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2011 Nirma University International Conference on Engineering最新文献

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A novel approach towards Naïve Bayesian classifier 一种新的Naïve贝叶斯分类器方法
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153232
B. Singh, Anupam Agarwal
Bayesian Theory has been an elegant basis for the design of classifiers. There are several classifiers which do not adhere with the Bayesian principle strictly but motivated from the very theory, termed as naive Bayesian methods. The present work proposes a naive Bayesian Classification approach which limits the classification process to the basic operation of the key comparison. Moreover we are able to link the two notions of the probability — frequency in ensemble and idea of reasonable expectation by the means of ordinary algebra.
贝叶斯理论是设计分类器的一个很好的基础。有几个分类器并不严格遵守贝叶斯原理,但从理论本身出发,被称为朴素贝叶斯方法。本工作提出了一种朴素贝叶斯分类方法,该方法将分类过程限制在关键比较的基本操作上。此外,我们还可以用普通代数的方法将合成器中的概率-频率概念和合理期望概念联系起来。
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引用次数: 0
Reliability improvement of Extra High Voltage substation 超高压变电站可靠性改进
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153301
I. Desai, J. Jamnani, S. Takalkar
Reliability of a substation is probability to perform its function adequately for the intended period of time under specified condition with stability, security and ease of maintenance. Reliability is of prime importance for any Extra High Voltage substation. This paper has taken in consideration a 400/220/132 kV Asoj substation. In this paper, Main focus is on improvement in reliability of substation. Substation has been designed with bus schemes which improve the reliability of substation. Improvement in reliability is justified by designing substation with One and a half breaker scheme at 400 kV voltage level. 220 kV side of this substation has been designed with Two main and a transfer bus scheme. Reliability of substation is further improved by designing 132 kV side with Double bus single breaker bus scheme.
变电站的可靠性是指在规定的条件下,在规定的时间内稳定、安全和易于维护地充分发挥其功能的可能性。可靠性对任何超高压变电站来说都是至关重要的。本文以某400/220/132 kV Asoj变电站为研究对象。本文主要研究变电站可靠性的提高问题。变电站采用母线方案设计,提高了变电站的可靠性。通过在400kv电压等级下设计一个半断路器方案来提高变电站的可靠性。220kv侧变电所设计为双主一转母线方案。通过设计132千伏侧双母线单断路器母线方案,进一步提高了变电站的可靠性。
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引用次数: 5
EGG (Enhanced Guided Google) — A meta search engine for combinatorial keyword search EGG (Enhanced Guided Google) -用于组合关键字搜索的元搜索引擎
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153251
V. Raval, Padam Kumar
The World Wide Web has immense resources for all kind of people for their specific needs. Searching on the Web using search engines such as Google, Bing, Ask have become an extremely common way of locating information. Searches are factorized by using either term or keyword sequentially or through short sentences. The challenge for the user is to come up with a set of search terms/keywords/sentence which is neither too large (making the search too specific and resulting in many false negatives) nor too small (making the search too general and resulting in many false positives) to get the desired result. No matter, how the user specifies the search query, the results retrieved, organized and presented by the search engines are in terms of millions of linked pages of which many of them might not be useful to the user fully. In fact, the end user never knows which pages are exactly matching the query and which the pages are not, till one checks it individually by referring that page. Providing the accurate and precise result to the end users has become Holy Grail for the search engines like Google, Bing, Ask etc. This research proposes a meta-search engine called EGG that is intended to use power of the Google for more accurate and combinatorial search. This is achieved through simple manipulation and automation of Google functions that are accessible from EGG through the Google.
万维网为各种各样的人提供了巨大的资源,以满足他们的特定需求。使用Google、Bing、Ask等搜索引擎在网上搜索已经成为一种极其普遍的信息定位方式。通过顺序使用术语或关键字或通过短句来分解搜索。用户面临的挑战是提出一组搜索词/关键字/句子,既不能太大(使搜索太具体,导致许多假阴性),也不能太小(使搜索太一般,导致许多假阳性),以获得期望的结果。无论用户如何指定搜索查询,搜索引擎检索、组织和呈现的结果都是由数百万个链接页面组成的,其中许多页面可能对用户并不完全有用。实际上,最终用户永远不知道哪些页面与查询完全匹配,哪些页面与查询不匹配,直到通过引用该页单独检查。为最终用户提供准确和精确的结果已经成为像Google, Bing, Ask等搜索引擎的圣杯。本研究提出了一个名为EGG的元搜索引擎,旨在利用谷歌的强大功能进行更精确的组合搜索。这是通过简单的操作和Google功能的自动化实现的,这些功能可以通过Google从EGG访问。
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引用次数: 9
Comparative analysis of content based image retrieval using both color and texture 使用颜色和纹理的基于内容的图像检索的比较分析
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153243
Priyanka P. Buch, Madhuri V. Vaghasia, Sahista M. Machchhar
Content Based Image Retrieval is the method to retrieve stored image from database by supplying query image instead of text. This is achieved using proper feature extraction and matching process. Here we have implemented two methods of content based image retrieval using color and texture. In both of these method feature extraction of color is done using color moment. While feature extraction of texture is done using wavelet texture features and Gabor texture features. Finally we have retrieved top images using euclidean distance and chi-square distance and we have made comparative analysis.
