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DDC 004.67/8
I 69


    Integrating the internet of things into software engineering practices / / D. Jeya Mala, editor. - Hershey, PA : : Engineering Science Reference,, [2019]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/1D9A3CDE-467D-4AE7-A850-B245C4F19C7C. - ISBN 9781522577911 (electronic bk.). - ISBN 1522577912 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Integrating the internet of things into software engineering practices. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522577904

~РУБ DDC 004.67/8

Рубрики: Internet of things.

   Software engineering.


   Internet of things.


   Software engineering.


   COMPUTERS / Computer Literacy


   COMPUTERS / Computer Science


   COMPUTERS / Data Processing


   COMPUTERS / Hardware / General


   COMPUTERS / Information Technology


   COMPUTERS / Machine Theory


   COMPUTERS / Reference


Аннотация: "This book presents novel ideas related to the development aspects, case studies, issues and challenges and best practices that can be adopted for IoT. It also provides details of vulnerability, complexity, robustness management, risk-driven security metrics, methodologies and tools that help the students, academia, researchers and developers to achieve adequate security, trust, dependability and privacy goals"--

Доп.точки доступа:
Mala, D. Jeya, (1974-) \editor.\

Integrating the internet of things into software engineering practices / [Электронный ресурс] / D. Jeya Mala, editor., [2019]. - 1 online resource. с.

1.

Integrating the internet of things into software engineering practices / [Электронный ресурс] / D. Jeya Mala, editor., [2019]. - 1 online resource. с.


DDC 004.67/8
I 69


    Integrating the internet of things into software engineering practices / / D. Jeya Mala, editor. - Hershey, PA : : Engineering Science Reference,, [2019]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/1D9A3CDE-467D-4AE7-A850-B245C4F19C7C. - ISBN 9781522577911 (electronic bk.). - ISBN 1522577912 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Integrating the internet of things into software engineering practices. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522577904

~РУБ DDC 004.67/8

Рубрики: Internet of things.

   Software engineering.


   Internet of things.


   Software engineering.


   COMPUTERS / Computer Literacy


   COMPUTERS / Computer Science


   COMPUTERS / Data Processing


   COMPUTERS / Hardware / General


   COMPUTERS / Information Technology


   COMPUTERS / Machine Theory


   COMPUTERS / Reference


Аннотация: "This book presents novel ideas related to the development aspects, case studies, issues and challenges and best practices that can be adopted for IoT. It also provides details of vulnerability, complexity, robustness management, risk-driven security metrics, methodologies and tools that help the students, academia, researchers and developers to achieve adequate security, trust, dependability and privacy goals"--

Доп.точки доступа:
Mala, D. Jeya, (1974-) \editor.\

DDC 307.760285/4678
I 70


    IoT architectures, models, and platforms for smart city applications / / Bhawani Shankar Chowdhry, Faisal Karim Shaikh, Naeem Ahmed Mahoto [editors]. - Hershey, PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xix, 291 pages). : il. - (Advances in computer and electrical engineering (ACEE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7B0FD71B-9EBF-4C2D-AC9C-52B1EA862A78. - ISBN 1799812553 (electronic book). - ISBN 9781799812555 (electronic bk.)
"Premier reference source"--Cover. Description based on online resource; title from digital title page (viewed on December 18, 2019).
Параллельные издания: Print version: : IoT architectures, models, and platforms for smart city applications. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, 2019. - ISBN 9781799812531
    Содержание:
Internet of Drones Enabled Smart Cities / Navuday Sharma, Tallinn University of Technology, Estonia, Maurizio Magarini, Politecnico di Milano, Italy, Muhammad Alam, Tallinn University of Technology, Estonia -- Internet of Things Based Health Care Applications / Seema Ansari, Institute of Business Management, Pakistan, Tahniyat Aslam, Institute of Business Management, Pakistan, Javier Poncela, University of Malaga, Spain, Pablo Otero, University of Malaga, Spain, Adeel Ansari, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Pakistan -- Hybrid Multi-Cloud Demystifying SLAs for Smart City Enterprises using IoT applications / Lubna Dhirani, University of Limerick, Ireland, Thomas Newe, University of Limerick, Ireland, Shahzad Nizamani, Mehran University of Engineering and Technology, Pakistan.

~РУБ DDC 307.760285/4678

Рубрики: Smart cities.

   Internet of things.


   Internet of things.


   Smart cities.


