Slope directions and angles.
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Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
\n\nThis achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
\n\nWe are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
\n\nThank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
\n\n\n\n\n'}],latestNews:[{slug:"intechopen-supports-asapbio-s-new-initiative-publish-your-reviews-20220729",title:"IntechOpen Supports ASAPbio’s New Initiative Publish Your Reviews"},{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"}]},book:{item:{type:"book",id:"83",leadTitle:null,fullTitle:"Properties and Applications of Silicon Carbide",title:"Properties and Applications of Silicon Carbide",subtitle:null,reviewType:"peer-reviewed",abstract:"In this book, we explore an eclectic mix of articles that highlight some new potential applications of SiC and different ways to achieve specific properties. Some articles describe well-established processing methods, while others highlight phase equilibria or machining methods. A resurgence of interest in the structural arena is evident, while new ways to utilize the interesting electromagnetic properties of SiC continue to increase.",isbn:null,printIsbn:"978-953-307-201-2",pdfIsbn:"978-953-51-4507-3",doi:"10.5772/615",price:159,priceEur:175,priceUsd:205,slug:"properties-and-applications-of-silicon-carbide",numberOfPages:548,isOpenForSubmission:!1,isInWos:1,isInBkci:!0,hash:"7e94cc189847633076ad5b2d23117c2f",bookSignature:"Rosario Gerhardt",publishedDate:"April 4th 2011",coverURL:"https://cdn.intechopen.com/books/images_new/83.jpg",numberOfDownloads:105050,numberOfWosCitations:175,numberOfCrossrefCitations:74,numberOfCrossrefCitationsByBook:33,numberOfDimensionsCitations:181,numberOfDimensionsCitationsByBook:40,hasAltmetrics:1,numberOfTotalCitations:430,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 18th 2010",dateEndSecondStepPublish:"June 15th 2010",dateEndThirdStepPublish:"September 20th 2010",dateEndFourthStepPublish:"November 19th 2010",dateEndFifthStepPublish:"February 2nd 2011",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7,8",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"19005",title:"Prof.",name:"Rosario",middleName:null,surname:"Gerhardt",slug:"rosario-gerhardt",fullName:"Rosario Gerhardt",profilePictureURL:"https://mts.intechopen.com/storage/users/19005/images/1644_n.jpg",biography:"Dr. Rosario A. Gerhardt is a professor of materials science and engineering at the Georgia Institute of Technology in Atlanta, GA, USA, where she has taught for the last 20 years. She was previously with the Center for Ceramics Research at Rutgers University in Piscataway, NJ and has also served as a visiting scientist to the NASA Marshall Space Flight Center in Hunstville, Alabama and the Center for Nanophase Materials Sciences at Oak Ridge National Laboratory in Oak Ridge, Tennessee. She received her D.Eng.Sc. in metallurgy and materials science from Columbia University in New York City under the guidance of Prof. A.S. Nowick. Prof. Gerhardt’s research interests include developing structure-processing-property relationships in all classes of materials. Over the years she has worked with ceramics, metals, polymers as well as composites in bulk, thin film and in nanostructure form. Most of her work has dealt with the electrical and microstructural characterization of materials using impedance and dielectric spectroscopy, microscopy via optical, SEM, TEM and AFM as well as x-ray and neutron scattering methods.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"1",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"737",title:"Electromagnetism",slug:"electrical-and-electronic-engineering-electromagnetism"}],chapters:[{id:"15083",title:"Identification and Kinetic Properties of the Photosensitive Impurities and Defects in High-Purity Semi-Insulating Silicon Carbide",doi:"10.5772/14302",slug:"identification-and-kinetic-properties-of-the-photosensitive-impurities-and-defects-in-high-purity-se",totalDownloads:2591,totalCrossrefCites:0,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"D. 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He has been employed by the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics (IAPMM), Ukraine for more than 40 years. Currently, he is the Head of Department of the Numerical Methods in Mathematical Physics at the IAPMM. His professional performance includes more than 160 papers in the scientific journals and international conference proceedings, which concern to the diffraction and antenna synthesis theory, optimization methods and nonlinear integral and matrix equations. He is author of two monographs in antenna theory. 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A successful trip is usually determined by the indispensable help of a good teacher and the toolset at their disposal. The former is especially true when one tries to acquire programming skills. These new skills require a new way of thinking that can only be obtained with practice and experience. Subsequently, it can be a very frustrating and time-consuming process. Several works like (Lewis, 2002) and (K. Proulx, 2000) describe the difficulties that novice programmers have to face.
\n\t\t\tThe main requirement to achieve good programming skills is to perform a lot of practices and exercises. The concepts that are under the hood have to be explained properly (here, the teacher\'s hand is essential), but the ability to use them correctly and smoothly can only be obtained by the practice and the experience.
\n\t\t\tThe labour of the teacher not only includes the theoretical lessons but also the practical ones. The teacher\'s labour to instruct these practical lessons include things as: designing of practices and exercises, helping with doubts that could arise, checking the solutions proposed and warning about the mistakes committed. All these tasks consume most of the teacher\'s time and limit his ability to instruct a large number of students. That is the reason why most programming classes have a low number of students.
\n\t\t\tUp to now, there have been many efforts to improve the productivity of the teacher by automating these processes as much as possible. That is why tutoring systems came into play. The first tutoring systems were very simple. They were usually oriented to learn only one programming language and they only offered a set of multiple-choice questions to evaluate the student.
\n\t\t\tNowadays, a new generation of ITS (Intelligent Tutoring Systems) and IPTs (Intelligent Programming Tutors) has emerged (See (Park, et al, 2001) for a good overview). There are several works related to programming tutoring systems for undergraduate students oriented to languages like Java, C, Lisp … The common aim of all those tutoring systems is to allow the students to familiarize themselves with the language basics (data structures, syntax, nomenclature, etc.).
\n\t\t\tAn example of a more sophisticated ITS is (Aguilar & Kaijiri, 2002). This work is based on the evaluation of prior knowledge and abilities, learning styles, intelligence type and the determination beliefs and attitudes. This system generates a tailored course based on the obtained results of a previous evaluation. Another example is (Aase & Kurfess, 2004). This work presents a Web-based learning environment to teach Artificial Intelligence concepts to college students.
\n\t\t\tAt present there are several IPTs (Intelligent Programming Tutors) like RAPITS (Rapid Prototyping Adaptive Intelligent Tutoring System) (J. Woods & R. Warren, 1995), SIPLeS (Y. S. & S. Xu, 1997), SIPLeS II (Xu & Y. S. Chee, 1999), MoleHill (S.R. Alpert et al., 1995), PROUST (Lewis, 2002) or INTELLITUTOR (Ueno, 2000). Also, there are works (like (Pillay, 2003)) that proposes a generic architecture for the development of intelligent programming tutors.
\n\t\t\tOne of the biggest problems that all tutoring systems have to face is that each student has its own way of thinking and learning style. The work (Valdés, 1999) describes the concept of learning style as “The set of cognitive, affective and physiological factors that will be used as stable indicators of how the learner perceives, how the learner interacts with his or her environment, or how he or she responds to the environment.” Furthermore, it mentioned that the learner uses learning styles when he or she applies strategies in the learning process. The learning styles have their basis in the neurological structures and in the experiences acquired through the life of an individual. A good tutoring system has to bend to this reality and adapts its behaviour depending on the learning style the student shows.
\n\t\t\tIn this work we present M-PLAT, an intelligent tutoring system aimed at learning programming languages. M-PLAT is focused on achieving a system that helps the student to gain practice and experience in learning a specific programming language. The design of M-Plat tries to cover those objectives that are crucial to achieve a good ITS. The basic objectives that M-PLAT intended to fulfil are the following: First, M-PLAT should allow the student to perform programming exercises that are adequate to his level of knowledge. Then, the system will check the solution proposed by the student. Finally, the student will receive a feedback about the quality of his solution and a summary of the existing faults and mistakes. Other objectives of the M-PLAT design are: support for on-line documentation, access to historical reports and evaluations, adapt the behaviour to each student characteristics, ensure authentication and non-refusal, present an usable and fool proof environment, etc.
\n\t\t\tGlobal System Schema
M-PLAT has been developed as a web application using a client-server architecture (figure 1). It has been developed using Web Services technology. Thus, the system is both platform and language independent. Client side application has been developed in Java. Basically it contains a GUI where students can study the corresponding topics and write their programs, which will be sent to server side application to be evaluated. Server side application has been written in C# and contains a database, lessons, exercises, compilers, an expert module that evaluate students, a pedagogical module that adapts the tutor behaviour, etc. The communication between those two applications is performed using the SOAP protocol. Due to our proposed system is platform independent, it can be used in a mobile device, in a laptop, or in a personal computer.