基于内容的图像检索是一种通过提供查询图像代替文本从数据库中检索存储图像的方法。这是通过适当的特征提取和匹配过程实现的。在这里我们实现了两种基于内容的图像检索方法,分别使用颜色和纹理。在这两种方法中,颜色特征提取都是利用颜色矩进行的。纹理的特征提取采用小波纹理特征和Gabor纹理特征。最后分别利用欧氏距离和卡方距离对top图像进行检索,并进行对比分析。
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引用次数: 22
Survey on multimedia transmission using Network Coding over Wireless Networks 基于无线网络的网络编码多媒体传输研究
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153256
Twisa Mehta, Z. Narmawala
These days the growth of multimedia applications (e.g. VOIP, teleconferencing etc) over Wireless Networks is on its peak and will further increase with the time. The available bandwidth for Wireless Networks fails to meet the requirements which result in high packet loss of multimedia data, delay in transmission and decreases the quality of multimedia applications. So many approaches are proposed for multimedia streams over Wireless Networks to deal with packet loss and delay over time varying bandwidth. Network Coding is one of the many proposed approaches. This approach works well for transmission of multimedia traffic in a distributed lossy environment where only partial or uncertain information is available for decision making. Network Coding technique allows an intermediate node to combine the data (packets) from different input links and sends encoded data on its output links. So, by employing appropriate variant of Network Coding scheme at each intermediate node (linear combination of input data with the concept of generation) can achieve the network capacity. This paper presents the survey of various papers in which a Network Coding technique is applied on multimedia transmission over Wireless Networks.
如今,无线网络上多媒体应用(如VOIP、电话会议等)的增长正处于顶峰,并将随着时间的推移进一步增长。无线网络的可用带宽不能满足要求,导致多媒体数据丢包率高,传输延迟,降低多媒体应用质量。针对无线网络上多媒体流的丢包和时延问题,提出了多种解决方法。网络编码是众多被提出的方法之一。这种方法适用于只有部分或不确定信息可用于决策的分布式有损环境中的多媒体流量传输。网络编码技术允许中间节点将来自不同输入链路的数据(数据包)组合起来,并在其输出链路上发送编码后的数据。因此,通过在每个中间节点采用适当的网络编码方案变体(输入数据与生成概念的线性组合)来实现网络容量。本文综述了网络编码技术在无线网络多媒体传输中的应用。
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引用次数: 8
Field irrigation management system using Wireless Sensor Network 采用无线传感器网络的农田灌溉管理系统
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153317
Jignesh Patel, Chetan B. Bhatt, B. Patel, Kunal Parwani, Chirag Sohaliya
Increased demand of farm product due to population growth and limited resources of irrigation water has made the field irrigation management system as an important element of agricultural activity. Wireless Sensor Network (WSN) is the most preferred platform due to its low cost, small size, low power consumption, reduced maintenance, great flexibility, portability and scalability features. WSN based expert system is proposed to provide optimized water supply for various crops in the field. It uses on field soil moisture and temperature data to understand the actual need of water.
由于人口增长和灌溉用水资源有限,对农产品的需求增加,使得农田灌溉管理系统成为农业活动的重要组成部分。无线传感器网络(WSN)具有成本低、体积小、功耗低、维护少、灵活性强、便携性强、可扩展性强等特点,是目前最受青睐的平台。提出了基于无线传感器网络的专家系统,为不同作物的田间供水提供优化方案。它利用田间土壤湿度和温度数据来了解实际对水的需求。
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引用次数: 13
Comparative study of congestion control techniques for wireless sensor network 无线传感器网络拥塞控制技术的比较研究
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153252
Haresh M. Rathod, B. Buddhadev
Wireless sensor networks (WSNs) have recently emerged as a new vital area in networking research. WSNs are deployed with large number of small sensor devices which are highly distributed and are able to organize flexibly into a network. Sensor nodes are able to sense physical data and transmit the gathered information to one or more base stations. When large number of nodes starts transmitting their data at the same time, congestion occurs at the nodes near to base station due to many-to-one nature of communication. Congestion in WSNs may lead to poor energy efficiency, higher packet loss, lower throughput and increased packet delay. Hence, congestion control is the major issue that should be considered while designing any transport protocol for WSNs. In this paper, we have discussed recently developed and proposed congestion control techniques for WSNs. Firstly, we emphasized on some unique characteristics of WSNs, then we discuss some guidelines for designing an effective congestion control scheme and then we have compared various congestion control techniques based on QoS parameters such as energy efficiency and fairness. Finally, we conclude our study by defining some future directions.
