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2011 International Symposium on Innovations in Intelligent Systems and Applications最新文献

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A smart hybrid license plate recognition system based on image processing using neural network and image correlation 基于神经网络和图像相关的混合车牌智能识别系统
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946087
K. Yilmaz
{"title":"A smart hybrid license plate recognition system based on image processing using neural network and image correlation","authors":"K. Yilmaz","doi":"10.1109/INISTA.2011.5946087","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946087","url":null,"abstract":"In this paper, I propose a novel hybrid approach of license plate recognition system based on Neural Network and Image Correlation for classification of characters. I used image processing for segmentation. The purpose of this study is to develop a more reliable hybrid system than individual one. The license plate number of the vehicles taken from an acceptable distance from it up to 10m. This hybrid system that is composed of transformation to gray level, histogram equalization, thresholding and some novel algorithms in finding the character of license plate number. These novel algorithms were successively integrated in such a way as to complement with morphological image processing methods. However, Image correlation and neural network with LVQ (Learning Vector Quantization) learning methods were used for template matching extracted from license plate number. The novel algorithm makes powerful increase on success rate of template matching. It extracts features (area, centroid i.e.) of object and then uses them to eliminate noise and extract characters. Experimental results show the hybrid system is quite successful in recognizing private Turkish license plates.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"6 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133622814","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: 16
Alternative representations of Unified Medical Language System Semantic Network elements in Web Ontology Language 统一医学语言系统语义网络元素在Web本体语言中的替代表示
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946165
B. G. Ozdemir, N. Baykal
{"title":"Alternative representations of Unified Medical Language System Semantic Network elements in Web Ontology Language","authors":"B. G. Ozdemir, N. Baykal","doi":"10.1109/INISTA.2011.5946165","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946165","url":null,"abstract":"Unified Medical Language System Semantic Network (UMLS SN) is an upper-level abstraction of biomedical domain terminologies, which play a critical role in biology and medicine information systems. UMLS Semantic Network includes valuable data for modeling contents of the biomedical domain. However, the use of the Semantic Network is limited as it has a complex structure. Therefore, representing the SN in Web Ontology Language (OWL), which has semantically reusable and sharable format developed for use in the Semantic Web, allows applications to use the Semantic Network for supporting knowledge-intensive biomedical actions. This paper includes a discussion on alternative representations of UMLS SN elements in OWL.","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":"133142279","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: 4
A new qualitative approach to system analysis 系统分析的一种新的定性方法
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946115
Jianjun Zhu, Shaohua Tan
{"title":"A new qualitative approach to system analysis","authors":"Jianjun Zhu, Shaohua Tan","doi":"10.1109/INISTA.2011.5946115","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946115","url":null,"abstract":"It has been an important research topic to analyze systems with incomplete rule-based models in field of artificial intelligence. To solve the problem of analyzing incomplete rule based model whose consequent results are restricted in a finite set, this paper develops a new system analysis approach based on ternary qualitative analysis theory and provides its algorithm. As illustrated by an example in this paper, the new approach can be used to solve effectively and simply such problem.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"21 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133043084","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
Automatic music generation using evolutionary algorithms and neural networks 使用进化算法和神经网络的自动音乐生成
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946091
Ali Cagatay Yiiksel, Mehmet Melih Karci, A. Uyar
{"title":"Automatic music generation using evolutionary algorithms and neural networks","authors":"Ali Cagatay Yiiksel, Mehmet Melih Karci, A. Uyar","doi":"10.1109/INISTA.2011.5946091","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946091","url":null,"abstract":"A music generation system using evolutionary algorithms and recurrent neural networks as the fitness evaluator is developed. The music generation process is fully automatic and requires no human interaction during the evolution phase. A data set which contains samples from The Beatles is used to train the neural network. Software for experimental purposes is developed and executed with different data sets and parameter settings. As a result, it is observed that using an evolutionary approach, the software can successfully generate simple musical ideas.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"88 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":"132854892","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
Pareto robust reliability-based controller design for probabilistic uncertain systems using fuzzy rules 基于模糊规则的概率不确定系统Pareto鲁棒可靠性控制器设计
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946156
B. Ahmadi, M. Ghamati, A. Jamali, N. Nariman-zadeh
{"title":"Pareto robust reliability-based controller design for probabilistic uncertain systems using fuzzy rules","authors":"B. Ahmadi, M. Ghamati, A. Jamali, N. Nariman-zadeh","doi":"10.1109/INISTA.2011.5946156","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946156","url":null,"abstract":"In this paper, An optimal fuzzy system (OFS), instead of crisp threshold values, have been used for optimal reliability-based multi-objective Pareto design of robust state feedback controllers for a two-mass-spring system having parameters with probabilistic uncertainties. The objective functions that have been considered are, namely, the probabilities of failure of settling time (PTs), of control effort (Pu) and of stability of closed-loop system (Pi) in the reliability-based design optimization (RBDO) approach. A new multi-objective uniform-diversity genetic algorithm (MUGA) is used for Pareto optimum design of state feedback controllers for two-mass-spring problem. It is shown that multi-objective reliability-based Pareto optimization of the robust state feedback controllers using MUGA with OFS includes those that may be obtained by various crisp threshold values of probability of failures and, thus, remove the difficulty of selecting suitable crisp values. Besides, the multi-objective Pareto optimization of such robust feedback controllers using MUGA unveils some very important and informative trade-offs among those objective functions.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"17 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":"133071859","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
