Total monthly average solar irradiance measured on a horizontal plane in Ho Chi Minh City and Da Nang (MJ/m2. day).
\\n\\n
IntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\\n\\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\\n\\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\\n\\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\\n\\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\\n\\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\\n\\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\\n\\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\\n\\nFeel free to share this news on social media and help us mark this memorable moment!
\\n\\n\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/237"}},components:[{type:"htmlEditorComponent",content:'
After years of being acknowledged as the world's leading publisher of Open Access books, today, we are proud to announce we’ve successfully launched a portfolio of Open Science journals covering rapidly expanding areas of interdisciplinary research.
\n\n\n\nIntechOpen was founded by scientists, for scientists, in order to make book publishing accessible around the globe. Over the last two decades, this has driven Open Access (OA) book publishing whilst levelling the playing field for global academics. Through our innovative publishing model and the support of the research community, we have now published over 5,700 Open Access books and are visited online by over three million academics every month. These researchers are increasingly working in broad technology-based subjects, driving multidisciplinary academic endeavours into human health, environment, and technology.
\n\nBy listening to our community, and in order to serve these rapidly growing areas which lie at the core of IntechOpen's expertise, we are launching a portfolio of Open Science journals:
\n\nAll three journals will publish under an Open Access model and embrace Open Science policies to help support the changing needs of academics in these fast-moving research areas. There will be direct links to preprint servers and data repositories, allowing full reproducibility and rapid dissemination of published papers to help accelerate the pace of research. Each journal has renowned Editors in Chief who will work alongside a global Editorial Board, delivering robust single-blind peer review. Supported by our internal editorial teams, this will ensure our authors will receive a quick, user-friendly, and personalised publishing experience.
\n\n"By launching our journals portfolio we are introducing new, dedicated homes for interdisciplinary technology-focused researchers to publish their work, whilst embracing Open Science and creating a unique global home for academics to disseminate their work. We are taking a leap toward Open Science continuing and expanding our fundamental commitment to openly sharing scientific research across the world, making it available for the benefit of all." Dr. Sara Uhac, IntechOpen CEO
\n\n"Our aim is to promote and create better science for a better world by increasing access to information and the latest scientific developments to all scientists, innovators, entrepreneurs and students and give them the opportunity to learn, observe and contribute to knowledge creation. Open Science promotes a swifter path from research to innovation to produce new products and services." Alex Lazinica, IntechOpen founder
\n\nIn conclusion, Natalia Reinic Babic, Head of Journal Publishing and Open Science at IntechOpen adds:
\n\n“On behalf of the journal team I’d like to thank all our Editors in Chief, Editorial Boards, internal supporting teams, and our scientific community for their continuous support in making this portfolio a reality - we couldn’t have done it without you! With your support in place, we are confident these journals will become as impactful and successful as our book publishing program and bring us closer to a more open (science) future.”
\n\nWe invite you to visit the journals homepage and learn more about the journal’s Editorial Boards, scope and vision as all three journals are now open for submissions.
\n\nFeel free to share this news on social media and help us mark this memorable moment!
\n\n\n'}],latestNews:[{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"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"7300",leadTitle:null,fullTitle:"Soil Erosion - Rainfall Erosivity and Risk Assessment",title:"Soil Erosion",subtitle:"Rainfall Erosivity and Risk Assessment",reviewType:"peer-reviewed",abstract:"In the first section of this book on soil erosion, an introduction to the soil erosion problem is presented. In the first part of the second section, rainfall erosivity is estimated on the basis of pluviograph records and cumulative rainfall depths by means of empirical equations and machine learning methods. In the second part of the second section, a physically-based, hydrodynamic, finite element model is described for the computation of surface runoff and channel flows. In the first part of the third section, the soil erosion risk is assessed in two different basins. In the second part of the third section, the soil erosion risk management in a basin is evaluated, and the delimitation of the areas requiring priority planning is achieved.",isbn:"978-1-78985-196-0",printIsbn:"978-1-78985-195-3",pdfIsbn:"978-1-78985-581-4",doi:"10.5772/intechopen.74884",price:119,priceEur:129,priceUsd:155,slug:"soil-erosion-rainfall-erosivity-and-risk-assessment",numberOfPages:134,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"055d0c17144224427913ec894a6aa82a",bookSignature:"Vlassios Hrissanthou and Konstantinos Kaffas",publishedDate:"December 18th 2019",coverURL:"https://cdn.intechopen.com/books/images_new/7300.jpg",numberOfDownloads:5519,numberOfWosCitations:11,numberOfCrossrefCitations:8,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:14,numberOfDimensionsCitationsByBook:1,hasAltmetrics:0,numberOfTotalCitations:33,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 15th 2018",dateEndSecondStepPublish:"March 8th 2018",dateEndThirdStepPublish:"May 7th 2018",dateEndFourthStepPublish:"July 26th 2018",dateEndFifthStepPublish:"September 24th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"37707",title:"Prof.",name:"Vlassios",middleName:null,surname:"Hrissanthou",slug:"vlassios-hrissanthou",fullName:"Vlassios Hrissanthou",profilePictureURL:"https://mts.intechopen.com/storage/users/37707/images/system/37707.png",biography:"Dr.-Ing. Vlassios Hrissanthou is an Emeritus Professor at the Civil Engineering Department of Democritus University of Thrace (DUTH), Xanthi, Greece. He studied Civil Engineering at the Aristotle University of Thessaloniki (AUTH), Greece, obtaining the diploma of Civil Engineer in 1972. He then undertook postgraduate and doctoral studies on Hydrology and Hydraulic Structures at the University of Karlsruhe (KIT), Germany. Subsequently, he completed a postdoctoral study on Hydraulics and Hydraulic Structures at the University of the Armed Forces Munich (UniBw München), Germany. His teaching work includes the following graduate and postgraduate study courses: Fluid Mechanics, Hydraulics, Engineering Hydrology, River Engineering, Hydropower Engineering, Water Resources Management, Open Channel Hydraulics, Hydrology of Groundwater, Advanced Engineering Hydrology, Sediment Transport, Reservoir Design, Time Series Analysis, Selected Chapters of Hydropower Engineering, and Hydraulics of Stratified Flows. He has supervised a plethora of diploma, postgraduate and doctoral dissertations. He has participated as principal investigator in several competitive international, german and greek research projects, dealing amongst others with soil erosion and sediment transport. Professor Hrissanthou is the author and co-author of 48 publications in scientific journals, 88 publications in conference proceedings, as well as 12 publications in book chapters in English, Greek and German. Finally, he has reviewed numerous publications for 49 international scientific journals.",institutionString:"Democritus University of Thrace",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Democritus University of Thrace",institutionURL:null,country:{name:"Greece"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"200942",title:"Dr.",name:"Konstantinos",middleName:null,surname:"Kaffas",slug:"konstantinos-kaffas",fullName:"Konstantinos Kaffas",profilePictureURL:"https://mts.intechopen.com/storage/users/200942/images/system/200942.png",biography:"Dr.