Advances in Information Systems Science Volume 7

Information systems science is advancing in many directions with rapid strides. Many diversified ideas, methodologies, and techniques have been conceived and developed for improving the design of information systems and for inventing new methods for solving complex information problems. This volume,...

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Bibliographic Details
Main Author: Tou, Julius T.
Format: eBook
Language:English
Published: New York, NY Springer US 1978, 1978
Edition:1st ed. 1978
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Diagnosis Techniques and Methodologies for Digital Systems
  • 1. Introduction
  • 2. Diagnostic Data Generation Theory
  • 3. Diagnostic Execution
  • 4. Applied Fault Diagnosis Techniques
  • 5. Some Problems for Further Research
  • 6. Conclusions
  • References
  • 2 Design for a Distributed Information Network
  • 1. Introduction
  • 2. Hardware Systems
  • 3. Software Systems
  • 4. Selected Applications
  • References
  • 3 Modeling and Design of Distributed Information Systems
  • 1. General Introduction
  • 2. Modeling Distributed Computer Systems
  • 3. A Design Procedure for Distributed Computer Systems
  • 4. Modeling Distributed Databases
  • 5. Intelligent Coupler
  • 5.1. Locating Information
  • 5.2. Query Formulation and Test Run for Queries
  • 5.3. Query Languages
  • 5.4. Security
  • 5.5. Locking in Distributed Information Systems
  • 5.6. System Recovery
  • 5.7. Performance Measurements and Evaluation
  • 6. Concluding Remarks
  • References and Suggested Further Reading
  • 4 Hardware, Firmware, Software Technology in Microcomputer Systems
  • 1. Hardware Organization
  • 2. Firmware
  • 3. Software
  • 4. What Computing Has Come To
  • 5 Data Structures and Pattern Recognition
  • 1. Introduction
  • 2. The Pattern Recognition Problem
  • 3. The Data Structure Concept
  • 4. Pictorial Pattern Recognition and Image Processing
  • 5. Review of Applications to Pattern Recognition
  • 6. Line Drawings and Chain Codes
  • 7. Histograms and Integral Projections
  • 8. Medial Axis Transformation
  • 9. Generalized Cones
  • 10. Syntactic Methods
  • 11. Trees in Analysis: Text, Speech, and Line-Drawing Data
  • 12. Webs and Trees in Applications
  • 13. Structure Learning
  • 14. Conclusion
  • References