{"title":"Stabilization of biped dynamic walking using gyroscopic couple","authors":"Tsz‐Chun Wong, Y. Hung","doi":"10.1109/IJSIS.1996.565057","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565057","url":null,"abstract":"This paper presents a new strategy for dynamic walking machine where a gyroscope mounted on top of the biped is processed to achieve balancing both in the coronal and sagittal planes. A gait is devised and simulation results are provided to show the feasibility of proposed balancing method.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114566905","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}
{"title":"A simplified model for simulation and transformation of speech","authors":"B. Story, I. Titze, D. Wong","doi":"10.1109/IJSIS.1996.565085","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565085","url":null,"abstract":"This paper explores a model that reduces speech production to the specification of four time varying parameters; F1 and F2, voice fundamental frequency (Fo), and a relative amplitude of the voice. The trajectory of the first two formants, F1 and F2, is treated in a series of coordinate pairs that are mapped from the F1F2 plane into a two-dimensional plane of \"coefficients\". These coefficients are multipliers of two empirically-based orthogonal basis vectors which, when added to a neutral vowel area function, will produce a new area function with the desired locations of F1 and F2. Thus, area functions and voice parameters extracted at appropriate time intervals can be fed into a speech simulation model to recreate the original speech. A transformation of the speech can also be imposed by manipulating the area function and voice characteristics prior to the recreation of speech by simulation. The model has initially been developed for vowel-like speech utterances but the effect of consonants on the F1F2 trajectory is also briefly addressed.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127862029","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}
T. Ohkawa, D. Namihira, N. Komoda, A. Kidera, H. Nakamura
{"title":"Protein structure classification by structural transformation","authors":"T. Ohkawa, D. Namihira, N. Komoda, A. Kidera, H. Nakamura","doi":"10.1109/IJSIS.1996.565047","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565047","url":null,"abstract":"Protein structure classification plays an important role in understanding the relationships among structure and sequence. Recently, as the number of known protein structure are increasing steeply, automatic classification is highly required. This paper presents a new method of classification of protein folds based on the structural similarities between a pair of proteins from the viewpoint of the secondary structural elements. The similarity can be evaluated through the structural transformation from one protein to the other, which is composed of a set of predefined primitive operations. Since the similarity is scored with the total cost of the transformation, the method requires no threshold value. The effectiveness of the method was empirically demonstrated through the experiments using the data in the Brookhaven Protein Data Bank.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759188","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}
C. Tresp, M. Jagar, M. Moser, J. Hiltner, M. Fathi
{"title":"A new method for image segmentation based on fuzzy knowledge","authors":"C. Tresp, M. Jagar, M. Moser, J. Hiltner, M. Fathi","doi":"10.1109/IJSIS.1996.565073","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565073","url":null,"abstract":"Within this work a method for knowledge based fuzzy image segmentation is introduced. The basic idea comes from the field of automated medical MRI segmentation where the well-known standard methods have proven insufficient to solve the task. Therefore, a method especially for the problems concerning vagueness in medical imaging has been developed. Beside the improved segmentation procedures, the development has a general impact on the conventional model of image analysis.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132662430","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}
{"title":"Coordination factors in adaptive scheduling for soft real-time cooperative tasks: a performance study","authors":"F. Daoud","doi":"10.1109/IJSIS.1996.565062","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565062","url":null,"abstract":"In the complex work environments of modern industrial and administrative organisations, the problems of articulating distributed activities are at a high order of complexity. To master these complexities, we adopt a reflective system architecture. With such architecture the necessary adaptability for complex real-time systems can be attained. The advantage of the coordination mechanism (help) defined in this paper is to allow multi-agent systems to reason about their performance in terms of missed soft deadlines and completeness and to adapt to dynamic environments.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134527208","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}
