Proceedings of the International Conference on Advances in Information Communication Technology & Computing最新文献_第5页

No load Robustness Analysis of AI Based Controllers & Estimators for SRM Drive 基于AI的SRM驱动控制器和估计器的无载鲁棒性分析

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979888

S. Bishnoi, R. Kumar, R. A. Gupta

引用次数: 0

Attribute Analysis using Fuzzy Association Rules and Interestingness Measures 基于模糊关联规则和兴趣度度量的属性分析

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979867

Swati R. Ramdasi, S. Shirwaikar, V. Kharat

引用次数: 0

Overcome the Interference between Si rods based Add Drop Filter using Two-dimensional PCRR 利用二维PCRR克服硅棒间的干扰

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979893

P. Inaniya, Ekta Kumari, M. Kuri

引用次数: 0

DCCSR: Document Clustering by Conceptual and Semantic Relevance as Factors of Unsupervised Learning 基于概念和语义关联的无监督学习文档聚类

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979822

A. Rao, S. Ramakrishna

{"title":"DCCSR: Document Clustering by Conceptual and Semantic Relevance as Factors of Unsupervised Learning","authors":"A. Rao, S. Ramakrishna","doi":"10.1145/2979779.2979822","DOIUrl":"https://doi.org/10.1145/2979779.2979822","url":null,"abstract":"Unsupervised learning of text documents is an essential and significant process of knowledge discovery and data mining. The concept, context and semantic relevancy are the important and exclusive factors in text mining, where as in the case of unsupervised learning of record structured data, these factors are not in scope. The current majority of benchmarking document clustering models is keen and relies on term frequency, and all these models are not considering the concept, context and semantic relations during document clustering. In regard to this, our earlier work introduced a novel document clustering approach that named as Document Clustering by Conceptual Relevance (DCCR), which is aimed at concept relevancy. With the lessons learned from the empirical study of the DCCR, here we presented a novel document clustering approach, which is based on concept and semantic relevancy of the documents. The significant contribution of this proposal is feature formation by concept and semantic relevance. An unsupervised learning approach that estimates similarity between any two documents by concept and semantic relevance score is proposed. This novel method represents the concept as correlation between arguments and activities in given documents, and the semantic relevance is assessed by estimating the similarity between documents through the hyponyms of the arguments. The experiments was conducted to assess the significance of the proposed model and in regard to this, the benchmark datasets were used.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131008678","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

A Modified RSA Approach for Encrypting and Decrypting Text and Images Using Multi- Power, Multi Public Keys, Multi Prime Numbers and K-nearest Neighbor Algorithm 基于多幂、多公钥、多素数和k近邻算法的文本和图像加解密改进RSA方法

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979833

Shikha Mathur, Deepika Gupta

{"title":"A Modified RSA Approach for Encrypting and Decrypting Text and Images Using Multi- Power, Multi Public Keys, Multi Prime Numbers and K-nearest Neighbor Algorithm","authors":"Shikha Mathur, Deepika Gupta","doi":"10.1145/2979779.2979833","DOIUrl":"https://doi.org/10.1145/2979779.2979833","url":null,"abstract":"One of public key algorithm is RSA cryptosystem used for encryption and decryption. This paper suggest a new algorithm by presenting the modified form of RSA algorithm in order to increase security of data during data exchange over the network. In our proposed algorithm it includes exponential form of rsa with four prime numbers and multiple (i.e. two) public keys and k-nearest neighbor algorithm. In exponential RSA we use exponential form of rsa which is based factorization problem, and at same time we are using four prime number instead of two prime numbers, and multiple public keys, to provide more security over the network and 'n' prime numbers are not easily factorable and increased the efficiency. Simultaneously, I have included k-nearest neighbor algorithm. Sometimes there is a situation in which the cipher text is the same as the plaintext and in such cases attacker can easily encrypt original message. We can also apply our algorithm for special characters like @, #. $, %, &, *. Proposed algorithm also implemented on images. And in future we will apply our algorithm on audio and video encryption and decryption also. Finally we compare proposed RSA with the original RSA algorithm.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176722","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

Systematic Mapping Study of Metrics based Clone Detection Techniques 基于度量的克隆检测技术系统映射研究

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979855

D. Rattan, J. Kaur

引用次数: 8

HTTP Flood Attack Detection using Ontology 基于本体的HTTP Flood攻击检测

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979794

D. Kshirsagar, Sandeep Kumar

引用次数: 6

Techno-innovative solution in the form of neural expert system to address the problem of high attrition rate 以神经专家系统的形式提出技术创新解决方案，解决高流失率问题

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979890

Viral Nagori

引用次数: 1

SDN Control Plane Security in Cloud Computing Against DDoS Attack 云计算中的SDN控制平面安全防范DDoS攻击

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979843

Yadav Ashok Khimabhai, Vandana Milind Rohokale

引用次数: 10

Hidden Markov Model Implementation for Prediction of Stock Prices with TF-IDF features 利用TF-IDF特征预测股票价格的隐马尔可夫模型实现

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI: 10.1145/2979779.2979788

V. Ingle, S. Deshmukh

引用次数: 12