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Keyword: SATMinimum Static VAR Compensation Capacity for Bad Voltage Drop Buses in Power Systems
The quality of the electric power system must be maintained properly, one of which is voltage. Under certain operating conditions, the bus voltage may drop below its minimum level, called bad voltage. A large reactive load can cause a voltage drop across the bus or the location of the bus is far from the generator…
Read MoreTemperature-Compensated Overcharge Protection Measurement Technology
Recently, many problems have been caused by battery fires. The existing BMS(Battery Managment System) measured the voltage of each cell of the battery through the physical connection between the battery and the control module. However, if a battery with up to 1000 VDC becomes inoperable due to an external factor, the battery is damaged, and…
Read MoreMetaheuristic Optimization Algorithm Performance Comparison for Optimal Allocation of Static Synchronous Compensator
The relevance of static synchronous compensator (STATCOM) controllers in controlling power network parameters is causing them to be included in contemporary networks. But for the intended objectives to be attained, the best device positioning and parameter settings are essential. This work compares the performance of the particle swarm optimization (PSO) and firefly algorithm (FA) in…
Read MoreDeveloping CubeSat and AI Framework for Crowd Management Case of Short-Term Large-Scale Events
Many consequences can be resulted in mismanagement of crowd, which might get people injured or even lose their lives. Thus, crowd management helps in controlling overcrowded areas during events, and allowing authorities to monitor, manage and reduce incidents. Space science and technology have made huge leap in crowd management, let alone when this technology integrated…
Read MoreDiscretisation of Second Order Generalized Integrator to Design the Control Algorithm of Unified Power Quality Conditioner
In this paper, second order generalized integrator (SOGI) is discretized to design the control algorithm of unified power quality conditioner (UPQC). A UPQC is combination two voltage source converter (VSC) and VSC are connected with back to back DC link. The first one VSC is in series to maintain the desire voltage at point of…
Read MoreAntecedents to Learners’ Satisfaction with Serious Games: An Investigation Using Partial Least Square
Serious games are at the forefront of discussions about the future of learning. Research shows that they can help improve student motivation and knowledge transfer by making learning experiences more pleasurable. Teaching practices are increasingly enhanced or complemented by serious games; skills and knowledge are developed by recreating realistic situations allowing learners to enhance their…
Read MoreReal Time RSSI Compensation for Precise Distance Calculation using Sensor Fusion for Smart Wearables
To effectively implement the social distancing or digital contact tracing in epidemic using an RSSI-based localization approach through Bluetooth beacon is one of the most widely used technologies, but simply using RSSI measurement is not more relevant because the RF signal is affected by several factors and the environment of usage. Traditional distance or positioning…
Read MoreOptical Satellite Images Services for Precision Agricultural use: A Review
The recent advances in geoscience technologies and earth observation tools have evolved in recent years in a fast cadence. Since 1980 with the apparition of Landsat mission firstly named the Earth Resources Technology Satellite, with 80 m spatial resolution; the ability to capture finest details was limited. The emergence of new concepts in agriculture like…
Read MoreQuality Function Deployment: Comprehensive Framework for Patient Satisfaction in Private Hospitals
This paper addresses the quality of private healthcare services in the western region of the Kingdom of Saudi Arabia (KSA) and provides a comprehensive analysis of the customer requirement to improve the quality of these services. The study begins by reviewing literature on the subject of quality in general and then in terms of the…
Read MoreAutomatic Comprehension and Summarisation of Legal Contracts
Contracts may range from a simple agreement between a tenant and a landlord or a gym contract, or it could be as important as an employment or marital contract. No matter the level of importance, individuals are legally obligated to obey and carry out all clauses in the contract. In this paper, we have identified…
Read MoreComparison of Support Vector Machine-Based Equalizer and Code-Aided Expectation Maximization on Fiber Optic Nonlinearity Compensation Using a Proposed BER Normalized by Power and Distance Index
Advances in optimizing optical fiber communications have been on the rise these recent years due to the increasing demand for larger data bandwidths and overall better efficiency. Coherent optics have focused on many kinds of research due to its ability to transport greater amounts of information, have better flexibility in network implementations, and support different…
Read MoreThe Effect of E-Service Quality on Customer Satisfaction and Loyalty (Case Study at E-Marketplace XYZ in Indonesia)
Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…
Read MoreAn Empirical Comparison of Different Two-Factor Models in the Context of Portfolio Optimisation
The crisis linked to the COVID-19 and the uncertainty it generates in the unprecedented health, societal, economic and financial fields have had a strong impact on the stock markets. Indeed, in such a climate of very high uncertainty, it is to be expected that the excessive stock market price movements will continue, with both declines…
