Summary of reported the thermal resistance of SiO2 layer (
\r\n\tWhile histopathologically, the most common minimal change disease is focal segmental glomerulosclerosis, membranoproliferative glomerulonephritis, mesangial proliferation, proliferative glomerulonephritis, and membranous glomerulopathy can be seen. Treatment is planned according to symptoms, complications, and primary disease. The first goal is to minimize protein loss. Although corticosteroids are the first choice in treatment, if side effects occur or the disease does not respond, immunosuppressive treatments are applied. Current treatment approaches have shown promising results in terms of disease treatment. However, its long-term side effects and remission sustainability are still unclear.
\r\n\r\n\tNephrosis is an inflammatory, neoplastic or non-vascular nephropathy that causes degenerative changes and solute accumulation in tubules and glomeruli. Nephrosis may be due to a primary cause or secondary to another disorder. Nephrosis is often seen as amyloid nephrosis and osmotic nephrosis. Osmotic nephrosis causes structural changes with intracytoplasmic vacuolization and swelling of tubular cells, occurring primarily in the proximal tubules, without a change in osmotic balance, resulting from certain solutes such as dextran, contrast dyes, mannitol, and hydroxyethyl starch. It can lead to clinical manifestations ranging from acute renal failure to chronic kidney disease.
\r\n\tAmyloid light-chain amyloidosis is the most common type of amyloidosis, with the kidney one of the organs most commonly affected. With the enlargement of the kidney area affected by amyloid deposits, proteinuria and renal dysfunction are usually observed. This topic includes advances in research on the etiology and pathogenesis of nephritis, nephrotic syndrome, and nephrosis, new early diagnosis methods, follow-up and treatment plans, and case series. It will provide significant opportunities and support to scientists, philosophic and medical doctors, urologists, nephrologists, public health practitioners, and family physicians from around the world to share new research, ideas, and solutions.
In order to obtain bright thermal radiation from gapless graphene, the radiative electron–hole recombination process is not enough due to the ultrafast energy relaxation that occurs through electron–electron (∼10 fs) and electron–phonon (∼1 ps) interactions. On the other hand, graphene\'s superior mechanical strength, high‐temperature stability and non‐equilibrium electron temperature, compared to lattice temperature, may enable the efficient thermal radiation under high electric field. However, the thermal radiation from electrically biased graphene is significantly influenced by the substrate. Especially, dominant vertical heat dissipation through underlying substrate, and extrinsic scattering effects, such as charged impurities and the surface polar optical phonon, limit the thermal radiation efficiency of graphene.
\nFreely suspended structure enables the dramatic suppression of undesirable vertical heat dissipation and extrinsic scattering effects by substrate, and much more promising to yield efficient and brighter thermal radiation from graphene in the infrared to visible range. Furthermore, the emitted light from suspended graphene interacts with the reflected light from the separated substrate surface, resulting in interference effects that can be used to tune the radiation spectrum of this material. Electro‐thermal engineering will allow obtaining advanced graphene light emitters for atomically thin, flexible and transparent lighting and ultrafast optical interconnects. In this chapter, we will provide an overview of the thermal radiation from electrically biased graphenes in the infrared and visible spectrum range.
\nGraphene\'s superior electronic [1], mechanical [2] and thermal [3] properties can be used for high mobility field‐effect transistors (FETs) [4] and mechanical resonators [5]. In the case of electronic devices, as shown in Figure 1a, that depicts a graphene FET, the applied electric field applied by the source-drain voltage generates a Joule self‐heating effect, which leads to a change of its electronic transport behaviour or device failure, in some cases [6]. For carbon nanotubes (CNTs), the observed electronic transport characteristics have been explained by heat transports along the CNT channels and between CNTs and the substrates [7]. There have been reports on the heat dissipation from graphene devise in a diffusive regime, where the chemical potential changes along the graphene channel. A direct method to study the heat dissipation is to accurately measure the temperature during device operation (see Sections 2.1–2.3). The temperature measurement of graphene on a substrate biased by a source–drain voltage has been performed in four ways: (1) shift of Raman peaks [8–11]; (2) thermal scanning imaging [11]; (3) thermal radiation [9, 10, 12] and (4) ratio of the Stoke/anti‐Stoke intensities in Raman spectroscopy [9, 10, 13]. Methods (1) and (2) are sensitive to the acoustic phonon (AP) temperature (
(a) Graphene field‐effect transistor. S, D and G are source, drain and gate, respectively.