\n\t\tM-PLAT has been designed as a teacher\'s tool that eases the learning process for the student. The objective is to automate most of the learning process related to perform practical exercises. As a good intelligent tutor system, M-PLAT will adapt the level of requirements to the learning pace of each student. M-PLAT will provide to the student a learning environment where the student can perform the exercises proposed by the system. The system will compile, execute and check the student solution and a report with the faults and mistakes founded is sent to the student. The system will also record the student history in order to improve the learning experience.
\n\t\t\tM-PLAT is designed to operate in one of two working modes: online mode and offline mode. Each mode has different objectives and requirements. The online mode is focused on acquiring the practical basis and fastens the individual concepts. The work of the student consists on several exercises to be performed individually and oriented to acquire a specific concept or knowledge. These exercises are classified on different levels of exigency. The student should open an online M-PLAT session. After that, the system proposes exercises to the student, one at a time. Once the exercise is finished, it is submitted to the system. M-PLAT will compile, execute and check the solution. If it is OK the system proposes a new exercise. If not, the system sends the faults and mistakes founded and waits for the student to fix the solution.
\n\t\t\tThe offline mode is focused on learning how to mix the individual concepts and to perform larger exercises. The online behavior cannot be used here because these exercises take days or weeks to be finished, and it also common to propose the exercise as teamwork. These proposed exercises are intended to be developed using state-of-the-art programming environments (not M-PLAT). MPLAT is in charge of collecting the solutions and, after compiling, executing and checking, it sends to the authors a report with the results as soon as possible (normally within a day). But the tools to compile are external and maybe any of the existing into the market.
\n\t\t\tM-PLAT has been implemented as a web application. This design lets the client application to run on every platform and to update it everywhere instantly. The client is merely a GUI that offers the M-PLAT functionality that is implemented in the server. The communication between client and server is performed using Web services. The server offers a generic service called Programming Languages Learning Method (PLLM). This service is independent of the programming language used. The service is implemented as a bunch of modules, each one in charge of an specific task. These modules are:
\n\t\t\tThe communication module: Used as interface between client and server.
The expert module: Used for compiling and checking the online exercises.
The online documentation module: Used for offering documentation to the user.
The pedagogical module: Used to adapt the exercise level to the student behaviour.
The offline exercises module: Used to collect, compile and check the offline exercises.
The database module: Used to keep the students profiles and other useful information.
M-PLAT Architecture
The main aim of M-PLAT is to ease students the way they learn programming languages. Mainly, M-PLAT is focused on monitoring the progression of students that are coursing certain subjects, like Operating Systems, Distributed Systems, Advanced Programming, etc. Thus, the M-PLAT system provides two different working modes for students.
\n\t\t\t\tFirst mode, called online mode, is used for performing exams and exercises that can be developed in relatively short time. In this mode, a set of exercises is presented to the student, where the student has to solve an exercise before trying to solve next one. The student develops his solutions on the M-PLAT environment. When a student has finished its program, the source code is sent to the server to be compiled and evaluated. Then, a response with the results is sent back to client-side application. After that, the student will receive one of the following messages:
\n\t\t\t\tCompilation errors have been found.
There are no compilation errors, but the provided program is not correct.
The program is correct.
If the program is not correct, then the student has to modify its program and send it again to the server. The maximum number of tries that a student has to solve a corresponding exercise is configurable in M-PLAT.
\n\t\t\t\tThe most common way to use M-PLAT online is that the student performs exercises in order to get practice and experience. Thus, the student has to open a session on the M-PLAT environment. Then, the system will propose exercise after exercise trying to adjust the difficulty with the needs of the student. One of the most relevant features of MPLA-T is that it can adapt itself dynamically to each student’s behaviour. To do so, M-PLAT records the sessions and grab data about the behaviour of the student when solving the exercises and use this information to decide which exercise should be proposed next. For example, if M-PLAT detects that a student solves exercises fast with few errors, the next exercise will be more difficult. By the contrary, if a student has a considerable number of errors and spends more time than estimated to solve exercises, then next exercises will be easier. The main objective is to avoid the student to get stalled.
\n\t\t\t\tAnother popular use of the online mode of M-PLAT is to perform evaluation test and exams to obtain the level of the students. In this case the exercises are previously defined (normally by the teacher). Another variation is that the system output when a exercise is submitted can be restricted. For example, the system will notify the compilation errors, but not the execution errors; or it can notify if there are execution errors, but not which ones. Also the maximum number of submissions can be configured as well as a maximum time to perform the exam.
\n\t\t\t\tSecond mode, called offline mode, is used to evaluate exercises asynchronously. As said before the online behaviour cannot be used here because these exercises take days or weeks to be finished, and it also common to propose the exercises as a teamwork. This kind of exercises is commonly used to evaluate the level of the students. Thus, it is normal that the exercises proposed have a submission deadline. In this case M-PLAT is only in charge of the submission, correction and returning back the correction report. These practices are supposed to be performed in a real programming environment.
\n\t\t\t\tThe offline mode requires a fool-proof, secure and non-refutable submission environment That includes things like: using secure channels, authenticating using username and password, restricting the submission only for the correct files by checking the name and the type (using the extension and MIME types), returning the student an electronic-signed copy of his submission that can be used as a proof for him.
\n\t\t\t\tThe corrections are done off-line periodically (for example, once a day) and the resulting reports are sent to the students by e-mail. The policy about the correction reports depends on the learning objectives. The reports can be brief or detailed depending on the level of requirements to the students. The number of submission can also be limited to force the students to use they own correction techniques.
\n\t\t\tIn this work we have commented that the M-PLAT system follows a client-server architecture. The entire system consists of a set of modules; where each one has been designed to perform a concrete task. In this section, the functionality and the purpose of all those modules will be described with detail.
\n\t\t\t\tThis module contains a friendly and easy-to-use graphical interface. This GUI contains two sections. First one (Figure 3) is used to access the online documentation of a concrete programming language. Those lessons consist of HTML pages that are hosted and downloaded from the server. Those pages contain corresponding topics related to
\n\t\t\t\t\ttheoretical lessons, like loops, functions, modules, data structures …
\n\t\t\t\t\tThe second mode (evaluation mode) is used to evaluate students and check their skills about specific topics of the corresponding programming language. In evaluation mode the screen is split in two areas. The top area is the exercise description area, and the bottom area is the program area. In the program area students can write their programs (see Figure 4).
\n\t\t\t\t\tAlso, a student can obtain help while are writing a program. Thus, in the exercise description area is shown the current topic related to the corresponding exercise.
\n\t\t\t\t\tThis application is initially placed at the server side (a binary.jar file). Students have to use an Internet Browser to establish connection with server. Then, using the Web Start application, the client-side Java application will be downloaded to the client computer and then executed using the browser. The advantage of this system is two-folds. First, there is only one client-side application copy, which is stored in the server. Then, if we have to modify the application, we only have to change and compile one code. Thus, each time a student establish connection with server-side, the student will download the last version of the application. Second, we can enable access for certain versions of the client application. Thus, if we detect a security failure in the client-side application code, we can generate a new version that solves the problem and denying the access to the server to all previous versions that contain the failure.
\n\t\t\t\t\tM-PLAT GUI - Topic section
4. M-PLAT GUI - Evaluation section
Communication between client and server applications is performed by using Web Services. Web services can be seen as an application programming interfaces (API) exported across Internet. It lets clients to execute code on the servers, no matter how is developed each part (client or server).
\n\t\t\t\t\tWeb services allow different applications from different sources to communicate with each other without time-consuming custom coding, and because all communication is in XML, Web services are not tied to any operating system or programming language. Thus, software applications written in various programming languages and running on various platforms can use web services to exchange data over computer networks. For example, a client application written in Java running on Windows can communicate with a server application written in C# running on Windows.
\n\t\t\t\t\tThe characteristics that define web services are:
\n\t\t\t\t\tExtensible Markup Language (XML)
The HTTP standard is allowing more systems to communicate with one another. Moreover, web services can work through many common firewall security measures without requiring changes to the firewall filtering rules.
SOAP (built on XML) standardizes the messaging capability on different systems.
UDDI standardizes the publishing and finding of Web services.
WSDL standardizes the description of Web services so providers and requesters are speaking the same language.
Web Services are the core of M-PLAT communications. All the interfaces that define the services M-PLAT provides are in the communication module. This module solves any subject related with intercommunications issues, leaving the core business to the rest of the modules.
\n\t\t\t\tThe expert module is in charge of evaluating the programs written by students during the online sessions. This is done executing a set of tests for each exercise in order to evaluate the student solution. The aim of those tests is to check the correctness of a program implementation.
\n\t\t\t\tSoftware testing, which is the process of analyzing the software to detect the differences between the real behavior and the required behavior can be one using two techniques: white box technique and black box technique.
\n\t\t\t\tBlack box testing ignores the internal mechanism of a system or component and focuses solely on the outputs generated in response to selected inputs and execution conditions. With
White box testing takes into account the internal mechanism of a system or component.
