Occurrence of herbicides in soil and water samples.
\r\n\t
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Agricultural land occupies a third of the ice-free global land area, and it is expected that this percentage will rise due to increased demand for agricultural products to support the continued growth in the human population [2].
Agricultural practices can be harmful to human and surrounding ecosystems. The environmental/occupational exposure to agrochemicals (pesticide or fertilizers) has become a concern for human health [3]. Sixty percent of agrochemicals are used in the soil, and the others drain into the ground polluting the water supply; these chemicals are toxic for living organisms as they are absorbed by plants and successively accumulate in human tissue through biomagnifications of the food chain, causing human health and environment concerns [4]. Chemical pollutants are a serious and growing global problem. Pollution has become one of the greatest threats to humankind and is caused by their prevalence in water, on land, and in air. At least 7 million people die as a result of air pollution, 842,000 from water pollution, and 420,000 from consuming contaminated food. In 2015, 9 million people died (16% of deaths worldwide) due to poor waste management, generating more deaths than AIDS, malaria, and tuberculosis together [5]. According to the World Health Organization (WHO), more than 1000 pesticides [6], among them the herbicides, fungicides, bactericides, and insecticides, are used agriculturally today; however, as many as 140,000 pesticides have been synthesized since 1950.
One global concern is that genetically modified seeds permit farmers to spray herbicides even during the growing season. This leaves their crops unharmed—primarily soybeans and corn—but also leaves them with carcinogenic levels of the systemic herbicide glyphosate [7], according to the International Agency for Research on Cancer (IARC) [8]. Actually, 90% of the soybean and corn seeds are herbicide resistant [7]. A huge list of commercial food products containing soy, corn, and honey maintains traces of herbicides; glyphosate has also been reported in oat products [9].
In addition to the trace exposure of herbicides in various foods, the greatest levels are in the agricultural fields. The herbicides can be classified according to their chemical structure as organophosphates, organochlorines, carbamates, and pyrethroids, comprising a large portion of herbicides in the overall market. In developing countries, the most common herbicides based on their popularity are glyphosate, paraquat, atrazine, and 2,4-D. The use of these chemicals is well adapted for rural workers because they are of low cost, replace manual weeding, and improve yields [10]. However, accidental exposure to herbicides can be highly dangerous to human beings and other living organisms, and training programs by the sellers of herbicides that inform workers of the risk of exposure due to direct contact with the chemicals do not exist [11]. FAO reported that 800 million individuals in the world are undernourished, of which 780 million live in developing regions. Therefore, the possible health effects from the use of herbicides, in these regions, are considered by locals as less significant compared to the importance of eradicating famine [1, 12]. Because of this, it is important to balance the use of herbicides and their possible effect on the environment and health and reach sustainability. This review aims to present the key problems that can occur due to the mismanagement of herbicides in developing countries and how these chemicals can affect the health of farmworkers.
A literature search was conducted to describe the health effects on agricultural workers in rural environments due to herbicide exposure and contamination. The following data sources were used: Medline, EMBASE, Science Direct, PubMed, and Redalyc, with published studies not older than 10 years. The key terms of the search were about farmer’s health and herbicide contamination, although the search was not restricted. After deleting duplicate records, all remaining retrieved references to the bibliographic search were selected using only the title and summary. Research with irrelevant topics was eliminated to focus on the articles of interest in our study. The results were organized according to the type of health disorder due to occupational exposure. Studies focused on how to support the use of herbicides were also considered. Two hundred and one articles were selected for review of their abstracts, and 101 were classified for full analysis. After the revision of these full texts, only 61 studies were finally cited in this paper.
This review analyzes the impact of the excessive use of herbicides on specific health disorders in exposed agricultural workers and the environment damage. Many studies expose the health effects caused by herbicides; however, those in developing countries are rare. It is necessary to emphasize agriculture-related poor practices, the almost inexistent farmer training, and the health risk that this entails.
The unpromising future of agriculture in developing countries faces many challenges as a result of social pressure, increased migration, labor shortages, climate change, and food insecurity and is now an accelerating phenomenon that has resulted in the use of inadequate herbicides and depletion of natural resources, in particular the soil [12].
These events have led to the erosion of natural resources due to overexploitation of soils, to meet the growing demand for food [13], resulting in the excessive use of herbicides. It is well known that a significant portion of the chemicals applied has proven to be excessive, expensive, and sometimes unnecessary. In several countries such as in Europe and Japan, the use has been reduced; however, in the rest of the world, it has even increased [1].
Globally, in environmental government instances of some countries, are established permissible limits of herbicides in water and soil, however, in developing countries herbicides are not monitored, or simply this standards do not exist; nevertheless, several studies have shown that herbicides and their derivative compounds contaminate natural resources such as water and soil, for example, aminomethylphosphonic acid (AMPA), a secondary compound of glyphosate, can persist for several years in the soil [14]. The relationship between herbicide environmental pollution and the risk of harm to health is caused by failure to apply the adequate quantity, frequency of the products and the resistance of pests to herbicides, which causes them to tend to be accumulated in soil and water, depending on their physicochemical nature and their dynamics of interaction with the environment [15].
Table 1 shows residual soil and water values from the most commonly used herbicides worldwide. The concentrations found exceed the maximum permissible levels by international laws [22]. The reported values are evidence of progressive accumulation, which represents a risk factor for human health.
Reference | Compound | Concentration | Country/year |
---|---|---|---|
[15] | 2,4-D (dichlorophenoxyacetic acid)* | 609 μg/kg | Brazil, 2013 |
[16] | Terbuthylazine* | 37.6 μg/kg | Arable, 2015 |
[17] | Phenolic herbicide* | 0.4 mg/kg | Bosnia, 2016 |
[18] | AMPA* | 342.75 mg/kg | Mexico, 2018 |
[19] | Glyphosate+ | 27.8 μg/L | USA, 2013 |
[20] | Atrazine+ | 15.66 μg/L | USA, 2008 |
[21] | Glyphosate+ | 1.42 μg/L | Mexico, 2015 |
[18] | Glyphosate+ AMPA+ | ≤5 μg/L 36.8 μg/L | Mexico, 2018 |
Occurrence of herbicides in soil and water samples.
