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2014 International Conference on Advances in Engineering and Technology (ICAET)最新文献

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A review of heat pipe with nanofluid for electronic cooling 纳米流体用于电子冷却的热管研究进展
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105296
S. Shewale, S. Chougule, S. Sahu, A. Pise
A heat pipe is an important tool for effective cooling performance of the electronic devices. The main focus of this paper is to review applications of heat pipe in electronic system. Miniaturization of chips and increasing processing speed decreases the heat transfer surface area and generates very high heat fluxes resulting in large temperature rise in electronics devices. Therefore, for an effective cooling heat pipe is a better selection because of its high efficiency and reliability. A major part of this review paper is allocated to applications of different types of heat pipe and modern trends in heat pipe technology. Nanofluids are dilute suspensions of nanoparticles composite materials with the specific aim of increasing the thermal conductivity of heat transfer fluids. Authors also analyzed some of the applications of heat pipes with nanofluid for electronic cooling.
热管是保证电子器件有效冷却的重要工具。本文主要综述了热管在电子系统中的应用。芯片的小型化和处理速度的提高降低了传热表面积,并产生了非常高的热流,导致电子设备的温度大幅上升。因此,对于一个有效的冷却热管是一个较好的选择,因为它的高效率和可靠性。这篇综述的主要部分是分配给不同类型的热管的应用和热管技术的现代趋势。纳米流体是纳米颗粒复合材料的稀释悬浮液,其特定目的是增加传热流体的导热性。还分析了纳米流体热管在电子冷却中的一些应用。
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引用次数: 9
Low delay error correction codes to correct stuck-at defects and soft errors 低延迟纠错码,以纠正卡滞缺陷和软错误
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105257
A. Asuvaran, Senthilkumar Selvaraj
For perfect communication during data transmission between transmitter and receiver the reliability is important factor, sometimes reliability is missed due to appearance of errors. ECC provides reliable data delivery over unreliable communication channel. Error correction codes (ECCs) are used to shield memories from soft errors and stuck-at defects. Single error correction (SEC) codes that can correct 1-bit error per word are a typical choice for memory protection. In some cases, SEC codes are extended to conjointly offer double error detection and are referred to as SEC-DED codes. Repair proficiencies are usually used for defects, whereas error correction codes are used for soft errors. Recently, some proposals are created to use error correction codes to handle with defects. In this paper tend to correct two single bit errors within the combination of one soft error and one stuck-at defect and to reduce delay of Error Correction Codes.
在数据传输过程中,为了保证数据的完美通信,可靠性是一个重要的因素,有时由于错误的出现而导致可靠性的缺失。ECC在不可靠的通信通道上提供可靠的数据传输。纠错码(ECCs)用于保护存储器免受软错误和卡滞缺陷的影响。单个纠错码(SEC)可以纠正每个字1位的错误,是存储器保护的典型选择。在某些情况下,SEC代码被扩展为联合提供双重错误检测,并被称为SEC- ded代码。修复熟练度通常用于缺陷,而错误纠正码用于软错误。最近,出现了一些使用纠错码来处理缺陷的建议。本文倾向于在一个软错误和一个卡滞缺陷的组合中对两个单比特错误进行校正,以减少纠错码的延迟。
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引用次数: 2
Application of natural computational algorithms in optimal enhancement of reliability parameters for electrical distribution system 自然计算算法在配电系统可靠性参数优化中的应用
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105276
R. Ashok Bakkiyaraj, N. Kumarappan
Reliability improvement of distribution system components is gaining more attention due to the structural changes of a power system which provides multiple choices to the consumers for selecting the utility. The optimal enhancement strategy is based on the trade-off between the investment required for improving the reliability parameters of the system components from the present level and the reduction in interruption power which is in terms of cost. These costs are modeled in terms average failure rate and average interruption duration of system sections. Adequacy of the power supply at loads points is ensured by imposing the constraints on upper bounds on load points and sections reliability parameters of the system. Consumers concern on supply reliability is fulfilled by imposing bounds on customer oriented reliability indices. This makes the optimal design problem as optimization problem of non-linear objective with linear and non-linear constraints. This paper applies the population based natural computational algorithms such as genetic algorithm, particle swarm optimization, differential evolution and firefly algorithm for solving the optimal reliability enhancement model of the sample test system. Results obtained are compared with the results of existing literature which uses polynomial time algorithm.