无线传感器网络(WSNs)是近年来网络研究的一个新的重要领域。无线传感器网络部署了大量高度分布的小型传感器设备,能够灵活地组织成一个网络。传感器节点能够感知物理数据并将收集到的信息传输到一个或多个基站。当大量节点同时开始传输数据时,由于通信的多对一特性,靠近基站的节点会发生拥塞。在无线传感器网络中,拥塞会导致能源效率低、丢包率高、吞吐量低和数据包延迟增加。因此,拥塞控制是设计wsn传输协议时应该考虑的主要问题。在本文中,我们讨论了最近发展和提出的无线传感器网络拥塞控制技术。本文首先分析了无线传感器网络的一些特点,然后讨论了设计有效拥塞控制方案的一些准则,然后比较了基于QoS参数(如能量效率和公平性)的各种拥塞控制技术。最后,我们对研究进行了总结,并提出了未来的发展方向。
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引用次数: 10
Study on statistical models of atmospheric channel for FSO communication link FSO通信链路大气信道统计模型研究
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153263
J. Parikh, V. Jain
In this paper, various channel models like the lognormal, negative exponential, gamma-gamma, K distribution and I-K distribution for frees space optical (FSO) link are reviewed. It is observed that for non-turbulent and weak turbulent channels, the BER performance at short wavelength is better than that at long wavelength for M-PPM signaling scheme. Also, the average power requirement decreases steadily with increase in M. For moderate turbulent channel, there is no significant change in the power level as the value of M is increased. However, in strong turbulent channels, there is a slight increase in the power level with the increase in M.
本文综述了自由空间光(FSO)链路的对数正态、负指数、γ - γ、K分布和I-K分布等信道模型。结果表明,在非湍流信道和弱湍流信道中,M-PPM信令方案短波长的误码率优于长波的误码率。平均功率需求随M的增加而稳定下降,对于中等湍流通道,功率水平随M值的增加没有明显变化。然而,在强湍流通道中,随着M的增加,功率水平略有增加。
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引用次数: 19
Simulation, design and practical implementation of IMC tuned digital PID controller for liquid level control system 液位控制系统IMC整定数字PID控制器的仿真、设计与实际实现
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153308
Sandip A. Mehta, Jatin Katrodiya, Bhargav Mankad
The paper is mainly concerned on Liquid level control systems which are commonly used in many process control applications to control, for example, the level of liquid in a tank. Liquid enters the tank using a pump, and after some processing within the tank the liquid leaves from the bottom of the tank. The requirement in this system is to control the rate of liquid delivered by the pump so that the level of liquid within the tank is at the desired set point. IMC tuned PID algorithm is implemented in MICROC programming language and it is loaded into the PIC microcontroller. The controller generate the output according to the error signal and derives the system towered the zero error. It is also interfaced with PC through MAX232 and DB9 connector for system identification and the observation of output of the system.
本文主要讨论了在许多过程控制应用中常用的液位控制系统,例如控制储罐中的液位。液体通过泵进入罐内,在罐内经过一些处理后,液体从罐底流出。该系统的要求是控制泵输送的液体速率,使罐内的液体液位处于所需的设定点。采用MICROC编程语言实现了IMC调优PID算法,并将其加载到PIC单片机中。控制器根据误差信号产生输出,推导出误差为零的系统。并通过MAX232和DB9接口与PC机接口,用于系统识别和观察系统输出。
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引用次数: 7
Daily peak load forecasting using ANN 利用人工神经网络进行日峰值负荷预测
Pub Date : 2011-12-01 DOI: 10.1109/NUICONE.2011.6153291
M. B. Tasre, P. Bedekar, V. Ghate
Accurate load forecasting plays a key role in economical use of energy. Artificial Neural Network (ANN) models have been extensively implemented to produce accurate results for short-term load forecasting with time lead ranging from an hour to a week. In this paper daily peak load forecasting has been performed for the part of a town supplied by 19 distribution feeders on weekdays by taking into consideration the historical maximum load (Lmax) and maximum temperature (Tmax) data. Back-Propagation algorithm is verified for Momentum learning rule (MLR) and Delta-Bar-Delta learning rule (D-B-DLR). Optimization of the network parameters is performed for both learning rules. The optimized network performances are compared in terms of the mean absolute percentage error (MAPE) and the network complexity.
准确的负荷预测对节约用电起着至关重要的作用。人工神经网络(ANN)模型已被广泛应用于短期负荷预测,以产生准确的预测结果,预测时间从一小时到一周不等。本文结合历史最大负荷(Lmax)和最高温度(Tmax)数据,对某镇19条配电网供电部分在工作日进行了日峰值负荷预测。对动量学习规则(MLR)和Delta-Bar-Delta学习规则(D-B-DLR)进行了反向传播算法的验证。对两种学习规则的网络参数进行了优化。从平均绝对百分比误差(MAPE)和网络复杂度两方面比较了优化后的网络性能。
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引用次数: 13
期刊
2011 Nirma University International Conference on Engineering
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