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Keyword: REMultiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform
Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…
Read MoreA Novel Blockchain-Based Authentication and Access Control Model for Smart Environment
With the increase of smart factories and smart cities following the recent 4th industrial revolution, internal user authentication and authorization have become an important issue. The user authentication model using the server-client structure has a problem of forgery of the access history caused by the log manipulation of the administrator and unclearness of the responsibility.…
Read MoreModelling Human-Computer Interactions based on Cognitive Styles within Collective Decision-Making
The article proposes an approach to evaluate human-computer interaction in the collective decision-making model. It is believed that all team members interact with each other through a distributed information system. The approach involves considering, when modelling, the personality characteristics of perception, each member of the team as a set of cognitive styles. Within the scope…
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 MoreTypes and Concentrations of Catalysts in Chemical Glycerolysis for the Production of Monoacylglycerols and Diacylglycerols
Monoacylglycerol (MAG) and diacylglycerol (DAG) are structured lipids that have been widely used in various pharmaceutical, cosmetic, and food industries. MAG and DAG are generally produced by chemical glycerolysis. Chemical catalysts have been shown to be more efficient, economical, and effective. This study summarizes and discusses the factors that affect the synthesis of MAG and…
Read MoreDecision Support Model using FIM Sugeno for Assessing the Academic Performance
Assessing academic performance is a common way of evaluating and assessing the abilities of students in tertiary institutions. Usually it is practically performed based on the cumulative grade point average (GPA) at the end of each semester passed. Unwittingly there are many factors that are able to influence student performance results apart from GPA as…
Read MoreOptimal PMU Placement Using Genetic Algorithm for 330kV 52-Bus Nigerian Network
The phasor Measurement Unit is a modern tracking tool mounted on a network to track and manage power systems. PMU is accurate and time-synchronized device that gives voltage phasor measurements in nodes and current phasor measurements connected to those nodes where the PMU is installed. This study introduces the Genetic Algorithm for optimization of allocation…
Read MoreStochastic Behaviour Analysis of Adaptive Averaging Step-size Sign Normalised Hammerstein Spline Adaptive Filtering
We introduce a sign algorithm based on the normalised least mean square with Hammerstein adaptive filtering using adaptive averaging step-size mechanism, which is derived by the minimised absolute a posteriori squared error. To improve the performance by reducing computational complexity, we suggest an adaptive averaging using energy of errors to update step-size variant. The analysis…
Read MoreDriving Behaviour Identification based on OBD Speed and GPS Data Analysis
Vehicle accidents, particularly in small and large urban areas, are rising tremendously day by day worldwide. As a recent research subject in automaton transportation, the subsequent collision has become a vital issue and emergency. Internet of things (IoT) and the Internet of Vehicles (IoV) have become very popular these days because of their versatility, and…
Read MoreOptimized use of RFID at XYZ University Library in Doing Auto Borrowing Book by Utilizing NFC Technology on Smartphone
NFC (Near Field Communication) is a contactless communication technology based on a radio frequency (RF) field using a base frequency of 13.56 MHz. NFC technology is perfectly designed to exchange data between two devices via simple touch gestures. RFID is the process of identifying an object directly by radio frequency. There are two important components…
Read MoreLacol Interpolation Bicubic Spline Method in Digital Processing of Geophysical Signals
The paper a cubic spline built through a local base spline and the local interpolation bicubic spline models we offer have been selected. The construction details of the models are given, the two-dimensional local interpolation bicubic spline models considered in this study provide high accuracy in digital processing of signals, which helps experts to make…
Read MoreA Proposed Framework to Improve Containerization from Asia to North America
The constant market change and the critical role of the logistics process in the supply chain need to have special attention because it is an essential piece for the global business strategy. This paper presents an assessment of the processes of handling material from Asia suppliers to North America. The data utilized for the analysis…
Read MoreDevelopment of Hexa Spacer Damper for 765 kV Transmission Lines’ Vibration Damping
In this paper, hexa spacer damper is proposed and its vibration damping effect on the 765 kV power transmission network under the influence of fluctuating wind (10-60 Hz) loading is validated. This asymmetrical loadings led the bundle of Zebra ACSR conductor to be twisted and hence, cause mechanical and electrical instabilities across the span length.…
Read MoreAnalysis of Pharmaceutical Company Websites using Innovation Diffusion Theory and Technology Acceptance Model
The progress of information using websites is developing fast, impacting various sectors, one of which is pharmaceutical companies. Pharmaceutical companies have roles in drug manufacturing, pharmaceutical distribution, and essential services for the community—the most important and challenging activity in the IT department. The researcher is responsible for one of the Bandung pharmaceutical companies. Researchers are…
Read MoreOctalysis Audit to Analyze gamification on Kahoot!
