2014 Fourth International Conference on Communication Systems and Network Technologies最新文献_第2页

DTMF Based Automation System with Reduction of Noise Using Goertzel DFT Estimation 基于DTMF的Goertzel DFT估计降噪自动化系统

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.230

Afshan Mulla, Jaypal Baviskar, Amol Baviskar

引用次数: 10

Automated Process of Server and Client Environment with Attack Alert Based on DES 基于DES的带有攻击警报的服务器和客户端环境自动化过程

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.155

Saket Gupta, Saurabh Jain, Rachana Mishra

{"title":"Automated Process of Server and Client Environment with Attack Alert Based on DES","authors":"Saket Gupta, Saurabh Jain, Rachana Mishra","doi":"10.1109/CSNT.2014.155","DOIUrl":"https://doi.org/10.1109/CSNT.2014.155","url":null,"abstract":"In the Internet era it is difficult to stop any one on the communication platform. So it will be better if we adopt some security mechanism with some alert system. So in this paper we proposed a data encryption standard (DES) based automated server client communication system which provides better security in terms of data communication. In our system if the request is arrived to server from the client, the server automates the process if the clients is authorized and apply encryption and partition on the requested data before sending it. Then for preventing any unauthorized access in the communication area, server add zero (0) parity bit along with the sending frame. The file sending process will be automated so that it will reduce the time overhead. If any unauthentic user wants to access the data the hidden parity will become 1 and notify to the server automatically. Then the server will provide alert to the client. It means our approach can process data in less time as well as timely alert can be possible even if the data will be opened only but not updated. The results will illustrate the impact of our approach.","PeriodicalId":414040,"journal":{"name":"2014 Fourth International Conference on Communication Systems and Network Technologies","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055288","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

Inter-cloud Data Transfer Security 云间数据传输安全

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.137

R. Chalse, A. Katara, A. Selokar, R. Talmale

引用次数: 3

An Approach to Mine Significant Frequent Patterns by Quantity Attribute 一种利用数量属性挖掘重要频繁模式的方法

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.88

Arti N. Rathod, A. Dhabariya, C. Thacker

引用次数: 2

A Model Predictive Controller Using Multiple Linear Models for Continuous Stirred Tank Reactor (CSTR) and ITS Implementation Issue 基于多线性模型的连续搅拌槽式反应器模型预测控制器及其实现问题

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.204

V. Agarwal, Manish Gupta, Umesh Gupta, Rahul Saraswat

{"title":"A Model Predictive Controller Using Multiple Linear Models for Continuous Stirred Tank Reactor (CSTR) and ITS Implementation Issue","authors":"V. Agarwal, Manish Gupta, Umesh Gupta, Rahul Saraswat","doi":"10.1109/CSNT.2014.204","DOIUrl":"https://doi.org/10.1109/CSNT.2014.204","url":null,"abstract":"The linear model predictive control is popular since the past century and witnessed a steadily increasing attention from theoretical as well as practical point of view in the area of Nonlinear Model Predictive Control (NMPC). The practical interest is driven by the fact that today processes need to be operated under robust Performance specifications. At the same time more and more constraints, stemming for example from environmental and safety considerations, need to be satisfied. Often these demands can only be met when process nonlinearities and constraints are explicitly considered in the controller. Linear Model Predictive Control (LMPC) schemes which make use of linear dynamic model for prediction, limit their applicability to a narrow range of operation to system which exhibit nonlinear dynamics. Most of the existing model predictive control algorithms for nonlinear systems require the solution of a non-convex nonlinear optimization problem within the interval of one sample time. In this Paper, we presented non linear system as a family of local linear models. Nonlinear Model Predictive Controller which will use these local linear models for prediction has been developed. Comparison of this NMPC method and nonlinear PID controller method for controlling a nonlinear process is made. The effectiveness of the proposed control schemes have been demonstrated on a Continuous Stirred Tank Reactor (CSTR) process, which exhibits nonlinear dynamic. Finally issues about practically implementing this Nonlinear Model Predictive Controller using dedicated ASIC's are discussed.","PeriodicalId":414040,"journal":{"name":"2014 Fourth International Conference on Communication Systems and Network Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124559435","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: 9