M-PLAT System uses both White box and Black box testing methods. For example, in Java we use the Reflection API. With this API we are able to inspect the structure of a class at run-time, thus a method signature can be checked dynamically to check if a program satisfies the corresponding requirements or not. This is white box testing.
\n\t\t\t\tWhen a program is evaluated, it is not enough to compile the source code and check the method’s signatures, a set of tests must been checked. All tests are executed using the programs written by the students and the results are compared with the correct ones. If the student program passes a corresponding percentage of tests, then the program is considered correct. Those tests are black box testing.
\n\t\t\t\tThis module contains all tests corresponding to each programming language supported by M-PLAT, and also the configuration files to customize the number of tests of each problem.
\n\t\t\t\tThis module contains all lessons related to a concrete programming language or a certain subject (like Operating Systems). Those lessons are hosted in the server machine in HTML format. Thus, client applications can download the corresponding page to be visualized in the client machine. Those pages are visualized in the client application, no additional browser is needed
.This module contains the strategy to adapt the exercises level to each student programming skills. Thus, an advanced student is supposed to write complex exercises while a novel student should start solving very basic programs. The major goal of this module is to reduce the frustration that novice students fell when they try to solve complex programs without the necessary knowledge. Thus, a novice programmer will not solve complex programs until (s)he acquires the required level solving basic programs.
\n\t\t\t\t\tWe think that the best feature characteristic of M-PLAT is the possibility to dynamically adapt itself to the learning capacity of each student. In order to perform this adaptation successfully, our IPT has to learn how the students assimilate the concepts that the teacher explains in the classroom. One of the main tasks of this module is to calculate which is the actual level of knowledge of the student and decides the category of next exercises, using information obtained from the client application.
\n\t\t\t\t\tWe analyzed which aspects are relevant in order to study the corresponding learning capacities. We considered that the three following parameters are the most relevant: Time, memory, and number of errors. Next we briefly describe how these attributes are treated as well as their influence in the total computation.
\n\t\t\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
Let us remark that these three parameters are complementary to each other, that is, in order to compute the capacity of the student we should not use one of these parameters alone. Each parameter has a different weight, but the values of these weights can vary when we change the environment. For example, teachers usually appreciate that students have the smallest number of errors as possible. In particular, this means that students understand and learn the programming language that (s)he is teaching. On the contrary, the director of a company values with more priority the time parameter. This is so because it is not relevant
\n\t\t\t\t\tthat the employee has a lot of errors in previous versions of the program as long as the task
\n\t\t\t\t\tis finished soon, and the program works.
\n\t\t\t\tThe main purpose of this module is to manage all the issues related to the offline exercises. This includes submitting, testing, and sending the results. The submission is performed using a dynamic web page hosted in the M-PLAT server that uses HTPPS secure protocol. The solutions submitted are stored on the server. Periodically, this module takes the latest submissions and checks them with the test battery for this exercise. The results are then mailed to the students.
\n\t\t\t\t\tThis module is able to manage:
\n\t\t\t\t\t\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
\n\t\t\t\t\t\t
Those data is stored in a data base (see Figure 2). Figure 5 shows the Entity-Relation datagram that this module performs with the data base.
\n\t\t\t\t\tOnce students are registered in the system, they can send the corresponding programs related to an exercise. By default, the system is configured to evaluate all solutions daily at the same time. The e-mail sent to each student shows the corresponding qualification and a list of tests that the corresponding solution passes and does not.
\n\t\t\t\tOur proposed system keeps profiles for each student where the relative information about the programs written as well as the evaluation of them will be stored. We think that this is a very useful feature of our system. On one hand, teachers can obtain statistics and evolution of all students. On the other hand, any student can check its own evolution in the knowledge of the respective programming language or subject.
\n\t\t\t\t\tMoreover, M-PLAT system is able to load students in the Data Base using lists. Those lists must contain a set of students where each student is represented with two values: Name and ID.
\n\t\t\t\t\tName: Contain the complete name and surname.
\n\t\t\t\t\tID: Identity National Document number.
\n\t\t\t\t\tOur University (Universidad Carlos III de Madrid) provides a system to export list of students in two formats: plain text and excel format. Thus, M-PLAT system can import those lists using whatever of those two formats.
\n\t\t\t\t\tEntity-Relation schema
In order to check the performance of the proposed system, a performance test simulating the learning style of a group of students has been made. The main objective of this performance evaluation test is to obtain the maximum number of students that can use the system simultaneously, maintaining a reasonable performance of the system. When several students using the system send programs to the server side, the system will compile and evaluate all those programs simultaneously. The response time of each student logically will increase when the number of students grows. The features of each machine that contains the service (server) are:
\n\t\t\tIntel Pentium 4 CPU 3.20 GHz.
2 GB of RAM. Cache size of 1024 KB.
Seagate Disk (300 GB)
Those machines are connected to Internet through an Ethernet Gigabyte network. All programs sent by students are written in Java Language. The Java compiler version used is 1.5.0_07.
\n\t\t\tThe performance test consists of several students making a M-PLAT-Java exam. An exam in M-PLAT consists of 10 problems where students have to write a program for each problem. Each one of those programs is sent to server side to be compiled and evaluated, and then the results are sent to client side. A student has 10 tries to write a correct program for each problem.
\n\t\t\tBecause it is very difficult to get enough students to make a real test, we have decided to simulate the student’s behavior. The students have been grouped, depending of the learning style, in three categories: novice programmers, intermediate programmers and advance programmers.
\n\t\t\t\n\t\t\t\tFigure 5 shows the simulated learning style of each category. The x axis shows the number
\n\t\t\tof times that a student has sent a program to the server to be evaluated. The y axis shows the probability that the program sent will be correct. If a program is not correct, the simulated behavior of each student waits, depending of the student category, an amount of time (between 2 and 5 minutes) after send again the program to server.
\n\t\t\tNovice student behavior has been modeled with a normal distribution with parameters μ=6,5 and σ=2,5. This model reflects that the probability of a program written by a novice programmer to be correct is very limited the first times. This kind of students tends to send several times an incorrect program and debug it with the feedback provided by the server, where several error and advices messages are shown. This category of students needs to send a program 7 times to reach the 50% of probability of the sent program to be correct.
\n\t\t\tIntermediate student behavior has been modeled with a normal distribution with parameters μ=5 and σ=3. This kind of students corrects faster an incorrect program than novice programmers. Thus, those students send a smaller number of programs to the server. To reach the 50% of probability that the sent program is correct those users need to send a program 5 times.
\n\t\t\tAdvanced student behavior has been modeled with a normal distribution with parameters μ=2 and σ=5. This kind of students learns fast. At the 2nd try, this kind of students reach the probability of 50% that the sent program is correct.
\n\t\t\t\n\t\t\t\tFigure 6 shows the results when several simulated students make a M-PLAT Java exam. Based on the qualifications of last year, the category student ratio is: 30% of novice students, 50% of intermediate students and 20% of advanced students.
\n\t\t\t6. Modeling of student learning style
7. Average response time of a Java exam
With only one student, the response time is 0,494 seconds. When we increase the number of students, we can observe that response time increases.
\n\t\t\tWe want to obtain a response time not superior than 5 seconds. With only one server, we reach that limit with 250 students, and that limit is really exceeded with 500 students (46,7 seconds). When we use 2 servers, we can support 500 students obtaining a response time approximately of 5 seconds (4.88 seconds). Finally, using 4 servers, we can support up to 1000 students with a response time of 5,005 seconds. In general, analyzing those results we can conclude that our system has a great scalability. In fact we can assume that each one of the used server here can support up to 250 students simultaneously.
\n\t\tIn this paper we have presented an intelligent adaptive tutor for allowing students to overcome learning difficulties of programming languages. Moreover, the proposed system adapts itself dynamically to each student learning style. The tutor can be easily customized to deal not only with different programming languages but also with different approaches to teach them.
\n\t\t\tThe evaluation includes a scalability and performance test that was made by simulating the learning style of several students while they were learning several programming languages using the intelligent tutor.
\n\t\t\tAs future works we plan upgrade M-PLAT to support more programming languages like C, C++, Lisp, Pascal, etc. Finally a new feature that we have in mind is to provide a non interactive automatic correction system for a great number of students, which will be notified via e-mail with the corresponding qualification.
\n\t\tThere are many different definitions of aspect in the literature. These definitions are made in three ways: by direction, by maximum variation, and by degree. The first definition group is the most commonly used. The concept of direction is to the come to the forefront. According to some researchers, the aspect at a point on the land surface is the direction that the tangent plane passing through that point faces and is expressed in degrees (the angle defined in the clockwise direction from the north) [1]. In its simplest form, the aspect is a data type that expresses the geographical direction in which the slopes develop.
