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Keyword: FACTSDetection of Event-Related Potential Artifacts of Oddball Paradigm by Unsupervised Machine Learning Algorithm
Electroencephalography (EEG) is one of the most common and benign methods for analyzing and identifying abnormalities in the human brain. EEG is an incessant measure of the activities of the human brain. In contrast, when the measurement of EEG is bounded by time and the EEG is synchronized to an exterior stimulus, is known as…
Read MoreForensic Analysis of “WhatsApp” Artifacts in Android without Root
WhatsApp application is considered the largest messaging application around the world and an important source of information, they just incorporated a new technique that operates on end-to-end encryption, which presents a significant problem for forensic investigators and analysts. This study describes how to recover the encryption key from WhatsApp to decrypt WhatsApp databases and retrieve…
Read MoreMitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO
In modern deregulated power industry, private sector has invested a lot to supply for extended power demand using the preexisting power system framework. This resulted into increased loading of transmission lines which has to work now to hit their thermal limits. The overloading of transmission line resulted in congestion and hence increase in loss of…
Read MoreFramework for Automation of Cloud-Application Testing using Selenium (FACTS)
A framework is an amalgamation of integrated tools, libraries, utilities and its coordination to interact with the other automation components. The motive of designing a test automation framework is to implement uniform standards towards automation throughout the organization to achieve the desired outcomes. Test automation framework is required to maintain the standardization of the activities…
Read MoreHeuristic Based Approach for Voltage Stability Improvement using FACTS Devices
The aim of this paper is to develop a hybrid device for voltage stability enhancement using two kinds of FACTS (Flexible AC Transmission System) namely SVC (Static Var Compensator) and TCSC (Thyristor Controlled Series Capacitor). The idea behind the proposed method is to maintain safe and satisfactory power system operation in a lesser costing manner…
Read MoreThe Effect of Introduction of Wind Energy System on the Energy Networks
The increase electricity production based on renewable energies sources responds to the requirements of sustainable development. In recent years, the investment in the wind energy sector has increased to satisfy green electricity generation and environment protection. Wind energy is currently the most competitive energy resource that is part of the world’s countries views on the…
Read MoreMetaheuristic Optimization Algorithm Performance Comparison for Optimal Allocation of Static Synchronous Compensator
The relevance of static synchronous compensator (STATCOM) controllers in controlling power network parameters is causing them to be included in contemporary networks. But for the intended objectives to be attained, the best device positioning and parameter settings are essential. This work compares the performance of the particle swarm optimization (PSO) and firefly algorithm (FA) in…
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 MoreAutomatic Stochastic Dithering Techniques on GPU: Image Quality and Processing Time Improved
Dithering or error diffusion is a technique used to obtain a binary image, suitable for printing, from a grayscale one. At each step, the algorithm computes an allowed value of a pixel from a grayscale one, applying a threshold and, therefore, causing a conversion error. To obtain the optical illusion of a continuous tone, the…
Read MoreSupervised Learning Techniques for Stress Detection in Car Drivers
In this paper we propose the application of supervised learning techniques to recognize stress situations in drivers by analyzing their Skin Potential Response (SPR) and the Electrocardiogram (ECG). A sensing device is used to acquire the SPR from both hands of the drivers, and the ECG from their chest. We also consider a motion artifact…
Read MoreMonte Carlo Estimation of Dose in Heterogeneous Phantom Around 6MV Medical Linear Accelerator
In this work, we completed a validation of the Varian Clinac IX equipped with the High Definition Multi-Leaf Collimator (HD 120 MLC) instead of the removable jaws, using GATE Monte Carlo Platform version 8.2. We validated the multileaf collimator (MLC) geometry by simulating two dosimetric functions (Percentage Depth Dose (PDD) and Dose Profile (DP)), for…
Read MoreOn the Use of Triple Graph Grammars for Model Composition
In the software engineering research, several works focus on advantages of multi-modeling, which facilitate modeling a system by separating of concerns. The Model Driven Engineering approach relies on model to design software artefacts during the software development lifecycle. Handling such models involves describing some model management operators like ‘ composition ‘. That is an operation…
Read MoreIntelligent Foundations for Knowledge Based Systems
Knowledge Based Systems play a very important role, within Healthcare, with a primary goal of supporting a high quality service at an optimal cost. A widely accepted knowledge acquisition technique is through the use of Business Rules in a natural language like format. As clinical terminology is centric to HealthCare, a large percentage of these…
Read MoreBehavioral Analysis of Bitcoin Users on Illegal Transactions
Bitcoin is a popular crypto currency that is used as a mode of investment and a medium for trading goods and services. Anonymity, security and decentralization are significant features of Bitcoin. This creates several opportunities for criminals to involve in illegal and fraudulent activities. This research study aimed to automate the process of gaining the…
Read MoreOptimization of Statcom in a Nouakchott Power System
STATCOM a shunt connected Flexible Alternative Current Systems (FACTS) device using for fast control of voltage and reactive power control in the power grid. To optimize Nouakchott power system at 2030 year, we anticipate both generation and demand grow. A set of nonlinear equations are solved through Newton Raphson method and programmed in PSS/E and…
Read MoreDesigning IT Blue Print Academic System on Higher Education with Togaf
STIE XYZ is one of the universities of economics that has not been optimal in the use of information technology. IT implementation is applied when there are urgent and sudden needs. So it is not planned carefully according to the development needs of this educational institution. Therefore many patchy applications are created. As the consequence,…
Read MoreTowards Process Standardization for Requirements Analysis of Agent-Based Systems
The development of agent-based systems is negatively impacted by the lack of process standardization across the major development phases, such as the requirements analysis phase. This issue creates a key barrier for agent technology stockholders regarding comprehending and analyzing complexity associated with these systems specifications. Instead, such fundamental low-level infrastructure is loosely attended to in…
Read MoreBig Data Analytics for Healthcare Organization: A Study of BDA Process, Benefits and Challenges of BDA
Day by day, data grows exponentially large using advanced technology and it requires effective analytical techniques to analyze the unknown and useful facts, patterns, associations and new trends which will provide new way for giving treatment to diseases and to provide good quality healthcare at low cost for everyone. This paper describes uncover valuable insights,…
Read MoreModeling Double Subjectivity for Gaining Programmable Insights: Framing the Case of Uber
The Internet is the premier platform that enable the emergence of new technologies. Online news is unstructured narrative text that embeds facts, frames, and amplification that can influence society attitudes about technology adoption. Online news sources are carriers of voluminous amounts of news for reaching significantly large audience and have no geographical or time boundaries.…
Read MoreDeterministic Approach to Detect Heart Sound Irregularities
A new method to detect heart sound that does not require machine learning is proposed. The heart sound is a time series event which is generated by the heart mechanical system. From the analysis of heart sound S-transform and the understanding of how heart works, it can be deducted that each heart sound component has…
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