-Ing. Konstantinos Kaffas is a researcher at the Civil Engineering Department of Democritus University of Thrace (DUTH), Xanthi, Greece and a member of the Greek Chamber of Civil Engineers since 2008. He received his diploma in Environmental Engineering from DUTH, in 2007. Subsequently he pursued postgraduate studies (M.Sc.) in Hydraulic Engineering and Water Resources Management Works. Since May 2017, he holds a Ph.D. in the field of hydromorphological modeling at the basin scale. His scientific interests and expertise include soil erosion, sediment transport, hydrological and hydraulic modeling, river basin management and flood risk assessment. During the last years, he has co-authored 6 publications in international scientific journals, 3 international conferences and 1 book chapter, and has also reviewed several publications. Dr. Kaffas is giving lectures on courses such as Advanced Engineering Hydrology, Sediment Transport, and Reservoir Design, in DUTH, since 2014. He has working experience in Civil/Environmental Engineering and has participated in the completion of several Environmental Impact Assessments.",institutionString:"Free University of Bozen-Bolzano",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Free University of Bozen-Bolzano",institutionURL:null,country:{name:"Italy"}}},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"676",title:"Soil Degradation",slug:"soil-degradation"}],chapters:[{id:"69684",title:"Introductory Chapter: Soil Erosion at a Glance",doi:"10.5772/intechopen.89773",slug:"introductory-chapter-soil-erosion-at-a-glance",totalDownloads:985,totalCrossrefCites:2,totalDimensionsCites:2,hasAltmetrics:0,abstract:null,signatures:"Konstantinos Kaffas and Vlassios Hrissanthou",downloadPdfUrl:"/chapter/pdf-download/69684",previewPdfUrl:"/chapter/pdf-preview/69684",authors:[{id:"37707",title:"Prof.",name:"Vlassios",surname:"Hrissanthou",slug:"vlassios-hrissanthou",fullName:"Vlassios Hrissanthou"},{id:"200942",title:"Dr.",name:"Konstantinos",surname:"Kaffas",slug:"konstantinos-kaffas",fullName:"Konstantinos Kaffas"}],corrections:null},{id:"66807",title:"Rainfall Erosivity and Its Estimation: Conventional and Machine Learning Methods",doi:"10.5772/intechopen.85937",slug:"rainfall-erosivity-and-its-estimation-conventional-and-machine-learning-methods",totalDownloads:1300,totalCrossrefCites:6,totalDimensionsCites:11,hasAltmetrics:1,abstract:"Rainfall erosivity concerns the ability of rainfall to cause erosion on the surface of the earth. The difficulty in modeling the distribution, the size, and the terminal velocity of raindrops in relation to the detachment of soil particles led to the use of more tractable rainfall indices. Thus, in the universal soil loss equation (USLE), the coefficient of rainfall erosivity, R, was introduced. This coefficient is based on the product of the rainfall kinetic energy of a storm and its maximum 30-minute intensity. An important problem in the application of USLE and its revisions in various parts of the world concerns the computation of R, which requires pluviograph records with a length of at least 20 years. For this reason, empirical equations have been developed that are based on coarser rainfall data, such as daily, monthly, or yearly, which are available on larger spatial and temporal extents. However, the lack of denser data is dealt more effectively by means of machine learning methods. Computational systems for this purpose were recently developed based on feed-forward neural networks, yielding significantly better results.",signatures:"Konstantinos Vantas, Epaminondas Sidiropoulos and Chris Evangelides",downloadPdfUrl:"/chapter/pdf-download/66807",previewPdfUrl:"/chapter/pdf-preview/66807",authors:[{id:"23439",title:"Dr.",name:"Epaminondas",surname:"Sidiropoulos",slug:"epaminondas-sidiropoulos",fullName:"Epaminondas Sidiropoulos"},{id:"287846",title:"Dr.",name:"Konstantinos",surname:"Vantas",slug:"konstantinos-vantas",fullName:"Konstantinos Vantas"},{id:"287847",title:"Dr.",name:"Chris",surname:"Evangelides",slug:"chris-evangelides",fullName:"Chris Evangelides"}],corrections:null},{id:"62965",title:"Simulation of Surface Runoff and Channel Flows Using a 2D Numerical Model",doi:"10.5772/intechopen.80214",slug:"simulation-of-surface-runoff-and-channel-flows-using-a-2d-numerical-model",totalDownloads:1379,totalCrossrefCites:0,totalDimensionsCites:1,hasAltmetrics:0,abstract:"Numerical simulation of surface runoff is used to understand and predict watershed sediment transport and water quality and improve management of agricultural watersheds. However, models currently available are either simplified or parameterized for efficiency. In this chapter, CCHE2D, a physically based hydrodynamic model for general free surface flow hydrodynamics, was applied to study watershed surface runoff and channel flows. Multiple analytical solutions and experimental data were used to verify and validate this finite element model systematically with good results. A numerical scheme for correcting the bilinear interpolation of the water surface elevation solutions from the cell centers to the computational nodes was developed to improve the model. The correction was found necessary and effective for the sheet runoff simulations over the irregular bed topography. The modified numerical model was then used to simulate storms in a low-relief agricultural watershed in the Mississippi River alluvial plain. This physically based model identified the channel networks, watershed boundary automatically, and helped to develop rating curves at the gage station of this complex watershed. The numerical simulations resolved detailed runoff and turbulent channel flows, which can be used for soil erosion and gully development analyses.",signatures:"Yafei Jia, Tahmina Shirmeen, Martin A. Locke, Richard E. Lizotte Jr. and F. Douglas Shields Jr.",downloadPdfUrl:"/chapter/pdf-download/62965",previewPdfUrl:"/chapter/pdf-preview/62965",authors:[{id:"26297",title:"Dr.",name:"Yafei",surname:"Jia",slug:"yafei-jia",fullName:"Yafei Jia"}],corrections:null},{id:"69110",title:"Evaluating Differences of Erosion Patterns in Natural and Anthropogenic Basins through Scenario Testing: A Case Study of the Claise, France and Nahr Ibrahim, Lebanon",doi:"10.5772/intechopen.89088",slug:"evaluating-differences-of-erosion-patterns-in-natural-and-anthropogenic-basins-through-scenario-test",totalDownloads:976,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This study assessed soil erosion risks of two basins representing different geographical, topographical, climatological and land occupation/management settings. A comparison and an evaluation of site-specific factors influencing erosion in the French Claise and the Lebanese Nahr Ibrahim basins were performed. The Claise corresponds to a natural park with a flat area and an oceanic climate, and is characterized by the presence of 2179 waterbodies (mostly