由于电力系统结构的变化,为用户选择公用事业提供了多种选择,配电系统部件可靠性的提高受到越来越多的关注。最优增强策略是在提高现有系统部件可靠性参数所需的投资与降低中断功率之间进行权衡。这些成本是根据系统部分的平均故障率和平均中断时间来建模的。通过对负荷点和区段可靠性参数的上界进行约束,保证了负荷点供电的充分性。通过对面向客户的可靠性指标施加边界,满足了消费者对供电可靠性的关注。这使得优化设计问题成为具有线性和非线性约束的非线性目标的优化问题。本文应用基于种群的自然计算算法,如遗传算法、粒子群优化、差分进化和萤火虫算法,求解了样品测试系统的最优可靠性增强模型。所得结果与已有文献中使用多项式时间算法的结果进行了比较。
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引用次数: 1
Adaptive control of nonholonomic wheeled mobile robot 非完整轮式移动机器人的自适应控制
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105287
R. Ramakrishnan, D. Elayaraja, S. Ramabalan
A robot's mobility is mainly concerned about its size, surface of motion and way of propagation (wheel). The wheel carries the load and generates the friction between the wheel and surface of motion. The bearing capacity of ground, traction performance of the wheel and geometry of terrain profile are the important factors of wheel topography interaction. In this research, we mainly deal with the system and control concepts of the wheeled mobile robot. The robot's active model is discussed by taking the contact forces of the wheel due to their relative motion of the wheel and contact plane in the account. The results are derived by introducing a dynamic relation, in expressions of the forces, torques and displacements related to wheel terrain interaction. The forces in the system, arising from the interaction between a deformable wheel and rigid terrain are calculated using Ansys14.0. A Matlab-Simulink program is used to simulate the designed system and the results are graphically plotted.
机器人的机动性主要与机器人的大小、运动面和传播方式(轮)有关。车轮承载载荷,并在车轮与运动表面之间产生摩擦。地面的承载能力、车轮的牵引性能和地形轮廓的几何形状是影响车轮地形相互作用的重要因素。在本研究中,我们主要研究轮式移动机器人的系统和控制概念。考虑车轮与接触平面的相对运动所产生的接触力,讨论了机器人的主动模型。通过引入与车轮地形相互作用有关的力、力矩和位移的动态关系,得出了上述结果。利用Ansys14.0计算了系统中由可变形车轮与刚性地形相互作用产生的力。利用Matlab-Simulink程序对所设计的系统进行了仿真,并绘制了仿真结果。
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引用次数: 4
Power balanced load shedding of microgrid systems using nonlinear system stabilizer 应用非线性系统稳定器的微电网系统功率平衡减载
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105279
G. Jaya Bharathi, H. Sait
A micro grid is an eco-friendly power system because renewable sources are used as main power sources. In the islanded operation mode of a micro grid, maintaining the balance between power supply and power demand is a very important problem. In the case of surplus supply, decreased generation output and/or charge of distributed storages can be applied to solve the imbalance between power supply and demand. In the case of supply shortages, increased generation output and/or discharge of distributed storages can be applied. Especially in the case of critical supply shortages, load shedding should be applied. In a distributed load-shedding approach, micro grid components need to make decisions autonomously. For autonomous micro grid operation, depending on load availability been investigated using non linear technique. In this project a distributed load-shedding system of micro grid system using non linear techniques are discussed. The designed system is implemented and tested to show the functionality and feasibility of the proposed system. Using MATLAB tool simpower system a load shedding was developed to improve the stability during fault provoked islanding modes and load availability.
微电网以可再生能源为主要能源,是一种生态友好型电力系统。在微电网孤岛运行模式下,保持电力供需平衡是一个非常重要的问题。在供过于求的情况下,可以采用减少发电出力和/或减少分布式储能收费的方法来解决电力供需不平衡的问题。在供应短缺的情况下,可以采用增加发电输出和/或分布式存储的放电。特别是在供应严重短缺的情况下,应采取减载措施。在分布式减载方法中,微电网组件需要自主决策。利用非线性技术研究了微电网自主运行中负荷可用性的依赖问题。本文讨论了一种采用非线性技术的分布式微网减载系统。设计的系统进行了实现和测试,以显示所提出系统的功能和可行性。利用MATLAB工具simpower system开发了一种减载方案,以提高故障诱发孤岛模式下的稳定性和负荷可用性。
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引用次数: 4
Temperature, pH and loading rate effect on biogas generation from domestic waste 温度、pH和负荷率对生活垃圾产沼气的影响
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105292
U. D. Vikrant, C. Ajit, V. Yogesh
Biogas typically refers to a gas produced by the biological breakdown of organic matter in the absence of oxygen. Anaerobic digestion is a microbial process for production of biogas, which consists of primarily methane (CH4) & carbon dioxide (CO2). In this paper the various factors affecting biogas generation rate such as temperature, pH, and organic loading rate are studied. An Organic Processing Facility has been created for generation of the biogas which will cut down on landfill waste, be more cost effective, eco-friendly, generate a high-quality renewable fuel and reduce carbon dioxide & methane emissions. From the results and graphs we can conclude that biogas generration rate increases with increase in temperature (i.e. thermophilic range) and loading rate at neutral pH value. We can achieve higher biogas yield from the organic waste and which is equals to 1900l from 2.2kg of domestic waste. Biogas generation rate increases with decrease in methane content but with neglegible amount i. e. 2%. But operating cost of the setup is increases for heating purpose and additives so this may useful for the higher wastage.
