\r\n\tDigital images can be easily distorted by noise during the acquisition, processing, and transmission. Noise level is an important parameter to consider in image processing algorithms, including denoising, compression, feature extraction, motion estimation, optical flow, segmentation, super-resolution, and image quality assessment. Their performance depends on the accuracy of the noise level estimate.
\r\n\r\n\tImage denoising is an important stage to improve the accuracy of many image processing techniques, such as image segmentation and recognition. Image segmentation is another important stage in computer vision applications. Many methodologies utilize both stages in a unique algorithm to solve the problem of the segmentation of noisy images to provide better classification and recognition compared to algorithms that independently use these two stages.
\r\n\tThe goal of this book will be to collect original research chapters that develop or apply new theories and/or hardware or software to process the acquired noisy images to solve the problem of Segmentation of noisy images in the field of medical imaging, remote sensing, engineering, and other research applications.
In the aeronautical industry, aircraft weight reduction is essential to meet environmental and cost requirements related to lower emissions and fuel consumption. The use of innovative light-weight materials such as fiber-reinforced plastics (FRP) has then significantly increased in recent aircraft components [1].
\nThe assembly of FRP components for the aeronautical industry is generally performed by means of mechanical joining processes like riveting, which offer higher performance and less challenges compared to welding and adhesive joining techniques. As a consequence, hole making is a central process since a large number of holes is required to allow for riveting of aircraft components. Mechanical drilling using conventional or innovative drill bits is the most commonly employed hole making process for FRP components, although alternative nontraditional machining processes, such as laser and water-jet machining, have been developed in the last years [2, 3].
\nDespite the large application of FRP mechanical drilling processes, still efforts are required to optimize them since tool wear typically develops very fast, and severe damages can be easily generated on the workpiece, affecting material integrity and surface quality [4, 5, 6, 7].
\nNumerous critical defects such as geometric/dimensional errors, entry/exit delamination, interlaminar delamination, fiber pullout, uncut fibers, spalling, and cracking and thermal damage can be generated by drilling of FRP laminates [8, 9, 10, 11]. Drilled holes of low quality result in out-of-tolerance assembly and long-term weakening of structural properties, which are not acceptable in the aeronautical sector. Tight geometrical/dimensional tolerances and surface integrity need to be met as they are a key requirement to guarantee the functionality of the assembled components.
\nIn the last years, several research studies have investigated the role of drilling process parameters, including cutting speed, feed rate, drill bit geometry, and composition, on the output product quality, with particular reference to carbon fiber-reinforced plastic (CFRP) laminates, which are the most commonly utilized in aerospace applications [1, 12].
\nDifferent types of tools, distinguished by diverse geometry and material, have been investigated for FRP composite drilling. A complete analysis of delamination produced by drills of different geometry, including traditional twist drills and innovative drills as candle stick drill, saw drill, core drill, and step drill was reported in [13]. To reduce the high wear rate of the sintered carbide drills, TiN and DLC coatings were employed in [14] for drilling of CFRP laminates, studying material damage, thrust force, and torque generated during processing. The experimental results showed that tool wear or damage was not significantly improved by using coatings. In [15], the performance of uncoated and diamond-coated carbide tools was investigated: the diamond coating provided significantly better results achieving a tool life 10–12 times higher than uncoated carbide drills and much higher cutting speeds (170 m/min against 56 m/min).
\nDrilling of CFRP laminates was also investigated in [16] to identify the most suitable drilling parameters satisfying the hole quality requirements, including surface integrity and roughness, hole roundness and diameter error, showing that the thrust force and the delamination damage were in agreement with the tool wear zones.
\nThe studies in [17] on high speed drilling of CFRP laminates using K20 carbide drill bits under different drilling parameters (spindle speed and feed rate) showed that feed rate has a major influence on thrust force, push-out delamination, and hole diameter, whereas spindle speed is one of the key factors of the drilled hole roundness.
\nA thorough study on the cutting mechanism and the influence of cutting parameters on delamination in CFRP drilling was presented in [18], showing that thrust force is highly dependent on feed rate because higher feed rates cause greater undeformed chip thickness, while delamination is dependent on both spindle speed and feed, and the effect of feed is amplified at higher spindle speed.
\nEfforts have also been spent to model the thrust force engaged in drilling, recognized as a major factor affecting the quality of drilled holes [15, 19, 20]. However, modeling was most often limited to drilling of unidirectional laminates with simple geometry drill bits, and complex mathematical relationships were required to fully describe the complex mechanisms occurring during drilling of fiber-reinforced plastic laminates.
\nIn this framework, the aim of this chapter is to investigate more complex industrially relevant FRP drilling processes such as drilling of multidirectional CFRP/CFRP stacks for assembly of aircraft fuselage panels, discussing the employment of innovative procedures based on the multiple sensor process monitoring for cognitive tool wear prediction and hole quality assessment.
\nIn the aeronautical industry, in order to assemble two CFRP components, the latter are typically superimposed and then drilled together in a “one-shot” process so as to allow for easier subsequent riveting avoiding misalignment issues. Accordingly, to reproduce the real operating conditions of the aeronautical industry, wide experimental campaigns have been focused on drilling of CFRP/CFRP stacks made by two overlaid CFRP laminates [21, 22, 23].
\nIn the following subsections, drilling of CFRP/CFRP stacks for aeronautical assembly is discussed with reference to experimental studies on the influence of drilling parameters, tool type and geometry on tool wear development, hole quality and surface integrity, and the opportunity to implement advanced sensor monitoring procedures for tool condition monitoring based on the acquisition and processing of thrust force and torque signals.
\nIn the aeronautical industry, the practice for CFRP/CFRP stack drilling is typically based on manual drilling processes, where tools are replaced largely in advance to avoid any risks of material damage due to early tool failure, since severe geometrical and dimensional tolerances need to be met, and surface integrity is crucial. To fully exploit the entire tool life and increase the productivity of the aeronautical industry through a higher automation of drilling processes able to preserve the integrity of the workpiece, a reliable on-line tool condition monitoring procedure is required [21].
\nWith the aim to perform tool condition monitoring in drilling of CFRP/CFRP stacks, different methodologies have been developed [21, 22, 24]. Such methodologies are based on the employment of multiple sensor monitoring systems for the acquisition of thrust force and torque sensor signals to be used for tool wear estimation. The different procedures of advanced sensor signal processing and feature extraction implemented in the time and frequency domain are described in the following sections. On the basis of the features extracted from the force and torque sensor signals, it is possible to develop an artificial neural network (ANN)-based cognitive paradigm for pattern recognition with the aim to find correlations between the extracted sensor signal features and tool condition [21, 22, 24].
\nAdvanced methodologies for tool condition monitoring were developed with reference to an extensive experimental campaign of drilling of CFRP/CFRP stacks for aeronautical industry assembly [21, 22, 23, 24, 25, 26]. The CFRP/CFRP stacks employed in the tests were made of two superimposed symmetrical and balanced laminates of 5 mm each. The laminates consisted of 26 unidirectional prepreg plies made of Toray T300 carbon fibers and CYCOM 977-2 epoxy matrix, with stacking sequence [±452/0/904/0/90/02]s and a 0°/90° fiberglass fabric (80 g/m2) on the top and bottom. Following vacuum bag molding and autoclave curing, the laminates displayed an uneven surface finish on the bag side. To test the hardest condition, as requested by the industry, CFRP/CFRP stack drilling was performed by facing the laminates with their uneven sides [21].