ponds) considered as hydro-sedimentary alternating structures, while Nahr Ibrahim represents an orographic Mediterranean basin characterized by a random unequal land occupation distribution. The Claise was found to be under 12.48% no erosion (attributed to the dense pond network), 65.66% low, 21.68% moderate and 0.18% high erosion risks; while Nahr Ibrahim was found to be under 4, 39.5 and 56.4%, low, moderate and high erosion risks, along with 66% land degradation determined from the intersection of land capability and land occupation maps. Under the alternative scenario for the Claise where ponds were considered dried, erosion risks became 1.12, 0.52, 76.8 and 21.56%, no erosion, low, moderate and high risks, respectively. For Nahr Ibrahim, and following the Land Degradation Neutrality intervention, high erosion risks decreased by 13.9%, while low and moderate risks increased by 3 and 10.8%.",signatures:"Mario J. Al Sayah, Rachid Nedjai, Chadi Abdallah, Michel Khouri, Talal Darwish and François Pinet",downloadPdfUrl:"/chapter/pdf-download/69110",previewPdfUrl:"/chapter/pdf-preview/69110",authors:[{id:"308327",title:"Prof.",name:"Rachid",surname:"Nedjai",slug:"rachid-nedjai",fullName:"Rachid Nedjai"},{id:"308884",title:"Mr.",name:"Mario",surname:"Al Sayah",slug:"mario-al-sayah",fullName:"Mario Al Sayah"},{id:"308885",title:"Prof.",name:"Chadi",surname:"Abdallah",slug:"chadi-abdallah",fullName:"Chadi Abdallah"},{id:"308887",title:"Dr.",name:"Michel",surname:"Khouri",slug:"michel-khouri",fullName:"Michel Khouri"},{id:"308888",title:"Prof.",name:"Talal",surname:"Darwish",slug:"talal-darwish",fullName:"Talal Darwish"},{id:"308889",title:"Mr.",name:"François",surname:"Pinet",slug:"francois-pinet",fullName:"François Pinet"}],corrections:null},{id:"69983",title:"Spatial Analysis of the Erosive Hazard of Soils and Natural Risks of Reservoir Siltation",doi:"10.5772/intechopen.89748",slug:"spatial-analysis-of-the-erosive-hazard-of-soils-and-natural-risks-of-reservoir-siltation",totalDownloads:879,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"The initial state of several watersheds, in West Africa, is characterized by a socio-ecological vulnerability linked to the water erosion risks. Thus, the Oued Beht watershed (430,728 ha), which is located in Morocco, reveals the extent of impact of soil erosion and water quality degradations. Especially, the consequences of soil loss alter its hydrological behavior in terms of efficiency to produce good water quality and include damages to the functional activities (agricultural and forestry) and structural challenges (lands and dams). This study suggests a methodology, reproducible and generalizable, to assess the water erosion risks. The results show that the erosion process is characterized by the combination of several types of erosion including sheet, rill, and gully. Therefore, the soil erosion is active and visible on more than 3/4 of the Oued Beht watershed, and the spatial analysis evaluates the soil loss which generates a decrease in the storage capacity of El Kansra dam (−3.03 million m3/year). The erosion risk management is evaluated by combining susceptibility maps with an analysis of potential consequences. Moreover, the interactive mode obtained from this work is based on a statistical autocorrelation approach concerning risk factors in order to delimit the areas requiring priority planning (hot spots).",signatures:"Rabii El Gaatib and Abdelkader Larabi",downloadPdfUrl:"/chapter/pdf-download/69983",previewPdfUrl:"/chapter/pdf-preview/69983",authors:[{id:"249619",title:"Dr.",name:"Rabii",surname:"El Gaatib",slug:"rabii-el-gaatib",fullName:"Rabii El Gaatib"}],corrections:[{id:"70783",title:"Corrigendum to: Spatial Analysis of the Erosive Hazard of Soils and Natural Risks of Reservoir Siltation",doi:null,slug:"corrigendum-to-spatial-analysis-of-the-erosive-hazard-of-soils-and-natural-risks-of-reservoir-siltat",totalDownloads:null,totalCrossrefCites:null,correctionPdfUrl:null}]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"4687",title:"Effects of Sediment Transport on Hydraulic Structures",subtitle:null,isOpenForSubmission:!1,hash:"c98566272eada12d6eaddf8e47e3b171",slug:"effects-of-sediment-transport-on-hydraulic-structures",bookSignature:"Vlassios Hrissanthou",coverURL:"https://cdn.intechopen.com/books/images_new/4687.jpg",editedByType:"Edited by",editors:[{id:"37707",title:"Prof.",name:"Vlassios",surname:"Hrissanthou",slug:"vlassios-hrissanthou",fullName:"Vlassios Hrissanthou"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3854",title:"Environmental Risk Assessment of Soil Contamination",subtitle:null,isOpenForSubmission:!1,hash:"88e43f7e0affb0c1ba3eccf8675e10f2",slug:"environmental-risk-assessment-of-soil-contamination",bookSignature:"Maria C. 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With the development of computers, simulation programs are increasingly developed and become useful and indispensable tools for researchers and designers. It helps users to optimize design and system parameters without having to spend money to build experimental models and waste time to conduct experiments. Prophylactic programs in the field of solar water distillation are no exception. To run solar water distillation simulations, users need to provide weather data such as solar irradiance and ambient temperature measured in days, hours or smaller time periods. According to the requirements of the software. However, hourly weather data is not always available, especially in developing countries because measuring hourly weather data requires equipment, time and money. According to Duffie and Beckman [1], these weather data must be collected for at least 8 years to get the average value to remove the anomalies of the weather such as El Nino, La Nina phenomena, etc.
Another solution is to use typical meteorological year (TMY) data. In fact, the concept of TMY is derived from long-term weather data, which is determined in the correlation and statistical distribution to determine the characteristic indexes to produce the average value [2]. These data are then extracted from the selection criteria to produce month-by-month data from 23 years’ data. TMY data were established for 26 Canadian sites, and were applied to the concept of a similar test reference year (TRY) for Europe [2]. While this approach reduces computational effort and the data base required to run simulations, the metric is also based on long-term data, something not available in most places in the world, especially in developing countries.
As pointed out by Nguyen and Hoang [3], the shortage of weather data, especially solar radiation data is very serious in developing countries. For example, in Vietnam, out of a total of 171 hydro-meteorological stations, only 12 have total solar radiation data, of which only 9 have continuous measurements. The remaining meteorological stations only record the number of hours of sunshine. Furthermore, radiation metrics are manually measured by humans every 3 hours instead of hourly. Therefore, hourly radiation data at hydro-meteorological stations in this country are not reliable enough to be used for simulation programs using solar energy systems.
There are two ways to solve the problem of lack of measurement data at the survey site: (i) using extrapolation to process data from hydrometeorological sites adjacent to similar climate features, and (ii) use aggregate generation to generate a series of weather data from the data requiring at least monthly averages. However, the first method can lead to large errors, moreover, very few developing countries have such data available [2]. Therefore, the following method has been studied and developed by many researchers.