Аннотация: "This book examines the major aspects of the internet of things and how this platform can enhance smart cities by securing innovative solutions for their challenges rather than using basic off-the-shelf solutions"--

Доп.точки доступа:
Chowdhry, Bhawani Shankar, \editor.\
Shaikh, Faisal Karim, \editor.\
Mahoto, Naeem Ahmed, (1983-) \editor.\

IoT architectures, models, and platforms for smart city applications / [Электронный ресурс] / Bhawani Shankar Chowdhry, Faisal Karim Shaikh, Naeem Ahmed Mahoto [editors]., [2020]. - 1 online resource (xix, 291 pages). с. (Введено оглавление)

2.

IoT architectures, models, and platforms for smart city applications / [Электронный ресурс] / Bhawani Shankar Chowdhry, Faisal Karim Shaikh, Naeem Ahmed Mahoto [editors]., [2020]. - 1 online resource (xix, 291 pages). с. (Введено оглавление)


DDC 307.760285/4678
I 70


    IoT architectures, models, and platforms for smart city applications / / Bhawani Shankar Chowdhry, Faisal Karim Shaikh, Naeem Ahmed Mahoto [editors]. - Hershey, PA : : IGI Global, Engineering Science Reference,, [2020]. - 1 online resource (xix, 291 pages). : il. - (Advances in computer and electrical engineering (ACEE) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7B0FD71B-9EBF-4C2D-AC9C-52B1EA862A78. - ISBN 1799812553 (electronic book). - ISBN 9781799812555 (electronic bk.)
"Premier reference source"--Cover. Description based on online resource; title from digital title page (viewed on December 18, 2019).
Параллельные издания: Print version: : IoT architectures, models, and platforms for smart city applications. - Hershey, PA : Engineering Science Reference, an imprint of IGI Global, 2019. - ISBN 9781799812531
    Содержание:
Internet of Drones Enabled Smart Cities / Navuday Sharma, Tallinn University of Technology, Estonia, Maurizio Magarini, Politecnico di Milano, Italy, Muhammad Alam, Tallinn University of Technology, Estonia -- Internet of Things Based Health Care Applications / Seema Ansari, Institute of Business Management, Pakistan, Tahniyat Aslam, Institute of Business Management, Pakistan, Javier Poncela, University of Malaga, Spain, Pablo Otero, University of Malaga, Spain, Adeel Ansari, Shaheed Zulfiqar Ali Bhutto Institute of Science and Technology, Pakistan -- Hybrid Multi-Cloud Demystifying SLAs for Smart City Enterprises using IoT applications / Lubna Dhirani, University of Limerick, Ireland, Thomas Newe, University of Limerick, Ireland, Shahzad Nizamani, Mehran University of Engineering and Technology, Pakistan.

~РУБ DDC 307.760285/4678

Рубрики: Smart cities.

   Internet of things.


   Internet of things.


   Smart cities.


Аннотация: "This book examines the major aspects of the internet of things and how this platform can enhance smart cities by securing innovative solutions for their challenges rather than using basic off-the-shelf solutions"--

Доп.точки доступа:
Chowdhry, Bhawani Shankar, \editor.\
Shaikh, Faisal Karim, \editor.\
Mahoto, Naeem Ahmed, (1983-) \editor.\

DDC 610.285
E 91

European Federation for Medical Informatics. Special Topic Conference ((2016 : ; Paris, France),).
    Transforming healthcare with the internet of things : : proceedings of the EFMI Special Topic Conference 2016 / / edited by Jacob Hofdijk [and 6 more]. - Amsterdam, Netherlands : : IOS Press,, ©2016. - 1 online resource (xii, 136 pages) : : il. - (Studies in health technology and informatics, ; volume 221). - Includes bibliographical references and indexes. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5060394C-962B-42D1-AC20-CCD1FA044D31. - ISBN 9781614996330 (electronic bk.). - ISBN 1614996334 (electronic bk.)
Description based on online resource; title from resource home page (IOS Press, viewed January 26, 2017).
    Содержание:
Transforming healthcare with the IoT -- Using gamification combined with indoor location to improve nurses' hand hygiene compliance in an ICU ward -- Integrated system for monitoring and prevention in obstetrics-gynaecology -- Adoption and use of a mobile health application in older adults for cognitive stimulation -- Positioning commercial pedometers to measure activity of older adults with slow gait: at the wrist or at the waist? -- Towards a wireless smart polysomnograph using symbolic fusion -- Societal dimensions of the IOT. Risk and the internet of things: damocles, pythia, or pandora? -- A new challenge to research ethics: patients-led research (PLR) and the role of internet based social networks -- Analyzing privacy risks of mHealth applications -- Non-technical issues in design and development of personal portable devices -- Towards citizen-centred care: interim results from an e-prescription case -- Ontology and decision support. Remote monitoring of cardiac implantable devices: ontology driven classification of the alerts -- Ontology-oriented programming for biomedical informatics -- An integrated children disease prediction tool within a special social network -- Ontological foundations for tracking data quality through the internet of things -- Implementation of a decision support system for interpretation of laboratory tests for patients -- Clinical information systems and data reuse. Exploring barriers and opportunities for adoption of web portals in Russia -- Elderly surgical patients: automated computation of healthcare quality indicators by data reuse of EHR -- Clinical data models at university hospitals of Geneva -- Automated data aggregation for time-series analysis: study case on anaesthesia data warehouse -- Case-based learning: a formal approach to generate health case studies from electronic healthcare records -- Posters. Retrieving clinical and omic data from electronic health records -- Smart medications & the internet of things -- Interactive videos within an e-learning context -- Internet of things based medication adherence assessment -- Recruiting participants to local clinical trials using ontology and the IOT -- Design and evaluation of a multi user medication reminder mobile app -- Barriers to the success of health ICT implementations: a report from Norway -- Cloud computing in healthcare: a space of opportunities and challenges -- Development of a web portal using open source information visualization libraries -- Midwifery education introduce the internet of things -- Medbioinformatics: developing integrative bioinformatics applications for personalized medicine -- Incorporating pharmacy dispensing records into medical records: usability challenges -- Toward a virtual community of healthcare facilities: virtual lab -- Statistical classification of dyscalculia symptoms using smartphones and behaviour of magnocellular cells -- Internet of things & personalized healthcare -- Fetching connected pedometer data to analyze patients walking -- Consensus on Norwegian archetypes -- Empowering patients to choose appropriate and safe hospital services.