The compounds with an asterisk (*) are found in soil samples, and those with a plus sign (+) are herbicides reported in water.
Occupational health hazards usually refer to the materials and processes that have the potential to cause injury, sickness, and impaired health and affect the well-being and efficiency among workers. Occupational diseases may occur long after being exposed to occupational hazards, such as air contaminants and chemical, biological, physical, and ergonomic hazards, including psychosocial factors as well [5]. In agricultural trade, workers are exposed to numerous agricultural environment aerosols, including herbicides.
People who have been exposed to herbicides occupationally, or by eating foods or liquids containing herbicide residue, or for that matter inhaled herbicide-contaminated air, have experience a broad range of chronic health effects, including impaired neurobehavioral function (e.g., cognitive and behavioral disorders), Alzheimer’s and Parkinson’s diseases, hormone disruption, asthma, allergies, hypersensitivity, obesity, diabetes, hepatic lesions, kidney failure, multiple sclerosis, and cancer [3, 23, 24, 25].
Many studies related to the occupational herbicide exposure of agricultural workers exist. Neurobehavioral symptoms among participants appear to be associated with cumulative exposure [26]. Pesticide poisoning and suicides are very high in developing countries and rural environments. Suicides influenced by pesticides have been largely reported among agricultural workers; evidence exists that indicates that pesticides induce such behavior [25, 27]. Some organophosphates, for example, paraquat and glyphosate, inhibit the cholinesterase activity in the nervous system, whereby this irreversible inhibition can produce cerebral damage such that cholinergic neurons are injured and can be responsible for neuropsychiatric and neurobehavioral disorders, including memory, cognitive, mental, emotional, motor, and sensory deficits [28].
It has long been established that Alzheimer’s development is exacerbated from occupational exposure to organophosphates. Chin-Chan [29] determined that the risk of Alzheimer’s is higher in those who have had occupational contact. The herbicides induce oxidative stress which in turn produces the activation of calpains and then caspases, a known link to Parkinson’s disease [30].
The inhibition of acetylcholinesterase in the hypothalamus after organophosphate exposure alters the secretion rate of gonadotropin-releasing hormone by affecting the secretion of pituitary hormones that stimulate the gonads (gonadotrophic hormones), including folio-stimulating and luteinizing hormones. The relationship between exposure to pesticides and anomalies in the functional structure of the seminal cells was checked [31].
A relationship between hypothyroidism and the use of organochlorine insecticides, fungicides, and herbicides has been found [32]. The organophosphates, by themselves, are capable of interfering with endocrine function by inhibiting the binding of thyroid hormones to their corresponding receptors.
Occupational exposure to pesticides can represent a serious risk to the respiratory system. Spirometry was performed in workers occupationally exposed to pesticides in various developing countries and revealed a significant decrease in the lung function parameters [33]. Another study evaluated the association between allergic and non-allergic wheeze and pesticides and found significant differences than implicate organophosphates and pyrethroids that are commonly used in agricultural and residential settings with adverse respiratory effects [34].
The organophosphates can affect the immune response, including the production of antibodies and of interleukin 2, T-cell proliferation, decrease of CD5 cells, increase of CD26 and autoantibodies, alteration of Th1/Th2 cytokines, inhibition of NK cells and the lymphocyte-activated killer cells, and the cytotoxic activity of the T lymphocytes. The oxidative stress can be produced by a wide range of factors among which the pesticides are found [35]. In this sense, Simoniello [36] showed that agricultural workers of the Pampas region in Argentina exposed to pesticide mixtures presented modifications in the oxidative equilibrium and enzymatic alterations.
It has been shown that there is an association between exposure to pesticides and a high incidence of metabolic syndrome, insulin resistance, and diabetes. The pesticides affect the cellular metabolism of carbohydrates and lipids and can lead to insulin resistance and alterations in glucose homeostasis [37]. Organochloride compounds are persistent and remain in the body for a long period. The presence of multiple chlorine atoms in its structure increases its lipophilicity and results in accumulation in adipose tissue. Several studies have explored the possible relationship between the concentration of organochlorides and obesity [38].
Organochlorides are associated with peripheral arterial disease, particularly in people suffering from obesity, the idea being that dioxins are supported after binding to AhR and induce inflammation, hypertension, and arteriosclerosis [39].
The use of herbicides is uncontrolled in many developing countries. Herbicides can cause toxic effects on agricultural workers’ health, both by their direct and indirect action (inhalation, dermal or oral exposure) [10]. Long-term and acute occupational exposure to herbicide among agricultural workers produces a charge or a cost to the countries [40]; the study of Buendía [41] reports that the average cost per patient intoxicated by paraquat exceeds that of various chronic diseases prevalent in Colombia. The social and economic impact on health could contribute significantly to the global public health problem. The increased morbidity includes lower quality of life and functional status.
The Organisation for Economic Co-operation and Development (OECD) offers “the Index for a Better Life” which measures people’s quality of life and compares it among countries, based on the personalized management of the priorities of each individual [42]. In developing countries increase the poverty of the population, due to the low remuneration, for example, in the research of Cely-Andrade [43] reports that in mining zones exist the worst quality of life-related to health than agricultural areas, however the mining works are better paid, although economic growth does not accurately represent human well-being, the economic dimension is a key dimension of rural prosperity and farmers consider that economic resources increase the chances of improving their quality of life.
The monitoring of human groups exposed to chemical agents with the potential to cause damage to the organism is aimed at preserving health and quality of life especially of those populations that are at high risk. Many studies of the exposure of herbicides in agricultural workers exist; one of the most common, biomonitoring, is searching the chemicals in the urine of the people living in agricultural areas. In Table 2 the most recent studies about the concentrations of herbicides in people from rural areas are shown.