Many researchers have proposed mathematical models to calculate the complete series of weather data. Fernandez-Peruchena et al. [4] and Boland [2] used numerical methods to probabilistically simulate daily and hourly solar irradiance data series. Brecl and Topic [5] used a similar approach to generate daily and hourly solar irradiance data from average daily irradiance values. Bright et al. [6] and Hofmann et al. [7] also apply statistical probabilistic techniques to generate a series of solar irradiance values per minute or every 5 minutes from hourly solar irradiance data. Soubdhan and Emilion [8] even used a random method to generate a sequence of solar radiation in seconds. Magnano et al. [9] applied the same technique to generate a synthetic sequence of half an hour’s temperature. A common feature of the aforementioned studies is the use of a probability distribution function (PDF) of the data to normalize random variables to bring them to a Gaussian distribution [10]. Gafurov et al. [11] another approach was to incorporate the spatial correlation of solar irradiance (SCSR) into random solar irradiance data generation models to generate monthly solar irradiance time series and daily.
Recently, several researchers have used different types of artificial neural networks (ANNs) to model the values of total solar irradiance on horizontal surfaces, such as [12, 13, 14, 15, 16]. Wu and Chan [17] used a new combined model of ARMA (Automatic Recovery and Moving Average) and TDNN (Time Delayed Neural Network) to predict hourly solar irradiance in Singapore. However, Mora-Lopez [10] pointed out that the limitation of these methods is that they are “black boxes” for outputting and analyzing averages of daily global irradiance, resulting in no important information can be obtained from these methods. Mora-Lopez et al. [18] proposed to use machine learning theory with a combination of probability finite automata (PFA) to calculate the values of total daily solar irradiance. The limitation of this method is that the use of PFA is complex and the method has not been shown to be universally applicable.
The results of the above review and analysis show that the stochastic methods are still globally applicable, simple and require minimal input data. Therefore, in this study, randomization technique was chosen to generate series of weather data, including solar irradiance and daily and hourly ambient temperature from monthly averages. These are important weather metrics for running the numerical simulations of solar distillation systems. First, a stochastic model is used to generate a composite of daily irradiance from monthly average daily solar irradiance values. The generated daily radiation sequences are then used to generate the hourly solar radiation sequences. Similarly, a model for generating hourly temperature series from monthly mean temperature values is also presented.
When analyzing data of 300 months of solar radiation taken from 9 hydro-meteorological stations with different weather characteristics, Aguiar et al. [19] discovered the analyzed solar irradiance values in For any time period, there is a probability distribution function that seems to be related to the monthly mean clearness index,
To calculate the KT values from the monthly mean
The calculation expressions given by Graham are based on results that are built from the data of the United States, so certainly not suitable for tropical climates [22]. This was confirmed by the Nguyen and Pryor [21] in their study, and even in high KT regions, the above expressions do not fit the curve due to Liu and Jordan [21].
The above disadvantage of Graham’s method can be overcome by adding the expressions for tropical climates developed by Aguiar group [19], but the use of this expression has not been fully verified by scientists and will create a complex, climate-dependent computational model.
The locations where the Aguiar group used the measured data to build the MTM matrices include many characteristic climate zones, in these locations there is one location with a central tropical rainforest (Caw) climate, which is Macao. and one location with a rainforest climate (Aw) is Polana, Mozambique. The use of this method would therefore be suitable for the study’s objective of tropical climates, where most developing countries are often located.
Solar irradiance data were measured in 2 cities representing 2 tropical climates to evaluate the accuracy of daily solar radiation data generated from the calculated model selected in this study. They are Ho Chi Minh City representing the tropical forest climate (Aw) and Da Nang representing the tropical monsoon climate (Am). Pyranometers were used to measure total irradiance on a horizontal plane in the two cities every 5 minutes, measuring continuously from 5:30 a.m. to 6:30 p.m. Since these two cities have low latitudes (100N and 160N respectively), the day length does not change much during the year, so there is no need to extend the seasonal solar irradiance measurement period of the year [3]. Then, solar irradiance by hour, by day and by day of month average is calculated from the measured data. Table 1 presents the average daily solar irradiance of the two cities mentioned above, used to run the program to generate date and time irradiance data in this study.
Jan. | Feb. | Mar. | Apr. | May | Jun. | Jul. | Aug. | Sep. | Oct. | Nov. | Dec. | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
HCM | 13.0 | 18.0 | 18.1 | 18.7 | 16,7 | 17,4 | 17.3 | 17.6 | 15.9 | 15.0 | 14.7 | 13.9 |
Danang | 10.3 | 18.8 | 18.6 | 22.1 | 22.9 | 23.9 | 20.3 | 18.7 | 17.2 | 14.8 | 11.9 | 8.4 |
Total monthly average solar irradiance measured on a horizontal plane in Ho Chi Minh City and Da Nang (MJ/m2. day).
From the series of daily radiation values of 365 days of the year, the series of 365 values of the daily clearness index is calculated according to the following Eq. (1):
where H is the total daily solar radiation measured on a horizontal plane and H0 is the daily radiation outside the atmosphere, calculated by the equation:
with Gsc, n, ϕ, δ and ωs respectively are solar constance, day of the year, latitude of the investigated location, declination angle and sunset hour angle, defined in [1].
From the values of daily clearness index KT, the monthly average daily values of clearness index
where the monthly average daily irradiance values
Jan. | Feb. | Mar. | Apr. | May | Jun. | Jul. | Aug. | Sep. | Oct. | Nov. | Dec. | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
HCM | 0.42 | 0.53 | 0.50 | 0.50 | 0.45 | 0.47 | 0.47 | 0.47 | 0.44 | 0.42 | 0.47 | 0.46 |
Danang | 0.36 | 0.59 | 0.53 | 0.59 | 0.60 | 0.63 | 0.53 | 0.50 | 0.48 | 0.45 | 0.40 | 0.30 |
Monthly average daily values of clearness index in Ho Chi Minh City and Da Nang.
Figure 1 presents the procedure for calculating the series of daily clearness index from the monthly average daily values.
The procedure for calculating the series of KT from
After 365 values of the daily photometric index are calculated for each location, these value series are compared with the measurement series through statistical functions such as cumulative distribution function (CDF), density function, etc. probability (PDF). Figures 2 and 3 present the cumulative distribution function of CDF of the calculated and measured KT in Ho Chi Minh City and Da Nang while Figures 4 and 5 represent the probability density function PDF for these two cities. Statistical parameters including mean, median, minimum, maximum, standard deviation, mean absolute error (MAE) and mean square error (RMSE) were also compared between the KT series. Calculated and measured, as shown in Tables 3 and 4.
Cumulative distribution function of KT for Ho Chi Minh City.
Cumulative distribution function of KT for Da Nang.
Probability density function of KT for Ho Chi Minh City.
Probability density function of KT for Da Nang.
