5,537 research outputs found
Japanese cooperative R&D projects in software technology
Includes bibliographical references (leaves 50-55).Michael A. Cusumano
Silicon Valley versus Corporate Welfare
The estimated $65 billion a year that the federal government now spends on corporate welfare programs harms U.S. industry in general and Silicon Valley companies in particular. The competitiveness of America's semiconductor firms and other high-technology industries would benefit if corporate subsidies were eliminated altogether and the savings were devoted to reducing corporate income taxes, the capital gains tax, or the personal income tax. Given Congress's reluctance to vote down corporate pork, one strategy for eliminating corporate welfare would be to form an independent commission to identify unnecessary subsidies. That would force Congress to vote yes or no on a package of corporate spending subsidies. More than 50 Silicon Valley CEOs agree with this critical assessment of federal subsidies to industry and have signed a "Declaration of Independence" from corporate welfare. In the statement, which appears in the Appendix of this study, the CEOs urge Congress to end corporate welfare "even if it means funding cuts to my own company.
Innovative Tokyo
This paper compares and contrasts Tokyo's innovation structure with the industrial districts model and the international hub model in the literature on urban and regional development. The Tokyo model embraces and yet transcends both industrial districts and international hub models. The paper details key elements making up the Tokyo model-organizational knowledge creation, integral and co-location systems of corporate R&D and new product development, test markets, industrial districts and clusters, participative consumer culture, continuous learning from abroad, local government policies, the national system of innovation, and the historical genesis of Tokyo in Japan's political economy. The paper finds that the Tokyo model of innovation will continue to evolve with the changing external environment, but fundamentally retains its main characteristics. The lessons from the Tokyo model is that openness, a diversified industrial base, the continuing development of new industries, and an emphasis on innovation, all contribute to the dynamism of a major metropolitan region.Labor Policies,Environmental Economics&Policies,Public Health Promotion,ICT Policy and Strategies,Agricultural Knowledge&Information Systems,ICT Policy and Strategies,Environmental Economics&Policies,Health Monitoring&Evaluation,Agricultural Knowledge&Information Systems,Innovation
Comparisons of some large scientific computers
In 1975, the National Aeronautics and Space Administration (NASA) began studies to assess the technical and economic feasibility of developing a computer having sustained computational speed of one billion floating point operations per second and a working memory of at least 240 million words. Such a powerful computer would allow computational aerodynamics to play a major role in aeronautical design and advanced fluid dynamics research. Based on favorable results from these studies, NASA proceeded with developmental plans. The computer was named the Numerical Aerodynamic Simulator (NAS). To help insure that the estimated cost, schedule, and technical scope were realistic, a brief study was made of past large scientific computers. Large discrepancies between inception and operation in scope, cost, or schedule were studied so that they could be minimized with NASA's proposed new compter. The main computers studied were the ILLIAC IV, STAR 100, Parallel Element Processor Ensemble (PEPE), and Shuttle Mission Simulator (SMS) computer. Comparison data on memory and speed were also obtained on the IBM 650, 704, 7090, 360-50, 360-67, 360-91, and 370-195; the CDC 6400, 6600, 7600, CYBER 203, and CYBER 205; CRAY 1; and the Advanced Scientific Computer (ASC). A few lessons learned conclude the report
Spartan Daily, November 15, 1991
Volume 97, Issue 54https://scholarworks.sjsu.edu/spartandaily/8191/thumbnail.jp
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Soft policies and hard competition: Government, industry, and user impacts on the development of Japan's software industry
The paper analyzes the development and structure of the Japan's software industry, focusing particular attention on the failure of government support policies to nurture an internationally competitive industry and the success of foreign software producers in the Japanese market. The research adopts an evolutionary approach to explain Japan's problems in building a competitive software industry except in games, challenging the validity of standard explanations such as cultural disadvantage and failure to adopt best practice. The pattern of development in the Japanese software industry results from strong user preference for customized software over packaged products. Large users develop highly customized software systems that reflect their unique organizational structures and operating advantages. Software is viewed as an input into the production process, rather than an output to be independently marketted. As such, the structure of the software reflects the administrative heritage of major industrial users as much as developments in computer technology. The tendency to emphasize customization favors intra-industry software advances over interindustry expansion. Moreover, high demand for customization combines with large variation in operating systems to fractionalize the industry and frustrate government support policies. Even though the Ministry of International Trade and Industry followed the same industry support model that proved so successful in manufacturing, an independent world class software industry has not developed. The preference for customization has also allowed foreign software producers to successfully pursue a hub and spoke strategy. Foreign producers have been able to expand their user base, thereby lowering unit cost and putting local software developers at a further disadvantage. The research suggests that this situation will continue
Internal and external linkages in the MNC--the case of R&D subsidiaries in Japan
"Paper presented at symposium on Management of the MNC, Brussels, June 1987."Bibliography: leaves 24-27.D. Eleanor Westney
Parallel processing and expert systems
Whether it be monitoring the thermal subsystem of Space Station Freedom, or controlling the navigation of the autonomous rover on Mars, NASA missions in the 90's cannot enjoy an increased level of autonomy without the efficient use of expert systems. Merely increasing the computational speed of uniprocessors may not be able to guarantee that real time demands are met for large expert systems. Speed-up via parallel processing must be pursued alongside the optimization of sequential implementations. Prototypes of parallel expert systems have been built at universities and industrial labs in the U.S. and Japan. The state-of-the-art research in progress related to parallel execution of expert systems was surveyed. The survey is divided into three major sections: (1) multiprocessors for parallel expert systems; (2) parallel languages for symbolic computations; and (3) measurements of parallelism of expert system. Results to date indicate that the parallelism achieved for these systems is small. In order to obtain greater speed-ups, data parallelism and application parallelism must be exploited
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