Results (738)
Search Parameters:
Keyword: GREInnovative Research on the Development of Game-based Tourism Information Services Using Component-based Software Engineering
In recent years, a number of studies have been conducted exploring the potential of digital tour guides, that is, multimedia components (e.g., 2D graphic, 3D models, and sound effects) that can be integrated into digital storytelling with location-based services. This study uses component-based software engineering to develop the content of game-based tourism information services. The…
Read MoreThe method of correlation investigation of acoustic signals with priority placement of microphones
Examples of analytical calculations of the system characteristics of the hardware and time complexity of the correlation system based on a certain number of microphones and the corresponding number of interrelations are presented. The structural solutions of the hardware special processor implementation of such class of multichannel devices for recognition and identification of types and…
Read MoreTheoretical Investigation of Combined Use of PSO, Tabu Search and Lagrangian Relaxation methods to solve the Unit Commitment Problem
Solving the Unit Commitment problem (UCP) optimizes the combination of production units operations and determines the appropriate operational scheduling of each production units to satisfy the expected consumption which varies from one day to one month. Besides, each production unit is conducted to constraints that render this problem complex, combinatorial and nonlinear. In this paper,…
Read MoreSignal-Based Metamodels for Predictive Reliability Analysis and Virtual Testing
In the current industrial development, an increasing number of sensors is applied for monitoring of any kind of appliances and machines. A predictive mathematical model allows for realistic assessment of the health state of the appliance, indication of service requirements, as well as control of the appliance, serving as so-called digital twin on a control…
Read MoreThe Use of LMS AMESim in the Fault Diagnosis of a Commercial PEM Fuel Cell System
The world’s pollution rates have been increasing exponentially due to the many reckless lifestyle practices of human beings as well as their choices of contaminating power sources. Eventually, this lead to a worldwide awareness on the risks of those power sources, and in turn, a movement towards the exploration and deployment of several green technologies…
Read MoreA High Efficiency Ultra Thin (1.8 um) CdS/CdTe p-i-n Solar Cell with CdTe and Si as BSF layer
CdTe-based photovoltaic (PV) cells provide the lowest EBPT (energy payback time) and emit less amount of GHG (green house gases) among different types of PV cells. Thus, it is very essential to enhance the efficiency of CdTe-based solar cells. A high efficiency CdTe/CdS p-i-n heterostructure solar cell is designed and the performance of the cell…
Read MoreEffective Thermal Analysis of Using Peltier Module for Desalination Process
The key objective of this study is to analyse the heat transfer processes involved in the evaporation and condensation of water in a water distillation system employing a thermoelectric module. This analysis can help to increase the water production and to enhance the system performance. For the analysis, a water distillation unit prototype integrated with…
Read MoreAlgorithms for Technical Integration of Virtual Power Plants into German System Operation
This paper critically evaluates the operational perspective of Virtual Power Plants (VPP) in Germany by analyzing key factors to replace conventional power plants in the future power system. Therefore, its necessity for the secure operation as well as the technical and economic benefits for the German power system are pointed out. The single sections describe…
Read MoreAuto-Encoder based Deep Learning for Surface Electromyography Signal Processing
Feature extraction is taking a very vital and essential part of bio-signal processing. We need to choose one of two paths to identify and select features in any system. The most popular track is engineering handcrafted, which mainly depends on the user experience and the field of application. While the other path is feature learning,…
Read MoreDesign and Simulation of an RF-MEMS Switch and analysis of its Electromagnetic aspect in realtion to stress
Microelectromechanical Systems (MEMS) are devices made up of several electrical and mechanical components. They consist of mechanical functions (sensing, thermal, inertial) and electrical functions (switching, decision making) on a single chip made by microfabrication methods. These chips exhibit combined properties of the two functions. The size of system has characteristic dimensions less than 1mm but…
Read MoreImproving System Reliability Assessment of Safety-Critical Systems using Machine Learning Optimization Techniques
Quality assurance of modern-day safety-critical systems is continually facing new challenges with the increase in both the level of functionality they provide and their degree of interaction with their environment. We propose a novel selection method for black-box regression testing on the basis of machine learning techniques for increasing testing efficiency. Risk-aware selection decisions are…
Read MoreA Test Code Generation Method for Coding Standard Input/Output with Exception Handling in Java Programming Learning Assistant System
To advance Java programming educations, we have developed the Java Programming Learning Assistant System (JPLAS) that provides the code writing problem. This problem asks a student to write a source code to satisfy the specification of a given assignment, where the correctness is verified by running test code on JUnit. For a novice student, a…
Read MoreNonresonance between the first two Eigencurves of Laplacian for a Nonautonomous Neumann Problem
