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Keyword: FFHole-Confined Polar Optical Phonon Interaction in \(\mathrm{Al_{0.35}Ga_{0.65}As/GaAs/Al_{0.25}Ga_{0.75}As}\) Quantum Wells
In Al0.35Ga0.65As/GaAs/Al0.25Ga0.75As quantum wells, the hole-confined polar optical phonon interaction is investigated. To calculate the valence band structure, we use the Luttinger-Kohn Hamiltonian with the k.p method. Within the dielectric continuum model, the hole-confined phonon scattering rates of intrasubband heavy holes in quantum well are calculated. It is found that the scattering rates are governed…
Read MoreHigh Performance SqueezeNext: Real time deployment on Bluebox 2.0 by NXP
DNN implementation and deployment is quite a challenge within a resource constrained environment on real-time embedded platforms. To attain the goal of DNN tailor made architecture deployment on a real-time embedded platform with limited hardware resources (low computational and memory resources) in comparison to a CPU or GPU based system, High Performance SqueezeNext (HPS) architecture…
Read MoreA New Technique to Accelerate the Learning Process in Agents based on Reinforcement Learning
The use of decentralized reinforcement learning (RL) in the context of multi-agent systems (MAS) poses some difficult problems. The speed of the learning process for example. Indeed, if the convergence of these algorithms has been widely studied and mathematically proven, they suffer from being very slow. In this context, we propose to use RL in…
Read MoreGeneralized Linear Model for Predicting the Credit Card Default Payment Risk
Predicting the credit card default is important to the bank and other lenders. The credit default risk directly affects the interest charged to the borrower and the business decision of the lenders. However, very little research about this problem used the Generalized Linear Model (GLM). In this paper, we apply the GLM to predict the…
Read MoreEncompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection
The main purpose in this work is to explore the fact that chaos, as a biological characteristic in the brain, should be used in an Artificial Neural Network (ANN) system. In fact, as long as chaos is present in brain functionalities, its properties need empirical investigations to show their potential to enhance accuracies in artificial…
Read MoreTowards a Model-based and Variant-oriented Development of a System of Systems
The development of an aggregated system consisting of autonomously developed components is usually implemented as a self-contained unit. If such an aggregation is understood as a system of systems (SoS) that communicates via interfaces with its autonomous subsystems and components, the interfaces and communication exchange should play a central role in the architectural design. In…
Read MoreAnalysis Methods and Classification Algorithms with a Novel Sentiment Classification for Arabic Text using the Lexicon-Based Approach
Social networks have become a valuable platform for tracking and analyzing Internet users’ feelings. This analysis provides crucial information for decision-making in various areas, such as politics and marketing. In addition to this challenge and our interest in the field of big data and sentiment analysis in social networks, we have dedicated this work to…
Read MoreHeuristic Analysis of Overall Performance Measurement Perception and Management in Automotive Industry
Overall Performance (OP) measurement is an essential instrument in sustainable manufacturing implementation and management. The effective use of key performance indicators (KPIs) can potentially contribute to identify the firm’s overall performance, provide the crucial gaps between desired results and current actions, and thus facilitate the implementation and execution of improvement strategies. This study attempts to…
Read MoreMethodology for Calculating Shock Loads on the Human Foot
The leading place among diseases of the musculoskeletal system is occupied by various feet deformations. Clinical movement analysis and posturological examination are required to objectively assess the distribution for load caused by the weight of human body on the feet and its locomotion effect. In normal conditions, the foot is exposed to elastic deformations. When…
Read MoreTowards a Framework for Organizational Transformation through Strategic Design Implementation
The aim of the research is to contribute to the emergent field of strategic design as an approach to creating transformational impacts in organizations. This is driven by international strategies to promote sustainable business environments which are innovative and adaptive to change. The literature identifies a gap in the knowledge in relation to how knowledge…
Read MoreDigital Competencies of Saudi University Graduates Towards Digital Society: The Case of The University of Tabuk
This paper presents findings and proposes recommendations from an evaluation of the level of digital competencies among Saudi university graduates to ascertain their readiness for becoming digital citizens, with high confidence in using digital technologies to successfully engage in digital transformation efforts to achieve Saudi Vision 2030. The sample comprised 352 University of Tabuk students…
Read MoreLeakage-abuse Attacks Against Forward Private Searchable Symmetric Encryption
Dynamic Searchable Symmetric Encryption (DSSE) methods address the problem of securely outsourcing updating private data into a semi-trusted cloud server. Furthermore, Forward Privacy (FP) notion was introduced to limit data leakage and thwart the related attacks on DSSE approaches. FP schemes ensure previous search queries cannot be linked to future updates and newly added files.…
Read MoreCOVIDFREE App: The User-Enabling Contact Prevention Application: A Review
