Results (178)
Search Parameters:
Keyword: optimizationOmni-directional Dual-Band Patch Antenna for the LMDS and WiGig Wireless Applications
In this paper an omnidirectional dual band monopole antenna at 28 GHz and 60 GHz which is fit for indoor and outdoor wireless applications is developed. The proposed antenna consists of two rectangular patches with a T folded patch. The design, analysis, and optimization processes through this article are executed by the numerical method, Finite…
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 MoreImpacts of Synchronous Generator Capability Curve on Systems Locational Marginal Price through a Convex Optimal Power Flow
This paper deals about an application of optimal power flows (OPF) constrained with synchronous generator capability curve for power market analysis (SGCC). OPF main features gather in its mathematical formulation non-convexity, non-linearity, and it shows to be a hard to solve optimization problem. In some operational scenarios, SGCC can limit power flows bringing the theoretical…
Read MoreA Comparative Study of a Hybrid Ant Colony Algorithm MMACS for the Strongly Correlated Knapsack Problem
Metaheuristic hybridization has recently been widely studied and discussed in many research works as it allows benefiting from the strengths of metaheuristics by combining adequately the different algorithms. MMACS is a new hybrid ant colony optimization algorithm based on the foraging behavior of ants. This algorithm presents two hybridization levels. The first hybridization consists in…
Read MoreNumerical Simulation of One Pavement Structure of Polyethylene Terephthalate Submitted to Static Point Loads
Plastic is highly polluting nowadays and is found in many disposable elements used for people. Plastic materials are disposed inadequately and large quantities of them become pollution in the ground, water, and air, affecting plants and animals. Most of the plastic is Polyethylene Terephthalate (PET) which is used in many activities. Resistance, support capacity, and…
Read MoreDesigning Experiments: 3 Level Full Factorial Design and Variation of Processing Parameters Methods for Polymer Colors
In this work, we investigate the effects of variation of processing parameters on the quality of dispersion of polycarbonate compound. In order to achieve appropriate pigments dispersion, we performed compounding process parameters optimizations, by investigating three processing parameters, temperature, screw speed, and feed rate. We utilized experimental design for the optimization of process parameters based…
Read MoreSynthesis of QDI Combinational Circuits using Null Convention Logic Based on Basic Gates
Currently, synchronous digital circuits (SDC) may require certain design conditions, such as power consumption, robustness, performance, etc. These design conditions are more difficult to satisfy when SDC are implemented in VLSI (Very Large Scale Integration) technology and in the deep-sub-micron MOS (DSM-MOS) technology. The asynchronous design style has properties that serve as an alternative to…
Read MoreA detailed step-by-step electrical parameters identification method for photovoltaic generators using a combination of two approaches
The object of this paper is to identify the unknown electrical parameters of solar photovoltaic generators in real time, through the application of a novel suggested hybrid method. The identification process is discussed with details, about the four steps of identification. In this issue, the first step describes the experimental data acquisition work done to…
Read MoreAn enhanced Biometric-based Face Recognition System using Genetic and CRO Algorithms
Face recognition is one of the most well-known biometric methods. It is a technique used for identifying individual from his face. The recognition process takes the face and compares it with the one stored in the database for recognizing it. Many methods were proposed to achieve that. In this paper, a new technique is proposed…
Read MoreFrameworks for Performing on Cloud Automated Software Testing Using Swarm Intelligence Algorithm: Brief Survey
This paper surveys on Cloud Based Automated Testing Software that is able to perform Black-box testing, White-box testing, as well as Unit and Integration Testing as a whole. In this paper, we discuss few of the available automated software testing frameworks on the cloud. These frameworks are found to be more efficient and cost effective…
Read MoreAn Overview of Data Center Metrics and a Novel Approach for a New Family of Metrics
Data centers’ mission critical nature, significant power consumption, and increasing reliance on them for digital information, have created an urgent need to monitor and adequately manage these facilities. Metrics are a key part of this effort as their indicators raise flags that lead to optimization of resource utilization. A thorough review of existing data center…
