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We all seem to know how to cover gaps and correct when a student’s unethical situation is already present, but very few know how to apply the correctives by timely finding the causes and therefore not allowing for the detrimental impact... more
We all seem to know how to cover gaps and correct when a student’s unethical situation is already present, but very few know how to apply the correctives by timely finding the causes and therefore not allowing for the detrimental impact on the student’s academic experience when unethical policies are applied to their fullest consequences
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Unmanned helicopters are being widely used in a multitude of applications, mostly military, as well as civilian. Their usefulness and applicability results from their ability to fly in very low altitudes, hover, cruise, take off and land... more
Unmanned helicopters are being widely used in a multitude of applications, mostly military, as well as civilian. Their usefulness and applicability results from their ability to fly in very low altitudes, hover, cruise, take off and land almost everywhere, executing missions that require aggressive and non-aggressive flight scenarios.
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Miniature helicopters are increasingly used in military and civilian applications, mainly due to their ability to hover, fly in very low altitudes and within confined spaces. However, due to model nonlinearities and inherent... more
Miniature helicopters are increasingly used in military and civilian applications, mainly due to their ability to hover, fly in very low altitudes and within confined spaces. However, due to model nonlinearities and inherent instabilities, low-level controller design for autonomous flights is a challenge. This Chapter presents an overview of major accomplishments in the area of unmanned helicopter control by several research groups, and focuses on techniques used for low-level control. It then describes a general model suitable for small or miniature helicopter non-aggressive flights and compares three different controllers, a PID, a Linear Quadratic Regulator (LQR) and an H 8 controller in terms of their practical implementation to achieve autonomous, self-governing flights.
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This manuscript introduces a Systems Engineering (SE) framework to design a state-of-the-art engineering laboratory course. In order to illustrate the developed framework, results from an implemented undergraduate embedded systems... more
This manuscript introduces a Systems Engineering (SE) framework to design a state-of-the-art engineering laboratory course. In order to illustrate the developed framework, results from an implemented undergraduate embedded systems laboratory course are being presented as a case study. The Concept of Operations was developed for the lab design to bridge the gap between skillset required by the industry and the learning objectives defined by the academic program. This was accomplished by preparing the students with a skillset that would facilitate their smooth transition from the academic program to the industry. Following the SE framework, industry ready skills were identified based on the survey carried out from the TRUE (Taking Responsibility to Understand Engineering) Partners of the Electrical Engineering (EE) Department at the University of South Florida (USF). The course design requirements were then identified based on the needs of the stakeholders: the industry; the students; and the EE department of USF. Further, the course was implemented through CANVAS, a learning management system, by incorporating innovative instructional interventions. The case study is being verified and validated by presenting the results of the course exit survey and metrics such as grade point averages, enrollment, retention and completion rates; the trends of the results show that the students were able to grasp the presented technical material with ease. In addition, the results also indicated that maximum learning experience was accomplished due to the incorporation of instructional interventions like spacing and interleaving, pair programming, online lectures, active and social learning, into the course design. Finally, it can be seen that a SE approach is very effective not only in maximizing the student learning experience but also in meeting the ever-changing skillset requirement of the industry
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Research Interests: Engineering, Robotics, Computer Science, Inertial navigation, Monte Carlo Methods, and 15 moreSimultaneous Localization and Mapping, System Engineering, Wireless Network, Protocols, Wireless, Sensor Fusion, Particle Filter, Communication Protocol, Position Estimation, Dead Reckoning, Extended Kalman Filter, Cooperative Systems, Monte Carlo Method, Network Interface, and Measurement System
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Research Interests: Materials Science, Statistical Analysis, Design of Experiments, Semiconductor Devices, Ultrasound, and 8 moreNondestructive testing, Semiconductor, Manufacturing Engineering, Chemical Mechanical Planarization, Design of experiment, Regression Model, Electrical And Electronic Engineering, and Chemical Mechanical Polishing
Two techniques, focused ion beam patterning, (FIB), and electron-beam lithography, (E-beam), for micron and submicron patterning of cross-linked poly(N- isopropylacrylamide) films are presented. Both techniques generate well-defined... more
Two techniques, focused ion beam patterning, (FIB), and electron-beam lithography, (E-beam), for micron and submicron patterning of cross-linked poly(N- isopropylacrylamide) films are presented. Both techniques generate well-defined patterns that retain their thermo-responsiveness. However, only FIB patterning combined with soft lithography offers independent control over cross-link density and feature-size resolution. In order to demonstrate the use of E-beam lithography a series of "smart" trenches were fabricated, which could be exploited for BioSamples capture and release mechanisms for BioMEMS/NEMS sample processing.