We consider the following Neumann elliptic problem \( \left\{ \begin{array}{rl} -\Delta u =\alpha\,m_{1}(x)\,u+m_{2}(x)\,g(u)+h(x)\quad & in \: \Omega,\\ \quad\\ \frac{\partial u}{\partial\nu} = 0\qquad\qquad\qquad\qquad\qquad\qquad\quad& on\: \partial\Omega. \end{array} \right. \) By means of Leray-Schauder degree and under some assumptions on the asymptotic behavior of the potential of the nonlinearity g, we prove an existence result for our equation…
Read MoreGroup law and the Security of elliptic curves on \(F_p[e_1,...,e_n]\)
In this paper, we study the elliptic curve \(E_{a,b}(A_P)\), with \(A_P\) the localization of the ring \(A=F _p[e_1,...,e_n]\) where \(e_ie_i=e_i\) and \(e_ie_j=0\) if \(i\neq j\), in the maximal ideal \(P=(e_1,...,e_n)\). Finally we show that \( \text{Card}(E_{a,b}(A_P)) \geq (\text{Card}(E_{a,b}(F_p)) - 3)^n + \text{Card}(E_{a,b}(F_p)) \) and the execution time to solve the problem of discrete logarithm in \(E_{a,b}(A_P)\)…
Read MoreModels accounting for the thermal degradation of combustible materials under controlled temperature ramps
The purpose of this conference is to present and analyze di_erent models accounting for the thermal degradation of combustible materials (biomass, coals, mixtures…), when submitted to a controlled temperature ramp and under non-oxidative or oxidative atmospheres. Because of the possible rarefaction of fossil fuels, the analysis of di_erent combustible materials which could be used as…
Read MoreEnhancement of Voltage Stability through Optimal Location of UPFC
This paper proposed the identification of the proper placement of UPFC (Unified Power Flow Controller) using a series of methodological numeric simulations to improve voltage stability. For this purpose, the critical zone of the system is determined, then, comparative analyses depending on different emplacements of UPFC are performed. The dynamic model of UPFC and the…
Read MoreComparison of K-Means and Fuzzy C-Means Algorithms on Simplification of 3D Point Cloud Based on Entropy Estimation
In this article we will present a method simplifying 3D point clouds. This method is based on the Shannon entropy. This technique of simplification is a hybrid technique where we use the notion of clustering and iterative computation. In this paper, our main objective is to apply our method on different clouds of 3D points.…
Read MoreDistributing the computation in combinatorial optimization experiments over the cloud
Combinatorial optimization is an area of great importance since many of the real-world problems have discrete parameters which are part of the objective function to be optimized. Development of combinatorial optimization algorithms is guided by the empirical study of the candidate ideas and their performance over a wide range of settings or scenarios to infer…
Read MoreLeaf-shaped solar cell antenna for Energy Harvesting and RF Transmission in ku-band
In this paper, a hybrid system solar cell antenna was studied. Our contribution lies in the combination of both optical and radio-frequency signals in a solar cell antenna. Hence, we propose a new method to merge antenna and solar cell. The leaf- shaped patch solar cell antenna was dedicated at a time to the energy…
Read MoreSmartphone Based Heart Attack Risk Prediction System with Statistical Analysis and Data Mining Approaches
Nowadays, Ischemic Heart Disease (IHD) (Heart Attack) is ubiquitous and one of the major reasons of death worldwide. Early screening of people at risk of having IHD may lead to minimize morbidity and mortality. A simple approach is proposed in this paper to predict risk of developing heart attack using smartphone and data mining. Clinical…
Read MoreFlexible Aperture Tuning Solution for Cellular Main Antenna in Metallic Back Cover Mobile Phone
Metal housing has been used extensively on portable communication devices such as on mobile phones and tablets. The choice of metal housing ranges from metallic rim to metallic back cover. This metal housing tends to improve the outlook appearance of the mobile devices, and add mechanical strength towards the mobile devices. However, from the aspect…
Read MoreA novel beamforming based model of coverage and transmission costing in IEEE 802.11 WLAN networks
IEEE 802.11 WLAN indoor networks face major inherent and environmental issues such as interference, noise, and obstacles. At the same time, they must provide a maximal service performance in highly changing radio environments and conformance to various applications’ requirements. For this purpose, they require a solid design approach that considers both inputs from the radio…
Read MoreSmart Grid Operational functions and Control Challenges by Implementing SSSC Tailored to Optimize performance in between Qatar and KSA on the GCC Electrical-power grid
This research work is novel technique to control and optimize SSSC (Subsynchronous Series Controller) functions with degree of precision in between Qatar and Kingdom of Saudi Arabia. The SSSC model developed and simulated in order to identify and determine its control and functioning parameters by introducing new tuning parameters based on that the SSSC can…
Read MoreA Novel Approach to Sensor and Actuator Integrity Monitoring and Fault Magnitude Reconstruction
This paper proposes a novel approach to sensor and actuator integrity monitoring in a dynamic system. Multiple sensor and actuator faults can be detected. Furthermore, faulty sensors and actuators are isolated by contribution analysis. Most importantly, fault magnitudes can be correctly estimated and failed sensors or actuators outputs can be reconstructed. The proposed approach is…
Read MoreOn Modeling Affect in Audio with Non-Linear Symbolic Dynamics
The discovery of semantic information from complex signals is a task concerned with connecting humans’ perceptions and/or intentions with the signals content. In the case of audio signals, complex perceptions are appraised in a listener’s mind, that trigger affective responses that may be relevant for well-being and survival. In this paper we are interested in…
Read More