Mean | Median | Min | Max | Std. dev. | MAE (%) | RMSE (%) | |
---|---|---|---|---|---|---|---|
KTmea | 0.47 | 0.47 | 0.14 | 0.69 | 0.10 | ||
KTgen. | 0.46 | 0.49 | 0.05 | 0.78 | 0.18 | ||
Error (%) | 1 | −4 | 16.8 | 8.1 |
Statistic parameters of KT series of Ho Chi Minh City.
Mean | Median | Min | Max | Std. dev. | MAE (%) | RMSE (%) | |
---|---|---|---|---|---|---|---|
KTmea | 0.50 | 0.56 | 0.01 | 0.75 | 0.18 | ||
KTgen. | 0.47 | 0.49 | 0.05 | 0.80 | 0.20 | ||
Error (%) | 6 | 14 | 4.5 | 5.1 |
Statistic parameters of KT series of Da Nang.
The results shown in Figures 2–5 show that the Aguiar model produced a KT daily value series with an acceptable level of accuracy compared with the measured series. Similarly, the statistical parameters in Tables 3 and 4 also show that the statistical error between the calculated and measured series is relatively small. Specifically, the mean and median error percentages of generated chains are 1% and − 4% for Ho Chi Minh City and 6% and 14% for Da Nang, respectively. Therefore, this model is expected to be able to be used to generate a series of daily cloud optical coefficients for any location because the Aguiar model has been proven to be universally applicable in the world [2, 4, 5, 19, 22]. As shown above, this model only requires input of 12 average daily solar irradiance values at the location to be calculated.
There are many studies in the world on establishing mathematical models to generate daily and hourly radiation data series [2, 4, 5]. Basically, these studies are based on the approach of Aguiar [19] and Graham [20].
With the assumption that the sky clarity index kt depends only on the cloudiness coefficient of the KT day, Graham et al. [20] analyzed kt into two components: an average (or trend) component and a random component.
The formula for calculating the trend component or the regular component:
where m is the air mass, the value calculated at the time of the middle of the hour. The parameters λ, ρ and κ are the identity function of KT:
The standard deviation σα of the variable α is expressed as:
Then use the Gaussian normalization technique to transform this variable α into a Gaussian variable β with the relation between α and β as follows:
Then apply ARMA models to the data series β and determine that β follows the model as AR(1):
where:
βt-1 is the value of the variable at t-1.
Φ is the automatic regression coefficient.
As in the case of using date values, the coefficient Φ varies slightly by locality but the value 0.54 can be chosen as the value to use in the model for all localities.
Aguiar’s method [23] to generate kT is similar to Graham’s method but has some differences as follows:
First, the standard deviation σα depends not only on KT but also on the altitude angle of the sun hs:
with:
Second, the coefficient Φ depends on KT according to the following expression:
Third, the calculated kt values are limited by the clear sky clearness index kcs.
With t is the hour considered.
Aguiar’s model has been successfully applied to generate hourly solar irradiance in Spain and Slovenia [4, 5], while Graham’s approach to generate hourly solar irradiance sequences at different locations has been successfully applied for locations in the United States in particular and many parts of the world in general [24]. On the other hand, Aguiar and Graham’s models were used in generating and comparing hourly solar irradiance for 6 locations in Australia and the results showed that Graham’s model produces a global solar irradiance sequence which better fit for all six sites [21]. Therefore, Graham’s model was chosen to generate hourly solar radiation in this study.
However, Graham’s model also has some disadvantages as follows:
The use of Gaussian mapping technique to process the random component of kt values is very complicated and time consuming.
The error of the hourly series of transparency index generated from Graham’s model in comparision to the measured series is larger than the error from the model sugeeted in this study.
To solve the complicated and time consuming problem of the Graham model, the β values given in Eq. (10) are transformed to a non-standard distribution h by using Norminv function in MATLAB. The random components of the kt value are then calculated by:
with σα (KT) is the standard deviation computed by using Eq. (9).
This suggested model are not only much simpler than Graham’s method, but also produces more accurate results. Table 5 demonstrates the hourly solar irradiance sequence error generated by Graham’s model and this study’s modified model compared with the measured solar irradiance sequence for Ho Chi Minh City over 20 times run a program written in MATLAB.
Generating program runtime | Errors of the generated versus measured hourly solar radiation values (%) | |
---|---|---|
Graham’s model | Modified model of this study | |
1 | 2.87% | 0.74% |
2 | 5.31% | 2.70% |
3 | 5.75% | 2.49% |
4 | 3.81% | 1.46% |
5 | 11.15% | 9.47% |
6 | 5.04% | 2.84% |
7 | 4.22% | 2.06% |
8 | 5.19% | 3.60% |
9 | 4.12% | 2.27% |
10 | 4.70% | 2.18% |
11 | 6.40% | 4.40% |
12 | 7.33% | 5.29% |
13 | 6.32% | 4.22% |
14 | 5.07% | 2.60% |
15 | 5.03% | 2.78% |
16 | 7.52% | 4.67% |
17 | 4.88% | 2.52% |
18 | 3.24% | 1.48% |
19 | 8.15% | 6.44% |
20 | 8.68% | 5.36% |
Errors of the generated versus measured hourly solar radiation values in Ho Chi Minh City.
Figure 6 shows the process of creating a series of hourly clearness index series. This procedure is modified from the Graham model, as analyzed above. In this Figure:
Flow chart for generating hourly kt series from daily optical clearness index series KT.
ϕ is the investigated location’s latitude
Lst and Lloc are respectively the longitude of the standard meridians and the considered location.
j is the month of the year.
i is the day of a month
ωs is the angle of sunset for the calculated day
KT [i][j] is the daily clearness index of the ith day in the jth month
ω is the calculated hour angle.
ktm is the “long-term” average value of kt
σkt is the standard deviation of kt toward the values of the “long-term” average value
εt is a Gaussian distribution’ s random number
hr. is the investigated hour.
χ is a Gaussian distribution’ s random variable with “0″ mean and “1″ variance.
θ1 is the parameter of the AR1 model.
Fnormal is a function to convert a Gaussian variable into a non-normally distributed variable
MATLAB is used to write generation program for hourly kt series.
The daily generated transparency index values were used as input to the hourly kt series generation program. The calculated kt values are then compared with ktmea values, where ktmea is the measured hourly clearness index values given by:
where I is the horizontal total solar irradiance measured from ω1 to ω2 in Ho Chi Minh City and Da Nang; I0 is the solar radiation outside the atmosphere from hour angle ω1 to ω2, given by [1]:
The cumulative distribution function (CDF) graphs of kt over the hours for Ho Chi Minh City and Da Nang are shown in Figures 7 and 8 respectively while the probability density function (PDF) of kt over the hour for these cities are shown in Figures 9 and 10. Additionally, several statistical parameters, including mean, median, minimum, maximum, standard deviation, mean absolute error (MAE) and mean square error (RMSE) of the measured and generated kt series in Ho Chi Minh City and Da Nang are also shown in Tables 6 and 7, respectively.
