Due to possessing unique structure, sandwich panels have special characteristics which the most important is having high strength to weight ratio. Sandwich panels having diverse prismatic cores have been investigated and comparisons have been carried out for finding the best design. For this reason, the importance of optimization techniques particularly metaheuristics is understood. Water cycle algorithm (WCA), as a recently developed optimizer, is inspired from water cycle process. The optimum dimensions and the minimum weight have been calculated in order to design ultra-light weight sandwich panels. The imposed constraints in this problem are buckling load and yield stress. The obtained figures and results conclude that the diamond prismatic topology (having corrugation order of 4) is the most weight efficient among other existing designs under specific loading direction.
{"title":"Sizing Optimization of Sandwich Panels Having Prismatic Core Using Water Cycle Algorithm","authors":"Ali Sadollah, Joon-Hoon Kim, H. Eskandar, D. Yoo","doi":"10.1109/GCIS.2013.58","DOIUrl":"https://doi.org/10.1109/GCIS.2013.58","url":null,"abstract":"Due to possessing unique structure, sandwich panels have special characteristics which the most important is having high strength to weight ratio. Sandwich panels having diverse prismatic cores have been investigated and comparisons have been carried out for finding the best design. For this reason, the importance of optimization techniques particularly metaheuristics is understood. Water cycle algorithm (WCA), as a recently developed optimizer, is inspired from water cycle process. The optimum dimensions and the minimum weight have been calculated in order to design ultra-light weight sandwich panels. The imposed constraints in this problem are buckling load and yield stress. The obtained figures and results conclude that the diamond prismatic topology (having corrugation order of 4) is the most weight efficient among other existing designs under specific loading direction.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125092665","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}
Taking the radial basis function as a kernel function, a prediction model is developed based on the support vector regression machine (SVR). The optimization of the model parameters, including penalty factor and kernel function variance, is realized by the artificial fish swarm algorithm. The model is used to predict nine foreign exchange rate data with updating and rolling. At the same time, simulating by the cross validation, genetic algorithm, particle swarm optimization algorithm and then evaluating the results from the total error (TE), relative error (RE), absolute root mean square error (ARMSE) and correct trend rate (CTR) comprehensively, the comparison shows that the errors of the model based on SVR optimized by artificial fish swarm algorithm are all minimum and CTR are maximum. In the end, in order to improve the convergence speed and precision further, the self-adaption artificial fish swarm algorithm is presented which is joined the attenuation factor and based on the average distance visual. The result is ideal. Therefore, SVR optimized by the improved artificial fish swarm algorithm can be effectively used in forex prediction.
{"title":"Forex Prediction Based on SVR Optimized by Artificial Fish Swarm Algorithm","authors":"Ma Li, Fan Suohai","doi":"10.1109/GCIS.2013.14","DOIUrl":"https://doi.org/10.1109/GCIS.2013.14","url":null,"abstract":"Taking the radial basis function as a kernel function, a prediction model is developed based on the support vector regression machine (SVR). The optimization of the model parameters, including penalty factor and kernel function variance, is realized by the artificial fish swarm algorithm. The model is used to predict nine foreign exchange rate data with updating and rolling. At the same time, simulating by the cross validation, genetic algorithm, particle swarm optimization algorithm and then evaluating the results from the total error (TE), relative error (RE), absolute root mean square error (ARMSE) and correct trend rate (CTR) comprehensively, the comparison shows that the errors of the model based on SVR optimized by artificial fish swarm algorithm are all minimum and CTR are maximum. In the end, in order to improve the convergence speed and precision further, the self-adaption artificial fish swarm algorithm is presented which is joined the attenuation factor and based on the average distance visual. The result is ideal. Therefore, SVR optimized by the improved artificial fish swarm algorithm can be effectively used in forex prediction.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129507986","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}
C. Qiao, Rui Zhang, Jing Yao, Xiangliang Kong, Changsheng Zhou
The global convergence (GC) analysis of recurrent neural networks (RNNs) is a first and necessary step for any practical applications of them. In the present paper, when the connecting matrix of the RNNs with projection mapping owning limited norm, the GC property is assured under the critical condition. The results given here not only improve deeply upon the existing relevant critical as well as non-critical dynamics conclusions in literature, but also can be used in the practical application of RNNs directly.