\nThe drilling tests were performed on a CNC drilling center with a 2-flute 6.35 mm diameter with 125° point angle twist drill made of tungsten carbide (WC).
\nTo assess the impact of the cutting parameters on the machinability of the CFRP stack laminates as concern tool wear and hole quality, different cutting conditions were adopted for the experimental drilling tests: feed = 0.11, 0.15, and 0.20 mm/rev; spindle speed = 2700, 6000, and 9000 rpm. For each cutting condition, 60 holes were realized with the same drill bit in order to evaluate the tool wear development.
\nDuring the experimental stack drilling tests, a multiple sensor monitoring system was utilized, consisting of a Kistler-9257A piezoelectric dynamometer to acquire the thrust force along the z-direction, Fz, and a Kistler-9277A25 piezoelectric dynamometer to acquire the cutting torque about the z axis, and T. A National Instruments NI USB-6361 DAQ board was employed to digitalize the analogue signals acquired by the force and torque sensors at 10 kS/s.
\nFigure 1 shows an example of thrust force signal acquired during the CFRP/CFRP drilling tests. Both the force and torque sensor signals displayed high frequency oscillations as those highlighted in Figure 2. This characteristic, not observed when drilling homogeneous and isotropic materials, is associated to the anisotropic nature of the CFRP laminates, which exhibit superior mechanical properties along the fiber directions.
\nThrust force sensor signal in CFRP/CFRP stack drilling (6000 rpm–0.15 mm/rev).
Enlarged thrust force signal: high frequency oscillations (6000 rpm–0.15 mm/rev).
As shown in earlier studies on cutting of FRP composites, the fiber orientation with regard to the cutting direction regulates the mechanism of chip formation and the quality of the cut surface [5]. Based on the angle formed between the cutting edge and the carbon fibers, also known as fiber cutting angle, different cutting modes can be identified [27].
\nIn CFRP drilling, the fiber cutting angle changes during a half revolution of the drill, and the interaction mechanism between the tool and the laminate varies accordingly, causing diverse conditions of mechanical loading and resulting surface quality [27]. As a matter of fact, loading is influenced by cutting edge geometry and cutting mode and therefore varies during a drill revolution, as observed in the sensor signals acquired in CFRP drilling, which display high amplitude oscillations.
\nExperimental studies have been performed with the aim to model the relationship between fiber cutting angle and cutting force in drilling of unidirectional CFRP laminates, obtaining the calculation of force coefficients as a sine wave function of 2θ, where θ is the fiber cutting angle [28]. In [27], in order to investigate the effect of local feed force on delamination in drilling of unidirectional CFRP laminates, a model was proposed by resolving cutting forces into steady and transient components, the first associated to the progressive engagement of the cutting edge, and the second associated to the cutting modes. Drilling of multidirectional CFRP laminates is far more complex: different cutting modes take place at the same time along the cutting edge, due to the diverse fiber orientations of the multiple plies simultaneously cut by the drill cutting edge.
\nBecause of the overlap of different cutting modes in both space and time, the high amplitude oscillations that can be observed in the thrust force and torque signals acquired during drilling of the multidirectional CFRP laminates are the sum of multiple waves having a phase difference dependent on the different fiber orientations (e.g., 0, 45, 90, −45°) and having an amplitude related to the number of plies with same fiber orientations concurrently cut by the drill cutting edge.
\nWith the purpose to explore the complex frequency content of the thrust force and torque sensor signals acquired in the multidirectional CFRP/CFRP stack drilling experimental tests, advanced signal feature extraction in the frequency domain was carried out in [21] with the final objective to find correlations between the extracted frequency domain sensor signal features and the tool wear state. The fast Fourier transform (FFT) algorithm was applied to translate the signals into the frequency domain. Following this transformation, a number of significant peaks were detected at frequencies equal to 1, 2, 3, 4, 5, and 6 times the revolution frequency of the tool. For instance, on the FFT of the thrust force signals acquired in the CFRP/CFRP stack drilling tests carried out at 6000 rpm and 0.15 mm/rev, in which the revolution frequency is 6000 rpm/60 = 100 Hz, the tallest frequency peaks were found at 100, 200, 300, 400, 500, and 600 Hz, that is, 1x-6x the revolution frequency, as visible in Figure 3.
\nSingle-sided amplitude spectrum of thrust force signal (6000 rpm–0.15 mm/rev) [
As regards the torque signals, the tallest frequency peaks were found at 1x-4x the revolution frequency (100, 200, 300, and 400 Hz).
\nThis seemed to confirm the tight connection between the peaks of the signal frequency transform and the effect of the cutting angle variation during the drilling process due to the several fiber orientations in the multidirectional laminates.
\nThe amplitudes of the identified force and torque frequency peaks with increasing number of holes were investigated, showing a notable growth of some of the peaks, as shown in Figure 4 with reference to the thrust force signals of the experimental drilling tests carried out at 6000 rpm and 0.15 mm/rev, suggesting a potential correlation of the frequency peak amplitude with tool wear progression.
\nAmplitude of the peaks detected in the frequency transform of the thrust force signal vs. hole number (6000 rpm–0.15 mm/rev) [
A statistical feature selection procedure based on the Pearson’s correlation coefficient was applied to evaluate the statistical correlation between the extracted features and the output tool flank wear, VB.
\nSubstantial correlations with tool wear state were identified for the following set of features: Fpeak2x, Fpeak4x, Fpeak6x, Tpeak2x, and Tpeak4x. The subset composed the first three features extracted from the thrust force signal displayed the highest correlation with tool wear. The selected features were used to build two different feature pattern vectors, FPV1 and FPV2, to feed cognitive paradigms for the estimation of tool wear. FPV1 was made of three features extracted from the thrust force signal, and FPV2 was a sensor fusion feature pattern vector containing the five features extracted from the thrust force and the torque signals.
\nThe FPVs were fed to three-layer cascade-forward backpropagation artificial neural networks (ANN) to find correlations between the extracted and selected frequency domain sensor signal features and tool wear state through pattern recognition [29]. ANN training was performed using the Levenberg-Marquardt optimization algorithm. Each FPV was associated to its corresponding flank wear (VB) to create input-output vectors for ANN learning. For each drilling condition, 60 input-output vectors (i.e., one for each drilled hole) were built to create the related ANN learning set. Training and testing were performed with different ANN configurations by varying the number of hidden layer nodes. In particular, the number of hidden layer nodes was varied between 3, 6, and 9 for FPV1 and 5-10-15 for FPV2, that is, equal to the 1, 2, and 3 times the number of input features.
\nCross validation of the NN was carried out by means of the leave-k-out method with
The ANN performance was evaluated in terms of mean square error (MSE), that is, the variance of the differences between the VB values predicted by the ANN and the target VB values. The very low MSE values, between 9.82E-07 and 1.57E-05, confirmed the robust correlation between the sensor signal features extracted in the frequency domain and the tool wear, due to the interaction between the drill bit and the anisotropic CFRP material.
\nThrough pattern recognition based on the frequency domain signal features extracted from the multiple sensor monitoring signals, the ANN accurately reconstructed the tool wear curve. Figure 5 presents the reconstructed tool wear curve for the drilling test performed at 6000 rpm and 0.11 mm/rev, obtained by applying the leave-k-out method with
Reconstructed tool wear curve obtained by the ANN trained with the three features extracted from the thrust force signal (6000 rpm–0.11 mm/rev).
Reconstructed tool wear curve obtained by the ANN trained with the five features extracted from the thrust force and the torque signal (6000 rpm–0.11 mm/rev).
