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Keyword: ValueEffectiveness and Comparison of Digital Substations Over Conventional Substations
The entire electrical system is changing at an abrupt speed since its beginning. With the rapid advance of renewable energies (which are constantly subject to fluctuations), the electricity generation is distributed to countless locations. The traditional model of the unidirectional flow of electricity is leaning towards multidirectional flows. This situation needs significant changes in the…
Read MoreDevelopment of Wavelet-Based Tools for Event Related Potentials’ N400 Detection: Application to Visual and Auditory Vowelling and Semantic Priming in Arabic Language
Neurological signals are generally very weak in amplitude and strongly noisy. As a result, one of the major challenges in neuroscience is to be able to eliminate noise and thus exploit the maximum amount of information contained in neurological signals (EEG…). In this paper, we aimed at studying the N400 wave of the Event-Related Potentials…
Read MoreLocalization of Emerging Leakages in Water Distribution Systems: A Complex Networks Approach
Water distribution networks are infrastructural systems designed for providing potable water to consumers. In these last decades, the importance of assessing and identifying emerging leakages has become a primary issue, because of the high level of water loss characterizing such systems worldwide. In this paper, a new approach aimed at the prompt localization of leakages…
Read MoreSmart Meter Data Analysis for Electricity Theft Detection using Neural Networks
The major problem in electric utility is Electrical Theft, which is harmful to electric power suppliers and causes economic loss. Detecting and controlling electrical theft is a challenging task that involves several aspects like economic, social, regional, managerial, political, infrastructural, literacy rate, etc. Numerous methods were proposed formerly for detecting electricity theft. However, the previous…
Read MoreInference Rule of Collision Risk Index based on Ship Near-Collision via Adaptive Neuro Fuzzy Inference System
Collision risk index has been studied as the required quantitative values for decision-making of collision avoidance between ships. Recently, inference methods of the collision risk were proposed on the basis of the fuzzy theory because of being possible to collect data in real time. Existing fuzzy inference system was composed of only simulation results using…
Read MoreMulti-Restricted Area Avoidance Scenario Using Hybrid Dynamical Model and Its Predictive Controller
This article is addressed to show the results of hybrid dynamical modeling in the form of PWA (piecewise-affine) and equivalent MLD (mixed-logical dynamical) model for multi-restricted areas avoidance of an autonomous system. It is a problem of determining the optimal moving trajectory from plant’s initial position to some desired position while avoiding some restricted areas…
Read MoreApplication of Feature Extraction for Breast Cancer using One Order Statistic, GLCM, GLRLM, and GLDM
The increasing number of breast cancer in recent years has attracted numerous researchers’ attention. Several techniques of Computer Aided Diagnosis System have been proposed as alternative solutions to diagnose breast cancer. The flaw of simply using the naked eye to see the differences between normal and with cancer mammogram images makes the texture analysis play…
Read MoreFrequency-Tunable Narrow-Band Ladder-Shape Microstrip Patch Antenna for TV Applications
In this paper, a frequency-tunable antenna is proposed based on a previous antenna which has a ladder shape and a size of 120 x 50 mm2. It is fed using a coaxial cable and it is operational at 700 MHz which is in the UHF band with a bandwidth of 30 MHz. Varactors, having a…
Read MoreDevelopment of Tactile Display and an Efficient Approach to Enhance Perceptual Analysis in Rehabilitation
Tactile displays are widely used in the rehabilitation and education of blind persons, as it is one of the media of communication amongst them. Tactile display performance is measured in terms of accuracy in presenting pattern, accuracy in identification, recognition and reading time of presented pattern. However, it has had meager attention from researchers. This…
Read MoreA Support Vector Machine Cost Function in Simulated Annealing for Network Intrusion Detection
This paper proposes a computationally intelligent algorithm for extracting relevant features from a training set. An optimal subset of features is extracted from training examples of network intrusion datasets. The Support Vector Machine (SVM) algorithm is used as the cost function within the thermal equilibrium loop of the Simulated Annealing (SA) algorithm. The proposed fusion…
Read MoreSentiment Analysis on Twitter for Predicting Stock Exchange Movement
This paper is proposed to build a model by applying two methods, namely support vector machine and nonnegative matrix factorization in the process of predicting stock market movement using twitter and historical data. The stock exchange is based on the LQ 45 stock with period from August 2018 – January 2019. The features consist of…
Read MoreQuantitative Traffic Congestion Analysis Approach in Ahmedabad
This study is the extension of the previous study about “Traffic Service Quantitative Analysis Method under Developing Country” in 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). In the previous study, it is introduced how to make quantitative calculation for traffic congestion by traffic parameters and its characteristics curve such as traffic…
Read MoreMultimedia Application Development With Islamic Critical Reflection Through 3-2-1 Technique for Novice Teacher Internship Program