The Fourier\'s law for thermal conductance is:\n
where
Figure 2 shows a summary of temperature increase (ΔT) of graphene devices on substrates, as a function of electrical power density, determined by various temperature measurement techniques. The closed, opened and half‐closed scattered points show the acoustic,
averaged temperature increase (ΔT) as a function of applied power per unit area of reported devices. Detailed information of each device is described in
The detailed measurement techniques can be found in the legend of Figure 2. For each sample, one can obtain the
References | \n|||||||
---|---|---|---|---|---|---|---|
[8] | \n2.65 | \n1.45 | \n300 | \n60,000 | \n5100 | \n65,100 | \n73,500 | \n
[12] | \n28 | \n6 | \n300 | \n1370 | \n770 | \n2140 | \n2100 | \n
[11] | \n7 | \n4 | \n300 | \n8240 | \n1900 | \n10,130 | \n8300 | \n
[10] | \n4.15 | \n1.45 | \n300 | \n38,350 | \n4070 | \n42,430 | \n68,100 | \n
[9] | \n3.6 | \n1.6 | \n280 | \n37,400 | \n4160 | \n41,560 | \n69,800 | \n
Summary of reported the thermal resistance of SiO2 layer (
Average calculated (
In order to treat the heat transfer from graphene on a substrate into the surrounding environment, as shown in Figure 1b, let us first consider a one‐dimensional heat equation along the graphene channel [12]:\n
where
Thermal radiation can be observed for graphene devices on a substrate under high electric field, which is attributed to the electrically driven spontaneous emission from hot electrons of graphene [9, 10]. The thermalized charge carriers under electric field emit electromagnetic radiation, according to Planck\'s law, as a grey body:\n
where
(a) Thermal radiation spectrum from graphene on substrate under applied electrical power per unit area (symbols). The radiation spectra are well fitted to Planck\'s law (solid line) and electron temperatures are estimated. (b) Anti‐stoke and (c) Stokes Raman G mode as function of applied electric field and optical phonon temperature are indicated. (d) Electron and optical phonon temperature as function of the dissipated electrical power. It indicates the equilibrium of electron and optical phonon temperature. (e) Raman G mode frequency (symbol) features as function of optical phonon temperature. Solid line is the theoretically predicted temperature dependences under phonon equilibrium. Dashed line is linearly extrapolation (from Ref. [
The
Raman spectroscopy is a well‐known technique for the characterization of a number of layers, doping level, mechanical strain and temperature of graphene. In particular, for graphene devices under high electric field, Raman spectroscopy accurately provides the phonon temperature and population. In typical Raman spectroscopy, spontaneous Raman effects are due to the inelastic light scattering, with optical phonon modes of the material being determined by measurement. The resulting inelastic scattered of excited photon emits or absorbs optical phonons. The Stoke process involves the creation of extra optical phonons (
In graphene, the phonon population for zone centre optical phonons can be estimated from the G peak signal intensity of the Raman spectra, which is proportional to phonon populations with effective temperature, and follows from the Bose‐Einstein distribution. Raman signal intensity ratio of the anti‐Stoke (
where
The Raman spectrum of graphene also exhibits a downshift of the Raman peak position with increasing temperature. This is due to the anharmonic coupling effect and anharmonic temperature of secondary phonons into G mode phonon decay and a thermal expansion effect [16]. Empirically, the down shift of the G peak can be measured as a linear function of
where
As discussed in Sections 2.1–2.3, accurate measurements of graphene temperature provide a deep understanding of the heat dissipation mechanism and electron‐phonon interaction in biased graphene devices. Direct comparison of
In the case of CNTs, non‐equilibrium phonon distributions have been measured when electrically biased, as high‐energy optical phonons have larger populations than low‐energy phonons, such as radial‐breathing mode and acoustic phonons [7, 18].
\nSimilarly to what was found with CNTs, non‐equilibrium phonon populations in electrically biased graphene on a substrate have been observed. Table 1 and Figure 3 [9, 10] showed that the elevated
Experimental results show that strong electron‐optical phonon coupling enables the equilibrium of the electron and optical phonon temperature, whereas an energy relaxation bottleneck to low‐energy phonons results in the non‐equilibrium phonon population. Furthermore, strong coupling with surface polar optical phonons and substrate acoustic phonons provides an extra electronic energy relaxation path, resulting in the effective cooling of acoustic phonons of graphene, under high electric field. Therefore, non‐equilibrium optical phonon temperature (
where
where
Graphene has unique electronics and phonon states under high electric field, such as decoupled electrons and low‐energy phonon temperature [9, 13]. These make graphene an efficient material as thermal radiation source, determined only by
Previous studies of infrared light emission from graphene were accomplished by graphene FETs on a substrate under high electric field [9, 10, 12]. Due to the self‐heating effect of graphene under electrical bias, only a small fraction (<10-6) of energy is converted into light and most of the energy is dissipated into the substrate and metal contact. The extracted
(a) Infrared mapping of temperature profiles along the graphene,showing hotspot formation. The hot spot moves from source to drain, marking the location of minimum charge density and maximum electric field, following the device electrostatics (from Ref. [
In graphene FETs, charge carrier density profiles are determined by applied electric field and gate voltage. According to the self‐consistent electrical‐thermal model of charge and heat transport in graphene, the minimum charge carrier density spatial location is the cross‐point of the Fermi level across the charge neutrality point. The hot spot position of the infrared image directly reveals the spatial location of the charge neutrality point along the graphene channel, as shown in Figure 5a and b. In some case, the stationary hot spot of infrared light emission, even under variation of gate voltages and source‐drain bias, is attributed to the defects of graphene and trapped charges in the substrate [10, 12, 14].
\nSpontaneous thermal radiation is governed by the Fermi\'s golden rule, and the transition rate is determined by the optical density of the environment. This was shown in Ref. [19], through an optical micro cavity controlled graphene infrared light source, with emission around 925 nm,. Due to the strong light‐matter interaction of atomically thin graphene and the optical confinement effect, micro‐cavity structures enable the control of 20‐fold enhancement of photocurrent generation, which is spectrally selective near infrared thermal radiation. The thermal radiation confinement effect inhibits spontaneous thermal radiation wavelengths larger than the resonant wavelength of the optical cavity. The optical cavity‐induced suppression of the radiative thermal radiation also leads to the self‐heating effect in graphene, which is affected by non‐radiative heat transfer through the substrate, metal electrodes and radiative heat transfer.
\n\nAs discussed in the previous section, high electric field transport of graphene on a substrate is affected by the substrate and environmental conditions. Limited thermal radiation efficiency and electron temperature are due to the dominant heat dissipation to the substrate and extrinsic scattering effects, such as electron‐hole puddle, trapped charges [20] and surface polar phonon [21]. According to some authors [22, 23], suspended graphene shows ultrahigh mobility and fractional quantum Hall effect at low temperature, with low electric field. Therefore, in order to observe the intrinsic properties of graphene under high electric field, suspended structures are essential.
