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Keyword: EvolutionUsing Metaheuristics-Based Methods to Provide Sustainable Market Solutions, Suitable to Consumer Needs
Nowadays the buildings sector is one of the key sectors to achieve sustainability, with the correspondent consumers, in particular, the household consumers, having the need to perform sustainable choices every day, regarding the appliances to be acquired from the market. This is not only due to government’s growing concerns about sustainability but also with the…
Read MoreCurrent Trends and Challenges in Link Prediction Methods in Dynamic Social Networks: A Literature Review
In more recent times, researchers have turned their attention to link prediction and the role link inference can play in better understanding the evolutionary nature of social networking sites. The objective of this paper is to present an in-depth review, analysis, and discussion of the cutting-edge link prediction methods that can be applied to better…
Read MoreSimulation and Reproduction of a Manipulator According to Classical Arm Representation and Trajectory Planning
The technical and vocational institutions are the key feeders for skilled human capital in the robotic revolution economy. It is essential to engage the students by creating new, affordable robotics at a fraction of the cost. This study presents the design and simulation of a six-axis robot manipulator specifically made for education and training. The…
Read MoreImprovement opportunities of a Simulation/Expert System Approach for Manufacturing System Sizing: A review and proposal
Manufacturing System (MS) sizing is a crucial task to complete in order to obtain the desired MS performance and efficiency. It involves selecting the required number of resources from each used type in a given planning horizon. In fact, different approaches coupling simulation/optimization tools have been developed to solve this issue and evaluate the MS…
Read MoreToward a Smart Campus Using IoT: Framework for Safety and Security System on a University Campus
Recently, there is an enormous research on the smart campus concept due to the revolution of the IoT technologies. The motivation of this paper is to: reinforce the safety on campus, reduce the cost, and take one step forward toward a University smart campus. In this paper, we are not only proposing a framework that…
Read MoreMultiple-Optimization based-design of RF Integrated Inductors
In this paper, a multiple-objective Metaheuristics study is discussed. Initially, three mono-objective metaheuristics will be explored in order to design and optimize Radio-Frequency integrated inductors. These metaheuristics are: An evolutionary algorithm called The Differential Evolution (DE), An algorithm supported on Newton’s laws of gravity and motion called the Gravitational Search Algorithm (GSA) and, finally, A…
Read MoreOptical Braille Recognition Software Prototype for the Sinhala Language
Braille system is purposely made for visually impaired people, to support their literal communication in order to share their knowledge. Louis Braille introduced the braille system consists of series dots which are embossed to read by touching. Early days Braille papers are made manually, but at current days braille documents are made using machines. Due…
Read MoreStress Level Classification Using Heart Rate Variability
The research programme reported in this paper is set within the framework of our research under the theme of ICT support for Active Healthy Ageing (AHA). This longitudinal empirical research is focused on the study of the impact on the management of cardio-vascular disease if supported by sustained health monitoring using wearable connected devices. One…
Read MoreA Critical Analysis of Topics in Software Architecture and Design
Software architecture and design is an important component in the software engineering field. This aspect of software engineering covers the functional and non-functional requirements of any system being proposed to be developed, while software architecture deals with non-functional requirements, software design entails the functional requirements. The objective of this paper is to critically analyze current…
Read MoreMulti-Objective Path Optimization of a Satellite for Multiple Active Space Debris Removal Based on a Method for the Travelling Serviceman Problem
Space debris removal is currently a critical issue for space development. It has been reported that five pieces of debris should be removed each year to avoid further increase in the amount of debris in orbit. One approach for the removal of multiple pieces of debris is to launch multiple satellites that can each remove…
Read MoreA Novel Fair and Efficient Resource Allocation Scheduling Algorithm for Uplink in LTE-A
With the introduction of new services and new more sophisticated mobile devices the radio network operators are faced with new challanges to increase the system performance. The most recent standards introduced by 3GPP for the new architectures of the Long Term Evolution network address these issues and outline possibilities for optimizing network performance and user…
Read MoreSDN-based Network Control Method for Distributed Storage Systems
With the increasing need for effective storage management due to ever-growing content-generation over the Internet, Distributed Storage Systems (DSS) has arisen as a valuable tool. Although DSS has considerably improved in the past years, it still leverages legacy techniques in its networking. To cope with the demanding requirements, Software Defined Networking (SDN) has revolutionized the…
