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Keyword: SystemsA-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 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 MoreFactors Impacting Digital Payment Adoption: An Empirical Evidence from Smart City of Dubai
The emergence of new digital payment technologies has introduced both opportunities and challenges across all industries. This research aims to examine the significant factors that influence the adoption of new e-payment technologies, specifically in smart cities, as in Dubai. A comprehensive theoretical framework based on several previous studies included the following factors; Perceived Usefulness, Perceived…
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 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 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 MoreUsing a safety PLC to Implement the Safety Function
Nowadays almost every PLC manufacturer offer a so-called safety PLC. It is a specific category of PLC, which in recent years have become a commonly used means of performing safety functions, especially in industrial applications. In this area of specific applications, a maximum of SIL 3 is normally required. However, the guaranteed safety features of…
Read MoreSimulated IoT Based Sustainable Power System for Smart Agriculture Environments
In vital energy applications especially the agricultural environments, the service of adaptive power utilization plays an essential role in facilitating the usage of Internet of Things systems. Such environments are distinguished by the large range of lands where most of the region lacks the commercial power lines. Reaching some high or deep sensing points is…
Read MoreTransient Stability Enhancement of a Power System Considering Integration of FACT Controllers Through Network Structural Characteristics Theory
Modern power systems are topologically and structurally complicated due to their complex interconnections. Consequently, the complexity of the dynamic stability assessment be-comes more tedious, most especially, when considering a power electronics-based power system operating under faulty conditions. This paper, therefore suggests an alternative approach of Network Structural-Based Technique (NSBT) for the analysis and enhancement of…
Read MoreActive Disturbance Rejection Control Design for a Haptic Machine Interface Platform
This paper proposes an active disturbance rejection control (ADRC) design for a haptic display platform structure. The motivation for the following scheme originates from the shortcomings faced by classical proportional integral derivative (PID) controllers in control theory. The ADRC is an unconventional model-independent approach, acknowledged as an effective controller in the existence of total plant…
Read MoreContingency Plan in the Supply Chain of Companies in the Retail Industry in the Face of the Impacts of COVID-19
The main issue that is being presented in 2020 is the impact that all organizations are having due to the COVID-19 pandemic, and it is not for less given the global collapse that is occurring in all aspects. Many organizations have been affected by this catastrophe and in the face of an unforeseen scenario, the…
Read MoreMobile Application Design for Student Learning
The research objectives were to identify, analyze needs, as well as designing a mobile application for student online learning at PT. Ruang Raya Indonesia, particularly in the process of working on tasks assigned by the teacher. The methods used in this research are data collection method using Slovin theory, systems analysis by focusing on the…
Read MoreA Recommendation Approach in Social Learning Based on K-Means Clustering
E-learning, among the most prominent modes of learning, offers learners the opportunity to attend online courses. To improve the quality of online learning, social learning through social networks promotes interaction and collaboration among learners. As part of the learning process management in these environments, the implementation of recommendation systems facilitates the provision of content adapted…
Read MoreAn Innovative Angle of Attack Virtual Sensor for Physical-Analytical Redundant Measurement System Applicable to Commercial Aircraft
The angle of attack is a critical flight parameter for commercial aviation aircraft, because automatic envelope protection systems rely on it to keep the aircraft within its safe flight envelope. Faulty measurements of the angle of attack could have catastrophic effects, leading to aircraft loss of control in flight and fatalities, as demonstrated by the…
Read MoreAn Enhanced Artificial Intelligence-Based Approach Applied to Vehicular Traffic Signs Detection and Road Safety Enhancement
The paper treats a problem for detection and recognition objects in computer vision sector, where researchers recommended OpenCV software and development tool, it’s several and better-remembered library resource for isolating, detecting, and recognition of particular objects, what we would find an appropriate system for detecting and recognition traffic roads signs. The robustness with optimization is…
Read MoreParticle Swarm Optimization, Genetic Algorithm and Grey Wolf Optimizer Algorithms Performance Comparative for a DC-DC Boost Converter PID Controller
Power converters are electronic devices widely applied in industry, and in recent years, for renewable energy electronic systems, they can regulate voltage levels and actuate as interfaces, however, to do so, is needed a controller. Proportional-Integral-Derivative (PID) are applied to power converters comparing output voltage versus a reference voltage to reduce and anticipate error. Using…
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 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 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 MoreDeep Learning based Models for Solar Energy Prediction
Solar energy becomes widely used in the global power grid. Therefore, enhancing the accuracy of solar energy predictions is essential for the efficient planning, managing and operating of power systems. To minimize the negatives impacts of photovoltaics on electricity and energy systems, an approach to highly accurate and advanced forecasting is urgently needed. In this…
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 MoreMathematical Modelling of Output Responses and Performance Variations of an Education System due to Changes in Input Parameters
“This paper is an extension of work originally presented in the 4th International Conference on Systems of Collaboration, Big Data, Internet of Things & Security -SysCoBIoTS’19”. The use of complex and dynamic systems modelling to social systems is quite recent and its pertinence in the case of an educational system is continually increasing. For the…
Read MoreOptimal Sizing of a Renewable Energy Hybrid System in Libya Using Integrated Crow and Particle Swarm Algorithms
Sizing optimization should be used to design an efficient, sustainable, and feasible hybrid system. In this paper, a hybrid power plant consisting of an off-grid photovoltaic and wind energy system was planned to supply the demand of residential houses in Libya. To minimize installation and operational costs by sizing each part of the hybrid system,…
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