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2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)最新文献

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Real time traffic signal control using fuzzy logic controller: Review 基于模糊控制器的实时交通信号控制:综述
S. Pandey, Pratistha Mathur, Tejashri A. Patil
Traffic signal control system is now become very challenging task. It is necessary make road traffic decent, safe, less time and fuel consuming. There is a requirement to improvise the traffic signal control for better traffic control. In past few years traffic control system handles such a situation but not that much effectively because they are static. There should be a system which should be dynamic in nature so that it can handle traffic easily. This system gives improvement in the performance of traffic intersections control. This paper provides overview of fuzzy logic control system used for better control of flow of traffic ß at every road intersection.
交通信号控制系统成为目前非常具有挑战性的课题。有必要使道路交通体面,安全,减少时间和燃料消耗。为了更好地控制交通,有必要改进交通信号控制。在过去的几年里,交通控制系统处理这种情况,但不是很有效,因为他们是静态的。应该有一个系统,应该是动态的性质,使它可以轻松处理交通。该系统提高了交通交叉口的控制性能。本文概述了模糊逻辑控制系统用于更好地控制各个交叉口的交通流量。
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引用次数: 3
HDFS framework for efficient frequent itemset mining using MapReduce 使用MapReduce高效频繁项集挖掘的HDFS框架
Prajakta G. Kulkarni, S. Khonde
Association rule mining is a very essential data mining technique in different fields. The enormous development of the information needs increased computational power. To address this issue, it is important to study executions of mining algorithms. To find out the frequent itemsets is an essential and vital issue in numerous information mining applications. There are many algorithms present to extract frequent itemsets like Apriori and FP-Growth. But these algorithms lack properties like parallelization, load balancing, data distribution, and fault tolerance on large clusters or big data. A Modified Apriori method is introduced here in which, the mappers and reducers will work simultaneously. This method uses three MapReduce to calculate frequent itemset. The third MapReduce is used to decompose itemsets and gives the final result. In this paper a new scheme or algorithm is proposed that will reduce the execution time for the massive database and works efficiently on number of nodes by using Modified Apriori algorithm.
关联规则挖掘是一种非常重要的数据挖掘技术。信息的巨大发展需要更强的计算能力。为了解决这个问题,研究挖掘算法的执行是很重要的。在众多的信息挖掘应用中,频繁项集的找出是一个至关重要的问题。目前有许多算法用于提取频繁项集,如Apriori和FP-Growth。但是这些算法在大型集群或大数据上缺乏并行化、负载平衡、数据分布和容错等特性。本文介绍了一种改进的Apriori方法,该方法使映射器和约简器同时工作。该方法使用三个MapReduce来计算频繁项集。第三个MapReduce用于分解项目集并给出最终结果。本文提出了一种新的方案或算法,利用改进的Apriori算法来减少海量数据库的执行时间,并在节点数量上高效地工作。
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引用次数: 2
Solving economic dispatch problem using MiPower by lambda iteration method 用lambda迭代法求解MiPower的经济调度问题
Gaurav Chauhan, Anjali Jain, Neelam Verma
Economic dispatch is considered as one of the critical advancement errand and operational choice which gives a financial condition to control framework. The principle emphasis of economic dispatch is the means by which a power system network can be arranged with the goal that we have minimum cost of electric generation to take care of the load demand, while meeting all the balance and imbalance constraints. Economic load dispatch arrangements are found by explaining the customary techniques, for example lambda iteration technique, gradient search technique, linear programming technique, dynamic programming technique and so on. Out of every single traditional technique the convergence rate of lambda iteration method is very fast and it gives accurate results and precise outcomes. This work has been made by utilizing MiPower version9 programming to distinguish the best scheduling of generator. Lambda iteration method is utilized to take care of economic dispatch issue for 6 generating unit framework with and without transmission losses.
经济调度被认为是关键的推进任务和操作选择之一,它为控制框架提供了财务条件。经济调度的原则重点是在满足所有平衡和不平衡约束的同时,以最小的发电成本来照顾负荷需求为目标来安排电网的手段。通过对常用的lambda迭代技术、梯度搜索技术、线性规划技术、动态规划技术等进行阐述,找到了经济的负荷调度方法。在所有的传统方法中,lambda迭代法的收敛速度非常快,并且能给出准确的结果。本工作是利用MiPower version9编程来判别发电机的最佳调度。采用Lambda迭代法处理6台发电机组框架有和无输电损耗时的经济调度问题。
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引用次数: 20
DeyPos: For multi-users environments using MD5 DeyPos:用于使用MD5的多用户环境
Ashwini S Afre, M. Bharati, S. Tamane
Dynamic Proof of Storage (PoS) is a conducive cryptographic rudimentary technology that empowers a client to cohere the respectability of outsourced and in addition insourced records and to proficiently refresh the documents in a server. A multi-client needs the protected customer side cross-client replica method, enabling a client to avoid the transferring procedure, when different proprietors of similar documents have transferred them to the server. Application gives an adaptable and helpful route for information sharing, which brings different advantages for both the general public and people. Be that as it may, there exists a characteristic protection for clients to straightforwardly outsource and insource the common information to the server since the information regularly contain profitable data. It is important to put cryptographically upgraded get to control on the mutual information. Character based encryption is a promising cryptographical primitive to assemble a handy information sharing framework.
