2017 International Artificial Intelligence and Data Processing Symposium (IDAP)最新文献_第7页

Sleep stage classification by ensemble learning methods with active sample selection techniques 基于主动样本选择的集成学习方法的睡眠阶段分类

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090217

Hamza Osman Ilhan, C. Avci

引用次数: 1

Auto correlation based elevator rope monitoring and fault detection approach with image processing 基于图像处理的电梯钢丝绳自相关监测与故障检测方法

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090176

Orhan Yaman, M. Karakose

{"title":"Auto correlation based elevator rope monitoring and fault detection approach with image processing","authors":"Orhan Yaman, M. Karakose","doi":"10.1109/IDAP.2017.8090176","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090176","url":null,"abstract":"Elevators are the means that people often use in everyday life. From the past until nowadays many elevators have been used in many areas. Elevator systems with the formation of high-rise buildings in recent years has become more important. Early diagnosis of faults that may occur in the elevator system is very important. In this study, an approach has been proposed to monitor and detect faults on elevator ropes. The proposed method is based on image processing and auto correlation. Images are taken with the cameras fixed to the elevator system. The position of the elevator rope is determined by extracting the edges on the images. Thus, the elevator rope is monitored in real time. The detected rope is cut off from the gray format image. The elevator rope is observed by applying auto correlation to the obtained image. It is converted into image signals by using auto correlation method. The difference signal is generated by using the obtained auto correlation signal. High values in the difference signal are detected as rope fault. The proposed fault detection approach is quite fast because it has a signal processing base.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116662741","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: 23

Improvement of a genetic algorithm approach for the solution of vehicle routing problem with time windows 带时间窗车辆路径问题的改进遗传算法

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090185

Tolunay Göçken, M. Yaktubay, Fatih Kılıç

引用次数: 4

N-gram based approach to recognize the twitter accounts of Turkish daily newspapers 基于N-gram的土耳其日报twitter账号识别方法

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090209

İslam Mayda, Mirsat Yesiltepe

引用次数: 1

Özyinelemeli ortanca süzgeç İçin İki yeni yaklaşim

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090167

Pelin Altinişik, Erhan Ergün

引用次数: 1

Design and implementation of a semi-autonomous mobile search and rescue robot: SALVOR 半自主移动搜救机器人SALVOR的设计与实现

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090184

A. Denker, M. İşeri

{"title":"Design and implementation of a semi-autonomous mobile search and rescue robot: SALVOR","authors":"A. Denker, M. İşeri","doi":"10.1109/IDAP.2017.8090184","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090184","url":null,"abstract":"Humankind encounters with unprecedented number and scales of disasters which stem from natural and human-made causes. So many victims have suffered severely in those catastrophes that compelled generation and development of search and rescue technology to help victims in future. One of the most important application areas within this scope is the search and rescue robots. The robots equipped with capabilities of sensing and maneuvering in the areas of calamity are enticing more and more attentions from researchers and rescuers. This project aims at realization of a new generation of search and rescue robot which can work in autonomous and semi-autonomous modes and can be used in harsh physical environments of disaster regions to carry out the given tasks more effectively by the use of advanced and economic sensors. In this paper, a mobile search and rescue robot called SALVOR is designed and implemented. SALVOR partly relies on the data from its sensors about the environment and partly on instructions from the human operators for its operation. On the other hand it provides information about its surroundings for situation assessment. Design and implementation processes of SALVOR are described and its test results are presented in an arena which simulates the calamity zone.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127492605","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: 17

An adaptive noise canceller based on QLMS algorithm for removing EOG artifacts in EEG recordings 一种基于QLMS算法的自适应消噪器，用于去除EEG记录中的EOG伪影

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090246

E. Mengüç, Nurettin Acır

引用次数: 2

A review on machine learning tools 机器学习工具综述

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090257

Mustafa Kaytan, Ibrahim Berkan Aydilek

引用次数: 3

Diagnosis of pancreatic cancer by pattern recognition methods using gene expression profiles 基于基因表达谱的模式识别方法诊断胰腺癌

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090327

D. Arslan, Merve Erkınay Özdemir, Mustafa Turan Arslan

引用次数: 3

Frequent pattern mining for community dedection in web logs group based habit dedection in community using network traces 基于网络痕迹的群体习惯检测的频繁模式挖掘

2017 International Artificial Intelligence and Data Processing Symposium (IDAP) Pub Date : 2017-09-01 DOI: 10.1109/IDAP.2017.8090293

Hafzullah Is, A. Müngen, T. Tuncer, Mehmet Kaya

{"title":"Frequent pattern mining for community dedection in web logs group based habit dedection in community using network traces","authors":"Hafzullah Is, A. Müngen, T. Tuncer, Mehmet Kaya","doi":"10.1109/IDAP.2017.8090293","DOIUrl":"https://doi.org/10.1109/IDAP.2017.8090293","url":null,"abstract":"During last 10 years, internet usage network has spread at an unforeseen rate. Concurrently, many services including official transactions have been granted from the internet. By the way, it has become an area where internet users have access to apps and interact with each other over social media. People's internet usage habits have become a domain that can give information about the areas of the population and their interests. In social networks, group analysis and connection predictions are popular terms that construct base of a lot of scientific works. This terms, especially, used for; ads customize, habits and tendency retain or determination of friendship based on same character. Network users can be grouped according to their activity and character, or they can be grouped according to their movement over the network by their estimation algorithms. In this study, all dataset filtered to get anonymous traffic logs that generated by a part of internet users who are in the network of an institution and the community was explored. All logs analyzed according to Category-based diversity, time periods of accesses and usage periods. As expected, communities were established from the habits of users with “Pattern Based Frequency Analysis Method”. Voluntary experimental users whose mac addresses were already defined and belong to determined groups redistributed with specified method. Lastly, via calculating the achievement of correct distribution results the success of method found out.","PeriodicalId":111721,"journal":{"name":"2017 International Artificial Intelligence and Data Processing Symposium (IDAP)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129709297","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