~РУБ DDC 610.285

Рубрики: Medical informatics

   Internet of things


   Medical Informatics.


   Biomedical Technology--trends.


   Wireless Technology--trends.


   Internet of things.


   Medical informatics.


   HEALTH & FITNESS / Holism


   HEALTH & FITNESS / Reference


   MEDICAL / Alternative Medicine


   MEDICAL / Atlases


   MEDICAL / Essays


   MEDICAL / Family & General Practice


   MEDICAL / Holistic Medicine


   MEDICAL / Osteopathy


Аннотация: "The current trend in health and social care systems is a shift from care provision to citizen-driven health. Only a few years ago, the high-tech devices used in healthcare were limited to health cards and personal portable devices. These have since evolved dramatically to include wearables, sensors and devices for measuring health values. The application of such technologies has, for the most part been welcomed by both patients and professionals. It is the fact that these devices can be connected to and communicate with other connected devices and systems which has been the game changer in healthcare technology, not least because it has empowered and will empower patients to take more control of their own healthcare management. This book presents the proceedings of the Special Topic Conference (STC) of the European Federation for Medical Informatics (EFMI), held in Paris, France, in April 2016. The special topic this year is 'Transforming Healthcare with the Internet of Things'. The papers are divided into four sections: transforming healthcare with the Internet of things; societal dimensions of the Internet of things; ontology and decision support; and clinical information systems and data reuse; with a further section for poster presentations. The book will be of interest to all those involved in the provision and delivery of technology-based healthcare"--Publisher's description.

Доп.точки доступа:
Hofdijk, Jacob, \editor.\

Transforming healthcare with the internet of things : [Электронный ресурс] : proceedings of the EFMI Special Topic Conference 2016 / / edited by Jacob Hofdijk [and 6 more]., ©2016. - 1 online resource (xii, 136 pages) : с. (Введено оглавление)

3.

Transforming healthcare with the internet of things : [Электронный ресурс] : proceedings of the EFMI Special Topic Conference 2016 / / edited by Jacob Hofdijk [and 6 more]., ©2016. - 1 online resource (xii, 136 pages) : с. (Введено оглавление)


