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1997 IEEE International Conference on Neural Networks (ICNN 97)

作者： Fern, A Musavi, MT Miranda, J Intelligent Systems Laboratory Dept. of Electrical and Computer Engineering University of Maine Orono ME 04469 United States

ISBN: (纸本)0780341236

This paper describes a local network approach for the automatic extraction of drainage networks from Digital Terrain Elevation Data (DTED). The extraction of drainage networks from topological data is one of the more important uses of such information. An extracted network may be used in many applications, such as determining drainage network metrics or selecting control points for image registration and mapping applications. In this research, a network of local processing units has been designed and applied to the automatic extraction of drainage networks. The results show that the network described is a promising tool for the extraction of drainage networks from DTED.

关键词： Extraction

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Pulp digester level prediction using multiresolution networks of locally active units

Pulp digester level prediction using multiresolution network...

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1997 IEEE International Conference on Neural Networks (ICNN 97)

作者： Fern, A Miranda, J Musavi, MT Coughlin, DR Intelligent Systems Laboratory Dept. of Electrical and Computer Engineering University of Maine Orono ME 04469 United States

ISBN: (纸本)0780341236

Complex processes such as those found in some manufacturing plants have many dynamically related variables which interact to produce a system response. The goal of system identification is to construct a model of a complex process, based on observations, in order to predict future system responses and help improve its control, In this research, neural networks constructed with multiresolution locally active units are used to model the content level of a paper plant pulp digester. This problem represents a real world multidimensional dynamic system for which a predictive model does not yet exist. Two local networks are considered which use radial basis functions (RBF) and utilize the concept of multiresolution analysis (MRA). The networks differ in the way each generates an MRA candidate node set, from which the most important nodes are selected for the approximation wing a fast orthogonal search (FOS) algorithm. The MRA networks are compared to each other and are also shown to produce approximations using fewer nodes than those obtained using a standard RBF architecture. This report demonstrates that locally active MRA networks produce promising results for the system identification task of digester level prediction.

关键词： Neural networks

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Sensible agents

Sensible agents

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IEEE International Conference on systems, Man and Cybernetics

作者： K.S. Barber A. Goel T.J. Graser T.H. Liu R.H. Macfadzean C.E. Martin S. Ramaswamy The Laboratory for Intelligent Processes and Systems The Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA University of Texas at Austin Austin TX US

The practical deployment of distributed agent-based systems mandates that each agent behave sensibly. The paper focuses on the development of flexible, responsive, adaptive systems based on sensible agents. Sensible agents perceive, process, and respond based on an understanding of both local and system goals. Each agent is capable of (1) deliberative or reactive planning and execution of one or more domain-specific service/task, (2) maintaining and interpreting knowledge about states, events, and goals related to itself, other agents, and the environment, and (3) adapting its behavior according to its understanding of its own local goals and overall system goals. The paper addresses the above issues in the context of applied semiotics, a field that analyzes and develops the formal tools of knowledge acquisition, representation, organization, generation, enhancement, communication, and utilization. A sensible agent architecture has been developed where each agent is composed of five modules: a self-agent modeler, an external agent modeler, an action planner, an autonomy reasoner, and a conflict resolution advisor.

关键词： Adaptive systems Laboratories intelligent systems intelligent agent Multiagent systems Context

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Automatic extraction of drainage networks from digital terrain elevation data: a local network approach

Automatic extraction of drainage networks from digital terra...

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International Conference on Neural Networks

作者： A. Fern M.T. Musavi J. Miranda Intelligent Systems Laboratory Department of Electrical & Computer Engineering University of Maine Orono ME USA

This paper describes a local network approach for the automatic extraction of drainage networks from digital terrain elevation data (DTED). The extraction of drainage networks from topological data is one of the more important uses of such information. An extracted network may be used in many applications, such as determining drainage network metrics or selecting control points for image registration and mapping applications. In this research, a network of local processing units has been designed and applied to the automatic extraction of drainage networks. The results show that the network described is a promising tool for the extraction of drainage networks from DTED.

关键词： Data mining Terrain mapping Level measurement computer networks Image segmentation Earth Spatial resolution intelligent systems intelligent networks Laboratories

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Pulp digester level prediction using multiresolution networks of locally active units

Pulp digester level prediction using multiresolution network...

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International Conference on Neural Networks

作者： A. Fern J. Miranda M.T. Musavi D.R. Coughlin Intelligent Systems Laboratory Department of Electrical & Computer Engineering University of Maine Orono ME USA

Complex processes such as those found in some manufacturing plants have many dynamically related variables which interact to produce a system response. The goal of system identification is to construct a model of a complex process, based on observations, in order to predict future system responses and help improve its control. In this research, neural networks constructed with multiresolution locally active units are used to model the content level of a paper plant pulp digester. This problem represents a real world multidimensional dynamic system for which a predictive model does not yet exist. Two local networks are considered which use radial basis functions (RBF) and utilize the concept of multiresolution analysis (MRA). The networks differ in the way each generates an MRA candidate node set from which the most important nodes are selected for the approximation using a fast orthogonal search (FOS) algorithm. The MRA networks are compared to each other and are also shown to produce approximations using fewer nodes than those obtained using a standard RBF architecture. This report demonstrates that locally active MRA networks produce promising results for the system identification task of digester level prediction.

关键词： Function approximation System identification Predictive models Artificial neural networks computer aided manufacturing Neural networks Testing intelligent manufacturing systems Laboratories Manufacturing processes

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An approach for the teleoperator control of the Stanford/JPL Dexterous Hand

An approach for the teleoperator control of the Stanford/JPL...