For all drilling conditions, the sensor fusion pattern vector FPV2, including frequency domain features coming from both thrust force and torque signals, provided better results than FPV1.
\nThe accurate tool wear curve reconstruction achieved by the ANN can be effectively utilized to determine the end of useful tool life through on-line diagnosis during CFRP/CFRP stack drilling, identifying the transition of the tool flank wear between the second and the third phase of the wear curve.
\nSensor signal feature extraction can also be carried out in the time domain with the aim to find correlations between the extracted sensor signal features and the tool wear state.
\nIn [22], sensor signal feature extraction in the time domain was applied to CFRP/CFRP stack drilling performed with a traditional twist drill bit, usually employed in the aircraft industry and an innovative geometry step drill bit. The traditional tool was a 2-flute 6.35-mm diameter twist drill with 125° point angle and 30° helix angle tungsten carbide (Figure 7a), while the innovative step drill bit was a 2-flute 6.35-mm diameter drill bit with 120° point angle and 20° helix angle made of tungsten carbide (WC) (Figure 7b). Different cutting parameters were used for the experimental drilling tests: three feed values (0.11, 0.15, and 0.20 mm/rev) and three spindle speeds (2700, 6000, and 7500 rpm).
\n(a) Traditional twist drill bit; (b) innovative step drill bit [
A statistical approach in the time domain was applied for feature extraction from the thrust force and torque sensor signals acquired during the drilling tests. The following five statistical signal features were extracted: arithmetic mean, variance, skewness, kurtosis, and signal energy. For each extracted feature, the Spearman correlation coefficient,
Every 10 holes, a magnified picture of the tool was acquired through an optical measuring machine (Tesa Visio V-200) to measure the flank wear [21]. A 3rd order polynomial interpolation of the VB values was applied to reconstruct the tool wear curves for each drill bit under the tested drilling conditions (Figures 8 and 9).
\nTool wear values and interpolated curves. Traditional drill bits.
Tool wear values and interpolated curves. Innovative step drill bits.
The graphical analysis of the selected sensor signal features, with particular reference to the thrust force average (Figures 10 and 11), which is the most correlated feature, shows that the behavior of the features and the behavior of tool wear (Figure 8 and 9) display the same increasing trend with increasing number of holes. The average thrust force is higher for the innovative drill bits.
\nThrust force average vs. hole number. Traditional drill bits.
Thrust force average vs. hole number. Innovative drill bits.
The selected statistical features were employed to construct, for each drilling condition, 60 sensor fusion feature pattern vectors (SFPVs), that is, one for each drilled hole. Each SFPV was built by combining the selected statistical signal features and the corresponding hole number,
To assess the performance of the ANN in properly forecasting the upcoming tool wear values based on a restricted number of initial training input-output vectors and define the smallest number of vectors required to get a reliable tool wear forecast, the number,
The pattern recognition performance was measured by the root mean squared error (RMSE), that is, the sample standard deviation of the differences between the ANN predicted tool wear values and the experimental tool wear values.
\nIn general, the prediction performance improved by increasing
The best and the worst ANN prediction performances were found for the innovative drill bits. In the worst case (2700 rpm and 0.11 mm/rev), a maximum RMSE of 0.0164 for
Worst case ANN forecast: experimental tests at 2700 rpm–0.11 mm/rev with innovative drill bit [
Best case ANN forecast: experimental tests at 6000 rpm–0.20 mm/rev with innovative drill bit [
Even though the ANN prediction can be considered as more demanding in the case of the innovative drill bits, which have a more complex geometry and tool wear development, the ANN performance was still suitable, showing very low prediction errors (minimum RMSE = 0.00023 and maximum RMSE = 0.0164).
\nThe decision making procedure for identifying the end of the tool life based on the ANN prediction can operate in a safe manner, allowing the multiple sensor monitoring procedure to be valuably utilized for on-line tool condition monitoring aimed at the implementation of a condition-based tool substitution strategy instead of a time-based strategy.
\nIn [24], the sensor signal feature extraction methodology in the time domain was applied to drilling of CFRP/CFRP stacks performed using a traditional twist drill bit with different drilling conditions (rotational speed: 2700, 6000, and 9000 rpm and feed: 0.11, 0.15, 0.20 mm/rev).
\nIn this case, thrust force, torque, and acoustic emission sensor signals were acquired during the experimental drilling tests. On these signals, statistical feature extraction and data fusion were implemented to construct sensor fusion pattern vectors in order to make predictions about the state of the tool via artificial neural network-based pattern recognition paradigms. Based on the calculation of the Pearson’s correlation coefficient, five best correlated features were identified (thrust force average, thrust force variance, thrust force skewness, torque average, and acoustic emission average), and they were utilized to form the input sensor fusion pattern vector for ANN pattern recognition. The ANN prediction of tool wear was highly accurate, with an RMSE <4e-3, showing reliable correlations between fused signal features and tool wear level. The reliable predictions of tool wear development can be used to support on-line decision making on drill bit replacement need.
\nMoreover, the prediction of tool wear can be functionally utilized to forecast the quality of the drilled holes. The latter was assessed considering dimensional accuracy and entry/exit delamination, which both have an effect on the performance of the CFRP assembly. Dimensional accuracy was measured with reference to hole diameter error, that is, the difference between actual and nominal hole diameter divided by nominal hole diameter [30]. The entry/exit delamination was assessed with reference to the delamination factor, Fd, that is, the ratio between the diameter of the circle encompassing the damaged area and the nominal diameter of the hole [25].
\nThe drilled hole quality evaluations were utilized to set up a criterion for tool replacement need, which is required when the tool wear is responsible for a drilled hole, the quality of which is no longer acceptable. As the lower limit of the tolerance range corresponds to the nominal diameter of the hole, any negative hole diameter error is unacceptable. For each drilling condition, the occurrence of negative hole diameter errors was detected and associated with the corresponding flank wear value and the exit delamination factor.
\nUnder all drilling conditions, the hole diameter error became negative when the flank wear, VB, reached the typical value of 0.04 mm (see Figure 14). The latter can be used as a threshold to determine the need for tool change due to an undersized hole diameter. For all drilling conditions, the exit delamination factor grew with increasing number of holes and reached a value between 1.3 and 1.4 when the flank wear reached 0.04 mm. This suggests that the flank wear threshold could also be associated with the second hole quality parameter represented by the exit delamination factor.
\nExit diameter error, tool flank wear, and exit delamination (6000 rpm–0.20 mm/rev).
Hence, a correspondence between hole diameter error and exit delamination factor with tool wear level was observed. As a result, via on-line prediction of tool wear during drilling, taking into account the identified flank wear threshold, the cognitive sensor monitoring paradigm can provide diagnosis and prognosis services to support decision making on tool replacement need, which is essential for drilling automation.
\nThis chapter provided an overview of the main challenges related to drilling of fiber-reinforced plastic composite materials which are extensively employed in the aeronautical industry. Rapid tool wear is generated due to the abrasiveness of the reinforcing fibers, and different types of damages affecting material integrity and surface quality, with particular reference to delamination damage generation, are often produced by drilling.
\nWith reference to aeronautical industry applications, where the assembly of CFRP components requires “one-shot” drilling processes so as to allow for easier subsequent riveting avoiding misalignment issues, drilling of CFRP/CFRP stacks made of two superimposed laminates was investigated.