DDC 610.285
E 91

European Federation for Medical Informatics. Special Topic Conference ((2016 : ; Paris, France),).
    Transforming healthcare with the internet of things : : proceedings of the EFMI Special Topic Conference 2016 / / edited by Jacob Hofdijk [and 6 more]. - Amsterdam, Netherlands : : IOS Press,, ©2016. - 1 online resource (xii, 136 pages) : : il. - (Studies in health technology and informatics, ; volume 221). - Includes bibliographical references and indexes. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/5060394C-962B-42D1-AC20-CCD1FA044D31. - ISBN 9781614996330 (electronic bk.). - ISBN 1614996334 (electronic bk.)
Description based on online resource; title from resource home page (IOS Press, viewed January 26, 2017).
    Содержание:
Transforming healthcare with the IoT -- Using gamification combined with indoor location to improve nurses' hand hygiene compliance in an ICU ward -- Integrated system for monitoring and prevention in obstetrics-gynaecology -- Adoption and use of a mobile health application in older adults for cognitive stimulation -- Positioning commercial pedometers to measure activity of older adults with slow gait: at the wrist or at the waist? -- Towards a wireless smart polysomnograph using symbolic fusion -- Societal dimensions of the IOT. Risk and the internet of things: damocles, pythia, or pandora? -- A new challenge to research ethics: patients-led research (PLR) and the role of internet based social networks -- Analyzing privacy risks of mHealth applications -- Non-technical issues in design and development of personal portable devices -- Towards citizen-centred care: interim results from an e-prescription case -- Ontology and decision support. Remote monitoring of cardiac implantable devices: ontology driven classification of the alerts -- Ontology-oriented programming for biomedical informatics -- An integrated children disease prediction tool within a special social network -- Ontological foundations for tracking data quality through the internet of things -- Implementation of a decision support system for interpretation of laboratory tests for patients -- Clinical information systems and data reuse. Exploring barriers and opportunities for adoption of web portals in Russia -- Elderly surgical patients: automated computation of healthcare quality indicators by data reuse of EHR -- Clinical data models at university hospitals of Geneva -- Automated data aggregation for time-series analysis: study case on anaesthesia data warehouse -- Case-based learning: a formal approach to generate health case studies from electronic healthcare records -- Posters. Retrieving clinical and omic data from electronic health records -- Smart medications & the internet of things -- Interactive videos within an e-learning context -- Internet of things based medication adherence assessment -- Recruiting participants to local clinical trials using ontology and the IOT -- Design and evaluation of a multi user medication reminder mobile app -- Barriers to the success of health ICT implementations: a report from Norway -- Cloud computing in healthcare: a space of opportunities and challenges -- Development of a web portal using open source information visualization libraries -- Midwifery education introduce the internet of things -- Medbioinformatics: developing integrative bioinformatics applications for personalized medicine -- Incorporating pharmacy dispensing records into medical records: usability challenges -- Toward a virtual community of healthcare facilities: virtual lab -- Statistical classification of dyscalculia symptoms using smartphones and behaviour of magnocellular cells -- Internet of things & personalized healthcare -- Fetching connected pedometer data to analyze patients walking -- Consensus on Norwegian archetypes -- Empowering patients to choose appropriate and safe hospital services.

~РУБ DDC 610.285

Рубрики: Medical informatics

   Internet of things


   Medical Informatics.


   Biomedical Technology--trends.


   Wireless Technology--trends.


   Internet of things.


   Medical informatics.


   HEALTH & FITNESS / Holism


   HEALTH & FITNESS / Reference


   MEDICAL / Alternative Medicine


   MEDICAL / Atlases


   MEDICAL / Essays


   MEDICAL / Family & General Practice


   MEDICAL / Holistic Medicine


   MEDICAL / Osteopathy


Аннотация: "The current trend in health and social care systems is a shift from care provision to citizen-driven health. Only a few years ago, the high-tech devices used in healthcare were limited to health cards and personal portable devices. These have since evolved dramatically to include wearables, sensors and devices for measuring health values. The application of such technologies has, for the most part been welcomed by both patients and professionals. It is the fact that these devices can be connected to and communicate with other connected devices and systems which has been the game changer in healthcare technology, not least because it has empowered and will empower patients to take more control of their own healthcare management. This book presents the proceedings of the Special Topic Conference (STC) of the European Federation for Medical Informatics (EFMI), held in Paris, France, in April 2016. The special topic this year is 'Transforming Healthcare with the Internet of Things'. The papers are divided into four sections: transforming healthcare with the Internet of things; societal dimensions of the Internet of things; ontology and decision support; and clinical information systems and data reuse; with a further section for poster presentations. The book will be of interest to all those involved in the provision and delivery of technology-based healthcare"--Publisher's description.

Доп.точки доступа:
Hofdijk, Jacob, \editor.\

DDC 006.2/2
E 45

Elk, Klaus,.
    Embedded software for the IoT / / Klaus Elk. - Third edition. - Boston : : Walter de Gruyter Inc.,, ©2019. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B0DDC28E-7823-4B20-917B-D3A65D77CB12. - ISBN 9781547401024 (electronic bk.). - ISBN 1547401028 (electronic bk.). - ISBN 9781547401048 (electronic bk.). - ISBN 1547401044 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed March 29, 2019)

~РУБ DDC 006.2/2

Рубрики: Embedded computer systems.

   Internet of things.


   COMPUTERS / General.


Elk, Klaus,. Embedded software for the IoT / [Электронный ресурс] / Klaus Elk., ©2019. - 1 online resource с.

4.

Elk, Klaus,. Embedded software for the IoT / [Электронный ресурс] / Klaus Elk., ©2019. - 1 online resource с.


