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International Workshop on Computational Electronics

作者： H. Kurino T. Ono N. Kuroishi T. Kawata N. Miyakawa M. Fukase R. Aibara M. Koyanagi Intelligent System Design Laboratory Department of Machine Intelligent and Systems Engineering Graduate School of Engineering University of Tohoku Sendai Japan Advanced Technology & Engineering Center Fuji Xerox Company Limited Faculty of Science and Technology Hirosaki University Information Processing Center Hiroshima Institute of Technology

We have developed a new parallel processor system specific for the MC analysis, to dramatically reduce the calculation time. Our parallel processor system is based on ring bus architecture. The RISC micro processor chip, which contains a ring bus interface unit (RBIU), a floating point arithmetic unit (FAU) and so on, was also developed for our system. Speed up ratio compared with a single processor reached to 13.5 at 23 PEs.

关键词： Monte Carlo methods Design engineering Analytical models Computational modeling Master-slave intelligent systems Machine intelligence Poisson equations System analysis and design systems engineering and theory

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Low-Temperature Epitaxial Growth of IN-Situ HeavilY B-Doped Si 1-x Ge x , Films Using Ultraclean LPCVD

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MRS Online Proceedings Library 1998年第1期533卷 349-354页

作者： A. Morrya M. Sakuraba T. Matsuura J. Murota I. Kawashima N. Yabumoto Laboratory for Electronic Intelligent Systems RIEC Tohoku University Sendai Japan On leave from Kokusai Electric Co. Ltd. Sendai Research Lab. Sendai Japan Atsugi Material Analysis Center NIT Advanced Technology Corp. Atsugi Japan

In-situ heavy doping of B into Si1-xGex epitaxial films on the Si(100) substrate have been investigated at 550°C in a SiH4(6.0Pa)-GeH4(0.1−6.0Pa)-B2H6(1.25×10−5−3.75× 10−2Pa)-H2(17-24Pa) gas mixture by using an ultraclean hot-wall low-pressure CVD system. The deposition rate increased with increasing GeH4 partial pressure, and it decreased with increasing B2H6 partial pressure only at the higher GeH4 partial pressure. As the B2H6 partial pressure increased, the Ge fraction scarcely changed although the lattice constant of the film decreased. These characteristics can be explained by the suppression of both the SiH4 and GeH4 adsorption/reactions in a similar degree due to B2H6 adsorption on the Si-Ge and/or Ge-Ge bond sites. The B concentration in the film increased proportionally up to 1022cm3 with increasing B2H6 partial pressure.

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Horse riding robot for health promotion and its control

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advanced Robotics 1998年第3期13卷 223-224页

作者： Wang, Shuoyu Kawata, Koichi Tsuchiya, Takeshi Ishda, Kenji Kimura, Tetsuhiko Nakajima, Ryoji Shinomiya, Youichi Department of Intelligent Mechanical Systems Engineering Kochi University of Technology Kochi 782-8502 185 Miyanokuchi Tosayamada-cho Kami-gun Japan Graduate School of Engineering Hokkaido University Hokkaido Japan Department of Rehabilitation Kochi Medical School Nankoku City 783-8050 Japan Department of Health Services Administration Nippon Medical School Tokyo 113-8602 1-1-5 Sendagi Bunkyo-ku Japan Human Media Technology Group Advanced Technology Research Laboratory Matsushita Electric Works Ltd Osaka 571-8686 1084 Kadoma Japan

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Diagnosing delivery problems in the White House information-distribution system

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AI MAGAZINE 1996年第4期17卷 21-30页

作者： Nahabedian, M Shrobe, H Massachusetts Institute of Technology’s (MIT) Artificial Intelligence Laboratory Intelligent Systems and Software Technology Defense Advanced Research Projects Agency (DARPA) Information Technology Office

As part of a collaboration with the White House Office of Media Affairs, members of the Artificial Intelligence laboratory at the Massachusetts Institute of technology designed a system, called COMLINK, that distributes a daily stream of documents released by the Office of Media Affairs. Approximately 4,000 direct subscribers receive information from this service, but more than 100,000 people receive the information through redistribution channels. The information is distributed through e-mail and the World Wide Web. In such a large-scale distribution scheme, there is a constant problem of subscriptions becoming invalid because the user's e-mail account has terminated. These invalid subscriptions cause a backwash of hundreds of bounced-mail messages each day that must be processed by the operators of the COMLINK system. To manage this annoying but necessary task, an expert system named BMES was developed to diagnose the failures of information delivery.