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The purpose of this paper is to present a research and education network that will help the academic community of the America's region to improve their device-processing skills and... more
The purpose of this paper is to present a research and education network that will help the academic community of the America's region to improve their device-processing skills and characterization via ISTEC's micro/nano systems mobile training program, (MTP). This hands-on program is designed to eliminate the barriers between engineering students and advanced-equipped research facilities. ISTEC's MTP will have a significant
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ABSTRACT This work presents the design, fabrication and characterization of Metamaterial (MTM) structures using MEMS technology for applications in bio-medical optics. Metamaterials can be applied in diverse fields such as Photonic... more
ABSTRACT This work presents the design, fabrication and characterization of Metamaterial (MTM) structures using MEMS technology for applications in bio-medical optics. Metamaterials can be applied in diverse fields such as Photonic Crystals, Resonant Structures and Transmission Lines. In this work the focus is on Transmission Lines. For this application, the metamaterial structure is based on a Composite Right/Left Handed Transmission Line (CRLH-TL) which consists of MEMS capacitors and inductors. The MEMS capacitor is formed with two parallel plates (two electrodes, one mobile-positive and one fixed-negative), whose capacitance can be varied using electrostatic principles; in addition it acts as a 3D element for metamaterial device tuning.
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With fast-paced digital transformation, precision medicine has been an essential part to elevate the conscience of healthcare with respect to the biopsychosocial model with the help of Remote Patient Monitoring Systems. Digital twins have... more
With fast-paced digital transformation, precision medicine has been an essential part to elevate the conscience of healthcare with respect to the biopsychosocial model with the help of Remote Patient Monitoring Systems. Digital twins have been successful in many industries, in healthcare, it can optimize the wellness of the human body to improve physical and mental wellness including the non-diagnosed diseased populations and rural populations. In this paper, we discuss the challenges in terms of computing to implement a complex system called Wellness Digital Twin-based Remote Patient Monitoring System following Model-Based Systems Engineering (MBSE), we present the definition, needs of the digital twin in the context of wellness and healthcare, a feasibility study followed by a concept of operations. Subsequently, we present the requirements and architecture including In-memory computing, (Emerging NonVolatile Memories, memristive devices) that will enhance sensing, analytics, an...
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Cryptographic systems can potentially suffer from various attacks which are a consequence of vulnearability of side channel information to analysis attacks. The nature of digital circuits is prone to electromagnetic and power analysis... more
Cryptographic systems can potentially suffer from various attacks which are a consequence of vulnearability of side channel information to analysis attacks. The nature of digital circuits is prone to electromagnetic and power analysis (EMA and PA) attacks. Interconnects in cryptographic circuits emanate information through electromagnetic signals which can be exploited using EMA. Complementary Metal Oxide Semiconductor (CMOS) circuits are vulnearable to leak of computational information through leakage and dynamic power consumption. Dynamic power consumption of cryptographic engines is a rich source to sink in the data under process. The hardware implementation of cryptographic algorithms undermine the security of encrypted system against non brute-force-attacks. The attackers collect and analyse the leakage information of cryptographic circuits to detect the secrete key. The parameters sensitivity of the device and circuits make the cryptographic engines vulnearable to fault injection and inherent inconsistency of the circuits. Dynamic and static power comprise two major components of power consumption of digital circuits. Both power components vary with data under process. This exhibits power consumption has data dependency in digital circuits. To make noisy power profile, various countermeasures have been proposed against Differential Power Analysis (DPA) attacks. In this research, false glitch cells is proposed to work as a countermeasure to generate random transitions and power spikes to scramble power profile. The mathematical foundation of security implications of false glitch cells against Correlation Power Analysis (CPA) attacks is investigated. Moreoever, the security efficiency of utilizing false glitch cells is verified with different metrics.
