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9th IEEE International Conference on Cognitive Informatics (ICCI'10)最新文献

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Attitude synchronization of spacecraft formation using neural network 基于神经网络的航天器编队姿态同步
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599764
Haibo Min, F. Sun, Shicheng Wang, Jinshen Zhang, Zhijie Gao
{"title":"Attitude synchronization of spacecraft formation using neural network","authors":"Haibo Min, F. Sun, Shicheng Wang, Jinshen Zhang, Zhijie Gao","doi":"10.1109/COGINF.2010.5599764","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599764","url":null,"abstract":"We address the problem of high-precision attitude synchronization in a leader-follower spacecraft formation architecture using robust integral of the sign of the error (RISE) based Neural Network (NN) technique. Based on the relative attitude dynamic model of the spacecraft formation, RISE is introduced to approximate the dynamics of the follower as well as various external disturbances. It is shown that the errors of the entire formation closed-loop are Asymptotical Stable (AS), which possesses significant advantage over the typical Uniformly Upper Bounded (UUB) property of most NN controllers in high-precision attitude synchronization tasks. Numerical simulation is provided to illustrate the effectiveness of the proposed algorithm.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131878715","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
Concept reduction on interval formal concept analysis 区间形式概念分析的概念约简
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599784
Zhou Wen, Zhao Yan, L. Yao, Zhong Zhaoman
{"title":"Concept reduction on interval formal concept analysis","authors":"Zhou Wen, Zhao Yan, L. Yao, Zhong Zhaoman","doi":"10.1109/COGINF.2010.5599784","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599784","url":null,"abstract":"A concept clustering method on interval concept lattice is introduced in this paper. Based on the distance between two formal concepts defined, the clustering method is presented. Clustering can reduce the size of interval concept lattice to get better interval lattice structure which can be easier to understand. Experimental results show that the reduction algorithm has reasonable performance on the complexity.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167294","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 mismatch PCR-RFLP primer design for SNP genotyping using genetic algorithm 用遗传算法设计错配PCR-RFLP引物用于SNP基因分型
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599752
Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsueh-Wei Chang
{"title":"A mismatch PCR-RFLP primer design for SNP genotyping using genetic algorithm","authors":"Cheng-Hong Yang, Yu-Huei Cheng, Li-Yeh Chuang, Hsueh-Wei Chang","doi":"10.1109/COGINF.2010.5599752","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599752","url":null,"abstract":"Designing a feasible primer pair is an important work before performing polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) for single nucleotide polymorphism (SNP) genotyping. However, in many cases, no restriction enzymes are available to discriminate the target SNP, thus rendering the primer design useless. We propose a method that uses a genetic algorithm (GA) to search for optimal mutagenic PCR-RFLP primers and employ the core of SNP-RFLPing to reliably mine available restriction enzymes. The in silico simulation of the proposed method in the SNPs of the SLC6A4 gene showed that it is capable of designing stable mismatch PCR-RFLP primers which fit the common primer constraints and that it can provide available restriction enzymes.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133356692","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
Personalized search based on learning user click history 基于学习用户点击历史的个性化搜索
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599689
Chengcai Chen, Kequan Lin, Heshan Li, Shoubin Dong
{"title":"Personalized search based on learning user click history","authors":"Chengcai Chen, Kequan Lin, Heshan Li, Shoubin Dong","doi":"10.1109/COGINF.2010.5599689","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599689","url":null,"abstract":"Nowadays, Web Search Engines have become an indispensable tool for people to find internet resources. However, current Web Search Engines still have many drawbacks. They serve all people in the same way, regardless of the individual needs of each user, which obviously cannot satisfy most of the users. Personalized Search is proposed to solve this problem and to improve the retrieve quality. This paper deeply investigates the approach for personalized search, and has proposed a practical and effective method.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"4 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133204917","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: 13
Novel exponential stability of reaction-diffusion cohen-grossberg neural networks 反应-扩散cohen-grossberg神经网络的指数稳定性
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599678
Zhanshan Wang, Jidong Wang, Zhenwei Liu
{"title":"Novel exponential stability of reaction-diffusion cohen-grossberg neural networks","authors":"Zhanshan Wang, Jidong Wang, Zhenwei Liu","doi":"10.1109/COGINF.2010.5599678","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599678","url":null,"abstract":"Global exponential stability problem is studied for a class of continuous-time reaction-diffusion Cohen-Grossberg neural networks with distributed delays. By decomposing the distributed-delay matrix and using matrix inequality technique and under some suitable assumptions on amplification function, a novel delay-kernel-dependent exponential stability condition for the equilibrium point of reaction-diffusion Cohen-Grossberg neural networks with distributed delays, and the delay kernel information and the amplification function information are completely involved in the stability condition. The obtained results are easy to check and some of them are less conservative than the existing results in the literatures. Some remarks are given to show the advantages over the previous results.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116866374","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
Applying River Formation Dynamics to the Steiner Tree Problem 河流形成动力学在斯坦纳树问题中的应用
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599822
Pablo Rabanal, Ismael Rodríguez, F. Rubio
