2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)最新文献_第3页

MMeNR: Neighborhood rough set theory based algorithm for clustering heterogeneous data 基于邻域粗糙集理论的异构数据聚类算法

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975213

B.K. Tripathy, Rahul Chowdhury, Akarsh Goyal, Sharmila Banu K.

{"title":"MMeNR: Neighborhood rough set theory based algorithm for clustering heterogeneous data","authors":"B.K. Tripathy, Rahul Chowdhury, Akarsh Goyal, Sharmila Banu K.","doi":"10.1109/ICICCT.2017.7975213","DOIUrl":"https://doi.org/10.1109/ICICCT.2017.7975213","url":null,"abstract":"In recent times enumerable number of clustering algorithms have been developed whose main function is to make sets of objects having almost the same features. But due to the presence of categorical data values, these algorithms face a challenge in their implementation. Also some algorithms which are able to take care of categorical data are not able to process uncertainty in the values and so have stability issues. Thus handling categorical data along with uncertainty has been made necessary owing to such difficulties. So, in 2007 MMR [1] algorithm was developed which was based on basic rough set theory. MMeR [2] was proposed in 2009 which surpassed the results of MMR in taking care of categorical data. It has the capability of handling heterogeneous data but only to a limited extent because it is based on classical rough set model. In this paper, we generalize the MMeR algorithm with neighbourhood relations and make it a neighbourhood rough set model which we call MMeNR (Min Mean Neighborhood Roughness). It takes care of the heterogeneous data and also the uncertainty associated with it. Standard data sets have been used to gauge its effectiveness over the other methods.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126279329","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: 1

Automation framework for verification of LAMPS and DCS in airbag control unit (ACU) 安全气囊控制单元(ACU)灯具和DCS验证自动化框架

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975225

A. Yamini, M. Rajesh

引用次数: 2

Statistical feature based approach for aspect oriented sentiment analysis 基于统计特征的面向方面情感分析方法

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975223

Nilesh M. Shelke, Shrinivas P. Deshpande, V. Thakare

引用次数: 1

Performance analysis of SRAM cell designed using floating gate MOS 采用浮栅MOS设计的SRAM电池性能分析

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975180

N. Sharma, R. Chandel

引用次数: 1

Multi-user detection in CDMA systems using firefly based optimization 基于萤火虫优化的CDMA系统多用户检测

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975197

A. Kaur, P. S. Mundra

引用次数: 1

Malayalam handwritten character recognition using convolutional neural network 使用卷积神经网络的马来文手写字符识别

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975203

Pranav P. Nair, A. James, C. Saravanan

引用次数: 34

Intelligent traffic signaling system 智能交通信号系统

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975196

Ch. Jaya Lakshmi, S. Kalpana

{"title":"Intelligent traffic signaling system","authors":"Ch. Jaya Lakshmi, S. Kalpana","doi":"10.1109/ICICCT.2017.7975196","DOIUrl":"https://doi.org/10.1109/ICICCT.2017.7975196","url":null,"abstract":"Traffic congestion has become a major problem in every large city of the world. To ensure a reliable transportation system it is important to have an intelligent traffic control system. The very first step to do that is to acquire traffic data. Traffic data may be acquired from different methods. However in recent days image processing techniques has been very important and promising topic to deal with traffic related problems because of its ease of maintenance and being more intelligent system. Most of the work detects edge of the vehicles and counts the number of traffic on the road. The disadvantage of the method is that counting the number of vehicles may give faulty results when space between the vehicles on the road are very small (i.e. two cars very close to each other may be counted as one vehicle). In this the proposed method firstly, compute the amount of area occupied by vehicles on the road rather than finding number of vehicles. The greater the amount of area occupied by vehicles on the road the greater the amount of traffic congestion. This way every kind of vehicles can be accounted for traffic density. Using this traffic data, the proposed model automatically controls the traffic signalling in a sequential manner depending on the amount of traffic on the road.","PeriodicalId":185697,"journal":{"name":"2017 International Conference on Inventive Communication and Computational Technologies (ICICCT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128898073","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

Compact band notch ultra wide band microstrip antenna for short distance wireless applications 用于短距离无线应用的紧凑型带缺口超宽带微带天线

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975161

R. Kalyan, K. Reddy, K. Priya

引用次数: 7

Placement and sizing of DG for distribution system by using a novel algorithm 用一种新算法确定配电系统DG的位置和尺寸

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975222

J. Viswanatharao, E. Praveena, R. Srinivasarao

引用次数: 2

Usage analytics in A-VIEW A-VIEW中的使用分析

2017 International Conference on Inventive Communication and Computational Technologies (ICICCT) Pub Date : 2017-03-01 DOI: 10.1109/ICICCT.2017.7975170

P. Parvathy, S. Sindhumol, K. Bijlani

引用次数: 0