2009 8th IEEE International Conference on Cognitive Informatics最新文献_第2页

Fractal modelling of residues in linear predictive coding of speech 语音线性预测编码中残差的分形建模

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250762

W. Kinsner, E. Vera

引用次数: 3

Research of cable tension sensor with difference structure based on magnetoelastic effect 基于磁弹性效应的差分结构索张力传感器研究

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250729

Dedong Tang, Shang-zun Yuan, Xin-ping Yan, Pengfei Li

{"title":"Research of cable tension sensor with difference structure based on magnetoelastic effect","authors":"Dedong Tang, Shang-zun Yuan, Xin-ping Yan, Pengfei Li","doi":"10.1109/COGINF.2009.5250729","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250729","url":null,"abstract":"With a great deal of steel cables used in the various important machines and architecture establishments, health monitoring the cable tension becomes more and more important to ensure those equipments or establishments' safety in normal working. Contrasted with the method of vibration frequency and strain gages, the method of measurement steel cables tension based on magnetoelastic effect has a lot of merits, such as its frequency of dynamic response is high, its life-span is long and its capacity of protecting over-loading is strong etc., It meets the requirement of the health monitoring. But the structure of sensor is sleeve structure that measured steel cable serves as the core of primary and secondary solenoids. This structure makes fixing and maintenance difficult, and the change of temperature strongly influences measurement results, the purpose of compensating temperature error by using the temperature compensation curve is not satisfactory. In this article, the principle of cable tension sensor based on magnetoelastic effect is expounded; the theory of temperature influence is researched; the difference structure by single bypass excitation is designed; its magnetic loop is analyzed; the system of experiment is designed; and the experiments of pulling tension are carried on. The experiment results indicate that the structure of sensor is feasible, its errors of repetition are less than 0.15%, which meets the requirement of measurement.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"5 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":"124000111","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

Identifying Zigzag based Perceptually Important Points for indexing financial time series 识别基于之字形的感知重要点为索引金融时间序列

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250725

C. Phetking, M. Sap, A. Selamat

引用次数: 4

A general knowledge representation model for the acquisition of skills and concepts 用于获取技能和概念的通用知识表示模型

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.4018/jssci.2010070101

C. Ramírez, Benjamín Valdés

引用次数: 23

Flexible distributed system for symbiotic computing 用于共生计算的柔性分布式系统

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250780

Takahide Maemura, S. Fujita, Tetsuo Kinoshita

引用次数: 0

Engineering computer architectures for cognitive robotics - the CR/SARAMA model 认知机器人的工程计算机体系结构——CR/SARAMA模型

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250798

John-Thones Amenyo

引用次数: 1

Reducing the cognitive complexity of business process models 降低业务流程模型的认知复杂性

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250717

V. Gruhn, R. Laue

引用次数: 44

Establishing a roadmap and metrics for conscious machines development 建立有意识机器开发的路线图和指标

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250795

R. Moreno, Agapito Ledezma, A. Sanchis

{"title":"Establishing a roadmap and metrics for conscious machines development","authors":"R. Moreno, Agapito Ledezma, A. Sanchis","doi":"10.1109/COGINF.2009.5250795","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250795","url":null,"abstract":"From the point of view of Cognitive Informatics, consciousness can be considered as a grand integration of a number of cognitive processes. Intuitive definitions of consciousness generally involve perception, emotions, attention, self-recognition, theory of mind, volition, etc. Due to this compositional definition of the term consciousness it is usually difficult to define both what is exactly a conscious being and how consciousness could be implemented in artificial machines. When we look into the most evolved biological examples of conscious beings, like great apes or humans, the vast complexity of observed cognitive interactions in conjunction with the lack of comprehensive understanding of low level neural mechanisms makes the reverse engineering task virtually unreachable. With the aim to effectively address the problem of modeling consciousness at a cognitive level, in this work we propose a concrete developmental path in which key stages in the progressive process of building conscious machines are identified and characterized. Furthermore, a method for calculating a quantitative measure of artificial consciousness is presented. The application of the proposed framework is illustrated with the comparative study of different software agents designed to compete in a first-person shooter video game.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"31 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":"121249020","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

The ‘conscious pilot’ dendritic synchrony moves through the brain (like a computer worm) to mediate consciousness “有意识的飞行员”树突同步在大脑中移动(像电脑蠕虫一样)来调节意识

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250786

S. Hameroff

{"title":"The ‘conscious pilot’ dendritic synchrony moves through the brain (like a computer worm) to mediate consciousness","authors":"S. Hameroff","doi":"10.1109/COGINF.2009.5250786","DOIUrl":"https://doi.org/10.1109/COGINF.2009.5250786","url":null,"abstract":"The brain is viewed as a computer in which sensory processing, control of behavior and other cognitive functions emerge from ‘neurocomputation’ in parallel networks of perceptron-like neurons. In each neuron, dendrites receive and integrate synaptic inputs to a threshold for axonal firing as output — ‘integrate-and-fire’. Neurocomputation in axonal-dendritic synaptic networks successfully accounts for non-conscious (auto-pilot) cognitive brain functions. When cognitive functions are accompanied by consciousness, neurocomputation is accompanied by 30 to 90 Hz gamma synchrony EEG. Gamma synchrony derives primarily from neuronal groups linked by dendritic-dendritic gap junctions, forming transient syncytia (‘dendritic webs’) in input/integration layers oriented sideways to axonal-dendritic neurocomputational flow. As gap junctions open and close, a gamma-synchronized dendritic web can rapidly change topology, evolve and move through the brain (like a benevolent computer worm might move through computer circuits) as a spatiotemporal envelope performing collective integration and volitional choices correlating with consciousness. The ‘conscious pilot’ is a metaphorical description for a mobile, gamma-synchronized dendritic web as vehicle for a conscious agent/pilot which experiences and assumes control of otherwise non-conscious auto-pilot neurocomputation. Simulations will be shown and computer science applications of a self-organizing mobile agent moving through input/integration layers of computational networks will be discussed.","PeriodicalId":420853,"journal":{"name":"2009 8th IEEE International Conference on Cognitive Informatics","volume":"39 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":"127652167","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

Particle swarm optimization with individual decision 个体决策的粒子群优化

2009 8th IEEE International Conference on Cognitive Informatics Pub Date : 2009-06-15 DOI: 10.1109/COGINF.2009.5250684

Guohui Jiao, Z. Cui, J. Zeng

引用次数: 1