2018 International Conference on Advanced Computation and Telecommunication (ICACAT)最新文献_第2页

A Literature Survey of Optimization Techniques for Satellite Image Segmentation 卫星图像分割优化技术文献综述

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933689

B. N. Pandey, A. Shrivastava, A. Rana

{"title":"A Literature Survey of Optimization Techniques for Satellite Image Segmentation","authors":"B. N. Pandey, A. Shrivastava, A. Rana","doi":"10.1109/ICACAT.2018.8933689","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933689","url":null,"abstract":"The satellite image segmentation is a key area for current research and numerous work has been done for exploration of this area. The nature inspired optimization algorithms are very promising with image segmentation techniques to provide a platform for processing of satellite images. In this paper a literature review of different nature based optimization algorithms such as modified artificial bee colony (MABC) algorithm, ABC algorithm, particle swarm optimization (PSO), Darwinian PSO, genetic algorithm (GA), Wind driven optimization (WDO) and cuckoo search(CS) using different objective functions has been discussed to find the optimized multilevel thresholds. These nature influenced optimization methods and their performances are compared using different objective functions for optimal multilevel thresholding. The comparative study shows that the MABC algorithm and different variants of CS algorithm are very strong and accurate in results generating using image segmentation. Both methods search multilevel thresholds very efficiently and correctly, and in MABC an improved bee’s search solution are used and in CS the cuckoo search solution are used.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"33 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":"85486681","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: 18

GaN-Based Oscillators for Wireless Power Transfer Applications 无线电力传输应用中基于gan的振荡器

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933533

A. Jarndal, T. Petrovic

引用次数: 5

Head Posture Analysis using sEMG Signal 基于表面肌电信号的头部姿势分析

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933731

Kavita Kushwah, R. Narvey, A. Singhal

{"title":"Head Posture Analysis using sEMG Signal","authors":"Kavita Kushwah, R. Narvey, A. Singhal","doi":"10.1109/ICACAT.2018.8933731","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933731","url":null,"abstract":"The purpose of this study was to determine the muscle activity of upper trapezius muscle of different head posture at standing and sitting positions by using surface electromyography (sEMG) signals. This tool may be a non-invasive technique that enables the analysis of muscle activity. Human’s head posture is significant part of human body and have a big role to analyze posture of human body. During this approach surface electrodes are employed to record surface electromyography (sEMG) signals of head posture at different angles. It is discovered that the muscle action of upper trapezius at both standing and sitting position is higher at 60 degree of head pose, whereas it’s lower just in case of zero degree that may be a neutral posture of head. It was also found that the muscle activity at standing position is higher than that of sitting position and in the result right trapezius muscle is more activate in standing position than the sitting position. It was also investigated that the muscle activity in standing is higher than that of sitting position. It is suggested that the muscle activity of head posture is lower in neutral position of head.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"299 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":"79655307","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

Local and Global Feature Fusion Based Visual Concept Detection in Images 基于局部和全局特征融合的图像视觉概念检测

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933717

S. M. Patil, K. Bhoyar

引用次数: 0

A Review on Advanced Graphical Authentication to Resist Shoulder Surfing Attack 抗肩冲浪攻击的高级图形认证技术综述

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933699

D. Thosar, Manmohan Singh

{"title":"A Review on Advanced Graphical Authentication to Resist Shoulder Surfing Attack","authors":"D. Thosar, Manmohan Singh","doi":"10.1109/ICACAT.2018.8933699","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933699","url":null,"abstract":"In today’s world of newly coming technologies, an authentication play’s an efficient role to provide authenticity to every user’s vital information from variety of system attacks. So we need to provide strong authenticity to avoid from such an unsecured problems. Up till now most of the users prefer text passwords to provide authenticity to their account. In many cases there will be a risk of textual password by selecting an irrelevant or easily remembered password or the way of putting it in the insecure way are said to be “the unsecured way” in the authentication chain. Except choosing a strong character set, the user will select the easier password which is less complicated or short or the text as a password which is easier to kept in mind. So with new & advanced, emerging technologies and a large set of mobile application to be developed on regular basis. Due to this user can access their account anytime, anywhere on mobiles, Laptops etc. It’s a better thing through which we decrease the time consumption but automatically increases the chance of exposing the credentials to the shoulder surfing attacker’s. It can be happened directly or indirectly with naked eyes or indirectly by using some hidden recording devices to detect user’sconfidential data.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"42 1","pages":"1-3"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77818389","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

Content Based Facial Emotion Recognition Model using Machine Learning Algorithm 基于内容的机器学习人脸情感识别模型

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933790

Ranjana S. Jadhav, P. Ghadekar

引用次数: 7

Classification of Spam Mail using different machine learning algorithms 垃圾邮件分类使用不同的机器学习算法

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933787

A. Shrivastava, R. Dubey

{"title":"Classification of Spam Mail using different machine learning algorithms","authors":"A. Shrivastava, R. Dubey","doi":"10.1109/ICACAT.2018.8933787","DOIUrl":"https://doi.org/10.1109/ICACAT.2018.8933787","url":null,"abstract":"Email is necessary and essential for communication in today's life. Today internet users are increases, and email is necessary for communication over the internet. Spam mail is a major and big problem of researchers to analyze and reduce it. Spam emails are received in bulk amount and it contains trojans, viruses, malware and causes phishing attacks. Problems are arise when number of unwanted mails are come from unknown sites and how to classify the user that email are received which is spam email or ham. This paper used to classify that incoming emails are spam mail or ham by the use of different classification techniques to identify spam mail and remove it. Naive bayes classifier are apply in the concept of posterior probability and decision tree algorithms are apply namely Random Tree, REPTree, Random Forest,and J48 decision tree classifier. For the identification of spam mail, UCI spambase dataset is used. It is a benchmark dataset which contains 58 attributes and 4601 instances. Weka software is used for the analysis and implementation of results. In Weka tool, classification algorithms are used to find spam mail in the classification phase of weka software.These papers play a very important role to remove viruses, trojans, malware and websites including phishing attacks and fraudulent attempts in emails. Feature selection is applied on dataset for training set and cross validation. Cfs Subset evaluation method is used for best first method in feature selection. For the classification of spam mail, we use two tests are cross validation and training set under classifier option in Weka Tool. For training set, same data will be used for training and testing. And for cross validation, training data is segmented in a number of folds. And finally using training set, Random Tree gives the best result for the classification of spam mail.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"4 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87851345","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

Combinational and sequential standard cell design using Radiation Hardened By Design (RHBD) Technique 采用设计强化辐射(RHBD)技术设计组合和顺序标准电池

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933597

H. K. Dwivedi, Shuvendu Nandi, Shweta Lahariya, Sangeeta Nakhate

引用次数: 1

Study of Median Filters and Fuzzy Rules for Filtering of Images Corrupted With Mixed Noise 混合噪声图像中值滤波及模糊规则的研究

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933809

Jagrati Gupta, S. Agrawal

引用次数: 1

Performance Evaluation of Thresholding Techniques on Modi Script 阈值技术在莫迪文字上的性能评价

2018 International Conference on Advanced Computation and Telecommunication (ICACAT) Pub Date : 2018-12-01 DOI: 10.1109/ICACAT.2018.8933594

B. Solanki, M. Ingle

引用次数: 4