发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
A kind of rational preference 一种理性的偏好
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599811
Zhenzhen Wang, Hancheng Xing
{"title":"A kind of rational preference","authors":"Zhenzhen Wang, Hancheng Xing","doi":"10.1109/COGINF.2010.5599811","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599811","url":null,"abstract":"Existing preference models are generally based on utility functions and study rational behaviors of humans. However human preferences are actually accompanied with irrational factors. Psychologists Tversky and Kahneman have given some examples that indicate humans are simply irrational by the standards of the utility axioms. How to depict some non-rational decision of human — that is, by what function this is done — is a crucial component of this subject of human (ir)rationality. In this paper, we apply filter and ultrafilter tools in nonstandard analysis to represent human preferences on two levels, intuitively and subconsciously. We indicate how this preference modeling using ultrafilter notion can reflect the combination of human rationality and irrationality. In particular, we show in what cases human preferences can be called non-rationality.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"57 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":"134536218","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
Human-computer interaction with roles: A cognitive method for interaction 角色的人机交互:一种交互的认知方法
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599701
Haibin Zhu, Ming Hou, Wenqian Shang
{"title":"Human-computer interaction with roles: A cognitive method for interaction","authors":"Haibin Zhu, Ming Hou, Wenqian Shang","doi":"10.1109/COGINF.2010.5599701","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599701","url":null,"abstract":"As more is revealed regarding the nature of computer technologies and informatics, it is becoming clear that the interaction between people and computers is actually the interaction between two kinds of intelligences, i.e., natural intelligence and artificial intelligence. Through the application of rational thought and logic inferences, this paper attempts to clarify terminologies related to interaction through step-by-step definitions; discuss the nature of human-computer interactions; argue that shared models are the most important aspect for interactions, and propose that roles can be taken as an appropriate shared model for human-computer interactions.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"32 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":"131447406","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 data hiding scheme for color image using BTC compression technique 一种基于BTC压缩技术的彩色图像数据隐藏方案
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599793
Yung-Chen Chou, Hon-Hang Chang
{"title":"A data hiding scheme for color image using BTC compression technique","authors":"Yung-Chen Chou, Hon-Hang Chang","doi":"10.1109/COGINF.2010.5599793","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599793","url":null,"abstract":"Data hiding technique is using a cover medium to conceal secret data and delivering it to receiver over public computer networks for secret data delivery. A color image is a good cover medium because a color image consists of more redundant space than a gray scale image or halftone image, that means, a color image can be used to carry more secret data. Block truncation coding (BTC) is a lossy compression technique that can significantly reduce the size of digital images with acceptable visual quality. Traditional color BTC compression method uses three bitmaps to compress a color image for saving the storage cost. Chang et al. proposed a data hiding method to conceal secret data into BTC compression code. Chang et al. use a genetic algorithm (GA) to generate a common bit-map to improve the compression rate then uses the common bit-map to increase embedding capacity in a color image. However, Chang et al.'s method is time consuming for generating a common bit-map. In this paper, a novel data hiding method is presented to save the computation cost for common bit-map generation and improve the visual quality of stego images. From the experimental results, the proposed method not only successfully conceals secret data into compression code but also saves the computation cost of common bit-map generation.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"6 23 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":"132373104","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
Incremental discovery of probabilistic rules from clinical databases based on rough set theory 基于粗糙集理论的临床数据库概率规则的增量发现
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599718
S. Tsumoto
{"title":"Incremental discovery of probabilistic rules from clinical databases based on rough set theory","authors":"S. Tsumoto","doi":"10.1109/COGINF.2010.5599718","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599718","url":null,"abstract":"Extending concepts of rule induction methods based on rough set theory, we introduce a new approach to knowledge acquistion, which induces probabilistic rules incrementally, called PRIMEROSE-INC (Probabilistic Rule Induction Method based on Rough Sets for Incremental Learning Methods). This method first uses coverage rather than accuracy, to search for the candidates of rules, and secondly uses accuracy to select from the candidates. This system was evaluated on clinical databases on headache and meningitis. The results show that PRIMEROSE-INC induces the same rules as those induced by PRIMEROSE, which extracts rules from all the datasets, but that the former method requires much computational resources than the latter approach.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"11 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":"123673864","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
The research on predictive control based on characteristic model in die-less drawing 基于特征模型的无模拉深预测控制研究
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599813
X. Ban, Peng Zhou, Chunhua Liu, Tian Jin
{"title":"The research on predictive control based on characteristic model in die-less drawing","authors":"X. Ban, Peng Zhou, Chunhua Liu, Tian Jin","doi":"10.1109/COGINF.2010.5599813","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599813","url":null,"abstract":"During the process of die less drawing, the relationship between shape of metamorphic zone and technical parameter is very complicate. It is difficult to determine the mathematical model of die less drawing shaping zone because the technical parameters is very coupling. After analyzed the data of experiment zone deeply, the article realized predictive functional control algorithm based on the characteristic model. Using the control strategy creates a new way to study deformation zone model of die-less drawing processing.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"9 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":"122734056","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
Hypoxia EEG analysis based on phase synchronization theory 基于相位同步理论的缺氧脑电图分析
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599708
Na Wang, Rulong Wang, Shangwu Zhu, Yuanzhe Zheng, Jin Zhang