DDC 006.2/2
E 45

Elk, Klaus,.
    Embedded software for the IoT / / Klaus Elk. - Third edition. - Boston : : Walter de Gruyter Inc.,, ©2019. - 1 online resource. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/B0DDC28E-7823-4B20-917B-D3A65D77CB12. - ISBN 9781547401024 (electronic bk.). - ISBN 1547401028 (electronic bk.). - ISBN 9781547401048 (electronic bk.). - ISBN 1547401044 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed March 29, 2019)

~РУБ DDC 006.2/2

Рубрики: Embedded computer systems.

   Internet of things.


   COMPUTERS / General.


DDC 004.678
S 20

Santos, Maximiliano.
    Hands-On IoT Solutions with Blockchain : : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. / Maximiliano. Santos, Moura, Enio. - Birmingham : : Packt Publishing Ltd,, 2019. - 1 online resource (197 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/718792DB-A651-43D5-89E8-382D74C5C16D. - ISBN 1789133262. - ISBN 9781789133264 (electronic bk.)
Further reading. Print version record.
Параллельные издания: Print version: : Santos, Maximiliano. Hands-On IoT Solutions with Blockchain : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. - Birmingham : Packt Publishing Ltd, ©2019. - ISBN 9781789132243
    Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Understanding IoT and Developing Devices on the IBM Watson IoT Platform; What is IoT?; Common business use cases of IoT; Connected car; Connected persons; Technical elements in IoT ; Devices; Edge computing; Networking; Wireless (Wi-Fi) or cabled network; Cellular/mobile network; Low-power wide-area network (LPWAN); LoRa or LoRaWAN; Network summary; Application protocols; MQTT; Analytics and AI; IBM Watson IoT Platform features; Features; Dashboard; Devices, gateways, and applications
SecurityCreating your first IoT solution; Creating a gateway; Creating an application; Creating a device; Summary; Further reading; Chapter 2: Creating Your First IoT Solution; Technical requirements; The first IoT solution -- the gardening solution; Requirements overview; Solution overview; Selecting the equipment; Intel Edison; Arduino breakout board ; Grove system; Grove base shield for Arduino; Grove sensors; Grove button; Grove relay; Wiring the device; Coding the device firmware; Measuring soil moisture; Measuring environmental temperature; Turning on the relay; Publishing events
Monitoring the eventsSubscribing to actions; Creating the backend application; Creating a Cloud Foundry application in the IBM Cloud Platform; Uploading the code; Summary; Further reading; Chapter 3: Explaining Blockchain Technology and Working with Hyperledger; What is blockchain?; Blockchain and Hyperledger; Hyperledger projects; Hyperledger Sawtooth framework; Hyperledger Iroha framework; Hyperledger Composer tool; Hyperledger Burrow framework; Hyperledger Fabric; Member or peer; Certificate Authority (CA); Ordering Cluster; SDK/API; Selecting a good use case
Blockchain -- food tracking use caseSummary; Questions; Further reading; Chapter 4: Creating Your Own Blockchain Network; Prerequisites; Creating your own blockchain network with Hyperledger Composer; Accessing Hyperledger Composer; Exploring the structure of a sample blockchain network; Installing your own blockchain network using Hyperledger Fabric and Composer; Setting up Docker; Installing Hyperledger Composer; Components; Step 1 -- Setting up CLI Tools; Step 2 -- Setting up Playground; Step 3 -- Hyperledger Fabric; Step 4 -- IDE ; Installing Hyperledger Fabric 1.3 using Docker
Deploying Hyperledger Fabric 1.3 to a Kubernetes environmentSummary; Further reading; Chapter 5: Addressing Food Safety -- Building around the Blockchain; Regulations, challenges, and concerns in the modern food chain; Challenges regarding food safety; Food safety regulations -- ISO 22000; How blockchain and IoT can help in a food chain; Food ecosystem; Opportunities and challenges in a food ecosystem; Farmers; Food manufacturers; Regulators; Transporters (transportation companies); Stores and supermarkets; Customer; Is the food chain a good use case for IoT and blockchain technology?; Summary

~РУБ DDC 004.678

Рубрики: Internet of things.

   Blockchains (Databases)


   Blockchains (Databases)


   Internet of things.


Аннотация: IoT and Blockchain are not limited to certain industries or use cases. Almost any business with a network and IoT device can reduce costs, improve business efficiency, and remove single points of failure in networks by implementing Blockchain. This book will help you implement an end-to-end Blockchain and IoT solution using best practices.

Доп.точки доступа:
Moura, Enio.

Santos, Maximiliano. Hands-On IoT Solutions with Blockchain : [Электронный ресурс] : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. / Maximiliano. Santos, Moura, Enio., 2019. - 1 online resource (197 pages) с. (Введено оглавление)

5.