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IEEE International Conference on systems, Man and Cybernetics

作者： S. Iqbal Omar A. Hernandez R. McLauchlan R. Challoo Intelligent Systems Laboratory Department of Electrical Engineering and Computer Science Texas A and M University Kingsville Kingsville TX USA

Developing a telerobot control system for a dexterous hand requires the integration of two very complex systems. The paper presents an approach for controlling the Stanford/JPL Dexterous Hand through a communications network, using an EXOS Dexterous Hand Master. The two major problems to be solved were: mapping of the output of the Hand Master into the corresponding input for the Dexterous Hand Controller, and delivery of the output of the Hand Master to the input of the Dexterous Hand Controller through a communications network in a timely manner. The approach consists of the following steps: division of the system into subsystems, determining the characteristics of individual subsystems, development of suitable mapping algorithms, development of an ancillary graphics subsystem to facilitate the integration of subsystems, and integrating the subsystems using a step by step approach. This approach resulted in process in which the analog signals from the Dexterous Hand Master were conditioned and then converted to digital integers. The integers were mapped into integers representing half degrees. The half degree integers were transmitted to Stanford/JPL Dexterous Hand Controller in data packets via an Ethernet 802.3 data link. The destination node of the data link extracted the half degree integers and input them to another subsystem which mapped them into Dexterous Hand Controller commands. These commands were used to control the Dexterous Hand. The process was implemented in the laboratory and used to successfully control a Stanford/JPL Dexterous Hand by an EXOS Dexterous Hand Master through an Ethernet data link.

关键词： Teleoperators Manipulators Fingers Communication system control Control systems Humans Exoskeletons Sensor phenomena and characterization Communication networks Ethernet networks

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Object oriented analysis, modeling, and simulation of a notional air defense system

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SIMULATION 1996年第1期66卷 5-21页

作者： Barcio, BT Ramaswamy, S Macfadzean, R Barber, KS The Laboratory for Intelligent Processes and Systems Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712-108 USA

This paper describes the analysis, modeling, and simulation of a notional air defense system using SMOOCHES (State Machines for Object-Oriented, Concurrent, Hierarchical engineering Specifications). SMOOCHES is an object-oriented environment based on hierarchical state machines and extensions to Statecharts, specifically developed as an environment to specify, model, simulate and analyze/evaluate distributed, reactive systems. Using a high level system specification language, an object-oriented, herarchical state specification of a radar tracking system with realistic constraints is derived. A graphical statechart representation of the tracking system behavior is also derived and implemented within the SMOOCHES environment.

关键词： object-oriented techniques software specification state machines distributed reactive systems software systems software engineering

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An experience-based assembly sequence planner for mechanical assemblies

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IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION 1996年第2期12卷 252-267页

作者： Swaminathan, A Barber, KS Laboratory for Intelligent Processes and Systems Department of Electncal and Computer Engineering University of Technology Austin TX USA University of Texas at Austin Austin TX US Dept. of Electr. & Comput. Eng. Texas Univ. Austin TX USA

This paper presents an approach to the assembly sequence planning problem based on a ''plan reuse'' philosophy. Most of assembly planning research in the past has attempted to completely plan each problem from scratch, This research shows that stored cases of basic assembly configurations can be applied to a given assembly problem. It is observed that the number of such basic assembly configurations is quite small, In the first phase of planning (EVALUATOR phase), the assembly is divided into a number of constituent configurations, which are called ''loops.'' These act as subgoals in its search for solutions (RETRIEVER phase). Plans retrieved for all the subgoals are fused into a set of plans that are consistent with the constraints implied by each plan (MODIFIER and COMPOSITER phases), Application specific constraints on the assembly are explicitly handled in the final phase of planning (POSTPROCESSOR phase).

关键词： Assembly Humans Spatial databases Production planning Control systems Production systems Job shop scheduling Manufacturing Routing Process planning

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A new time series classification approach

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SIGNAL PROCESSING 1996年第2期54卷 191-199页

作者： Plataniotis, KN Androutsos, D Venetsanopoulos, AN Lainiotis, DG Department of Electrical and Computer Engineering Digital Signal & Image Processing Laboratory University of Toronto 10 King's College Rd. Toronto Ontario M5S 3G4 Canada Intelligent Systems Technology 3207 S. Hwy. A1A Melbourne Beach FL-32951 USA

A new, robust and computationally attractive approach to the problem of time series classification is discussed in this paper. Both the Bayesian as well as a new adaptive classification scheme for source selection are... 详细信息

关键词： time series classification neural networks logistic function

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A virtual environment for construction and analysis of manufacturing prototypes 15

A virtual environment for construction and analysis of manuf...

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ASME 1995 15th International computers in engineering Conference, CIE 1995 and the ASME 1995 9th Annual engineering Database Symposium collocated with the ASME 1995 Design engineering Technical Conferences

作者： Chuter, Christopher J. Ramaswamy, S. Barber, K.S. Laboratory for Intelligent Processes and Systems Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712-1084 United States

ISBN: (纸本)9780791817018

The building of a virtual environment for the construction, analysis, and design of a three dimensional virtual manufacturing prototype is discussed. An agent-based framework is used to specify the visual environment. The environment is built to be flexible enough to support research efforts in scheduling, planning, and behavior modeling. The implementation consists of a heterogeneous, distributed interactive virtual environment using the virtual environment tool, DIVE. © 1995 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Virtual reality

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