Edge intelligence : (Record no. 68491)
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| fixed length control field | 08832nam a2200805 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 9780750355933 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IOP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030124830.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m eo d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cn |||m|||a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240715s2024 enka fob 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780750355933 |
| Qualifying information | ebook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780750355926 |
| Qualifying information | mobi |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780750355919 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9780750355940 |
| Qualifying information | myPrint |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1088/978-0-7503-5593-3 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)thg00083956 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1446520278 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.583 |
| Item number | .B464 2024eb |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Benedict, Shajulin, |
| Relator term | author. |
| 9 (RLIN) | 97032 |
| 245 1# - TITLE STATEMENT | |
| Title | Edge intelligence : |
| Remainder of title | deep learning-enabled edge computing / |
| Statement of responsibility, etc. | Shajulin Benedict. |
| 246 3# - VARYING FORM OF TITLE | |
| Title proper/short title | Deep learning-enabled edge computing. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : |
| Name of producer, publisher, distributor, manufacturer | IOP Publishing, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2024] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (various pagings) : |
| Other physical details | illustrations (some color). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | [IOP release $release] |
| 490 1# - SERIES STATEMENT | |
| Series statement | IOP series in next generation computing |
| 490 1# - SERIES STATEMENT | |
| Series statement | IOP ebooks. [2024 collection] |
| 500 ## - GENERAL NOTE | |
| General note | "Version: 20240601"--Title page verso. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | part I. Introduction. 1. Edge intelligence -- 1.1. Edge computing -- 1.2. History of edge computing -- 1.3. Edge intelligence -- 1.4. Advantages : edge intelligence -- 1.5. Challenges : edge intelligence -- 1.6. Applications -- 1.7. The need for this book -- 1.8. Potential readers -- 1.9. Organization of the book |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2. Edge computing architectures -- 2.1. Internet of Things -- 2.2. IoT-enabled components -- 2.3. Learning techniques : machine learning -- 2.4. Learning techniques : deep learning -- 2.5. Edge-AI architectures -- 2.6. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 3. Edge OS and programming models -- 3.1. Operating systems -- 3.2. Objectives of OS in edge devices (Edge OS) -- 3.3. Taxonomy of OS : toward edge -- 3.4. Edge OS : examples -- 3.5. Process states in edge-OS -- 3.6. FreeRTOS : OS for embedded devices -- 3.7. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | part II. Learning techniques. 4. Edge intelligence : learning techniques -- 4.1. Edge intelligence : a need -- 4.2. Federated learning -- 4.3. DNN splitting -- 4.4. Transfer learning -- 4.5. Gossip learning -- 4.6. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 5. Inference/prediction techniques -- 5.1. Learning stages -- 5.2. Inference knowledge levels -- 5.3. Distributed inferences -- 5.4. Distributed inferences : implementation strategies -- 5.5. Interactive versus batched inferences -- 5.6. Partitioning distributed inferences -- 5.7. Accelerating distributed inferences : strategies -- 5.8. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 6. Edge resources and accelerators -- 6.1. Edge resources : basics -- 6.2. Micro-controller-level devices : an edge? -- 6.3. Micro-processor-level devices : general purpose -- 6.4. GPUs, TPUs, and FPGAs : special purpose -- 6.5. SoC, SoM, system-on-board -- 6.6. Edge accelerators -- 6.7. Commercial edge accelerators -- 6.8. Examples and use-cases -- 6.9. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 7. Performance analysis of edge-enabled applications -- 7.1. Performance concerns -- 7.2. Model-specific performance concerns -- 7.3. Architecture-specific performance concerns -- 7.4. Algorithm-specific performance concerns -- 7.5. Data-specific performance concerns -- 7.6. Performance monitoring : a need -- 7.7. Performance monitoring : metrics -- 7.8. Energy-efficiency methods -- 7.9. Carbon efficiency methods -- 7.10. Workload scheduling and performance impacts -- 7.11. Performance monitoring tools -- 7.12. Cloud/fog/edge-level performance monitoring -- 7.13. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 8. Security in edge-AI systems -- 8.1. Existing security challenges -- 8.2. Security attacks in edge-AI -- 8.3. Data-specific vulnerabilities -- 8.4. Security architectures in edge-AI -- 8.5. Preventing security breaches : strategies -- 8.6. Tools and solutions -- 8.7. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | part III. Tools and solutions. 