Reference | Method | Participants and precedence | Reported concentrations in urine |
---|---|---|---|
[38] | ELISA | Agricultural workers in Costa Rica | 6.3 μg/24 h of paraquat |
[44] | HPLC–MS/MS | Students in Thailand | 2,4-D |
[45] | ELISA | Children in Nicaragua | 0.9 μg/g Cr 2,4-D |
[46] | LC–MS/MS | Agricultural workers in Croatia | 0.3 to 8.0 μg/g Cr atrazine |
[47] | HPLC-ESI-MS | Farmer family in France | 9.5 μg/L glyphosate |
[48] | LC–MS/MS | Agricultural workers in a rural area from Italy | 2.94 μg/L TBA |
[21] | ELISA | Farmers from Mexico | 0.47 μg/L glyphosate |
[49] | MS | Pregnant women from Ghana | 0.46 μg/L 2,4-D |
[50] | MS | Pregnant women in rural zones of the USA | 3.40 ng/mL glyphosate |
[51] | HPLC–MS/MS | Amenity horticulturists in Ireland | 7.4 μg L−1 glyphosate |
[52] | ELISA | Farmers in Sri Lanka | 0–2.1 mg/g Cr paraquat 48–353 mg/g Cr Glyphosate |
[53] | LC-MS/MS | Farmers in the USA | 4.04 ppb |
[54] | MS/MS | Children and teenagers in Mexico | 2.63 μg/mL glyphosate |
Analysis studies of herbicides in urine from people living in rural areas.
Herbicide exposure is a current problem in public health, especially in developing countries mainly for the following reasons: the main cause of work accidents in agriculture is neglect of safety requirements (28.9%) [55]; workers do not have training for use herbicides and do not use the appropriate personal protective equipment (PPE) for the preparation, application, transportation, and storage [56]. On the other hand, herbicide regulations are less strict or inexistent in developing countries [57], and these chemicals are used by tons because they replace the manual tasks, increasing productive capacity and significantly lowering production costs [10].
The use of pesticides to produce food, both to feed local populations and for exportation, should comply with good agricultural practices regardless of the economic status of a country. Farmers should limit the amount of pesticide used to the minimum necessary to protect their crops [5]. One approach is the large-scale implementation of precision agriculture that utilizes remote sensing and responds in real time to crop resource requirements and to weather and climatic conditions. Also, with the cost being such an important factor in consumer choices, policymakers can seek a market-based solution for modifying consumption patterns by better incorporating the true environmental costs to produce a food item [2].
The sustainable rise includes improving agricultural yields while at the same time abating environmental impacts. Relative to scenarios, less-extreme changes toward reducing meat consumption, waste, and the demand for nonfood agricultural products could greatly reduce the environmental impacts of the food system [58]. A few years ago, the agri-environmental scheme (AES) options were rising; these were established as effective strategies to evading contamination peaks when weed burden is high, whereas more demanding AES options guarantee an overall reduction in herbicide use, even during relatively easy farming years in which less weed pressure is experienced [59].
There are several strategies for controlling weeds; one of the practices is the manual weeding that depends on the workforce and is one of the main causes of the loss of organic matter in the soil, due to the excess of weeding and constant plows, making the soil lose its fertility. Therefore, low-income farmers require using herbicides; however, they do so in an uncontrolled manner. These types of practices are not sustainable options for the protection of the environment and occupational health. Moss [60] in his analysis points out that there are approximately 16 reasons why farmers prefer the use of herbicides and within them are economic factors due to the reduction of labor and rapidity of results, in addition to the lack of training and technology among other points.
Numerous studies have provided substantial knowledge to obtain these objectives, noting that one of the strategies is the minimum tillage; however, it is critical and requires effective management, since changes and resistance can be induced in the same herbs, in addition to greater involvement of economists, social scientists, and marketing professionals [12, 60].
In this sense, it is necessary to promote solutions that improve biodiversity and its environment, in addition to maintaining agricultural production; Figure 1 shows the relationship between the diverse strategies necessary for the sustainable control of weeds.
The main factors that must be involved to achieve sustainable control of the herbs do not benefit the crops.
Farmers are always looking for immediate changes to eliminate weeds; herbicides offer these options, compared to nonchemical strategies that take more time. Some strategies to convince the farmers are to promote crop rotations and field demonstrations, among others, but the most important is to change the farmer mentality which could be achieved by encouraging financial support that could bring about short-term changes [61]; however, attitudinal changes are long-term results that lead to better results.
As was mentioned in Section 3, the global food demand promotes that farmers cannot leave aside the use of herbicides [24]. Consequently, the natural recovery of the soil is not carried out, causing an accumulation of herbicides. This phenomenon is the main factor associated with the development of diseases produced by the chronic exposure of people who work and live in rural areas.
The literature analysis indicates that the health problems of agricultural workers are directly related to environmental pollution due to the unsustainable use of herbicides.
Health problems due to the exposure of agricultural workers to herbicides are a major concern, mainly in developing countries. This concern is due to the fact that the use of herbicides in these regions is indiscriminate and the workers have no prior training for their use, so there are no personal protective equipment regulations, and in developing countries there are few or no regulations to address accumulated concentrations in the environment, and there are no regulated biomonitoring in workers.
In rural areas mainly from developing countries, where there are no exists specific standards for their regulations, there is disturbing environmental contamination by herbicides; in these places are reported numerous diseases related to herbicide exposure, which leads to demand in public health services and hence decrease in the workforce, the worker’s quality of life, and the growth of the country. That is why herbicide distribution companies should commit to indicate to the users/workers the correct management of the herbicides, including application quantities, as well as, the rigorous use of personal protective equipment.
This research showed that exposure to herbicides by agricultural workers and the environmental contamination with these chemicals are problems that can be solved by enforcing establish regulations in rural zones principally from developing countries.
