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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)最新文献

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Designing a hybrid AI system as a forex trading decision support tool 设计一个混合人工智能系统作为外汇交易决策支持工具
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.56
Lean Yu, K. Lai, Shouyang Wang
{"title":"Designing a hybrid AI system as a forex trading decision support tool","authors":"Lean Yu, K. Lai, Shouyang Wang","doi":"10.1109/ICTAI.2005.56","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.56","url":null,"abstract":"In this study, a hybrid artificial intelligent (AI) system integrating neural network and expert system is proposed to support foreign exchange (forex) trading decisions. In this system, a neural network is used to predict the forex price in terms of quantitative data, while an expert system is used to handle qualitative factor and to provide forex trading decision suggestions for traders incorporating experts' knowledge and the neural network's results. The effectiveness of the proposed hybrid AI system is illustrated by simulation experiments","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115368061","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: 17
High performance iris recognition based on LDA and LPCC 基于LDA和LPCC的高性能虹膜识别
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.71
Chia-te Chu, Ching-Han Chen
{"title":"High performance iris recognition based on LDA and LPCC","authors":"Chia-te Chu, Ching-Han Chen","doi":"10.1109/ICTAI.2005.71","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.71","url":null,"abstract":"In this paper, the iris recognition algorithm based on LPCC and LDA is first presented. So far, the two algorithms are not found for iris recognition in literature. In addition, a simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the probabilistic neural network (PNN). Finally, a comparative experiment of existing methods for iris recognition is evaluated on CASIA iris image databases. The proposed algorithms can achieve 100% recognition rates and the result is encouraging","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125555965","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: 51
Agent technology and scientific workflow management in an e-science environment 电子科学环境下的Agent技术与科学工作流管理
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.29
Zhiming Zhao, A. Belloum, P. Sloot, L. Hertzberger
{"title":"Agent technology and scientific workflow management in an e-science environment","authors":"Zhiming Zhao, A. Belloum, P. Sloot, L. Hertzberger","doi":"10.1109/ICTAI.2005.29","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.29","url":null,"abstract":"In e-science environments, scientific workflow management systems (SWMS) hide the integration details among grid resources and allow scientists to prototype an experimental computing system at a high level of abstraction. However, the development of an effective SWMS requires profound knowledge on both application domains and the network programming, and is often time consuming. Agent technologies provide suitable solutions to decompose the control intelligence of flow execution and to encapsulate distributed e-science resources. The work presented in this paper is conducted in the context of the Dutch Virtual Laboratory for e-science (VL-e) project. Agent technologies are proposed to realize generic workflow support","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482856","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
Improving Lotos simulation using constraint propagation 使用约束传播改进Lotos仿真
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.77
Malek Mouhoub, S. Sadaoui
{"title":"Improving Lotos simulation using constraint propagation","authors":"Malek Mouhoub, S. Sadaoui","doi":"10.1109/ICTAI.2005.77","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.77","url":null,"abstract":"Lotos is the ISO formal specification language for describing and verifying concurrent and distributed systems. The simulation or execution of complex Lotos specifications is, however, not always efficient due to the space explosion problem of their corresponding transition systems. To overcome this difficulty in practice, we propose in this paper the integration of constraint propagation techniques into the Lotos simulation. Indeed, constraint propagation techniques are very powerful for solving hard discrete combinatorial problems. Experimental tests, we have conducted on the simulation of several specified combinatorial problems, demonstrate the efficiency of integrating constraint propagation into Lotos simulation","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133088068","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
A dynamic Bayesian network for handling uncertainty in a decision support system adapted to the monitoring of patients treated by hemodialysis 一个动态贝叶斯网络处理不确定性的决策支持系统适应监测患者接受血液透析治疗
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.7
C. Rose, C. Smaili, F. Charpillet
{"title":"A dynamic Bayesian network for handling uncertainty in a decision support system adapted to the monitoring of patients treated by hemodialysis","authors":"C. Rose, C. Smaili, F. Charpillet","doi":"10.1109/ICTAI.2005.7","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.7","url":null,"abstract":"Telemedicine is a mean of facilitating the distribution of human resources and professional competences. It can speed up diagnosis and therapeutic care delivery and allow peripheral healthcare providers to receive continuous assistance from specialized centers. The need of specialized human resources becomes critical with the aging of the population. The treatment of renal failure is an example where telemedicine can help to increase care quality. Over the last decades Bayesian networks has become a popular representation for encoding uncertain expert knowledge. Dynamic Bayesian networks are an extension of Bayesian networks for modeling dynamic processes. We developed a dynamic Bayesian network adapted to the monitoring of the dry weight of patients suffering from chronic renal failure treated by hemodialysis. An experimentation conducted at dialysis units indicated that the system is reliable and gets the approbation of its users","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129916859","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: 36
Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets 非对称模糊集复杂建模的混合学习神经模糊方法
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.73
Chunshien Li, K. Cheng, Jiann-Der Lee
{"title":"Hybrid learning neuro-fuzzy approach for complex modeling using asymmetric fuzzy sets","authors":"Chunshien Li, K. Cheng, Jiann-Der Lee","doi":"10.1109/ICTAI.2005.73","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.73","url":null,"abstract":"A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (LSE) are used in hybrid way to train the system parameters of HLNFS-A to achieve stable and fast convergence. In the HLNFS-A, the premise and the consequent parameters are updated by RO and LSE, respectively. With the proposed asymmetric fuzzy sets (AFS), the neuro-fuzzy system can capture the essence of nonlinear property of dynamic system, when used in the application of modeling. To demonstrate the feasibility and the potential of the proposed approach, an example of chaotic time series for system identification and prediction is given to verify the nonlinear mapping capability of the HLNFS-A. The experimental results show that the proposed HLNFS-A can achieve excellent performance for system modeling","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133365146","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
A very large-scale neighborhood search approach to capacitated warehouse routing problem 有容量仓库路由问题的一种非常大规模邻域搜索方法
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.21
Yue Geng, Yanzhi Li, A. Lim
{"title":"A very large-scale neighborhood search approach to capacitated warehouse routing problem","authors":"Yue Geng, Yanzhi Li, A. Lim","doi":"10.1109/ICTAI.2005.21","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.21","url":null,"abstract":"Warehouse management is an important issue in supply chain management. Among all warehouse operations, \"order-picking\" is the most expensive one and its cost is mainly due to the travelling expenses. In this paper, we study the capacitated warehouse routing problem (CWRP) so as to save the travelling cost, i.e., travelling distance in order-picking. The problem is shown to be strongly NP-hard. However, by noting that the unconstrained routing problem can be tackled by a dynamic programming method, a search heuristic, which is based on the very large-scale neighborhood (VLSN) technique, was designed to solve the capacity-constrained version. We compared the computational results with solutions obtained from branch-and-price method, which are within 1% error bound and identified that our heuristic is efficient in getting high quality solutions of CWRP","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125159619","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
Generating low cost plans under uncertainty and temporal constraints 在不确定性和时间限制下生成低成本计划
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.68
B. Baki, M. Bouzid, A. Ligeza
{"title":"Generating low cost plans under uncertainty and temporal constraints","authors":"B. Baki, M. Bouzid, A. Ligeza","doi":"10.1109/ICTAI.2005.68","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.68","url":null,"abstract":"The paper describes a new approach to generating partially ordered plans with durative actions. Both cost and duration of any task is defined through probability distribution. We propose a planner that generates a plan represented in the form of a partially ordered set of tasks. Each task has a set of temporal constraints, a set of probabilities and a set of constant costs. The planning system generates admissible plans satisfying temporal constraints and allows to select the plan of lowest expected cost","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134127290","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
An unsymmetrical dual cross search algorithm for fast block-matching motion estimation 一种快速块匹配运动估计的非对称双交叉搜索算法
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.38
Haihua Liu, C. Xie, Yi Lei
{"title":"An unsymmetrical dual cross search algorithm for fast block-matching motion estimation","authors":"Haihua Liu, C. Xie, Yi Lei","doi":"10.1109/ICTAI.2005.38","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.38","url":null,"abstract":"In block motion estimation, search patterns with different shapes or sizes have a large impact on the searching speed and quality of performance. In this paper, we propose an unsymmetrical dual cross search algorithm (UDCS), using a small cross-search pattern as the initial step for small motion vector estimation in according to center-biased characteristics of motion-vector distribution. In addition, the algorithm uses an unsymmetrical cross search patterns (UCSP) as the subsequent steps based on direction characteristics of motion vector distribution for large motion vectors search. The improvement of UDCS over DS and CDS can be up to a 70% and 40% gain on speedup, respectively. Experimental results show that the UDCS is much more robust, and provides faster searching than other popular fast block-matching algorithms with the comparative distortions","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133329215","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
Motion prediction in a high-speed, dynamic environment 高速动态环境下的运动预测
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI: 10.1109/ICTAI.2005.87
Yu Sheng, Yonghai Wu
{"title":"Motion prediction in a high-speed, dynamic environment","authors":"Yu Sheng, Yonghai Wu","doi":"10.1109/ICTAI.2005.87","DOIUrl":"https://doi.org/10.1109/ICTAI.2005.87","url":null,"abstract":"The immanent existence of system latency greatly affects the control behavior of a closed-loop system. In order to reduce the influence induced by latency, this paper proposes a systematic method based on neural network to predict the motion of objects in a high-speed, dynamic, and competitive environment. We apply this method to the competition of RoboCup Small Size League, which greatly improves the performance of our control system","PeriodicalId":294694,"journal":{"name":"17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122402037","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
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