\nIn suspended graphene, the self‐heating effect plays a role due to significantly reduced heat dissipation through the substrate. Thermally induced charge carriers, saturation velocity, charge carrier mobility and thermal conductivity of graphene are significantly affected by the applied electric field and temperature.
\nIn the clean limit of suspended graphene, under high electric field as shown in Figure 6a–c, the total charge carrier density of graphene is dominated by thermally induced charge carriers (
(a) Suspended graphene device, where colour scale indicates the temperature under high electric field. (b) SEM image of suspended graphene grown by CVD. (c) Calculated total charge carrier density as function of gate voltage with increasing temperature. In suspended graphene, thermally generated charge carriers are dominant at high temperature and independent of gate voltage. (d) Simulated
where
The current density
where
where
For a self‐consistent electrical‐thermal calculation of suspended graphene, the heat diffusion equation for the temperature profile (
where
Using a self‐consistent electrical‐thermal calculation in suspended graphene, as shown in Figure 6d, clean samples show the saturation behaviour under high electric field. This implies that high charge carrier mobility of suspended graphene devices have a larger temperature dependence (
In contrast with suspended CNTs, suspended graphene does not show a negative differential conductance, due to the linear increase of density of states in 2D, whereas CNTs have strong 1D phonon scattering, resulting in a negative differential conductance [7].
\nAlong the temperature profile of suspended graphene, drift velocity and charge carrier density are affected by current density. Theoretically, saturation velocity of graphene was predicted as
Suspended graphene is well known as a material having the highest thermal conductivity at room temperature (
Graphene has a great potential as an efficient thermal radiation light source due to its superior mechanical strength, high‐temperature stability, high current density and non‐equilibrium phonon modes. However, previous reports regarding the thermal radiation of supported graphene [9, 10, 12, 19] have been limited to the near infrared light emission range, and extremely small fractions of electrical power are converted into the photons (∼10-6). The main reason for the limited performance of graphene light emitters supported on a substrate is the dominant heat dissipation through the substrate, and significant hot carriers cooling by dominant extrinsic scattering origins, such as charged impurities, trapped charges and surface polar phonons. In the case of freely suspended graphene, these issues can be ignored. Therefore, suspended structures are promising for the observation of bright, efficient light emission radiation approaching the intrinsic properties.
\nThere are several methods that can be used for the synthesis of suspended graphene structures. One is wet‐etching of a sacrificial layer after metallization onto the graphene. The other procedure is the transfer of patterned graphene onto pre‐fabricated trench substrate. In order to increase the fabrication yield and prevent the collapse of graphene, a critical point dryer process is important. Suspended graphene structures are fabricated using mechanically exfoliated graphene or large‐scale graphene grown by the CVD method. Figure 7a shows the obtained suspended graphene devices [25].
\n(a) SEM image of suspended monolayer graphene devices. (b) Schematic of electrically biased suspended graphene and light emission from the centre of graphene. Micrographs of bright visible light emission from a suspended mechanically exfoliated graphene: (c) few‐layer graphene under
In order to observe light emission from suspended graphene under electrically bias, an experimental set‐up, similar to that shown in Figure 7b, is used under vacuum (∼10-5 Torr), at room temperature. In addition, to get clean graphene channel and reliable contact resistance, a slow current‐induced annealing process [29] is essential. Suspended graphene exhibits bright visible light at the centre of the graphene channel once the applied bias voltage exceeds the critical field (0.5 ∼ 1.0
Y.D. Kim et al. [25] also demonstrated multiple visible light emission from a large‐scale suspended graphene array, which was fabricated from large‐scale CVD graphene. The synthesis of a large‐scale, robust and bright visible light emitter array from CVD graphene will allow obtaining graphene‐based flexible and transparent lighting and display modules. Furthermore, complementary metal‐oxide‐semiconductor (CMOS) compatibility of graphene technology will enable a hybrid graphene‐photonic platform for ultrafast optical communications.
\nThe radiation spectrum from electrically biased suspended graphene over a trench of depth (
(a) Spectra of visible light emitted from electrically biased suspended graphene exhibiting multiple strong emission peaks. Thermal radiation with interference effect (solid line) fit well to the experimental data (symbol). Estimated electron temperatures of suspended graphene are indicated as function of applied source‐drain bias. Inset: emission peak energies as a function of source‐drain bias and applied electric field. (b) Interference effect between reflected (dashed arrow) and thermal radiation originated directly from graphene suspended over a trench. (c) Estimated thermal conductivity and (d) optical phonon temperature of suspended graphene based on self‐consistent electrical and thermal transport, where it is assumed that
These multiple emission peaks in the visible range and significant modulation by trench depth can be understood by interference effects between the light emitted directly from the suspended graphene and light reflected from the substrate as shown in Figure 8b. When we neglect the light reflection and absorption by the graphene, the interference effect on thermal radiation is given by:\n
where
Based on thermal radiation with interference effect (Eq. 13), electron temperature of suspended graphene was extracted, as shown in Figure 8a (solid line) and approaches 2800 K. The light emission peak in the visible range rapidly increases with the applied electric field above a critical field (∼0.4
Raman spectroscopy provides an accurate measurement of acoustic phonons, optical phonon population and the temperature under applied electric field, as described in Sections 2.2 and 2.3. However, bright thermal radiation from electrically biased suspended graphene becomes significantly stronger than the Raman signal above ∼1500 K. In order to estimate the temperature profiles and thermal conductivity, self‐consistent numerical simulation of electrical and thermal transport is used, as described in Section 4. From numerical simulation based on the electrical transport data, thermal conductivity at the centre of the suspended graphene channel decreases from
Effectively localization of hot electron in suspended graphene by unique electronic and thermal properties enables bright visible light emission. Based on the Stefan–Boltzmann law from measured electron temperature, as shown in Figure 8e, thermal radiation efficiency was estimated as
An electrically driven graphene light emitter has great advantages, such as being atomically thin, broadband emission, radiation spectrum tunability, surface and self‐emission all with a simple structure. Furthermore, ultrafast and broadband electrical and optical response of graphene has enabled the development of a nanoscale ultrafast light emitter. We expect to obtain atomically thin, flexible and transparent light sources and on‐chip optical interconnects for communications based on graphene.
