2015 5th Nirma University International Conference on Engineering (NUiCONE)最新文献_第3页

Data streams and privacy: Two emerging issues in data classification 数据流和隐私:数据分类中的两个新问题

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449597

Radhika Kotecha, Sanjay Garg

{"title":"Data streams and privacy: Two emerging issues in data classification","authors":"Radhika Kotecha, Sanjay Garg","doi":"10.1109/NUICONE.2015.7449597","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449597","url":null,"abstract":"Several real-world applications generate data streams where the opportunity to examine each instance is concise. Effective classification of such data streams is an emerging issue in data mining. However, such classification can cause severe threats to privacy. There are several applications like credit card fraud detection, disease outbreak or biological attack detection, loan approval, etc. where the data is homogeneously distributed among different parties. These parties may wish to collaboratively build a classifier to obtain certain global patterns but will be reluctant to disclose their private data. Privacy-preserving classification of such homogeneously distributed data is a challenging issue too. In this paper, we present a brief review of the work carried out in data stream classification and privacy-preserving classification of homogeneously distributed data; followed by an empirical evaluation and performance comparison of some methods in both these areas. We also propose and evaluate an approach of creating an ensemble of anonymous decision trees to classify homogeneously distributed data in a privacy-preserving manner. We further identify the need to develop efficient methods for privacy-preserving classification of homogeneously distributed data streams and propose a suitable approach for the same.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114690267","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

Innovations in evaluation: An integral part of outcome based education 评价的创新:成果教育的一个组成部分

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449604

Akash I. Mecwan, Dhaval Shah, B. Fataniya

引用次数: 4

Invariants based blur classification algorithm 基于不变量的模糊分类算法

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449588

Ruchi Gajjar, T. Zaveri, Ami J. Shukla

引用次数: 2

SBHS: Some control investigations SBHS:一些对照调查

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449600

Priyabrata Majhi, Harsh K. Kapadia, Alpesh I. Patel, J. Barve, Divyesh R. Raninga

引用次数: 0

Analysis of electromagnetic repulsion force for enhancement in repulsion threshold current of contact system in MCCB 提高断路器触头系统斥力阈值电流的电磁斥力分析

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449606

Hardik T. Mehta, Shanker D. Godwal

引用次数: 1

Prediction of total transfer capability using ANN in restructured power system 基于神经网络的重构电力系统总传输能力预测

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449620

Hitarth Buch, Kalpesh K. Dudani, D. Pipalava

引用次数: 2

Web users browsing behavior prediction by implementing support vector machines in MapReduce using cloud based Hadoop 利用基于云的Hadoop在MapReduce中实现支持向量机来预测Web用户的浏览行为

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449648

Pradipsinh K. Chavda, J. S. Dhobi

{"title":"Web users browsing behavior prediction by implementing support vector machines in MapReduce using cloud based Hadoop","authors":"Pradipsinh K. Chavda, J. S. Dhobi","doi":"10.1109/NUICONE.2015.7449648","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449648","url":null,"abstract":"The motivation behind the work is that the prediction of web user's browsing behavior while serving the Internet, reduces the user's browsing access time and avoids the visit of unnecessary pages to ease network traffic. This research work introduces parallel Support Vector Machines for web page prediction. The web contains an enormous amount of data and web data increases exponentially, but the training time for Support vector machine is very large. That is, SVM's suffer from a widely recognized scalability problems in both memory requirements and computation time when the input dataset is too large. To address this, we aimed at training the Support vector machine model in MapReduce programming model of Hadoop framework, since the MapReduce programming model has the ability to rapidly process a large amount of data in parallel. MapReduce works in tandem with Hadoop Distributed File System (HDFS). The so proposed approach will solve the scalability problem of present SVM algorithm. The performance of the proposed approach is evaluated in Amazon cloud EC2 using cloud-based Hadoop. Our experiments show the effectiveness in term of training time and also improve the preprocessing time. We find in our research study that a number of nodes increased the training time of proposed algorithm is decreased. We checked that parallelization of SMO has no more negative effect on the accuracy level, as compared to the standard approach.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131013416","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

QoS aware geographic routing protocol for multimedia transmission in wireless sensor network 基于QoS的无线传感器网络多媒体传输地理路由协议

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449639

Vijay Ukani, Dhaval Thacker

{"title":"QoS aware geographic routing protocol for multimedia transmission in wireless sensor network","authors":"Vijay Ukani, Dhaval Thacker","doi":"10.1109/NUICONE.2015.7449639","DOIUrl":"https://doi.org/10.1109/NUICONE.2015.7449639","url":null,"abstract":"Wireless sensor network (WSN) is a network of small, low power, resource constrained devices distributed in a large area. The principle focus of such network is to monitor some well-defined phenomenon in the sensor field. Availability of low power CMOS camera has offered wings to WSN applications. Broadening the range of applications from monitoring to multimedia surveillance. Multimedia transmission brings newer challenges primarily provisioning of the quality of service. Realtime video surveillance is one class of application which expects timely delivery of the packets. QoS aware routing protocols are required to cater to this demand. Geographic routing protocols are most suited WSN due to its scalability. GPSR, SPEED, and MMSPEED are the protocols which explore 1-hop neighborhood information in packet forwarding. Most of these protocols stations their routing decision on the location of sink and ignoring energy reserves of a node, which is crucial in each WSN application. A geographic routing protocol is proposed in this paper, which is energy aware. Also rather than sticking to maintaining 1-hop neighborhood information, it maintains n-hop neighborhood which helps early detection of void.","PeriodicalId":131332,"journal":{"name":"2015 5th Nirma University International Conference on Engineering (NUiCONE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121948569","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

Teaching of mathematics in engineering by discussing the different conceptual ideas 探讨不同概念的工程数学教学

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449601

S. Malhotra

引用次数: 0

Simulation of typical civil aircraft fuel transfer process 典型民用飞机燃油输送过程仿真

2015 5th Nirma University International Conference on Engineering (NUiCONE) Pub Date : 2015-11-01 DOI: 10.1109/NUICONE.2015.7449599

J. Vyas, G. Balamurugan, M. Rakesh

引用次数: 2