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Keyword: AIAnalytical Solution of Thick Rectangular Plate with Clamped and Free Support Boundary Condition using Polynomial Shear Deformation Theory
In this paper, a new polynomial shear deformation theory for the static flexural analysis of anisotropic rectangular thick plate was developed. The plate which carries a uniformly distributed load is clamped on the three edges, and free of support on the other edge (CCFC), is analyzed to determine the in-plane displacement, vertical displacement, bending moment,…
Read MoreExposure to Optical Radiation and Electromagnetic Fields at the Workplace: Criteria for Occupational Health Surveillance According to Current European Legislation
A very large number of workers is occupationally exposed to Optical Radiation (OR) worldwide, while indeed nowadays an exposure to Electromagnetic fields (EMF) can occur in almost all workplaces. OR origin can be natural, including the most relevant source, i.e. the sun, or artificial, that can be further classified in incoherent and coherent, i.e. the…
Read MoreA-MnasNet and Image Classification on NXP Bluebox 2.0
Computer Vision is a domain which deals with the challenge of enabling technology with vision capabilities. This goal is accomplished with the use of Convolutional Neural Networks. They are the backbone of implementing vision applications on embedded systems. They are complex but highly efficient in extracting features, thus, enabling embedded systems to perform computer vision…
Read MoreTexture Based Image Retrieval Using Semivariogram and Various Distance Measures
In a content-based image retrieval system(CBIR) feature classification,identification, and ex- traction play an important role. The retrieval of images using a single feature is a challenging task in CBIR systems. The high retrieval rates are reported based on combining multiple features, multiple algorithms and preprocessing steps, feature classification, and segmentation because the image retrieval are…
Read MoreTowards a Hybrid Probabilistic Timing Analysis
Real-time embedded systems are widely adopted in applications such as automotive, avionics, and medical care. As some of these systems have to provide a guaranteed worst-case execution time to satisfy the time constraints, understanding the timing behaviour of such systems is of the utmost importance regarding the reliability and the safety of these systems. In…
Read MoreSEA: An UML Profile for Software Evolution Analysis in Design Phase
Software evolution is one of the software process activities that occupies a major percentage of software development cost. Since requirements change continually and new technologies emerge, software should be adapted to satisfy these new changes to continue to survive. Despite software evolution being performed after software validation and deployment, software developers should predict at earlier…
Read MoreCombining ICT Technologies To Serve Societal Challenges
European counties continue to receive an increasing number of migrants and refugees from an also increasing number of both European and non-European countries. This results in a huge societal challenge which is societal inclusion of people speaking different languages and of diverse backgrounds. Key for their inclusion is job finding which comes with hurdles like…
Read MoreRobust Adaptive Feedforward Sliding Mode Current Controller for Fast-Scale Dynamics of Switching Multicellular Power Converter
Higher efficiency and lower losses are widely considered as the best metrics to optimize, in a high-power converter performance context. To provide a solution to the ever-increase of high switching frequencies challenges, we must explore soft-switching technologies to resolve interface issues and reduce the switching losses. This manuscript describes a comparative analysis between the fixed-bandwidth…
Read MoreImproved Fuzzy Time Series Forecasting Model Based on Optimal Lengths of Intervals Using Hedge Algebras and Particle Swarm Optimization
Recently, numerous scholars have suggested fuzzy time series (FTS) models to forecast many different fields. One of the vital issues for high accurate forecasting in FTS model is method of partitioning in Universe of discourse (UoD). In this research, we propose a novel FTS model, which is established by using hedge algebra (HA) and particle…
Read MoreFault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN
For systems using rotating machinery, diagnosing the faults of the rotating machinery is critical for system maintenance. Recently, a machine learning algorithm has been employed as one of the methods for diagnosing the faults of rotating machinery. This algorithm has an advantage of automatically classifying faults without an expert knowledge. However, despite a good training…
Read MoreThe Ecosystem of the Next-Generation Autonomous Vehicles
Autonomous vehicles (AVs) technology is expected to provide many benefits for the society such as providing safe transportation to the community and reducing the number of accidents on the roads. With the emergence of AVs, the conventional safety infrastructure in which humans drive their vehicles will need to be upgraded in order to take full…
Read MoreSIFT Implementation based on LEON3 Processor
This paper proposes a new method of implementation of the part of SIFT (Scale-Invariant Feature Transform) algorithm used to extract the feature of an image of a size 256×256 of pixels, which is mainly based on the using the LEON3 soft core processor .With this method it is possible to detect points of interest and…
Read MoreDeterminants that Influence Consumers’ Intention to Purchase Smart Watches in the UAE: A Case of University Students