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Side channel information is a major threat against cryptographic circuits. Since cryptographic algorithms are implemented on microprocessors or custom hardware, the attackers easily can exploit the side channel information from the chip... more
Side channel information is a major threat against cryptographic circuits. Since cryptographic algorithms are implemented on microprocessors or custom hardware, the attackers easily can exploit the side channel information from the chip to detect the secret key. The power consumption in digital circuits consists of two major components: switching power consumption and leakage power consumption. Both power components in digital circuits have data dependency, while, the switching power consumption has more data dependency than leakage power. Most of the switching power consumption belongs to dynamic power consumption. Unfortunately, the lack of mathematic model to formulate the glitch power consumption has led to uncertain strategy about the impact of glitch power consumption on cryptographic circuits. This paper proposes a glitch power model in combination with discrete time power consumption to make concrete mathematic framework. This framework can be exploited to investigate the impact of glitch power consumption on security of cryptographic circuits.
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Multispectral analysis of coregistered multiparametric magnetic resonance (MR) images provides a powerful method for tissue phenotyping and segmentation. Acquisition of a sufficiently varied set of multicontrast MR images and parameter... more
Multispectral analysis of coregistered multiparametric magnetic resonance (MR) images provides a powerful method for tissue phenotyping and segmentation. Acquisition of a sufficiently varied set of multicontrast MR images and parameter maps to objectively define multiple normal and pathologic tissue types can require long scan times. Accelerated MRI on clinical scanners with multichannel receivers exploits techniques such as parallel imaging, while accelerated preclinical MRI scanning must rely on alternate approaches. In this work, tumor‐bearing mice were imaged at 7 T to acquire k‐space data corresponding to a series of images with varying T1‐, T2‐ and T2*‐weighting. A joint reconstruction framework is proposed to reconstruct a series of T1‐weighted images and corresponding T1 maps simultaneously from undersampled Cartesian k‐space data. The ambiguity introduced by undersampling was resolved by using model‐based constraints and structural information from a reference fully sampled image as the joint total variation prior. This process was repeated to reconstruct T2‐weighted and T2*‐weighted images and corresponding maps of T2 and T2* from undersampled Cartesian k‐space data. Validation of the reconstructed images and parameter maps was carried out by computing tissue‐type maps, as well as maps of the proton density fat fraction (PDFF), proton density water fraction (PDwF), fat relaxation rate ( R2f*) and water relaxation rate ( R2w*) from the reconstructed data, and comparing them with ground truth (GT) equivalents. Tissue‐type maps computed using 18% k‐space data were visually similar to GT tissue‐type maps, with dice coefficients ranging from 0.43 to 0.73 for tumor, fluid adipose and muscle tissue types. The mean T1 and T2 values within each tissue type computed using only 18% k‐space data were within 8%–10% of the GT values from fully sampled data. The PDFF and PDwF maps computed using 27% k‐space data were within 3%–15% of GT values and showed good agreement with the expected values for the four tissue types.
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Open Challenges: Continuous monitoring of fundamental cardiovascular hemodynamic parameters is essential to accomplish critical care diagnostics. Today's standard of care measures these critical parameters using multiple monitoring... more
Open Challenges: Continuous monitoring of fundamental cardiovascular hemodynamic parameters is essential to accomplish critical care diagnostics. Today's standard of care measures these critical parameters using multiple monitoring technologies. These state-of-the-art technologies require expensive instrumentation and complex infrastructure. Therefore, it is challenging to use current technologies to accomplish monitoring in a low resource setting. Objective: In order to address the challenges caused by having to use multiple monitoring systems, a point of care monitoring device was developed in this work to provide multiple critical parameters by uniquely measuring the hemodynamic process. Methods: To demonstrate the usability of this novel catheter multiscope, a feasibility study was performed using an animal model. The developed measurement system first acquires the dynamics of blood flow through a minimally invasive catheter. Then, a signal processing framework was developed to characterize the blood flow dynamics and to obtain critical parameters such as heart rate, respiratory rate, and blood pressure. The framework used to extract the physiological data corresponding to the acoustic field of the blood flow consisted of a noise cancellation method and wavelet-based source separation. Results: The preliminary results of the acoustic pressure field of the blood flow revealed the presence of acoustic heart and respiratory pulses. A unique framework was also developed to extract continuous blood pressure from the acoustic pressure field of the blood flow. Finally, the computed heart and respiratory rates, systolic and diastolic pressures were benchmarked with actual values measured using conventional devices to validate the hypothesis. Conclusion: The results confirm that catheter multiscope can provide multiple critical parameters with clinical reliability. Significance: A novel critical care monitoring system has been developed to accurately measure heart rate, respiratory rate, systolic and diastolic pressures from the blood flow dynamics.
