2019 International Conference on Emerging Trends in Science and Engineering (ICESE)最新文献_第2页

Cluster Matching for Discrete Data with Multiple Domains without Alignment of Information 信息不对齐的多域离散数据聚类匹配

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194632

Sunil Bollam, J. Kandi

{"title":"Cluster Matching for Discrete Data with Multiple Domains without Alignment of Information","authors":"Sunil Bollam, J. Kandi","doi":"10.1109/ICESE46178.2019.9194632","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194632","url":null,"abstract":"Outsourcing statistics toward a third party managerial manipulate, when be accomplished within cloud computing, offers increase to protection uncertainties. The facts cooperation may additionally arise because of assaults by way of additional user along with nodes inside the cloud. Consequently, excessive safety procedures be requisite to defend records in the cloud. Nevertheless, engaged safety method should as well recall the optimization of the facts recovery moment in time. Within this term paper, we endorse Division along with Replication of Data inside the Cloud for Optimal Performance along with Security so as to together strategies the safety as well as overall performance issue. In this planned method, we separate a report keen on fragments, in addition to duplicate the split facts in excess of the cloud nodes. every of the nodes stores simplest a single fragment of a exacting facts report that guarantees with the intention of level during case of a success assault, no significant statistics is discovered in the direction of the attacker. Furthermore, the nodes store the fragments, be divided among positive space through way of graph T-coloring toward limit an assailant of guess the places of the fragments. In addition, the planned method does no longer depend on the conventional cryptographic techniques for the statistics safety; thus relieve the structure of computationally exclusive methods. We demonstrate with the intention of the possibility to find in addition to cooperation every the nodes store the fragments of a single document is very low down. We additionally evaluate the presentation of the planned method with ten different frameworks. The better stages of safety with mild overall presentation in the clouds become discovered.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121809926","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

Optimal Energy Resources and Sub-Carrier Allocation for OFDMA Based Dynamic Cognitive Radio 基于OFDMA动态认知无线电的能量资源优化与子载波分配

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194683

M.Ajay Kumar, R. N, Anupama Deshpande

引用次数: 1

Vehicle Detection and Classification using Image processing 基于图像处理的车辆检测与分类

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194678

R. Chandrika, N. Ganesh, A. Mummoorthy, K. Raghunath

{"title":"Vehicle Detection and Classification using Image processing","authors":"R. Chandrika, N. Ganesh, A. Mummoorthy, K. Raghunath","doi":"10.1109/ICESE46178.2019.9194678","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194678","url":null,"abstract":"The number of vehicles has increased tremendously over the past decade. There are over 1 billion active vehicles all over the world and 60 to 70 million vehicles in India. Managing such traffic moments, providing sufficient parking lots is not an easy task. Vehicle counting and classification on busy streets will help the authorities to obtain traffic flow statistics and help them to understand and study the traffic patterns so that the can manage traffic in the most efficient way. The paper presents a way to detect, count and classify vehicles using image processing techniques. Although there has been a significant amount of research related to this, there is always a scope of improvement. The task of vehicle detection and counting is broken down into six steps: 1) Image Acquisition, 2) Image Analysis, 3) Object detection, 4) Counting, 5) Classification, 6) Display result. The algorithms which will be used to perform these tasks will includes vehicle detection and counting algorithm and road marking detection algorithm. This can also be used to monitor high ways, detect accidents, unrighteous stoppage of vehicles on roads, the traffic rules violators. Classification of vehicles will be done in one of the following categories: a) Bicycles and motorcycles, b) motor cars, c) minibus and pickup vans, d) buses trailers, trucks. This data will help to figure out the priority and maximum users of a road and design traffic patterns that will be beneficial to maximum.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"6 21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128166744","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: 6