Cumulative distribution function (CDF) of hourly kt for Ho Chi Minh City.
Cumulative distribution function (CDF) of hourly kt for Da Nang.
Probability density function (PDF) of hourly kt for Ho Chi Minh City.
Probability density function (PDF) of hourly kt for Da Nang.
Mean | Median | Min | Max | Std. dev. | MAE (%) | RMSE (%) | |
---|---|---|---|---|---|---|---|
ktmea | 0.426 | 0.443 | 0.001 | 0.899 | 0.197 | ||
ktgen. | 0.433 | 0.453 | 0.007 | 0.858 | 0.191 | ||
Error (%) | −1.5 | −2.4 | 2.0 | 0.03 |
Statistical parameters of the kt series of Ho Chi Minh City.
Mean | Median | Min | Max | Std. dev. | MAE (%) | RMSE (%) | |
---|---|---|---|---|---|---|---|
ktmea | 0.459 | 0.491 | 0.019 | 0.905 | 0.210 | ||
ktgen. | 0.465 | 0.492 | 0.012 | 0.884 | 0.217 | ||
Error (%) | −1.3 | −0.3 | 3.3 | 0.03 |
Statistical parameters of the kt series of Da Nang.
As presented in Figures 7–10 and Tables 6 and 7, the hourly kt series for the two investigated cities have been successfully generated by the suggested model with very high accuracy. The mean and median error percentages of generated sequences were − 1.5% and − 2.4% for Ho Chi Minh City and − 1.3% and 0.3% for Da Nang, respectively. Since stochastic models have been approved to have universal characteristics, as mentioned above, the model in this study is expected to be applicable to any location in the world.
The procedure to generate hourly ambient temperature sequences from monthly mean ambient temperature,
First, to generate the deterministic component of the hourly ambient temperatures series, the concept of the average normalized diurnal temperature variation, developed by Erbs et al. [26], is applied. Hourly measured ambient temperature data from two locations (Ho Chi Minh city and Da Nang) are used to calculate the hourly monthly-average ambient temperature,
The average of these 24 (ie., 12 curves * 2 locations) standardized curves are calculated. Interestingly, the equation originally derived by Erbs and his colleagues is found to fit the average standardized curve in this study. The equation is expressed:
t* is given by: t*=
The relation between the amplitude A and the monthly mean clearness index,
After the trend components are removed from the ambient temperature values, the variable component of the data is converted into a normal distribution and then tested with many ARMA models. The AR2 model is finally selected:
here,
The generated χ is transformed to an hourly temperature by equating the cumulative function of χ, Fnormal, and hourly ambient temperature, Ftemp. Fnormal is given by:
whereas Ftemp is calculated as follows:
with:
in which Nm is the number of hours in the months and σm is the standard deviation of the monthly-average daily temperature
σyr is the standard deviation of the yearly average ambient temperature.
Solving these equations, hourly ambient tempaerature is given by:
Figure 11 shows the schematic diagram of the procedure to generate hourly ambient temperature sequences.
Schematic diagram of the procedure to generate hourly ambient temperature sequences.
In this figure:
Lst and Lloc are the standard meridian for the local time zone and the longitude of the location considered, respectively.
Ta [j] and K[j] are the monthly mean ambient temperature and monthly mean daily radiation of jth month, respectively.
Ta,yr is the year average ambient temperature, calculated from the 12 monthly values.
A[j] is the amplitude of the diurnal variation (peak to peak) of ambient temperature, and is a function of monthly average daily clearness index.
Ta,h [avhr] is the hourly monthly-average ambient temperature; the subscript “avhr” indicates the calculated monthly-average hour (avhr = 1 to 24).
hr is the hour considered.
Nmax is the number of hours in the respective month
χ is the normally distributed stochastic variable with a mean of 0 & a variable of 1.
Fnormal is the cumulative distribution of a normally distributed variable.
Figure 12 shows the cumulative distribution of hourly ambient temperature sequences for Ho Chi Minh City. The figure compares the results using measured data and arificial data generated from the equations described in this section. As shown, the model presented here produced accurate hourly ambient temperature in comparision with measured data.
Cumulative distribution function (CDF) of hourly ambient temperature for Ho Chi Minh City.
The main objective of this study is to build a model to generate weather data, including daily and hourly solar radiation sequences and ambient temperature series; then these weather data chains must be used to run simulation programs. Therefore, the generated weather data is used as input for SOLSTILL – a simulation program for solar distillation systems [27]. This simulation program was designed to enable to simulate both passive solar stills and active solar distillation systems. Figure 13 presents the heat and mass diagrams in a passive solar still whereas Figures 14 and 15 respectively shows the schematic diagram and heat and mass transfer process in a forced circulation solar still.
The heat and mass transfer processes in a conventional solar still.
Schematic diagram of a forced circulation solar still with enhanced water recovery.
The heat and mass transfer process in a forced circulation solar still.
The inputs for SOLSTILL can be in form of hourly weather data if the measured hourly solar radiation and ambient temperature are available. If not, the weather data generation function in SOLSTILL can be called to generate weather sequences with input as monthly average daily solar radation and ambient temperature values of 12 months [27]. Both modes of weather data in SOLSTILL (i.e., input hourly weather data and generation mode) are used in this study. For Mode 1, hourly measured weather values, achieved from National Center for Hydro-Meteorogical Forecasting [28], are input the program. For Mode 2, the weather data generation function in SOLSTILL does its job. The outputs of SOLSTILL consist of hourly amounts of distillate water, hourly temperatures of the cover, basin water and the basin, etc. In this study, only hourly amounts of distillate water are considered. Then, daily and monthly average daily amounts of distillate water are achieved. Figures 16 and 17 show the monthly average daily distilled water of a conventional solar still for Ho Chi Minh City and Da Nang whereas Figures 18 and 19 show those of a forced circulation solar still with enhanced water recovery, respectively.
Monthly average daily distillate productivity of a conventional solar still in Ho Chi Minh City.
Monthly average daily distillate productivity of a conventional solar still in Da Nang.
Monthly average daily distillate productivity of a forced circulation solar still in Ho Chi Minh City.
Monthly average daily distillate productivity of a forced circulation solar still in Da Nang.
As shown in Figures 16–19, the errors of the predicted monthly average daily distillate productivity of both a conventional passive solar still and a forced circulation solar still with measured and generated weather series as input data are very small. The largest error is 9.3%, occurred in April in Ho Chi Minh City for a conventional solar still. The errors of predicted yearly average daily distillate productivities are less than 5%. Therefore, it can be expected that the weather data generated from the proposed models can be used to run any simulation programs for solar distillation systems.
