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Keyword: MeasureCorrelation-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 MorePerformance Analysis of Go-Back-N ARQ Protocol Used in Data Transmission Over Noisy Channels
Automatic Repeat reQuest (ARQ) protocols are used to control transmission errors in data communications. They are used at Data Link Control (DLC) sublayer of Data Link Layer (DLL) of OSI (Open Systems Interconnection) network model to achieve flow and error control and provide smooth and reliable transmission between network nodes. ARQ protocols use acknowledgments and…
Read MoreApplication of EARLYBREAK for Line Segment Hausdorff Distance for Face Recognition
The Hausdorff distance (HD) is defined as MAX-MIN distance between two geometric objects for measuring the dissimilarity between two objects. Because MAX-MIN distance is sensitive with the outliers, in face recognition field, average Hausdorff distance is used for measuring the dissimilarity between two sets of features. The computational complexity of HD, and also average HD,…
Read MoreNeural Network-Based Fault Diagnosis of Joints in High Voltage Electrical Lines
In this paper a classification system based on a complex-valued neural network is used to evaluate the health state of joints in high voltage overhead transmission lines. The aim of this method is to prevent breakages on the joints through the frequency response measurements obtained at the initial point of the network. The specific advantage…
Read MoreThe Sound of Trust: Towards Modelling Computational Trust using Voice-only Cues at Zero-Acquaintance
Trust is essential in many interdependent human relationships. Trustworthiness is measured via the effectiveness of the relationships involving human perception. The decision to trust others is often made quickly (even at zero acquaintance). Previous research has shown the significance of voice in perceived trustworthiness. However, the listeners’ characteristics were not considered. A system has yet…
Read MoreA Survey on 3D Hand Skeleton and Pose Estimation by Convolutional Neural Network
Restoring, estimating the fully 3D hand skeleton and pose from the image data of the captured sensors/cameras applied in many applications of computer vision and robotics: human-computer interaction; gesture recognition, interactive games, Computer-Aided Design (CAD), sign languages, action recognition, etc. These are applications that flourish in Virtual Reality and Augmented Reality (VR/AR) technologies. Previous survey…
Read MoreOptimization of Dual Motion Mechanism with Double Grooved Cams for High-voltage Gas Circuit Breaker
A novel design of a dual motion mechanism for a high-voltage gas circuit breaker is presented. The contact motion of the circuit breaker due to the operating mechanism increases capacitive current switching (CCS) performance. CCS is one of the interrupting duties of the circuit breaker, where high voltage is applied during the half cycle from…
Read MoreMonte Carlo Estimation of Dose in Heterogeneous Phantom Around 6MV Medical Linear Accelerator
In this work, we completed a validation of the Varian Clinac IX equipped with the High Definition Multi-Leaf Collimator (HD 120 MLC) instead of the removable jaws, using GATE Monte Carlo Platform version 8.2. We validated the multileaf collimator (MLC) geometry by simulating two dosimetric functions (Percentage Depth Dose (PDD) and Dose Profile (DP)), for…
Read MoreDegradation Process in Pipeline and Remaining Useful Lifetime Estimation Based on Extended Kalman Filtering
Degradation measurements are often treated and analyzed for improvement the reliability of system. Our objective in this paper is to study a class of non linear systems, whose dynamics and observations are non linear functions of the state. Obviously, we develop an Extended Kalman Filtering (EKF) algorithm for detecting the additive failures in a two…
Read MoreA Framework for Measuring Workforce Agility: Fuzzy Logic Approach Applied in a Moroccan Manufacturing Company
In today’s Moroccan business environment, companies need to implement organization agility by developing an agile workforce that is able to deal with the environment volatility. Thus, the agile workforce concept has been appeared as a necessary and sufficient condition to achieve agility. Focusing on agile enablers influencing workforce agility is an important area but currently…
Read MoreDesign and Optimization of Dual-Band Branch-Line Coupler with Stepped-Impedance-Stub for 5G Applications
This paper presents a design optimization of a dual-band branch-line coupler with stepped-impedance-stub lines. This coupler operates over 5G NR frequency bands n5 and n2, developed by 3GPP for the 5G (fifth generation) mobile network, and these two bands are centered at 0.85 GHz and 1.9 GHz respectively. To achieve the design specifications an adjusted…
Read MoreEvaluation of Type A Uncertainty in a Network Analyzer From 300 kHz to 8.5 GHz
Network Analyzer is equipment widely used for the execution of radio frequency application scattering parameters. Throughout absolute reading the scattering parameter measured. An absolute reading does not include error, drift, offset, linearity, resolution, coefficient of sensitivity and several other variables that will contribute to the measured measurement dispersion. Type A evaluations of measurement uncertainty clarified…
Read MoreNon Parallelism and Cayley-Menger Determinant in Submerged Localization
This research paper portraits the technique to determine location of submerged nodes with Cayley-Menger determinant and associated problems with non-parallel states. Cayley-Menger determinant is considered to be the usual means to determine the coordinates of the nodes with a single node where the plane of beacon i.e. beacon’s surfing plane and the plane created by…