Since its release in 2013, 4.4 billion people around the world have used Kahoot!. Various topics with multiple languages have been made so that there are at least 200 billion games. A very high number for an educational application. Why Kahoot! So interesting? This study aims to analyze the gamification elements found in Kahoot! as…
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…
Read MoreStudy of latencies in ThingSpeak
IoT platforms play an important role on modern measurement systems because they allow the ingestion and processing of huge amounts of data (big data). Given the increasing use of these platforms, it is important to characterize their performance and robustness in real application scenarios. The paper analyzes the ThingSpeak platform by measuring the latencies associated…
Read MoreChaos-Based Image Encryption Using Arnold’s Cat Map Confusion and Henon Map Diffusion
This research designed an image encryption system that focused on securing teledermatology data in the form of skin disease images. The encryption and decryption process of this system is done on the client side using chaos-based encryption with confusion and diffusion techniques. Arnold’s cat map is the chaotic map model used for confusion, while the…
Read MoreOptimizing the Wind Farm Layout for Minimizing the Wake Losses
The development of wind farms requires an optimal design of wind turbines layout. The main goal of this optimization is to minimize the wake effect through the optimal placement of the wind turbines. The current study aims to standardize the wake losses among all wind turbines in the wind farm and bringing their losses to…
Read MoreRanking the Most Important Attributes of using Google Classroom in online teaching for Albanian Universities: A Fuzzy AHP Method with Triangular Fuzzy Numbers and Trapezoidal Fuzzy Numbers
This paper has conducted the study of the impact and effectiveness of Google Classroom in online teaching and learning. Based on the unified theory of acceptance and use of technology (UTAUT2), the first aim was to rank the 8 constructs namely: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Habit, Behavioral Intention, and…
Read MoreSimulation of Pulse Width Modulation DC-DC Converters Through Symbolic Analysis Techniques
The problem of Pulse Width Modulated (PWM) DC-DC converter simulation is faced in this paper. It is shown how the analysis of this kind of circuits, nonlinear and switching for their nature, can be easily and quickly executed by using symbolic analysis techniques. The paper also presents the program SapWinPE, which performs an automatic symbolic…
Read MoreDistance Teaching-Learning Experience in Early Childhood Education Teachers During the Coronavirus Pandemic
The purpose of the study was to describe the experiences of teachers in the distance teaching-learning process in early childhood education during the covid-19 pandemic. The methodology used was qualitative descriptive. Interviews were conducted with thirteen teachers from four state educational institutions at the infant level in Lima city through the virtual platform. As a…
Read MoreIndoor Positioning System using WKNN and LSTM Combined via Ensemble Learning
Indoor positioning system (IPS) has become a high demand research field to be developed and has made considerable progress in recent years. Wi-Fi fingerprinting is the most promising technique that produces an acceptable result. However, despite the large amount of research that has been done using Wi-Fi fingerprinting, only a few Wi-Fi based IPS in…
Read MoreHeuristic Techniques as Part of Heuristic Methods and Interaction of Personality Types in their Application
The widespread team project method is more effective when used in conjunction with heuristic methods. The large number of heuristic methods and the variety of their descriptions create a problem to prepare students for the use of these methods. A method based on two areas of knowledge – heuristics and psychology – is proposed. The…
Read MoreLevel of Empathy in Nursing Students Attending Clinical Practices of the Universidad de Ciencias y Humanidades
Empathy in the care of the patient by the nursing students is important because it allows having the capacity of response towards the patient, this study aimed to determine the level of empathy in nursing students who attend in clinical practices of the Universidad de Ciencias y Humanidades. This is a cross-sectional study, with a…
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