2018 International Conference on Advanced Computation and Telecommunication (ICACAT)最新文献_第10页

Mining on Relationships in Big Data era using Improve Apriori Algorithm with MapReduce Approach 基于MapReduce改进Apriori算法的大数据时代关系挖掘

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933674

K. Pandey, D. Shukla

{"title":"Mining on Relationships in Big Data era using Improve Apriori Algorithm with MapReduce Approach","authors":"K. Pandey, D. Shukla","doi":"10.1109/ICACAT.2018.8933674","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933674","url":null,"abstract":"The current time technology is growing very faster and data is generating very fast so data characteristics have changed in form of data to big data. If anybody wants to mine some related data in big data environment then present data mining algorithm fails to mine relationship in big data and it takes a lot of time for processing. MapReduce approach is a most efficient algorithm in big data framework which handles a huge amount of data and gives fast result. The Apriori algorithm is more powerful algorithm for mining on interesting relationships between dataset in any type of databases or same databases. In present time a lot of MapReduce base Apriori algorithms are available but its Map and Reduce function run to multiple times and works only for the transaction database. This paper describes what is big data with its characteristics, concept of Association rules with the Apriori algorithm in big data, problems in the existing MapReduce base Apriori algorithm. We propose new improve MapReduce approach base Apriori algorithm for mining on a relationship with the help of given one suitable example where Reduce function runs only one time after running on Map function and this proposed algorithm run on any type of database.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"59 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84484259","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

A Novel Secure Data Aggregation in IoT using Particle Swarm Optimization Algorithm 一种基于粒子群优化算法的物联网安全数据聚合方法

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933784

Neeraj Chandnani, C. N. Khairnar

{"title":"A Novel Secure Data Aggregation in IoT using Particle Swarm Optimization Algorithm","authors":"Neeraj Chandnani, C. N. Khairnar","doi":"10.1109/ICACAT.2018.8933784","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933784","url":null,"abstract":"Internet of Things (IoT) is a network paradigm in which data aggregation and data security plays a vital role. Data aggregation in IoT describes collection of information from different users and data security means encryption of collected data using cryptography method. The proposed work comprises of devices and gateway to perform data aggregation and data encryption. Data aggregation is performed using clustering in which data are clustered and secured by Particle Swarm Optimization (PSO) algorithm which finds the cluster head. After finding cluster head, nodes requests to join as cluster member. PSO computes fitness function using metrics i.e. energy, end-to-end delay, scoring factor, packet drops and successful packet transformation. After completion of clustering process, data encryption process is held in which, cluster head collects data from the cluster members and encrypts it using Elliptic Curve Cryptography (ECC) method. Finally, encrypted data are dispatched to gateway device. Experimental result shows, the proposed work on Secure Particle Swarm Optimization (SPSO)prompts better performance in following metrics i.e. delay, throughput and energy consumption.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"112 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":"86758220","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: 5

A Markov-Chain Model Based Study of Distributed Weighted Round-Robin Scheduling for Data Centers 基于马尔可夫链模型的数据中心分布式加权轮循调度研究

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933588

Shweta Jain, Saurabh Jain

引用次数: 0

Advance Malware Analysis Using Static and Dynamic Methodology 使用静态和动态方法的高级恶意软件分析

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933769

Saurabh

{"title":"Advance Malware Analysis Using Static and Dynamic Methodology","authors":"Saurabh","doi":"10.1109/ICACAT.2018.8933769","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933769","url":null,"abstract":"As we are becoming more and more dependent on computers the attack vectors on them are increasing day by day. The cyberspace is becoming the battlefield of the 21st century as we are witnessing the increasing potential of a cyber-attack on the critical infrastructure. Malware are the most sophisticated evil code It is designed to damage computer systems without the knowledge of the owner these days malware are made up with special arbitrary to evade detection from the antivirus [1] with a huge potential to damage computer systems. Malware analysis is a process for studying the components and the behavior of malware. For analyzing malware we will use two types of methods static analysis and the dynamic analysis. In the static analysis the malware are examined without running it, whereas in dynamic analysis the malware is analyzed while running it in a virtual and controlled environment. In this research we are going to focus on malware analysis using the static and the dynamic method which will help us to access damage, to know the indicators of compromise and to determine the sophistication level of an intruder and to catch the creator of the malware.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"44 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74076110","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: 5

An Enhanced Differential Evolution through Memory Based Mechanism 基于记忆机制的增强差分进化

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933676

Raghav Prasad Parouha

引用次数: 0

A Modified Wideband Bow-Tie Antenna with DGS for Wireless Fidelity Range 用于无线保真范围的改进型DGS宽带蝴蝶结天线

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933583

E. Choudhary, S. Sharma, Pranay Yadav

{"title":"A Modified Wideband Bow-Tie Antenna with DGS for Wireless Fidelity Range","authors":"E. Choudhary, S. Sharma, Pranay Yadav","doi":"10.1109/ICACAT.2018.8933583","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933583","url":null,"abstract":"In this research work design a modified wideband bow-tie antenna for Wi-Fi ranges. Now a day’s demand of wireless device increases in rapidly due to require a wide range application antenna. Wide band antennas are those antennas full fill the demand of current generation communication devices. In this presented research work design a bow-tie antenna for 1 to 6 GHz frequency range. In this current generation most of the wireless devices exist in this range. This research work shows Bow-Tie Shape antenna with bow shape slot. In slotted Bow-Tie antenna on patch side, and apply defected ground structure on the ground side. On the ground side apply two right angle cuts with parabolic cut on the ground side. For the enhancement of bandwidth apply CPW feed in the structure and obtain enhanced bandwidth as well as return loss. The proposed bow-tie antenna shows result in the range of 3.0 GHz to 4.87 GHz range and the total bandwidth obtain 1.86 GHz. In this region got two impedance frequency on 3.47 GHz and 4.41 GHz with return loss is -32.45 dB and -34.45 dB. Designed antenna is shows wide band (WB) nature also shows dual band nature. The result of proposed design show good return loss as well as VSWR.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"53 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75955105","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