The use of technology in the learning process has become the most significant point in helping teachers reaching the objectives of the learning. This study focuses on the use of multimedia by novice teachers in comprehending the internship program’s guidance. The Islamic Critical Reflection model is a new and innovative model in the field of…
Read MoreAnalysis of Fuzzy Data for the Selection of Ingredients of the Polymer Composition by Technical Functions in Quality Management
The task of fuzzy mathematical modeling of the composition of a polymer composition is singled out and formulated, as one of the types of chemical-technological systems for creating the theoretical foundations for managing the physicochemical properties of the material produced from this composition. Fuzzy data on the technical functions and concentration of individual ingredients that…
Read MoreDetection the Places of the Heat Energy Leak on the Underground Thermal Pipelines Using the Computer System
The purpose of this paper is to improve the thermographic method for detection the places of heat energy losses on the urban underground thermal pipelines using the computer system. This goal was achieved by building a heat map of the surveyed heating main with data layering directly on a computer map of the area, which…
Read MoreConversion of 2D to 3D Technique for Monocular Images using Papilio One
A 3D image adds realism in viewing experience and can assist in simplifying the graphical displays. A Third dimension supplement to the input can improve pattern recognition, and can be used for 3D scene reconstruction and robot navigation. Recently popularity of 3D hardware is also increased which makes it a hot topic. The production of…
Read MoreITSM Software Ranking for Small Medium Enterprises Based on ITIL V3 Quick Win Criteria using Fuzzy SIR Method
There are various software related to the implementation of IT Service Management (ITSM) for a company, including those that are open source and commercial. An input is needed for companies in determining what software to choose from various software, especially for small and medium enterprises (SMEs) that have limited human and financial resources. In this…
Read MoreFeature Selection for Musical Genre Classification Using a Genetic Algorithm
Music genre classification is an important multimedia research domain, including aspects of music piece representation, distances between genres, and categorization of music databases. The objective of this study was to develop a model for automatic classification of musical genres from audio data by using features from low-level time and frequency domains. These features can highlight…
Read MoreEducational Domain Management Knowledge Content Identification and Knowledge Updating Method, Based on Enterprise Management Information Interactions
The aim of this paper is to develop the educational domain management knowledge content identification and knowledge updating method, based on formal descriptions of enterprise management information interactions. This is very important because the progress of modern science leads to the emergence of new factual or conceptual knowledge. There is a need for proper methods…
Read MoreSentiment Analysis of Regional Head Candidate’s Electability from the National Mass Media Perspective Using the Text Mining Algorithm
Mass media plays an important role in leading public opinion, including in the election of regional head candidates. The tendency of mass media coverage can be used as a parameter to measure the strength of each regional head candidate. To analyze the tendency of media opinion, sentiment analysis is needed. In this study, text mining…
Read MoreLabVIEW Development for an Intelligent Management System of the Electrical Energy Free Market
Consumers of electrical energy have looked more closely to the energy consumption in last years due to the successive increase of the electricity bill. Nowadays it is possible to notice that many consumers have been looking for ways to reduce their consumption or the value of their electricity bill. Such a cost reduction is obtained…
Read MoreNovel CPW-fed UWB antenna for X-band applications
An ultra-wideband (UWB) printed antenna (PMA) powered by a compact coplanar waveguide (CPW) is featured. The propounded antenna is supposed to cover the UWB range from 7 GHz to 10 GHz, with return loss values below -10 dB in the whole frequency range, for X-band applications, often used for dense satellite communications. The 30 x…
Read MoreTalk Show’s Business Intelligence on Television by Using Social Media Data in Indonesia
Knowing how and types of talk shows discussed in social media is significant to all stakeholders in a talk show’s program. There are many messages that can be found in social media that need to be noticed so the messages from the user could reach the viewer. Social media provides promising as well as challenging…
Read MoreStrategies of the Level-By-Level Approach to the Minimal Route
The task of optimal path planning for drilling tool with numerical control is considered. Such tools are used in the production of printed circuit boards. The algorithm modification of level-by-level route construction for the approximate solution of the traveling salesman problem is discussed. Bypass objects can be specified either as a table of distances or…
Read MoreDevelopment of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space
The presence of atmospheric hazards in confined space can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. To avoid this, the environment needs to be observed. The air sample can be monitored using the integration of electronic nose (e-nose) and mobile robot. Current technology to monitor the atmospheric hazards is…
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