\nThe authors thank J. Hone, Y.D. Park and G. Arefe. YDK was supported by Grants from ONR (N00014‐13‐1‐0662 and N00014‐13‐1‐0464) and DE-SC0012592. MB was supported by Grants from the National Research Foundation of Korea (NRF‐2012‐M3C1A1‐048861, NRF‐2015R1A2A1A10056103) funded by the Korean government.
Today, rapid changes and advances in science and technology affect and change the lifestyle of individuals. Apart from individuals, it is not possible for the education process and educational environments not to be affected by this change [1]. When the technologies used in educational environments from the past to the present are examined, it is seen that there is a transformation from blackboard and chalk to the computer and internet world, even to smart technologies with artificial intelligence. Especially in recent years, computer and internet technologies have had such a wide area of use in our lives that it was unthinkable for education services to be left out of the field [2].
The definition of today’s learners as Z generation and/or digital generation and their characteristics require educators to follow technological developments and use the most appropriate technological tools in learning environments. One of these new technologies is augmented reality applications in education. When the literature is examined, there are many definitions of the concept of augmented reality made by researchers. Some of these definitions:
Augmented reality according to Milgram and Kishino [3]; “it is a reality environment where digital media products are used instead of real world objects” appears to be the most general definition. According to Azuma [4], augmented reality is a derivative of virtual reality. According to this definition, augmented reality is virtual environments in which existing reality is supported, not created from scratch. In this context virtual and real objects in augmented reality environments offered to users in harmony. Augmented reality creates the interactive environment between the virtual and real world. Augmented reality is used to achieve this [5, 6]. When the definitions in the literature are examined, as a common definition; augmented reality can be defined as real worlds enriched using virtual objects.
When the important areas where Augmented Reality (AR) Technology is used are examined;
Education
Health
Marketing
Game and Video
Tourism
Build
Cinema
Food
Art and Museums
Automotive
Device Maintenance/Support
With the rapid development of Augmented Reality applications day by day, usage areas in many sectors are starting to increase. Major brands have started to give importance to providing a more realistic and embodied experience to their customers by using Augmented Reality (AR). This technology, which appears in many fields such as cosmetics, automobiles, construction, food, combines the virtual world with real life. Identifying target audiences, tracking and using technology in brand awareness and sustainable marketing is now vital for companies. The most importantly, companies from the public or private sector invest on enhanced technology in order to better promote or market their services/products and need talented people/firms in this field. In this context, augmented reality applications offer these services to businesses with technology support.
Although augmented reality applications are used in many areas, the most important of these areas is the field of education. New opportunities offered by AR technology for education have started to attract the attention of educators over time [7]. When these new opportunities and advantages are evaluated [8, 9, 10, 11]:
to provide students with more flexible and interesting learning environments,
to experience an excitement they have never experienced before,
to increase their willingness and motivation to learn,
to help students make active observations during their learning processes and to form hypotheses as a result of these observations,
to increasing students’ learning performance and helping them establish social interactions within the group,
to bridging formal and informal learning and encouraging students to learn collaboratively,
AR technology; it gives a feeling of independence from the place, freedom and personal,
to creating new opportunities in education by promoting learning.
it is possible to rank as.
When the augmented reality technologies, which are frequently used in the field of education, are examined,
Wearable technologies in the field of education are used in learning-teaching environments. Modern visualization techniques help students explore existing educational resources and new knowledge (Figure 1) [12].
Wearable technologies the past and present and future.
Wearable technologies frequently used in education:
Internet of things
Smart watches
Google – Glass Project
HoloLens – Microsoft:
Oculus Rift – Facebook
Bracelets, Rings and Necklaces
Smart Clothing and Tattoos
These tools, which can also be named as wearable computers in the literature, reveal a commensalistic relationship between human and computer however, the daily life of the individual has a structure that enriches their experience [13]. From smart watches to wristbands, sensor accessories such as rings and necklaces, virtual reality glasses, Google Glass project and derivative smart glasses, as well as smart optical lenses and headphones, many things can be shown among wearable technologies [14].
When the programs that enable the use of AR technologies in education are considered:
Augment – 3B
Google Translate
SketchAR
Wikitude
LifePrint Photos
Smartify
Spyglass
Blippar
Aurasma
In the light of all this information, the purpose of this chapter; the use of augmented reality environments and applications in the field of education, the programs and technologies used in this context, and the researches are discussed in detail.
The new normal situation, especially with the pandemic process, also creates an opportunity for more educators to try new generation technologies (VR and AR technologies) beyond video and teleconferencing applications. It is predicted that such research studies will be important so that educators realize the benefits of these technologies and use them actively in learning environments.
Augmented reality (AR) has been slowly but surely following its predecessor virtual reality in changing the education sector—digitizing classroom learning, and making training more diverse and interactive. In this section, current studies in the literature in recent years on the integration of augmented reality applications into education are given. When these studies are examined;
Çetin [15], investigated the effect of augmented reality-based stories on reading skills in his research. In the research, augmented reality based story text samples were presented to primary school 3rd grade students (Figure 2).
Augmented reality based story text samples.