According to the second definition, the aspect represents the maximum slope direction of the land surface [2]. Or, for any point, the aspect represents the direction of the maximum variation of the degree of variation of the height value [3]. According to some researchers, it is defined as the compass direction of the maximum rate of change [4, 5]. According to some researchers, it can also be defined as the slope direction, which defines the downward direction of the maximum rate of change in maximum, or as the dip direction, which defines the downward slope direction of the maximum altitude change rate [6, 7].
According to the third and last definition, the expression of the directions in degrees is in the foreground. Aspect defined it as the clockwise faces of a slope varying between 00 and 3600, measured in degrees from the north [8, 9]. Generally, the aspect ranges from 0° to 360° and are handled as 45° groups, and the directions are grouped clockwise as north, northeast, east, southeast, south, southwest, west and northwest.
An aspect map shows both the direction and grade of a terrain at the same time. Therefore, it is an important factor in the analysis and production of landslide susceptibility maps. In the literature, there are many studies that accept and use aspect, landslide, as the main conditioning factor [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]. While some authors [13, 14, 15, 16] consider landslides as a controlling factor, others [17, 18] do not see it as a conditioning factor. While some researchers say that aspect has no significant effect on landslides [19], some researchers have also argued that there is an important relationship between slope aspect and landslide occurrence [20]. According to most researchers, aspect has an indirect effect on landslide [21]. While some researchers associate this relationship mainly with precipitation [22, 23, 24, 25, 26, 27, 28, 29, 30, 31], others have associated this with the general morphological trend of the area [27, 32]. According to most researchers, it has been argued that the relationship between landslide and aspect is also related to the dominant wind direction [33, 34, 35]. Some researchers, on the other hand, consider the effect of the aspect on the landslide, the general precipitation direction of the region, freeze–thaw, sunlight [35], longer snow retention on sun-drenched slopes, moisture retention, soil type, permeability, porosity, moisture, organic components, land and vegetation (forest, grassland, bushland, farmland), evapotranspiration [36], evaporation transpiration, climatic season, rock structure [37], It explains that factors such as discontinuities and fault orientation decrease the slope stability [10, 11, 24, 28, 30, 32, 38, 39]. Many parameters are used in landslide susceptibility studies, but it is stated that there are very few parameters that are thought to have a direct effect on landslides. The aspect parameter has also been investigated for a long time [3, 16, 28, 40, 41, 42, 43], but it is one of the parameters on which no consensus can be reached [3, 44, 45, 46, 47]. In the examined studies, it was determined that the aspect parameter indirectly affects the landslide. It is thought that this parameter triggers the landslide together with other parameters. Some researchers, especially in their studies on small-scale landslides, have determined that the angle with the slope affects the stability negatively [48, 49, 50]. Many researchers state that aspect is as effective as slope in the formation of landslides [11, 12, 13, 23, 24, 28, 30, 45, 51, 52, 53, 54, 55]. Apart from slope, aspect is one of the most important parameters in preparing hazard and zoning maps [13, 23, 24, 28, 30, 54].
As seen from the studies examined, the aspect parameter is a parameter that differs in each study area. For this reason, it has been interpreted that it should be examined together with other parameters rather than being an effective parameter in terms of landslide susceptibility alone [46]. According to Ramakrishnan et al. [56] stated in their study that different types of mass movements (plane, wedge, slope and soil slide) play an important role in control. However, there is no determination as to the extent to which the bee affects the landslide susceptibility.
In studies, landslides must be concentrated on slopes with a certain orientation in order to take into account the aspect. In many studies, researchers have determined that landslides are concentrated on slopes with certain orientations in their statistical evaluations [13, 22, 23, 24, 25, 26, 27, 28, 29, 30, 51, 57]. However, there are studies using the parameter in studies conducted in areas with equal landslide distribution in all directions. Generally, in such a finding, the lowest score is given to the aspect parameter.
The aspect factor is controlled by the climate process. Elevation and slope angle are also effective factors on this parameter. On the other hand, there are processes controlled by the aspect factor. The most important of these is plant ecology. This is followed by forestry, site selection and planning. Land morphology is under the influence of structural elements. It takes a long time to change. The biggest factor controlling the view is the structural and dynamic morphological conditions that form the silhouette of the field from past to present [58].
Although there are parameters that are agreed upon among researchers in the literature, look is not among them. For this reason, with this study, the relationship between aspect and landslide was tried to be revealed and this uncertainty in the literature was examined.
It is stated that the parameter contributes to the landslides by affecting other parameters. Since wind direction causes precipitation intensity and erosion of sun-facing slopes, aspect indirectly affects landslide [33, 34]. Although it is stated in the literature that the effect increases with the angle of slope and elevation, the effect on landslides is mostly mentioned together with the climatic conditions. Aspect parameter is generally in close relationship with climatic conditions [59]. The parameter determines the effect of rain direction, amount of sunlight, solar heat, soil moisture, wind and air dryness [39, 60]. Since it controls the soil moisture concentration with the effect of climate, it is considered as an important factor indirectly triggering landslides [61, 62, 63]. Therefore, due to its morphology, how the aspect factor affects the climatic parameters by modifying it should be correlated.
The conditions for the slopes facing different directions to be affected by atmospheric events such as precipitation, sun, light, freeze–thaw are also different. Therefore, it is possible to evaluate the relationship of the parameter with the climate in 3 parts. These are precipitation, sun and wind.
The most important factor affecting aspect is precipitation. Most of the researchers studying the aspect parameter associated landslide with precipitation. In the literature, there are studies that argue that slopes that receive precipitation and are in the shade are more susceptible to landslides. In the literature, there are researchers who stated that landslides are very common on the slopes where monsoon precipitation falls more frequently in the study areas [2, 35, 64, 65, 66]. After exposure to physical weathering during the dry season, they are prone to landslides with the emergence of strong monsoon precipitation and winds [67]. In their study in Greece, Alexakis et al. [68] and Kouli et al. [69] determined that the slopes facing northeast and northwest received heavy rainfall and the most landslides were observed here.
If precipitation exceeds the threshold value in an area and the area is unstable, landslides are likely to occur. In this respect, precipitation should be considered as a triggering factor and aspect as a preparatory factor. Critical slope angle values of soils in dry and saturated conditions are examined. It has been determined that the saturation or dryness of the soil affects the critical slope angle by about 40%. In this case, the slopes receiving the most precipitation were considered the most dangerous, and the slopes receiving the least precipitation were considered the least dangerous [27, 70].
The reason for the fact that landslides are significantly higher on a slope facing any direction compared to the others is that the torrential rains and heavy rains that developed during the landslide occurred along a line from that direction. For this reason, it can be observed that landslides are more intense on slopes that receive heavy rainfall. This depends on the infiltration capacity, which is controlled by many factors such as the type of soil, its permeability, porosity, moisture and organic matter content, vegetation and the season in which precipitation occurs. Slopes that receive precipitation reach saturation more quickly and cause higher pore water pressure to develop within the soil. As a result, the pore water pressure on these slopes increases [11, 42, 67, 71, 72].
It has been determined that there is a negative effect on the landslide mechanism in the form of the reason that the snow cover stays longer in the places that are not exposed to the sun and the water holding capacity increases accordingly [20, 73, 74, 75, 76]. Avcı [76] determined that in the Esence Stream Basin, which is the study area, the south-facing slopes receive plenty of precipitation with the effect of the facade systems, this precipitation falls in the form of snow in the winter season, and the increase in the amount of snow melts and precipitation in the spring season facilitates the landslides.
Landslides occurring in a certain slope direction are associated with long-term freezing and thawing movements [20, 73, 77]. In certain directions it is associated with increased snow concentrations and thus longer times for freeze and thaw action and intense erosion [77].
Calligaris et al. [78] defined the aspect as the reflection of the sun’s insolation. Aspect affects solar radiation and therefore temperature. Aspect affects the amount of heat energy taken from the sun and thus water loss by transpiration and evaporation [79]. The slopes that are most exposed to the sun’s rays reveal evapotranferance [9]. This affects the soil moisture in the ground. In addition, evaporation affects vegetation distribution and type. In the literature, there are researchers who determined that landslides occur more intensely on slopes that are more exposed to sunlight [9, 11, 35, 39, 42, 71, 72, 80, 81]. In the literature, there are studies that determine that slopes that receive sun are more prone to landslides than slopes that receive rain. Bijukchhen et al. [82] determined that in their study areas, in general, slopes sloping towards the sunlight and precipitation region have a higher landslide hazard propensity compared to the slope in the rain shadow. Although this parameter is usually evaluated together with the aspect, Görüm [83] determined in her literature research that 72 studies used aspect and 3 studies used sun exposure as an input parameter.
Remondo et al. [84], on the other hand, used the values on this date in their studies for landslide susceptibility assessment, since 21 March will be the most sun exposure. Tasoglu et al. [85], in their work; they determined that it was exposed to direct sunlight in east, southeast, south and southwest directions and sunlight was quite effective in inducing landslides.