Santos, Maximiliano. Hands-On IoT Solutions with Blockchain : [Электронный ресурс] : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. / Maximiliano. Santos, Moura, Enio., 2019. - 1 online resource (197 pages) с. (Введено оглавление)


DDC 004.678
S 20

Santos, Maximiliano.
    Hands-On IoT Solutions with Blockchain : : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. / Maximiliano. Santos, Moura, Enio. - Birmingham : : Packt Publishing Ltd,, 2019. - 1 online resource (197 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/718792DB-A651-43D5-89E8-382D74C5C16D. - ISBN 1789133262. - ISBN 9781789133264 (electronic bk.)
Further reading. Print version record.
Параллельные издания: Print version: : Santos, Maximiliano. Hands-On IoT Solutions with Blockchain : Discover How Converging IoT and Blockchain Can Help You Build Effective Solutions. - Birmingham : Packt Publishing Ltd, ©2019. - ISBN 9781789132243
    Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Understanding IoT and Developing Devices on the IBM Watson IoT Platform; What is IoT?; Common business use cases of IoT; Connected car; Connected persons; Technical elements in IoT ; Devices; Edge computing; Networking; Wireless (Wi-Fi) or cabled network; Cellular/mobile network; Low-power wide-area network (LPWAN); LoRa or LoRaWAN; Network summary; Application protocols; MQTT; Analytics and AI; IBM Watson IoT Platform features; Features; Dashboard; Devices, gateways, and applications
SecurityCreating your first IoT solution; Creating a gateway; Creating an application; Creating a device; Summary; Further reading; Chapter 2: Creating Your First IoT Solution; Technical requirements; The first IoT solution -- the gardening solution; Requirements overview; Solution overview; Selecting the equipment; Intel Edison; Arduino breakout board ; Grove system; Grove base shield for Arduino; Grove sensors; Grove button; Grove relay; Wiring the device; Coding the device firmware; Measuring soil moisture; Measuring environmental temperature; Turning on the relay; Publishing events
Monitoring the eventsSubscribing to actions; Creating the backend application; Creating a Cloud Foundry application in the IBM Cloud Platform; Uploading the code; Summary; Further reading; Chapter 3: Explaining Blockchain Technology and Working with Hyperledger; What is blockchain?; Blockchain and Hyperledger; Hyperledger projects; Hyperledger Sawtooth framework; Hyperledger Iroha framework; Hyperledger Composer tool; Hyperledger Burrow framework; Hyperledger Fabric; Member or peer; Certificate Authority (CA); Ordering Cluster; SDK/API; Selecting a good use case
Blockchain -- food tracking use caseSummary; Questions; Further reading; Chapter 4: Creating Your Own Blockchain Network; Prerequisites; Creating your own blockchain network with Hyperledger Composer; Accessing Hyperledger Composer; Exploring the structure of a sample blockchain network; Installing your own blockchain network using Hyperledger Fabric and Composer; Setting up Docker; Installing Hyperledger Composer; Components; Step 1 -- Setting up CLI Tools; Step 2 -- Setting up Playground; Step 3 -- Hyperledger Fabric; Step 4 -- IDE ; Installing Hyperledger Fabric 1.3 using Docker
Deploying Hyperledger Fabric 1.3 to a Kubernetes environmentSummary; Further reading; Chapter 5: Addressing Food Safety -- Building around the Blockchain; Regulations, challenges, and concerns in the modern food chain; Challenges regarding food safety; Food safety regulations -- ISO 22000; How blockchain and IoT can help in a food chain; Food ecosystem; Opportunities and challenges in a food ecosystem; Farmers; Food manufacturers; Regulators; Transporters (transportation companies); Stores and supermarkets; Customer; Is the food chain a good use case for IoT and blockchain technology?; Summary

~РУБ DDC 004.678

Рубрики: Internet of things.

   Blockchains (Databases)


   Blockchains (Databases)


   Internet of things.


Аннотация: IoT and Blockchain are not limited to certain industries or use cases. Almost any business with a network and IoT device can reduce costs, improve business efficiency, and remove single points of failure in networks by implementing Blockchain. This book will help you implement an end-to-end Blockchain and IoT solution using best practices.

Доп.точки доступа:
Moura, Enio.

DDC 006.3
K 20

Kapoor, Amita.
    HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT [[electronic resource] :] : expert techniques for developing smarter iot systems ... through machine learning and deep learning with py. / Amita. Kapoor. - [Place of publication not identified], : PACKT Publishing Limited,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C2650B66-A93F-47D0-97EB-028F6B414441. - ISBN 9781788832762 (electronic bk.). - ISBN 1788832760 (electronic bk.)
Параллельные издания: Print version: :

~РУБ DDC 006.3

Рубрики: Artificial intelligence.