A scoring key was developed for the answers given to the questions prepared by the researcher to measure the skills of expressing what they read in writing. As a result of the research, it was observed that the augmented reality-based stories did not have a significant effect on the reading motivation and reading comprehension skill levels of the students, but they created a positive significant difference on their ability to tell what they read in written and verbal form. In addition, as a result of the research, it was observed that the reactions of the students towards the texts increased.
As a similar study Baysan and Uluyol [16], the effect of the use of augmented reality books (AR-books) on the academic success of the students and the students’ opinions about the environment were investigated in his study. The AR-based teaching material developed by the HITLibHZ-BuildAR program was used in the laboratory environment for the experimental group of 22 people and the course was taught by the researcher. As a result; according to the qualitative data obtained from the students, AR is a promising technology. Educational AR applications should be used in areas that require 3D spatial visualization such as Geometry and Geography rather than technology education. Participants support the use of AR in Computer Hardware training, with better developed platforms and more professional designs (Figure 3).
Augmented reality application book sample.
Almusawi et al. [17], in their study, they discussed innovation in physical education: teachers’ perspectives on readiness for wearable technology integration. The study is a case study and includes semi-structured interviews with 38 public school physical education teachers. The following scheme was used in the study (Figure 4).
Augmented reality application book sample.
The findings show that physical education teachers have concerns about the design aspects of wearable technologies in terms of material design and device suitability for physical education. To eliminate these concerns, it is proposed to provide innovative learning environments that impact technology through collaborative, competitive, engaging and evidence-based learning experiences through wearable technologies that provide comfort, enhanced wearability and injury prevention in physical education.
It is understood from the existence of studies in the literature that augmented reality technologies have been used frequently in medical education recently. When the relevant studies in the literature are examined (Figure 5).
Use of augmented reality technologies in medical education.
Kucuk et al. [18], a new perspective in medical education multimedia applications: augmented reality has been studied in their research. As a result, it is difficult to understand the subjects including the structure of the brain and vessels such as neuroanatomy in medical courses, in this direction, it was emphasized that AR applications could be developed to facilitate the learning processes of students in such subjects. Considering the characteristics of today’s students in the digital citizen group, it has been suggested in the study that students should be supported with various technological solutions in this process, at this point, the dissemination of medical augmented reality applications that are based on the learning approach anytime and anywhere and support individual learning.
Augmented reality, a concept that has been frequently encountered recently, promises a future where we can get away from the world we live in, create a new worlds and enter ‘inside’ our imagination. By adding this technology with which we can ‘beautify’ the world we live in, make brand new additions to our world and bring our imagination to the place we live in, we started to manipulate our real world at the same time, while constructing mixed reality virtual worlds that we use together. It has become compulsory to benefit from these privileges and advantages that augmented reality offers to our lives, especially in terms of education, on behalf of the Z generation youth.
It is now possible to use these technologies in learning and teaching environments by making use of the ready-made programs of augmented reality. When the literature is examined, the frequently used programs and application areas are below:
Augment is an ARCore-based mobile app to visualize 3D models in Augmented Reality, integrated in real time in their actual size and environment. Balak and Kısa [19] investigated the effects of this application on technical drawing education in their studies. The data obtained as a result of the use of Augmented Reality technology in the technical drawing course of the 2015–2016 period were examined. As a result; the result of the survey made with the pre- and post-tests applied; it has been determined that the students understand and adopt the Augmented Reality technology, which is a modern education tool, and this technology increases their interest in the lesson (Figure 6).
Technical drawing with 3D modeling with AR technologies.
According to Google, the Translate app currently supports text translations between 103 languages, offline translations for 52 languages and Word Lens-based augmented reality translations for 30 languages. Aiming to make life easier for users with its mobile translation application, Google offers Instant camera translation; It started to support a total of 88 languages with the addition of 60 new languages such as Arabic, Hindi, Malaysian, Thai and Vietnamese etc. (Figure 7).
Augmented reality-based Google translate app.
SketchAR, which is an application that combines augmented reality and drawing, is among the applications frequently preferred by artists recently. SketchAR, which is basically a drawing application made available to artists, confirms that digital works created by artists are unique and original, making them accepted as NFT (data unit). SketchAR, an initiative founded in 2017 by Aleksandr Danilin, Alexander Danilin and Andrey Drobitko in Lithuania, offers its users a different drawing experience by combining augmented reality technology with drawing, together with artificial intelligence support (Figure 8).
Drawing courses with SketchAR.
Wikitude initially focused on providing location-based augmented reality experiences through the Wikitude World Browser App. In 2012, the company restructured its proposition by launching the Wikitude SDK, a development framework utilizing image recognition and tracking, and geolocation technologies. Wikitude initially entered the market with its geo location AR app. The Wikitude app was the first publicly available application that used a location-based approach to augmented reality (Figure 9).
Wikitude world browser app.
It is supported by studies in the literature that this application is also used in geography education. Wikitude; it is a complete AR development platform used by major brands, travel catalogs, retailers and publishers to deliver a variety of engaging solutions.
Life Print is an Android and iPhone photo and video printer. The Life Print program uses augmented reality to magically bring photos to life (Figure 10).
Augmented reality app: LifePrint photos.
The application starts with permission from users to access camera and location. With camera access, the artwork is scanned, and according to the location, it provides the opportunity to get information about which museums are and how far, how many artworks of art they are, open and closed hours, and to see some of the artworks in the museum. The application has three basic directions;
Augmented reality app: Smartify.
Spyglass app is a program that allows users to turn their smartphones into a compass, gyroscope, star tracker and more (Figure 12).
Locating with spyglass technologies.
Blippar uses augmented reality, artificial intelligence and computer vision to provide you with information about what you find around you. It is quite successful with its advanced image recognition algorithms that find out what the objects are and bring the relevant information. Blippar will introduce the feature that will allow its users to create their own profiles very soon, but it will be possible to get detailed information about a person with the innovation called Augmented Reality Face Profiles (Figure 13).