沼气通常是指有机物在缺氧条件下生物分解产生的气体。厌氧消化是一种生产沼气的微生物过程,沼气主要由甲烷(CH4)和二氧化碳(CO2)组成。本文研究了温度、pH、有机负荷率等影响沼气产率的因素。一个有机处理设施已经创建用于产生沼气,这将减少垃圾填埋场的垃圾,更具成本效益,环保,产生高质量的可再生燃料,并减少二氧化碳和甲烷的排放。从结果和图表中我们可以得出结论,在中性pH值下,随着温度(即嗜热范围)和加载速率的增加,沼气生成率增加。我们可以从有机废物中获得更高的沼气产量,相当于2.2公斤生活废物产生1900l的沼气。沼气生成率随甲烷含量的降低而增加,但可以忽略不计,即2%。但该装置的运行成本因加热目的和添加剂的增加而增加,因此这可能有助于更高的浪费。
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引用次数: 3
A review on taxonomy of botnet detection 僵尸网络检测的分类研究进展
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105225
P. Panimalar, K. Rameshkumar
Malicious software, `malware`, has acquired an important position in modern high-tech life. There are several malware like virus, worms, trojan horses, root kit forms regularly attacking the networks particularly on internet to steal the information. Apart from these threats botnet is one of the widespread and serious threats, which occurs commonly in today's cyber attacks. The botnet detection has been a major research topic in recent years. This paper clarifies about botnet phenomenon, some of the botnet detection and overview of an extensible fuzzy pattern recognition-based filtering algorithm for botnet detection.
恶意软件(malware)在现代高科技生活中占有重要地位。有一些恶意软件,如病毒,蠕虫,特洛伊木马,根工具包形式经常攻击网络,特别是在互联网上窃取信息。除了这些威胁外,僵尸网络也是一种广泛而严重的威胁,在当今的网络攻击中屡见不鲜。僵尸网络检测是近年来的一个重要研究课题。本文阐述了关于僵尸网络的现象、僵尸网络的一些检测方法,并概述了一种可扩展的基于模糊模式识别的过滤算法用于僵尸网络检测。
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引用次数: 6
Modeling and simulation of hybrid solar-wind-grid power generation system for electrification 电气化混合太阳能-风-网发电系统建模与仿真
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105291
Shekhar Pawar, Yogesh V. Aaher, A. Chaudhari, Yogesh B. Jadhav
Hybrid energy system is an excellent solution for rural electrification where the grid connection not fulfill electricity demand. Economic aspects of these technologies are major parameter in developing countries for power generation. In this paper, first discusses about distribution of renewable energy for specific location then criterion for selection of hybrid system and power management strategies. Optimal design of a hybrid system is developed using a mathematical models, these models are used to calculate power produced by system. This paper describes about pre-feasibility results for cost of system, cost of energy and percentage contribution of each energy source. Hybrid system is connected to grid. In this paper, we try to give simulated result for hybrid system without battery storage. The grid plays the important role of a backup power component in the hybrid system when the renewable energy resource is not enough to meet the load. Removing of battery reduces the cost of energy (COE) as well as net present cost of system (NPC). Finally gives simulation results using HOMER (Hybrid Optimization Model for Electrical Renewable).