The use of Covid-19 contact tracing applications has become almost irrelevant now that several flavors of Covid-19 vaccine have been developed and are constantly being distributed to people during the pandemic to help alleviate the need for lockdowns. Also, the availability of at-home testing kits and testing sites means that people do not need to…
Read MoreInterpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows
With the development of Internet of Things technology and the widespread use of smart devices, artificial intelligence is now being applied as a decision-making tool in a variety of fields. To make machine learning models, including deep neural network models, more interpretable, various techniques have been proposed. In this paper, a method for explaining the…
Read MoreA Study on Novel Hand Hygiene Evaluation System using pix2pix
The novel coronavirus infection (COVID-19), which appeared at the end of 2019 has developed into a global pandemic with numerous deaths, and has also become a serious social concern. The most important and basic measure for preventing infection is hand hygiene. In this study, by photographing palm images of nursing students after hand-washing, using fluorescent…
Read MoreOnline Support for Tertiary Mathematics Students in a Blended Learning Environment
The context for the study was a naturally occurring quasi-experiment in the core mathematics program in a large Australian university. Delivery of teaching was changed in a sequence of two initial core mathematics subjects taken by engineering and science students. The change replaced one of two face-to-face tutorial classes per week by an online tutorial.…
Read MoreOn the Construction of Symmetries and Retaining Lifted Representations in Dynamic Probabilistic Relational Models
Our world is characterised by uncertainty and complex, relational structures that carry temporal information, yielding large dynamic probabilistic relational models at the centre of many applications. We consider an example from logistics in which the transportation of cargoes using vessels (objects) driven by the amount of supply and the potential to generate revenue (relational) changes…
Read MorePower Management and Control of a Grid-Connected PV/Battery Hybrid Renewable Energy System
This paper presents novel Energy Management Strategies (EMSs), and the control of a Grid-Connected Hybrid Renewable Energy System (GCHRES). The GCHRES describes a Photovoltaic Generator (PVG) and a Battery-Based Storage System. Both are tied to the Common Coupling Point (CCP) through a reversible three-phase inverter. The CCP combines the Utility Grid (UG) and an AC…
Read MoreTaxonomy of Security Techniques for Routing Protocols in Mobile Ad-hoc Networks
The Nodes equipped with wireless technology cooperate in an autonomous and instantaneous way to form a mobile ad hoc network. It turns out that several factors make this type of network vulnerable to various security threats. Considering the sensitivity of user data routed through nodes, routing security should be a priority in mobile ad hoc…
Read MoreEnhanced Dynamic Cross Layer Mechanism for real time HEVC Streaming over Vehicular Ad-hoc Networks (VANETs)
Various applications have helped make vehicular Ad-hoc network communication a reality. Real-time applications, for example, need broadcasting in high video quality with minimal latency. The new High-Efficiency Video Coding (HEVC) has shown great promise for real-time video transmission through Vehicle Ad-hoc Networks due to its high compression level. These networks, on the other hand, have…
Read MoreAutomated Hydroponic System using Wireless Sensor Networks
Researchers have associated agriculture and food processing with adverse environmental impacts like; falls in the underground freshwater table, energy consumption, and high carbon emission. These factors have the worst effect on developing countries. Therefore, there is a need for on-demand food production techniques that require minimum resource utilization. For these reasons, scientists are now focusing…
Read MoreEstimation of Non-homogeneous Thermal Conductivity using Fourier Heat Equation Considering Uncertainty and Error Propagation
The present work develops an estimator for thermal conductivity using a simple exper- iment implemented in a simulated solid metallic bar. The bar is sectioned in a finite number of segments, lately called nodes, and a discretization of the Fourier heat equation is applied in each node to generate a timed-spaced model of the temperature…
Read MoreA Novel Algorithm Design for Locating Fault Distances on HV Transmission Lines
The transmission network has been considered among the globe’s prevalent complex systems, comprised of hundreds of electrical transmission lines and other equipment used to transmit electrical energy from one location to another. Over a decade, power engineers have worked tirelessly to ensure that the transmission network operates reliably, transmitting electrical energy from the power station…
Read MoreThermoelectric Generators (TEGs) and Thermoelectric Coolers (TECs) Modeling and Optimal Operation Points Investigation
Sustainable energy is gradually becoming the norm today due to greenhouse warming effects; as a result, the quests for different renewable energy sources such as photovoltaic cells as well as energy efficient electrical appliances are becoming popular. Therefore, this article explores the alternative energy case for thermoelectricity with focus on the steady-state mathematics, mixed modelings…
Read MoreEthical Implications and Challenges in using Social Media: A Comprehensive Study
The technological revolution penetrates every aspect of our dailylives; it changed our lives in different fields such as communication, decision-making, information access and work environment. These changes have benefits, but they also have costs. These costs include many ethical and social problems that need more investigation. The human element is the most affected part of…
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