This study was supported by “Programa para el Desarrollo Profesional Docente (PRODEP),” authorization number 511-6/18-8537.
The authors declare no conflict of interest.
Filters play a vital role in numerous microwave applications. A microwave bandpass filter (BPF), in general, is a class of filter that is utilized to operate on the frequency response within the range of frequencies lying between 300 MHz and 300 GHz and allowing the best signal transmission at desired frequencies (passband), while eliminating signals at redundant frequencies (stopband) [1]. Among various techniques to design a bandpass filter, substrate integrated waveguides (SIWs) [2] are becoming more popular recently. SIW is a planar structure that is fabricated by using two periodic rows of conducting cylindrical vias implanted in a dielectric substrate, as shown in Figure 1. Hence, it acts as a bridge between planar and nonplanar technology.
Conventional substrate integrated waveguide.
To design efficient and well-performing wireless systems, there is a great need to design compact, lightweight microwave components. Over the past few years, various SIW miniaturization techniques have been proposed by researchers. Recently, [3] has reviewed the recent trends and various miniaturization techniques of SIW. Recently, folded SIW (FSIW) technique (C & T type FSIW) has been proposed by [4, 5]. Miniaturization was achieved using half mode SIW and Hilbert fractal for 5G applications [6]. Further, [7] proposed a ridge SIW to achieve miniaturization and suppress the harmonics.
From the design Equations [8] for a substrate integrated waveguide (SIW), d as the diameter of the vias and p as distance between the vias known as pitch, the equivalent width of dielectric-filled rectangular waveguide,
Width of SIW,
Also, for choosing the value of
A metamaterial is a word derived from the Greek word—it is a combination of the words “meta” and “material,” in which “meta” means something beyond normal, altered, changed, or something advanced. It is an artificial material designed to obtain the physical properties that do not exist in natural materials. A metamaterial [9] is an artificially engineered material with desirable properties not found in nature. A metamaterial affects electromagnetic waves by having structural features smaller than the wavelength of the medium of electromagnetic interaction. Metamaterials rely mainly on their physical structure to manipulate the electromagnetic waves to exhibit superior characteristics.
In 1999, John Pendry was the first to identify a practical way to make a left-handed metamaterial. Pendry’s theoretical idea was that metallic wires aligned along the direction of a wave could provide negative permittivity (ε < 0), and a split ring with its axis placed along the direction of wave propagation could do so could provide negative permeability. In 2000, Smith et al. reported the experimental demonstration of functioning electromagnetic metamaterials by stacking, periodically, split-ring resonators and thin wire structures as shown in Figure 2.
The array of split-ring resonators plus wire assemblies.
Metamaterials with negative RI have numerous interesting properties. Several physical phenomena are reversed in LH media and at the intersection between LH and RH media due to the opposite sign of phase and group velocities. Some of the effects are:
Reversal of Snell’s law
Reversal of Doppler effect
Reversal of Vavilov-Cherenkov radiation
Lensing effect (convex lenses produce diverging rays, which is opposite to RH lenses)
The time-averaged Poynting vector (S) is antiparallel to phase velocity
Russian scientist Veselago first proposed the metamaterial classification by considering the permittivity, ε, and the permeability, μ of a homogeneous material. The relationship between the refractive index and the constituent parameters ε and μ is given by the formula:
where εr and μr are the relative permittivity and permeability of the material. From Eq. (4), sign ± of n can get 1 in the four cases, which depends on the pairs of the sign of εr and μr. The electromagnetic metamaterials are classified based on each case of the pair sign ε and μ; they are shown in Figure 3.
Metamaterial classification.
In quadrant I, both parameters ε and μ are positive and are called double positive (DPS) or right-handed medium (RHM). In quadrant II, the parameters are ε < 0—negative, and μ > 0—positive, and such material is called epsilon negative (ENG) medium and is represented by plasma. In quadrant III, parameters ε < 0—negative, and μ < 0—negative, this region is called double-negative (DNG) or left-handed medium (LHM), and such material could not be found in nature. The quadrant IV ε > 0—positive, and μ < 0—negative, such material is called μ—negative (MNG), represented by ferrite materials.
A split-ring resonator (SRR) is a type of metamaterial, which is artificially created. SRR cell is made up of a pair of enclosed loops of nonmagnetic metals that split at opposite ends, as shown in Figure 4. When these materials are exposed to the magnetic field of electromagnetic waves, they give strong magnetic coupling unavailable in conventional materials. When SRRs are arranged periodically (array), they provides negative permeability.
Split-ring resonator with its equivalent circuit.
The above structure of SRR is known as edge-coupled split-ring resonator (EC-SRR) structure, which comprises concentric metal split rings printed on the same side of the dielectric substrate. EC SRR benefits of strong magnetic polarizability near resonance and easy fabrication. However, it has certain drawbacks: (i) Its electric size cannot be reduced below one-tenth of wavelength; (ii) it suffers from cross-polarizability/bianisotropic effect. Another type of SRR overcomes these limitations, called broadside-coupled SRR (BC-SRR) [10]. In the BC-SRR configuration, the rings are etched on both faces of the substrate, as shown in Figure 5a. Similar to EC-SRR, charges formed in the lower half of the BC-SRR are the replica of charges formed in the upper half, as shown in Figure 5b. Though this formation of charge does not create an electric dipole, BC SRR is non-bianisotropic. Since both rings are of identical dimension and keep inverse symmetry, for this reason, cross-polarizability tensor vanishes.
Charge distributions in (a) EC-SRR (b) BC-SRR. rext is the outer radius of ring and ro is the inner radius of the ring.
The application of the Babinet principle leads to the origin of its counterpart known as a complementary split-ring resonator (CSRR) in which the rings are engraved on the conductive surface, and its magnetic and electric characteristics are changed when compared with SRR.
