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Keyword: REA Support Vector Machine Based Technique for Fault Detection in A Power Distribution Integrated System with Renewable Energy Distributed Generation
The integration of renewable energy distributed generation (REDG) into the energized distribution power grid has become more popular in recent years. This has been escalated by the general global energy shortages. The REDG has proven to be effective for energy sustainability and reliability. However, there are technical challenges which arise from integrating REDG into the…
Read MoreOrganizational Agility Assessment of a Moroccan Healthcare Organization in Times of COVID-19
Since its appearance, COVID-19 has severely impacted the healthcare sector all over the world. The healthcare organizations should be agile in order to cope with this new health crisis. Indeed, organization agility was highly recommended as an essential basis for flexibility, innovation, speed, as well competitiveness. Different research provided different conceptual models suitable to evaluate…
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 MoreDevelopment Trends of Smart Cities in the Future – Potential Security Risks and Responsive Solutions
Smart cities are an indispensable development of the ongoing urbanization process world- wide. Currently, smart cities are being built and deployed by countries in the first steps. Based on research on the current state of developing smart cities in the world, the author forecasts the future development trends of such cities, pointing to one of…
Read MoreIoT Based Human Activity Recognition System Using Smart Sensors
Internet of Things provides a virtual view of real-life things by guiding challenges faced by persons in daily life. It is reforming our world with trillions of sensors and other IoT enabled devices by creating a smart environment. Effective use of IoT sensors in various smart IoT applications is very important. After analyzing different sensor…
Read MoreDecision Making System for Improving Firewall Rule Anomaly Based on Evidence and Behavior
Firewalls are controlled by rules which often incur anomalies. The anomalies are considered serious problems that administrators do not desire to happen over their firewalls because they cause more vulnerabilities and decrease the overall performance of the firewall. Resolving anomaly rules that have already occurred on the firewall is difficult and mainly depends on the…
Read MoreRemote Control of Garden Plantation Water Pumps using Arduino and GSM Mobile
A remotely mobile phone controlled electronic system for supplying water to garden plantations in a greenhouse or similar environment was designed and experimentally implemented. The system monitors the garden environmental conditions such as soil moisture, temperature, humidity and sunlight and a remote user can send commands from his mobile phone such as to switch ON/OFF…
Read MoreAssessing the Operator’s Readiness to Perform Tasks of Controlling by the Unmanned Aerial Platforms
Together with the intensity of development in the field of technology of unmanned platforms and their effective use for solving various tasks of peacetime and war, the requirements for the training of the operator managing the platform also increase. This fully applies to personnel providing the flight of manned means. Nevertheless, there are significant differences…
Read MoreA CNN-based Differential Image Processing Approach for Rainfall Classification
With the aim of preventing hydro-geological risks and overcoming the problems of current rain gauges, this paper proposes a low-complexity and cost-effective video rain gauge. In particular, in this paper the authors propose a new approach to rainfall classification based on image processing and video matching process employing convolutional neural networks (CNN). The system consists…
Read MoreA Framework of E-Procurement Technology for Sustainable Procurement in ISO 14001 Certified Firms in Malaysia
With the current emerging development pattern in Malaysia, E-Government has been unveiled by the Malaysian Government to be one of the multimedia super corridor flagship applications to implement digital technology to improve government operations. E-procurement was originally utilized by businesses to minimize turnaround times and prices, but recently it was often used as a platform…
Read MorePotential of Solar Energy in Residential Rooftop Surface Area in Semarang City, Indonesia
This study examines the potential of solar energy in the urban environment with a case study in Semarang, Indonesia by analyzing the intensity of solar radiation and the residential rooftop area. The study aims to obtain a quantitative description of the potential for electricity production from rooftop solar photovoltaic systems in residential areas and estimate…
Read MoreDevelopment of Soil Moisture Monitoring by using IoT and UAV-SC for Smart Farming Application
Soil moisture is a fundamental factor for smart farming that is used to control the water management system. In this paper, the unmanned aerial vehicle (UAV) small cell (UAV-SC) can provide Internet of things (IoT) as the hotspot mobility network, due to the minimum limitation energy of connected IoT. The development of ground sensor (GS)…
Read MoreDesign and Optimization of a Three Stage Electromechanical Power Unit using Numerical Methods
The advent of electric vehicles has changed the face of the automobile industry. The drive system properties of vehicles such as eBikes or electric cars differ fundamentally from those of a diesel engine. The lack of a conventional internal combustion engine has made the vehicles considerably silent. Nevertheless, previously hidden sources of vibration and noise…