{"title":"The Research on the GC Property for RNNs with Limited Matrix 2-Norm","authors":"C. Qiao, Rui Zhang, Jing Yao, Xiangliang Kong, Changsheng Zhou","doi":"10.1109/GCIS.2013.19","DOIUrl":"https://doi.org/10.1109/GCIS.2013.19","url":null,"abstract":"The global convergence (GC) analysis of recurrent neural networks (RNNs) is a first and necessary step for any practical applications of them. In the present paper, when the connecting matrix of the RNNs with projection mapping owning limited norm, the GC property is assured under the critical condition. The results given here not only improve deeply upon the existing relevant critical as well as non-critical dynamics conclusions in literature, but also can be used in the practical application of RNNs directly.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131452063","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}
A novel method for patterned fabric defect detection and classification using spectral estimation technique and rough set theory is presented in this paper. Estimating Signal Parameter via Rotational Invariance Technique (ESPRIT) is firstly used to extract the pattern from the image of the patterned fabric. Then, the shape and location of the flawed areas are detected by comparing the pattern image and the source image. A rough set classifier is trained and tested to detect the types of defects in the patterned fabric image. Experimental results show that this method can successfully analyze and recognize oil warp and weft defects in patterned fabrics with nearly 96% success rate.
{"title":"Defect Detection of Patterned Fabric by Spectral Estimation Technique and Rough Set Classifier","authors":"Min Li, Z. Deng, Lijing Wang","doi":"10.1109/GCIS.2013.36","DOIUrl":"https://doi.org/10.1109/GCIS.2013.36","url":null,"abstract":"A novel method for patterned fabric defect detection and classification using spectral estimation technique and rough set theory is presented in this paper. Estimating Signal Parameter via Rotational Invariance Technique (ESPRIT) is firstly used to extract the pattern from the image of the patterned fabric. Then, the shape and location of the flawed areas are detected by comparing the pattern image and the source image. A rough set classifier is trained and tested to detect the types of defects in the patterned fabric image. Experimental results show that this method can successfully analyze and recognize oil warp and weft defects in patterned fabrics with nearly 96% success rate.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772450","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}
In this paper, the brain activities for short-term and long-term memory were verified by event-related potentials of the brain. In addition, long-term memory had a proactive interference to short-term memory that could be found by observing the changes of potentials in the brain. In clinical trials, subjects randomly selected a poker card (target) to be memorized. Subsequently, they were tested by the recognition task that was comprised of a target card and two different cards. The changes of ERPs during card presentation reflected the retrieval process of memory in the brain. Experimental results revealed that the amplitude of P300 of ERPs was related to the short-term memory and could be used to identify whether the presented card was in one's memory or not. The card that was memorized in the short-term memory elicited a larger P300 than other cards without memorization. However, experimental results also found that some meaningful cards, for example spade-2, existed in one's long-term memory and elicited larger P300 amplitude than memorized cards in short-term memory, achieving significant levels. Thus, long-term memory affected the recognition task of short-term memory. The electrophysiological changes are an indicator to memory process and reflect the degree of meaning of objects in the memory. The research provided valuable results that support theories about memory in psychology.
{"title":"Brain Waves Reflect Your Memories","authors":"T. W. Huang, Y. J. Tian, Y. Tai, K. Sun","doi":"10.1109/GCIS.2013.9","DOIUrl":"https://doi.org/10.1109/GCIS.2013.9","url":null,"abstract":"In this paper, the brain activities for short-term and long-term memory were verified by event-related potentials of the brain. In addition, long-term memory had a proactive interference to short-term memory that could be found by observing the changes of potentials in the brain. In clinical trials, subjects randomly selected a poker card (target) to be memorized. Subsequently, they were tested by the recognition task that was comprised of a target card and two different cards. The changes of ERPs during card presentation reflected the retrieval process of memory in the brain. Experimental results revealed that the amplitude of P300 of ERPs was related to the short-term memory and could be used to identify whether the presented card was in one's memory or not. The card that was memorized in the short-term memory elicited a larger P300 than other cards without memorization. However, experimental results also found that some meaningful cards, for example spade-2, existed in one's long-term memory and elicited larger P300 amplitude than memorized cards in short-term memory, achieving significant levels. Thus, long-term memory affected the recognition task of short-term memory. The electrophysiological changes are an indicator to memory process and reflect the degree of meaning of objects in the memory. The research provided valuable results that support theories about memory in psychology.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129484072","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}
Freshwater ecosystems face numerous anthropogenic stressors. For solving long-term effects in aquatic ecosystems due to the human-induced actions, we need to use benthic macro invertebrates instead of a chemical analysis. The use of benthic macro invertebrates requires their identification which is a laborius and cost-intensive task. By means of automated taxa identification of macro invertebrates the costs can be reduced and the identification process can be speeded up. However, the identification demands reliable tools. In this research we extended the use of one-vs-one method from Support Vector Machines into several other classification methods and we examined the tie situation problem which is encountered in one-vs-one method. Overall, we used 15 different classification methods in this paper. By thorough experimental tests we achieved 96.8% accuracy by using Support Vector Machines with the quadratic kernel. Tie situation analysis revealed that ties were more frequent when using Support Vector Machines together with one-vs-one classification framework and majority voting method than other classification methods.
