2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)最新文献_第3页

Adaptive animation generation using web content mining 使用web内容挖掘的自适应动画生成

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368804

Kaveh Hassani, Won-sook Lee

{"title":"Adaptive animation generation using web content mining","authors":"Kaveh Hassani, Won-sook Lee","doi":"10.1109/EAIS.2015.7368804","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368804","url":null,"abstract":"Creating 3D animation is a labor-intensive and time-consuming process requiring designers to learn and utilize a complex combination of menus, dialog boxes, buttons and manipulation interfaces for a given stand-alone animation design software. On the other hand, conceptual simplicity and naturalness of visualizing imaginations from lingual descriptions motivates researchers for developing automatic animation generation systems using natural language interfaces. In this research, we introduce an interactive and adaptive animation generation system that utilizes data-driven techniques to extract the required common-sense and domain-specific knowledge from web. This system is capable of creating 3D animation based on user's lingual commands. It uses the user interactions as a relevance feedback to learn the implicit design knowledge, correct the extracted knowledge, and manipulate the dynamics of the virtual world in an active and incremental manner. Moreover, system is designed based on a multi-agent methodology which provides it with distributed processing capabilities and cross-platform characteristics. In this paper, we will focus on information retrieval agent which is responsible for extracting numeric data utilized in object attributes, spatiotemporal relations, and environment dynamics using web mining techniques.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132119976","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

An entropy-based method for estimating demographic trends 一种基于熵的估计人口趋势的方法

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368781

Guangshe Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang

{"title":"An entropy-based method for estimating demographic trends","authors":"Guangshe Zhao, Yi Xu, Guoqi Li, Zhao-Xu Yang","doi":"10.1109/EAIS.2015.7368781","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368781","url":null,"abstract":"In this paper, an entropy-based method is proposed to forecast the demographical changes of countries. We formulate the estimation of future demographical profiles as a constrained optimization problem, anchored on the empirically validated assumption that the entropy of age distribution is increasing in time. The procedure of the proposed method involves three stages, namely: 1) Prediction of the age distribution of a country's population based on an “age-structured population model”; 2) Estimation the age distribution of each individual household size with an entropy-based formulation based on an “individual household size model”; and 3) Estimation the number of each household size based on a “total household size model”. The last stage is achieved by projecting the age distribution of the country's population (obtained in stage 1) onto the age distributions of individual household sizes (obtained in stage 2). The effectiveness of the proposed method is demonstrated by feeding real world data, and it is general and versatile enough to be extended to other time dependent demographic variables.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276641","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

A multi-population firefly algorithm for dynamic optimization problems 动态优化问题的多种群萤火虫算法

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368777

F. Özsoydan, A. Baykasoğlu

{"title":"A multi-population firefly algorithm for dynamic optimization problems","authors":"F. Özsoydan, A. Baykasoğlu","doi":"10.1109/EAIS.2015.7368777","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368777","url":null,"abstract":"In traditional optimization problems, problem domain, constraints and problem related data are assumed to remain stationary throughout the optimization process. However, numerous real life optimization problems are indeed dynamic in their nature due to unpredictable events such as due date changes, arrival of new jobs or cancellations. In the literature, a problem with one of these features is referred as dynamic optimization problem (DOP). In contrast to static optimization problems, in DOPs, the aim is not only to find the optimum of the current configuration of a problem environment, but to track and find the changing optima. The field of dynamic optimization is a hot research area and it has attracted a remarkable attention of researchers. A considerable number of recent studies on DOPs usually employs bio-inspired metaheuristic algorithms, which are efficient on a wide range of static optimization problems. In the present work, a multi-population firefly algorithm with chaotic maps is proposed to solve DOPs. The tests are conducted on the well known moving peaks benchmark problem. In regard to the results, the proposed algorithm is found as a promising approach for the present problem.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124495417","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: 22

Language independent rule based classification of printed & handwritten text 基于语言独立规则的印刷和手写文本分类

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368806

T. Saba, A. Almazyad, A. Rehman

{"title":"Language independent rule based classification of printed & handwritten text","authors":"T. Saba, A. Almazyad, A. Rehman","doi":"10.1109/EAIS.2015.7368806","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368806","url":null,"abstract":"Handwriting in data entry forms/documents usually indicates user's filled information that should be treated differently from the printed text. In Arab world, these filled information are normally in English or Arabic. Secondly, classification approaches are quite different for machine printed and script. Therefore, prior to segmentation & classification, text distinction into Printed & script entries is mandatory. In this research, the dilemma of the language independent text distinction in multilingual data entry forms is addressed. Our main focus is to distinguish the machine printed text and script in multilingual data entry forms that are language independent. The proposed approach explore new statistical and structural features of text lines to classify them into separate categories. Accordingly a set of classification rules is derived to explicitly differentiate machine printed and handwritten entries, written in any language. Additional, novelty of the proposed approach is that no training/training data is required rather text is discriminated on basis of simple rules. Promising experimental results with 90 % accuracy exhibit that proposed approach is simple and robust. Finally, the scheme is independent of language, style, size, and fonts that commonly co-exist in multilingual data entry forms.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133219381","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: 22

Fuzzy logic based controller for a single-link flexible manipulator using modified invasive weed optimization 基于模糊逻辑的单连杆柔性机械臂改进入侵杂草优化控制器