Read MoreComputational Intelligence and Statistical Learning Performances on Predicting Dengue Incidence using Remote Sensing Data
Dengue is a viral infection disease transmitted to people through the bite of specific mosquito species living in a tropical zone. According to the World Health Organization, dengue has been listed among the top-ten diseases for 2019 as it makes 3.9 billion people in 128 countries be at risk of infection. One major cause of…
Read MoreDistributed Microphone Arrays, Emerging Speech and Audio Signal Processing Platforms: A Review
Given ubiquitous digital devices with recording capability, distributed microphone arrays are emerging recording tools for hands-free communications and spontaneous tele-conferencings. However, the analysis of signals recorded with diverse sampling rates, time delays, and qualities by distributed microphone arrays is not straightforward and entails important considerations. The crucial challenges include the unknown/changeable geometry of distributed arrays,…
Read MoreLogistics Solutions in the Preparation Phase for the Appearance of Disasters
Natural disasters have caused not only economic but also human losses. These events bring with them, among other things, deficiencies in the supply of food, clothing, health and cleaning products, to name a few. This situation makes it imperative to locate facilities that can supply the needs, as mentioned earlier, to the victims in the…
Read MoreDeep Learning Model for A Driver Assistance System to Increase Visibility on A Foggy Road
For many years, a lot of researches have been made to develop Advanced Driver Assistance Systems (ADAS) that are based on integrated systems. The main objective is to help drivers. Hence, keeping them safe under different driving conditions. Visibility for drivers remains the biggest problem faced on the road in an atmosphere of fog. In…
Read MoreOptimization of the Procedures for Checking the Functionality of the Greek Railways: Data Mining and Machine Learning Approach to Predict Passenger Train Immobilization
Information is the driving force of businesses because it can ensure the ability of knowledge and prediction. The railway industry produces a huge volume of data, with the proper processing of them and the use of innovative technology, there is the possibility of beneficial information to be provided which constitute the deciding factor for the…
Read MoreDiffusion of Technology for Language Challenges in the South African Healthcare Environment
Even though mobile technologies are increasingly used to enable communications between providers and receivers of healthcare services, there remain severity challenges owing to the use of various indigenous languages in many Africa countries. Some of the challenges get worst in a countries like South Africa where there are eleven official languages. As a result, interpreters…
Read MoreUtilization of Data Mining to Predict Non-Performing Loan
In the banking industry, the existence of problem loans is inevitable. NPL (Non-Performing Loan) will certainly have an impact on the reduction in the capital of a bank. One good step in reducing the risk of credit default or the emergence of non-performing loans is to take proper care of debtors who begin to experience…
Read MoreBuffering Supercapacitor Mechanism based on Bidirectional DC/DC Converter for Mini All-Terrain Vehicle Application
Fundamentally, the Bidirectional DC/DC converter consists of Buck and Boost modes, which working alternately. Hence, it has two output directions: Buck mode for decreasing the voltage and Boost mode for increasing the voltage at certain levels. In this work, we applied a non-isolated topology of the Bidirectional DC/DC converter for electric vehicle, that is mini…
Read MoreThe Importance of Sustainability Audit Report in Go Public Companies Sector, in Indonesia
Sustainability is considered new for Indonesian state-owned enterprises, also has become an obligation since two years ago. More and more people are aware of the environment for the next generation, the survival of mankind in the future. Sustainability issues are no exception in Indonesia. Companies publish sustainability reports as well as financial and annual reports.…
Read MoreMalware Classification Based on System Call Sequences Using Deep Learning
Malware has always been a big problem for companies, government agencies, and individuals because people still use it as a primary tool to influence networks, applications, and computer operating systems to gain unilateral benefits. Until now, malware detection with heuristic and signature-based methods are still struggling to keep up with the evolution of malware. Machine…
Read MoreHigh-Order Thinking Skills: The Educational Treasure Hunt Game
Many people who have no experience want to make Games. Among them are people who only like to play Games, people who want to make business through Games, and there are also people who really want to make Games. Assume making the game is very difficult and confusing, but forget the many examples that already…
Read MoreContextualization of the Augmented Reality Quality Model through Social Media Analytics
Augmented Reality applications are gaining popularity while maintaining novelty. Many industries are utilizing the user interface type, and use cases are becoming repeat patterns of problem solutions. Despite this rising popularity, quality has not matured nor has the technology become mainstream. Novelty must be approached as risk, and risk must be evaluated for and tested…
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