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Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)最新文献

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Shape recognition and orientation detection for industrial applications using ultrasonic sensors 用于工业应用的超声传感器的形状识别和方向检测
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685464
E. G. Sarabia, J. R. Llata, J. Arce, J. P. Oria
{"title":"Shape recognition and orientation detection for industrial applications using ultrasonic sensors","authors":"E. G. Sarabia, J. R. Llata, J. Arce, J. P. Oria","doi":"10.1109/IJSIS.1998.685464","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685464","url":null,"abstract":"This paper deals with a method for recognizing the form and orientation of pieces. This system uses a single pair of ultrasonic sensors to distinguish different objects and their orientations, for a set of previously learned objects. This technique utilizes the feature that small variations of position produce small variations in the value of the echo envelope parameters characterizing the ultrasonic signal. Then, neural nets are applied to learn and retrieve the necessary data in order to obtain the real position of the object. Several NN structures have been tested in order to find those that provide the best results. This system has been evaluated with symmetrical geometrical figures. Subsequently, the application was utilized in a robotic system.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757631","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: 12
Three tier architecture for controlling space life support systems 用于控制空间生命维持系统的三层结构
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685444
D. Schreckenghost, P. Bonasso, D. Kortenkamp, D. Ryan
{"title":"Three tier architecture for controlling space life support systems","authors":"D. Schreckenghost, P. Bonasso, D. Kortenkamp, D. Ryan","doi":"10.1109/IJSIS.1998.685444","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685444","url":null,"abstract":"Managing life support for remote facilities requires maintaining environmental conditions beneficial to humans and plants, and managing resources like water, product gases, and food. Appropriate allocation and coordination of these tasks among humans, robots, and life support systems is important for efficient operations. The need for operational flexibility and reactivity combined with the need to reduce crew workload and the high cost of failure to manage resources effectively suggests automating low level control tasks and assisting humans in strategic planning and resource management. The three tier (3T) layered architecture is well-suited for such automated control. The planner automates task coordination across subsystems contending for resources. The separation of deliberative tasks from reactive tasks enables appropriate human intervention in autonomous operations. At each tier, mechanisms are provided for flexible response to novel events. We demonstrated the effectiveness of 3T to control life support systems for NASA's Lunar/Mars Life Support Test Project.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122237978","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: 44
The dynamic predictive memory architecture: integrating language with task execution 动态预测内存体系结构:将语言与任务执行相结合
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685446
W. Fitzgerald, R. Firby
{"title":"The dynamic predictive memory architecture: integrating language with task execution","authors":"W. Fitzgerald, R. Firby","doi":"10.1109/IJSIS.1998.685446","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685446","url":null,"abstract":"The dynamic predictive memory architecture (DPMA) is an architecture for integrating natural language understanding with dynamic task execution. We describe the architecture and its components, as well as issues which became evident while implementing a control station for a free-flying camera.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124881517","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: 12
Back propagation in realistic parallel environment 现实并行环境下的反向传播
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685414
D. Strupl, Roman Neruda
{"title":"Back propagation in realistic parallel environment","authors":"D. Strupl, Roman Neruda","doi":"10.1109/IJSIS.1998.685414","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685414","url":null,"abstract":"Various ways of parallelizing the back propagation algorithm (BP) are studied on the bulk-synchronous parallel machine (BSP) like parallel model. Optimal number of processors and criteria for choosing the right task decomposition are presented. Theoretical results are verified in the parallel virtual machine (PVM) environment on a cluster of workstations.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130450131","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
Recognition of Arabic phonetic features using neural networks and knowledge-based system: a comparative study 利用神经网络和基于知识的系统识别阿拉伯语语音特征的比较研究
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685485
S. Selouani, J. Caelen
{"title":"Recognition of Arabic phonetic features using neural networks and knowledge-based system: a comparative study","authors":"S. Selouani, J. Caelen","doi":"10.1109/IJSIS.1998.685485","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685485","url":null,"abstract":"This paper deals with a new indicative features recognition system for Arabic which uses a set of a simplified version of sub-neural-networks (SNN). For the analysis of speech, the perceptual linear predictive technique is used. The ability of the system has been tested in experiments using stimuli uttered by 6 native Algerian speakers. The identification results have been confronted to those obtained by the SARPH knowledge based system. Our interest goes to the particularities of Arabic such as geminate and emphatic consonants and the duration. The results show that SNN achieved well in pure identification while in the case of phonologic duration the knowledge-based system performs better.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327650","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: 19
Gene family identification network design 基因家族识别网络设计
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685426
C. Wu, S. Shivakumar
