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2016 1st India International Conference on Information Processing (IICIP)最新文献

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Disease prediction using hybrid K-means and support vector machine 基于k均值和支持向量机的疾病预测
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975367
Sandeep Kaur, S. Kalra
{"title":"Disease prediction using hybrid K-means and support vector machine","authors":"Sandeep Kaur, S. Kalra","doi":"10.1109/IICIP.2016.7975367","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975367","url":null,"abstract":"Medical data mining is one of the significant research field as medical organizations produce large volume of data on daily basis. Handling this vast amount of data in medical field is challenging, so there is a need to mine this data in order to extract useful patterns for disease prediction. A hybrid K-means and Support Vector Machine algorithm for disease prediction is proposed in this paper. The proposed hybrid K-means algorithm is helpful in choosing initial centroids, number of clusters and also to improve the efficiency of K-means algorithm. The hybrid K-means algorithm is used for dimensionality reduction of the dataset which is given as an input to Support Vector Machine classifier. The simulation is performed in MATLAB and from the results it has been analysed that the accuracy of the classification is improved and the processing time to obtain the final output is reduced.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129200248","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: 13
Designing of reliable and optimized multicast routing protocols in MANETS MANETS中可靠优化的组播路由协议设计
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975344
Neelam Sharma, Karan Singh, B. M. Singh
{"title":"Designing of reliable and optimized multicast routing protocols in MANETS","authors":"Neelam Sharma, Karan Singh, B. M. Singh","doi":"10.1109/IICIP.2016.7975344","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975344","url":null,"abstract":"A Mobile Adhoc Network (MANET) is self-possessed combination of mobile nodes. It has to be self-structured. The MANET has few specific goals. These are mobility extensions into wireless domain and autonomous mobile dominion. In this set of specified nodes that form adhoc network with routing infrastructure too. Multicasting is responsible for transferring information efficiently from a source to any destination; duplication of messages and delivery takes place only once and that too at the branch points, due to splitting of the destination links. The authors have successfully been able to address several issues relating to MANET, especially multicasting, its routing protocols and qualitative comparisons. Further, in this paper, authors propose optimized routing protocols with multicasting. It deals with receiver behavior, deployment considerations and routing mechanisms.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134057667","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: 0
An efficient video watermarking approach using scene change detection 一种基于场景变化检测的高效视频水印方法
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975386
J. Panda, Prince Garg
{"title":"An efficient video watermarking approach using scene change detection","authors":"J. Panda, Prince Garg","doi":"10.1109/IICIP.2016.7975386","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975386","url":null,"abstract":"In this paper, we have used a method based on DWT-SVD to insert and extract the watermark in an .avi file using a gray scale image as watermark through four different approaches. Performance comparison of all this four methods has been presented in this paper. To achieve low pay load with high robustness was the aim of this work. The 3rd and 4th method presented in this paper uses scene change detection technique for insertion of watermark as that particular frame of video having scene change characteristics is one of the most important frame in the video. The 4th method is found to be of lowest payload as compared to all other three methods and also results high robustness particular to frame swapping, frame dropping and mpeg compression. The performance of watermarking methods is calculated by peak signal to noise ratio and correlation coefficient to measure the robustness of the watermark schemes against different attacks.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129361814","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
Efficient SNR determination algorithm for lock-in thermogaphy defect detection and quantification 锁相热成像缺陷检测与量化的高效信噪比确定算法
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975332
D. Roy, S. Tuli
{"title":"Efficient SNR determination algorithm for lock-in thermogaphy defect detection and quantification","authors":"D. Roy, S. Tuli","doi":"10.1109/IICIP.2016.7975332","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975332","url":null,"abstract":"Thermal wave imaging for defect detection is a relatively new concept. However, the technique is accepted widely, due to its fast testing speed, low cost. The present paper deals with the data processing part of images obtained from the lock-in experiments for defect detection. The SNR calculation forms an important part of lock-in experiments for quantitative study of defects at different depth. The results of SNR are based on the way a signal is defined. The algorithm followed for SNR calculation, thus is important. An algorithm for SNR calculation for defect quantification in lock-in thermal wave imaging is described here.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"84 Pt 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129022539","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: 0
Towards formalizing adaptive software services 走向形式化自适应软件服务
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975331
Sonali Sharma, R. Raje, R. Malhotra
{"title":"Towards formalizing adaptive software services","authors":"Sonali Sharma, R. Raje, R. Malhotra","doi":"10.1109/IICIP.2016.7975331","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975331","url":null,"abstract":"More and more complex, distributed and software-Intensive systems are built using independently developed services. Due to various reasons, such as changes in the execution environment, these systems may need to adapt their behavior. Although, adaptation at the system level has been extensively studied, developing adaptive services to start-with has not received any significant attention. This paper describes a framework for formalizing the concept of adaptation at the service level, leading to the \"service adaptation by construction\" approach. Hence, the proposed work will help software developers in identifying the important adaptation categories at the service level.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127905981","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: 0
Time series forecasting of stock market index 股票市场指数的时间序列预测
