2018 4th International Conference on Recent Advances in Information Technology (RAIT)最新文献_第8页

Analysis of feature selection techniques for denial of service (DoS) attacks 拒绝服务攻击的特征选择技术分析

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389000

Shubhangi Dongre, M. Chawla

引用次数: 11

Impact of different inertia weight functions on particle swarm optimization algorithm to resolve economic load dispatch problems 不同惯性权函数对粒子群优化算法解决经济负荷调度问题的影响

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389065

Nimish Kumar, N. Pal, Pankaj Kumar, A. Kumari

{"title":"Impact of different inertia weight functions on particle swarm optimization algorithm to resolve economic load dispatch problems","authors":"Nimish Kumar, N. Pal, Pankaj Kumar, A. Kumari","doi":"10.1109/RAIT.2018.8389065","DOIUrl":"https://doi.org/10.1109/RAIT.2018.8389065","url":null,"abstract":"Dispatching generation units plays a valuable role in the economic operation of the plant. The Economic Load Dispatch Problems (ELDPs) deal with such economic operation of the plant. The Particle swarm optimization (PSO) technique becomes much more popular than other to resolve ELDPs. To control explosion phenomenon, Inertia Weight (IW) is used in the PSO algorithm. The IW may be a positive constant or a time varying function. In this article six different IW namely constant, linearly decreasing, natural exponent strategy 1 and 2, random and simulated annealing are used in PSO algorithm to resolve ELDPs of IEEE 5, 14 and 30 bus systems. The best, worst, average and their standard deviation costs are calculated for 20 trial runs using MATLAB programming. The average numbers of iteration and average computational time have been also examined. The analysis of results shows that the use of simulated annealing IW for IEEE-5 bus system and the use of natural exponent IW strategy 2 for IEEE-14 bus system and IEEE-30 bus systems in PSO algorithm provide better result with less computational time.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"122 43","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826179","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: 4

Object of interest detection in video sequence using co-segmentation: A new era in video surveillance 基于共分割的视频序列兴趣目标检测:视频监控的新时代

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389022

Sanmoy Bandyopadhyay

{"title":"Object of interest detection in video sequence using co-segmentation: A new era in video surveillance","authors":"Sanmoy Bandyopadhyay","doi":"10.1109/RAIT.2018.8389022","DOIUrl":"https://doi.org/10.1109/RAIT.2018.8389022","url":null,"abstract":"In the field of video surveillance, one of the existing problems is the detection of object(s) in the video sequence. In this paper, detection of the particular object of interest in the video sequence with more accuracy has been focused. The main objective of this work is to detect the object which belongs to both query image and video sequence. The necessity of this work lies in the field of surveillance, main interest is in monitoring the activity of the pre-specified person or the pre-defined object. For this purpose co-segmentation based, common object detection technique has been implemented to detect the particular object of interest in the video sequence. The main goal of this paper is to establish a system to detect the query or the pre-defined object(s) in the video sequence. The work has been performed with a consideration that all the video frames containing the single object of interest (OI), which is to be detected. The effectiveness of the proposed work has been compared with the existing detection and tracking algorithms in the literature. Utility of the proposed system proves much effective and trustworthy, where lies the hope that the results will stand more accurate in detecting the pre-defined object of interest.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326444","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

Design of cognitive engine for cognitive radio network using MOGA 基于MOGA的认知无线网络认知引擎设计

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389072

Saranga Sarma, Manmohan Singh, R. Pamula

{"title":"Design of cognitive engine for cognitive radio network using MOGA","authors":"Saranga Sarma, Manmohan Singh, R. Pamula","doi":"10.1109/RAIT.2018.8389072","DOIUrl":"https://doi.org/10.1109/RAIT.2018.8389072","url":null,"abstract":"The cognitive radio is a remote specialized gadget equipped able to sensing the surroundings and making choices on the way to use them to be had radio assets to permit communications with a certain Quality of Service(QoS). The cognitive engine is intelligent system background of the cognitive radio is a mishmash of optimization algorithms, spectrum sensing, and learning to adapt and control the radio system from the physical layer stack and up to the communication stack. This report explores the use of genetic algorithm optimization technique used by cognitive radios to decide upon a set of operating transmission parameters subject to a set of environmental parameters. A set transmission and environment parameters are used to define four communication objectives. A fitness function is designed using the communication objectives, the evaluation of which decides the best set of transmission parameters for successful communication. The result of this work is an analysis of the dependency of the communication objectives on different operating parameters and the implementation of a cognitive engine via simulation in MATLAB that uses MOGA (Multi objective GA) to decide upon transmission parameters.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116683824","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

