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Implementation of an Emergency Evacuation System Using Intelligent Routing Using QualNet Simulator 基于QualNet模拟器的智能路由紧急疏散系统的实现
Women In Research Pub Date : 2016-03-21 DOI: 10.1145/2909067.2909092
Praveen Kumar, M. Ruthwik, M. K. Sree, Misba Saad, A. Patil
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引用次数: 1
The Study of the Usage of Data Analytic and Clustering Techniques for Web Elements Web元素数据分析与聚类技术的应用研究
Women In Research Pub Date : 2016-03-21 DOI: 10.1145/2909067.2909089
S. Mehrotra, Shruti Kohli
{"title":"The Study of the Usage of Data Analytic and Clustering Techniques for Web Elements","authors":"S. Mehrotra, Shruti Kohli","doi":"10.1145/2909067.2909089","DOIUrl":"https://doi.org/10.1145/2909067.2909089","url":null,"abstract":"Clustering various web elements facilitates data analysis, which plays an important role in our day-to-day life. Due to massive use of internet and huge electronic data access, some useful technique is needed for web element analysis. Grouping the data according to the categories is the tasks that are helpful in data analysis. Thus, clustering of web elements in various ways is needed. Many researchers are working on cluster analysis and its use for web elements. As a result, various clustering algorithms and tools are developed and used for web analytics. Our study includes a survey of some commonly used clustering algorithms to identify the usage of clustering techniques for improving web elements analysis, in various ways. The study focuses various uses of clustering for web data such as search result clustering to improve result visualization, for segment marketing, and to detect sensitive website.","PeriodicalId":371590,"journal":{"name":"Women In Research","volume":"23 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128444127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A Survey of various Sink Mobility based Techniques in Wireless Sensor Network 无线传感器网络中基于Sink移动的各种技术综述
Women In Research Pub Date : 2016-03-21 DOI: 10.1145/2909067.2909075
Suwarna Latambale, Sumedha Sirsikar
{"title":"A Survey of various Sink Mobility based Techniques in Wireless Sensor Network","authors":"Suwarna Latambale, Sumedha Sirsikar","doi":"10.1145/2909067.2909075","DOIUrl":"https://doi.org/10.1145/2909067.2909075","url":null,"abstract":"Mobility of nodes plays a key role in Wireless sensor network (WSN). It comes up with challenges like energy efficiency and improve network lifetime. WSN contain nodes which are having capability of sensing, computation, and wireless communications. Every node has ability to communicate with other node or Base Station (BS). Sensor nodes have limited energy as compared to BS. Energy efficiency is very important in WSN, because sensor node cannot provide energy for long time while sensing and processing data in network. For this reason mobile sink is rich in energy supply and computational power. Mobile sink can be used to improve the performance of network by shifting the load of energy depletion from sensor node to sink. The effective way to increase the network lifetime is to reposition the sink node. It also helps to reduce energy-holes problems. It is necessary to keep track of mobile sink so that data distribution should take place correctly. But tracking the location of mobile sink and updating it frequently is also a challenge for energy conservation and it affects the network performance. Various sink mobility strategies exist to increase energy efficiency. This paper mainly focuses on study of different algorithms, which are used for efficient data processing using mobile sink.","PeriodicalId":371590,"journal":{"name":"Women In Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Data Science and Big Data Analytics, ACM-WIR 2018, Women In Research 2018, Indore, India, 5-6 January 2018 数据科学与大数据分析,ACM-WIR 2018, Women In Research 2018,印度,2018年1月5-6日
Women In Research Pub Date : 1900-01-01 DOI: 10.1007/978-981-10-7641-1
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引用次数: 1
Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors 基于叶子颜色聚类的无监督机器学习
Women In Research Pub Date : 1900-01-01 DOI: 10.1007/978-981-10-7641-1_26
K. A. Kumar, B. Kumar, A. Veeramuthu, V. S. Mynavathi
{"title":"Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors","authors":"K. A. Kumar, B. Kumar, A. Veeramuthu, V. S. Mynavathi","doi":"10.1007/978-981-10-7641-1_26","DOIUrl":"https://doi.org/10.1007/978-981-10-7641-1_26","url":null,"abstract":"","PeriodicalId":371590,"journal":{"name":"Women In Research","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128948586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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