动态存储证明(PoS)是一种有用的加密基础技术,它使客户机能够将外包记录和额外的内包记录联系起来,并熟练地刷新服务器中的文档。多客户端需要受保护的客户端跨客户端复制方法,使客户端能够在类似文档的不同所有者将它们传输到服务器时避免传输过程。应用程序为信息共享提供了一种适应性强、有用的途径,它为大众和个人带来了不同的好处。尽管如此,对于直接将公共信息外包和内包给服务器的客户来说,存在一种特征保护,因为这些信息通常包含有利可图的数据。对互信息进行加密升级控制是十分重要的。基于字符的加密是一种很有前途的加密原语,用于组装方便的信息共享框架。
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引用次数: 0
Review of design of lighting system for energy saving using wireless sensor network 基于无线传感器网络的节能照明系统设计综述
Nita D. Thokare, Raskar Rahul Bhausaheb, S. Jawale
The development of mobile internet and semiconductor technology making the people getting strong demand for the home life of the network, intelligence and energy saving. Now a days, energy saving is becoming more vital role as the energy conservation and environmental protection are taking more and more attentions. We can detect environmental condition through intelligent control using Wireless Sensor Network and adjust environmental parameter according to the demand of people's behavior so as to meet peoples demand and save energy. This paper aims to build intelligent lighting energy saving system. In this paper, the proposed system is intelligent lighting system, it can be implemented without destroying the original lighting system.
移动互联网和半导体技术的发展,使得人们对家居生活的网络化、智能化、节能化的需求越来越强烈。如今,随着节能和环境保护越来越受到人们的重视,节能变得越来越重要。我们可以利用无线传感器网络通过智能控制来检测环境状况,并根据人们的行为需求来调整环境参数,从而满足人们的需求,节约能源。本文旨在构建智能照明节能系统。本文提出的系统是智能照明系统,它可以在不破坏原有照明系统的情况下实现。
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引用次数: 3
A study of eye tracking technology and its applications 眼动追踪技术及其应用研究
Pramodini A. Punde, M. Jadhav, R. Manza
We can measure the eye movement activity using eye tracking technology. Eye tracking gives us information about where do we look? What is ignored and how the pupil reacts to different stimuli. The eye tracking concept is basic but its process and interpretation can be very diverse and complex. ET measures the gaze points generated by our eye relative to the head. Eye trackers are availbble in either remote or mobile forms. It tracks and records where do we look and how we move the gaze. One can analyze, visualize and interpret this information with the help of software. We have gone through the common use of fingerprint analysis and applications, eye tracking also would be a great biometric tool for analysis in various applications. In this paper we discuss eye tracking technology and its various applications. Now days, ET is being employed in almost all field including psychology, human computer interaction, marketers, designers, academics, medical, research and many more.
我们可以用眼动追踪技术来测量眼球运动。眼动追踪能让我们知道我们在看哪里?什么被忽略了,以及瞳孔对不同刺激的反应。眼动追踪的概念是基本的,但其过程和解释可能非常多样化和复杂。ET测量我们的眼睛相对于头部产生的注视点。眼动仪有远程和移动两种形式。它能追踪并记录我们看向哪里以及我们如何移动视线。人们可以在软件的帮助下分析、可视化和解释这些信息。我们已经介绍了常用的指纹分析和应用,眼动追踪也会是一个很好的生物识别分析工具在各种应用中。本文讨论了眼动追踪技术及其各种应用。如今,ET几乎被应用于所有领域,包括心理学、人机交互、市场营销、设计师、学术、医学、研究等等。
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引用次数: 32
Education with braille and typography 盲文和排版教育
Siddhesh Sushil Shirsekar
The document targets towards analysis current braille characters, emphasis it's insufficiencies at instructing approaches aimed at little kids with recommend apparent results. This document concentrates largely upon the practice of braille and typography collectively with the fundamental braille writing system and is essential for constructive progress in association for blind kids. The principal thought at the back of the document was to develop a specimen for educational purpose for the blind kids in upcoming and thus providing an educational aid.