Unlock augmented reality of everyday objects and places with the Blippar app.
One of the web 2.0 tools using Augmented Reality technology is the Aurasma application. Interactive virtual reality materials can be created free of charge with the Aurasma web 2.0 tool. With these materials, students can be taught more efficiently, and very effective information can be provided outside the classroom [20].
by creating animated and interactive boards
prepare interactive lecture notes or handouts
interactive presentation of albums or details about activities such as observation projects, experiments (Figure 14).
Educational use of Aurasma app.
According to Onder [21], the Aurasma application draws attention with its ability to provide AR environments and opportunities to teachers and students, ease of use, support for distance education, creating individualized learning environments and being used as an evaluation tool.
This research is an example of a literature review. A literature review is a search and evaluation of the available literature in your given subject or chosen topic area [22]. At the end of the study, it was emphasized that the prepared sections should be carefully read by the educators and put into practice in their lessons. In addition it was also pointed out that it should be preferred in order to communicate effectively with students by interacting in real time, especially during the pandemic process.
In this research, a detailed analysis of the augmented reality environments and applications that are frequently used in the design of learning and teaching environments in the education sector with the digitalization process is included. As the general results of the research; today, with the introduction of technologies into educational environments, different tools and materials have begun to be used in teaching methods. In this context, it is seen that the inclusion of mobile tools and mobile applications in learning environments has become widespread recently. With this rapid development in mobile technologies, new media environments, in which interactivity increases, offer an increasing number of services to the user. One of the environments where this interaction is provided and which can integrate objects in virtual environments with real objects is technologies that offer “Augmented Reality (AR)”. These technologies allow virtual objects to be superimposed on real images. AR tools consist of camera, computer infrastructure, a marker and tangible objects.
One of the most important sectors in which augmented reality technologies are used is the education area. Augmented reality applications help students understand abstract concepts in the learning and teaching process; it provides environments where students can share information within the group. In addition, it has been supported by studies in the literature that these environments significantly increase students’ learning. In addition, it was emphasized that augmented reality increases the interests, motivations and experiences of students in the field of education and plays a role in transferring the knowledge and skills gained in the virtual environment to real environments.
In all this context; increasing the use of learning environments of augmented reality environments and applications, where the effectiveness of its use in education has been determined to this degree, in different levels and course contents is the most important suggestions of this research.
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Various synthetic chemical preservatives are being used to control microbial food spoilage and to extend product shelf life. Researchers and consumers are discouraging the use of synthetic preservatives due to their negative health impacts. Naturally occurring antimicrobials have gained attention among researchers and food manufacturer due to their safety and nontoxic status. Natural preservatives are easy to obtain from plants, animals and microbes. These naturally occurring antimicrobial agents can be isolated from indigenous sources using various advanced techniques. Natural preservatives such as nisin, essential oils, and natamycin have effective potential against spoilage and pathogenic microorganisms. The regulations regarding the use of these naturally occurring preservatives are not well defined in some developing countries. This chapter focuses on source and their potential role, antimicrobial mechanism in food preservation, and current knowledge on the subject.",book:{id:"7261",slug:"active-antimicrobial-food-packaging",title:"Active Antimicrobial Food Packaging",fullTitle:"Active Antimicrobial Food Packaging"},signatures:"Farhan Saeed, Muhammad Afzaal, Tabussam Tufail and Aftab Ahmad",authors:[{id:"192244",title:"Dr.",name:"Farhan",middleName:null,surname:"Saeed",slug:"farhan-saeed",fullName:"Farhan Saeed"},{id:"232885",title:"Dr.",name:"Aftab",middleName:null,surname:"Ahmed",slug:"aftab-ahmed",fullName:"Aftab Ahmed"},{id:"245894",title:"Dr.",name:"Muhammad",middleName:null,surname:"Afzaal",slug:"muhammad-afzaal",fullName:"Muhammad Afzaal"},{id:"255994",title:"Mr.",name:"Tabussam",middleName:null,surname:"Tufail",slug:"tabussam-tufail",fullName:"Tabussam Tufail"}]},{id:"55599",doi:"10.5772/intechopen.69301",title:"Nutritional, Bioactive and Physicochemical Characteristics of Different Beetroot Formulations",slug:"nutritional-bioactive-and-physicochemical-characteristics-of-different-beetroot-formulations",totalDownloads:3880,totalCrossrefCites:12,totalDimensionsCites:24,abstract:"Beetroot possesses high nutritional value and is considered one of the main dietary sources of nitrate. Nitrate has increasingly attracted the interest of the scientific community regarding new physiological, nutritional and therapeutic approaches with beneficial effects on the cardiovascular system. These effects can be explained by the possible effect of dietary nitrate in stimulating nitric oxide synthesis. Dietary nitrate can be reduced to nitrite in the oral cavity, which is then decomposed to nitric oxide and other bioactive nitrogen oxides in the stomach. Beetroot administration can be conducted by several types of formulations, in order to provide a convenient and alternative source of dietary beetroot, such as beetroot juice or beetroot chips and powder. The challenge in providing a product which, in addition to being rich in nitrate, is attractive and easy to administer, while also being microbiologically safe, is increased by the limited scientific information available concerning the nutritional aspects of beetroot formulations. In this chapter, a brief review on the efficiency of different beetroot formulations on health indicators is conducted, emphasizing the effects following the intake of nitrate-enriched beetroot gel. The metabolic and hemodynamic effects of beetroot formulations in healthy and non-healthy volunteers are also discussed.",book:{id:"5766",slug:"food-additives",title:"Food Additives",fullTitle:"Food Additives"},signatures:"Diego dos S. Baião, Davi V.T. da Silva, Eduardo M. Del Aguila and\nVânia M. 