   Machine learning.


   Internet of things.


   Artificial intelligence.


   Internet of things.


   Machine learning.


   COMPUTERS / General


Kapoor, Amita. HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT [[electronic resource] :] : expert techniques for developing smarter iot systems ... through machine learning and deep learning with py. / Amita. Kapoor, 2019. - 1 online resource с.

6.

Kapoor, Amita. HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT [[electronic resource] :] : expert techniques for developing smarter iot systems ... through machine learning and deep learning with py. / Amita. Kapoor, 2019. - 1 online resource с.


DDC 006.3
K 20

Kapoor, Amita.
    HANDS-ON ARTIFICIAL INTELLIGENCE FOR IOT [[electronic resource] :] : expert techniques for developing smarter iot systems ... through machine learning and deep learning with py. / Amita. Kapoor. - [Place of publication not identified], : PACKT Publishing Limited,, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C2650B66-A93F-47D0-97EB-028F6B414441. - ISBN 9781788832762 (electronic bk.). - ISBN 1788832760 (electronic bk.)
Параллельные издания: Print version: :

~РУБ DDC 006.3

Рубрики: Artificial intelligence.

   Machine learning.


   Internet of things.


   Artificial intelligence.


   Internet of things.


   Machine learning.


   COMPUTERS / General


DDC 004.67/82
H 22


    Handbook of research on cloud computing and big data applications in IoT / / B.B. Gupta and Dharma P. Agrawal, editors. - Hershey, PA : : Engineering Science Reference, , an imprint of IGI Global,, [2019]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7191553B-2E93-4412-805E-7B4E4B428545. - ISBN 9781522584087 (electronic bk.). - ISBN 1522584080 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Handbook of research on cloud computing and big data applications in IoT. - Hershey, PA : Engineering Science Reference, , an imprint of IGI Global, [2019]. - ISBN 9781522584070

~РУБ DDC 004.67/82

Рубрики: Cloud computing.

   Big data.


   Internet of things.


   Big data.


   Cloud computing.


   Internet of things.


   COMPUTERS / Computer Literacy


   COMPUTERS / Computer Science


   COMPUTERS / Data Processing


   COMPUTERS / Hardware / General


   COMPUTERS / Information Technology


   COMPUTERS / Machine Theory


   COMPUTERS / Reference


Аннотация: "This book examines the latest research results on cloud computing and explores the broad applicability and scope of these trends on an international scale, venturing into the hot-button issue of IT services evolution and what we need to do to be prepared for future developments in cloud computing. It also explores big data applications in IoT"--

Доп.точки доступа:
Gupta, B. B., (1982-) \editor.\

Handbook of research on cloud computing and big data applications in IoT / [Электронный ресурс] / B.B. Gupta and Dharma P. Agrawal, editors., [2019]. - 1 online resource. с.

7.

Handbook of research on cloud computing and big data applications in IoT / [Электронный ресурс] / B.B. Gupta and Dharma P. Agrawal, editors., [2019]. - 1 online resource. с.


DDC 004.67/82
H 22


    Handbook of research on cloud computing and big data applications in IoT / / B.B. Gupta and Dharma P. Agrawal, editors. - Hershey, PA : : Engineering Science Reference, , an imprint of IGI Global,, [2019]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7191553B-2E93-4412-805E-7B4E4B428545. - ISBN 9781522584087 (electronic bk.). - ISBN 1522584080 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Handbook of research on cloud computing and big data applications in IoT. - Hershey, PA : Engineering Science Reference, , an imprint of IGI Global, [2019]. - ISBN 9781522584070

~РУБ DDC 004.67/82

Рубрики: Cloud computing.

   Big data.


   Internet of things.


   Big data.


   Cloud computing.


   Internet of things.


   COMPUTERS / Computer Literacy


   COMPUTERS / Computer Science


   COMPUTERS / Data Processing


   COMPUTERS / Hardware / General


   COMPUTERS / Information Technology


   COMPUTERS / Machine Theory


   COMPUTERS / Reference


Аннотация: "This book examines the latest research results on cloud computing and explores the broad applicability and scope of these trends on an international scale, venturing into the hot-button issue of IT services evolution and what we need to do to be prepared for future developments in cloud computing. It also explores big data applications in IoT"--

