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2011 World Congress on Information and Communication Technologies最新文献

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Design and performance analysis of energy efficient technique for wireless multimedia sensor networks using machine learning algorithm 基于机器学习算法的无线多媒体传感器网络节能技术设计与性能分析
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141406
Kibrewerk Akalu, K. Raimond
Wireless multimedia sensor networks (WMSNs) are developed from wireless sensor networks (WSNs) for acquiring and transmitting multimedia data such as images, audio and video streams and scalar data. Energy is the most critical factor in sensor networks. Its power requirement is satisfied by low capacity and low power battery. Reduction of communicated multimedia volume is an important step to reduce energy consumption in WMSNs because of the relatively huge amount of data collected by the nodes compared with scalar sensors. One of the algorithms in machine learning which can reduce the dimensionality is unsupervised learning Self Organizing Map (SOM) which typically performs dimensionality reduction through pattern clustering. In this work, an attempt has been made to reduce the amount of transmitted information in WMSNs using SOM in order to increase the lifetime of the network. The proposed design has shown an increase of 158.03 % in network lifetime compared to JPEG.
无线多媒体传感器网络(wmsn)是在无线传感器网络(wsn)的基础上发展起来的,用于采集和传输图像、音频、视频流和标量数据等多媒体数据。能量是传感器网络中最关键的因素。其功率需求由小容量、低功率电池来满足。与标量传感器相比,wmsn节点收集的数据量相对较大,因此减少通信多媒体体积是降低wmsn能耗的重要步骤。无监督学习自组织映射(SOM)是机器学习中可以降维的算法之一,它通常通过模式聚类来实现降维。在这项工作中,已经尝试使用SOM减少wmsn中传输的信息量,以增加网络的生命周期。与JPEG相比,该设计的网络寿命增加了158.03%。
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引用次数: 3
An efficient hybrid clustering approach of microarray gene expression data 微阵列基因表达数据的高效混合聚类方法
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141305
R. Priscilla, S. Swamynathan
Today, DNA microarray technology is the most widely employed functional genomics approach in the bioinformatics domain. Disclosing the patterns masked in gene expression data provides an opportunity for an enhanced comprehension of functional genomics. But, the large number of genes and the intricate biological networks has greatly increased the challenges of comprehending and interpreting the resulting mass of data, which often contains millions of measurements. So, clustering techniques are used to tackle this challenge. Several clustering techniques have been developed and used in the analysis of microarray data. But, such techniques are not much efficient in analyzing the gene expression data. In this paper, we propose a novel efficient hybrid clustering approach based on quad tree data structure. In the hierarchical clustering process, the creation of the closest pair data structure in each level is an important time factor that provides the processing time of clustering. Here, a quad tree based data structure is used for identifying the closest pair elements. Thus, the proposed approach reduces the processing time successfully and offers a better analysis of gene expression data.
目前,DNA微阵列技术是生物信息学领域应用最广泛的功能基因组学方法。揭示隐藏在基因表达数据中的模式为增强对功能基因组学的理解提供了机会。但是,大量的基因和复杂的生物网络大大增加了理解和解释由此产生的大量数据的挑战,这些数据通常包含数百万个测量值。因此,聚类技术用于解决这一挑战。几种聚类技术已被开发并用于微阵列数据的分析。但是,这种技术在分析基因表达数据方面效率不高。本文提出了一种基于四叉树数据结构的高效混合聚类方法。在分层聚类过程中,每一层最接近对数据结构的创建是提供聚类处理时间的重要时间因素。这里,基于四叉树的数据结构用于标识最接近的元素对。因此,该方法成功地减少了处理时间,并提供了更好的基因表达数据分析。
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引用次数: 2
A dynamic user profiling technique in a AmI environment AmI环境中的一种动态用户分析技术
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141427
Vitor Marques, Ângelo Costa, P. Novais
Currently there are many services that can assist the human being in his decision making. Many of these services provide aid as consistent as possible attending the characteristics and preferences of a user, which compiled results in a person's profile. Without profiles, systems could not provide a coherent aid to a user. In addition we can consider the profiles as the basis of recommendation systems. Paramount with cognitive helping systems, that provide decisions and recommendations these actions can more accurate and user driven. However, the profiles need to be updated over time, as a human being changes of preferences or beliefs, the profiles also need to adapt to dynamic environments. It is introduced a project that applies the Bayesian Networks and Case-Based Reasoning techniques to create and modulate user profiles in a coherent and dynamic way, using stochastic models and high-level event relations and characteristics to devise an accurate suggestion of activities the user can perform, being integrated in an Ambient Assisted Living Project.
