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

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A novel switched filter compensation scheme for power quality enhancement and loss reduction 一种提高电能质量和降低损耗的开关滤波器补偿方案
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946100
A. Sharaf, A. Abdelsalam
{"title":"A novel switched filter compensation scheme for power quality enhancement and loss reduction","authors":"A. Sharaf, A. Abdelsalam","doi":"10.1109/INISTA.2011.5946100","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946100","url":null,"abstract":"The paper presents a novel FACTS-based dynamic voltage regulation and self adjusting switched filter Compensator (SFC). The SFC is controlled by a tri-loop dynamic error driven inter coupled weighted modified PID controller. SFC scheme has been fully validated for effective power quality (PQ) improvement, voltage stabilization, power factor correction and feeder losses reduction. The proposed FACTS based scheme can also be extended to distributed/dispersed renewable energy interface and utilization systems and can be easily modified for other specific stabilization, compensation requirements, voltage regulation and efficient utilization duties enhancement.","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":"121375777","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: 12
Design and implementation of remote model predictive control system 远程模型预测控制系统的设计与实现
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946062
Guoli Ji, Wei Lin, Xiao-li Liu, Qi Wang, Kangkang Zhang, Huaiqing Sun
{"title":"Design and implementation of remote model predictive control system","authors":"Guoli Ji, Wei Lin, Xiao-li Liu, Qi Wang, Kangkang Zhang, Huaiqing Sun","doi":"10.1109/INISTA.2011.5946062","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946062","url":null,"abstract":"A design scheme of remote model predictive control system is presented in this paper. Combined with the asynchronous messaging framework Errai, a network application system for remote model predictive control, which is based on GWT architecture, is developed and implemented by using RIA technique. The application field of MPC product is extended and the application function is expanded effectively by this system, which can assist in remote monitoring of production process, and provide approach for multi-line communication, emergency response, data mining and consulting service. Therefore it can guarantee economical, efficient and safe operation state of industrial production.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"37 7 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":"116786860","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
Discrimination between mental and motor tasks of EEG signals using different classification methods 用不同的分类方法区分脑电信号的精神任务和运动任务
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946086
N. G. Ozmen, L. G. Ktu
{"title":"Discrimination between mental and motor tasks of EEG signals using different classification methods","authors":"N. G. Ozmen, L. G. Ktu","doi":"10.1109/INISTA.2011.5946086","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946086","url":null,"abstract":"This paper presents comparison of different classification algorithms which are Linear Discriminant Analysis, Support Vector Machines and Neural networks for EEG signals recorded during mental and motor tasks from a subject. The purpose was to determine an optimum classification scheme that could be efficiently used in a brain-computer interface application. Each EEG data set were first excluded from noise and after that a feature selection procedure has been applied and then the data given to the classifier. This research demonstrated that according to the selected features, among these classification methods Support Vector Machines has the highest accuracy rates. On the other hand the training time of Linear Discriminant Analysis is the shortest of all. While the classification accuracy of mental and motor task comparison is high for all three classification methods, it decreases in case of two motor task comparison.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"111 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":"114278258","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
Prediction of manufacturing lead time based on Adaptive Neuro-Fuzzy Inference System (ANFIS) 基于自适应神经模糊推理系统的制造提前期预测
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946049
A. Behrouznia, A. Azadeh, Khosro Pichka, P. Pazhoheshfar, Morteza Saberi
{"title":"Prediction of manufacturing lead time based on Adaptive Neuro-Fuzzy Inference System (ANFIS)","authors":"A. Behrouznia, A. Azadeh, Khosro Pichka, P. Pazhoheshfar, Morteza Saberi","doi":"10.1109/INISTA.2011.5946049","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946049","url":null,"abstract":"The lead time estimation is significant activity in each corporation that concerns with the breakdown of machines and maintenance. An integrated algorithm for forecasting weekly lead time based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed in this study. First, an ANFIS model is illustrated for the lead time forecasting simultaneously. The lowest Mean Absolute Percentage Error (MAPE) value is used to select the best model. In order to illustrate the applicability and superiority of the proposed algorithm, the weekly lead time of Motogen Company in Iran for 70 weeks is used and applied to the proposed algorithm.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"75 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":"126814528","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
Neural network based distributed generation allocation for minimizing voltage fluctuation due to uncertainty of the output power 基于神经网络的分布式发电分配，以减小输出功率不确定性引起的电压波动
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946103
F. Ugranli, Cevdet Ersavas, E. Karatepe
{"title":"Neural network based distributed generation allocation for minimizing voltage fluctuation due to uncertainty of the output power","authors":"F. Ugranli, Cevdet Ersavas, E. Karatepe","doi":"10.1109/INISTA.2011.5946103","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946103","url":null,"abstract":"The problem of distributed generation (DG) allocation and sizing is of great importance, since improper integration of DG units cause to take a bad turn in terms of power quality and system efficiency at high penetration levels. In this reason, allocation of DG is not a trivial optimization problem. The reactive and active power fluctuation of DG will lead to voltage fluctuation, especially for wind or photovoltaic power generators. Their output powers are more unpredictable due to the intermittent wind speed and irradiation. In this paper, the effects of reactive and active powers of DG on voltage profile are analyzed by including their output power fluctuation and an artificial neural network (ANN) based decision support system are developed to be used in management and planning of DG integration. The proposed system can be used to determine suitable bus to reduce the voltage fluctuation of critical buses. The simulation results presented shows the effectiveness of the method.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"87 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":"125935851","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