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368800

H. Kasdirin, M. Assemgul, M. Tokhi

{"title":"Fuzzy logic based controller for a single-link flexible manipulator using modified invasive weed optimization","authors":"H. Kasdirin, M. Assemgul, M. Tokhi","doi":"10.1109/EAIS.2015.7368800","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368800","url":null,"abstract":"This paper presents development of a fuzzy logic control (FLC) system with bio-inspired optimization algorithm for reference tracking control of a single-link flexible manipulator. In the proposed controller, a modified invasive weed optimization (MIWO) algorithm is employed to optimize the tuning parameters of fuzzy logic controller. Invasive weed optimization (IWO) is a bio-inspired search algorithm that mimics how weeds colonize a certain area in nature. Although the IWO algorithm is good at exploring a certain search space, it is found less effective in getting accurate results. The algorithm is modified by applying local knowledge in the standard deviation of its reproduction of offspring in each generation to narrow the accuracy and improve the local search ability. The MIWO algorithm is tested with five benchmark functions and the result are compared with those of the original invasive weed optimization algorithm. The original IWO and MIWO are used as parameter tuners for the developed FLC mechanism to evaluate the effectiveness of the modified algorithm. The performances of the tuned controllers based on MIWO and IWO are evaluated based on the hub-able output of the flexible manipulator system. The overall results show that the proposed MIWO algorithm gives better performance in comparison to its original predecessor algorithm.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"1887 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132837770","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

Adaptive genetic Pareto ranking based on clustering 基于聚类的自适应遗传Pareto排序

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368780

L. Ferariu, Corina Cimpanu

{"title":"Adaptive genetic Pareto ranking based on clustering","authors":"L. Ferariu, Corina Cimpanu","doi":"10.1109/EAIS.2015.7368780","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368780","url":null,"abstract":"The proposed Pareto ranking scheme is meant for the selection of parents and survivors in multi-objective evolutionary optimizations. Commonly, the Pareto methods use just the dominance analysis in order to provide the partial sorting of solutions, without taking into account the specific strength of the conflict detected between objectives. This can generate undesired effects, such as the loss of diversity or the excessive spread of solutions induced by too weakly or too strongly conflicting criteria, respectively. For counteracting these disadvantages, the suggested approach adapts the ranking policies with respect to the distribution of the population in the objective space. The first innovation of the paper resides in the way in which the layout of the available solutions is examined. The analysis is based on clustering, followed by the Pareto-ranking of the resulted centers. The centers belonging to the best fronts are then used to depict the preferred searching area and to decide if the diversity of the solutions requires improvement. In this regard, the second contribution supports the diversification of the preferred solutions via rank adjustments. The suggested ranking algorithm is experimentally verified on several synthetic multi-objective optimizations and a multi-objective robot path planning. The testing scenarios exemplify different layouts of the Pareto fronts for diverse conflictive relationships between the two objectives.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133720350","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

A case study on collective intelligence based on energy flow 基于能量流的集体智慧案例研究

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368805

Kaveh Hassani, A. Asgari, Won-sook Lee

{"title":"A case study on collective intelligence based on energy flow","authors":"Kaveh Hassani, A. Asgari, Won-sook Lee","doi":"10.1109/EAIS.2015.7368805","DOIUrl":"https://doi.org/10.1109/EAIS.2015.7368805","url":null,"abstract":"In this paper, we propose a stochastic scheme for modeling a multi-species prey-predator artificial ecosystem in order to investigate the influence of energy flow on ecosystem lifetime and stability. Inhabitants of this environment are a few species of herbivore and carnivore birds. In this model, collective behavior emerges in terms of flocking, breeding, competing, resting, hunting, escaping, seeking, and foraging. Ecosystem is defined as a combination of prey and predator species with inter-competition among species within the same level of the food chain, and intra-competition among those belonging to different levels of the food chain. Some energy variables are also introduced as functions of behaviors to model the energy within the ecosystem. Experimental results of 11,000 simulations analyzed by Cox univariate analysis and hazard function suggest that only five corresponding energy variables out of eight aforementioned behaviors influence the ecosystem lifetime. Also, results of survival analysis show that among pairwise interactions between energy factors, only two interactions affect the system lifetime, including interaction between flocking and seeking energies, and interaction between flocking and hunting energies. These results match the observations of real life birds, which use flocking behavior for flexible movements, efficient foraging, social learning, and reducing predation risks.","PeriodicalId":325875,"journal":{"name":"2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115628330","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

Ultrasonic sensor-based human detector using one-class classifiers 基于超声传感器的单类分类器人体探测器

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368797

Sonia, A. Tripathi, R. Baruah, S. B. Nair

引用次数: 18

Inductive transfer assist-control for human-interface steering device 人机界面转向装置的感应转移辅助控制

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368795

R. Antunes, L. Palma, F. Coito, H. Duarte-Ramos

引用次数: 3

Opportunities for Moodle data and learning intelligence in Virtual Environments 在虚拟环境中获得Moodle数据和学习智能的机会

2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS) Pub Date : 2015-12-01 DOI: 10.1109/EAIS.2015.7368776

Bianca-Maria Corsatea, Stuart Walker

引用次数: 5