目前有许多服务可以帮助人们做出决策。这些服务中的许多都尽可能地根据用户的特征和偏好提供一致的帮助,并将结果汇总到用户的个人资料中。没有概要文件,系统就不能为用户提供连贯的帮助。此外,我们可以考虑将配置文件作为推荐系统的基础。最重要的是认知帮助系统,它提供决策和建议,这些行动可以更准确和用户驱动。然而,概要文件需要随着时间的推移而更新,因为人类的偏好或信念会发生变化,概要文件还需要适应动态环境。介绍了一个项目,该项目应用贝叶斯网络和基于案例的推理技术,以连贯和动态的方式创建和调节用户档案,使用随机模型和高级事件关系和特征来设计用户可以执行的活动的准确建议,并将其集成到环境辅助生活项目中。
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引用次数: 5
Comparative design analysis of microstrip patch antennas for UWB applications 超宽带应用微带贴片天线的比较设计分析
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141391
R. Khan, R. Yadav
The basic objective of the paper is to design a microstrip patch antenna for UWB wireless communication. The paper presents different types of microstrip antennas and compares their performance based on various characteristics so as to find the best antenna that can be used for 4-G communication. In this paper we have designed three antenna-C-shaped antenna, E-shaped antenna and 2F-shaped antenna. We have compared them on the basis of gain, return loss, radiation efficiency and VSWR. Conclusion has been drawn from the three designs and the antenna providing optimal performance is selected for further implementation.
本文的基本目标是设计一种用于超宽带无线通信的微带贴片天线。本文介绍了不同类型的微带天线,并根据不同的特性对其性能进行了比较,以期找到适合4g通信的最佳天线。本文设计了三种天线:c形天线、e形天线和2f形天线。我们从增益、回波损耗、辐射效率和驻波比等方面对它们进行了比较。从三种设计中得出结论,选择性能最优的天线进行进一步设计。
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引用次数: 0
Power analysis of TH23 null conventional logic TH23零常规逻辑的功率分析
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141355
S. Jaiswal, K. Verma, D. Jain, N. Devi
The most important logic unit in asynchronous circuit is null conventional logic unit. A new technology called semi-static threshold gate is used for realization of null conventional logic unit. In this paper TH23 NCL gate is designed in both semi-static and static style. These are implemented in tsmc 180nm process with minimum 1.8V power supply. Power analysis is performed for both type of style. From this analysis it is clear that power dissipation of semi-static style is less as compared to static style.
异步电路中最重要的逻辑单元是空常规逻辑单元。采用半静态门限门技术实现零常规逻辑单元。本文对TH23 NCL门进行了半静态和静态两种设计。采用台积电180nm制程,最低电源为1.8V。对两种类型的风格进行功率分析。从这个分析可以清楚地看出,与静态风格相比,半静态风格的功耗更小。
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引用次数: 0
Information & communication technology based train operation management system for Mumbai suburban central line 基于信息通信技术的孟买城郊中心线列车运行管理系统
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141245
H. Kagra, P. Sonare
The Mumbai (CR) Suburban train system, operating approx. 1470 trains & handling approx. 3.5 Lakh passengers daily, is a high density, high turnaround complex network which demands extremely fast & efficient train control system. The manual control is slow, tedious, stressful and doesn't involve holistic operational management. It is inadequate to handle the commuters' ever increasing demand of more trains / timely information. The TMS on Chatrapati Shivaji Terminus - Kalyan section accomplishes Train Control & Information dissemination automatically. The train movement data is picked up from the stations through high-speed modems and fed to a centralized UNIX server, which commands the train movement and triggers the passenger information system. This has increased punctuality & efficiency of train operations, facilitated running more trains and enhanced passenger satisfaction.
孟买(CR)城郊列车系统,运营大约。约1470列火车和装卸。每天有35万乘客,这是一个高密度、高周转率的复杂网络,需要极其快速高效的列车控制系统。人工控制缓慢、繁琐、压力大,不涉及整体运营管理。它不足以满足通勤者对更多列车/及时信息日益增长的需求。Chatrapati Shivaji总站- Kalyan路段的TMS自动完成了列车控制和信息发布。列车运行数据通过高速调制解调器从车站获取,并提供给中央UNIX服务器,该服务器指挥列车运行并触发乘客信息系统。这提高了列车运行的正点率和效率,促进了更多列车的运行,提高了乘客的满意度。
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引用次数: 0
Evaluation and ranking of supplier at a service firm using analytic hierarchy process 使用层次分析法对服务公司的供应商进行评估和排序
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141371
S. Koul, Ankur Saraswat, R. Verma
In this paper the relationship of a buyer-supplier is studied so as to determine the potential supplier. Analytical Hierarchy Process technique is used to rank the suppliers. Decision makers at a service firm supplying products and processes to the steel industry worldwide, through an empirical study help identify factors that affect supplier selection procedure. Critical parameters for supplier evaluation and selection are assessed through a structured interview with top management of the service firm.
