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Keyword: MASA Proposal of Code Modification Problem for Self-study of Web Client Programming Using JavaScript
In current societies, web application systems take central roles in computer systems. Thus, web client programming using JavaScript has increased values to add dynamic features and functions in web pages by well working with HTML and CSS. In this paper, as a new type of exercise problem for its self-study, we propose a code modification…
Read MoreAssessing the Impact of Integrating Solar PV System using the Equal Area Criterion Method
The impact of previous energy crisis gives an insight into what happens when the oil price crashes. Μany countries were affected due the slow reaction in boosting the economic growth in key sectors such as oil-importing activities and the economic restructuring progress to face the challenges. But the present energy crisis resulting from the COVID-19…
Read MoreDesign of an Off-Grid Hybrid Energy System for Electrification of a Remote Region: a Case Study of Upper Blink Water Community, South Africa
Electrifying or connecting remote and isolated communities to the national grid is very difficult and expensive. This challenge is due to the geographic locations of these isolated communities and terrain that needs navigation when installing transmission lines to transmit power to the communities. This article presents a case study of the design of a hybrid…
Read MorePhysical and Emission Properties of Blended Bio-Coal Briquettes Derived from Agro-Wastes in Nigeria
Nigeria has one of the highest deforestation rates in the world, due mainly to felling of trees for fuelwood and charcoal production. This challenge could be managed if agricultural waste briquettes are used to augment the fuelwood demand for cooking energy provisioning. Energy density of biomass fuels can be raised by blending with coal, but…
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 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 MoreEnsemble Learning of Deep URL Features based on Convolutional Neural Network for Phishing Attack Detection
The deep learning-based URL classification approach using massive observations has been verified especially in the field of phishing attack detection. Various improvements have been achieved through the modeling of character and word sequence of URL based on convolutional and recurrent neural networks, and it has been proven that an ensemble approach of each model has…
Read MoreA Task-based Paradigm for Promoting an Alternative Thinking Style in Teaching Mathematics
The article identifies an alternative style of thinking as one of the important components of human intellectual development. It is shown that it can be effectively implemented in mathematics lessons at school. The purpose of this study is to develop and substantiate a strategy for the formation of an alternative style of thinking among students…
Read MoreNumeric Simulation on the Waves from Artificial Anti-gravity upon General Theory of Relativity
This paper reports the algorithm, the input data and the result of the numeric simulation on the flows of the waves emitted from a rotating object that forms the artificial anti-gravity. First, an object with a heavy mass is placed in the 4-dimensional time and space, which is described by a fundamental tensor. Then the…
Read MoreBoltzmann-Based Distributed Control Method: An Evolutionary Approach using Neighboring Population Constraints
In control systems, several optimization problems have been overcome using Multi-Agent Sys- tems (MAS). Interactions of agents and the complexity of the system can be understood by using MAS. As a result, functional models are generated, which are closer to reality. Nevertheless, the use of models with permanent availability of information between agents is assumed…
Read MoreRemote Patient Monitoring Systems with 5G Networks
The new generation of mobile communications and the recent advances in data management are going to enable a fast transformation in the health sector of many countries. 5G networks, with superior technical characteristics, would allow the development of a new set of application and services gathered under the concept of eHealth. In this article we…
Read MoreIdentification of Genetic Variants for Prioritized miRNA-targeted Genes Associated with Complex Traits
Genome-wide association studies, or GWAS, have reported associations between SNPs and specific diseases/traits. GWAS results contain variants located in different genomic regions, including variants in the 3’UTR. MicroRNAs, or miRNAs, are small noncoding RNAs that bind to the 3’UTRs of genes to regulate gene expression. However, variant(s) that are located in the 3’UTR could impact…
Read MoreOptimized Multi-Core Parallel Tracking for Big Data Streaming Applications
Efficient real-time clustering is a relevant topic in big data streams. Data stream clustering needs necessarily a short time execution frame with bounded memory utilizing a one-scan process. Because of the massive volumes and dynamics of data streams, parallel clustering solutions are urgent. This paper presents a new approach for this trend, with advantages to…
Read MoreSynchronization in a Class of Fractional-order Chaotic Systems via Feedback Controllers: A Comparative Study
