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

ICESE 2019: Sessions Details ICESE 2019:会议详情

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/icese46178.2019.9194609

引用次数: 0

Satellite Image processing Biomass Estimation 卫星图像处理生物量估算

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194688

A. Mummoorthy, R. Chandrika, N. Ganesh, E. Pavithra

{"title":"Satellite Image processing Biomass Estimation","authors":"A. Mummoorthy, R. Chandrika, N. Ganesh, E. Pavithra","doi":"10.1109/ICESE46178.2019.9194688","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194688","url":null,"abstract":"In this project our main aim is the estimation of biomass using satellite image processing techniques. Firstly, we need to identify our study area and gather the ground data. After that calculate the entropy values and estimate the biomass. Then take the Satellite Images from either the LandSat TM or EnviSat and pre-process the image. Accurate Geometric Preprocessing and Atmospheric calibration are two important aspects in image pre-processing. After the preprocessing has been done then process the image and develop the different biomass models, like the allometric equations, regression models, geostatistical models, Non-parametric models, etc. Any one of these techniques can be used. The Multiple Regression Analysis is the most often used approach. For the study area in our project we shall proceed with the Vellore area and use the remote sensing data for the same. Geometric Correction and Speckle reduction can be used to improve the image we have taken. Then we have the Enhanced ETM data and filtered ASAR. Then we visually interpret the given image and identify the possible locations of biomass content. Then the volumetric equations are identified using various models as described above. After this we can calculate the Stand Volume using the equations we have at hand. The final step involves the calculation of Mean Biomass. Once this is calculated the main aim of our project is fulfilled.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"8 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":"129569619","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

An Overview of Artificial Intelligence based Autonomous Vehicle Robotics Simulators 基于人工智能的自动驾驶汽车机器人模拟器综述

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194653

Trupti Kantale, Pooja Pawar, A. Bhagat

引用次数: 1

Performance Analysis of Energy Spotting and Cyclostationary Methods in Cognitive Radio 认知无线电中能量定位与循环平稳方法的性能分析

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194671

M. Ashok, R. N, M.Ajay Kumar

引用次数: 2

Group of spectators behavior mining: Integrating TV ratings with Multimedia content 观众群体行为挖掘:整合电视收视率与多媒体内容

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194626

Ravi Regulagadda, G. Nagappa, Svsv Prasad Sanaboina, P. L. Shailaja

{"title":"Group of spectators behavior mining: Integrating TV ratings with Multimedia content","authors":"Ravi Regulagadda, G. Nagappa, Svsv Prasad Sanaboina, P. L. Shailaja","doi":"10.1109/ICESE46178.2019.9194626","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194626","url":null,"abstract":"Television appraisals are a generally utilized pointer in the TV broadcasting field. While TV evaluations are for the most part utilized in publicizing, they can likewise be utilized as a social sensor that mirrors the interests of individuals. This paper introduces a structure for finding group of spectators conduct through the mining of TV evaluations. We have set up a system that empowers revelation of various examples of group of spectators conduct from TV appraisals. Utilized alongside other sight and sound substance, for example, video and content, it empowers different sorts of learning to be semi-naturally found, for example, what kinds of news projects are of most premium and what are the key visual highlights for getting high TV appraisals. The disclosure of group of spectators conduct is accomplished by concentrating on the change focuses in the rating information, i.e., the focuses in time where numerous individuals switch the station or turn the TV on or off. Rich depictions that describe these focuses are extricated from mixed media substance, and afterward different sifting systems are utilized to remove explicit examples of premium. A few utilizations of this system for finding learning showed that it can viably extricate different kinds of group of spectators conduct. As far as we could possibly know, this work is the principal work to break down the utilization of evaluations information in blend with video and other mixed media information.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"9 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":"114353933","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

Homomorphic Encryption Saving Particular Aggregation about the Online Client Behavior Data 同态加密保存在线客户端行为数据的特定聚合

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194650

Ravi Regulagadda, T. S. Krishna, P. Krishna, N. Bharathi, K. Rajiv

{"title":"Homomorphic Encryption Saving Particular Aggregation about the Online Client Behavior Data","authors":"Ravi Regulagadda, T. S. Krishna, P. Krishna, N. Bharathi, K. Rajiv","doi":"10.1109/ICESE46178.2019.9194650","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194650","url":null,"abstract":"Tremendous proportions of online client direct information are being made daily affecting cum inevitable Internet. Making attempts was given for mining plentiful direct information for empty gainful data will be useful in research and business. In any case, online clients' protection is accordingly under the danger of being shown to untouchables. In most recent decade has seen a social affair on research endeavoring to concentrating on information blend in an affirmation saving way. Most by a wide margin of existing systems ensure solid security assurance yet to the inconvenience of obliged gathering works out, for example, permitting just summation, that barely fulfills the requirement of lead examination. The proposed course of action PPSA, that encodes clients' delicate information to keep confirmation revelation from both outside specialists and the hard and fast ace affiliation, and thoroughly strengthens unequivocal supreme limits with respect to online client lead examination while ensuring differential security. We have executed our technique and studied its execution utilizing a seek after driven examination subject to an authentic online direct dataset. Test results demonstrate that our course of action adequately bolsters both all things considered out request and particular explicit full scale demand with elegant figuring and correspondence overheads.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"17 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":"114454080","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

Real-Time Traffic Monitoring System Using Spark 基于Spark的实时交通监控系统

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194613

A. Saraswathi, Mummoorthy A, A. G R, K P Porkodi

引用次数: 3

Copyright 版权

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/icese46178.2019.9194638

引用次数: 0

Image Noise Declining Approaches by Adopting Effective Filters 采用有效滤波器的图像降噪方法

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194637

R. Vidhya, P. Ashritha, M.Ajay Kumar, R. N

{"title":"Image Noise Declining Approaches by Adopting Effective Filters","authors":"R. Vidhya, P. Ashritha, M.Ajay Kumar, R. N","doi":"10.1109/ICESE46178.2019.9194637","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194637","url":null,"abstract":"Digital Image Processing is one of the techniques which has a constant requirement in the world due to its immense applications in MRI scans, retaining old literature and enhancing the quality of images acquired from underwater or from the space. People have been working on image processing for years and have successfully classified the information which would lead us to fruitful results. This paper discusses about all the categories that form a major key to image processing and the outcomes of the various techniques that come under Digital Image Processing. It gives a clear description of different formats that a grayscale picture or a color picture could be classified into i.e., PNG, JPEG, GIF, TIFF, BMP. This paper also discusses about the different types of noises (Gaussian noise, salt& pepper noise, speckle noise etc.,) that distort the original picture in a minimalistic or in a large way. Multiple filters that can be applied to a picture to correct one or more errors are also specified with reference to the codes written in MATLAB. Respective outputs for the applied noise and the final images after clearance of noise using the filters are also exhibited in this journal.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"12 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":"122301290","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

Image Processing based on Adaptive Morphological Techniques 基于自适应形态学技术的图像处理

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194641

M.Ajay Kumar, Naresh Goud, R. Sreeram, R.Gnana Prasuna

引用次数: 2