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Keyword: ROOverview of Solar Radiation Estimation Techniques with Development of Solar Radiation Model Using Artificial Neural Network
Estimation Solar radiation is the most significant part of the optimization of solar power. This may be achieved if the solar radiation is predicted well in advance. Meteorological stations have radiation measuring devices like pyranometer, pyrheliometer, radiometer, solarimeter, etc. however, it may not be available at the location of interest for researchers. Due to this…
Read MoreA 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 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 MoreDamage Accumulation Model for Cracked Pipes Subjected to Water Hammer
During service, oil and gas pipelines may be exposed to cyclical loads during service, which may lead to a structural failure. Failure is due in most cases to cracks in the structure. Mechanics of the propagation of surface cracks pose a serious challenge and, therefore, models are required to help analyze it. In this study,…
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 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 MoreShort-Term Dynamic Exchange Rate Model: IFEER Concept Development
The new model of the short-term exchange rate dynamics was constructed. First of all, the most interesting were the reasons of the deviation from the medium-term equilibrium. The author’s IFEER-concept (International Flows Equilibrium Exchange Rate) was used as a base and it was developed. In this study, due to the short-term modeling period the differential…
Read MoreEffects of Oversampling SMOTE in the Classification of Hypertensive Dataset
Hypertensive or high blood pressure is a medical condition that can be driven by several factors. These factors or variables are needed to build a classification model of the hypertension dataset. In the construction of classification models, class imbalance problems are often found due to oversampling. This research aims to obtain the best classification model…
Read MoreKeyword Driven Image Description Generation System
Image description generation is an important area in Computer Vision and Natural Language Processing. This paper introduces a novel architecture for an image description generation system using keywords. The proposed architecture uses a high-level feature such as keywords for generating captions. The important component of caption generation is the deep Bidirectional LSTM network. The space…
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 MoreSurvey Analysis: Enhancing the Security of Vectorization by Using word2vec and CryptDB
Vectorization is extracting data from strings through Natural Language Processing by using different approaches; one of the best approaches used in vectorization is word2vec. To make the vectorized data secure, we must apply a security method, which will be CryptDB. The paper is analyzing the survey, which is created to interview security engineers through the…
Read MoreBilateral Communication Device for Deaf-Mute and Normal People
Communication is a bilateral process and being understood by the person you are talking to is a must. Without the ability to talk nor hear, a person would endure such handicap. Given that hearing and speech are missing, many have ventured to open new communication methods for them through sign language. This bilateral communication device…
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 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 MoreCoastal Risk Modelling for Oil Spill in the Mediterranean Sea
The accident probability estimation and the consequence analysis are based on statistical data about oil spill accident occurrence in the Mediterranean area, on the probability of different release sizes, and on the joint probability of wind speed and directions. The risk model and its evaluation have been assessed for the Mediterranean littoral considering the time…
Read MoreExploring the Performance Characteristics of the Naïve Bayes Classifier in the Sentiment Analysis of an Airline’s Social Media Data
Airline operators get much feedback from their customers which are vital for both operational and strategic planning. Social media has become one of the most popular platforms for obtaining such feedback. However, to analyze, categorize, and generate useful insight from the huge quantity of data on social media is not a trivial task. This study…
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 MoreNonlinear \(\ell_{2,p}\)-norm based PCA for Anomaly Network Detection
Intrusion detection systems are well known for their ability to detect internal and external intrusions, it usually recognizes intrusions through learning the normal behaviour of users or the normal traffic of activities in the network. So, if any suspicious activity or behaviour is detected, it informs the users of the network. Nonetheless, intrusion detection system…
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 MoreIndustry 4.0 Operators: Core Knowledge and Skills
One of the most important technological changes due to the arrival of Industry 4.0, an initial, gradual, and complex process of technology transfer is taking place, which strongly relies on the integration of universities, industries, and governments. In this context, to make the Industry 4.0 approach a reality, several requirements need to be met. One…
Read MoreNearest Neighbour Search in k-dSLst Tree
In the last few years of research and innovations, lots of spatial data in the form of points, lines, polygons and circles have been made available. Traditional indexing methods are not perfect to store spatial data. To search for nearest neighbour is one of the challenges in different fields like spatiotemporal data mining, computer vision,…
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