关键词： .subscribers subscriptions Intelligence laboratory Delivery Problems bouncedmail COMLINK system BMES

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military Engineering

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Geometric database maintenance using CCTV cameras and overlay graphics

Geometric database maintenance using CCTV cameras and overla...

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Space Station Automation IV 1988

作者： Oxenberg, Sheldon C. Landell, B. Patrick Kan, Edwin GE Advanced Technology Laboratories Intelligent Systems Laboratory Moorestown Corporate Center Rt. 38 MoorestownNJ08057 United States Jet Propulsion Laboratory California Institute of Technology 480 Oakgrove Drive PasadenaCA91109 United States

The GE advanced technology Laboratories has developed an interactive graphic overlay system that employs closed circuit television (CCTV) cameras to facilitate the remote verification and maintenance of a geometric world model database. This database provides geometric models and locations of objects viewed by CCTV cameras and manipulated by telerobots. To update the database, an operator uses GE's interactive graphics system to superimpose a wireframe line drawing of an object with known dimensions on a live video scene containing that object. The technique used to align the wireframe and the video image is multipoint positioning. An important application of GE's interactive graphic overlay system is as an object designation function for the operator control station (OCS) of the Jet Propulsion laboratory's Tel-erobot Demonstration System. © 1988 SPIE. All rights reserved.

关键词： Database systems

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A critical assessment of hypertext systems 88

A critical assessment of hypertext systems

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1988 SIGCHI Conference on Human Factors in Computing systems, CHI 1988

作者： Fischer, Gerhard Weyer, Stephen A. Jones, William P. Kay, Alan C. Kintsch, Walter Trigg, Randall H. Department of Computer Science Institute of Cognitive Science University of Colorado Campus Box 430 BoulderCO80309 United States Advanced Technology Group Apple Computer Inc. 20525 Mariani Avenue MS: 22C CupertinoCA95014 United States Arthur D. Little Inc. Artificial Intelligence Section Bldg. 35 Acron Park CambridgeMA02140 United States Vivarium Project Apple Computer Inc. 12212 Octagon St. Los AngelesCA90049 United States Institute of Cognitive Science University of Colorado Campus Box 345 BoulderCO80309 United States Intelligent Systems Laboratory Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo AltoCA94304 United States

ISBN: (纸本)0201142376

Over forty years ago, Vannevar Bush articulated his vision of a “Memex” machine: “associative indexing, … whereby any item may be caused at will to select immediately and automatically another” [Bush 45]. In the sixties, Engelbart [Engelbart, English 68] built collaborative systems to provide idea structuring and sharing. Nelson [Nelson 81] coined “hypertext” and proposed world-wide networks for publishing, linking, annotating and indexing multiple versions of documents. With increasing numbers of research projects, papers, panels and conferences, and commercially available systems (e.g. Notecards by Xerox, Guide by Owl and HyperCard by Apple) in recent years, hypertext may be an idea whose time has finally come — or at least a phenomenon not to be *** goal of this panel is not to define hypertext or hypermedia (at its simplest: non-linearly arranged and accessed information), debate its uniqueness, explain implementation issues, or survey the many applications and contributions in the field (see [Conklin 87] for an excellent survey of Hypertext, and the Proceedings of Hypertext '87 Workshop at University of North Carolina, Chapel Hill). Rather, we intend to approach it from the perspective of the information user: reader, searcher, author. The panel will address the following issues:Are the processes of authoring and understanding helped or hindered by the non-linear structure of hypertext, for which kinds of tasks and users? What is the difference between a hypertext writer and a knowledge engineer? In searching for information, what is the difference between browsing and querying?What experiments need to be done? What tools, environment or interfaces can improve the process of information creation and access? Can the overhead of creating or interpreting structure be reduced?When will hypertext replace paper, or should it? How do functions of author and reader co-evolve? Could this revolutionize society like the printing press? Why didn't the panelists cre

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AutoSilicon: Scaling Up RTL Design Generation Capability of Large Language Models