\nBased on a wide experimental drilling campaign, the case studies analyzed the influence of drilling parameters, tool type and geometry on tool wear development, hole quality and surface integrity, and the opportunity to implement advanced sensor monitoring procedures for tool condition monitoring based on the acquisition and processing of thrust force and torque signals.
\nDiverse multiple sensor process monitoring procedures were implemented in the drilling of CFRP/CFRP stacks for the assembly of aircraft components, with the aim to support on-line decision making on tool replacement time through cognitive tool wear estimation and hole quality assessment. The monitoring procedures were based on the acquisition and processing of thrust force, torque, and acoustic emission sensor signals during the experimental drilling tests.
\nWith the purpose to explore the complex frequency content of the thrust force and torque sensor signals acquired in the multidirectional CFRP/CFRP stack drilling experimental tests, advanced signal processing was also carried out in the frequency domain.
\nThe sensor signal processing techniques, comprising signal conditioning, feature extraction in the time and frequency domain and data fusion, were implemented to construct sensor fusion feature pattern vectors—made of sensor signal features coming from sensors of different nature—with the aim to find correlations with tool state via artificial neural network-based pattern recognition paradigms.
\nThe ANN performance results achieved in the case studies indicated that, for all CFRP/CFRP stack drilling conditions, by using sensor fusion pattern vectors made of selected features extracted from force and torque sensor signals, a very accurate ANN prediction of tool wear is achieved. As a matter of fact, these procedures demonstrated reliable correlations between sensor signal features and tool wear level both in the case of the features extracted from the time domain and in the case of the features extracted from the frequency domain.
\nThe prediction of tool wear can be functionally utilized to forecast the quality of the drilled holes. As a matter of fact, a correspondence between exit delamination factor and tool wear transition between the second and third phase of the wear curve was observed. In this transition, an exit delamination factor value, Df = 1.4, was identified and set as threshold beyond which unacceptable hole quality is generated.
\nAs a result, taking into account the identified threshold, cognitive tool wear prediction via artificial neural networks can be used for on-line decision making on tool replacement to avoid unacceptable hole quality.
\nThe Fraunhofer Joint Laboratory of Excellence on Advanced Production Technology (Fh-J_LEAPT UniNaples) at the Department of Chemical, Materials and Industrial Production Engineering, University of Naples Federico II, is gratefully acknowledged for its contribution and support to this research activity.
\nThe authors declare no conflict of interest.
One of the major but somewhat overlooked social problem confronting Nigeria is gender-based slavery, which translates into aggression and violent behaviour. The ancient forms of slavery were abolished several decades back, but have been supplanted by ‘modern-day slavery’. The resurgence manifests in various dimensions, such as peonage (i.e., debt bondage), forced child labour, early and forced marriage, (child) sex trafficking, sex slavery, and illegal detention of young girls in ‘baby factories’ (unlawful maternity and orphanages where children are sold and their mothers serve as ‘economic-slaves, sex-slaves, procreation-slaves, and money-ritual-slaves’).
Eteng
The new or emerging slavery wave has taken completely different dimensions from the ancient forms, despite the abolition and existing punitive measures put in place to grapple with this phenomenon. These modernised forms of slavery flourish on both national and transnational scales and are often driven by globalisation trends. Like other organised economic crimes, such as kidnapping and hostage-taking, Nwadiaro and Nkwocha [4] explained that the problem has been attributed to the rapid urbanisation that was necessitated by the industrialisation of the urban centres. This is because the development of urban centres has destroyed the traditional sense of community that is associated with rural villages and thus undermining the informal mechanism of social control and giving room for various kinds of crime [5].
Although some types of modern-day slavery share certain attributes with trans-Atlantic servitudes, their current patterns and trends have been significantly worrisome in recent times because of the involvement of different classes of people and extreme aggression and violence attached to the criminal enterprise. For instance, Bales [2] stated that human trafficking, like any other forms of contemporary slavery, engenders conditions of modern slavery and severe human rights violations, where victims are exploited for economic gains and sexual gratification, and they remain unable to free themselves from the abusive and exploitative slavery conditions. This usually involves the recruiters, document forgers, brokers, brothel owners, employment agencies, and, in some cases, government officials [3].
Generally, the women population remains the most vulnerable victims, while men are the major perpetrators. But this should not vitiate the fact that men can also be both offenders and victims. Establishing a clear case of gender differentials in the determination of victims and offenders of modern slavery, Bulman [6] explained that women and girls make up more than seven in 10 of the world’s modern slavery victims, while 90% of victims of forced labour in the commercial sex industry are females. ILO reported that, while 71% of trafficking victims the world over are women and girls, 29% are men and boys [7, 8]. This constitutes serious human rights violations and structural violence and aggression targeted against women and girls, and is rather more pronounced in patriarchal cultures. As Eteng and Njemanze [1, 9, 10] observed, patriarchy encourages aggression and violence against women, and thus, such crime as slavery is not unexpected in a society where patriarchy is entrenched. The reason is not farfetched: The system makes women, more than any other population in society, structurally powerlessness, culturally susceptible to harm and abuse, socially excluded, and economically incapacitated.
Indeed, young women and children are the most vulnerable victims of baby factories, human trafficking, peonage, forced marriage, and so on. The children are forced to beg for alms on the streets, hawk, or sell articles of trade in motor parks and on highways, while young boys and girls, on the other hand, are trafficked for domestic servitude, pornographic promotion, exploitative labour, forced prostitution, and such other crimes and criminality [1]. Generally, victims suffer abuse and neglect, harm, mistreatment, exploitation, and extortion, as they try to offset family-accrued debts that put them in bondage or to improve the low socioeconomic conditions that caused their exposure to victimisation. Against this backdrop, this chapter sets out to uniquely explore modern-day slavery as an aggression and violent behaviour in the context of Nigeria, with emphasis on the ever-changing forms, predictors, and risk factors of this social problem. Doing this is a scholarly effort to contribute to the relatively a few existing bodies of knowledge on the phenomenon to understand and explain what works for effective policy direction and interventions.
Complemented with the principles of the political economy perspective, the feminist theory appears suitable to assist in understanding and explaining the gender and crime of modern-day slavery in Nigeria. As attested by extant and current studies [see 1, 5, 10–15], a critical question that often appears in gender literature has been: ‘And what about the women’? Contextually, this question seeks to interrogate the motivation for the exposure of women to the aggression and violent behaviour of baby factories, peonage, early forced marriage, and other slavery conditions. The women’s vulnerability to these crimes is intrinsically found in patriarchy, which describes a power relationship inherent in the structures and social relations within which the subordination and exploitation of women occurs and it is used to explain the institutionalisation of male power and domination over women (Walby, 1980, pp. 173–201 as cited in [11], p. 243). Particularly, Nigeria has been described as a society where the practice of patriarchy is deep-rooted with an unbalanced political economy that deprives children and women of certain rights and privileges but favours their male counterparts [1, 10].
An important radical expression of women empowerment since the inception of the feminist movement worldwide is persistent human rights advocacy as it affects women under patriarchal hegemony. This advocacy has been consistently pursued by several women groups through the mass media, legal battles, demonstrations, social criticisms, and intellectual discourses, as typified by recent happenings in Nigeria and the world over (see [10, 11, 12, 13, 14, 15]). Yet, women are increasingly exposed to aggression and violence that are somewhat unnoticed or sometimes noticed but ignored, because such acts find justification(s) in the culture and traditions of the people. This is where feminism coincides with political economy to further explain the enslavement and exploitation of women. Both theories emphasised contradictions arising from the social, political, and economic arrangements of society. Nigeria has been described as a class-determined and class-structured society that is in perpetual conflict [10]. The contradiction is mostly favourable to men, while children and women are at disadvantage. The reason is not that men are more diligent and resourceful when compared to women, but ‘communal wealth’ is fundamentally determined by the culture and tradition of our society which are strongly patriarchy-oriented.