本文研究了买方与供应商之间的关系,以确定潜在的供应商。采用层次分析法对供应商进行排序。一家为全球钢铁行业提供产品和工艺的服务公司的决策者通过实证研究,帮助确定了影响供应商选择程序的因素。通过对服务公司高层管理人员进行结构化访谈,评估了供应商评估和选择的关键参数。
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引用次数: 2
A prediction based approach for stock returns using autoregressive neural networks 基于自回归神经网络的股票收益预测方法
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141431
A. M. Rather
This paper presents a prediction based neural networks approach for stock returns. An autoregressive neural network predictor is used to predict future stock returns. In this predictor, the differences between the values of the series of stock returns and a specified past value are the regression variables. Various error metrics have been used to evaluate the performance of the predictor. Experiments with real data from National stock exchange of India (NSE) were employed to examine the accuracy of this method.
本文提出了一种基于神经网络的股票收益预测方法。利用自回归神经网络预测器预测股票的未来收益。在这个预测器中,股票收益序列值与指定的过去值之间的差异是回归变量。已经使用了各种误差度量来评估预测器的性能。用印度国家证券交易所(NSE)的真实数据进行了实验,检验了该方法的准确性。
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引用次数: 22
Wideband spectrum sensing based on energy detection for Cognitive Radio network 基于能量检测的认知无线网络宽带频谱感知
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141322
S. Srinu, S. L. Sabat, S. Udgata
Spectrum sensing is an essential concept in Cognitive Radio (CR) systems. It exploits the inefficient utilization of radio frequency spectrum without causing destructive interference to the licensed/primary user communication. In recent past, most of the studies on spectrum sensing are focused on cooperative/multinode detection approaches. However, they are confined to the detection of signals in a single frequency band or narrow band. In order to improve the opportunistic throughput, the CR must sense the signals in multiple bands or wideband. This paper presents a wideband spectrum sensing technique based on energy measurement in each sub band. The simulation result shows that the wideband sensing algorithm detects primary user (PU) signal upto −8dB average SNR with sample size 256, for 8 nodes in cooperation. It is able to detect only upto 0dB average SNR for singe node detection with sample size 64 with detection probabilty Pd ≥ 0.9, and false alarm probability Pf ≤ 0.01. We have also implemented the wideband spectrum sensing in Xilinx Virtex-4 (XC4VSX35-FFG668-10) Field programmable Gate Arrays.
频谱感知是认知无线电(CR)系统中的一个重要概念。它利用了无线电频谱的低效利用,而不会对许可/主用户通信造成破坏性干扰。近年来,频谱感知的研究大多集中在合作/多节点检测方法上。然而,它们仅限于对单频带或窄带信号的检测。为了提高机会吞吐量,CR必须在多个频带或宽带中检测信号。提出了一种基于各子带能量测量的宽带频谱传感技术。仿真结果表明,在8个节点合作的情况下,宽带感知算法可以检测到主用户(PU)信号,平均信噪比为- 8dB,样本量为256。对于样本量为64的单节点检测,平均信噪比仅能检测到0dB,检测概率Pd≥0.9,虚警概率Pf≤0.01。我们还在Xilinx Virtex-4 (xc4vs35 - ffg668 -10)现场可编程门阵列中实现了宽带频谱传感。
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引用次数: 11
Global cooperative caching for Wireless Sensor Networks 无线传感器网络的全局协同缓存
Pub Date : 2011-12-01 DOI: 10.1109/WICT.2011.6141250
N. Chauhan, L. Awasthi, N. Chand
Wireless Sensor Networks (WSNs) have many distinct characteristics which distinguish them from other wireless networks. WSNs are highly distributed networks, where cooperative caching can play a major role in handling the request effectively. This helps WSNs in alleviating the situations of non availability of data, and reduces the requirement of wireless bandwidth, storage and energy. In this paper, we present a scheme called global cluster cooperation for wireless sensor networks (GCCS) for caching in wireless sensor networks. GCCS scheme uses a cache discovery algorithm to find the node who has cached the queried data item. GCCS also employs cache admission control, cache consistency, cache replacement mechanism to improve the overall performance of the scheme. Simulation experiments show that GCCS mechanism achieves significant improvements in byte hit ratio and average query latency in comparison with other caching strategies.
无线传感器网络(WSNs)具有许多不同于其他无线网络的特点。无线传感器网络是高度分布式的网络,协作缓存在有效处理请求方面发挥着重要作用。这有助于缓解无线传感器网络数据不可用的情况,降低对无线带宽、存储和能量的要求。本文提出了一种无线传感器网络全局集群协作(GCCS)方案,用于无线传感器网络中的缓存。GCCS方案使用缓存发现算法来查找已缓存所查询数据项的节点。GCCS还采用了缓存接纳控制、缓存一致性、缓存替换机制来提高方案的整体性能。仿真实验表明,与其他缓存策略相比,GCCS机制在字节命中率和平均查询延迟方面都有显著提高。
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引用次数: 8
期刊
2011 World Congress on Information and Communication Technologies
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