{"title":"Adaptive network based fuzzy control of a dynamic biped walking robot","authors":"Changjiu Zhou, K. Jagannathan","doi":"10.1109/IJSIS.1996.565058","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565058","url":null,"abstract":"In this paper, we proposed a adaptive-network-based fuzzy inference system (ANFIS) control strategy based on a hierarchy of walking planning level, gait generating level and joint control level, which do not require detailed kinematics or dynamic biped models. The ANFIS controller, which enhances Sugeno fuzzy controller with self-learning capability from adaptive network, can combine the qualitative knowledge in fuzzy rules and be fine-tuned by online learning. The effectiveness of the proposed ANFIS joint control was verified through a 5-link biped robot simulation. We demonstrated that the designed hierarchical control system can use the experimental input-output data pairs for the biped robot learning and walking with dynamic balance. It is also shown that the further online self-learning capability of the ANFIS controller can markedly improve the dynamic walking performance of the biped robot.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116559713","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}
{"title":"Adaptive crossover operator based on locality and convergence","authors":"Myung-Sook Ko, Tae-Won Kang, C. Hwang","doi":"10.1109/IJSIS.1996.565046","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565046","url":null,"abstract":"In this paper, we propose an adaptive crossover operator (ACO) for function optimization. ACO performs local improvement by restricting the crossover range in adaptive way. This approach is based on bias value which restrict the location of crossover point. Bias value is computed by the fitness function value performance ratio, and the number of generations. As generations progress, the portion of chromosome to apply ACO becomes much smaller. ACO scheme can reduce the computation complexity and escape from getting stuck local optimum and also by maintaining diversity if can maintain the balance between exploration and exploitation. Several experiments have been carried our to compare the performance of adaptive scheme and standard scheme. Compared to simple GA, the proposed method is faster and more accurate in finding global optimum.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130201702","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}
{"title":"Alternate path reasoning in intelligent instrument fault diagnosis for gas chromatography","authors":"K. Adair, S. Hruska, J. Elling","doi":"10.1109/IJSIS.1996.565056","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565056","url":null,"abstract":"Intelligent instrument fault diagnosis is addressed using expert networks, a hybrid technique which blends traditional rule-based expert systems with neural network style training. One of the most difficult aspects of instrument fault diagnosis is developing an appropriate rule base for the expert network. Beginning with an initial set of rules given by experts, a more accurate representation of the reasoning process can be found using example data. A methodology for determining alternate paths of reasoning and incorporating them into the expert network is presented. Our technique presupposes interaction and cooperation with the expert, and is intended to be used with the assistance of the expert to incorporate knowledge discovered from the data into the intelligent diagnosis tool. Tests of this methodology are conducted within the problem domain of fault diagnosis for gas chromatography. Performance statistics indicate the efficacy of automating the introduction of alternate path reasoning into the diagnostic reasoning system.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"79 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131175337","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}
{"title":"Talking about what we think we see: natural language processing for a real-time virtual environment","authors":"J. Gurney, Elizabeth Klipple, Clare R. Voss","doi":"10.1109/IJSIS.1996.565086","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565086","url":null,"abstract":"In this paper we discuss some aspects of our development of a natural language (NL) processing system to be used in a virtual reality (VR) environment. Our group is pursuing two lines of work: the Natural Language and Virtual Reality (NLVR) project and the natural language research program. The latter addresses basic research problems in NL processing and the former is an implementation project. The two are, in many ways, parallel and overlapping. The research generates hypotheses that we want to test and the NLVR testbed provides new problems for research.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130708207","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}
{"title":"Distributed knowledge-base: adaptive multi-agents approach","authors":"J. S. Mertoguno","doi":"10.1109/IJSIS.1996.565054","DOIUrl":"https://doi.org/10.1109/IJSIS.1996.565054","url":null,"abstract":"This paper studies an approach of using multi-agents theory to construct an adaptive knowledge based system. To represent the knowledge, frame base (graph) knowledge representation has been chosen. The driving force of this study is the intention of having a distributed (possibly across the net) adaptive knowledge base. The challenge of developing an adaptive knowledge base depends on how to evolve the knowledge (adaptivity) and how to control the evolution (maintain the quality of the knowledge). In this paper the manifestation of both the issues discussed on our model is addressed.","PeriodicalId":437491,"journal":{"name":"Proceedings IEEE International Joint Symposia on Intelligence and Systems","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124755424","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}