2018 International Conference on Advanced Computation and Telecommunication (ICACAT)最新文献_第8页

Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing 基和感知矩阵是影响压缩感知的关键参数

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933745

Vivek Upadhyaya, M. Salim

{"title":"Basis & Sensing Matrix as key effecting Parameters for Compressive Sensing","authors":"Vivek Upadhyaya, M. Salim","doi":"10.1109/ICACAT.2018.8933745","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933745","url":null,"abstract":"Compressive Sensing (CS) is a new approach for compression and reconstruction of compressed signals using very minute observations. These minute observations are also called the number of measurement. The basic benefits of CS are that the number of measurements which are required for proper reconstruction of the compressed signal is very less than the conventional method. If we go through the literature then, we get that for proper reconstruction of signal a theory is given by Shannon. This theory states that the sampling frequency must be higher than twice the highest frequency component in that signal. So the limitation of the conventional method is that it requires so much storage to store and a large bandwidth to transmit the data. So researchers came with a new idea which is termed as Compressive Sensing. Key effecting parameters which are very crucial for the compressive sensing is the Basis and Sensing matrix. The basic fact behind this approach is that the signal which is used for the compression and reconstruction must be Sparse. In the analysis which is done by us in this paper is that the change in these two matrices directly changes the value of SNR which will be obtained after compression and reconstruction using the compressive sensing. The work which is carried out based on three kinds of music signals with different cases of Basis and Sensing matrices.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74146905","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: 2

Performance comparison of hard and soft fusion Techniques for Energy Efficient CSS in Cognitive Radio 认知无线电节能CSS硬、软融合技术性能比较

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933672

Girraj Sharma, Ritu Sharma

引用次数: 7

Performance Estimation of Amorphouss-IGZO Based Thin Film Transistor 非晶igzo薄膜晶体管的性能评估

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933640

S. K. Dargar, V. Srivastava

引用次数: 0

An Ontology Development For University 面向大学的本体开发

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933803

Shubhi Shrivastava, Iti Mathur, Nisheeth Joshi

引用次数: 3

Effect of Sintering on Time Domain Response of CaTiO3 Nano Ceramics 烧结对CaTiO3纳米陶瓷时域响应的影响

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933532

Subhanarayan Sahoo

引用次数: 0

Bumble Bees Mating Optimization Algorithm for Economic Load Dispatch with Pollution 污染条件下经济负荷调度的大黄蜂交配优化算法

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933681

Nagendra Singh, Ritesh Tirole

引用次数: 1

Comparing Physiological Feature Selection Methods for Emotion Recognition 情绪识别的生理特征选择方法比较

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933599

K. Kaushal, Mahesh Pawar, Sachin Goyal, Ratish Agrawal

引用次数: 0

Cascaded Gradient Sequence for LTE System to Reduce Peak Power LTE系统的级联梯度序列降低峰值功率

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933602

Amit Shivhare, Manish Patidar, Ravi Kumar

引用次数: 0

Protecting Data Storage on Cloud to Enhance Security Level and Processing of the Data by using Hadoop 利用Hadoop保护云上的数据存储，提高数据的安全级别和处理能力

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933675

S. Saxena, A. Shrivastava, A. Saxena, M. Manoria

引用次数: 1

Feature Reduction and Selection Based Optimization for Hybrid Intrusion Detection System Using PGO followed by SVM 基于特征约简和选择的PGO - SVM混合入侵检测系统优化

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933651

S. Sagar, A. Shrivastava, Chetan Gupta

{"title":"Feature Reduction and Selection Based Optimization for Hybrid Intrusion Detection System Using PGO followed by SVM","authors":"S. Sagar, A. Shrivastava, Chetan Gupta","doi":"10.1109/ICACAT.2018.8933651","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933651","url":null,"abstract":"The requisition or insistence of internet (web) connectivity i.e. wireless network like WSN, MANET, cellular network, broadband increases day by day. So it is obvious that increase demand of connectivity increase the problem also i.e. safety and security. In this paper discusses the security issue or problem on connectivity network generally define as the network intrusion (malicious activity) finding system. This system has to be used for secure or protect the information data from any unwanted activities. In this paper presents the feature reduction and selection based on an optimization mechanism which followed by supervised learning classifier. This paper introduce the hybrid intrusion detection system using supervised classifier i.e. SVM followed by the optimization mechanism i.e. PGO. Every IDS system needs reduce feature data set attributes to perform efficiently and smoothly that has to be major issue for any NIDS. The hybrid optimization mechanism provide the optimal solution, plant growth optimization mechanism inspired the natural tree growth process, here make this an artificial plant growth process and apply for data set attributes and set similar condition. That optimization method provide the best fitness value for branches and leaf for an artificial plant, these branches or leaf fit for artificial plant growth or not. According to these fitness values data set attributes further classified into intruder class. In this paper present mechanism or system use NSL-KDD data set (i.e. basically intruder class attribute data sets contain DOS, PROBE, R2L and U2R intruder class) for evaluation and comparing the mechanism performance in term of accuracy and Kappa. This hybrid mechanism based on optimization decreased the false alarm rate of the system and enhance the performance.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"18 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78521854","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