A SIW bandpass filter based on edge-coupled CSRRs was proposed for the first time in 2007 by [11]. The SIW filter consisted of the tapered transition line with the CSRR. As SIW possesses high-pass characteristic, whereas a CSSR manifests band-stop characteristic, therefore by integrating CSRR with SIW, a bandpass SIW filter is designed. Figure 6 depicts the structure of SIW with CSSR etched in the top side of the substrate.
(a) Top and (b) bottom view of basic unit cell [
Figure 7 depicts the equivalent lumped equivalent circuit for Figure 6. CSRRs etched in the center are excited by the electric field induced by the SIW. Therefore, this coupling can be labeled by connecting the SIW capacitance to the CSRR. In these models, L is the inductance of SIW vias, and C is the coupling capacitance between the CSRR and SIW. The resonator is represented by a parallel LC tank, where Lc and Cc represent the reactive elements, and R accounts for losses.
The equivalent circuit model.
Figure 8a shows the dimensional geometry of the proposed SIW-CSSRs bandpass filter [11], and Figure 8b shows the photograph of the fabricated design. The substrate used in the filter is RT/Duroid 5880, with a permittivity of 2.2 and a height of 0.254 mm.
(a) Dimensional layout of BPF and (b) fabricated BPF [
Figure 9 compares the simulated and measured results of the filter. The measured insertion and return losses are about 2.16 dB and 11.6 dB, respectively. The filter shows a wide bandwidth ranging from 6.2 to 8.6 GHz (FBW of 32.4%).
Comparison of simulated and measured results [
The effect of changing the orientations of the CSRR ring was exhaustively studied by [12], which was verified by simulations and experiments that modify CSRR’s orientations, different passband characteristics can be obtained. The orientation was specified with respect to the direction of the outer ring’s split, as shown in Figure 10. Hence, they are aligned face to face, back to back, and side by side. The side-by-side type has also been divided into two cases with the CSRRs reversely or equally oriented.
Configurations of various SIW-CSRR unit cells in which the CSRRs are: (a) face to face, (b) back to back, (c) side-by-side reversely oriented, and (d) side-by-side equally oriented.
After simulation of various orientations, it was found that by altering the configuration of the CSRRs in a particular position (face-to-face orientation), the propagation of TE10 mode can be suppressed, resulting in enhanced selectivity and stopband rejection of the filter. The waveguide width was chosen as w = 12.3 mm to keep the cutoff frequency of the initial SIW at about 8.7 GHz. The Rogers substrate RT/Duroid 5880 with a thickness of 0.508 mm and a relative permittivity of 2.2 is used in the design. The metalized vias have a diameter of 0.8 mm and a center-to-center spacing of 1.48 mm.
After the simulation of various configurations, it was found that the unit cells with face-to-face and back-to-back oriented CSRR exhibit a similar kind of passband with one transmission zero and one pole located above the passband. Nonetheless, for the second case, the transmission zero is close to the pole leading to a steep upper side transition but with large insertion loss due to the weak coupling. For the third case, two rings are arranged side by side in opposite directions, and two transmission poles with two transmission zeros in the upper band are achieved. The propagation is quite weak for the fourth case due to weak magnetic coupling.
Eventually, a two-stage filter using the unit cell aligned face to face is simulated and fabricated using Rogers RT/Duroid 5880. A distance of 8.8 mm separates the two cells. The proposed bandpass filter achieves one transmission zeros at 6.4 GHz in the upper band, resulting in high selectivity and a wide upper stopband. The two-pole filter has a measured center frequency of 5.0 GHz and a 3-dB bandwidth of 0.33 GHz (3.2% FBW).
Recently, a novel bandpass filter using diamond-shaped edge-coupled CSRR was proposed [13]. This section discusses the design methodology of single-stage and two-stage bandpass filters with diamond-shaped EC-CSRR structures.
The physical construction of CSRR is shown in Figure 11, where the upper orange part is conducting layer, and the light gray part is the substrate. The CSRR structure consists of two diamond-shaped split resonant rings with their openings opposite (face to face) to each other for tight coupling between them. As CSRRs are integrated with SIW, a passband with an evanescent resonant mode lower than the SIW’s cutoff frequency is created, miniaturizing the size of the conventional SIW [13]. Figure 11 shows the dimensional view of a single-stage SIW filter loaded with diamond-shaped CSRR. The optimized dimensions of filter are: length of single-stage SIW LSIW = 10 mm, width of SIW WSIW = 8.5 mm, the inner radius of ring R1 = 1.0 mm, the outer radius of ring R2 = 1.6 mm, the thickness of ring T = 0.25 mm, the gap between open ends of outer ring G = 0.40 mm, the perpendicular distance between outer rings S = 1.25 mm. Figure 12 shows the frequency response of single-stage CSRR incorporating SIW filter. The figure shows that in a single-stage SIW filter, one passband is formed with a center frequency of 8.75 GHz, below the waveguide cutoff frequency causing miniaturization by approximately 33%. The passband has 3-dB bandwidth of 0.42 GHz with an in-band insertion loss of 0.62 dB. The maximum value of return loss is −24.4 dB. Also, the stopband created has a high rejection level at the upper stopband.
Schematics of single-stage SIW BPF.
Frequency response of single-stage SIW BPF.
The two-stage filter is proposed to improve the passband and stopband performance of the filter, as shown in Figure 13. The length of the two-stage SIW filter is taken as LSIW
Schematics of two-stage SIW BPF.
(a) Current distribution in the passband. (b) Current distribution in the stopband.
Figure 15 shows the simulated frequency response of two-stage SIW BPF. The response clearly shows that one passband is formed with two poles and transmission zero. The passband has a center frequency of 8.86 GHz with 3-dB bandwidth of 0.74 GHz and an in-band insertion loss of 0.48 dB. The maximum return loss is −29.4 dB. Further, the stopband rejection is more than 60 dB, which is relatively better than a single-stage filter. In the second stage of transmission, zero is in proximity to poles leading to a high roll-off rate of 72.5 dB/GHz and 40.5 dB/GHz at the upper and lower edge, respectively.
