2016 International Conference on Information Technology (ICIT)最新文献_第5页

Implementation of OFDM and Pulsed-OFDM OFDM和脉冲OFDM的实现

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.033

K. B. Singh, Sheikh Wasmir Hussain, T. V. Mahendra, C. V. R. Rao

引用次数: 1

Forecasting HPC Workload Using ARMA Models and SSA 用ARMA模型和SSA预测HPC工作负荷

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.065

Anoop S. Kumar, Somnath Mazumdar

{"title":"Forecasting HPC Workload Using ARMA Models and SSA","authors":"Anoop S. Kumar, Somnath Mazumdar","doi":"10.1109/ICIT.2016.065","DOIUrl":"https://doi.org/10.1109/ICIT.2016.065","url":null,"abstract":"In high-performance computing (HPC) platform, resource usage pattern changes over time which makes the resource monitoring a challenge. Maintaining the performance goals within a good power range is very critical where servers suffer from under utilisation, failure or degraded hardware support. Better forecast of the workload can reduce the energy cost by predicting the future workload more accurately. Identifying the usage pattern is also vital for efficient capacity planning because prediction can also be augmented with an effective resource allocation strategy to manage resource distribution goals. However, a single prediction model does not fit for all. In this paper, we compare forecast performance of the state-of-the-art ARMA class (integrated ARMA (ARIMA), seasonal integrated ARMA (SARIMA) and fractionally integrated ARMA (ARFIMA)) with the singular spectrum analysis (SSA) method using CPU, RAM and Network traces collected from Wikimedia grid. We found that the most simple model of ARMA class (ARIMA) had outperformed other complex ARMA class models while forecasting the bursty pattern of Networks. ARIMA model provides the best forecast for the Network data while SSA is found to be the best method for CPU and RAM. We also show that with proper model fitting, we can achieve high forecasting precision as low as 0.00586% for RAM and maximum error around 5% for Network without having complete information about the underlying system hardware and the running applications type.","PeriodicalId":220153,"journal":{"name":"2016 International Conference on Information Technology (ICIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123589243","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: 21

Personalized Terms Derivative: Semi-supervised Word Root Finder 个性化术语衍生:半监督词根查找器

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.059

N. Kumar, Abhishek Pradhan

引用次数: 0

A Survey on Greedy Based Algorithms for Biclustering of Gene Expression Microarray Data 基于贪心的基因表达微阵列数据双聚类研究综述

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.036

Bhawani Sankar Biswal, P. Mishra, A. Mohapatra, Swati Vipsita

引用次数: 2

Load Balancing among Wide-Area SDN Controllers 广域SDN控制器负载均衡

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.032

Abhishek Singh, Mayank Tiwray, Raj Kumar, Rachita Misra

引用次数: 6

Brain Tumor Detection in Conventional MR Images Based on Statistical Texture and Morphological Features 基于统计纹理和形态学特征的常规MR图像脑肿瘤检测

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.037

Manu Gupta, B. V. V. S. N. Rao, Venkateswaran Rajagopalan

引用次数: 18

A Novel Approach for Concealing Image by Utilizing the Concept of Secret Sharing Scheme and Steganography 利用秘密共享方案和隐写术的概念实现图像隐藏的新方法

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.023

M. Rajput, Maroti Deshmukh, N. Nain

{"title":"A Novel Approach for Concealing Image by Utilizing the Concept of Secret Sharing Scheme and Steganography","authors":"M. Rajput, Maroti Deshmukh, N. Nain","doi":"10.1109/ICIT.2016.023","DOIUrl":"https://doi.org/10.1109/ICIT.2016.023","url":null,"abstract":"Data hiding is a process of concealing recognizable digital data into indiscernible form i.e. imperceptible to the human eye. Secret sharing with steganography is a hot topic of discussion. In this paper, we proposed a secure image hiding scheme to deceive attacker using the concept of steganography and secret sharing. As to recover secret image, we have to apply decryption technique at two levels. Decryption at first level is done on the concept of secret sharing scheme. At first level, n+1 shared image are generated by using n cover images and a secret image. By performing operations on these n+1 shared images, we get n recovered images and one stego image, this process is homologousto classic secret sharing scheme. As the method is alike to secret sharing scheme, it deceives attacker and leads him to fall into our trap. He can consider that n recover images to be output and follow his lead, which will end in the wrong direction. But to recover the secret image, the output data from level one have to undergo through level two. In level two, we used the concept of steganography. The input to the second step is n recovered cover images and one stego image. The experimental result shows the proposed scheme is highly secured at both the levels, altering with any n shares will not reveal any partial information. For checking the effectiveness of proposed scheme, Correlation, MSE and PSNR techniques are used. The proposed scheme efficiently works for grayscale and coloured images.","PeriodicalId":220153,"journal":{"name":"2016 International Conference on Information Technology (ICIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276543","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

Redundant Data Minimization Using Minimal Mean Distant Scalar Leader Selection for Event Driven Camera Actuation 基于最小平均距离标量前导选择的事件驱动相机驱动冗余数据最小化

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.040

S. Priyadarshini, S. Panigrahi

引用次数: 4

Link Changes with Change in Demand in Flow Distribution Networks 随着流量分配网络需求的变化而发生的联系变化

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.031

Vishal Gupta

引用次数: 0

Text Summarization Using Sentiment Analysis for DUC Data 基于情感分析的DUC数据文本摘要

2016 International Conference on Information Technology (ICIT) Pub Date : 2016-12-01 DOI: 10.1109/ICIT.2016.054

Nidhika Yadav, N. Chatterjee

引用次数: 28