Dark Channel Prior and Global Contrast Stretching based Hybrid Defogging Image Technique 基于暗通道先验和全局对比度拉伸的混合图像去雾技术

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933729

V. Trivedi, P. Shukla, H. Gupta

引用次数: 1

Puzzling Out Emotions: A Deep-Learning Approach to Multimodal Sentiment Analysis 困惑情绪:多模态情感分析的深度学习方法

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933684

V. Shrivastava, Vivek Richhariya, Vineet Richhariya

{"title":"Puzzling Out Emotions: A Deep-Learning Approach to Multimodal Sentiment Analysis","authors":"V. Shrivastava, Vivek Richhariya, Vineet Richhariya","doi":"10.1109/ICACAT.2018.8933684","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933684","url":null,"abstract":"Emotions steer both active and passive semantics of human interactions. Precise analysis of these emotions is indispensable to ensure a meaningful communication. Humans, in general, express their emotions in various forms. In order to encompass multiple dimensions of these expressions, this paper proposes a triple-layer (facial, verbal, and vocal) sentiment analysis system based on an application of deep-learning concepts. As such, in our experiment, first we separately examined facial expressions, verbal sentiments and vocal characteristics of a speaker and then mapped the individual results to perform a complete multimodal sentiment analysis. As a part of our two-stage facial expression analysis algorithm, we trained three multi-layer perceptrons using backpropagation technique to recognize a number of action units in human faces and seven single layer perceptrons each to identify one of seven basic human emotions (happiness, sadness, surprise, anger, fear, contempt or disgust, and neutral) expressed by the action units. In our vocal analysis module, we extracted important features (such as, jittering, shimmering, etc.) from sampled audio signals using standard formulae and used those features in a Bayesian Classifier to determine the type of sentiment (positive, negative, or neutral) in the voice. In the final segment of our experiment, we trained seven one dimensional convolutional neural networks to analyze verbal sentiments using the results of vocal analysis module as a bias. We were able to obtain results with as high as 91.80% (training) and 88% (testing) accuracies in our vocal and verbal analysis module; whereas, our facial expression analysis module provided results with 93.71% (training) and 92% (testing) accuracies.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"137 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":"86771978","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

Profit Maximization for SaaS Provider using Improved Strategy for Resource Allocation in Cloud Computing Environment 云计算环境下基于改进资源分配策略的SaaS提供商利润最大化

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933652

Nikky Ahuja, P. Kanungo, S. Katiyal

{"title":"Profit Maximization for SaaS Provider using Improved Strategy for Resource Allocation in Cloud Computing Environment","authors":"Nikky Ahuja, P. Kanungo, S. Katiyal","doi":"10.1109/ICACAT.2018.8933652","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933652","url":null,"abstract":"In the present era of cut-throat competition, IT tools and services provided by cloud computing environment plays an important role in the success of any business organization. These services are offered by the SaaS providers, who act as a bridge between organizations and the available resources. These providers focus on the optimum utilization of available resources without violating the quality constraints and maximization of profit for gaining competitive advantage. The present research is an effort to maximize the profit of SaaS providers by devising an algorithm to overcome the limitation of present system. Renting of resources in heterogeneous environment has been suggested as a way to improve earnings. Also, dynamic scheduling and re-scheduling of available resources has been used to improve utilization of available resources. Aim is to control cost and gain customer loyalty. Thus, the objectives of the research are: 1) to design a knowledge-based algorithm for optimal allocation of resources; 2) to design an algorithm for scheduling of resources to maximize profit and control cost and 3) to propose a system model to earn maximum customer satisfaction.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"6 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":"78523626","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 Content Based Image Retrieval using Statistical Soft Computing and Texture Features 基于统计软计算和纹理特征的高效图像检索

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933696

Mranali Yadav, Manish Rai, Mohit Gangwar

{"title":"An Efficient Content Based Image Retrieval using Statistical Soft Computing and Texture Features","authors":"Mranali Yadav, Manish Rai, Mohit Gangwar","doi":"10.1109/ICACAT.2018.8933696","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933696","url":null,"abstract":"With the invent of low cost cameras the uses of imaging data has exponentially increased in last two decades. Due to availability of huge data on web, demand of efficient image retrieval techniques have also increased. Many feature based local and global methods have been designed in past but they were either too complex or only case specific. In this paper a simple and efficient statistical soft computing and texture based content based retrieval system is proposed and designed. The method is designed to match the quarry and template images based on histogram and their statistical properties as statistical absolute mean difference and 2D normalized correlation of texture images. Method first resizes the quarry and template image to same size and then calculates the statistical parameters in RGB domain and compares the same. In addition Local binary pattern (LBP) is calculated for comparing the local texture feature of the quarry and template images. The performance of our proposed method is tested and evaluated using the standard large image-vary dataset of color images.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"75 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79495514","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