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ACM Transactions on Design Automation of Electronic systems 1000年

作者： Cangyuan Li Chujie Chen Yudong Pan Wenjun Xu Yiqi Liu Kaiyan Chang Yujie Wang Mengdi Wang Ying Wang Huawei Li Yinhe Han Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing China University of the Chinese Academy of Sciences Beijing China Hangzhou Institute for Advanced Study University of the Chinese Academy of Sciences Hangzhou China Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Computing Technology Chinese Academy of Sciences Beijing China SKLP Institute of Computing Technology Chinese Academy of Sciences Beijing China State Key Laboratory of Processor Institute of Computing Technology Chinese Academy of Sciences Beijing China Peng Cheng Laboratory Shenzhen China Zhejiang Lab Hangzhou China

Hardware description language (HDL) code designing is a critical component of the chip design process, requiring substantial engineering and time resources. Recent advancements in large language models (LLMs), such as GPT series, have shown promise in automating HDL code generation. However, current LLM-based approaches face significant challenges in meeting real-world hardware design requirements, particularly in handling complex designs and ensuring code correctness. Our evaluations reveal that the functional correctness rate of LLM-generated HDL code significantly decreases as design complexity increases. In this paper, we propose the AutoSilicon framework, which aims to scale up the hardware design capability of LLMs. AutoSilicon incorporates an agent system, which 1) allows for the decomposition of large-scale, complex code design tasks into smaller, simpler tasks; 2) provides a compilation and simulation environment that enables LLMs to compile and test each piece of code it generates; and 3) introduces a series of optimization strategies. Experimental results demonstrate that AutoSilicon can scale hardware designs to projects with code equivalent to over 10,000 tokens. In terms of design quality, it further improves the syntax correctness rate and functional correctness rate compared with approaches that do not employ any extensions. For example, compared to directly generating HDL code using GPT-4-turbo, AutoSilicon enhances the syntax correctness rate by an average of 35.8% and improves functional correctness by an average of 35.6%.

关键词： Verilog Code Generation LLM Agent Verilog

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Multi-Agent Reinforcement Learning based Edge Content Caching for Connected Autonomous Vehicles in IoV

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ACM Transactions on Autonomous and Adaptive systems 1000年

作者： Xiaolong Xu Linjie Gu Muhammad Bilal Maqbool Khan Yiping Wen Guoqiang Liu Yuan Yuan School of Software Jiangsu Province Engineering Research Center of Advanced Computing and Intelligent Services Nanjing University of Information Science and Technology China Changwang School of Honors Nanjing University of Information Science and Technology China Department of Computer and Electronics Systems Engineering Hankuk University of Foreign Studies Korea Department of IT and Computer Science Pak-Austria Fachhochschule-Institute of Applied Sciences and Technology Pakistan School of Computer Science and Engineering Hunan University of Science and Technology China School of Software Nanjing University of Information Science and Technology China School of Computer Science and Engineering Beihang University State Key Laboratory of Software Development Environment Zhongguancun Laboratory China

Connected Autonomous Vehicle (CAV) Driving, as a data-driven intelligent driving technology within the Internet of Vehicles (IoV), presents significant challenges to the efficiency and security of real-time data management. The combination of Web3.0 and edge content caching holds promise in providing low-latency data access for CAVs’ real-time applications. Web3.0 enables the reliable pre-migration of frequently requested content from content providers to edge nodes. However, identifying optimal edge node peers for joint content caching and replacement remains challenging due to the dynamic nature of traffic flow in IoV. Addressing these challenges, this article introduces GAMA-Cache, an innovative edge content caching methodology leveraging Graph Attention Networks (GAT) and Multi-Agent Reinforcement Learning (MARL). GAMA-Cache conceptualizes the cooperative edge content caching issue as a constrained Markov decision process. It employs a MARL technique predicated on cooperation effectiveness to discern optimal caching decisions, with GAT augmenting information extracted from adjacent nodes. A distinct collaborator selection mechanism is also developed to streamline communication between agents, filtering out those with minimal correlations in the vector input to the policy network. Experimental results demonstrate that, in terms of service latency and delivery failure, the GAMA-Cache outperforms other state-of-the-art MARL solutions for edge content caching in IoV.

关键词： Content Caching Reinforcement Learning Connected Autonomous Driving

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