2017 Tenth International Conference on Contemporary Computing (IC3)最新文献_第3页

A horizontal fat mesh interconnection network 一种水平的胖网互连网络

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284343

Akash Punhani, Pardeep Kumar, Nitin

引用次数: 4

Efficient design of full adder and subtractor using 5-input majority gate in QCA QCA中5输入多数门全加减法器的高效设计

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284336

Ramanand Jaiswal, T. Sasamal

引用次数: 23

Supporting collaborative software development in academic learning environment: A collaborative pair and quadruple programming based approach 在学术学习环境中支持协作软件开发:基于协作对和四重编程的方法

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284330

R. Arora, S. Goel, R. Mittal

{"title":"Supporting collaborative software development in academic learning environment: A collaborative pair and quadruple programming based approach","authors":"R. Arora, S. Goel, R. Mittal","doi":"10.1109/IC3.2017.8284330","DOIUrl":"https://doi.org/10.1109/IC3.2017.8284330","url":null,"abstract":"Collaborative Software Development (CSD) practices in software industry engage team of developers, to work over shared codebases hosted over distributed Configuration Management Systems. Several academicians and researchers have focused their efforts to inculcate these collaborative software development practices in engineering curriculum. In order to make this more effective, it is necessary that we replicate a similar environment, as existing in the software industry, and position it in the academic domain. A technology-enabled, teamoriented and collaboration-intensive environment facilitating structured collaborative programming practices is required to foster the collaborative programming competencies of students. In this paper, we propose a technology-enabled academic learning environment for promoting collaborative programming engagements of students. The collaborative activities of the students are structured as pairs and quadruples and are facilitated using the tool named Collaboration Over GitHub (COG). Real-time dashboards, combined with COG, facilitate monitoring and evaluation by teachers during collaborative programming activities. The environment also provides support for remote presence of teachers and students, facilitating remote laboratories, distance education, remote monitoring and evaluation and cross-university software development projects.","PeriodicalId":147099,"journal":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335266","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

Neural network with multiple training methods for web service quality of service parameter prediction 神经网络结合多种训练方法用于web服务质量的服务参数预测

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284307

L. Kumar, A. Sureka

{"title":"Neural network with multiple training methods for web service quality of service parameter prediction","authors":"L. Kumar, A. Sureka","doi":"10.1109/IC3.2017.8284307","DOIUrl":"https://doi.org/10.1109/IC3.2017.8284307","url":null,"abstract":"Web services have several Quality of Service (QoS) properties. Some of the QoS parameters for web services are availability, response time, throughput, modularity, reliability, and interoperability. A client of a web service can have several web services with similar functionality but different QoS properties for application integration. QoS properties play a decisive factor in selecting the best web services from amongst services having similar functionality. Often QoS parameters are not available, not easy to compute or outdated. We present a method to estimate the QoS parameters of web services from the information contained in web service interfaces. We propose a method based on extracting several data, procedural and structural quantity metrics from the web service interfaces and using them as predictors for estimating the QoS properties. We apply neural network method with 6 different training methods for building a predictive model. Our results demonstrate that the proposed approach is effective. Our experimental results reveal that the structural quality metrics outperforms the procedural and data quality metrics in-terms of the RMSE (Root-Mean-Square Error) performance metric. We conclude that the NLM method (Neural Network with Levenberg-Marquardt training method) out performs five other popular neural network training methods.","PeriodicalId":147099,"journal":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131811294","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

Implementation of Ciphertext Policy-Attribute Based Encryption (CP-ABE) for fine grained access control of university data 基于密文策略属性加密(CP-ABE)的大学数据细粒度访问控制实现

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284289

Shardha Porwal, S. Mittal

引用次数: 10

Design and implementation of an intelligent cab service system 智能出租车服务系统的设计与实现

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284334

A. Nath, Ankit Khandelwal, A. Kanojia, Ishitva Minocha, R. Niyogi

引用次数: 7

Fraud detection and frequent pattern matching in insurance claims using data mining techniques 基于数据挖掘技术的保险索赔欺诈检测和频繁模式匹配

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284299

Aayushi Verma, Anu Taneja, Anuja Arora

{"title":"Fraud detection and frequent pattern matching in insurance claims using data mining techniques","authors":"Aayushi Verma, Anu Taneja, Anuja Arora","doi":"10.1109/IC3.2017.8284299","DOIUrl":"https://doi.org/10.1109/IC3.2017.8284299","url":null,"abstract":"Fraudulent insurance claims increase the burden on society. Frauds in health care systems have not only led to additional expenses but also degrade the quality and care which should be provided to patients. Insurance fraud detection is quite subjective in nature and is fettered with societal need. This empirical study aims to identify and gauge the frauds in health insurance data. The contribution of this insurance claim fraud detection experimental study untangle the fraud identification frequent patterns underlying in the insurance claim data using rule based pattern mining. This experiment is an effort to assess the fraudulent patterns in the data on the basis of two criteria-period based claim anomalies and disease based anomalies. Rule based mining results according to both criteria are analysed. Statistical Decision rules and k-means clustering are applied on Period based claim anomalies outliers detection and association rule based mining with Gaussian distribution is applied on disease based anomalies outlier detection. These outliers depict fraud insurance claims in the data. The proposed approach has been evaluated on real-world dataset of a health insurance organization and results show that our proposed approach is efficient in detecting fraud insurance claim using rule based mining.","PeriodicalId":147099,"journal":{"name":"2017 Tenth International Conference on Contemporary Computing (IC3)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126007687","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: 30

Tension detection in online communities 网络社区的张力检测

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284314

Kriti Baindail, Pami Gupta, Parmeet Kaur

引用次数: 0

MSD-Apriori: Discovering borderline-rare items using association mining MSD-Apriori:使用关联挖掘发现边缘稀有物品

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284319

Shikhar Kesarwani, Astha Goel, Neetu Sardana

引用次数: 2

Network diffusion for information propagation in online social communities 网络扩散是指信息在网络社会群体中的传播

2017 Tenth International Conference on Contemporary Computing (IC3) Pub Date : 2017-08-01 DOI: 10.1109/IC3.2017.8284358

Shubham Jain, Govind Mohan, Adwitiya Sinha

引用次数: 6