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Doppler spectrum in an aeronautical channel is modeled with dual-Doppler shift instead of classical Jakes model. Orthogonal frequency division multiplexing (OFDM)-based systems are sensitive to Doppler shifts/spread, since the time... more
Doppler spectrum in an aeronautical channel is modeled with dual-Doppler shift instead of classical Jakes model. Orthogonal frequency division multiplexing (OFDM)-based systems are sensitive to Doppler shifts/spread, since the time variation of the channel causes inter-carrier interference (ICI). ICI analysis is provided here for OFDM-based systems in the aeronautical channel. The effect of ICI on the received signal is presented and its power is derived. As compared with terrestrial channels, where ICI is generally overcome by increasing the subcarrier spacing and bounding the normalized Doppler frequency (NDF), we propose to mitigate the effect of Doppler shifts in aeronautical channels, as follows. First, we use parametric spectrum estimation methods to extract the Doppler shifts by exploiting the predictable number of paths. Then, a beamforming-based method is introduced to resolve the incoming rays by separating them individually. Finally, paths are Doppler-compensated and combined using diversity combining techniques. Computer simulations are performed to provide numerical results. It is shown that a mean square error (MSE) performance ofis achieved with the parametric estimation methods, and bit error rate (BER) performance approaching the no-Doppler scenario is obtained with the beamforming-based mitigation method.
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In this study, a novel acoustic stethoscope based on an intravenous catheter was introduced to measure vascular pressures from a Yorkshire pig. Our hypothesis is that by means of this single device (measurement system) and by applying... more
In this study, a novel acoustic stethoscope based on an intravenous catheter was introduced to measure vascular pressures from a Yorkshire pig. Our hypothesis is that by means of this single device (measurement system) and by applying signal analysis and processing framework, multiple vital bio signals can be extracted. In contrast, current conventional state-of-the-art technologies use multiple devices to provide the same information. The framework used to extract these bio signals consisted of a noise cancellation technique and wavelet based source separation. The preliminary results obtained from the acquired pressure data revealed the presence of acoustic heart and respiratory pulses. Finally, the computed heart and respiratory rates were benchmarked with actual values measured using conventional devices to validate our hypothesis.
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Smart cities and connected vehicles have witnessed rapid research and technological developments over the last two decades. Early research has indicated that together these technologies can significantly benefit public safety in... more
Smart cities and connected vehicles have witnessed rapid research and technological developments over the last two decades. Early research has indicated that together these technologies can significantly benefit public safety in particular post collision care. This paper reviews the literature relating three key aspects of public safety presented in relation to post collision care, which include first responders response time, crash vehicle communication time to the first responder and the ability of the first responder to focus on collisions where they are needed the most.
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This study presents a cluster analysis framework for acoustic signals of the novel catheter stethoscope. The objective of the current study is to collect the blood flow sounds from a body site of a Yorkshire pig using the novel acoustic... more
This study presents a cluster analysis framework for acoustic signals of the novel catheter stethoscope. The objective of the current study is to collect the blood flow sounds from a body site of a Yorkshire pig using the novel acoustic catheter stethoscope and further recognize any changes in the sinus rhythm patterns. Initially the collected blood flow sounds are preprocessed with noise cancellation and wavelet source separation to result in acoustic heart and respiratory pulses. Then, the extracted acoustic heart pulses are post processed to recognize the patterns of the sinus rhythm based on a novel feature extraction technique and cluster analysis. Finally, the developed framework is qualitatively and quantitatively validated by providing visual results of the clustering and by computing the clustering accuracy, sensitivity and specificity. The cross validation results show that the developed framework consistently recognizes the patterns of the sinus rhythms with an accuracy rate of 94.37%.
