We introduce the Riskman ontology & shapes for representing and analysing information about risk management for medical devices. Risk management is concerned with taking necessary precautions so a medical device d...
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Two-Level Grammar (TLG) is proposed for the formal specification and automatic generation of software systems. TLG specifications are unique in that they are a structured form of natural language which is executable. ...
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KING, JFBARTON, DEJ. 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 know...
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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.
作者：
CHICKERING, JEQUALLS, WBJohn E. Chickering:is a systems analyst with American Management Systems
Inc. in Arlington Virginia. Mr. Chickering received his BS degree in marine engineering from the U.S. Merchant Marine Academy in Kings Point New York in 1981 and his MBA degree in operations research and statistics from the University of Maryland in 1985. He is a licensed third assistant engineer of steam and motor vessels and a member of the Naval Reserve. Mr. Chickering's work includes the design and specification of several management information systems for the U.S. Navy including one that will automate the Navy's engineering drawing management system. Most recently Mr. Chickering has helped develop a workstation for the Navy's Paperless Ship Initiative. William B. Quails:is a management consultant with American Management Systems
Inc. in Arlington Virginia. Mr. Quails received his BA degree in English from the Tulane University in New Orleans Louisiana in 1977 and his MPA degree in management science from the University of Georgia in 1982. Mr. Quails participated in the design and development of the U.S. Navy's Shipboard Non-tactical ADP Program II (SNAP II). Recently Mr. Quails has participated in the design and development of several knowledge-based computer systems using artificial intelligence programming technologies. Mr. Quails is a member of Pi Alpha Alpha an honorary public affairs and administration society.
The U.S. Navy relies heavily on advanced technology to carry out its missions. As a consequence, today's sailors are spending increasing amounts of time maintaining and repairing complex systems and equipment. In ...
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The U.S. Navy relies heavily on advanced technology to carry out its missions. As a consequence, today's sailors are spending increasing amounts of time maintaining and repairing complex systems and equipment. In performing these duties, sailors depend on supporting technical documentation. As the complexity of systems and equipment grow, the volume and complexity of this technical documentation also increases. As a result, technical information, one of the Navy's critical resources, is simultaneously becoming more vital and more difficult to use. The Navy is meeting this challenge by exploring innovative approaches to the management of technical documentation. One example is the Paperless Ship Initiative, which employs optical disk technology as the primary means for document storage. Optical disks can store large volumes of technical information in a small space. One way to take advantage of this auto mated access is to make technical information more readily accessible and easier to use. As an example, a technical manual can be organized on an optical disk into discrete segments of text and indexed for fast retrieval by section, subsection, or paragraph. Furthermore, mechanisms can be developed which allow computer-supported links between logically related segments of the text. This style of interface allows a user to interact directly with the textual passages and to establish new organizational and referential links between them. This style of interface falls under the general category of hypertext (also known as linked text ). The combination of optical disk storage and hypertext offers new possibilities for improving access to large volumes of technical documentation while maintaining all of the advantages of traditional paper-based documentation. This paper begins with a discussion of the need for better technical documentation support. Alternatives that can fulfill this need are reviewed and the role of hypertext is described. The paper illustrates a sample
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