Read MoreDesign of smart chess board that can predict the next position based on FPGA
The abilities of human brain to discover solutions for many problems is a great gift that motivate the scientists to develop the revolution of the artificial intelligence and using it in many areas. This paper proposed an intelligent chessboard which works in a way that similar to the human brain that predicts the next positions…
Read MoreA Survey on Parallel Multicore Computing: Performance & Improvement
Multicore processor combines two or more independent cores onto one integrated circuit. Although it offers a good performance in terms of the execution time, there are still many metrics such as number of cores, power, memory and more that effect on multicore performance and reduce it. This paper gives an overview about the evolution of…
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 MoreRevealing Strengths, Weaknesses and Prospects of Intelligent Collaborative e-Learning Systems
The rapid evolution of Collaborative e-Learning Systems migrates to the use of new technologies such the artificial intelligence (AI). In this context, the role of AI in increasing the quality of learning and making it more productive, persistent and efficient. In addition, it can accomplish repetitive and complex tasks in record time and unmatched accuracy.…
Read MoreAdaptive and Non Adaptive LTE Fractional Frequency Reuse Mechanisms Mobility Performance
Mobile broadband has gained momentum with the growing demand of user data rates. Long Term Evolution (LTE) technology is the step in mobile communications evolution, developed to satisfy high data rate demand, and meet better spectral efficiency requirements. Effective radio resource management and inter cell interferences are the major challenges. Fractional Frequency Reuse (FFR) is…
Read MoreBoundary gradient exact enlarged controllability of semilinear parabolic problems
The aim of this paper is to study the boundary enlarged gradient controllability problem governed by parabolic evolution equations. The purpose is to find and compute the control \(u\) which steers the gradient state from an initial gradient one \(\nabla y_{_{0}}\) to a gradient vector supposed to be unknown between two defined bounds \(b_1\) and…
Read MoreA Review of Anti- Podal Vivaldi Antenna Operating in Cellular Mobile Communications
The antenna proposed is a new geomantic structure of Ultra-Wideband (UWB) Anti- Podal Vivaldi antenna (AVA). It remarkably offers an attractive performance over the bands of cellular networks. However, its benefits are not limited only in particular applications, whereas radar imaging, mining detection, the biomedical science in the heating of brain cancer tumor and treatment,…
Read MoreEstimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Interconnection of the power system utilities and grids offers a formidable dispute in front of design engineers. With the interconnections, power system has emerged as a more intricate and nonlinear system. Recent years small signal stability problems have achieved much significance along with the conventional transient constancy problems. Transient stability of the power system can…
Read MoreSpatiotemporal Traffic State Prediction Based on Discriminatively Pre-trained Deep Neural Networks
The availability of traffic data and computational advances now make it possible to build data-driven models that capture the evolution of the state of traffic along modeled stretches of road. These models are used for short-time prediction so that transportation facilities can be operated in an efficient way that guarantees a high level of service.…
Read MoreOptimisation of Software-Defined Networks Performance Using a Hybrid Intelligent System
This paper proposes a novel intelligent technique that has been designed to optimise the performance of Software Defined Networks (SDN). The proposed hybrid intelligent system has employed integration of intelligence-based optimisation approaches with the artificial neural network. These heuristic optimisation methods include Genetic Algorithms (GA) and Particle Swarm Optimisation (PSO). These methods were utilised separately…
Read MoreSelf-Organizing Map based Feature Learning in Bio-Signal Processing
Feature extraction is playing a significant role in bio-signal processing. Feature identification and selection has two approaches. The standard method is engineering handcraft which is based on user experience and application area. While the other approach is feature learning that based on making the system identify and select the best features suit the application. The…
Read MorePaper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language
Analysis of Arabic language has become a necessity because of its big evolution; we propose in this paper a rule based extraction method of Arabic text to solve some weaknesses founded on previous research works. Our approach is divided on preprocessing phase, on which we proceed to the tokenization of the text, and formatting it…
Read MoreExpression of balance function during exposure to stereoscopic video clips
Recently, with the rapid progress in image processing and three-dimensional (3D) technologies, stereoscopic images are available not only on television but also in theaters and gaming consoles. Asthenopia and visually induced motion sickness (VIMS) are well-known phenomena experienced by users while viewing video clips, playing immersive video games, and other such activities. In previous studies,…
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