Read MoreAdvances in Optimisation Algorithms and Techniques for Deep Learning
In the last decade, deep learning(DL) has witnessed excellent performances on a variety of problems, including speech recognition, object recognition, detection, and natural language processing (NLP) among many others. Of these applications, one common challenge is to obtain ideal parameters during the training of the deep neural networks (DNN). These typical parameters are obtained by…
Read MoreGrowth Models and Age Estimation of Rice using Multitemporal Vegetation Index on Landsat 8 Imagery
Age and growth are two essential rice biophysics parameters used to determine the health parameters and production rate. The spatial data of both parameters can utilize remote sensing technology, which in turn makes use of several vegetation indices to achieve accurate estimation. However, due to the rapid changes in rice plants’ characteristics, it is essential…
Read MoreCorrelation-Based Incremental Learning Network for Gas Sensors Drift Compensation Classification
A gas sensor array is used for gas analysis to aid in an inspection. The signals from the sensor array are fed into machine learning models for learning and classification. These signals are characterized by time series fluctuating according to the environment or drift. When an unseen pattern is entered, the classification may be incorrect,…
Read MoreCustomer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques
Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction…
Read MoreSatisfaction of Old Graduates of Zootechnical Engineering for Improvement of Educational Quality at the UNCP
Concept of university higher education quality is linked to the relevance of an educational project that promotes institutional transformation to improve the comprehensive training of new professionals. In this context, the research objective is to determine the graduates satisfaction level, trained with curricula 1979, 1985 and 1995 who have more than 20 years of graduation…
Read MoreSkin Tissue Oxygen Saturation Prediction: A Comparison Study of Artificial Intelligence Techniques
Noninvasive measurement of skin tissue oxygen saturation, StO2, is of interest especially in the studies of wound healing and detection of vascular diseases. This work aims to compare Partial Least Square (PLS) regression, K-Nearest Neighbor (KNN) and Artificial Neural Network (ANN) technique in the prediction of StO2 using spectral data obtained from Monte Carlo simulations.…
Read MoreAn Exploratory Qualitative Study of the Influence of Hospital Logistics Factors on Quality of Care and Patient Satisfaction at Public Hospitals in Morocco
The purpose of this qualitative research was to explore the influence of hospital logistics on quality of care and patient satisfaction. Hospital logistics was assessed by considering five factors in the patient pathway, namely: physical accessibility of care, waiting time, consultation time, administrative procedures and hospital hotel services. Semi-structured interviews were conducted, following an interview…
Read MoreComparative Analysis of Student Dissatisfaction of the Continuing Academic Semesters at UNTELS
Student dissatisfaction is of the utmost importance when it comes to establishing a process of continuous improvement in a University. Currently, at the National Technological University of Lima Sur (UNTELS) there is no information regarding the levels of student dissatisfaction with the services offered by UNTELS. In this context, the purpose of this research project…
Read MoreSpiral Curve for Revocable Touchless Fingerprint Template Securisation
Fingerprint data is really protected by cancelable fingerprint template because it can be revoked when compromise and a new one can be reissued. We develop a touchless cancelable fingerprint template whose algorithm was published in our previous work. We implement here the algorithm and conducted several tests on several databases to confirm the stability of…
Read MoreThe Relationship of Coalition on Employee Spiritual Engagement: Interplay of Organisational Politics
The objective of the study was to establish the relationship between coalition and employee spiritual engagement. The research was quantitative, and data was administered and retrieved from employees at the selected private radio firms. Content validity was utilised to ascertain the validity of the instrument, and the reliability of the instrument was established using Cronbach’s…
Read MoreSatisfaction of the Graduate for the Continuous Improvement of Educational Quality in UNTELS
The Universidad Nacional Tecnologica de Lima Sur (UNTELS), like all universities, has as one of its objectives the training of professionals with skills that the changing working world requires. One way to establish the relevance of what UNTELS offers to its students is to know relevant information from graduates that entails, to their authorities, establish…
Read MoreApplication of Open-Source Optimization Library “Extremum” to the Synthesis of Feedback Control of a Satellite
Current work demonstrates how open-source optimization library ”Extremum” (OSOL Extremum) can be used to build feedback controller of a satellite. Proposed software was developed to as an attempt to eliminate current problems that are present in scientific area: black-box effect (i.e. there is no opportunity to explore source code, modify it, or simply verify), no…
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