The optical conductivity and electron energy loss of graphene under different hydrostatic pressures using first-principles 用第一性原理研究了不同静水压力下石墨烯的光导率和电子能量损失

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389010

R. Santosh, V. Kumar

引用次数: 0

Binary Gabor pattern feature extraction technique for hardwood species classification 硬木树种分类的二元Gabor模式特征提取技术

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389066

Arvind R. Yadav, J. Kumar, R. S. Anand, M. Dewal, Sangeeta Gupta

引用次数: 2

A real time packet classification and allocation approach for C-RAN implementation in 5G network 5G网络中实现C-RAN的实时分组分类与分配方法

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389092

Byomakesh Mahapatra, Rahul Kumar, Shailesh Kumar, A. K. Turuk

{"title":"A real time packet classification and allocation approach for C-RAN implementation in 5G network","authors":"Byomakesh Mahapatra, Rahul Kumar, Shailesh Kumar, A. K. Turuk","doi":"10.1109/RAIT.2018.8389092","DOIUrl":"https://doi.org/10.1109/RAIT.2018.8389092","url":null,"abstract":"Cloud-RAN (C-RAN) is a centralized architecture which is able to solve most of the challenges of mobile operators and to fulfill the needs of ever-growing end-users in the fifth generation (5G) cellular network. The main idea behind C-RAN is to split the functionalities of the traditional base stations (BS) into a radio unit known as Remote Radio Head (RRH) and a Centralized and virtualized Baseband Unit (BBUs). The Virtualization of BBU provides more scalability and flexibility to the BBU unit, along with that this also gives a number of benefits in terms of cost and capacity. There are many research articles published earlier which described the C-RAN network architecture briefly, but no one describes the actual packet flow and processing in the C-RAN network. In this paper, we try to solve this issue in two consecutive steps. The first step is to classify the incoming packets, and then allocate that packet based on the destination address to the proper virtual baseband unit (VB). Then the second step is to schedule the packets based on the priority value and also provide the load balancing mechanism in VB if required.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122618707","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

Application of biogeography based optimization to locate critical slip surface in slope stability evaluation 基于生物地理学优化的临界滑面定位在边坡稳定性评价中的应用

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389070

Jayraj Singh, Amit Verma, H. Banka

引用次数: 3

An efficient use of ensemble methods to predict students academic performance 有效地使用集成方法来预测学生的学习成绩

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8389056

Pooja Kumari, P. Jain, R. Pamula

{"title":"An efficient use of ensemble methods to predict students academic performance","authors":"Pooja Kumari, P. Jain, R. Pamula","doi":"10.1109/RAIT.2018.8389056","DOIUrl":"https://doi.org/10.1109/RAIT.2018.8389056","url":null,"abstract":"Application of data mining techniques in an educational background can discover hidden knowledge and patterns that will support in decision-making processes for improving the educational system. In e-learning system or web-based education, student's behavioral(SB) features play an important role that will show the student's interactivity towards the e-learning system. The aim of this paper is to show the importance of SB features and for this task we have collected the educational dataset from learning management system (LMS). On the included dataset, feature analysis has been done and after that, we have used data preprocessing phase that is an important step in knowledge discovery process. On the preprocessed dataset, classification is performed on it by using classifiers namely; Decision Tree (ID3), Nave Bayes, K-Nearest Neighbor, Support vector machines to predict student's academic performance. The accuracy of the proposed model is achieved by using Ensemble Methods. We have used Bagging, Boosting, and Voting Algorithm that are the common ensemble methods. On using ensemble methods, we have got the better result that proves the reliability of the proposed model.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131095385","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: 43

Superpixel based roughness measure for cotton leaf diseases detection and classification 基于超像素粗糙度量的棉花叶片病害检测与分类

2018 4th International Conference on Recent Advances in Information Technology (RAIT) Pub Date : 2018-03-01 DOI: 10.1109/RAIT.2018.8388993

Yogita K. Dubey, M. Mushrif, Sonam Tiple

引用次数: 12