Advances in Information Systems Science: Volume 7
Autor Julius T. Touen Limba Engleză Paperback – 3 feb 2012
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Specificații
ISBN-13: 9781461590583
ISBN-10: 1461590582
Pagini: 328
Ilustrații: XIV, 313 p. 10 illus.
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.44 kg
Ediția:Softcover reprint of the original 1st ed. 1978
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
ISBN-10: 1461590582
Pagini: 328
Ilustrații: XIV, 313 p. 10 illus.
Dimensiuni: 152 x 229 x 17 mm
Greutate: 0.44 kg
Ediția:Softcover reprint of the original 1st ed. 1978
Editura: Springer Us
Colecția Springer
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
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.