Like exposure to sunlight, the drying wind also controls soil moisture concentration. This is a determinant of landslide occurrence [61, 62, 67, 71]. Slope exposure shows possible effects of prevailing winds, differential weather and related effects.
Lithology: indirectly, it triggers the landslide together with the view. Afungang et al. [86] determined that thick pyrolastics as debris in the study areas were more susceptible to landslides in windward slope directions. Yeşiloğlu [87] evaluated the effects of lithology and landslide together in his study. An aspect map has been created to be used in the evaluation of the relationship between the production of debris material from limestones and aspect. According to Ayalew et al. [70] stated in their study that the distribution of landslides in regions close to the oceans increases with the effect of wave effect, weathering and subsequent coastal erosion.
Along with the fault, there are also those who research the effect of the landslide on the landslide, there are also those who research the effect of the landslide on the landslide. There are researchers who observed that landslides intensified in certain slope directions before and after the earthquake in the study areas [2, 39, 88, 89].
Guillard and Zezere [90] stated that south-facing slopes receive more sunlight than north-facing slopes in their study area, but since the geological structure of the area is characterized by a monocline dipping to the south and southeast, more landslides occur on south-facing slopes.
Aspect plays an important role in stability assessment; because it controls vegetation distribution, type, density and root growth on a land [11, 39, 80, 91]. It also controls moisture content in soil and vegetation growth due to exposure to sunlight, which also affects soil strength, landslide, infiltration and run-off rates [63, 92]. Dahal [93] added aspect data in his research for the purpose of detecting plant propagation and increasing the accuracy rate according to the aspect effect in the study area.
Champati ray et al. [94] and Srivastava et al. [95] found that most of the south-facing slopes in the Himalayan study areas were devoid of or have insufficient vegetation due to low soil moisture, which plays an important role in the assessment of slope stability in their field. On the other hand, the north side is less exposed to the sun’s rays, thus conserving the moisture in the soil. For this reason, taller trees are growing, which tends to stabilize the northern slope. The absence of vegetation provides the slope material with dryness and therefore reduces its adhesion strength.
During the literature review, it was determined that while more intense landslides were observed on the slopes facing one direction, less landslides were observed on the opposite side of this direction. Since the “south, southeast, southwest and west” aspects are generally warmer in Turkey, they are called sunny aspects. On the contrary, “north, northeast, northwest and east” aspects are also called shaded aspects because they are cooler. The sun exposure times of these two groups differ markedly. Since the slopes facing south and west are more exposed to sunlight, evaporation is rapid in these regions. Otherwise, since evaporation is slow and the soil stays moist for a long time, the risk of flooding is higher on north and east facing slopes in case of excessive precipitation [96]. Again, in his field study in Turkey, Ozsahin [97] determined the probability of the highest landslide occurrence as N and W directions and stated that the humidity was relatively higher on the slopes facing these directions.
In areas where landslides occur on the south side, a higher amount of solar insulation occurs. On slopes with higher insulation and higher temperatures, erosion increases. Areas where vegetation is removed are exposed to direct sunlight, creating drier soil conditions, which increases the likelihood of landslides [98]. According to Devkota et al. [47], Hong et al. [99] and Chena et al. [11], most of the landslides occurred on the slopes facing south and southeast in the study areas. The biggest reason for this is that the highest precipitation rate is seen on the south-facing slopes. Meinhardt et al. [65] determined that the water saturation of the slopes increased with the effect of southwest monsoon rains in the study areas and the highest slip density was found in the south and southwest. Tombus [100], on the other hand, determined in his study that the erosion value is higher on slopes facing south than on slopes facing other directions.
In the studies conducted in the Black Sea, it was observed that landslides were intense on the slopes facing north. The reason is that the region is under the influence of precipitation from the north and north-facing slopes are more affected by precipitation. From this, it can be concluded that the air currents coming from the sea in the study areas close to the sea will affect more areas in the region. It is known that the Black Sea receives more precipitation than the north due to the high evaporation of precipitation. For this reason, north-facing slopes are examined as the most dangerous in terms of soil saturation in the study area, and south-facing slopes are examined as the least dangerous. [101, 102]. According to Hadji et al. [9] determined that the slopes in the study area are mostly in the north-facing directions. In addition, they determined that the most precipitation in winter comes from the northwest. They also determined that they affect the clays in the ground and therefore trigger landslides.
In their study, Lineback et al. [103] found more landslides in the north and northwest-facing directions than in the south-facing directions. They stated that the southern parts remained drier as the reason for this. Wang and Unwin [104], on the other hand, found evidence in their study that the probability of slipping increases in the north-facing slope direction. As justification, they showed that the main precipitation directions in the Zagros Mountain Belt are north and west, and the main solar direction is east and south [105]. According to Saha et al. [4] determined that, in general, south-sloping slopes have less vegetation density than north-facing slopes, and therefore they are more sensitive to landslide activity in the study areas. On the other hand, Marston et al. [106] observed that, due to geographical conditions, north and west facing slopes have a higher moisture content for a longer period of time and cause higher landslide susceptibility in their study area. They emphasize that exposed soil on south-facing slopes is subject to cycles of wetting and drying, thereby increasing landslide activity in the Himalayas [20]. According to Rahman et al. [79] found that south-facing slopes were more exposed to the sun and north-facing slopes were least exposed to the sun in their study area.
As a result, they determined that the north direction and the least south direction were sensitive to landslides in their fields. They showed that the reason for this is that it takes longer time for the soil to dry in the shaded areas on rainy days. According to Akinci et al. [107] found that in the study areas, the slopes are more north-oriented and again, landslides occur mostly in this direction. They stated that these slopes are more humid with the effect of aspect, while the temperature and evaporation are low on the slopes facing north, and the soil moisture is high. In addition, they stated that the amount of precipitation and snow melts are high on the southern slopes. Afungang et al. [86] found that north and northwest-facing slopes at higher altitudes received more precipitation and sun than south-facing slopes. Therefore, it was determined that the southwest-facing slopes were drier, less windy, and received less solar radiation with less landslides. Champati ray et al. [94] and Srivastava et al. [95], in their study in Himelaya, found that more landslides occurred on the southern front compared to the northern front. Temiz [101] and Yalçın [102], on the other hand, determined that north-facing slopes were the most dangerous in terms of soil saturation in the study area, and south-facing slopes were the least dangerous.
The reasons for the change in the number of class intervals can be counted as the slopes being oriented in a certain direction, the absence of landslides in some directions or the presence of very few pixels. It is usually given to flat areas such as lakes and seas [20]. For example, the probability of landslides in “flat” areas is almost zero [34]. However, Yeşilnacar and Topal [108] with Çevik and Topal [109] stated that the landslides in the study area occurred equally in different slope orientations and emphasized that it is not an effective parameter in their studies. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees. Aspect is measured clockwise towards north and takes positive values between 0 and 360 degrees. In order to create a slope orientation map, on the basis of 4 main geographical directions and these main directions (NE, NW, SE and SW), which of these directions the slopes face in the study area and their relations with the directions of the landslides are determined [101, 102]. It indicates 0° north, 90° east, 180° south and 270° west [32]. In the landslide analysis, a categorical structure is formed according to 450 angles. When the researchers grouped the slope orientation values in their studies, they determined which orientations the landslides intensified. The perspective angles and values made in the studies are given in Table 1.
North | Northeast | East | Southeast |
---|---|---|---|
00–22.50, 337.50–3600 | 22.50–67.50 | 67.50–112.50 | 112.50–157.50 |
South | Southwest | West | Northeast |
157.50–202.50 | 202.50–247.50 | 247.50–292.50 | 292.50–337.50 |
Slope directions and angles.
In studies, very different grade ranges from 4 to 10 are used. According to the literature, the most preferred 8 grade ranges.
Some researchers preferred to use 4 main aspects in the aspect parameter they used in their studies. There are researchers who use the aspects divided into 4 groups in their studies in different ways. According to Temesgen et al. [110] used 4 cardinal directions: north, south, east and west. Özşahin and Kaymaz [111] have 4 classes; they used it by arranging it as straight/N-NE-NW/S-SE-SW/E-W. There are studies that use the aspect by classifying it in 5 ways [6, 97, 105, 112].
In the literature, three different directions were found in the 5-category. The first of these; flat (−1°), north (315°-360°, 0°-45°), east (45°-135°), south (135°-225°) and west (225°-315°) [113]. The second classification is; (1) SW 1810–2250, (2) SE 1360–1800, (3) ESE 910–1350 and SWW 2260–2700, (4) NEE 460–900 and WNW 2710–3150, (5) NNE 00–450 and NWN 3160–3600 [74]. The third and final classification is; It is flat, NE, SE, SW and NW [50].