The expectations of feminism interact with political economy underpinnings to critically analyse gender as a determinant of modern-day slavery in Nigeria. The two theories explain how the sociocultural system provides a framework for dominance and determines class struggle and power relations that detect who (mainly women) to use as slaves under any pretext. Patriarchy breeds both relative and marginal poverty, inequalities, alienation, and social exclusion, with women and children bearing the brunt of this structural violence and aggression [1]. From the political economy perspective, for instance, people of lower-class status experience sociopolitical deprivations, frustration, inequalities, aggression, and violence.
Men are also affected by these challenges, but women are the most vulnerable population; this is so because their plight correlates with patriarchal practices—this also supports the feminist theory. Carlen [16], and Heidensohn [17] explained that male-dominated patriarchal societies encourage exploitation, manipulation, aggression, and violence against women, making it easier and more successful for them to be used in committing the crime. Others agreed that, for a better understanding of the pattern of crime, including slavery and other forms of servitude, the analysis should be inseparably linked to political economy, particularly unemployment, inequality, and patriarchy, which are the characteristic of most capitalist societies [5, 10, 18].
Like political economy variables, the feminist theory addresses the issue of gendered modern-day slavery against the background of gender inequity and gender bias in society. Explanations have been provided by some feminists as to why this is the case. While different brands of feminism attempt to provide a partial and provisional answer to the woman question, they nevertheless intersect to explain ways in which women have been oppressed and suppressed in society (see also [5, 10, 11, 19]). As underscored by the political economy perspective, two main feminist theories are relevant to this research: Marxist and radical feminists.
Like political economy theorists, Marxist feminists strongly believe that the relegation of women is connected to capitalist exploitation of their inherent domestic role. They also recognise the presence of a ‘dominant ideology’ (patriarchy) that places women as primary caregivers in the family and community and which is used to rationalise the low status and wage assigned to women, as well as their deprivation of socioeconomic freedom [11, 20]. The advocates of Marxist feminism argued that the situation of ‘relative powerlessness would have been otherwise were women’s production and gender roles in the family, at the workplace, and in the society not subordinated to those of men’ ([1], p. 96).
Radical feminists see the underlying causes of women’s inequality, gender bias, and inequity as deeply rooted in society. The inequity and gender bias against women, including aggression, violence, and human rights violations, could be traced to the patriarchal system of power relations in highly patriarchal societies, such as Nigeria. Furthermore, they draw attention to the neglect of reproduction and derived subordinate sex role of women in the household, which could be traced to the patriarchal system of power relationships in any given society [20]. Taking advantage of women’s vulnerability and relative powerlessness, perpetrators of modern-day enslavement who are mainly men lure their female victims into the sex trade, baby factories, debt bondage, child labour, and early and forced marriage.
Radical feminists explain that, because of its patriarchal nature, the family could be the main staging point for perpetuating crimes against women. When it comes to decision-making, families could take overpowering decisions, virtually forcing their female children into the sex trade as a way of making quick money to lift the family from poverty. For sex trafficking, persons who are usually induced to perform such acts are most times under-aged, below the age of 18 years. In addition to being subjected to work as economic slaves and to perform other forms of labour such as live-in domestic workers and factory workers, most of the times the female victims of trafficking are forced to work in the sex trade. Consequently, female victims of trafficking suffer double exploitation, both as economic slaves and as sex slaves (United Nations Office on Crime and Drugs, UNODC, [21]).
Still on this, a forced marriage occurs when an individual is coerced, threatened, or tricked to marry without his or her informed consent (The [22]), and this could happen to any gender, male or female, young or old, and is oftentimes involves pressure, abuse, aggression, and violence. It is pertinent to note here that a marriage that is performed under duress and without free and informed consent or free will of both parties could be regarded as a forced marriage. Eteng and Njemanze [9] agreed that a forced marriage could be seen as one in which one or both of the parties involved are married without his or her consent or against his or her will. Forced marriages mainly occur early in life in the form of betrothal and by abduction. A marriage that is forced could be considered as an act of aggression, violence, and violation of the human rights of those affected and is also seen as a form of slavery, as it were.
Modern-day slavery in Nigeria manifests in various forms, but only those ones that seem peculiar and recurring with dire consequences are explained, and they are ‘baby factories’, peonage (debt bondage), and early and forced marriage.
The term ‘baby factory’ is often used by Nigerian journalists to describe criminal activities involving restriction of a person’s movement against such person’s will, forced impregnations, sale of babies, and illegal adoptions [23]. Policy interventions and scholarly efforts aimed at understanding and explaining the problem are inadequate. Even data on the crime of baby factories are hardly found in the academic literature; rather, the incident is mainly reported in the media, especially magazines and newspapers. Therefore, undertaking this research is to further contribute to the few existing scholarly works on the subject for practical outcomes in policy response. An understanding of the meaning and workings of the baby factory as modern-day slavery would provide a policy guide and interventions aimed at curbing the trend. This, then, calls for the definition of a baby factory as an illegal clinic, maternity, or orphanage where young girls and women with unwanted pregnancies are kept for reasons ranging from money-making, illicit procreation, and coerced sexual exploitation to murder for ritual and child-selling. The business is unlawful, with huge benefits for owners and their accomplices, while victims are threatened and forced to accept enslavement, aggression, and violence as normal [1].
Studies (see United Nations Organisation for Education, Science, and Culture, UNESCO, [1, 23, 24, 25, 26]) consistently show that the first cases of the baby factory in Nigeria were officially reported in 2006 by UNESCO and was then classified as child trafficking prevalent in the southeast part of the country. Later identified incidents occurred across Southern Nigeria, particularly Lagos State, and the phenomenon followed similar trajectories. For instance, pregnant teenagers or adult women with unwanted pregnancies approach doctors, clinics, nurses, or orphanages that subsequently take care of these girls and women during their pregnancies. When babies are born, they are sold to childless couples or couples who are desperate to have a child. The natural mothers of the babies then signed papers, repudiating their ownership or claims on the babies, and thereafter receive monetary compensations [1, 23, 24, 25].
In 2011, The Telegraph [27] reported that police officers, on a tipoff, raided Cross Foundation premises in Aba, Abia State of Nigeria, where pregnant girls between the ages of 15 and 17 were confined to ‘make babies’ (give birth to children for sale) for the proprietor, who sell them to clients. The 32 pregnant young girls and women who were rescued by the police confessed to the crime, stating that they have accepted to sell their awaiting newborn babies, as they were convinced by the owner of this Foundation. These babies would then be sold to buyers for any amount ranging from N300, 000.00 (about $667) Naira to N1, 000000.00 (about $2222) ([27]), depending on the sex of the baby (a boy child is more expensive than a girl child in the southeastern states of Nigeria).