Fault Resistant 8-Bit Vedic Multiplier Using Repairable Logic 使用可修复逻辑的抗故障8位吠陀乘法器

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194675

B. S. Krishna, P. Lakshmi, Sarada Musala

引用次数: 2

Smart Irrigation System With Data Visualization 具有数据可视化的智能灌溉系统

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194673

Sudharshan Kumar Bhowmick, Shraddha Padhiari, Shubhendu Apoorv, E. Annadevi

引用次数: 0

Smart Campus by using IOT 利用物联网打造智慧校园

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194684

P. Shashank, A. Gr, G. Nageshwar, E. Sagar

{"title":"Smart Campus by using IOT","authors":"P. Shashank, A. Gr, G. Nageshwar, E. Sagar","doi":"10.1109/ICESE46178.2019.9194684","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194684","url":null,"abstract":"By far most of the precipitation estimate models use ecological atmosphere data, which are somewhat difficult to access by typical water resources executives. On the other hand, data driven techniques are discovering increasingly broad application in envisioning various hydrological factors. The data driven system predicts the future variable better if there is a particularly described model with or without noise in the instructive list. To improve the general guaging precision for transitory precipitation, this paper proposes a novel course of action called Dynamic Regional Combined transient precipitation Forecasting approach (DRCF) using Multi-layer Perception (MLP). In any case, Principal Component Analysis (PCA) is used to diminish the component of thirteen physical factors, which fills in as the commitment of MLP. Second, a greedy estimation is associated with choose the structure of MLP. The incorporating goals are seen subject to the guaging site. Finally, to fathom the chaos impediment which is realized by the increase of the acknowledgment expand, DRCF is improved with a couple of extraordinary procedures. Examinations are driven on data from 56 genuine meteorology districts in China, and we differentiate DRCF and barometrical models and other AI approaches. The test outcomes show that DRCF defeats existing approachs in both hazard score (TS) and root mean square goof (RMSE).","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121536182","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

Detecting Spam Tweets Using Lightweight Detectors on Real-Time Basis and Update the Models Periodically in Batch Mode 利用轻量级检测器实时检测垃圾推文，并以批处理方式定期更新模型

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194614

K. Reddy, R. Reddy, P. V. Reddy

{"title":"Detecting Spam Tweets Using Lightweight Detectors on Real-Time Basis and Update the Models Periodically in Batch Mode","authors":"K. Reddy, R. Reddy, P. V. Reddy","doi":"10.1109/ICESE46178.2019.9194614","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194614","url":null,"abstract":"the majority of accessible technique for spam detection on Twitter purpose to recognize and block user who put up spam tweet. Here this document, we suggest a semi-supervised spam detection structure for spam discovery at tweet-stage. Planned structure contains of two essential modules: spam discovery module working in concurrent mode and method update module working in batch mode. The spam detection module consists of 4 frivolous detectors: 1) blacklisted area detector to label tweets include blacklisted URLs; 2) close to-reproduction detector to label tweets which can be close to-duplicates of expectantly relabeled tweets; 3) dependable ham detector in the direction of label tweets which are published by means of trusted customers and that do not incorporate spammy words; and 4) multiclassifier primarily based totally detector labels the closing tweets. The data needful thru the detection detail is up to date in batch mode primarily based on the tweets which can be categorized inside the preceding moment in time windowpane. Experiment on top of a massive-scale records set display that the method adaptively learn styles of recent spam actions and hold appropriate accuracy for spam detection in a tweet torrent.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127757759","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

Spark Streaming for Predictive Business Intelligence 火花流预测商业智能

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194677

N. Ganesh, A. Mummoorthy, R. Chandrika, A. G R

引用次数: 0

Enhancement of MRI Brain Images with Histogram Equalization Techniques 用直方图均衡化技术增强MRI脑图像

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194629

Shaik Sohel Pasha, P. Babu, Z. Vakil

引用次数: 3

An Investigation on Image Conversions and Edge Detection Patterns in Image Processing 图像处理中图像转换与边缘检测模式的研究

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194692

G. Vishali, H. Meghana, M. A. Kumar, R. N

引用次数: 0