It has been observed that the smartwatches have emerged quickly on the digital era with the ability to significantly influence daily life and improve users’ wellbeing, decisions, and behaviour. Nonetheless they are in their stages of adoption, smartwatches are marked the most widespread type of wearable technologies. Considering this, present work has been carried out…
Read MoreEvaluation of Facebook Translation Service (FTS) in Translating Facebook Posts from English into Arabic in Terms of TAUS Adequacy and Fluency during Covid-19
The study aims to verify the capacity of Facebook Translation Service in translating English Facebook posts into Arabic in terms of two criteria: adequacy and fluency in line with the Translation Automation User Society (TAUS) scales. To ensure consistency and objectivity as recommended by TAUS, six evaluators, native speakers of Arabic and near-native speakers of…
Read MoreWireless Sensor Networks Simulation Model to Compute Verification Time in Terms of Groups for Massive Crowd
Everyone needs fast response or output against its request or need. Therefore, technologies are used to make the processing fast and accurate according to our needs. But in some situations, still we need to do more. Especially, when we need to process a massive or huge crowd of people in limited time frame such as…
Read MoreAnalysis of the Bolivian Universities Scientific Production
The Bolivian higher education system comprises 59 universities; these institutions have the challenge of increasing their scientific production since it is one of the factors to provide quality education and meet one of the 17 Sustainable Development Goals (SDGs). But currently, the GDP assigned to the research and development (R&D) sector of Bolivia is 0.16%.…
Read MoreComparison between Collaborative Filtering and Neural Collaborative Filtering in Music Recommendation System
Music is one of the most popular entertainments, and the music industry continues to increase over time. There are many types of genres in music, and everyone has their own choice of the type of music they want to listen to. The recommendation system is an important function in the application, especially when there are…
Read MoreA Novel Approach to Design a Process Design Kit Digital for CMOS 180nm Technology
In this paper, a novel approach to design a Process Design Kit Digital for CMOS 180nm process is presented. This work proposes a detailed flow to design a PDK Digital using Ocean language, which is a vital element in the semi-custom design and applied in education purposes in universities in Vietnam. The PDK digital includes…
Read MoreAn algorithm for Peruvian counterfeit Banknote Detection based on Digital Image Processing and SVM
In this work we propose an algorithm for Peruvian counterfeit banknotes detection. Our algorithm operates in banknotes with 50, 100 and 200 soles denominations that were manufactured from 2009 onwards. This algorithm offers an automatic diagnosis based on digital image processing and support vector machines (SVM). Current Peruvian counterfeit detection systems are specially designed to…
Read MorePerformance Evaluation of a Gamified Physical Rehabilitation Balance Platform through System Usability and Intrinsic Motivation Metrics
Motivation significantly influences the outcome in the rehabilitation of patients. Several developments have been made to assess and increase patient motivation by addressing factors linked to motivation such as the personality of the patient, professional administering rehabilitation, and the rehabilitation environment. The main objective of the study is to evaluate the reliability of a gamified…
Read MoreAn Operational Responsibility and Task Monitoring Method: A Data Breach Case Study
As a result of digitalization, services become highly dependent on information systems thus increasing the criticality of security management. However, with system complexity and the involvement of more human resources, it becomes more arduous to monitor and track tasks and responsibilities. This creates a lack of visibility hindering decision making. To support operational monitoring, we…
Read MoreParameters Degradation Analysis of a Silicon Solar Cell in Dark/Light Condition using Measured I-V Data
In this paper, we investigate and analyze parameters degradation in a typical photovoltaic (PV) cell, which lead to power loss under dark as well as light condition using measured current-voltage (I-V) data. A nonlinear least squares method to extract the parameters such as the reverse saturation currents, the ideality factors, the series and shunt resistances…
Read MoreAllocation of Total Congestion Cost and load participation to Generators for a PoolCo Market in Deregulated Power System
The objective of this paper is to allocate transmission congestion cost to responsible generators using a novel method. Deregulation of the electrical power system leads to the compulsion of open access to the transmission system for all entities of the power system. There is a trend to utilize cheaper generators by all loads. This leads…
Read MoreArtificial Neural Network Approach using Mobile Agent for Localization in Wireless Sensor Networks
Wireless sensor networks (WSNs) are having large demands in enormous applications for the decade. The main issue in WSNs is estimating the exact location of unknown nodes. All applications are dependent on the location information of unknown nodes in WSNs. Location information of mobile anchor node is used to estimate the location of unknown nodes.…
Read MoreThe Performance of Project Teams Selected Based on Student Personality Types: A Longitudinal Study
The use of heuristic methods in teaching is not possible without the cooperation of all or part of the students’ academic group. That is, the teacher who made the decision to apply the heuristic method de facto solves the issues of organizing project method in teaching. There are a large number of indications on the…
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