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Mainly, herb and spices contain many essential oils and the examples include rosemary, sage, basil, oregano, thyme, cardamom, and clove. These essential oils are very effective against many pathogenic and spoilage microorganisms like Salmonella, Escherichia coli, Listeria monocytogenes, Campylobacter spp., and Staphylococcus aureus and help to increase their quality and shelf stability. These antimicrobial compounds are also used in combination with edible food coatings and inhibit the ability of microorganisms to grow on the surface of food and food products.",book:{id:"5766",slug:"food-additives",title:"Food Additives",fullTitle:"Food Additives"},signatures:"Muhammad Sajid Arshad and Syeda Ayesha Batool",authors:[{id:"192998",title:"Dr.",name:"Muhammad Sajid",middleName:null,surname:"Arshad",slug:"muhammad-sajid-arshad",fullName:"Muhammad Sajid Arshad"},{id:"209272",title:"Ms.",name:"Syeda Ayesha",middleName:null,surname:"Batool",slug:"syeda-ayesha-batool",fullName:"Syeda Ayesha Batool"}]},{id:"14938",doi:"10.5772/15688",title:"Phomopsis Seed Decay of Soybean",slug:"phomopsis-seed-decay-of-soybean",totalDownloads:4488,totalCrossrefCites:10,totalDimensionsCites:22,abstract:null,book:{id:"1484",slug:"soybean-molecular-aspects-of-breeding",title:"Soybean",fullTitle:"Soybean - Molecular Aspects of Breeding"},signatures:"Shuxian Li",authors:[{id:"21619",title:"Dr.",name:"Shuxian",middleName:null,surname:"Li",slug:"shuxian-li",fullName:"Shuxian Li"}]}],mostDownloadedChaptersLast30Days:[{id:"57363",title:"Some Aspects of Animal Feed Sampling and Analysis",slug:"some-aspects-of-animal-feed-sampling-and-analysis",totalDownloads:2875,totalCrossrefCites:0,totalDimensionsCites:2,abstract:"Animal feed plays an important part in the food chain and the composition and quality of the livestock products (milk, meat and eggs) that people consume. Animal feeds are either classified as fodder, forage, or mixed feeds. Fodders could be classified as roughages (fresh cut forage, hay or dry forage, straw, root crops, stover and silage) and concentrates such as grains, legumes and by-products of processing. Safety is perhaps one of the most important reasons for feed analysis by the manufacturers and consumers. Storage duration and conditions for feed samples, as well as of stable and unstable parameters are important in sample preparation. A number of sub-samples for preparing final sample for various categories of feed products are recommended. Some analysis conducted on feed include; dry matter, crude ash, ash insoluble in acid (sand), crude protein, crude fat, fibre analysis, starch, gross energy, minerals. More are amino acids (excluding tryptophan), amino acids (tryptophan), fatty acids, vitamins, reducing sugar, mycotoxins, and pesticides. Various types of samples depending on their purposes and uses are available from check, standard, working and referee samples to composite types. Sampling errors in procedures exists and can be minimized by standards or purposes of the analysis, appropriate sampling equipment and using the right quantity of materials.",book:{id:"5838",slug:"ideas-and-applications-toward-sample-preparation-for-food-and-beverage-analysis",title:"Ideas and Applications Toward Sample Preparation for Food and Beverage Analysis",fullTitle:"Ideas and Applications Toward Sample Preparation for Food and Beverage Analysis"},signatures:"Gabriel Adebayo Malomo and Nnemeka Edith Ihegwuagu",authors:[{id:"94246",title:"Dr.",name:"Nnemeka",middleName:"Edith",surname:"Ihegwuagu",slug:"nnemeka-ihegwuagu",fullName:"Nnemeka Ihegwuagu"},{id:"217809",title:"Dr.",name:"Gabriel",middleName:null,surname:"Malomo",slug:"gabriel-malomo",fullName:"Gabriel Malomo"}]},{id:"56317",title:"Food Additives and Processing Aids used in Breadmaking",slug:"food-additives-and-processing-aids-used-in-breadmaking",totalDownloads:3777,totalCrossrefCites:8,totalDimensionsCites:9,abstract:"The main classes of additives used in breadmaking are: (i) oxidants/reductants; (ii) emulsifiers; (iii) hydrocolloids; and (iv) preservatives. The main processing aids used are enzymes. Historically, market trends have developed from the use of ingredients in greater quantities - to obtain specific effects in bread (such as fat for crumb softness) - to the use of additives at much lower levels (max. 1%) and, more recently, to enzymes which are used in parts per million (ppm). According to many regulations, enzymes do not need to be declared on the label of the final product, attending the “clean label” trend. We will describe the food additives used under each class, individually describing their mode of action and effects on dough rheology, during the breadmaking process, and on product quality. We will also describe the main enzymes currently used, dividing them according to the substrate they act on (gluten, starch, lipids, non-starch polysaccharides or NSPS), individually describing their mode of action and effects on dough rheology, during the breadmaking process, and on product quality. Legal aspects will also be addressed. We will conclude with future trends in the use of additives and processing aids in breadmaking.",book:{id:"5766",slug:"food-additives",title:"Food Additives",fullTitle:"Food Additives"},signatures:"Luis Carlos Gioia, José Ricardo Ganancio and Caroline Joy Steel",authors:[{id:"196530",title:"Prof.",name:"Caroline",middleName:"Joy",surname:"Steel",slug:"caroline-steel",fullName:"Caroline Steel"},{id:"197499",title:"BSc.",name:"Luis Carlos",middleName:null,surname:"Gioia Jr.",slug:"luis-carlos-gioia-jr.",fullName:"Luis Carlos Gioia Jr."