Frequency response of two-stage SIW BPF.
A novel SIW BPF using broadside-coupled complementary split-ring resonator (BC-CSRR) pairs was implemented for the first time by [14]. Figure 16 (left) shows the structure of the BC-SRR (broadside-coupled split-ring resonator. It can be derived from EC-SRR by substituting one of the rings with another ring situated precisely at the opposite side of the substrate. From the duality principle, the negative image of the BC-SRR is termed as the broadside-coupled complementary split-ring resonator (BC-CSRR), as shown in Figure 16 (right).
Broadside-coupled SRR (BC-SRR), left and broadside-coupled CSRR (BC-CSRR), right.
Figure 17 depicts the layout of the proposed SIW BC-CSRR. It is evident that two BC-CSRRs are aligned side by side with opposite orientations to each other. A microstrip feed line is used to excite the SIW cavity. For the selected dielectric substrate with ɛr = 2.65 and waveguide cutoff frequency of 8.15 GHz, the width of the SIW (w) is calculated to be 12.5 mm. Figure 18 shows the simulated transmission response for the SIW integrated with the unit cell. It is evident from the response that it creates a passband with a center frequency of 5.6 GHz, which is below waveguide cutoff frequency.
Structure of the proposed SIW BC-CSRR unit cell [
Simulated frequency response of the original SIW and SIW BC-CSRR pair [
Figure 19 depicts the proposed two-stage BC-CSRR BPF with separation between rings (
Structure of the proposed SIW BC-CSRR unit cell [
Figure 20 shows the photograph of the fabricated filter using a substrate with ɛr = 2.65 and a thickness of 1 mm. Figure 21 compares the simulated and measured frequency response of the BPF. The measured center frequency and 3-dB bandwidths are 5.75 GHz and 0.32 GHz, respectively. The measured in-band return loss is below 12 dB. The dimension of the filter is 20 mm x 13 mm (0.38 x 0.25 λo2).
Snapshot of the SIW BPF with BC-CSRR pairs [
Comparison of simulated and measured result [
This work [15] proposes the design of a substrate integrated waveguide (SIW) bandpass filter (BPF) incorporated with a novel broadside-coupled complementary split-ring resonator (BC-CSRR). The complementary double S shape as metamaterial is carved on the top and broad bottom walls of SIW with orientation 180o to each other. The proposed filter is designed for X band using substrate alumina with a relative permittivity of 9.8 and height of 0.508 mm. Further, the width of the SIW, WSIW is set to 5.4 mm to keep the nominal cutoff frequency of the waveguide to 10 GHz using SIW design equations.
For designing the proposed S-shaped metamaterial, a double S-shaped structure was placed one above the another in an antisymmetrical manner over a dielectric layer forming a shape of 8 [16]. S on both sides of the dielectric forms metamaterial that simultaneously provides negative permeability and permittivity. The side length of the S shape is kept equal to λg/4 (A = 2.25 mm), and thickness T is kept equal to 0.35 mm, as shown in Figure 22.
Geometry of S structure.
Figure 23 depicts the setup to get S parameters of complementary S-shaped metamaterial using HFSS. For this, two-layered dielectric substrates (alumina) having relative permittivity 9.8 of thickness 0.508 mm are stacked over each other. The S-shaped structure is placed on the opposite side of the top dielectric substrate one above the other (in a complementary manner) to form Figure 8. A 50 Ω microstrip line is provided at the bottom of the lower substrate.
Geometry of double “S”-shaped structure with microstrip line at the bottom.
In HFSS, first, simulate the metamaterial structure by providing the solution frequency. Then get S-parameters (S11, S21) in tabular form as follows:
Result- > Create Modal Simulation Data Report - > Data Table.
Create a data table for S(1,1) containing magnitude and angle in rad (phase).
Similarly, create a data table for S (2,1). These files have extension .csv (comma-separated values).
Export these .csv files to the same folder where MATLAB code is kept. Now, call these files S(1,1).csv and S(2,1).csv in parameter extraction MATLAB code [17] in function referred as DATA_READ specifying the path locations of files.
Successful execution of MATLAB code [17] for the parameter extraction results led to permittivity and permeability, as shown in Figure 24. The graph indicates that the permeability and permittivity are negative simultaneously for the frequency range between 7.25 GHz and 9.15 GHz. It illustrates that the structure has metamaterial characteristics for the frequency range between 7.25 GHz and 9.15 GHz.
Graph of real values of μ and ε.
Figure 25 shows single-stage BC-CSRR BPF, which has a pair of identical “S”-shaped etched on the SIW top and broad bottom walls but at 180° to each other. A tapered microstrip feed line has been used for exciting the SIW. The design parameters are taken as: WSIW = 5.4 mm, LSIW = 4.2 mm, P = 1.6 mm, D = 0.8 mm, LT = 4 mm, WT = 2 mm, LM = 2 mm, WM = 0.50 mm, A = 2.25 mm, and T = 0.35 mm.
Schematics of single-stage SIW BC-CSRR BPF.
Figure 26 shows the equivalent circuit of the single-stage BC-CSRR BPF. The equivalent circuit of the S-shaped SRR structure is given by [18], in which S-SRR is modeled by a series L-C circuit in each half ring of the eight-shaped structure through a common capacitor. Since CSRR is complementary to the SRR structure, the equivalent circuit of single unit BC-CSRR will be dual of S-SRR. The metallic vias of the SIW are modeled as Lv.
Equivalent circuit of BC-CSRR BPF.
Figure 27 shows the simulated result of the equivalent lumped circuit using ADS.
Frequency response (S11) of an equivalent lumped circuit of single-stage BC-CSRR SIW filter.
Figure 28 shows the frequency response of single-stage BC-CSRR incorporated SIW filter. The figure shows that by etching the S structure in SIW, a passband is obtained with a center frequency of 8.2 GHz and 3-dB bandwidth of 0.15 GHz. The maximum return loss is 21.55 dB, and insertion loss is 0.32 dB at the center frequency. It can be seen that the resonant frequency of the SIW BC-CSRR element is well below the cutoff frequency of the original SIW, causing its miniaturization.