Aspect maps divided into 6 classes are very common in the literature. Kumtepe et al. [114] prepared this classification as 0–60°, 60–120°, 120–180°, 180–240°, 240–300°, 300–360°.
The second most preferred classification in the literature is 8 classes prepared with groups of 450 divided into equal class intervals [35, 43, 45, 54, 65, 79, 94, 95]. This classification; N (337.5–22.5), NE (22.5–67.5), E (67.5–112.5), SE (112.5–157.5), S (157.5–202.5), SW (202.5–247.5), W (247.5–292.5) and NW (292.5–337.5) [37]. Ramakrishnan, et al. [56], on the other hand, arranged the 8-class classification differently as 45–90, 90–135, 135–180, 180–225, 225–270, 270–155 and 315–360 degrees.
According to the literature, the most preferred classification is groups of 9 [11, 32, 47, 52, 53, 66, 68, 69, 71, 87, 93, 95, 109, 102, 113]. In studies, this classification is; flat area (−1°), north (337.5° -22.5°), northeast (22.5° -67.5°), east (67.5° -12.5°), southeast (112.5° -12.5°) 157.5°), south (157.5° -202.5°), southwest (202.5° -247.5°), west (247.5° -292.5°), and northwest (292.5° -337.5°) [49, 46, 67, 73]. According to Rozos et al. [74] is this group; They used NNE, NEE, SEE, SSE, SSW, SWW, NWW, NNW, as flat shapes. The interesting thing about this classification is that the surface is displayed from 2 different angles.
The graph in Figure 1 was prepared using the literature data. It is seen that the most used classification is the groups of 56% and 9 percent. Again, it is seen from the graph that the group of 1 to 4 is the least used class.
Distribution of class range values used according to the literature.
According to the literature, the most used direction classes are given in Figure 2. The direction of the landslide areas varies according to the study areas. However, in the studies examined, it is understood that the directions where landslides occur most are the slopes facing south and west. The probability of landslides in other directions is almost equal. In some studies, landslides were encountered at an equal level in all directions.
Distribution of landslide areas according to directions.
In this study, the use of aspect parameter in landslide susceptibility studies and its effect on landslide were investigated. It is one of the parameters that cannot be agreed upon by the researchers. While some researchers associate landslide occurrences in the study area with this parameter, some researchers argued that landslides are equally distributed in all directions and that the parameter is ineffective.
It is a fact that this parameter should not be evaluated alone, as in other parameters. The parameter is the predisposing factor for the triggers. One of these triggers is precipitation. There are many studies showings that intense landslides occur on slopes that receive rainfall. Climatic events such as sun, wind, snow water, freeze–thaw are also associated with the aspect parameter. The other two parameters most associated with climatic factors are geology and vegetation.
The other subject discussed in the study is the relationship of the directions with each other and with the landslide. The most common landslides seen in the studies examined are south and north directions. There is an opposite relationship between them. If there are frequent landslides on the south-facing slopes, there are almost no landslides on the north-facing slopes. Again, on the contrary, if landslides are concentrated on the north-facing slopes, landslides are not expected in the southern part. If a landslide occurs more in the south, it is associated with sun exposure, drought and lack of vegetation. Those occurring in the north are mostly evaluated by heavy rainfall, humidity and the water holding capacity of the soil.
Finally, the class ranges used in the literature are included in the study. Aspects used in the literature. In the studies, this classification is; flat area (−1°), north (337.5° -22.5°), northeast (22.5° -67.5°), east (67.5° -12.5°), southeast (112.5° -12.5°) 157.5°), south (157.5°) ° -202.5°), southwest (202.5° -247.5°), west (247.5° -292.5°) and northwest (292.5° -337.5°). Depending on the user’s preference, some prefer the main classes, while others include intermediate aspects in their work. Some studies do not include aspects that do not appear to have landslides in their studies. In this way, various classifications such as 4, 5, 6, 8 and 9 are used. While the most preferred 9 classes are the least preferred groups of 4. With this study, the use of the aspect parameter in landslide susceptibility studies and its effect on the landslide together with other parameters were revealed.
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. 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H. Gulrez, Saphwan Al-Assaf and Glyn O Phillips",authors:[{id:"58120",title:"Prof.",name:"Saphwan",middleName:null,surname:"Al-Assaf",slug:"saphwan-al-assaf",fullName:"Saphwan Al-Assaf"}]}],mostDownloadedChaptersLast30Days:[{id:"35255",title:"Mechanical Transmissions Parameter Modelling",slug:"mechanical-transmissions-parameter-modelling",totalDownloads:7415,totalCrossrefCites:1,totalDimensionsCites:2,abstract:null,book:{id:"1982",slug:"mechanical-engineering",title:"Mechanical Engineering",fullTitle:"Mechanical Engineering"},signatures:"Isad Saric, Nedzad Repcic and Adil Muminovic",authors:[{id:"101313",title:"Prof.",name:"Isad",middleName:null,surname:"Saric",slug:"isad-saric",fullName:"Isad Saric"}]},{id:"68505",title:"Research Design and Methodology",slug:"research-design-and-methodology",totalDownloads:25071,totalCrossrefCites:9,totalDimensionsCites:18,abstract:"There are a number of approaches used in this research method design. The purpose of this chapter is to design the methodology of the research approach through mixed types of research techniques. The research approach also supports the researcher on how to come across the research result findings. In this chapter, the general design of the research and the methods used for data collection are explained in detail. It includes three main parts. The first part gives a highlight about the dissertation design. The second part discusses about qualitative and quantitative data collection methods. The last part illustrates the general research framework. The purpose of this section is to indicate how the research was conducted throughout the study periods.",book:{id:"8511",slug:"cyberspace",title:"Cyberspace",fullTitle:"Cyberspace"},signatures:"Kassu Jilcha Sileyew",authors:[{id:"292841",title:"Ph.D.",name:"Kassu",middleName:null,surname:"Jilcha Sileyew",slug:"kassu-jilcha-sileyew",fullName:"Kassu Jilcha Sileyew"}]},{id:"67558",title:"Polymerase Chain Reaction (PCR): Principle and Applications",slug:"polymerase-chain-reaction-pcr-principle-and-applications",totalDownloads:10632,totalCrossrefCites:8,totalDimensionsCites:18,abstract:"The characterization of the diversity of species living within ecosystems is of major scientific interest to understand the functioning of these ecosystems. It is also becoming a societal issue since it is necessary to implement the conservation or even the restoration of biodiversity. Historically, species have been described and characterized on the basis of morphological criteria, which are closely linked by environmental conditions or which find their limits especially in groups where they are difficult to access, as is the case for many species of microorganisms. The need to understand the molecular mechanisms in species has made the PCR an indispensable tool for understanding the functioning of these biological systems. A number of markers are now available to detect nuclear DNA polymorphisms. In genetic diversity studies, the most frequently used markers are microsatellites. The study of biological complexity is a new frontier that requires high-throughput molecular technology, high speed computer memory, new approaches to data analysis, and the integration of interdisciplinary skills.",book:{id:"7728",slug:"synthetic-biology-new-interdisciplinary-science",title:"Synthetic Biology",fullTitle:"Synthetic Biology - New Interdisciplinary Science"},signatures:"Karim Kadri",authors:[{id:"290766",title:"Dr.",name:"Kadri",middleName:null,surname:"Karim",slug:"kadri-karim",fullName:"Kadri Karim"}]},{id:"62059",title:"Types of HVAC Systems",slug:"types-of-hvac-systems",totalDownloads:12391,totalCrossrefCites:8,totalDimensionsCites:14,abstract:"HVAC systems are milestones of building mechanical systems that provide thermal comfort for occupants accompanied with indoor air quality. HVAC systems can be classified into central and local systems according to multiple zones, location, and distribution. Primary HVAC equipment includes heating equipment, ventilation equipment, and cooling or air-conditioning equipment. Central HVAC systems locate away from buildings in a central equipment room and deliver the conditioned air by a delivery ductwork system. Central HVAC systems contain all-air, air-water, all-water systems. Two systems should be considered as central such as heating and cooling panels and water-source heat pumps. Local HVAC systems can be located inside a conditioned zone or adjacent to it and no requirement for ductwork. Local systems include local heating, local air-conditioning, local ventilation, and split systems.",book:{id:"6807",slug:"hvac-system",title:"HVAC System",fullTitle:"HVAC System"},signatures:"Shaimaa Seyam",authors:[{id:"247650",title:"M.Sc.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"},{id:"257733",title:"MSc.