{"title":"Applying River Formation Dynamics to the Steiner Tree Problem","authors":"Pablo Rabanal, Ismael Rodríguez, F. Rubio","doi":"10.1109/COGINF.2010.5599822","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599822","url":null,"abstract":"River Formation Dynamics (RFD) is a heuristic optimization algorithm based on copying how water forms rivers by eroding the ground and depositing sediments. After drops transform the landscape by increasing/decreasing the altitude of places, solutions are given in the form of paths of decreasing altitudes. Decreasing gradients are constructed, and these gradients are followed by subsequent drops to compose new gradients and reinforce the best ones. We apply this method to solve the Steiner Tree Problem (STP), a well-known NP-hard problem having applications to areas like telecommunications routing and VLSI design among many others. We show that the gradient orientation of RFD makes it specially suitable for solving this problem, and we report the results of several experiments where RFD is applied to benchmark graphs from the SteinLib Testdata Library [1].","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123499968","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: 18
Hypothesis generation and data quality assessment through association mining 基于关联挖掘的假设生成和数据质量评估
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599828
Ping Chen, Walter Garcia
{"title":"Hypothesis generation and data quality assessment through association mining","authors":"Ping Chen, Walter Garcia","doi":"10.1109/COGINF.2010.5599828","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599828","url":null,"abstract":"Association mining aims to find valid correlations among data attributes, and has been widely applied to many areas of data analysis. In this paper we present a semantic network based association analysis model including three spreading activation methods, and apply this model to assess the quality of a dataset, and generate semantically valid new hypotheses for further investigation. We evaluate our approach on a real public health dataset, the Heartfelt study, and the experiment shows promising results.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123732988","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: 14
Quantifying randomness of clinician mobility and interaction in emergency department using entropy 利用熵量化急诊科临床医生流动性和相互作用的随机性
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599688
Min Zhang, Zhe Li, Xiao‐Ping Kong, Jiajie Zhang, V. Patel
{"title":"Quantifying randomness of clinician mobility and interaction in emergency department using entropy","authors":"Min Zhang, Zhe Li, Xiao‐Ping Kong, Jiajie Zhang, V. Patel","doi":"10.1109/COGINF.2010.5599688","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599688","url":null,"abstract":"Entropy is a fundamental measure of randomness in a time series of data. In this paper, we use entropy to quantify the randomness of events in the workflow in an emergency department (ED). We collect data using Radio Identification (RID) sensor system and compute the entropy of mobility and interaction events generated from behaviors of each tagged clinician. The result shows that the event data bears low entropy values and thus contains underlying regular patterns of interaction and mobility of clinicians.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125513041","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
Tourism domain ontology construction from the unstructured text documents 从非结构化文本文档构建旅游领域本体
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599723
Suqin Tang, Zixing Cai
{"title":"Tourism domain ontology construction from the unstructured text documents","authors":"Suqin Tang, Zixing Cai","doi":"10.1109/COGINF.2010.5599723","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599723","url":null,"abstract":"Ontologies is playing an increasingly important role in knowledge management and the Semantic Web. The tourism information ontology is becoming a core research field in the realm of information retrieval. An ontology construction method based on Formal Concept Analysis (FCA) to extract domain ontology from unstructured text documents is proposed. Under the framework of our ontology construction method, the knowledge engineers could reach a new ontology of tourism information that was demonstrated as useful to support their ontology construction tasks.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128510471","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: 7
Computer vision vs. human vision 计算机视觉vs.人类视觉
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599750
Bo Zhang
{"title":"Computer vision vs. human vision","authors":"Bo Zhang","doi":"10.1109/COGINF.2010.5599750","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599750","url":null,"abstract":"In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. But by recent information processing techniques, these kinds of features cannot be detected by computers robustly so that in computer vision it's still difficult to process visual information as humans do. Computers have to process visual information in data space formed by the robustly detectable but less meaningful features such as colors, textures etc. Therefore, the processing methodology in computers is quite different from that in human beings. In the talk, we will address the main principle of the image recognition (classification) approach in computer vision, its seedtime, main results and the difficulty faced recently. From digital cameras, there is a huge amount of 2D-image data. In computer object recognition (or classification), the data should be transformed into an object-invariant inner representation. In order to solve the problem, we need two key techniques, i.e., a robust detector and an invariant descriptor. People have attempted to solve the two key techniques for a long time but so far they didn't find any efficient solution. Human visual performances are still superior to that of computer vision greatly in many aspects. So as a future direction, computer vision should learn some things from neuroscience and brain science. We will discuss what computer vision can learn from human vision and how it will be affected by the new interdisciplinary research. We may still face many difficulties in the future.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129406709","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: 31
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