混合能源系统是解决农村电网不能满足电力需求的一种很好的解决方案。这些技术的经济方面是发展中国家发电的主要参数。本文首先讨论了可再生能源在特定区域的分布,然后讨论了混合系统的选择准则和电源管理策略。建立了混合动力系统的优化设计数学模型,并利用该数学模型计算系统产生的功率。本文介绍了系统成本、能源成本和各种能源贡献率的预可行性结果。混合动力系统与电网相连。本文试图给出无电池储能的混合动力系统的仿真结果。当可再生能源不能满足负荷时,电网在混合动力系统中起着重要的备用电源作用。电池的移除降低了能源成本(COE)以及系统的净当前成本(NPC)。最后给出了基于电力可再生混合优化模型(HOMER)的仿真结果。
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引用次数: 12
Fuzzy assignment problem of trapezoidal membership functions within the sort of alpha optimal solution using ranking principle 梯形隶属函数在排序阿尔法最优解中的模糊分配问题
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105256
K. Palanivel, K. S. Kumar, S. Srinivasan, P. MuraliKrishna
The fuzzy assignment method works for any problems in which one to one matching is called for in the light of the given payoffs where the total payoff is sought to minimized or maximized. Throughout this paper, solving technique absolutely think about as an assignment problem with the assistance of trapezoidal membership functions and its arithmetic operations. Solving procedure has been applied from the approach of fuzzy Hungarian method using Robust Ranking technique. The fuzzified version of the problem has been mentioned with the assistance of a numerical example associated it's proving that the Robust ranking methodology offers an efficient tool for handling the assignment problem. Finally the optimum solution with in the kind of fuzzy numbers and verified its solution with in the nature of fuzzy membership functions.
模糊分配方法适用于根据给定收益要求进行一对一匹配的任何问题,其中总收益寻求最小化或最大化。在本文中,求解技术绝对被认为是一个借助于梯形隶属函数及其算术运算的赋值问题。采用鲁棒排序技术,采用模糊匈牙利法求解。给出了该问题的模糊化版本,并结合实例证明了鲁棒排序方法为处理分配问题提供了一个有效的工具。最后给出了一类模糊数的最优解,并验证了其解具有模糊隶属函数的性质。
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引用次数: 2
Novel and faster strategy for effective control of single phase DVR 单相DVR的快速有效控制策略
Pub Date : 2014-05-02 DOI: 10.1109/ICAET.2014.7105259
S. Sontakke, M. Ghat
Due to evolution in the power system, the emergence of smaller generating systems such as micro turbines, Wind Turbines, Solar PV system, etc., have opened new opportunities for onsite power generation which is located at user's site called Distributed Energy Resources (DER). The significant potential of DER to meet customers need and utilities independently can be captured by organizing these resources into Microgrid. With the ever increasing use of Power Electronics devices, Power Quality has become a major concern for utility operators as well as consumers. Power Quality mainly affect due to disturbances like voltage sag, swell, transients (oscillatory and impulsive) momentary interruptions, harmonics, flicker etc. This necessitates monitoring and estimation of these disturbances continuously so that it can be corrected almost instantly. The different methods for power quality indices estimation are RLS, LMS, LES, FFT, Kalman Filter, Wavelet Transform, etc. In this paper very simple and thus faster, Modified Recursive Gauss Newton (MRGN) algorithm for power Quality estimation is used. This estimation is done for the output terminals of the DG and it is further used for a simple control strategy of single phase Dynamic Voltage Restorer (DVR), a series compensating device for power quality improvement in terms of Voltage Sag, Swell and Harmonics during supply disturbances.
由于电力系统的发展,小型发电系统的出现,如微型涡轮机、风力涡轮机、太阳能光伏系统等,为位于用户现场的分布式能源(DER)现场发电提供了新的机会。通过将这些资源组织到微电网中,可以捕捉到DER在满足客户需求和独立公用事业方面的巨大潜力。随着电力电子设备使用的不断增加,电能质量已成为公用事业运营商和消费者关注的主要问题。电能质量主要受电压凹陷、膨胀、瞬态(振荡和脉冲)瞬时中断、谐波、闪烁等干扰影响。这就需要持续地监测和估计这些干扰,以便几乎可以立即加以纠正。电能质量指标估计的方法有RLS、LMS、LES、FFT、卡尔曼滤波、小波变换等。本文采用改进递归高斯牛顿(MRGN)算法进行电能质量估计,算法简单、快速。该估计是对DG的输出端进行的,并进一步用于单相动态电压恢复器(DVR)的简单控制策略,DVR是一种用于改善电源干扰期间电压凹陷、膨胀和谐波方面的电能质量的系列补偿装置。
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引用次数: 0
期刊
2014 International Conference on Advances in Engineering and Technology (ICAET)
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