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"},{id:"395618",title:"Dr.",name:"Shaimaa",middleName:null,surname:"Seyam",slug:"shaimaa-seyam",fullName:"Shaimaa Seyam"}]},{id:"70315",title:"Some Basic and Key Issues of Switched-Reluctance Machine Systems",slug:"some-basic-and-key-issues-of-switched-reluctance-machine-systems",totalDownloads:1261,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Although switched-reluctance machine (SRM) possesses many structural advantages and application potential, it is rather difficult to successfully control with high performance being comparable to other machines. Many critical affairs must be properly treated to obtain the improved operating characteristics. This chapter presents the basic and key technologies of switched-reluctance machine in motor and generator operations. The contents in this chapter include: (1) structures and governing equations of SRM; (2) some commonly used SRM converters; (3) estimation of key parameters and performance evaluation of SRM drive; (4) commutation scheme, current control scheme, and speed control scheme of SRM drive; (5) some commonly used front-end converters and their operation controls for SRM drive; (6) reversible and regenerative braking operation controls for SRM drive; (7) some tuning issues for SRM drive; (8) operation control and some tuning issues of switched-reluctance generators; and (9) experimental application exploration for SRM systems—(a) wind generator and microgrid and (b) EV SRM drive.",book:{id:"8899",slug:"modelling-and-control-of-switched-reluctance-machines",title:"Modelling and Control of Switched Reluctance Machines",fullTitle:"Modelling and Control of Switched Reluctance Machines"},signatures:"Chang-Ming Liaw, Min-Ze Lu, Ping-Hong Jhou and Kuan-Yu Chou",authors:[{id:"37616",title:"Prof.",name:"Chang-Ming",middleName:null,surname:"Liaw",slug:"chang-ming-liaw",fullName:"Chang-Ming Liaw"},{id:"306461",title:"Mr.",name:"Min-Ze",middleName:null,surname:"Lu",slug:"min-ze-lu",fullName:"Min-Ze Lu"},{id:"306463",title:"Mr.",name:"Ping-Hong",middleName:null,surname:"Jhou",slug:"ping-hong-jhou",fullName:"Ping-Hong Jhou"},{id:"306464",title:"Mr.",name:"Kuan-Yu",middleName:null,surname:"Chou",slug:"kuan-yu-chou",fullName:"Kuan-Yu Chou"}]}],onlineFirstChaptersFilter:{topicId:"1",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"83004",title:"Pyridine Heterocycles in the Therapy of Oncological Diseases",slug:"pyridine-heterocycles-in-the-therapy-of-oncological-diseases",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.106406",abstract:"Oncological diseases pose a major challenge for modern medicine. Heterocyclic compounds play a vital role in modern medical and pharmaceutical science as most medicinal substances incorporate them. Nitrogen-containing heterocycles serve as the basis of numerous drugs and, therefore, are deeply involved in the design and synthesis of promising new therapeutic agents. Pyridine or pyrimidine scaffolds, with a number of substituents attached, comprise a large portion of FDA-approved drugs. They are chemically stable in the human body, manifest an affinity for DNA via hydrogen bonding, and present an opportunity for the development of novel anticancer agents. A large number of pyridine-based molecules are synthesized and tested for anticancer activity each year. The present chapter aims to introduce the most current synthetic approaches, published in scientific literature, and would also elaborate on structure-activity relationships described therein.",book:{id:"11562",title:"Chemistry with Pyridine Derivatives",coverURL:"https://cdn.intechopen.com/books/images_new/11562.jpg"},signatures:"Lozan T. Todorov and Irena P. Kostova"},{id:"82999",title:"Understanding the Artificial Intelligence Implementation for Allocating an Order to a Seller among Multiple Sellers Who Sell the Same Product",slug:"understanding-the-artificial-intelligence-implementation-for-allocating-an-order-to-a-seller-among-m",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.105560",abstract:"E-commerce sectors are growing rapidly worldwide and it adopts the new technological innovation drastically, such as embracing artificial intelligence in e-commerce sectors. Machine learning adaptation in e-commerce sectors is the most and much news already published by giant e-commerce companies, such as Amazon and eBay. The aim of this paper is to find out how artificial intelligence helps the e-commerce platform to choose a seller from multiple sellers when the same products or listings are sold by multiple sellers. When a customer will place the order, then who will get the order of the customer as multiple sellers sell the item within the same product listings. In the research, it is figured out that machine learning techniques are normally used for the selection of the seller where the prior points used for finding the appropriate seller are feedback or ratings, seller products location or distance from the customer, advertising or PPC or campaign, discounts, etc.",book:{id:"11914",title:"E-service Digital Innovation",coverURL:"https://cdn.intechopen.com/books/images_new/11914.jpg"},signatures:"Md. Imtiaz Ahmed"},{id:"83003",title:"Rheology of Heavy Oils",slug:"rheology-of-heavy-oils",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.105666",abstract:"The problems of heavy oil rheology, accompanied by physical phenomena of the formation and destruction of coagulation disordered structures and aggregates as a result of the hydrodynamic interaction of particles (asphaltenes, paraffins, resins, and solid-phase particles) contained in the oil, which significantly affect its properties and flow, are considered and analyzed. Rheological models of viscous-plastic heavy oils are considered and developed, consistent with a variety of experimental data. New rheological models for viscous-plastic heavy oils are proposed, which make it possible to generalize many existing models. It is noted that the variety of rheological models for heavy oils is determined by the conditions for the formation of disordered structures in the bulk of the oil flow. For heavy oils, a nonlinear equation for filtration in porous media is proposed, depending on the shear stress, pressure gradient, effective viscosity of the oil, and a number of other parameters. An analytical solution to this equation is proposed, which is consistent with the experimental data. Models for the settling rate and drag coefficient of particles in heavy oils are proposed. Applied problems of rheology aimed at improving the rheological properties of heavy oil during their processing as a result of creating a recirculation scheme at an operating oil refining unit are considered.",book:{id:"11542",title:"Crude Oil - Emerging Downstream Processing Technologies",coverURL:"https://cdn.intechopen.com/books/images_new/11542.jpg"},signatures:"Gudret Isfandiyar Kelbaliyev, Dilgam Babir Tagiyev and Manaf Rizvan Manafov"},{id:"82929",title:"Prediction of Solubility and Miscibility Parameters of Bismuth-Arsenic Complex and Amorphous Mineral Compounds Using Molecular Dynamics Simulation",slug:"prediction-of-solubility-and-miscibility-parameters-of-bismuth-arsenic-complex-and-amorphous-mineral",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.106316",abstract:"Bismuth is one of the most difficult impurities to remove in mining concentrates and low concentrations generate problems in silver and copper refineries. Therefore, financial penalties are established when concentrations exceed 0.05%. Some researchers had used arsenic to remove bismuth with results of up to 52% of extraction. Unfortunately, this mechanism is not yet fully understood. The objective of this research was to obtain the solubility parameters of amorphous mineral compounds, including bismuth-based compounds, through computational simulation using molecular dynamics. The composition of the mineral sample was determined by X-ray diffraction and the crystalline species were obtained and modeled using Materials Studio software. The nanostructures were optimized by an energy minimization methodology using the Broyden-Fletcher-Goldfarb-Shanno algorithm and were validated using the figure of merit equation and density. Simulations were performed using the Universal Force Field at constant pressure and temperature. The results of the minerals identified in the sample were compared with arsenic trioxide, indicating miscibility between As2O3 and Bi2O3, possible miscibility with 10 other minerals, and immiscibility with the rest. The results indicate that As2O3 can be successfully used for the removal of Bi2O3 without a negative effect on the recovery of other minerals of higher commercial value.",book:{id:"11467",title:"Bismuth-Based Nanostructured Materials",coverURL:"https://cdn.intechopen.com/books/images_new/11467.jpg"},signatures:"Francisco Adrián De la Torre-Martínez, Efren Delgado, María Dolores Josefina Rodríguez Rosales, Hiram Medrano-Roldán, Javier López-Miranda and Damián Reyes-Jáquez"},{id:"82940",title:"Role of Surface Defects and Optical Band-gap Energy on Photocatalytic Activities of Titanate-based Perovskite Nanomaterial",slug:"role-of-surface-defects-and-optical-band-gap-energy-on-photocatalytic-activities-of-titanate-based-p",totalDownloads:0,totalDimensionsCites:null,doi:"10.5772/intechopen.106253",abstract:"In recent years, water pollution has become one of the major challenges faced by humans because of consistent rise in population and industrial activities. Water pollution due to discharge from cosmetics and pharmaceutical wastes, organic dyes, and heavy metal seen as carcinogens has the potential to disrupt hormonal processes in the body. Different approaches such as chlorination, aerobic treatment, aeration, and filtration have been deployed to treat wastewaters before being discharged into the streams, lakes, and rivers. However, more attention has been accorded to treatment approaches that involve use of nanomaterial due to non-secondary pollution, energy efficiency, and ease of operation. Titanate-based perovskite (TBP) is one of the most frequently studied nanomaterials for photocatalytic applications because of its stability and flexibility in optical band-gap modification. This chapter provided an overview of basic principles and mechanisms of a