In this paper a synchronization methodology of two fractional-order chaotic oscillators under the framework of identical synchronization and master-slave configuration is introduced. The proposed methodology is based on a fractional-order feedback control design under the frame of control theory, the feedback controllers provide synchronization convergence. A comparative study between a proportional control, a nonlinear fractional-order…
Read MoreA Theory on How Strings Responds to Gravitation by Refraction in Curved Spacetime
General relativity and its modified theories are unable to account for quantum mechanics and cannot explain dark matter or the origin of the gravitation. This paper presents a theory that describes how Newtonian gravitation originates at the level of the particle, and how particles induce gravitation and respond to the source of gravitation. This paper…
Read MoreSLIP-SL: Walking Control Based on an Extended SLIP Model with Swing Leg Dynamics
This paper details an extension to the SLIP model named spring-loaded inverted pendulum model with swing legs (SLIP-SL). SLIP-SL extends the SLIP model by introducing swing leg dynamics while keeping its passive nature. This way, reference trajectories for the center of mass and swing foot trajectories can be simultaneously obtained which was not possible with…
Read MoreClosed Loop Capacitive Accelerometer Model using Simple Regression Test for Linearity
This article extends novelty of modeling capacitive accelerometer with PID controller to provide PI controller for better tuning and statistical test to determine the linear validation characteristics of closed capacitive accelerometer. Capacitive accelerometer is a sensor which uses the dynamic law of physics model Position-Velocity-Accelerator (PVA) by the movement of an electrode coupled to mass…
Read MoreAdvanced Multiple Linear Regression Based Dark Channel Prior Applied on Dehazing Image and Generating Synthetic Haze
Haze removal is an extremely challenging task, and object detection in the hazy environment has recently gained much attention due to the popularity of autonomous driving and traffic surveillance. In this work, the authors propose a multiple linear regression haze removal model based on a widely adopted dehazing algorithm named Dark Channel Prior. Training this…
Read MoreSurvey of Agent-Based Simulations for Modelling COVID-19 Pandemic
On the 11th of March 2020, the World Health Organization (WHO) declared COVID-19 as a pandemic. Part of controlling measures of the pandemic is to understand the disease’s trajectories. There are several possible interventions that can prevent and control its spread. Determining an optimal strategy is critical for policymakers to understand the impact of different…
Read MoreA Model-Driven Digital Twin Framework Development for Sulfur Dioxide Conversion Units Simulation
In the phosphate industry, sulfuric acid is a key compound in phosphoric acid and fertilizer production. Industrially, the sulfuric acid H2SO4 is made generally in a sequence of three main steps: burning liquid sulfur with air, catalytic oxidation of sulfur dioxide SO2 to sulfur trioxide SO3, and formation of H2SO4 by the reaction of H2O…
Read MoreVariation in Self-Perception of Professional Competencies in Systems Engineering Students, due to the COVID -19 Pandemic
The objective of this article is to determine if the self-perception of professional competences has been affected, in systems engineering students, during the health emergency declared in Peru by Covid-19; The results will allow the public university of Peru to make corrective decisions and formulate proposals to improve the functioning of the variable under study.…
Read MoreText Mining Techniques for Sentiment Analysis of Arabic Dialects: Literature Review
Social media attracts a lot of users around the world. Many reasons drive people to use social media sites such as expressing opinions and ideas, displaying their diaries and sharing them with others, social communication with family and friends and building new social relationships, learning and sharing knowledge. Written text is one of the most…
Read MoreComparation of Analytical Models and Review of Numerical Simulation Method for Blast Wave Overpressure Estimation after the Explosion
A comparative analysis of formulas for blast wave overpressure is presented in the paper, and models were compared with available experimental data. The Kinney and Shin models show the best agreement with experimental data (Kingery-Bulmash) for free airburst, while for surface burst, Swisdak, Vanuci, and Jeon models predict test data most accurately. One of the…
Read MoreCardiovascular Risk in Patients who go to the Medical Office of a Private Health Center in North Lima
Cardiovascular diseases are the group of conditions produced in the heart or blood vessels. This is one of the main causes of death in Peru and the world, produced mostly by non-communicable diseases and harmful habits, which makes it an extremely predictable disease. These factors include body mass index, smoking, diabetes, age, blood pressure, total…
Read MoreTechnological Stages of Schwartz Cylinder’s Computer and Mathematics Design using Intelligent System Support
In this paper, one of the “problem zones” in mathematics concerned with the surface area of three-dimensional bodies is presented by computer and mathematical modeling with synergetic effects using intelligent system support. The problems of personal self-organization and technological stages of student’s research activity in the process of modern achievements in science adaptation in teaching…
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