7th International Conference on Hybrid Intelligent Systems (HIS 2007)最新文献_第2页

Software Effort Estimation using Machine Learning Techniques with Robust Confidence Intervals 使用具有稳健置信区间的机器学习技术进行软件工作量估计

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.56

P. L. Braga, Adriano Oliveira, S. Meira

引用次数: 58

Indoor Localisation of Humans, Objects, and mobile Robots with RFID Infrastructure 基于RFID基础设施的人、物体和移动机器人的室内定位

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.25

J. Koch, Jens Wettach, E. Bloch, K. Berns

{"title":"Indoor Localisation of Humans, Objects, and mobile Robots with RFID Infrastructure","authors":"J. Koch, Jens Wettach, E. Bloch, K. Berns","doi":"10.1109/HIS.2007.25","DOIUrl":"https://doi.org/10.1109/HIS.2007.25","url":null,"abstract":"The need for robust indoor localisation for all types of entities has been under continuous research by the ubiquitous community. Intelligent environments have to be supported with contextual information in order to facilitate intelligent behaviour. These contextual information include the location of humans and objects within the particular environment. Intelligent environments can be living areas with home automation, smart industrial plants, sensor-equipped office areas and indoor-emergency applications. So far technical solutions are either quite expensive or lack of precision for robust usage as components in intelligent service federations. We present rather low-cost localisation systems with great scalability based on active and passive RFID technology to locate humans, mobile service robots and objects of the daily use. The trade-off between technical effort and costs on the one hand and sufficient data accuracy for the application on the other hand is discussed. A motivation of our scenario, the technical concept and solution as well as the implementation and the integration that so far have been performed will be presented. Current prototypes of the proposed system are already being tested in a project aiming on development of smart assisted living environments.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403430","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: 52

Evolutionary Approaches to Solve an Integrated Lot Scheduling Problem in the Soft Drink Industry 用进化方法求解软饮料行业综合批调度问题

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.35

C. Toledo, P. França, R. Morabito, A. Kimms

引用次数: 0

Hybrid Intelligent and Adaptive Sensor Systems with Improved Noise Invulnerability by Dynamically Reconfigurable Matched Sensor Electronics 基于动态可重构匹配传感器电子的混合智能自适应传感器系统

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.8

S. Lakshmanan, A. König

引用次数: 1

Model and algorithms for the Multicommodity Traveling Salesman Problem 多商品旅行商问题的模型与算法

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.40

J. Sarubbi, G. Mateus, H. Luna, G. J. Miranda

引用次数: 6

Fuzzy Neural Network Model Using a Fuzzy Learning Vector Quantization with the Relative Distance 基于相对距离模糊学习向量量化的模糊神经网络模型

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.46

Yong-Soo Kim, Sung-ihl Kim

引用次数: 5

Evaluating the Performance of a Biclustering Algorithm Applied to Collaborative Filtering - A Comparative Analysis 一种用于协同过滤的双聚类算法的性能评价——比较分析

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.55

P. Castro, F. O. França, Hamilton M. Ferreira, F. V. Zuben

引用次数: 33

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines 多类支持向量机进化设计中几种评价函数的比较

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.59

Ana Carolina Lorena, A. Carvalho

引用次数: 1

Exploration of Pareto Frontier Using a Fuzzy Controlled Hybrid Line Search 基于模糊控制混合线搜索的Pareto边界探索

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.31

C. Grosan, A. Abraham

{"title":"Exploration of Pareto Frontier Using a Fuzzy Controlled Hybrid Line Search","authors":"C. Grosan, A. Abraham","doi":"10.1109/HIS.2007.31","DOIUrl":"https://doi.org/10.1109/HIS.2007.31","url":null,"abstract":"This paper proposes a new approach for multicriteria optimization which aggregates the objective functions and uses a line search method in order to locate an approximate efficient point. Once the first Pareto solution is obtained, a simplified version of the former one is used in the context of Pareto dominance to obtain a set of efficient points, which will assure a thorough distribution of solutions on the Pareto frontier. In the current form, the proposed technique is well suitable for problems having multiple objectives (it is not limited to bi-objective problems) and require the functions to be continuous twice differentiable. In order to assess the effectiveness of this approach, some experiments were performed and compared with two well known population-based meta-heuristics. When compared to the population-based meta-heuristic, the proposed approach not only assures a better convergence to the Pareto frontier but also illustrates a good distribution of solutions. We propose a fuzzy logic controller to adapt the parameter required to control the distribution of solutions in the spreading phase. Our goal is to find a good distribution of solutions as quick as possible. From a computational point of view, both stages of the line search converge within a short time (average about 150 milliseconds for the first stage and about 20 milliseconds for the second stage). Apart from this, the proposed technique is very simple, easy to implement to solve multiobjective problems.","PeriodicalId":359991,"journal":{"name":"7th International Conference on Hybrid Intelligent Systems (HIS 2007)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132459234","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: 1

Variable Ordering in the Conditional Independence Bayesian Classifier Induction Process: An Evolutionary Approach 条件独立贝叶斯分类器归纳过程中的变量排序:一种进化方法

7th International Conference on Hybrid Intelligent Systems (HIS 2007) Pub Date : 2007-09-17 DOI: 10.1109/HIS.2007.67

Estevam Hruschka, E. B. D. Santos, Sebastian D. C. de O. Galvão

引用次数: 1