{"title":"An Application of One-vs-One Method in Automated Taxa Identification of Macroinvertebrates","authors":"H. Joutsijoki","doi":"10.1109/GCIS.2013.26","DOIUrl":"https://doi.org/10.1109/GCIS.2013.26","url":null,"abstract":"Freshwater ecosystems face numerous anthropogenic stressors. For solving long-term effects in aquatic ecosystems due to the human-induced actions, we need to use benthic macro invertebrates instead of a chemical analysis. The use of benthic macro invertebrates requires their identification which is a laborius and cost-intensive task. By means of automated taxa identification of macro invertebrates the costs can be reduced and the identification process can be speeded up. However, the identification demands reliable tools. In this research we extended the use of one-vs-one method from Support Vector Machines into several other classification methods and we examined the tie situation problem which is encountered in one-vs-one method. Overall, we used 15 different classification methods in this paper. By thorough experimental tests we achieved 96.8% accuracy by using Support Vector Machines with the quadratic kernel. Tie situation analysis revealed that ties were more frequent when using Support Vector Machines together with one-vs-one classification framework and majority voting method than other classification methods.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121786849","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}
This paper defines a generalized distance index which reflects the comprehensive factors or multiple objectives in emergency rescue, and presents an improved model of emergency rescue VRP based on the generalized distance, after this discusses several kinds of algorithms based on ant colony optimization. From the methods, research results would better suit the characteristics and requirements of emergency rescue.
{"title":"Study on the Emergency Rescue VRP Based on Ant Colony Optimization and Generalized Distance","authors":"Xiaoyong Tan, Yongmei Ren","doi":"10.1109/GCIS.2013.15","DOIUrl":"https://doi.org/10.1109/GCIS.2013.15","url":null,"abstract":"This paper defines a generalized distance index which reflects the comprehensive factors or multiple objectives in emergency rescue, and presents an improved model of emergency rescue VRP based on the generalized distance, after this discusses several kinds of algorithms based on ant colony optimization. From the methods, research results would better suit the characteristics and requirements of emergency rescue.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134300330","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}
Peng Shuangyun, Yang Kun, W. Jiasheng, Huang Bangmei
China found the first case of AIDS in 1985. Since then, China faces an inefficient controlling and critical situation which is just like other developing countries at past 20years. It can be seen easily from present situation of AIDS transmission that the key of AIDS epidemic prevention and control is on prevention and control of AIDS transmission speed and range. That means that AIDS should implement the "prevention is better than cure" strategy. With information technology in-depth applications in prevention and control of AIDS transmission, information technology provides a new technical mode for prevent and control of AIDS transmission. This paper developed a time-space simulation of AIDS transmission and Assistant Decision Support System which based on the technology of Agent-based modeling (ABM) and Geographic information system (GIS) and took Kunming for example. OBJECTVIES: (1) Constructing AIDS agent model which will simulate the propagation of AIDS, (2) Implementing the functions of spatial analysis, spatial query, spatial statistics, dynamics spatially trend analysis of AIDS transmission, making and administrating of AIDS preparedness, monitoring and early warning analysis of AIDS epidemic, decision support spread of AIDS epidemic in a GIS environment. (3) Helping decision-makers decide on the best strategy to mitigate the spread of infection. Simulation software will help government departments and relevant managers to improve the effectiveness and efficiency of AIDS epidemic prevention.