{"title":"Gene family identification network design","authors":"C. Wu, S. Shivakumar","doi":"10.1109/IJSIS.1998.685426","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685426","url":null,"abstract":"The exponential accumulation of molecular data will facilitate the discovery of new knowledge by using information embedded within families of homologous sequences. As an approach to the management and analysis of sequence data, we have developed an integrated system, termed GeneFIND (Gene Family Identification Network Design), for database searching against gene families. It provides rapid and accurate protein family identification by combining global and motif sequence similarities and incorporating ProClass family information. Multilevel filters are used, starting with the MOTIFIND neural network and BLAST search, followed by SSEARCH alignment motif pattern match, hidden Markov modeling of motifs and ClustalW motif alignment. GeneFIND has been implemented as a full-scale system for the classification of more than 1000 ProSite and 3000 PIR families. It is used to identify thousands of new family members and is well suited for genomic sequence analysis.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123929826","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
Formal model for real time diagnosis of dynamic systems 动态系统实时诊断的形式化模型
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685448
G. Fiol-Roig
{"title":"Formal model for real time diagnosis of dynamic systems","authors":"G. Fiol-Roig","doi":"10.1109/IJSIS.1998.685448","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685448","url":null,"abstract":"The task of real-time causal diagnosis of disturbances has been conceived traditionally from a procedural point of view, in the sense that the attention is focused on developing efficient procedures capable of evaluating the state of some variables of the system so that real time objectives imposed were satisfied. The main handicap of these methods lies in the difficulty to plan the diagnostic process, particularly when a high number of variables are to be observed model-based diagnosis constitutes a more complete approach to the topic. Considering the availability of a simulated model of the system, the task of the diagnostic procedure is now performed on the simulated model, facilitating the observation and handling of the variables of the system. However, the absence of languages allowing us to develop simulated models of real systems limits the use of this theory to simple cases. An approach to real-time causal diagnosis of dynamic systems based on a pre-established planning of any possible diagnostic situation in such a way real-time objectives are satisfied, is presented in this work. Artificial intelligence techniques, particularly inductive methods have been considered according to two essential steps: formulation of the causal diagnostic model, specifying the particular characteristics of the problem in hand; and generation of an information structure according to the characteristics of the formulated model, whose performance will guarantee the diagnostic objectives.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131020058","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
An egocentric approach to machine intelligence 以自我为中心的机器智能方法
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685460
R. Pienaar, J. J. Kruger
{"title":"An egocentric approach to machine intelligence","authors":"R. Pienaar, J. J. Kruger","doi":"10.1109/IJSIS.1998.685460","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685460","url":null,"abstract":"Intimate to the functioning and behavior of intelligent systems is the manner in which information is represented internally. The conventional approach to intelligent system design assumes a particular bias in the manner by which this information is represented. Typically, this is characterized by an \"abstract\" or \"objective\" design methodology which holds that intelligence is not a function of the physical nature of the system. Such an approach suffers from several shortcomings, most notably problems relating to scaling and complexity. Recent physiological research, however, has demonstrated that physical bodily form is a fundamental building block in the organization of mammalian cortical structures. Consequently, this article explores such a biologically motivated \"subjective\" or \"egocentric\" approach to system design, and demonstrates its utility in a simple robot arm control problem.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123280223","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
Evolution of neural networks for the detection of breast cancer 用于乳腺癌检测的神经网络的进化
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685413
W. Land, L. Albertelli, Y. Titkov, P. Kaltsatis, G. Seburyano
{"title":"Evolution of neural networks for the detection of breast cancer","authors":"W. Land, L. Albertelli, Y. Titkov, P. Kaltsatis, G. Seburyano","doi":"10.1109/IJSIS.1998.685413","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685413","url":null,"abstract":"This paper is based on a modified form of Fogel's evolutionary programming approach for evolving neural networks for the detection of breast cancer using fine needle aspirate data. A data visualization and preprocessing description is given, which not only depicts the benign and malignant raw data in graphical interpretative form but also includes a \"symmetrized dot pattern\" of this same data which may be used to corroborate the classification provided by the network. These evolved architectures routinely achieved a greater than 96% classification accuracy while, at the same time, achieving a much smaller type II error (calling a malignant sample benign). These results were obtained with different data sets using the same architecture, and were also obtained with the same data set over a family of evolved architectures.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147169","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: 15
Coal molecular structure construction by genetic algorithm 基于遗传算法的煤分子结构构建
Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174) Pub Date : 1998-03-21 DOI: 10.1109/IJSIS.1998.685427
S. Ibayashi, T. Ohkawa, N. Komoda
{"title":"Coal molecular structure construction by genetic algorithm","authors":"S. Ibayashi, T. Ohkawa, N. Komoda","doi":"10.1109/IJSIS.1998.685427","DOIUrl":"https://doi.org/10.1109/IJSIS.1998.685427","url":null,"abstract":"It has been clarified that the coal molecular consists of the following three components: the aromatic class cluster, the bridge connecting the aromatic class cluster, and the end permutation radical. In this paper, we propose a method of constructing the molecular structure using the genetic algorithm (GA). In this method, the chromosomes are expressed in the form of graphs. At the crossover operation, partial graph of one parent is kept and the nodes in the rest graph inherit connectivity of nodes from the other parent. The evaluation function is determined based on the heuristics of chemists as \"the density of the coal molecular is averagely uniform\". From the result of experiments carried out with structures constructed from real coal data, it is shown that our method is effective to estimate the coal molecular structure.","PeriodicalId":289764,"journal":{"name":"Proceedings. IEEE International Joint Symposia on Intelligence and Systems (Cat. No.98EX174)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116633936","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
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