Read MoreExperimental Studies of the Silicon Photomultiplier Readout Electronics Based on the Array Chip МН2ХА030
The experimental findings of the main units of readout electronics of silicon photomultipliers (SiPMs) based on array chip (AC) МН2ХА030: a charge-sensitive amplifier (CSA) with an adjustable conversion factor and a base line restorer (BLR) circuit and two types of voltage comparators are considered. The electrical circuits of the units, the measurement results of static…
Read MoreActigraph Analysis of Elderly Dementia Patients During Phototherapy Using Non-Linear Analysis
Dementia is one of the three primary diseases that increases the level of nursing care required for the elderly. Dementia can lead to an increased burden not only on those who have contracted it, but also their families and the surrounding environment; initiatives for preventing dementia and slowing the decline of cognitive function are expected…
Read MoreEvaluation of Mini-Hydro Power for Off Grid Electrification in Rural/Isolated Areas in Africa
Rural electrification and sustainable energy services to the less privileged is à major challenge faced in Nigeria. Off-grid power generation via small hydropower plant would mitigate this challenge. This Paper discusses the awareness and assessment of small hydro power for off-grid electrification in rural/isolated areas in Nigeria. In this research, the method of onsite data…
Read MoreAnalysis of Two-Dimensional Electron Gas Formation in InGaAs-Based HEMTs
In this study, a theoretical simulation was performed using the Schrodinger-Poisson method to elucidate the formation factors for two-dimensional electron gas in InGaAs-based HEMTs. No visible change was observed in the carrier density and the potential shape. The inflection point of the energy level and the agreement of the energy level in each dimension were…
Read MoreThe Usability Evaluation of Academic Progress Information System (SIsKA-NG)
Limited functionalities of the Academic Progress Information System (SIsKA) has direct consequences on the quality of thesis management service at the authors’ magister study program of the authors’ university. This research focused on the significant improvement from the previous User Experience Questionnaire (UEQ) result of SIsKA. That significant improvement was based on the recommendations from…
Read MoreA Comparative Analysis of ARIMA and Feed-Forward Neural Network Prognostic Model for Bull Services
Bull service is the natural copulation by a purebred male carabao with a female counterpart. This is part of the bull loan agenda of the Philippine Carabao Center-Visayas State University (PCC-VSU), one of the 12 regional centers of PCC. For the past years, PCC-VSU used averaging of bull services count of previous years and sometimes…
Read MoreA Critical Analysis of Usability and Learning Methods on an Augmented Reality Application for Zoology Education
In recent years, research has been conducted focused on the use of technologies in the classroom, but one of the main problems is to demonstrate that the use of this technology favors learning compared to traditional methods. One of these technologies is augmented reality that allows seeing virtual objects superimposed in the real world, but…
Read MoreOptimization of Low Temperature Differential Stirling Engine Regenerator Design
Stirling engines working with relatively low temperature are attractive for the future, especially for applications like water pumping without concentration system and low temperature heat recovery. The present work is the continuation of a series of works on the optimization of this type of machines. The main objective of this paper is to investigate the…
Read MoreThe Effectiveness of Personality-Based Gamification Model for Foreign Vocabulary Online Learning
Currently, there is a growing interest for applying gamification in e-learning due to innovations in technologies and pedagogies. However, motivation and engagement related problems can arise when the gamification elements are not personalized to match the individual’s needs. Therefore, this research proposes a Hybrid Learning Model that combines both Gamification and Personality Traits to increase…
Read MoreAnalyzing Job Tenure Factors in Private and Public Companies in Albania by Using Cox Proportional Hazards Model
Job tenure is an important factor for both employees and employers. Sometimes, for employees, this time is a criterion in starting new job, and also for employers when they have to hire new employees. It measures the length of time that employees have been in their current job or with their current employer. Analyzing factors,…
Read MoreReview on Outliers Identification Methods for Univariate Circular Biological Data
Circular data are common in biological studies which are involved angle and direction measurements. An outlier in circular biological data mostly related to the abnormality of the data set. The existence of outliers may affect the final outcome of a data analysis. Thus, an outliers’ identification method is essential in circular biological data to determine…
Read MoreAnalysis of Reducing Defect Waste in Rubber Product for Magnetic Disk Drive Industry
Productivity is increasing when less input was used in getting the same outcomes. Thus, the effectiveness of productive effort, especially in industry, as measured in terms of the rate of output per unit of input. As in derivative rubber industry which is producing the seal product for final assembly of Disc Drive. The function of…
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