Iris feature extraction using optimized Gabor wavelet based on multi objective genetic algorithm 基于多目标遗传算法的优化Gabor小波虹膜特征提取
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946089
Hamed Ghodrati, M. Dehghani, H. Danyali
{"title":"Iris feature extraction using optimized Gabor wavelet based on multi objective genetic algorithm","authors":"Hamed Ghodrati, M. Dehghani, H. Danyali","doi":"10.1109/INISTA.2011.5946089","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946089","url":null,"abstract":"Iris reputes for its potential to identify the people with high accuracy in large scale. This is not achieved unless the iris patterns are well represented. Gabor filtering is vastly used in iris recognition literature for feature extraction. Conventionally, Gabor parameters value are supplied by pre-knowledgeable values so that the filter bank size is increased to prevent the losing information. In this paper, multi objective genetic algorithm (MOGA) is used to optimize the Gabor-wavelet in order to reduce the filter requirements and increasing the accuracy. The feature vectors are encoded by phase quantization and a novel method based on iris texture variation. Experimental results show recognizing with CRR=99.68% and EER=0.26% for codes with length only 496 bits on a subset including 2125 iris images from CASIA-IrisV3-Interval database.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"27 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":"121752876","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: 10
Artificial bee colony data miner (ABC-Miner) 人工蜂群数据挖掘器(ABC-Miner)
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946053
Mete Celik, D. Karaboğa, F. Koylu
{"title":"Artificial bee colony data miner (ABC-Miner)","authors":"Mete Celik, D. Karaboğa, F. Koylu","doi":"10.1109/INISTA.2011.5946053","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946053","url":null,"abstract":"Data mining aims to discover interesting, non-trivial, and meaningful information from large datasets. One of the data mining tasks is classification, which aims to assign the given datasets to the most suitable classes. Classification rules are used in many domains such as medical sciences, banking, and meteorology. However, discovering classification rules is challenging due to large size and noisy structure of the datasets, and the difficulty of discovering general and meaningful rules. In the literature, there are several classical and heuristic algorithms proposed to mine classification rules out of large datasets. In this paper, a new and novel heuristic classification data mining approach based on artificial bee colony algorithm (ABC) was proposed (ABC-Miner). The proposed approach was compared with Particle Swarm Optimization (PSO) rule classification algorithm and C4.5 algorithm using benchmark datasets. The experimental results show the efficiency of the proposed method.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"27 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":"124864349","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: 35
Calculation of optimized parameters of rectangular patch antenna using gravitational search algorithm 用引力搜索算法计算矩形贴片天线的优化参数
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946090
O. T. Altinoz, A. Yılmaz
{"title":"Calculation of optimized parameters of rectangular patch antenna using gravitational search algorithm","authors":"O. T. Altinoz, A. Yılmaz","doi":"10.1109/INISTA.2011.5946090","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946090","url":null,"abstract":"Gravitational Search Algorithm (GSA) is a novel optimization algorithm developed recently. Hence, it has not yet been applied for determination of the optimized parameters of microstrip patch antennas. Therefore, in this study, GSA has been applied for calculation of the length and width of the rectangular patch antenna. These parameters of rectangular patch antenna have been obtained under various resonant frequencies, substrate permittivity and thickness of the antenna.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"3 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":"125571104","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
Determining illumination sources in frontal face images using salient samples from a face depth map 利用人脸深度图中的显著样本确定正面人脸图像中的照明源
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946129
E. Seke
{"title":"Determining illumination sources in frontal face images using salient samples from a face depth map","authors":"E. Seke","doi":"10.1109/INISTA.2011.5946129","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946129","url":null,"abstract":"An efficient method is presented for determining multiple light sources illuminating faces using a general face depth map for comparable image generation. A 3D face depth map is artificially illuminated by known sources from several known directions and a set of samples from each resulting image is collected. These and corresponding samples from probed face image are used to find the light source vectors that generates an artificial face image whose samples are illuminated optimally similar to the probed face. Since the artificial data are pre-calculated and stored, illumination calculation is quite fast for a given frontal face image.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"17 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":"126148761","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: 3
Modeling of grinding process by artificial neural network for calcite mineral 方解石矿物磨矿过程的人工神经网络建模
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946142
Y. Umucu, M. Çağlar, L. Gunduz, V. Bozkurt, V. Deniz
{"title":"Modeling of grinding process by artificial neural network for calcite mineral","authors":"Y. Umucu, M. Çağlar, L. Gunduz, V. Bozkurt, V. Deniz","doi":"10.1109/INISTA.2011.5946142","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946142","url":null,"abstract":"The grindability properties of calcite sample belong to Afyonkarahisar region were investigated at batch grinding conditions based on a kinetic model. The obtained kinetic model parameters were used to estimate the product size distribution by artificial neural networks (ANN). Then, the experimental and neural network prediction results are compared.","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":"124355309","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
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