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Table of contents: -University of South Florida: I+D+E -To share knowledge from Engineering Disciplines and tools designed to help us solve Complex Trans/Multi/Inter- disciplinary engineering challenges -To share on-going efforts in I+D+E... more
Table of contents: -University of South Florida: I+D+E -To share knowledge from Engineering Disciplines and tools designed to help us solve Complex Trans/Multi/Inter- disciplinary engineering challenges -To share on-going efforts in I+D+E at the College of Engineering/Department of Electrical Engineering at USF -To Emphasize the Importance of Creating Vehicles of Interaction Between Academia, Industry, Funding Agencies and Government and the impact of the ISTEC networkIbero-American Science and Technology Education Consortiu
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Visual function testing using electroretinogram (ERG) signal is used to detect abnormalities of the retina. This is accomplished by measuring, characterizing and analyzing the bio potential responses from various retinal cells formed due... more
Visual function testing using electroretinogram (ERG) signal is used to detect abnormalities of the retina. This is accomplished by measuring, characterizing and analyzing the bio potential responses from various retinal cells formed due to a visual stimulation. The objective of this study is to improve the existing ERG signal characterization models by identifying and including a key component called i-wave in the photopic response. To validate the proposed characterization model, a signal analysis and processing algorithm based on Multi Resolution Analysis has been developed to reliably separate various underlying components of this signal. Finally, the fidelity of this separation is quantitatively and qualitatively assessed by computing the Pearson's correlation coefficient and the corresponding scatter plots between the composite and the reconstructed ERG signal.
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Research Interests: Engineering, Robotics, Computer Science, Inertial navigation, Monte Carlo Methods, and 15 moreSimultaneous Localization and Mapping, System Engineering, Wireless Network, Protocols, Wireless, Sensor Fusion, Particle Filter, Communication Protocol, Position Estimation, Dead Reckoning, Extended Kalman Filter, Cooperative Systems, Monte Carlo Method, Network Interface, and Measurement System
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This paper presents a survey on how the implementation of RAM Air/Wind Energy has the potential to become a feasible energy source by extending the range traveled for electric cars, Unmanned Aerial Vehicles (UAVs), trucks, and rail... more
This paper presents a survey on how the implementation of RAM Air/Wind Energy has the potential to become a feasible energy source by extending the range traveled for electric cars, Unmanned Aerial Vehicles (UAVs), trucks, and rail transports. Through the concepts of the Venturi Effect, the Bernoulli Principle, and the application of RAT in the aviation system, the main goal will be achieved. In due course, RAM Air/Wind Energy will bring about the future of electrical transportation.
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Abstract An ANN is a computational model inspired by networks of biological neurons, wherein the neurons compute output values from inputs. It learns from its past experience and errors in a non-linear parallel processing manner. The... more
Abstract An ANN is a computational model inspired by networks of biological neurons, wherein the neurons compute output values from inputs. It learns from its past experience and errors in a non-linear parallel processing manner. The neuron is the basic calculating entities which computes from a number of inputs and deliver one output comparing with threshold value and turned on (fired). The computational processing is done by internal structural arrangement consists of hidden layers which utilizes the back propagation and feed forward mechanism to deliver output close to accuracy. The learning is based on reinforcement (supervised) and unsupervised (no target) type. The unsupervised mimics the biological neuron pattern of learning. ANN is widely used in medicine as classifier in cancer applications, drug delivery, pharmaceutical research and Blood-Brain Barrier (BBB) permeability.
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Page 1. Nonlinear Backstepping Control Design for Miniature Helicopters Using the Rotation Matrix Ioannis A. Raptis, Kimon P. Valavanis and Wilfrido A. Moreno Abstract This paper presents a backstepping control design for small scale... more
Page 1. Nonlinear Backstepping Control Design for Miniature Helicopters Using the Rotation Matrix Ioannis A. Raptis, Kimon P. Valavanis and Wilfrido A. Moreno Abstract This paper presents a backstepping control design for small scale helicopters. ...
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Page 1. A Technique for Automated Validation of Fault Tolerant Designs Using Laser Fault Injection (LFI) by John R. Samson, Jr. Wilfrido Moreno Fernando Falquez Honeywell Inc. University of South Florida Honeywell Inc. Clearwater, FL... more
Page 1. A Technique for Automated Validation of Fault Tolerant Designs Using Laser Fault Injection (LFI) by John R. Samson, Jr. Wilfrido Moreno Fernando Falquez Honeywell Inc. University of South Florida Honeywell Inc. Clearwater, FL Tampa, FL Clearwater, FL Abstract ...