Eteng and her associate [1] summarised the studies of [26, 28, 29, 30] on baby factories and reached the conclusion that the crime is on the increase with horrific outcomes. From these sources, the situation often involves teenage girls and young women brought by traffickers to clinics and homes referred to as ‘baby factory’ with the promise of jobs, safe abortions, and even money after delivery. The victims are then confined and forced to give birth, with some of them trafficked while being pregnant, and others impregnated at the baby factory by men hired to do so. As further summarised by Eteng et al. [1], owners of baby factories often claim that babies are put up for adoption by childless couples, whereas, in reality, child labour, sexual exploitation, and even ritual are the reasons for their establishment. Even human traffickers obtain their victims from baby factories, operating under the cover of ‘maternity homes’, ‘hospitals’, or ‘orphanages’; the act is both a profitable illegitimate business and a new form of human trafficking in Nigeria [23].
To state the obvious, statistics on baby factories in Nigeria are mainly found in newspapers and magazines [1], so this chapter is a contribution to the dearth of scholarly literature on the phenomenon with the aim of providing a policy guide. For these authors, ‘the problem seems to have peaked between 2008 and 2013’ ([1], p. 4). In May 2008, according to [23], a case of a baby factory was reported to the Nigeria Police Force (NPF) in Enugu State and the formation swung into action that led to the rescue of 25 teenage girls housed in a baby factory. While 32 victims were freed from captivity in a baby factory located in Aba in June 2011 by NPF, 17 pregnant girls were rescued in Lagos State in October of the same year. A maternity home that belongs to Madam One Thousand in the Umuaka community of Imo State was raided by the police in May 2013. The outcome resulted in the rescue of 26 teenage girls, 17 pregnant teenagers, and 11 babies. This was followed by the June 2013 police operation that led to the rescue of 16 pregnant teenagers in a baby factory situated in Aba [1, 30].
The ILO Convention No. 182 includes debt bondage as a form of slavery that results in aggression and violence. A person is subjected to peonage or debt bondage when such a person is compelled through force or abuse to work against their will to pay off debts. The situation is particularly debilitating if the value of the work is not actually directed towards the payment of the debt. So many children are pushed into child labour or marriage to settle parental debt burden. Some young girls may be affianced to elderly men, old enough to be their father or grandfather, due to the inability of their parents to pay certain debts. The implication is that girls from affected families become a collateral and mortgage with which parents settle their debts. This is done without considering the psychosocial effects of such actions or inactions on the child (see also [31]).
The practice of peonage is prevalent in India and Nigeria, and is sometimes used to settle conflicts. In this case, a girl child could be given out in marriage to a particular person in compensation for an offence that her parents, family, or community committed against the person. The consent of the girl does not count. A Nigerian example was specifically depicted by Achebe [32] in his classical book titled ‘Things Fall Apart’. In this work, Achebe reported that a woman (the wife of Ogbuefi Udo) from Umuofia was killed by the people of Mbaino. The people of Umuofia met and agreed to send emissaries to Mbaino to ask whether they wanted war or peace. And, to achieve peace, the people of Mbaino gave a young lad and virgin girl to Umuofia. The virgin girl was then given to Ogbuefi Udo to replace his murdered wife. By this action, the young girl was forced to marry the old man—Ogbuefi Udo without her understanding and approval. This is also tenable in real-life situations in Nigeria.
Although early forced marriage affects both boys and girls, the majority of victims are girls. According to United Nations Children’s Fund (UNICEF), it is estimated that 11% of women worldwide were married before the age of 15 years. Boys are also affected by this practice, but the majority of those who suffer slavery that manifests in the form of child marriages are girls [33]. A multi-country study by women living under Muslim laws in 2013, as cited in ref. [9], revealed that the practice of marrying out girls at a young age is rampant in the developing countries of the world. These are specific countries in sub-Saharan Africa, Asia, and Latin America. It was revealed that marriages of girls between the ages of 16 and 18 are not uncommon in some areas of Eastern Europe. Marriages at or shortly after puberty are also prevalent in the Middle East, North Africa, and some other parts of Asia. Data collected by UNICEF in 2005 showed that, in South East Asia, women between the ages of 18 and 24, representing 48%, were married out before attaining the age of 18; 42% in Africa; and 29% in Latin America and the Caribbean [9].
Worldwide, it is estimated that 15 million girls, with some as young as 5 years old, are forced into marriage every year; over 700 women alive today were married as children; one in every three girls in the developing world married before 18 and one in nine marry before the age of 15 [34]. Early forced marriage, which is synonymous with child forced marriage, is regarded as a form of slavery in some quarters. This could be the case if the child has not genuinely given his or her free and informed consent to enter into the marriage relationship. Other reasons are if the child is subjected to control and a sense of ownership in the marriage (maybe through abuse, threats, violence, and humiliation), or if the child is subjected to non-consensual sexual affairs and cannot leave or end the marriage that could lead to lifetime slavery. Early forced marriage could also be in the form of betrothal. In this case, the parents of the under-aged girl enter into a marriage contract with a future husband for their daughter. At times, this involves cohabitation between the girl and the man. The girl may be ignorant of the relationship and will have to be informed after a while. This practice used to be associated with the Igbo in the southeastern part of Nigeria, but nowadays, the practice has significantly reduced.
Marriage by abduction, also known as bride capture, is another form of early forced marriage found mainly in Central Asia and parts of Africa. Adom Television [35] reported that this is a practice where a man abducts the girl he wishes to marry. The victim is often raped to lose her virginity, and this makes it easy for them would be groomed to negotiate a bridewealth (price) with the elders of the community. The girl is forced to accept as she is now seen as impure, having lost her virginity, and may face ostracism if she refuses to marry the man. This practice is also common in some parts of Taraba State in Nigeria, although it has gone through some modifications in recent times. At present, the groom may approach the girl’s parents and express his interest in marrying their daughter. The man may entice the girl’s parents with gifts or other incentives. Once the parents have consented, the girl’s opinion becomes irrelevant. They will then arrange and send their daughter on an errand and inform the groom to waylay and ‘steal’ her. The following day, the man will visit the parents of the girl to inform them that their daughter is now with him. At that point, the other marriage rites begin.
In conflict areas, girls and women are sometimes forced to marry men on either side of the conflict. Girls are captured as war victims, raped, and forced into marriage. It was reported recently in Nigeria that some women and young girls captured by the Boko Haram insurgents were raped and forced into marriage. Many of them were carrying unwanted pregnancies when the Nigerian soldiers rescued them from Punch Newspaper [36]. Young girls have been forced into marriage as part of the settlement of disputes between families. In this instance, a girl is given out in marriage to serve as punishment for a crime committed by her male relatives. This is practised in Pakistan and even in Nigeria, as could be seen from the earlier presented narrative of Onwe [31]. ILO [7] reported that the mental torture, abuse, brutalisation, exploitation, and dehumanisation that they experience usually lead to lowered self-esteem. The social stigma attached to this is usually difficult for the victims and their families to bear. This is why some victims are usually unwilling to testify in court in pending cases. In some developing countries, such as Nigeria, India, and Pakistan, modern-day slavery has taken the forms of debt peonage, early and forced marriage, forced child labour, or involuntary servitude.
Having explored some of the forms of modern-day slavery peculiar to Nigeria, it has become very clear that women are more vulnerable and bear the brunt of it all. They are exploited and used both as economic and sex slaves. These have continued despite all forms of laws that have been put in place by the United Nations and the Nigerian government to protect women against aggression, violence, and human rights abuses. Modern servitudes require inter-State action and collaborative efforts of security operatives from the States/communities victims are trafficked and the destination State/communities to effectively tackle this crime.