{"title":"Hypoxia EEG analysis based on phase synchronization theory","authors":"Na Wang, Rulong Wang, Shangwu Zhu, Yuanzhe Zheng, Jin Zhang","doi":"10.1109/COGINF.2010.5599708","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599708","url":null,"abstract":"Although there is abundant information in the electroencephalogram (EEG), it's hard to analyze and extract it. To solve this problem, phase synchronization theory is researched and used to analyze hypoxia EEG in this paper. A spatial filter method is used to preprocess hypoxia EEG. Phase locking value (PLV) is used to evaluate the extent of phase synchronism among hypoxia EEG. Analysis results show that there is linear relationship between hypoxia extent and phase synchronization extent. Otherwise, phase synchronization among different brain zones varies differently with hypoxia extent.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"40 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":"121275634","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
Granular computing and human-centricity in computational intelligence 计算智能中的颗粒计算和以人为中心
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.4018/jssci.2010100102
W. Pedrycz
{"title":"Granular computing and human-centricity in computational intelligence","authors":"W. Pedrycz","doi":"10.4018/jssci.2010100102","DOIUrl":"https://doi.org/10.4018/jssci.2010100102","url":null,"abstract":"Information granules and their computing, which give rise to the framework of Granular Computing, deliver interesting opportunities to endow processing with an important facet of human-centricity. This facet directly implies that the underlying processing supports non-numeric data inherently associated with the variable perception of humans and generates results being seamlessly comprehended by users. Given that systems, which are quite commonly become distributed and hierarchical, managing granular information in hierarchical and distributed architectures is of growing interest, especially when invoking mechanisms of knowledge generation and knowledge sharing. The outstanding feature of human centricity of Granular Computing along with essential fuzzy set-based constructs constitutes the crux of our study. We elaborate on some new directions of knowledge elicitation and quantification realized in the setting of fuzzy sets. With this regard, we concentrate on an idea of knowledge-based clustering, which aims at the seamless realization of the data-expertise design of information granules. It is also emphasized that collaboration and reconciliation of locally available knowledge give rise to the concept of higher type information granules. The other interesting directions enhancing human centricity of computing with fuzzy sets, deals with non-numeric, semi-qualitative characterization of information granules (fuzzy sets) as well as inherent evolving capabilities of associated human-centric systems. We discuss a suite of algorithms facilitating a qualitative assessment of fuzzy sets, formulate a series of associated optimization tasks guided by well-formulated performance indexes, and discuss the underlying essence of the resulting solutions.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"41 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":"125075125","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
Regularized orthogonal forward feature selection for spectral data 光谱数据的正则正交正演特征选择
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599829
Fang Du, Yanjun Li, Tie-Jun Wu
{"title":"Regularized orthogonal forward feature selection for spectral data","authors":"Fang Du, Yanjun Li, Tie-Jun Wu","doi":"10.1109/COGINF.2010.5599829","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599829","url":null,"abstract":"Feature selection for spectral data can be highly beneficial both to improve the predictive ability of the model and to greatly enhance its interpretation. This paper presents an efficient approach based on regularized orthogonal forward selection. The selection procedure is a direct optimization of model generalization capability by sequentially minimizing the leave-one-out (LOO) test error. Moreover, a regularization method is incorporated in order to further enforce model sparsity and generalization capability. The introduced algorithm is computationally very efficient, yet obtains a good feature subset that ensures the model generalization and interpretation. Comparisons with some of the existing state-of-art feature selection methods on several real data sets show that our algorithm performs fairly well with respect to computational efficiency and predict accuracy.","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":"126605359","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
A k-hyperplane-based neural network for non-linear regression 基于k-超平面的非线性回归神经网络
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599808
Hongmei He, Zengchang Qin
{"title":"A k-hyperplane-based neural network for non-linear regression","authors":"Hongmei He, Zengchang Qin","doi":"10.1109/COGINF.2010.5599808","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599808","url":null,"abstract":"For the time series prediction problem, the relationship between the abstracted independent variables and the response variable is usually strong non-linear. We propose a neural network fusion model based on k-hyperplanes for non-linear regression. A k-hyperplane clustering algorithm is developed to split the data to several clusters. The experiments are done on an artificial time series, and the convergence of k-hyperplane clustering algorithm and neural network gradient training algorithm is examined. The dimension of inputs affect the clustering performance very much. Neural network fusion can get some compensation in performance. It is shown that the prediction performance of the model for the time series is very good. The model can be further exploited for many real applications.","PeriodicalId":365083,"journal":{"name":"9th IEEE International Conference on Cognitive Informatics (ICCI'10)","volume":"23 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":"116602156","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
Application of the fuzzy Discrete Sliding Variable-structure System on switched reluctance motor 模糊离散滑动变结构系统在开关磁阻电机上的应用
9th IEEE International Conference on Cognitive Informatics (ICCI'10) Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599799
Yan Li, Zhiming Dong, Bing-xiang Zhong, L. Ai-hua
{"title":"Application of the fuzzy Discrete Sliding Variable-structure System on switched reluctance motor","authors":"Yan Li, Zhiming Dong, Bing-xiang Zhong, L. Ai-hua","doi":"10.1109/COGINF.2010.5599799","DOIUrl":"https://doi.org/10.1109/COGINF.2010.5599799","url":null,"abstract":"This paper has thoroughly discussed the application of the Discrete Sliding Variable-structure System (DSVS) on SRM, and analyzes the design of the switch function and the control law. This paper shows the system flow chart of fuzzy sliding mode controller, the choice of the parameters of fuzzy sliding-mode controller. Finally, simulation result shows that Fuzzy Sliding Mode Variable Structure Control can effectively reduce the system overshoot.","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":"116580914","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
首页 上一页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信
小红书