Location Prediction in Social Media Based on Contents and Graphs 基于内容和图形的社交媒体位置预测

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.239

Danqing Xu, Shiqiang Yang

引用次数: 5

Integrating Machine Learning Techniques to Constitute a Hybrid Security System 整合机器学习技术构成混合安全系统

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.221

Nikita Singh, N. Chandra

引用次数: 3

An Efficient Approach for Supervised Learning Algorithms Using Different Data Mining Tools for Spam Categorization 利用不同数据挖掘工具进行垃圾邮件分类的有效监督学习方法

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.100

Rachana Mishra, R. S. Thakur

{"title":"An Efficient Approach for Supervised Learning Algorithms Using Different Data Mining Tools for Spam Categorization","authors":"Rachana Mishra, R. S. Thakur","doi":"10.1109/CSNT.2014.100","DOIUrl":"https://doi.org/10.1109/CSNT.2014.100","url":null,"abstract":"Spam is the major problem and a big challenge for researcher to reduce spam. Spam is commonly defined as unsolicited email messages and the goal of spam categorization is to distinguish between spam and legitimate email messages. This paper shows classification of spam mail and solving various problems is related to web space. This paper also shows measures parameter which are helpful for reduce the spam or junk mail. Many machine learning algorithm are using to classified the spam and legitimate mail. This paper proposes the best classifier and better classification approach using different data mining tools using bench mark dataset. The dataset consist of 9324 records and 500 attributes used for (training and testing) to build the model. In this paper, a procedure that can help eliminate unsolicited commercial e-mail, viruses, Trojans, and worms, as well as frauds perpetrated electronically and other undesired and troublesome e-mail. This paper shows analyzing of different supervised classifiers technique using different data mining tools such as Weka, Rapid Miner, and Support Vector Machine. This paper shows Weka data mining tool give highest accuracy over different data mining tools.","PeriodicalId":414040,"journal":{"name":"2014 Fourth International Conference on Communication Systems and Network Technologies","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123456772","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: 7

Mechanical Condition Determination of Vehicle and Traffic Density Estimation Using Acoustic Signals 基于声信号的车辆力学状态确定与交通密度估计

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.57

Bhumika J. Barai, G. Kamdi

{"title":"Mechanical Condition Determination of Vehicle and Traffic Density Estimation Using Acoustic Signals","authors":"Bhumika J. Barai, G. Kamdi","doi":"10.1109/CSNT.2014.57","DOIUrl":"https://doi.org/10.1109/CSNT.2014.57","url":null,"abstract":"Vehicles may be classified by a number of different criteria and objectives. However, comprehensive classification is elusive, because a vehicle may fit into multiple categories, there are numerous ways of categorizing vehicles. Numerous jurisdictions establish vehicle classification according to the vehicles construction, engine, weight, type of fuel and emissions, as well as the purpose for which they are used. Vehicular acoustic signal have long been considered as unwanted traffic noise. However Vehicles of different types generate dissimilar sound patterns even in similar working conditions. Sound patterns generated by moving vehicles vary depending on their types and hint information necessary to classify the vehicles. Various sound sources include engine, rotating parts and exhaust system. Other factors influencing variation of sound are condition of the vehicle, environmental conditions, road conditions, maintenance of the vehicle and so on. Different types of noise coming from different vehicles mix in the environment and identifying a particular vehicle is a challenging one. In this work acoustic signals generated by different category of vehicles will be used to detect its presence and classify its type. Many acoustic factors can contribute to the classification accuracy of ground vehicles. Acoustic signal classification consists of extracting the features from a roadside acquired acoustic signal, and of using these features to identify classes the acoustic signal is liable to fit.","PeriodicalId":414040,"journal":{"name":"2014 Fourth International Conference on Communication Systems and Network Technologies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114727005","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

Exposing Digital Image Forgeries from Near Duplicate Images 从接近重复的图像中揭露数字图像伪造

2014 Fourth International Conference on Communication Systems and Network Technologies Pub Date : 2014-04-07 DOI: 10.1109/CSNT.2014.190

Snehal M. Khamankar, M. Madankar

引用次数: 1