However, it is not just enough for NGOs and isolated governments to rescue victims and rehabilitate them. More drastic measures should be taken to crumble this business of modern-day slavery, particularly the baby factory. To this end, efforts should be made to increase awareness and rally the world to fight against this scourge. Just as the world saw the evils of the trans-Atlantic slave trade and abolished it, proper legislations should be made so that countries whose citizens are involved in the business of modern slavery should be made to face global sanctions through the United Nations. Furthermore, since women are the worst victims of early and forced marriage, peonage (debt bondage), and baby factory, concerted efforts should be made by the State security forces to enforce the extant laws and already existing human rights provisions to protect women in the various States in Nigeria where this aggression and violent behaviour is still in practice.
All levels of government in Nigeria (federal, state, and local), nongovernmental organisations, religious institutions, and local authorities and institutions should be more involved in the creation of awareness at the grassroots level on the harmful effects of modern-day slavery in all its ramifications. For wide coverage and practical outcomes, the sensitisation has to be done in local parlance and languages using jingles, radio, television, and the print media. Rescued victims should also be encouraged to expose the perpetrators as part of an effort to fight the menace.
The female population is largely the victim, while most perpetrators are males. The trend in slavery enterprise is typically organised and largely motivated by women’s vulnerabilities and powerlessness, with dehumanising and destructive consequences. Arising from this is the conclusion that certain cultural practices and socioeconomic forces intertwine with poverty, lack of qualitative education, and other exclusions to expose women and girls to servitudes. The problem requires robust intersectoral approaches—that is, coordinated intervention, programmes, and collaborative efforts between governments and local authorities and institutions—to (re)solve.
The authors declare no conflict of interest.
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After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. 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On this context, this chapter summarizes the general characteristics of Actinobacteria, its habitat, systematic classification, various biotechnological applications, and negative impact on plants and animals.",book:{id:"5056",slug:"actinobacteria-basics-and-biotechnological-applications",title:"Actinobacteria",fullTitle:"Actinobacteria - Basics and Biotechnological Applications"},signatures:"Ranjani Anandan, Dhanasekaran Dharumadurai and Gopinath\nPonnusamy Manogaran",authors:[{id:"48914",title:"Dr.",name:"Dharumadurai",middleName:null,surname:"Dhanasekaran",slug:"dharumadurai-dhanasekaran",fullName:"Dharumadurai Dhanasekaran"}]},{id:"42319",doi:"10.5772/50364",title:"Lactic Acid Bacteria in Hydrogen-Producing Consortia: On Purpose or by Coincidence?",slug:"lactic-acid-bacteria-in-hydrogen-producing-consortia-on-purpose-or-by-coincidence-",totalDownloads:3792,totalCrossrefCites:31,totalDimensionsCites:89,abstract:null,book:{id:"2796",slug:"lactic-acid-bacteria-r-d-for-food-health-and-livestock-purposes",title:"Lactic Acid Bacteria",fullTitle:"Lactic Acid Bacteria - R & D for Food, Health and Livestock Purposes"},signatures:"Anna Sikora, Mieczysław Błaszczyk, Marcin Jurkowski and Urszula Zielenkiewicz",authors:[{id:"143688",title:"Dr.",name:"Urszula",middleName:null,surname:"Zielenkiewicz",slug:"urszula-zielenkiewicz",fullName:"Urszula Zielenkiewicz"},{id:"146985",title:"Dr.",name:"Anna",middleName:null,surname:"Sikora",slug:"anna-sikora",fullName:"Anna Sikora"},{id:"162424",title:"Prof.",name:"Mieczysław",middleName:null,surname:"Błaszczyk",slug:"mieczyslaw-blaszczyk",fullName:"Mieczysław Błaszczyk"},{id:"162425",title:"Mr.",name:"Marcin",middleName:null,surname:"Jurkowski",slug:"marcin-jurkowski",fullName:"Marcin Jurkowski"}]},{id:"42328",doi:"10.5772/47766",title:"Lactic Acid Bacteria as Source of Functional Ingredients",slug:"lactic-acid-bacteria-as-source-of-functional-ingredients",totalDownloads:7616,totalCrossrefCites:22,totalDimensionsCites:51,abstract:null,book:{id:"2796",slug:"lactic-acid-bacteria-r-d-for-food-health-and-livestock-purposes",title:"Lactic Acid Bacteria",fullTitle:"Lactic Acid Bacteria - R & D for Food, Health and Livestock Purposes"},signatures:"Panagiota Florou-Paneri, Efterpi Christaki and Eleftherios Bonos",authors:[{id:"140984",title:"Prof.",name:"Panagiota",middleName:null,surname:"Florou-Paneri",slug:"panagiota-florou-paneri",fullName:"Panagiota Florou-Paneri"},{id:"142773",title:"Dr.",name:"Efterpi",middleName:null,surname:"Christaki",slug:"efterpi-christaki",fullName:"Efterpi Christaki"},{id:"142774",title:"Dr.",name:"Eleftherios",middleName:null,surname:"Bonos",slug:"eleftherios-bonos",fullName:"Eleftherios Bonos"}]},{id:"42337",doi:"10.5772/50839",title:"Exopolysaccharides of Lactic Acid Bacteria for Food and Colon Health Applications",slug:"exopolysaccharides-of-lactic-acid-bacteria-for-food-and-colon-health-applications",totalDownloads:6379,totalCrossrefCites:18,totalDimensionsCites:46,abstract:null,book:{id:"2796",slug:"lactic-acid-bacteria-r-d-for-food-health-and-livestock-purposes",title:"Lactic Acid Bacteria",fullTitle:"Lactic Acid Bacteria - R & D for Food, Health and Livestock Purposes"},signatures:"Tsuda Harutoshi",authors:[{id:"141928",title:"Dr.",name:"Harutoshi",middleName:null,surname:"Tsuda",slug:"harutoshi-tsuda",fullName:"Harutoshi Tsuda"}]},{id:"42322",doi:"10.5772/51282",title:"The Current Status and Future Expectations in Industrial Production of Lactic Acid by Lactic Acid Bacteria",slug:"the-current-status-and-future-expectations-in-industrial-production-of-lactic-acid-by-lactic-acid-ba",totalDownloads:9095,totalCrossrefCites:18,totalDimensionsCites:46,abstract:null,book:{id:"2796",slug:"lactic-acid-bacteria-r-d-for-food-health-and-livestock-purposes",title:"Lactic Acid Bacteria",fullTitle:"Lactic Acid Bacteria - R & D for Food, Health and Livestock Purposes"},signatures:"Sanna Taskila and Heikki Ojamo",authors:[{id:"139705",title:"Dr.",name:null,middleName:null,surname:"Taskila",slug:"taskila",fullName:"Taskila"},{id:"142916",title:"Prof.",name:"Heikki",middleName:null,surname:"Ojamo",slug:"heikki-ojamo",fullName:"Heikki Ojamo"}]}],mostDownloadedChaptersLast30Days:[{id:"49873",title:"An Introduction to Actinobacteria",slug:"an-introduction-to-actinobacteria",totalDownloads:8089,totalCrossrefCites:29,totalDimensionsCites:101,abstract:"Actinobacteria, which share the characteristics of both bacteria and fungi, are widely distributed in both terrestrial and aquatic ecosystems, mainly in soil, where they play an essential role in recycling refractory biomaterials by decomposing complex mixtures of polymers in dead plants and animals and fungal materials. They are considered as the biotechnologically valuable bacteria that are exploited for its secondary metabolite production. Approximately, 10,000 bioactive metabolites are produced by Actinobacteria, which is 45% of all bioactive microbial metabolites discovered. Especially Streptomyces species produce industrially important microorganisms as they are a rich source of several useful bioactive natural products with potential applications. Though it has various applications, some Actinobacteria have its own negative effect against plants, animals, and humans. On this context, this chapter summarizes the general characteristics of Actinobacteria, its habitat, systematic