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975381
Udit Agarwal, A. Sabitha
{"title":"Time series forecasting of stock market index","authors":"Udit Agarwal, A. Sabitha","doi":"10.1109/IICIP.2016.7975381","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975381","url":null,"abstract":"Data mining is the extraction of information from huge chunks of the dataset. It's also called information mining. It is applied in various fields like medicine, environment, education, crime etc. In this paper, time series prediction of Indian stock market is done to predict the values of SENSEX index in upcoming days. This research paper has used SENSEX's Index dataset since 2006 to 2016 for time series forecasting using Rapid miner. The model is designed in rapid miner to predict the time series data. The research work is done to predict the SENSEX index in upcoming days.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553720","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: 8
IndiGov-O: An ontology of Indian government to empower digital governance IndiGov-O:印度政府的本体，赋予数字治理权力
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975373
Akshi Kumar, Arunima Joshi
{"title":"IndiGov-O: An ontology of Indian government to empower digital governance","authors":"Akshi Kumar, Arunima Joshi","doi":"10.1109/IICIP.2016.7975373","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975373","url":null,"abstract":"Ontologies enable both humans and machines to communicate precisely to support the exchange of semantics by defining shared collective domain knowledge. In this paper we build an ontology using Protege to organize knowledge of Indian Government portal. IndiGov-O, the ontology of Indian Government is a 4-level hierarchy in which various ministries of India, their respective departments and further functions and schemes have been conceptualized. The idea is to envision \"digital governance\" by virtue of social web adoption to a government model based on knowledge.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125499546","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
Robust tendering implementation using selective frame attack resistant video steganography 使用选择性帧攻击抗视频隐写的鲁棒招标实现
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975389
Shikha Sharma, D. Somwanshi, V. Sharma
{"title":"Robust tendering implementation using selective frame attack resistant video steganography","authors":"Shikha Sharma, D. Somwanshi, V. Sharma","doi":"10.1109/IICIP.2016.7975389","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975389","url":null,"abstract":"E tendering is a way to publish and bid for a tender online that is so secured that it has reduced the corruption as no one will be aware of the actual facts and figures that other parties must have quoted and uploaded on the network. The tendering process cannot be completed without proper sealing of the quotation envelope. In E-tendering this is done through cyclic redundancy check of the video frames, the CRC process is very time consuming and mathematically complex. Here proposed method for E-tendering is secured with attack resistant data hiding method. We planned to implement the use of multilevel cryptography and Steganography in E tendering. In this method biding amount hide from third party through multilevel process. Amount is embedded into frequency domain of logo image. Three level DWT is also used to increase the level data security. In this if someone tampers with video having secret information, it is still readable due to secret extraction using attack resistant embedding.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125596450","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
Improved ANN-based algorithm for detection and classification of faults on transmission lines 基于改进神经网络的输电线路故障检测与分类算法
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975360
Farhana Fayaz, Abubakar Isa, H. Verma, Soma Deb
{"title":"Improved ANN-based algorithm for detection and classification of faults on transmission lines","authors":"Farhana Fayaz, Abubakar Isa, H. Verma, Soma Deb","doi":"10.1109/IICIP.2016.7975360","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975360","url":null,"abstract":"This paper presents a relaying algorithm based on Artificial Neural Network (ANN) technique for the protection of transmission line. A feed forward ANN with six inputs and eleven outputs has been developed for the detection and classification of faults. Data was generated by simulating a 400 kV, 50Hz, 100 km transmission line in PSCAD/EMTDC at a sampling frequency of 2 kHz. Three ANN configurations with different combinations of inputs have been attempted. Initially all the three ANN configurations were trained and tested using truncated data for their comparative performance. ANN-2 configuration has been found to be the best one and has an accuracy of 100% for fault detection and classification in both training and testing phases with the relay operating time of 12.5 ms. ANN-2 has been further trained and tested using full data. Two-fold cross verification was carried out. An accuracy of 100% was obtained on testing with 12.5 ms delay each time.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117037223","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
Smart monitoring and controlling of wind farms based on WSN 基于无线传感器网络的风电场智能监控
2016 1st India International Conference on Information Processing (IICIP) Pub Date : 2016-08-01 DOI: 10.1109/IICIP.2016.7975359
P. S. Jagtap, Aivind P. Hatkar
{"title":"Smart monitoring and controlling of wind farms based on WSN","authors":"P. S. Jagtap, Aivind P. Hatkar","doi":"10.1109/IICIP.2016.7975359","DOIUrl":"https://doi.org/10.1109/IICIP.2016.7975359","url":null,"abstract":"As we know that energy is important part of our life. Energy available in different form like heat energy, solar energy, wind energy, etc. In our day to day life importance of alternative and renewable energy source increases year by year because of limited availability of non-renewable energy source. Hence it is necessary to take preventive action and increase the use of renewable energy source. Renewable energy source includes mainly solar energy, wind energy, vermin-composing, etc. For that purpose we address the issue related to renew-able energy source like windmills. In this paper we present maintenance related to wind farms which consist of number of windmills using wireless technique. We used reasonable and elastic wireless sensors networks can be installed within a large structure to evaluate the response and performing monitoring algorithms. In this paper, wireless sensors are located on a wind mill which is located in wind farm to monitor the structures to present models of wind turbine.","PeriodicalId":220344,"journal":{"name":"2016 1st India International Conference on Information Processing (IICIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237392","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
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