该文件旨在分析目前的盲文字符,强调其在针对幼儿的教学方法方面的不足,并推荐明显的效果。这份文件主要集中在盲文和排版的实践与基本的盲文书写系统,是必不可少的建设性进展协会盲童。校长在文件后面的想法是为即将到来的盲童开发一个教育目的的样本,从而提供教育援助。
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引用次数: 0
Wheat disease detection using image processing 基于图像处理的小麦病害检测
Varsha P. Gaikwad, V. Musande
The most important factor in reduction of quality and quantity of crop is due to plant disease. Identifying plant disease is a key to prevent agricultural losses. The aim of this paper is to develop a software solution which automatically detect and classify plant disease. It includes four steps, first step image acquisition, second step is image preprocessing, third step is image segmentation and fourth step is feature extraction which consider color, shape and size. For classification we used here Neural Network based classifier.
造成作物质量和数量下降的最重要因素是植物病害。识别植物病害是防止农业损失的关键。本文的目的是开发一个自动检测和分类植物病害的软件解决方案。它包括四个步骤,第一步是图像采集,第二步是图像预处理,第三步是图像分割,第四步是考虑颜色、形状和大小的特征提取。对于分类,我们使用基于神经网络的分类器。
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引用次数: 42
Improvised fuzzy clustering using name entity recognition and natural language processing 基于名称实体识别和自然语言处理的简易模糊聚类
K. Pole, Vishakha R. Mote
Word wide web is considered as the most important information store in recent years. Web development expands to a great extent with new technologies. Search engines are ineffective when the number of docs in the web is multiplied. In the same way, the retrieval of queries, most of which are not related to what the user was looking for. The documents are of varied and flexible web, there are tough relationships with a web docs and a connection with others. Basically more precise clustering methods are required to detect and denominate latency with consistency to monitor significance in context. This article presents a diffused language area of topology with a diffuse cluster algorithm to discover the contextual concept of Web docs. The chief objective and mission of this research is to focus on the clustering algorithm and to discover latent semantics within a diffused linguistic text body. In addition, the scope of applications can be stretched to accompany areas such as data mining, bioinformatics, content control or information gathering, and so on. Secondly, when it is observed that recovery docs usually belongs to one of the research topic that can be distinctly different as compared to other issues, the major difference between is usually with other issues. Web content can be grouped into hierarchy issues based on diffused language measures. Web data and files that constitutes in the definition of docs are complicated and complex in nature. There are complex links within single Web docs, and there may be complex relationships with other docs. The high interactions between the terms of the docs show only vague and little ambiguous concepts. However in our case study the algorithm mentioned for development extracts the functionality of Web docs using so called random hypothetical field methods and creates a diffused linguistic topology according to the attribute associations.
近年来,万维网被认为是最重要的信息存储。随着新技术的出现,Web开发在很大程度上得到了扩展。当网络上的文档数量成倍增加时,搜索引擎是无效的。以同样的方式,查询的检索,其中大多数与用户正在查找的内容无关。文件是多样的和灵活的网络,有一个棘手的关系与网络文档和其他连接。基本上需要更精确的聚类方法来检测和命名具有一致性的延迟,以监控上下文中的重要性。本文提出了一个拓扑的扩散语言区域,并使用扩散聚类算法来发现Web文档的上下文概念。本研究的主要目标和任务是关注聚类算法,并在分散的语言文本体中发现潜在的语义。此外,应用范围可以扩展到数据挖掘、生物信息学、内容控制或信息收集等领域。其次,当我们观察到,与其他问题相比,恢复文档通常属于一个可以明显不同的研究主题时,其主要区别通常是与其他问题。可以根据分散的语言度量将Web内容分组为层次问题。构成文档定义的Web数据和文件本质上是复杂和复杂的。在单个Web文档中存在复杂的链接,并且与其他文档之间可能存在复杂的关系。文档术语之间的高度交互只显示了模糊和很少含糊的概念。然而,在我们的案例研究中,提到的用于开发的算法使用所谓的随机假设字段方法提取Web文档的功能,并根据属性关联创建扩散的语言拓扑。
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引用次数: 2
Extracting sentiments from reviews: A lexicon-based approach 从评论中提取情感:基于词典的方法
S. L. Sonawane, P. Kulkarni
In last decade, the field of information extraction and retrieval has increased exponentially. Sentiment analysis is a task to identify the polarity of given content. Extracting the useful content from the opinion sources becomes a challenging task. This paper used lexicon based approach for classifying a review document as positive, negative or neutral. This paper extracts the sentiments from customer reviews and SentiWordNet is used to assign the polarity to each sentiment. The classification of review document is predicted by sentimental score.
近十年来,信息提取与检索领域呈指数级增长。情感分析是一项识别给定内容的极性的任务。从意见源中提取有用的内容成为一项具有挑战性的任务。本文采用基于词汇的方法对评审文件进行正面、负面和中性的分类。本文从客户评论中提取情感,并使用SentiWordNet为每个情感分配极性。通过情感评分预测评审文件的分类。
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引用次数: 4
期刊
2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)
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