9. Frameworks : edge-AI platforms -- 9.1. Essential characteristics -- 9.2. Types of framework -- 9.3. Resource-allocation frameworks -- 9.4. Cloud-specific frameworks -- 9.5. Application-specific frameworks -- 9.6. Distributed federated learning frameworks -- 9.7. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 10. Orchestration platforms : computing continuum -- 10.1. Orchestration and integration -- 10.2. Algorithmic/application orchestration -- 10.3. Workload orchestration -- 10.4. Hierarchical versus non-hierarchical orchestration -- 10.5. Adaptiveness in orchestration -- 10.6. Automation in orchestration -- 10.7. Metric-oriented orchestration -- 10.8. Orchestration frameworks -- 10.9. Integration platforms |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | part IV. Applications. 11. Edge-AI applications -- 11.1. Applications -- 11.2. Edge-AI for healthcare -- 11.3. Industrial applications using edge-AI -- 11.4. Edge-AI for agriculture -- 11.5. Edge-AI for forensics -- 11.6. Edge-AI for mobility/logistics -- 11.7. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 12. Business opportunities using edge-AI -- 12.1. Digital business -- 12.2. Economic impacting factors -- 12.3. Business opportunities : edge-AI platforms -- 12.4. Cost models -- 12.5. Economic simulators for FaaS implementation -- 12.6. Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 13. Challenges and future directions -- 13.1. Edge-AI challenges. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Full-text restricted to subscribers or individual document purchasers. |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | Edge Intelligence: deep learning-enabled edge computing is a book that targets researchers and practitioners who are interested in applying intelligence without compromising data privacy. The book reveals the existing edge-AI techniques and forecasts future edge-AI integration methods. The book delves into edge computing architectures after describing relevant basic technologies such as IoT, cloud computing, and other security-related architectures. The book starts with an explanation of all relevant basic technologies. It offers a smooth transition from the basics to insightful practical sessions for practitioners. The ideas of providing innovative ideas and applications in the later part of the book can enthuse researchers and developers to engage themselves in innovating newer products with the application of edge intelligence. Part of IOP Series in Next Generation Computing. |
| 521 ## - TARGET AUDIENCE NOTE | |
| Target audience note | Academic and commercial researchers. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader. |
| 545 ## - BIOGRAPHICAL OR HISTORICAL DATA | |
| Biographical or historical data | Shajulin Benedict graduated in 2001 from Manonmaniam Sunderanar University, India, with Distinction. In 2004, he received an M.E Degree in Digital Communication and Computer Networking from A.K.C.E, Anna University, Chennai. He is the University second rank holder for his masters. He did his PhD degree in the area of Grid scheduling under Anna University, Chennai (Supervisor--Dr. V Vasudevan, Director, Software Technologies Group of TIFAC Core in Network Engineering). He was affiliated to the same group and published more papers in international journals. He served as Professor at SXCCE Research Centre of Anna University-Chennai. Later, he visited TUM Germany for teaching Cloud Computing as Guest Professor of TUM Germany. Now, he works at the Indian Institute of Information Technology Kottayam, Kerala, India, an institute of national importance of India. He serves as Director/PI/Representative Officer of AIC-IIIT Kottayam (Sec.8 Company) for nourishing young entrepreneurs of India. He is also working as a Guest Professor of TUM Germany. His research interests include HPC/Cloud/Grid scheduling, performance analysis of parallel applications (including exa-scale), cloud computing, IIoT, blockchain, parallel compilers, and so forth. His webpage can be found at: sbenedictglobal.com. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Title from PDF title page (viewed on July 15, 2024). |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 97033 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| Source of heading or term | bicssc |
| 9 (RLIN) | 58441 |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| Source of heading or term | bisacsh |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Institute of Physics (Great Britain), |
| Relator term | publisher. |
| 9 (RLIN) | 17702 |
| 776 #8 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9780750355919 |
| -- | 9780750355940 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IOP (Series). |
| Name of part/section of a work | Release 24. |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IOP series in next generation computing. |
| 9 (RLIN) | 96544 |
| 830 ## - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IOP ebooks. |
| Name of part/section of a work | 2024 collection. |
| 856 4# - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://iopscience.iop.org/book/mono/978-0-7503-5593-3">https://iopscience.iop.org/book/mono/978-0-7503-5593-3</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | |
No items available.