{"title":"The Research and Development of the Time-Space Simulation of AIDS Transmission and Assistant Decision Support System in Kunming","authors":"Peng Shuangyun, Yang Kun, W. Jiasheng, Huang Bangmei","doi":"10.1109/GCIS.2013.57","DOIUrl":"https://doi.org/10.1109/GCIS.2013.57","url":null,"abstract":"China found the first case of AIDS in 1985. Since then, China faces an inefficient controlling and critical situation which is just like other developing countries at past 20years. It can be seen easily from present situation of AIDS transmission that the key of AIDS epidemic prevention and control is on prevention and control of AIDS transmission speed and range. That means that AIDS should implement the \"prevention is better than cure\" strategy. With information technology in-depth applications in prevention and control of AIDS transmission, information technology provides a new technical mode for prevent and control of AIDS transmission. This paper developed a time-space simulation of AIDS transmission and Assistant Decision Support System which based on the technology of Agent-based modeling (ABM) and Geographic information system (GIS) and took Kunming for example. OBJECTVIES: (1) Constructing AIDS agent model which will simulate the propagation of AIDS, (2) Implementing the functions of spatial analysis, spatial query, spatial statistics, dynamics spatially trend analysis of AIDS transmission, making and administrating of AIDS preparedness, monitoring and early warning analysis of AIDS epidemic, decision support spread of AIDS epidemic in a GIS environment. (3) Helping decision-makers decide on the best strategy to mitigate the spread of infection. Simulation software will help government departments and relevant managers to improve the effectiveness and efficiency of AIDS epidemic prevention.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126147078","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}
The PID controller tuning method based on desired dynamic equation is analyzed on its close-loop control performance and stability. The stable region calculation method for DDE-based PID controller is proposed based on Nyquist stability criterion and open-loop frequency response. Then the influence of tunable parameter k on set point tracking error is analyzed when the order of controller does not consist with the relative degree of process. Simulation indicates that for the linear system with relative degree unknown or higher than two, the tracking error decreases with the growth of parameter k initially and increases afterwards, so an optimal parameter k exists, but the scaling factor l could expand the feasible scope of k largely.
{"title":"Parameter Analysis of DDE-Based PID Controller Tuning Method","authors":"Chen Shihe, Zhong Qing, Z. Xi, Xue Yali","doi":"10.1109/GCIS.2013.32","DOIUrl":"https://doi.org/10.1109/GCIS.2013.32","url":null,"abstract":"The PID controller tuning method based on desired dynamic equation is analyzed on its close-loop control performance and stability. The stable region calculation method for DDE-based PID controller is proposed based on Nyquist stability criterion and open-loop frequency response. Then the influence of tunable parameter k on set point tracking error is analyzed when the order of controller does not consist with the relative degree of process. Simulation indicates that for the linear system with relative degree unknown or higher than two, the tracking error decreases with the growth of parameter k initially and increases afterwards, so an optimal parameter k exists, but the scaling factor l could expand the feasible scope of k largely.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114132698","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}
There is an open question regarding Rough Set theory propsosed by Yun and Qiu(2011), which are how to characterize the conditions for a neighborhood of a data item approximations to form a partition of the universe U of the data by using only their upper and lower operators. The first part of the question has been solved Fan and Hu(2012). In this paper, another part of the question is addressed by a special and simple method, and some significant results are obtained.
关于粗糙集理论，Yun和Qiu(2011)提出了一个悬而未决的问题，即如何仅使用数据项近似的上、下算子来表征其邻域的条件，以形成数据的宇宙U的分区。问题的第一部分已经解决了Fan and Hu(2012)。本文用一种特殊而简单的方法解决了这一问题的另一部分，并取得了一些有意义的结果。
{"title":"Further Discussion of the Problem about Conditions of Neighborhoods Forming a Partition","authors":"Nianbai Fan, Zhenyu Huang, Tao Sun, Yongfu Zhang","doi":"10.1109/GCIS.2013.16","DOIUrl":"https://doi.org/10.1109/GCIS.2013.16","url":null,"abstract":"There is an open question regarding Rough Set theory propsosed by Yun and Qiu(2011), which are how to characterize the conditions for a neighborhood of a data item approximations to form a partition of the universe U of the data by using only their upper and lower operators. The first part of the question has been solved Fan and Hu(2012). In this paper, another part of the question is addressed by a special and simple method, and some significant results are obtained.","PeriodicalId":366262,"journal":{"name":"2013 Fourth Global Congress on Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129780185","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：