Highlights of contractor initiatives in quality enhancement and productivity improvement

The NASA/Contractor Team efforts are presented as part of NASA's continuing effort to facilitate the sharing of quality and productivity improvement ideas among its contractors. This complilation is not meant to be a comprehensive review of contractor initiative nor does it necessarily express NASA's views. The submissions represent samples from a general survey, and were not edited by NASA. The efforts are examples of quality and productivity programs in private industry, and as such, highlight company efforts in individual areas. Topics range from modernization of equipment, hardware, and technology to management of human resources. Of particular interest are contractor initiatives which deal with measurement and evaluation data pertaining to quality and productivity performance

An Automated Consultant for Interactive Environments

Interactive computing environments provide facilities intended to support and assist the range from novice to expert users, but casual users tend to get trapped in the starter set of commands. We have developed a rule-based technology for providing on-line assistance calibrated to both the task at hand and the user's past experience using the system. Such assistance helps users to progress to more advanced features. We present our automated consultant and describe its application to a practical domain, the Berkeley Unix mail system

A Knowledge-Based Expert Systems Primer and Catalog

For more than 20 years, artificial intelligence techniques have been applied to the development of computer programs that solve difficult problems. Although several expert systems are well known, it is all too easy to circumscribe the field based on these few examples. The purpose of this paper is to present the fundamentals of the field (the Primer), and to give a broad overview via concise descriptions of many rule-based expert systems and knowledge engineering frameworks (the Catalog)

An analysis of the application of AI to the development of intelligent aids for flight crew tasks

This report presents the results of a study aimed at developing a basis for applying artificial intelligence to the flight deck environment of commercial transport aircraft. In particular, the study was comprised of four tasks: (1) analysis of flight crew tasks, (2) survey of the state-of-the-art of relevant artificial intelligence areas, (3) identification of human factors issues relevant to intelligent cockpit aids, and (4) identification of artificial intelligence areas requiring further research

Knowledge-Based Systems. Overview and Selected Examples

The Advanced Computer Applications (ACA) project builds on IIASA's traditional strength in the methodological foundations of operations research and applied systems analysis, and its rich experience in numerous application areas including the environment, technology and risk. The ACA group draws on this infrastructure and combines it with elements of AI and advanced information and computer technology to create expert systems that have practical applications. By emphasizing a directly understandable problem representation, based on symbolic simulation and dynamic color graphics, and the user interface as a key element of interactive decision support systems, models of complex processes are made understandable and available to non-technical users. Several completely externally-funded research and development projects in the field of model-based decision support and applied Artificial Intelligence (AI) are currently under way, e.g., "Expert Systems for Integrated Development: A Case Study of Shanxi Province, The People's Republic of China." This paper gives an overview of some of the expert systems that have been considered, compared or assessed during the course of our research, and a brief introduction to some of our related in-house research topics

An Expert Systems Approach to Realtime, Active Management of a Target Resource

The application of expert systems techniques to process control domains represents a potential approach to managing the increasing complexity and dynamics which characterizes many process control environments. This thesis reports on one such application in a complex, multi-agent environment, with an eye toward generalization to other process control domains. The application concerns the automation of large computing system operation. The requirement for high availability, high performance, computing systems has created a demand for fast, consistent, expert quality response to operational problems, and effective, flexible automation of computer operations would satisfy this demand while improving the productivity of operations. However, like many process control environments, the computer operations environment is characterized by high complexity and frequent change, rendering it difficult to automate operations in traditional procedural software. These are among the characteristics which motivate an expert systems approach to automation. JESQ, the focus of this thesis, is a realtime expert system which continuously monitors the level of operating system queue space in a large computing system and takes corrective action as queue space diminishes. JESQ is one of several expert systems which comprise a system called Yorktown Expert System/MVS Manager (YES/MVS). YES/MVS automates many tasks in the domain of computer operations, and is among the first expert systems designed for continuous execution in realtime. The expert system is currently running at the IBM Thomas J. Watson Research Center, and has received a favorable response from operations staff. The thesis concentrates on several related issues. The requirements which distinguish continuous realtime expert systems that exert active control over their environments from more conventional session-oriented expert systems are identified, and strategies for meeting these requirements are described. An alternative methodology for managing large computing installations is presented. The problems of developing and testing a realtime expert system in an industrial environment are described

High speed data transmission over HF radio links

The thesis describes the results of research work on techniques for high speed data transmission (2.4 kbit/s) over voice-band HF radio channels. This work has been carried out using extensive computer simulation of the various transmission techniques and the HF radio channels. Firstly, the characteristics of HF radio channels are discussed in detail and an HF channel model, suitable for computer simulation, is developed. The first of two techniques for high data rate transmission over HF links is then introduced, namely, multi-channel (or parallel) DPSK transmission. Parallel transmission is a well known technique in this application but it has been studied and simulated, in order to compare its performance with that of the second, more novel, transmission technique. This is a single channel system employing 4 point QAM signalling at the transmitter and maximum likelihood detection at the receiver. Initially, the parallel system is compared with an idealised serial system employing optimum Viterbi detection at the receiver with all other functions of the serial function assumed perfect. However, having shown the vastly superior performance of this serial system, a more practical serial modem is gradually developed, with further performance comparisons at each stage in this development. The final comparison is made with a very practical form of serial modem in which all practical receiver functions are simulated. Theseinclude a simpler, adaptive near maximum likelihood detector, receiver filtering, channel estimator, carrier phase tracking, timing synchronisation and automatic gain control. Finally, the design and implementation of the serial modem is studied and details of the complexity of a digital, processor-based, realisation are given