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... by John R. Samson, Jr. ... 39, December 1992. [14] Schneiderwind R., Krening D., Buchner S. Kang K., Weatherford TR, " Laser Confirmation Of SEU Experiments In GaAs MESFET Combinational Logic, IEEE Transactions On Nuclear... more
... by John R. Samson, Jr. ... 39, December 1992. [14] Schneiderwind R., Krening D., Buchner S. Kang K., Weatherford TR, " Laser Confirmation Of SEU Experiments In GaAs MESFET Combinational Logic, IEEE Transactions On Nuclear Science, Vol. 39, December 1992. ...
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This paper presents a practical and simple approach to the design of autonomous flight control of miniature helicopters. It considers a standard easily tunable PID control as the starting step of the design. Then, robust loop-shaping... more
This paper presents a practical and simple approach to the design of autonomous flight control of miniature helicopters. It considers a standard easily tunable PID control as the starting step of the design. Then, robust loop-shaping techniques are applied to derive a controller with optimal properties with respect to robustness, noise sensitivity, and bandwidth. Comprehensive analysis and simulation experiments show
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Research Interests: Engineering, Applied Mathematics, Computer Science, Control Engineering, Controller Design, and 12 moreNonlinear Control, Control system, Numerical Simulation, Control Design, Stability Analysis, Error Correction, Structural Properties, Nonlinear system, Control Systems Theory & Technology, Electrical And Electronic Engineering, Attitude Control, and Backstepping
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Abstract This chapter shows the logical foundation of current and future research in natural or artificial neural networks. First, nonformal logic that formed the basis for the formalization of the logic is addressed. Second, the... more
Abstract This chapter shows the logical foundation of current and future research in natural or artificial neural networks. First, nonformal logic that formed the basis for the formalization of the logic is addressed. Second, the fundamentals of classical formal logic are explained: principles, propositional logic, predicate logic, binary logic, decision-making, and system of relations. Third, the conceptual aspects of nonclassical logics that allow us to understand other forms of reasoning to solve complex problems are reviewed. They are addressed from the closest to the classical formal logic, modal logic as dynamic, relevant, deontic, epistemic, and versatile to the most dissimilar or alternatives such as intuitionistic, diffuse, dynamic, free, and quantum.
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This chapter is a conceptual reference from a nonlinear artificial computation perspective that allows exploring avenues for interdisciplinary research of artificial and natural neural networks. The concepts underlying mathematics of... more
This chapter is a conceptual reference from a nonlinear artificial computation perspective that allows exploring avenues for interdisciplinary research of artificial and natural neural networks. The concepts underlying mathematics of complexity to solve complex computational problems, namely explained: polynomial and non-polynomial problems (P-NP); then heuristic mechanisms for the resolution of problems addressed and finally metaheuristics and hiperheuristicas as tools and guidance for the complexity for seeking the solution space to complex problems are presented.
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This chapter presents the neurobiological basis for the convergence of interdisciplinary work (Nano-Bio-Info-Cogno) in the research of artificial neural networks. The neurobiological study was conducted from neuroscience and technology;... more
This chapter presents the neurobiological basis for the convergence of interdisciplinary work (Nano-Bio-Info-Cogno) in the research of artificial neural networks. The neurobiological study was conducted from neuroscience and technology; the topics explained are genetics and cognition, complexity of information, information processing, brain and problem solving, emotions, and solutions as well as the relationship between the nervous system cells and biological synthesis of information as part of studies to the given problems. The most specific cognitive functions related to decision making and problem solving—attention, time, process, motion, relevance of information, and memory—as well as reasoning processes not typically associated with solving complex problems are reviewed.
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As wireless communications services continue increasing, continuous coverage and QoS parameters must be guaranteed to the end user. Due to the fact that in most places several wireless networks might be available, handing off between them... more
As wireless communications services continue increasing, continuous coverage and QoS parameters must be guaranteed to the end user. Due to the fact that in most places several wireless networks might be available, handing off between them can significantly enhance network efficiency and user satisfaction. In such a scenario, continuous environment monitoring is required for estimating links’ conditions in real time from which the network selection process is executed. This paper presents a vertical handoff architecture relying on SDR capable devices for simultaneous diverse networks’ parameters identification and dynamic communication link adaptation.