Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)最新文献_第7页

Fractal image compression with quadtree partitioning and a new fast classification strategy 基于四叉树分割的分形图像压缩及新的快速分类策略

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060153

U. Nandi, J. K. Mandal, S. Santra, Suman Nandi

引用次数: 11

Diagnosing heterogeneous dynamics for wind particle trajectory in wavelet domain 小波域风粒子轨迹非均质动力学诊断

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060135

S. Mukhopadhyay, Ritwik Barman, S. Dey, A. Mitra, P. Panigrahi, P. Bhattacharya, K. K. Dhar

引用次数: 3

An approach to assess the optimality of refining RC4 一种评价RC4精炼最优性的方法

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060139

Suman Das, H. Dey, R. Ghosh

引用次数: 1

A novel rules optimizer with feature selection using rough-entropy-coverage partitioning based reduci 基于粗糙熵覆盖划分约简的特征选择规则优化器

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060193

Tapan Chowdhury, S. Setua, Susanta Chakraborty

引用次数: 2

Computational complexity analysis of PTS technique under graphics processing unit 图形处理单元下PTS技术的计算复杂度分析

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060162

S. Yadav, P. Pradhan, Sarat Kumar Parra

引用次数: 1

A two-stage style detection approach for printed Roman script words 印刷罗马文字的两阶段风格检测方法

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060110

P. Singh, Shantanu Jana, R. Sarkar, N. Das, M. Nasipuri

{"title":"A two-stage style detection approach for printed Roman script words","authors":"P. Singh, Shantanu Jana, R. Sarkar, N. Das, M. Nasipuri","doi":"10.1109/C3IT.2015.7060110","DOIUrl":"https://doi.org/10.1109/C3IT.2015.7060110","url":null,"abstract":"Development of Optical Character Recognition (OCR) for printed Roman script is still an active area of research. Automatic Style Identification (ASI) can be used to improve the performance of OCR system and keyword spotting techniques for printed Roman script. This paper proposes a two stage font invariant technique for detection of italic, bold, underlined, normal and all capital styled words for printed Roman script. In the first stage, the technique separates the underlined words from non-underlined words. In the second stage, a 25-element feature set has been extracted from the non-underlined words to identify the other said styled words which are evaluated using multiple classifiers. The technique has been tested on 2100 words printed in five well-known fonts namely, Arial, Cambria, Calibri, Gill Sans, and Times New Roman in which each of the font contributes exactly about 420 words. Based on the identification accuracies of multiple classifiers, Multi Layer Perceptron (MLP) classifier has been chosen as the final classifier which was tested comprehensively using different folds and with different number of epochs. Overall accuracy of the system is found to be 98.25% using 3-fold cross validation scheme.","PeriodicalId":402311,"journal":{"name":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","volume":"149 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130862021","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

Fuzzy VQ based image compression by bacterial foraging optimization algorithm with varying population 基于变种群细菌觅食优化算法的模糊VQ图像压缩

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060121

Nandita Sanyal, A. Chatterjee, S. Munshi

引用次数: 3

Stability aspects of single electron threshold logic based 4 bit carry look ahead adder 基于4位进位前置加法器的单电子阈值逻辑稳定性分析

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060138

Arpita Ghosh, A. Jain, N. Singh, S. Sarkar

引用次数: 9

Architecture and secure implementation for video conferencing technique 视频会议技术的体系结构和安全实现

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060168

Manoj K. Mishra, S. Mukhopadhyay, G. P. Biswas

引用次数: 2

SCARS: A scalable context-aware recommendation system scar:一个可扩展的上下文感知推荐系统

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060210

Suman Datta, Joy deep Das, Prosenjit Gupta, S. Majumder

{"title":"SCARS: A scalable context-aware recommendation system","authors":"Suman Datta, Joy deep Das, Prosenjit Gupta, S. Majumder","doi":"10.1109/C3IT.2015.7060210","DOIUrl":"https://doi.org/10.1109/C3IT.2015.7060210","url":null,"abstract":"Recommender Systems (RS) are used to provide personalized suggestions for information, products and services that are not already used or experienced by a user, but are very likely to be preferred by him/her. Most of the existing RS employ variations of Collaborative Filtering (CF) for suggesting items relevant to users' interests. However, CF requires similarity computations that grows polynomially with the number of users and items in the database. In order to handle this scalability problem and speeding up the recommendation process, we propose a clustering based recommendation method. The proposed work utilizes the different user attributes such as age, gender, occupation, etc. as contextual features and then partitions the users' space on the basis of these attributes. We divide the entire users' space into smaller clusters based on the context, and then apply the recommendation algorithm separately to the clusters. This helps us to reduce the running time of the algorithm as we avoid computations over the entire data. In this work, we present a scalable CF framework that extends the traditional CF algorithms by incorporating users context into the recommendation process. While recommending to a target user in a specific cluster, our approach uses the ratings of the target user as well as the rating history of the other users in that cluster. One of the main objectives of our work is to reduce the running time without compromising the recommendation quality much. This ensures scalability, allowing us to tackle bigger datasets using the same resources. We have tested our algorithm on the MovieLens dataset, however, our recommendation approach is perfectly generalized. Experiments conducted indicate that our method is quite effective in reducing the running time.","PeriodicalId":402311,"journal":{"name":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126552763","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