classification, various biotechnological applications, and negative impact on plants and animals.",book:{id:"5056",slug:"actinobacteria-basics-and-biotechnological-applications",title:"Actinobacteria",fullTitle:"Actinobacteria - Basics and Biotechnological Applications"},signatures:"Ranjani Anandan, Dhanasekaran Dharumadurai and Gopinath\nPonnusamy Manogaran",authors:[{id:"48914",title:"Dr.",name:"Dharumadurai",middleName:null,surname:"Dhanasekaran",slug:"dharumadurai-dhanasekaran",fullName:"Dharumadurai Dhanasekaran"}]},{id:"55303",title:"Classification of Anti‐Bacterial Agents and Their Functions",slug:"classification-of-anti-bacterial-agents-and-their-functions",totalDownloads:9155,totalCrossrefCites:10,totalDimensionsCites:20,abstract:"Bacteria that cause bacterial infections and disease are called pathogenic bacteria. They cause diseases and infections when they get into the body and begin to reproduce and crowd out healthy bacteria or to grow into tissues that are normally sterile. To cure infectious diseases, researchers discovered antibacterial agents, which are considered to be the most promising chemotherapeutic agents. Keeping in mind the resistance phenomenon developing against antibacterial agents, new drugs are frequently entering into the market along with the existing drugs. In this chapter, we discussed a revised classification and function of the antibacterial agent based on a literature survey. The antibacterial agents can be classified into five major groups, i.e. type of action, source, spectrum of activity, chemical structure, and function.",book:{id:"5867",slug:"antibacterial-agents",title:"Antibacterial Agents",fullTitle:"Antibacterial Agents"},signatures:"Hamid Ullah and Saqib Ali",authors:[{id:"201024",title:"Dr.",name:"Hamid",middleName:null,surname:"Ullah",slug:"hamid-ullah",fullName:"Hamid Ullah"},{id:"202624",title:"Dr.",name:"Saqib",middleName:null,surname:"Ali",slug:"saqib-ali",fullName:"Saqib Ali"}]},{id:"58507",title:"Probiotics and Ruminant Health",slug:"probiotics-and-ruminant-health",totalDownloads:2820,totalCrossrefCites:5,totalDimensionsCites:9,abstract:"Probiotics are viable microorganisms with beneficial health effects for humans and animals. They are formulated into many functional foods and animal feed. There is a growing research interest in the application and benefits of probiotics in ruminant production. Several recent studies have evaluated the potential of probiotics in animal nutrition and health. In this chapter, we have reviewed current research on the benefits of probiotics on gut microbial communities in ruminants and their impact on ruminant production, health and overall wellbeing.",book:{id:"6425",slug:"probiotics-current-knowledge-and-future-prospects",title:"Probiotics",fullTitle:"Probiotics - Current Knowledge and Future Prospects"},signatures:"Sarah Adjei-Fremah, Kingsley Ekwemalor, Mulumebet Worku and\nSalam Ibrahim",authors:[{id:"107905",title:"Prof.",name:"Salam",middleName:null,surname:"Ibrahim",slug:"salam-ibrahim",fullName:"Salam Ibrahim"},{id:"218786",title:"Dr.",name:'Mulumebet "Millie"',middleName:null,surname:"Worku",slug:'mulumebet-"millie"-worku',fullName:'Mulumebet "Millie" Worku'},{id:"218789",title:"Dr.",name:"Kingsley",middleName:null,surname:"Ekwemalor",slug:"kingsley-ekwemalor",fullName:"Kingsley Ekwemalor"},{id:"223195",title:"Dr.",name:"Sarah",middleName:null,surname:"Adjei-Fremah",slug:"sarah-adjei-fremah",fullName:"Sarah Adjei-Fremah"}]},{id:"49285",title:"Morphological Identification of Actinobacteria",slug:"morphological-identification-of-actinobacteria",totalDownloads:8512,totalCrossrefCites:19,totalDimensionsCites:45,abstract:"Actinobacteria is a phylum of gram-positive bacteria with high G+C content. Among gram-positive bacteria, actinobacteria exhibit the richest morphological differentiation, which is based on a filamentous degree of organization like filamentous fungi. The actinobacteria morphological characteristics are basic foundation and information of phylogenetic systematics. Classic actinomycetes have well-developed radial mycelium, which can be divided into substrate mycelium and aerial mycelium according to morphology and function. Some actinobacteria can form complicated structures, such as spore, spore chain, sporangia, and sporangiospore. The structure of hyphae and ultrastructure of spore or sporangia can be observed with microscopy. Actinobacteria have different cultural characteristics in various kinds of culture media, which are important in the classification identification, general with spores, aerial hyphae, with or without color and the soluble pigment, different growth condition on various media as the main characteristics. The morphological differentiation of actinobacteria, especially streptomycetes, is controlled by relevant genes. Both morphogenesis and antibiotic production in the streptomycetes are initiated in response to starvation, and these events are coupled.",book:{id:"5056",slug:"actinobacteria-basics-and-biotechnological-applications",title:"Actinobacteria",fullTitle:"Actinobacteria - Basics and Biotechnological Applications"},signatures:"Qinyuan Li, Xiu Chen, Yi Jiang and Chenglin Jiang",authors:[{id:"175852",title:"Dr.",name:"Chen",middleName:null,surname:"Jiang",slug:"chen-jiang",fullName:"Chen Jiang"}]},{id:"68772",title:"Multidrug-Resistant Bacterial Foodborne Pathogens: Impact on Human Health and Economy",slug:"multidrug-resistant-bacterial-foodborne-pathogens-impact-on-human-health-and-economy",totalDownloads:1043,totalCrossrefCites:3,totalDimensionsCites:7,abstract:"The drug abuse known to occur during growth of animals intended for food production, because of their use as either a prophylactic or therapeutic treatment, promotes the emergence of bacterial drug resistance. It has been reported that at least 25% of the foodborne isolates show drug resistance to one or more classes of antimicrobials (FAO 2018). There are diverse mechanisms that promote drug resistance. It is known that the use of sub-therapeutic doses of antibiotics in animals intended for food production promotes mutations of some chromosomal genes such as gyrA-parC and mphA, which are responsible for quinolone and azithromycin resistance, respectively. Also, the horizontal transfer of resistance genes as groups (“cassettes”) or plasmids makes the spread of resistance to different bacterial genera possible, among which there could be pathogens. The World Health Organization considers the emergence of multidrug-resistant pathogenic bacteria as a health problem, since the illnesses caused by them complicate the treatment and increase the morbidity and mortality rates. The complication in the illness treatment caused by a multidrug-resistant pathogen causes economic losses to patients for the payment of long stays in hospitals and also causes economic losses to companies due to the absenteeism of their workers.",book:{id:"8133",slug:"pathogenic-bacteria",title:"Pathogenic Bacteria",fullTitle:"Pathogenic Bacteria"},signatures:"Lilia M. Mancilla-Becerra, Teresa Lías-Macías, Cristina L. 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He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"3",title:"Bacterial Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/3.jpg",isOpenForSubmission:!1,editor:null,editorTwo:null,editorThree:null},{id:"4",title:"Fungal Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",isOpenForSubmission:!0,editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",isOpenForSubmission:!0,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",isOpenForSubmission:!0,editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution: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. 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