2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)最新文献

A new classification method by using Lorentzian distance metric 一种新的洛伦兹距离度量分类方法

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276764

H. Ş. Bilge, Yerzhan Kerimbekov, H. H. Uğurlu

引用次数: 5

Successive evolution of charging station placement 充电站布局的连续演变

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276733

Helge Spieker, Alexander Hagg, A. Asteroth, S. Meilinger, Volker Jacobs, Alexander Oslislo

引用次数: 3

The effects of different membership functions on the system output 不同隶属函数对系统输出的影响

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276772

Ümit Özsandikcioglu, A. Atasoy, I. Altas

引用次数: 1

A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF) 一种确定麻醉深度的新型混合方法:ReliefF特征选择与随机森林算法(ReliefF+RF)相结合

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276737

M. Peker, Ayse Arslan, B. Şen, F. Çelebi, Abdulkadir But

{"title":"A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF)","authors":"M. Peker, Ayse Arslan, B. Şen, F. Çelebi, Abdulkadir But","doi":"10.1109/INISTA.2015.7276737","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276737","url":null,"abstract":"Depth of anesthesia is a matter of great importance in surgery. Determination of depth of anesthesia is a time consuming and difficult task carried out by experts. This study aims to decide a method that can classify EEG data automatically with a high accuracy and, so will help the experts for determination process. This study consists of three stages: feature extraction of EEG signals, feature selection, and classification. In the feature extraction stage, 41 feature parameters are obtained. Feature selection stage is important to eliminate redundant attributes and improve prediction accuracy and performance in terms of computational time. Effective feature selection algorithms such as minimum redundancy maximum relevance (mRMR); ReliefF; and Sequential Forward Selection (SFS) are preferred at the feature selection stage to select a set of features which best represent EEG signals. These obtained features are used as input parameters of the classification algorithms. At the classification stage, six different classification algorithms such as random forest (RF); feed-forward neural network (FFNN); C4.5 decision tree algorithm (C4.5); support vector machines (SVM); naive bayes; and radial basis function neural network (RBF) are preferred to classify the problem. A comparison is provided between computation times and accuracy rates of these different classification algorithms. The experimental results show that better results according to other classifiers when the obtained attributes by ReliefF algorithm are used with RF classifier.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133995943","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: 29

A comparative study on machine learning algorithms for indoor positioning 室内定位中机器学习算法的比较研究

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276725

Sinem Bozkurt, Gulin Elibol, Serkan Günal, Uğur Yayan

{"title":"A comparative study on machine learning algorithms for indoor positioning","authors":"Sinem Bozkurt, Gulin Elibol, Serkan Günal, Uğur Yayan","doi":"10.1109/INISTA.2015.7276725","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276725","url":null,"abstract":"Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. During the positioning, the best match between the observed RSS values and existing RSS values in the radio map is established as the predicted position. In the positioning literature, machine learning algorithms have widespread usage in estimating positions. One of the main problems in indoor positioning systems is to find out appropriate machine learning algorithm. In this paper, selected machine learning algorithms are compared in terms of positioning accuracy and computation time. In the experiments, UJIIndoorLoc indoor positioning database is used. Experimental results reveal that k-Nearest Neighbor (k-NN) algorithm is the most suitable one during the positioning. Additionally, ensemble algorithms such as AdaBoost and Bagging are applied to improve the decision tree classifier performance nearly same as k-NN that is resulted as the best classifier for indoor positioning.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115704353","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: 99

Takagi-Sugeno PD+I fuzzy control of processes with variable moment of inertia 变惯性矩过程的PD+I模糊控制

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276770

A. Stînean, C. Dragos, R. Precup, S. Preitl, E. Petriu

{"title":"Takagi-Sugeno PD+I fuzzy control of processes with variable moment of inertia","authors":"A. Stînean, C. Dragos, R. Precup, S. Preitl, E. Petriu","doi":"10.1109/INISTA.2015.7276770","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276770","url":null,"abstract":"The paper presents aspects related to the design and implementation of a Takagi-Sugeno (TS) proportionalderivative (PD) + integral (I) fuzzy controller for processes with variable moment of inertia. A two-step design method for the TS PD+I fuzzy controller applied to position control systems is proposed. The first step concerns the Extended Symmetrical Optimum method-based tuning of the parameters of linear PID controllers organized in a parallel scheme. The second step deals first with the fuzzification of the linear PD component in the PID controller scheme resulting in the TS PD fuzzy block (TS PD FB). The modal equivalence principle is next employed to tune the parameters of TS PD FB that operates as a bump-less interpolator between separately tuned PD controllers placed in the rule consequents. The presentation is focused on the position control of a representative mechatronics application with variable moment of inertia, namely the laboratory equipment built around the Model 220 Industrial Plant Emulator. Experimental results are given to validate the PID controllers and design method in several case studies. The comparison of TS PD+I fuzzy controller versus PID controllers is supported by experimental results.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127495022","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: 9

Content protection and hierarchical access control in image databases 图像数据库中的内容保护与分级访问控制

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276730

R. Kountchev, M. Milanova, R. Kountcheva

引用次数: 7

Comparison of three search algorithms for mobile trip planner for Eskisehir city Eskisehir城市移动出行计划器三种搜索算法的比较

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276791

A. Aydin, Sedat Telçeken

引用次数: 2

Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses 通过统计分析对比互动式与增强现实购物平台的消费者购买意愿

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276727

Jasmina Stoyanova, P. Q. Brito, P. Georgieva, M. Milanova

{"title":"Comparison of consumer purchase intention between interactive and augmented reality shopping platforms through statistical analyses","authors":"Jasmina Stoyanova, P. Q. Brito, P. Georgieva, M. Milanova","doi":"10.1109/INISTA.2015.7276727","DOIUrl":"https://doi.org/10.1109/INISTA.2015.7276727","url":null,"abstract":"The objective of this study is to explore the effectiveness of three digital shopping platforms (Plain Interactive, Marker-based Augmented Reality and Markerless Augmented Reality), on the impressions and purchase intentions of consumers. The study is mainly interested in analysing whether intelligent shopping platforms with AR elements provide any added advantage to an advertised product in the form of favourable attitude or a stronger purchase impulse. During the tests with the three shopping platforms, quantitative data was collected via computerised questionnaire. High and Low class users were statistically extracted, corresponding to the high or low probability to buy or recommend the advertised brand. The results show that Markerless AR system clearly outperforms the Marker-based AR and the Plain Interactive in terms of positive attitude from the users. The second better performing system is the Marker-based AR, which closely follows the Markerless AR, while the Plain Interactive system obtains least approval.","PeriodicalId":136707,"journal":{"name":"2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123156272","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: 21

Content based recommendation for HBB TV based on bayes conditional probability for multiple variables approach 基于多变量贝叶斯条件概率方法的HBB电视内容推荐

2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2015-09-28 DOI: 10.1109/INISTA.2015.7276720

Alexandra Posoldova, Alan Wee-Chung Liew

引用次数: 1