2009 8th IEEE International Conference on Cognitive Informatics最新文献_第3页

Design of a novel image block encryption algorithm based on chaotic systems 一种基于混沌系统的图像块加密算法设计

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250747

Jun Peng, Du Zhang, X. Liao

引用次数: 6

Emotion modeling in autonomic computing 自主计算中的情感建模

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250801

Donglei Zhang, Yu Pan, Zhongzhi Shi

引用次数: 2

A unified study on human and Web granular reasoning 人类和网络颗粒推理的统一研究

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250734

Ning Zhong

{"title":"A unified study on human and Web granular reasoning","authors":"Ning Zhong","doi":"10.1109/COGINF.2009.5250734","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250734","url":null,"abstract":"In this talk, we will describe studying on granular reasoning of human and Web in a unified way from the viewpoint of Brain Informatics. We consider Web granular reasoning as an application of human-inspired granular reasoning. As for human granular reasoning, based on the previous studies about basic-level advantage and its reversal effect, we use fMRI/ERP to investigate how the neural system cooperates and coordinates with each other when the starting point locates in the basic level and how the brain modulates and adapts to the change when the starting point switches to a more general level. The key question is “can we find a new cognitive model for developing human-level Web based granular reasoning and problem-solving?” In order to answer this question, we investigate the cognitive mechanism and neural basis of human problem solving and reasoning, for developing new cognitively inspired Web intelligence models. Based on the above results, we will implement Problem Solver Markup Language (PSML) for representing, organizing, retrieving, and selecting Web information sources with multiple levels of granularity, and develop PSML based Web inference engines for personalized wisdom Web problem solving and services.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474061","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

Application of optimized neural network based on particle swarm optimization algorithm in fault diagnosis 基于粒子群优化算法的优化神经网络在故障诊断中的应用

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250692

Bing-xiang Zhong, De-biao Wang, Taifu Li

引用次数: 3

A soft sensor for the surface cleanliness level of ultra-smooth optical component based on the Genetic-algorithm and the Related Vector Machine 基于遗传算法和相关向量机的超光滑光学元件表面洁净度软测量

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250707

Xue Wang, Zhijiang Xie, C. Liu

{"title":"A soft sensor for the surface cleanliness level of ultra-smooth optical component based on the Genetic-algorithm and the Related Vector Machine","authors":"Xue Wang, Zhijiang Xie, C. Liu","doi":"10.1109/COGINF.2009.5250707","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250707","url":null,"abstract":"We presents a series of the key technologies to address the disadvantages of optical surface flaws interference and high-fallout rate when detecting the surface cleanliness of ultra-smooth optical components. We designed a movable clamping fixture and 3-D electric control detection platform for multi-size standby detected optical components. We adopted the Genetic-algorithm to detect the convex of the object to acquire those individually sealed areas which approximately show real particulates in the digital image. We subsequently adopted the Related Vector Machine (RVM) method to recognize particulates. The multi-parameters extracted from geometric space, grey-level space and Gabor-field space separately compose a character vector used for model recognition. The Supported Vector Machine (SVM) and RVM methods are compared using the same samples. Experiments show that RVM possesses better accuracy and requires fewer training samples even if dealing with 19-D problems than other conventional model recognition methods. The research also indicates that the soft sensor system model meets the requirements of surface cleanliness level detection in engineering fields employing ultra-smooth optical components.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128237376","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

Proposal of agent organization method on heterogeneous agent platform for symbiotic computing 基于共生计算的异构agent平台agent组织方法的提出

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250783

Takahiro Uchiya, S. Konno, H. Hara, K. Sugawara, Tetsuo Kinoshita

引用次数: 1

Optimization for Artificial Neural Network with Adaptive inertial weight of particle swarm optimization 基于自适应惯性权的人工神经网络粒子群优化

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250693

Tae-Su Park, Ju-hong Lee, Bumghi Choi

引用次数: 23

The Embodied Communication Prior: A characterization of general intelligence in the context of Embodied social interaction 具身沟通优先:具身社会互动背景下一般智力的表征

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250687

B. Goertzel

引用次数: 10

Accurate indexing and classification for fabric weave patterns using entropy-based approach 基于熵的织物织型准确索引与分类

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250712

Dejun Zheng, G. Baciu, Jinlian Hu

{"title":"Accurate indexing and classification for fabric weave patterns using entropy-based approach","authors":"Dejun Zheng, G. Baciu, Jinlian Hu","doi":"10.1109/COGINF.2009.5250712","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250712","url":null,"abstract":"In current textile design, fabric weave pattern indexing and searching require extensive manual operations. The manual weave pattern classification is not sufficient to give the accurate and precise result and it is time-consuming. There is no such research to index and search for weave pattern specially. In this paper we propose a method to index and search weave patterns. We use pattern clusters, transitions, entropy and Fast Fourier Transform (FFT) directionality as a hybrid approach for the cognitive comparison and classification of weave pattern. There are three common patterns used in textile design. They are plain weave, twill weave and satin weave patterns. First, we classify weave patterns into these three categories according to weave pattern definition and weave point distribution characteristics (weave pattern smoothness and connectivity). Second, we use the FFT to describe the weave point distribution. Finally, we use entropy method to calculate the weave point distribution into a significant index value. Our approach can avoid the problem of pattern duplications in the database. In our experiment, we select and test commonly used weave patterns with our proposed approach. Our experiment results show that our approach can achieve substantially accurate classification.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134005400","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

Adopting Ontology and agent in electronic negotiation service 在电子协商服务中采用本体和代理

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250678

Qiumei Pu, Si-Yao Fu, Yongcun Cao, Z. Hou

引用次数: 2