},{id:"197500",title:"BSc.",name:"José Ricardo",middleName:null,surname:"Crepaldi Ganancio",slug:"jose-ricardo-crepaldi-ganancio",fullName:"José Ricardo Crepaldi Ganancio"}]},{id:"60470",title:"Contamination, Prevention and Control of Listeria monocytogenes in Food Processing and Food Service Environments",slug:"contamination-prevention-and-control-of-listeria-monocytogenes-in-food-processing-and-food-service-e",totalDownloads:2090,totalCrossrefCites:1,totalDimensionsCites:6,abstract:"This chapter reviews issues related to the occurrence and growth of Listeria monocytogenes in food processing and food service environments. L. monocytogenes is a food-borne pathogen with the capacity to contaminate raw or minimally processed foods such as chilled ready-to-eat (RTE) foods. The consumption of food contaminated with L. monocytogenes can result in a disease known as listeriosis among vulnerable groups of people such as pregnant women and fetuses, newborns, adults between the ages of 65 and 75, and people with weakened immune systems. L. monocytogenes is ubiquitous and has been isolated from soil, vegetation, sewage, water, animal feed, fresh and frozen meat including poultry, slaughterhouse wastes and the feces of healthy animals and humans. The bacterium is both acid tolerant and salt tolerant. It is able to grow at refrigerator temperature, and is therefore often associated with the consumption of raw or minimally processed and often chilled RTE foods. L. monocytogenes is able to form biofilms on food processing and preparation surfaces, which protects it from antimicrobial action. Continuous education of vulnerable groups regarding food safety will increase their awareness of the importance of practicing safer food handling practices such as hand washing and safe storage of RTE foods as a means to prevent listeriosis.",book:{id:"6648",slug:"listeria-monocytogenes",title:"Listeria Monocytogenes",fullTitle:"Listeria Monocytogenes"},signatures:"Frederick Tawi Tabit",authors:[{id:"229896",title:"Dr.",name:"Frederick Tawi",middleName:null,surname:"Tabit",slug:"frederick-tawi-tabit",fullName:"Frederick Tawi Tabit"}]},{id:"56718",title:"Natural Antimicrobials, their Sources and Food Safety",slug:"natural-antimicrobials-their-sources-and-food-safety",totalDownloads:3982,totalCrossrefCites:9,totalDimensionsCites:23,abstract:"With consumer awareness about food safety and quality, there is a high demand for the preservative (synthetic)-free foods and use of natural products as preservatives. Natural antimicrobials from different sources are used to preserve food from spoilage and pathogenic microorganisms. Plants (herbs and spices, fruits and vegetables, seeds and leaves) are the main source of antimicrobials and contain many essential oils that have preservation effect against different microorganisms. Mainly, herb and spices contain many essential oils and the examples include rosemary, sage, basil, oregano, thyme, cardamom, and clove. These essential oils are very effective against many pathogenic and spoilage microorganisms like Salmonella, Escherichia coli, Listeria monocytogenes, Campylobacter spp., and Staphylococcus aureus and help to increase their quality and shelf stability. These antimicrobial compounds are also used in combination with edible food coatings and inhibit the ability of microorganisms to grow on the surface of food and food products.",book:{id:"5766",slug:"food-additives",title:"Food Additives",fullTitle:"Food Additives"},signatures:"Muhammad Sajid Arshad and Syeda Ayesha Batool",authors:[{id:"192998",title:"Dr.",name:"Muhammad Sajid",middleName:null,surname:"Arshad",slug:"muhammad-sajid-arshad",fullName:"Muhammad Sajid Arshad"},{id:"209272",title:"Ms.",name:"Syeda Ayesha",middleName:null,surname:"Batool",slug:"syeda-ayesha-batool",fullName:"Syeda Ayesha Batool"}]},{id:"77442",title:"Fermentation of Cocoa Beans",slug:"fermentation-of-cocoa-beans",totalDownloads:414,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Cocoa bean fermentation is a spontaneous process driven by an ordered microbial succession of a wide range of yeasts, lactic acid and acetic acid bacteria, some aerobic sporeforming bacteria and various species of filamentous fungi. The process of cocoa fermentation is a very important step for developing chocolate flavor precursors which are attributable to the metabolism of succession microbial. The microbial ecology of cocoa has been studied in much of the world. In Venezuela, studies have been carried out with Criollo, Forastero, and Trinitario cocoa, fermented under various conditions, the results obtained coinciding with the reported scientific information. Fermentation must be associated with the type of cocoa available, carried out knowing the final processing and derivative (paste, butter, powder). The results shown in this chapter correspond to investigations carried out with cocoa from three locations in Venezuela. The quantification, identification, isolation, functionality of the most representative microbiota involved in the fermentation of these grains was sought. This to give possible answers to the fermentation times and improvement of the commercial quality. Likewise, generate greater interest on the part of the producers in carrying out the fermentation.",book:{id:"9709",slug:"fermentation-processes-benefits-and-risks",title:"Fermentation",fullTitle:"Fermentation - Processes, Benefits and Risks"},signatures:"Romel E. Guzmán-Alvarez and José G. Márquez-Ramos",authors:[{id:"238233",title:"Dr.",name:"Romel",middleName:null,surname:"E. Guzmán-Alvarez",slug:"romel-e.-guzman-alvarez",fullName:"Romel E. Guzmán-Alvarez"},{id:"269154",title:"Dr.",name:"José",middleName:null,surname:"G. Márquez-Ramos",slug:"jose-g.-marquez-ramos",fullName:"José G. Márquez-Ramos"}]}],onlineFirstChaptersFilter:{topicId:"46",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},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:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,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:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 18th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. 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. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,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. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). 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},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. 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