In this study, to generate daily clearness index sequences for Ho Chi Minh City and Da Nang, two cities presenting for two climate types in tropical region, Aguiar’s model was chosen. Then a modified model of Graham was proposed to generate hourly clearness index sequences from generate daily clearness index series for these two locations. After that, a model to generate hourly ambient temperature sequences from monthly average daily ambient temperatures was presented. Having been proved by some statistic configurations and the predicted distillate productivities of solar still simulations, the models in this study are accurate in predicting daily and hourly irradiances and ambient temperature sequences. Especially, the model proposed in this study to generate the hourly solar radiation values is much simpler compared with Graham model. Therefore, both solar radiation and ambient temperature generating models in this work are believed to be used to calculate daily and hourly weather data for any numerical simulation programs of solar distillation systems with very limited input parameters, including the latitude, monthly average daily clearness index and ambient temperature values of the investigated locations.
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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:null},{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. 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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. 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She is also Invisalign certified. She’s working as a Senior Lecturer in the Department of Orthodontics, SRM Dental College since November 2019. She is actively involved in teaching orthodontics to the undergraduates and the postgraduates. Her clinical research topics include new orthodontic brackets, fixed appliances and TADs. She’s published 4 articles in well renowned indexed journals and has a published patency of her own. Her private practice is currently limited to orthodontics and works as a consultant in various clinics.",institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"323731",title:"Prof.",name:"Deepak M.",middleName:"Macchindra",surname:"Vikhe",slug:"deepak-m.-vikhe",fullName:"Deepak M. Vikhe",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/323731/images/13613_n.jpg",biography:"Dr Deepak M.Vikhe .\n\n\t\n\tDr Deepak M.Vikhe , completed his Masters & PhD in Prosthodontics from Rural Dental College, Loni securing third rank in the Pravara Institute of Medical Sciences Deemed University. He was awarded Dr.G.C.DAS Memorial Award for Research on Implants at 39th IPS conference Dubai (U A E).He has two patents under his name. He has received Dr.Saraswati medal award for best research for implant study in 2017.He has received Fully funded scholarship to Spain ,university of Santiago de Compostela. He has completed fellowship in Implantlogy from Noble Biocare. \nHe has attended various conferences and CDE programmes and has national publications to his credit. His field of interest is in Implant supported prosthesis. Presently he is working as a associate professor in the Dept of Prosthodontics, Rural Dental College, Loni and maintains a successful private practice specialising in Implantology at Rahata.\n\nEmail: drdeepak_mvikhe@yahoo.com..................",institutionString:null,institution:{name:"Pravara Institute of Medical Sciences",country:{name:"India"}}},{id:"204110",title:"Dr.",name:"Ahmed A.",middleName:null,surname:"Madfa",slug:"ahmed-a.-madfa",fullName:"Ahmed A. Madfa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204110/images/system/204110.jpg",biography:"Dr. Madfa is currently Associate Professor of Endodontics at Thamar University and a visiting lecturer at Sana'a University and University of Sciences and Technology. He has more than 6 years of experience in teaching. 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She is an editor and reviewer in numerous international journals.",institutionString:"MSA University",institution:null},{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. Dr. Al Ostwani is an assistant professor and faculty member at IUST University since 2014. \nDuring his academic experience, he has received several awards including the scientific research award from the Union of Arab Universities, the Syrian gold medal and the international gold medal for invention and creativity. Dr. Al Ostwani is a Member of the International Association of Dental Traumatology and the Syrian Society for Research and Preventive Dentistry since 2017. He is also a Member of the Reviewer Board of International Journal of Dental Medicine (IJDM), and the Indian Journal of Conservative and Endodontics since 2016.",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",country:{name:"India"}}},{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. After graduating from TED Ankara College in 1994, she attended to Gazi University, Faculty of Dentistry in Ankara. She completed her PhD in orthodontic education at Gazi University between 1999-2005. Dr. Işık Aslan stayed at the Providence Hospital Craniofacial Institude and Reconstructive Surgery in Michigan, USA for three months as an observer. She worked as a specialist doctor at Gazi University, Dentistry Faculty, Department of Orthodontics between 2005-2014. She was appointed as associate professor in January, 2014 and as professor in 2021. Dr. Işık Aslan still works as an instructor at the same faculty. She has published a total of 35 articles, 10 book chapters, 39 conference proceedings both internationally and nationally. Also she was the academic editor of the international book 'Current Advances in Orthodontics'. She is a member of the Turkish Orthodontic Society and Turkish Cleft Lip and Palate Society. She is married and has 2 children. Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null},{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"192229",title:"Ph.D.",name:"Ana Luiza",middleName:null,surname:"De Carvalho Felippini",slug:"ana-luiza-de-carvalho-felippini",fullName:"Ana Luiza De Carvalho Felippini",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192229/images/system/192229.jpg",biography:null,institutionString:"University of São Paulo",institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"256851",title:"Prof.",name:"Ayşe",middleName:null,surname:"Gülşen",slug:"ayse-gulsen",fullName:"Ayşe Gülşen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256851/images/9696_n.jpg",biography:"Dr. Ayşe Gülşen graduated in 1990 from Faculty of Dentistry, University of Ankara and did a postgraduate program at University of Gazi. \nShe worked as an observer and research assistant in Craniofacial Surgery Departments in New York, Providence Hospital in Michigan and Chang Gung Memorial Hospital in Taiwan. \nShe works as Craniofacial Orthodontist in Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi, Ankara Turkey since 2004.",institutionString:"Univeristy of Gazi",institution:null},{id:"255366",title:"Prof.",name:"Tosun",middleName:null,surname:"Tosun",slug:"tosun-tosun",fullName:"Tosun Tosun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255366/images/7347_n.jpg",biography:"Graduated at the Faculty of Dentistry, University of Istanbul, Turkey in 1989;\nVisitor Assistant at the University of Padua, Italy and Branemark Osseointegration Center of Treviso, Italy between 1993-94;\nPhD thesis on oral implantology in University of Istanbul and was awarded the academic title “Dr.med.dent.”, 1997;\nHe was awarded the academic title “Doç.Dr.” (Associated Professor) in 2003;\nProficiency in Botulinum Toxin Applications, Reading-UK in 2009;\nMastership, RWTH Certificate in Laser Therapy in Dentistry, AALZ-Aachen University, Germany 2009-11;\nMaster of Science (MSc) in Laser Dentistry, University of Genoa, Italy 2013-14.