Frequency response of single-stage BC-CSRR SIW filter.
In order to improve roll-off factor and order of filter, cascaded connection [19] of two identical BC-CSRR structures is used to form two-stage BPF. Figure 29 shows the structure of two-stage BC-CSRR BPF with design parameters taken as: WSIW = 5.4 mm, LSIW = 4.2 mm P = 1.6 mm, diameter of via D = 0.8 mm, LT = 4 mm, WT = 2 mm, LM = 2 mm, WM = 0.50 mm, A = 2.25 mm, T = 0.35 mm, and L = 4.25 mm.
Schematics of two-stage SIW BC-CSRR BPF.
The distance (L) between two BC-CSRRs has a vital influence on the performance of the proposed two-stage filter. Figure 30 shows the parametric analysis of return loss with varying values of L (for L = 3.25, 3.75, 4.25, 4.75, 5.25 mm). It is clear from Figure 30 that the filter shows optimum performance for L = 4.25 mm. For other small or big values of L, its response becomes undesirable.
Parametric analysis of return loss for varying side length “a.”
Figure 31a and b depicts the current distribution in passband and stopband, respectively. As seen from the current distribution, it is clear that when the filter is passing the signal, the center resonator is resonant and has a large current that couples the signal through to the output.
Current distribution in (a) passband and (b) stopband.
Figure 32 shows the frequency response of two-stage BS-CSRR. From the response, it can be observed that a passband with 3-dB bandwidth of 0.385 GHz is obtained. The simulated insertion loss is 0.32 dB, and the simulated roll-off rate at the lower and upper edge of the passband is calculated to be 78.26 dB/GHz and 65.5 dB/GHz, respectively. The maximum return loss value is 24.85 dB at the center frequency of 8.4 GHz with a 3-dB bandwidth of 0.38 GHz.
Frequency response of single-stage BC-CSRR SIW filter.
The proposed filter is fabricated using substrate material alumina with a relative dielectric constant of 9.8, tan δ = 0.001, and thickness of 0.508 mm to validate the result. Figure 33a and b shows the photograph of the top and bottom layer of the assembled filter with overall dimensions as 10 mm (length excluding transition) × 8.5 mm (width).
(a) Top and (b) bottom view of the fabricated bandpass filter.
The scattering parameters of the fabricated filter are measured by a vector network analyzer Anritsu S 820E. A two-port SOLT (short- open- load and thru) calibration has been done to consider cable losses between the VNA and the DUT. The measured and HFSS simulated results are compared and depicted in Figure 34a. It can be seen that the measured passband of the filter is from 8.20 GHz to 8.74 GHz with 3-dB bandwidth of 0.54 GHz. The maximum return loss value is 17.2 dB with an insertion loss of 0.92 dB in almost the entire passband. It achieves good attenuation (>20 dB) in the upper stopband. The measured roll-off rate is 58.5 dB/GHz and 60.2 dB/GHz at the lower and upper edge of the passband, respectively. Figure 34b depicts the simulated and measured VSWR plot for the entire range.
Comparison of (a) the simulated and measured result S parameters and (b) VSWR.
The metamaterials can be applied to enhance bandwidth, create a compact structure or multifrequency bands, etc. In this chapter, various compact and selective CSRR integrated SIW bandpass filters have been analyzed, demonstrating their performance. To apply metamaterials, the first step is to design their unit cells, creating special metamaterial properties at the desired frequency. The size of the unit cells is calculated, simulated, and optimized using the HFSS software. First, three edge-coupled CSRR (EC-CSRR) BPFs have been analyzed for the design and performance. Then two broadside-coupled CSRR (BC-CSRR) BPFs have been analyzed elaborately and evaluated for performance.
This work was carried out during the tenure of ‘The European Research Consortium for Informatics and Mathematics (ERCIM) Alain Bensoussan’ Fellowship’ programme.
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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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At present, power system needs an advance and intelligent technology to perform various system level tasks. Centralized control of the system has efficient operation during integration of the renewable resources and lag of communication between the stations. Smart grid provides the intelligent and efficient power management system. Upgrade of present power system with multi-agent system (MAS) provides the solution for most of the power system issues. More number of MAS are used in the power system network based on acquires of the system. MAS are communicating with each other for the more acquired result. Better implantation of MAS can achieved by providing the high speed and secured communication protocol. 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Tamil Selvi",authors:[{id:"292525",title:"Mr.",name:"Satheeshkumar",middleName:null,surname:"G S",slug:"satheeshkumar-g-s",fullName:"Satheeshkumar G S"},{id:"293451",title:"Ms.",name:"Tamil",middleName:null,surname:"Selvi S",slug:"tamil-selvi-s",fullName:"Tamil Selvi S"}]},{id:"12646",title:"Time-Invariant Motion Planner in Discretized C-Spacetime for MRS",slug:"time-invariant-motion-planner-in-discretized-c-spacetime-for-mrs",totalDownloads:2125,totalCrossrefCites:2,totalDimensionsCites:3,abstract:null,book:{id:"11",slug:"multi-robot-systems-trends-and-development",title:"Multi-Robot Systems",fullTitle:"Multi-Robot Systems, Trends and Development"},signatures:"Fabio Marchese",authors:[{id:"13536",title:"Ph.D.",name:"Fabio",middleName:"Mario",surname:"Marchese",slug:"fabio-marchese",fullName:"Fabio Marchese"}]},{id:"68568",title:"A Q-Learning-Based Approach for Simple and Multi-Agent Systems",slug:"a-q-learning-based-approach-for-simple-and-multi-agent-systems",totalDownloads:670,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"This study proposes different machine learning-based solutions to both single and multi-agent systems, took place on a 2-D simulation platform, namely, Robocode. This dynamic and programmable platform allows agents to interact with the environment and each other by employing a variety of battling strategies. Q-Learning is one of the leading and popular machine learning-based solutions to be applied to such a problem. However, especially for continued spaces, the control problem gets deeper. Essentially, one of the main drawbacks of reinforcement learning (RL) is to design an appropriate reward function that the function can be described by only employing few parameters for simple tasks, whereas estimating the goal of the reward function