Read MoreAn Aggregation Model for Energy Resources Management and Market Negotiations
Currently the use of distributed energy resources, especially renewable generation, and demand response programs are widely discussed in scientific contexts, since they are a reality in nowadays electricity markets and distribution networks. In order to benefit from these concepts, an efficient energy management system is needed to prevent energy wasting and increase profits. In this…
Read MoreA Model for Optimising the Deployment of Cloud-hosted Application Components for Guaranteeing Multitenancy Isolation
Tenants associated with a cloud-hosted application seek to reduce running costs and minimize resource consumption by sharing components and resources. However, despite the benefits, sharing resources can affect tenant’s access and overall performance if one tenant abruptly experiences a significant workload, particularly if the application fails to accommodate this sudden increase in workload. In cases…
Read MoreSoftware and Hardware Enhancement of Convolutional Neural Networks on GPGPUs
Convolutional Neural Networks (CNNs) have gained attention in recent years for their ability to perform complex machine learning tasks with high accuracy and resilient to noise of inputs. The time-consuming convolution operations of CNNs pose great challenges to both software as well as hardware designers. To achieve superior performance, a design involves careful concerns between…
Read MoreTwo-Stage Performance Engineering of Container-based Virtualization
Cloud computing has become a compelling paradigm built on compute and storage virtualization technologies. The current virtualization solution in the Cloud widely relies on hypervisor-based technologies. Given the recent booming of the container ecosystem, the container-based virtualization starts receiving more attention for being a promising alternative. Although the container technologies are generally considered to be…
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 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 MoreApproximate method of analysis of log-periodic antennas with in-phase currents
Log-periodic antennas have high electrical characteristics over a wide frequency range. The large length of the antennas is their significant disadvantage caused by the fact that each active region consisting of several radiators operates in a narrow frequency range. To extend this range, it is proposed to use radiators with concentrated capacitive loads, providing in-phase…
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 MoreA 3D Full Wave Inversion (FWI) Analysis for Handheld Ground Penetrating Radar (GPR)
This paper reports the results of an empirical, 3D full wave inversion (FWI) numerical analysis which provides an estimation of the performance of multi-static handheld ground penetrating radar (GPR,) compared to a bi-static system, for landmine detection using FWI imaging. The experiments are based on simulated data and provide a more realistic evaluation of the…
Read MoreAnalysis of Economic Load Dispatch with a lot of Constraints Using Vortex Search Algorithm
In modern powers systems, one of the most considerable topics is economic load dispatch (ELD). ELD is non-linear problem and it became non-convex and non-smooth problem with some constraints such as valve point loading effect. ELD is very crucial for energy generation and distribution in power systems. For solving ELD problem, a lot of methods…
Read MoreKalman filter Observer for SoC prediction of Lithium cells
The SoC estimation of Li Ion batteries presents a difficult task for almost applications in order to ensure their higher energy density and their safety. Hence, there have been several methods to optimize the state of charge of the Lithium cells such as observer strategies which have been considered in this work. Kalman filter observer…
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 MoreEnsemble of Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces
Classification of EEG signals in self-paced Brain Computer Interfaces (BCI) is an extremely challenging task. The main difficulty stems from the fact that start time of a control task is not defined. Therefore it is imperative to exploit the characteristics of the EEG data to the extent possible. In sensory motor self-paced BCIs, while performing…
Read MoreMoving Towards Reliability-Centred Management of Energy, Power and Transportation Assets
Infrastructure Asset Management was first adopted in 1980s for challenges faced by the utilities, road and rail transport systems, mining, process and manufacturing industries in asset life cycle value optimization. International standards ISO 55000 and PAS 55 were subsequently developed to provide a basis for a structured methodology in the development of Asset Management System.…
Read More