Identification of mRNA poly(A) signal patterns mRNA多聚(A)信号模式的鉴定
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946151
Xiaohui Wu, Huanghui Zhang, Qi Liu, Junfeng Yao, Meishuang Tang, Guoli Ji
{"title":"Identification of mRNA poly(A) signal patterns","authors":"Xiaohui Wu, Huanghui Zhang, Qi Liu, Junfeng Yao, Meishuang Tang, Guoli Ji","doi":"10.1109/INISTA.2011.5946151","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946151","url":null,"abstract":"The poly(A) signal patterns surrounding the poly(A) site in model plant Arabidopsis thaliana were generated, selected and verified. First, candidate nucleotide patterns of different signal regions were generated based on their conservatism, using the TFxIDF index of vector space model that is widely used in text categorization. Then, effective features were selected through a genetic algorithm based wrapper feature selection method. Finally, a boosting method called Adaboost.M1 was adopted to verify the feature subset by identifying poly(A) sites. The results showed that our feature selection method could significantly reduce the dimension of feature space to enhance the classifier performance to a large extent. Moreover, the selected features could be used to improve the parameters of the poly(A) site recognition model, thus enhanced the prediction accuracy greatly. This study will not only enhance our understanding of poly(A) signals, but also concisely show a poly(A) site recognition model by applying classifier on the feature space.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"40 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":"127356277","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
Comparison of single and ensemble classifiers in terms of accuracy and execution time 单个分类器和集成分类器在准确率和执行时间方面的比较
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946119
M. Amasyali, O. Ersoy
{"title":"Comparison of single and ensemble classifiers in terms of accuracy and execution time","authors":"M. Amasyali, O. Ersoy","doi":"10.1109/INISTA.2011.5946119","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946119","url":null,"abstract":"Classification accuracy and execution time are two important parameters in the selection of classification algorithms. In our experiments, 12 different ensemble algorithms, and 11 single classifiers are compared according to their accuracies and train/test time over 36 datasets. The results show that Rotation Forest has the highest accuracy. However, when accuracy and execution time are considered together, Random Forest and Random Committees can be the best choices.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"14 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120986084","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: 14
Soccer video semantic concept detection based on Bayesian belief network approach 基于贝叶斯信念网络的足球视频语义概念检测
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946161
Monireh Hosseini, A. Moghadam
{"title":"Soccer video semantic concept detection based on Bayesian belief network approach","authors":"Monireh Hosseini, A. Moghadam","doi":"10.1109/INISTA.2011.5946161","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946161","url":null,"abstract":"In this paper a method for detecting semantic concepts in soccer video based on Bayesian Belief Network (BBN) classifier is proposed. In most broadcast soccer videos, replays succeed excitement clips. Replays often stand between two successive logos. Here neural network learning is used to detect logos. Events such as close-ups of players, close-ups of referees, staple line in corner point, spectators and players' gathering are extracted from the excitement clips. These events are used as evidences for BBN and posterior probabilities of semantic concepts such as goals, saves, off-side, foul and corner are computed. Experimental results on several soccer videos demonstrate the effectiveness of the proposed approach.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"39 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":"115059696","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 combinatorial Artificial Bee Colony algorithm for traveling salesman problem 旅行商问题的组合人工蜂群算法
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946125
D. Karaboğa, B. Gorkemli
{"title":"A combinatorial Artificial Bee Colony algorithm for traveling salesman problem","authors":"D. Karaboğa, B. Gorkemli","doi":"10.1109/INISTA.2011.5946125","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946125","url":null,"abstract":"Traveling Salesman Problem is an important optimization issue of many fields such as transportation, logistics and semiconductor industries and it is about finding a Hamiltonian path with minimum cost. To solve this problem, many researchers have proposed different approaches including metaheuristic methods. Artificial Bee Colony algorithm is a well known swarm based optimization technique. In this paper we propose a new Artificial Bee Colony algorithm called Combinatorial ABC for Traveling Salesman Problem. Simulation results show that this Artificial Bee Colony algorithm can be used for combinatorial optimization problems.","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"66 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":"114984073","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: 170
Shop marketing scenario using context based digital personality 使用基于上下文的数字个性的商店营销场景
2011 International Symposium on Innovations in Intelligent Systems and Applications Pub Date : 2011-06-15 DOI: 10.1109/INISTA.2011.5946163
Serdar Birogul, Emre Kucukayvaz, Onder Murat Erol
{"title":"Shop marketing scenario using context based digital personality","authors":"Serdar Birogul, Emre Kucukayvaz, Onder Murat Erol","doi":"10.1109/INISTA.2011.5946163","DOIUrl":"https://doi.org/10.1109/INISTA.2011.5946163","url":null,"abstract":"The goal of the CBDP project is to create a platform for the Digital Personality management. The concept of Digital Personality refers to the capacity to capture the user's personality in a digital way. The digital personality depends on the context of its application. This means that the user's preferences, sensors, actuators are different from application domain to application domain. The CBDP project defines different application contexts such as SmartHome, SmartTV, Shop-Marketing, M-Learning. In this paper shop-marketing scenario is defined how to implement into the CBDP framework","PeriodicalId":301397,"journal":{"name":"2011 International Symposium on Innovations in Intelligent Systems and Applications","volume":"303 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":"133894576","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
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