may be a challenging problem. Recent studies prove that neural network-based approaches can handle these challenges and achieve to learn control strategies from 2-D or 1-D data. Besides those problems of RL algorithms for single robots, once the number of robots increases and the systems need to behave as multi-agent systems, the overall design requirements become more complex. Accordingly, the proposed system is validated by considering different battle scenarios. The performance of the Q-Learning-based system and the supervised learning techniques are compared by employing different scenarios for this problem. Results reveal the superiority of the ANN-based approach over other methods.",book:{id:"8872",slug:"multi-agent-systems-strategies-and-applications",title:"Multi Agent Systems",fullTitle:"Multi Agent Systems - Strategies and Applications"},signatures:"Ümit Ulusoy, Mehmet Serdar Güzel and Erkan Bostanci",authors:[{id:"168131",title:"Dr.",name:"Mehmet",middleName:"Serdar",surname:"Guzel",slug:"mehmet-guzel",fullName:"Mehmet Guzel"},{id:"296744",title:"Dr.",name:"Ümit",middleName:null,surname:"Ulusoy",slug:"umit-ulusoy",fullName:"Ümit Ulusoy"},{id:"296745",title:"Dr.",name:"Erkan",middleName:null,surname:"Bostanci",slug:"erkan-bostanci",fullName:"Erkan Bostanci"}]},{id:"70262",title:"Multi-Agent Systems Based Advanced Energy Management of Smart Micro-grid",slug:"multi-agent-systems-based-advanced-energy-management-of-smart-micro-grid",totalDownloads:807,totalCrossrefCites:1,totalDimensionsCites:3,abstract:"Microgrids play a major role in enabling the widespread adoption of renewable distributed energy resources. However, as the power generated from renewable resources is intermittent in nature, it impacts the dynamics and stability of the microgrid, and hence their integration needs new approaches to coordination and control. The existing systems lack run-time adaptive behavior. To face these constraints, the electric energy system must adapt by integrating Information and Communication Technologies (ICT). Multiagent system (MAS) is emerging as an integrated solution approach to distributed computing, communication, and data integration needs for smart grid application. Distributed and heterogeneous information can be efficiently processed locally, but utilized globally to coordinate distributed knowledge networks, resulting in reduction of information processing time and network bandwidth. Parallel operations, asynchronous communication, and autonomous actions of agents enable MAS to adapt to dynamic changes of the environment, thereby improving the reliability, responsiveness, fault tolerance, and stability of the microgrid. In this chapter, MAS is implemented with Java Agent DEvelopment (JADE) framework for advanced energy management of a microgrid. Also, MAS is linked with Arduino microcontroller for practical verification of agent operations. Three microgrids are interconnected to form a microgrid testbed, and smart grid features such as demand side management and plug and play are implemented, making it into a smart microgrid.",book:{id:"8872",slug:"multi-agent-systems-strategies-and-applications",title:"Multi Agent Systems",fullTitle:"Multi Agent Systems - Strategies and Applications"},signatures:"Leo Raju and Antony Amalraj Morais",authors:[{id:"296152",title:"Dr.",name:"Leo",middleName:null,surname:"Raju",slug:"leo-raju",fullName:"Leo Raju"},{id:"308984",title:"Mr.",name:"Antony Amalraj",middleName:null,surname:"Morais",slug:"antony-amalraj-morais",fullName:"Antony Amalraj Morais"}]}],onlineFirstChaptersFilter:{topicId:"1263",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:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,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:19,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,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. 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",coverUrl:"https://cdn.intechopen.com/series/covers/3.jpg",latestPublicationDate:"May 13th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:8,editor:{id:"419588",title:"Ph.D.",name:"Sergio",middleName:"Alexandre",surname:"Gehrke",slug:"sergio-gehrke",fullName:"Sergio Gehrke",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038WgMKQA0/Profile_Picture_2022-06-02T11:44:20.jpg",biography:"Dr. Sergio Alexandre Gehrke is a doctorate holder in two fields. The first is a Ph.D. in Cellular and Molecular Biology from the Pontificia Catholic University, Porto Alegre, Brazil, in 2010 and the other is an International Ph.D. in Bioengineering from the Universidad Miguel Hernandez, Elche/Alicante, Spain, obtained in 2020. In 2018, he completed a postdoctoral fellowship in Materials Engineering in the NUCLEMAT of the Pontificia Catholic University, Porto Alegre, Brazil. He is currently the Director of the Postgraduate Program in Implantology of the Bioface/UCAM/PgO (Montevideo, Uruguay), Director of the Cathedra of Biotechnology of the Catholic University of Murcia (Murcia, Spain), an Extraordinary Full Professor of the Catholic University of Murcia (Murcia, Spain) as well as the Director of the private center of research Biotecnos – Technology and Science (Montevideo, Uruguay). Applied biomaterials, cellular and molecular biology, and dental implants are among his research interests. He has published several original papers in renowned journals. In addition, he is also a Collaborating Professor in several Postgraduate programs at different universities all over the world.",institutionString:null,institution:{name:"Universidad Católica San Antonio de Murcia",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:8,paginationItems:[{id:"7",title:"Bioinformatics and Medical Informatics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",slug:"slawomir-wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",biography:"Professor Sławomir Wilczyński, Head of the Chair of Department of Basic Biomedical Sciences, Faculty of Pharmaceutical Sciences, Medical University of Silesia in Katowice, Poland. 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He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). 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He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}}]}},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. The motor of the society is the industry and the research of this topic has to be empowered in order to increase and improve the quality of our lives.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11418,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. 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