semiconductor photocatalyst, and current synthesis techniques that have been used in formulating TBP nanomaterial. The effect of reaction conditions and approaches such as doping, codoping, composites, temperature, pH, precursor type, surface area, and morphology on surface defects and optical band-gap energy of TBP nanomaterial was highlighted. Importantly, the impact of surface defects and optical band-gap energy of TBP on its photocatalytic activities was discussed. Finally, how to enhance the degradation efficiency of TBP was proposed.",book:{id:"11469",title:"Recent Advances in Perovskite Materials",coverURL:"https://cdn.intechopen.com/books/images_new/11469.jpg"},signatures:"Izunna Stanislaus Okeke, Priscilla Yahemba Aondona, Amoge Chidinma Ogu, Eugene Echeweozo and Fabian Ifeanyichukwu Ezema"},{id:"82718",title:"Refractories for the Cast Iron Melting",slug:"refractories-for-the-cast-iron-melting",totalDownloads:1,totalDimensionsCites:null,doi:"10.5772/intechopen.105973",abstract:"Refractory is a very important component in economically successful melting of cast iron. Refractory is used to line the furnace or any other vessel used for melting or holding of the molten metal. This chapter has discussed the different type of furnaces used for the melting of cast iron, the special features of those furnaces and the operational parameters of those furnaces with special emphasis on the coreless induction furnace, which is most commonly used. It has dealt with the installation practices of the refractory lining and also has discussed the mode of failure of the refractory lining and the precautions to be taken during installation and during use.",book:{id:"11766",title:"Cast Iron - Production, Properties, Characterization, and Casting Defects Analysis",coverURL:"https://cdn.intechopen.com/books/images_new/11766.jpg"},signatures:"Prasunjit Sengupta"}],onlineFirstChaptersTotal:795},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:139,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:122,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:21,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:2,paginationItems:[{id:"1",title:"Oral Health",coverUrl:"https://cdn.intechopen.com/series_topics/covers/1.jpg",isOpenForSubmission:!0,editor:{id:"173955",title:"Prof.",name:"Sandra",middleName:null,surname:"Marinho",slug:"sandra-marinho",fullName:"Sandra Marinho",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGYMQA4/Profile_Picture_2022-06-01T13:22:41.png",biography:"Dr. Sandra A. Marinho is an Associate Professor and Brazilian researcher at the State University of Paraíba (Universidade Estadual da Paraíba- UEPB), Campus VIII, located in Araruna, state of Paraíba since 2011. She holds a degree in Dentistry from the Federal University of Alfenas (UNIFAL), while her specialization and professional improvement in Stomatology took place at Hospital Heliopolis (São Paulo, SP). Her qualifications are: a specialist in Dental Imaging and Radiology, Master in Dentistry (Periodontics) from the University of São Paulo (FORP-USP, Ribeirão Preto, SP), and Doctor (Ph.D.) in Dentistry (Stomatology Clinic) from Hospital São Lucas of the Pontifical Catholic University of Rio Grande do Sul (HSL-PUCRS, Porto Alegre, RS). She held a postdoctoral internship at the Federal University from Jequitinhonha and Mucuri Valleys (UFVJM, Diamantina, MG). She is currently a member of the Brazilian Society for Dental Research (SBPqO) and the Brazilian Society of Stomatology and Pathology (SOBEP). Dr. Marinho's experience in Dentistry mainly covers the following subjects: oral diagnosis, oral radiology; oral medicine; lesions and oral infections; oral pathology, laser therapy and epidemiological studies.",institutionString:null,institution:{name:"State University of Paraíba",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null},{id:"2",title:"Prosthodontics and Implant Dentistry",coverUrl:"https://cdn.intechopen.com/series_topics/covers/2.jpg",isOpenForSubmission:!0,editor:{id:"179568",title:"Associate Prof.",name:"Wen Lin",middleName:null,surname:"Chai",slug:"wen-lin-chai",fullName:"Wen Lin Chai",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRHGAQA4/Profile_Picture_2022-05-23T14:31:12.png",biography:"Professor Dr. Chai Wen Lin is currently a lecturer at the Department of Restorative Dentistry, Faculty of Dentistry of the University of Malaya. She obtained a Master of Dental Science in 2006 and a Ph.D. in 2011. Her Ph.D. research work on the soft tissue-implant interface at the University of Sheffield has yielded several important publications in the key implant journals. She was awarded an Excellent Exchange Award by the University of Sheffield which gave her the opportunity to work at the famous Faculty of Dentistry of the University of Gothenburg, Sweden, under the tutelage of Prof. Peter Thomsen. In 2016, she was appointed as a visiting scholar at UCLA, USA, with attachment in Hospital Dentistry, and involvement in research work related to zirconia implant. In 2016, her contribution to dentistry was recognized by the Royal College of Surgeon of Edinburgh with her being awarded a Fellowship in Dental Surgery. She has authored numerous papers published both in local and international journals. She was the Editor of the Malaysian Dental Journal for several years. Her main research interests are implant-soft tissue interface, zirconia implant, photofunctionalization, 3D-oral mucosal model and pulpal regeneration.",institutionString:null,institution:{name:"University of Malaya",institutionURL:null,country:{name:"Malaysia"}}},editorTwo:{id:"479686",title:"Dr.",name:"Ghee Seong",middleName:null,surname:"Lim",slug:"ghee-seong-lim",fullName:"Ghee Seong Lim",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003ScjLZQAZ/Profile_Picture_2022-06-08T14:17:06.png",biography:"Assoc. Prof Dr. Lim Ghee Seong graduated with a Bachelor of Dental Surgery from University of Malaya, Kuala Lumpur in 2008. He then pursued his Master in Clinical Dentistry, specializing in Restorative Dentistry at Newcastle University, Newcastle, UK, where he graduated with distinction. He has also been awarded the International Training Fellowship (Restorative Dentistry) from the Royal College of Surgeons. His passion for teaching then led him to join the faculty of dentistry at University Malaya and he has since became a valuable lecturer and clinical specialist in the Department of Restorative Dentistry. He is currently the removable prosthodontic undergraduate year 3 coordinator, head of the undergraduate module on occlusion and a member of the multidisciplinary team for the TMD clinic. He has previous membership in the British Society for Restorative Dentistry, the Malaysian Association of Aesthetic Dentistry and he is currently a lifetime member of the Malaysian Association for Prosthodontics. Currently, he is also the examiner for the Restorative Specialty Membership Examinations, Royal College of Surgeons, England. He has authored and co-authored handful of both local and international journal articles. His main interest is in prosthodontics, dental material, TMD and regenerative dentistry.",institutionString:null,institution:{name:"University of Malaya",institutionURL:null,country:{name:"Malaysia"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:47,paginationItems:[{id:"82938",title:"Trauma from Occlusion: Practical Management Guidelines",doi:"10.5772/intechopen.105960",signatures:"Prashanth Shetty, Shweta Hegde, Shubham Chelkar, Rahul Chaturvedi, Shruti Pochhi, Aakanksha Shrivastava, Dudala Lakshmi, Shreya Mukherjee, Pankaj Bajaj and Shahzada Asif Raza",slug:"trauma-from-occlusion-practical-management-guidelines",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Dental Trauma",coverURL:"https://cdn.intechopen.com/books/images_new/11567.jpg",subseries:{id:"2",title:"Prosthodontics and Implant Dentistry"}}},{id:"82654",title:"Atraumatic Restorative Treatment: More than a Minimally Invasive Approach?",doi:"10.5772/intechopen.105623",signatures:"Manal A. 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Saxena",hash:"d92a4085627bab25ddc7942fbf44cf05",volumeInSeries:2,fullTitle:"Current Perspectives in Human Papillomavirus",editors:[{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Bacterial Infectious Diseases",value:3,count:2},{group:"subseries",caption:"Parasitic Infectious Diseases",value:5,count:4},{group:"subseries",caption:"Viral Infectious Diseases",value:6,count:7}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:2},{group:"publicationYear",caption:"2021",value:2021,count:4},{group:"publicationYear",caption:"2020",value:2020,count:3},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:148,paginationItems:[{id:"165328",title:"Dr.",name:"Vahid",middleName:null,surname:"Asadpour",slug:"vahid-asadpour",fullName:"Vahid Asadpour",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/165328/images/system/165328.jpg",biography:"Vahid Asadpour, MS, Ph.D., is currently with the Department of Research and Evaluation, Kaiser Permanente Southern California. He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"426586",title:"Dr.",name:"Oladunni A.",middleName:null,surname:"Daramola",slug:"oladunni-a.-daramola",fullName:"Oladunni A. 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Novel computational algorithms for image analysis, scene understanding, biometrics, deep learning and their software or hardware implementations for natural and medical images, robotics, VR/AR, applications are some research directions relevant to this topic.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",hasOnlineFirst:!0,hasPublishedBooks:!1,annualVolume:11420,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. 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His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"1177",title:"Prof.",name:"António",middleName:"J. 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