2011 International Symposium on Innovations in Intelligent Systems and Applications最新文献_第8页

Fuzzy logic controlled buck-boost DC-DC converter for solar energy-battery system 太阳能-电池系统的模糊逻辑控制降压-升压DC-DC变换器

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946099

M. Şahin, H. Okumus

引用次数: 25

Aircraft roll control system using LQR and fuzzy logic controller 飞机滚转控制系统采用LQR和模糊控制器

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946069

M. Usta, O. Akyazi, A. Akpinar

引用次数: 45

Nonlinear control of a DC-motor based on radial basis function neural networks 基于径向基函数神经网络的直流电机非线性控制

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946168

K. Ninos, Charalampos Giannakakis, Ioannis Kompogiannis, I. Stavrakas, A. Alexandridis

引用次数: 10

A framework for automated association mining over multiple databases 一个在多个数据库上进行自动关联挖掘的框架

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946050

Esma Nur Cinicioglu, Gürdal Ertek, Deniz Demirer, Hasan Ersin Yoruk

引用次数: 10

An efficient color detection in RGB space using hierarchical neural network structure 基于层次神经网络结构的RGB空间色彩检测

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946088

H. Altun, Recai Sinekli, Ugur Tekbas, F. Karakaya, M. Peker

{"title":"An efficient color detection in RGB space using hierarchical neural network structure","authors":"H. Altun, Recai Sinekli, Ugur Tekbas, F. Karakaya, M. Peker","doi":"10.1109/INISTA.2011.5946088","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946088","url":null,"abstract":"Color detection is generally a primary stage in most of the image processing application, if the application is based on the color information, such as road sign detection, face detection, skin color detection, object detection and object tracking etc. As the performance of subsequent modules in an image processing application is adversely affected by the previous modules, the accuracy of color detection with a high performance inevitably becomes crucial in some applications. This paper introduces a method for an efficient color detection in RGB space using an ensemble of experts in hierarchical structure. In this structure, a set of experts is assigned to evaluate R, G, B components of a pixel and then constructs a degree of membership to the set of predefined class of colors for the given pixel. Then a master neural network constructs its final decision based on the membership probabilities provided by the set of experts. Qualitative and quantitative evaluations of the results show that the proposed hierarchical structure of neural networks is superior over the conventional neural network classifier in color detection.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638013","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: 11

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946113

H. Ankishan, F. Arı

引用次数: 11

Recursive least squares fuzzy modeling of chemoresistive gas sensors for drift compensation 用于漂移补偿的化学电阻式气体传感器递归最小二乘模糊建模

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946046

M. Aliaghasarghamish, S. Ebrahimi

{"title":"Recursive least squares fuzzy modeling of chemoresistive gas sensors for drift compensation","authors":"M. Aliaghasarghamish, S. Ebrahimi","doi":"10.1109/INISTA.2011.5946046","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946046","url":null,"abstract":"Responses of chemoresistive gas sensors suffer from the influences of the variations of the ambient humidity and temperature. An appropriate countermeasure is required if any qualitative and quantitative analysis is going to be implemented based on these responses. Here, a novel compensation method based on the fuzzy modeling of the sensor behavior is presented. Gas sensor is treated as a nonlinear system that is affected simultaneously by three inputs, the partial pressure of the target gas, the humidity, and the temperature of the surrounding atmosphere. The single output of this system is the sensor's resistance that is referred to as the sensor response. A large database was created out of the experimental results, i.e. the inputs and outputs of the system in different conditions. It was shown that an appropriate recursive least squares (RLS) fuzzy model can be employed for modeling of the system and a quantitative analysis of the responses in different conditions. The results of the analysis were employed for the partial compensation of the drift caused errors. The method reduced the humidity and temperature variation caused errors by a factor of 5 in the laboratory tests conducted.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130202992","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

A novel breast cancer prediction system 一种新型乳腺癌预测系统

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946170

Ir Cath Tee, A. Gazala

引用次数: 11

NSSAC: Negative selection-based self adaptive classifier NSSAC:负选择自适应分类器

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946064

S. Fakhari, A. Moghadam

引用次数: 4

Design and evaluation of two-wheeled balancing robot chassis: Case study for Lego bricks 两轮平衡机器人底盘的设计与评价:以乐高积木为例

2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946132

H. Ferdinando, H. Khoswanto, D. Purwanto, Stefanus Tjokro

引用次数: 4