\n\nDr.Tosun worked as Research Assistant in the Department of Oral Implantology, Faculty of Dentistry, University of Istanbul between 1990-2002. \nHe worked part-time as Consultant surgeon in Harvard Medical International Hospitals and John Hopkins Medicine, Istanbul between years 2007-09.\u2028He was contract Professor in the Department of Surgical and Diagnostic Sciences (DI.S.C.), Medical School, University of Genova, Italy between years 2011-16. \nSince 2015 he is visiting Professor at Medical School, University of Plovdiv, Bulgaria. \nCurrently he is Associated Prof.Dr. at the Dental School, Oral Surgery Dept., Istanbul Aydin University and since 2003 he works in his own private clinic in Istanbul, Turkey.\u2028\nDr.Tosun is reviewer in journal ‘Laser in Medical Sciences’, reviewer in journal ‘Folia Medica\\', a Fellow of the International Team for Implantology, Clinical Lecturer of DGZI German Association of Oral Implantology, Expert Lecturer of Laser&Health Academy, Country Representative of World Federation for Laser Dentistry, member of European Federation of Periodontology, member of Academy of Laser Dentistry. Dr.Tosun presents papers in international and national congresses and has scientific publications in international and national journals. He speaks english, spanish, italian and french.",institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",biography:"Zühre Akarslan was born in 1977 in Cyprus. She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"256417",title:"Associate Prof.",name:"Sanaz",middleName:null,surname:"Sadry",slug:"sanaz-sadry",fullName:"Sanaz Sadry",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256417/images/8106_n.jpg",biography:null,institutionString:null,institution:null},{id:"272237",title:"Dr.",name:"Pinar",middleName:"Kiymet",surname:"Karataban",slug:"pinar-karataban",fullName:"Pinar Karataban",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272237/images/8911_n.png",biography:"Assist.Prof.Dr.Pınar Kıymet Karataban, DDS PhD \n\nDr.Pınar Kıymet Karataban was born in Istanbul in 1975. After her graduation from Marmara University Faculty of Dentistry in 1998 she started her PhD in Paediatric Dentistry focused on children with special needs; mainly children with Cerebral Palsy. She finished her pHD thesis entitled \\'Investigation of occlusion via cast analysis and evaluation of dental caries prevalance, periodontal status and muscle dysfunctions in children with cerebral palsy” in 2008. She got her Assist. Proffessor degree in Istanbul Aydın University Paediatric Dentistry Department in 2015-2018. ın 2019 she started her new career in Bahcesehir University, Istanbul as Head of Department of Pediatric Dentistry. In 2020 she was accepted to BAU International University, Batumi as Professor of Pediatric Dentistry. She’s a lecturer in the same university meanwhile working part-time in private practice in Ege Dental Studio (https://www.egedisklinigi.com/) a multidisciplinary dental clinic in Istanbul. Her main interests are paleodontology, ancient and contemporary dentistry, oral microbiology, cerebral palsy and special care dentistry. She has national and international publications, scientific reports and is a member of IAPO (International Association for Paleodontology), IADH (International Association of Disability and Oral Health) and EAPD (European Association of Pediatric Dentistry).",institutionString:null,institution:null},{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,institution:null},{id:"260116",title:"Dr.",name:"Mehmet",middleName:null,surname:"Yaltirik",slug:"mehmet-yaltirik",fullName:"Mehmet Yaltirik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/260116/images/7413_n.jpg",biography:"Birth Date 25.09.1965\r\nBirth Place Adana- Turkey\r\nSex Male\r\nMarrial Status Bachelor\r\nDriving License Acquired\r\nMother Tongue Turkish\r\n\r\nAddress:\r\nWork:University of Istanbul,Faculty of Dentistry, Department of Oral Surgery and Oral Medicine 34093 Capa,Istanbul- TURKIYE",institutionString:null,institution:null},{id:"172009",title:"Dr.",name:"Fatma Deniz",middleName:null,surname:"Uzuner",slug:"fatma-deniz-uzuner",fullName:"Fatma Deniz Uzuner",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/172009/images/7122_n.jpg",biography:"Dr. Deniz Uzuner was born in 1969 in Kocaeli-TURKEY. After graduating from TED Ankara College in 1986, she attended the Hacettepe University, Faculty of Dentistry in Ankara. \nIn 1993 she attended the Gazi University, Faculty of Dentistry, Department of Orthodontics for her PhD education. After finishing the PhD education, she worked as orthodontist in Ankara Dental Hospital under the Turkish Government, Ministry of Health and in a special Orthodontic Clinic till 2011. Between 2011 and 2016, Dr. Deniz Uzuner worked as a specialist in the Department of Orthodontics, Faculty of Dentistry, Gazi University in Ankara/Turkey. In 2016, she was appointed associate professor. Dr. Deniz Uzuner has authored 23 Journal Papers, 3 Book Chapters and has had 39 oral/poster presentations. She is a member of the Turkish Orthodontic Society. Her knowledge of English is at an advanced level.",institutionString:null,institution:null},{id:"332914",title:"Dr.",name:"Muhammad Saad",middleName:null,surname:"Shaikh",slug:"muhammad-saad-shaikh",fullName:"Muhammad Saad Shaikh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Jinnah Sindh Medical University",country:{name:"Pakistan"}}},{id:"315775",title:"Dr.",name:"Feng",middleName:null,surname:"Luo",slug:"feng-luo",fullName:"Feng Luo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sichuan University",country:{name:"China"}}},{id:"423519",title:"Dr.",name:"Sizakele",middleName:null,surname:"Ngwenya",slug:"sizakele-ngwenya",fullName:"Sizakele Ngwenya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"419270",title:"Dr.",name:"Ann",middleName:null,surname:"Chianchitlert",slug:"ann-chianchitlert",fullName:"Ann Chianchitlert",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419271",title:"Dr.",name:"Diane",middleName:null,surname:"Selvido",slug:"diane-selvido",fullName:"Diane Selvido",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"419272",title:"Dr.",name:"Irin",middleName:null,surname:"Sirisoontorn",slug:"irin-sirisoontorn",fullName:"Irin Sirisoontorn",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Walailak University",country:{name:"Thailand"}}},{id:"355660",title:"Dr.",name:"Anitha",middleName:null,surname:"Mani",slug:"anitha-mani",fullName:"Anitha Mani",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"355612",title:"Dr.",name:"Janani",middleName:null,surname:"Karthikeyan",slug:"janani-karthikeyan",fullName:"Janani Karthikeyan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"334400",title:"Dr.",name:"Suvetha",middleName:null,surname:"Siva",slug:"suvetha-siva",fullName:"Suvetha Siva",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"334239",title:"Prof.",name:"Leung",middleName:null,surname:"Wai Keung",slug:"leung-wai-keung",fullName:"Leung Wai Keung",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Hong Kong",country:{name:"China"}}}]}},subseries:{item:{id:"22",type:"subseries",title:"Applied Intelligence",keywords:"Machine Learning, Intelligence Algorithms, Data Science, Artificial Intelligence, Applications on Applied Intelligence",scope:"This field is the key in the current industrial revolution (Industry 4.0), where the new models and developments are based on the knowledge generation on applied intelligence. 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His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. 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She is the founder of the Department of Zoology and former controller of examinations at Shaheed Benazir Bhutto University, Hazara University, and Kohat University of Science and Technology. She is the author of 150 high-impact research papers, 135 abstracts, 40 authored books, 9 chapters, and 9 edited books. She is also a student supervisor. 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