Доп.точки доступа:
Gupta, B. B., (1982-) \editor.\

DDC 005.8
R 29

Razzaque, Mohammad Abdur.
    Hands-On Deep Learning for IoT : : Train Neural Network Models to Develop Intelligent IoT Applications / / Mohammad Abdur Razzaque, Md. Rezaul Karim. - Birmingham : : Packt Publishing, Limited,, 2019. - 1 online resource (298 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BAAD574-2EC1-45D5-9DA3-DADF01562FF9. - ISBN 1789616069. - ISBN 9781789616064 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Karim, Rezaul. Hands-On Deep Learning for IoT : Train Neural Network Models to Develop Intelligent IoT Applications. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781789616132
    Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks; Chapter 1: The End-to-End Life Cycle of the IoT; The E2E life cycle of the IoT; The three-layer E2E IoT life cycle; The five-layer IoT E2E life cycle; IoT system architectures; IoT application domains; The importance of analytics in IoT; The motivation to use DL in IoT data analytics; The key characteristics and requirements of IoT data; Real-life examples of fast and streaming IoT data; Real-life examples of IoT big data
AutoencodersConvolutional neural networks; Recurrent neural networks; Emergent architectures; Residual neural networks; Generative adversarial networks; Capsule networks; Neural networks for clustering analysis; DL frameworks and cloud platforms for IoT; Summary; Section 2: Hands-On Deep Learning Application Development for IoT; Chapter 3: Image Recognition in IoT; IoT applications and image recognition; Use case one -- image-based automated fault detection; Implementing use case one; Use case two -- image-based smart solid waste separation; Implementing use case two
Transfer learning for image recognition in IoTCNNs for image recognition in IoT applications; Collecting data for use case one; Exploring the dataset from use case one; Collecting data for use case two; Data exploration of use case two; Data pre-processing; Models training; Evaluating models; Model performance (use case one); Model performance (use case two); Summary; References; Chapter 4: Audio/Speech/Voice Recognition in IoT; Speech/voice recognition for IoT; Use case one -- voice-controlled smart light; Implementing use case one; Use case two -- voice-controlled home access
Implementing use case twoDL for sound/audio recognition in IoT; ASR system model; Features extraction in ASR; DL models for ASR; CNNs and transfer learning for speech recognition in IoT applications; Collecting data; Exploring data; Data preprocessing; Models training; Evaluating models; Model performance (use case 1); Model performance (use case 2); Summary; References; Chapter 5: Indoor Localization in IoT; An overview of indoor localization; Techniques for indoor localization; Fingerprinting; DL-based indoor localization for IoT; K-nearest neighbor (k-NN) classifier; AE classifier
Example -- Indoor localization with Wi-Fi fingerprinting

~РУБ DDC 005.8

Рубрики: Internet of things.

   Internet of things.


Аннотация: Reference; Chapter 2: Deep Learning Architectures for IoT; A soft introduction to ML; Working principle of a learning algorithm; General ML rule of thumb; General issues in ML models; ML tasks; Supervised learning; Unsupervised learning; Reinforcement learning; Learning types with applications; Delving into DL; How did DL take ML to the next level?; Artificial neural networks; ANN and the human brain; A brief history of ANNs; How does an ANN learn?; Training a neural network; Weight and bias initialization; Activation functions; Neural network architectures; Deep neural networks
This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.

Доп.точки доступа:
Karim, Md. Rezaul

Razzaque, Mohammad Abdur. Hands-On Deep Learning for IoT : [Электронный ресурс] : Train Neural Network Models to Develop Intelligent IoT Applications / / Mohammad Abdur Razzaque, Md. Rezaul Karim., 2019. - 1 online resource (298 pages) с. (Введено оглавление)

8.

Razzaque, Mohammad Abdur. Hands-On Deep Learning for IoT : [Электронный ресурс] : Train Neural Network Models to Develop Intelligent IoT Applications / / Mohammad Abdur Razzaque, Md. Rezaul Karim., 2019. - 1 online resource (298 pages) с. (Введено оглавление)


DDC 005.8
R 29

Razzaque, Mohammad Abdur.
    Hands-On Deep Learning for IoT : : Train Neural Network Models to Develop Intelligent IoT Applications / / Mohammad Abdur Razzaque, Md. Rezaul Karim. - Birmingham : : Packt Publishing, Limited,, 2019. - 1 online resource (298 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4BAAD574-2EC1-45D5-9DA3-DADF01562FF9. - ISBN 1789616069. - ISBN 9781789616064 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Karim, Rezaul. Hands-On Deep Learning for IoT : Train Neural Network Models to Develop Intelligent IoT Applications. - Birmingham : Packt Publishing, Limited, ©2019. - ISBN 9781789616132
    Содержание:
Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks; Chapter 1: The End-to-End Life Cycle of the IoT; The E2E life cycle of the IoT; The three-layer E2E IoT life cycle; The five-layer IoT E2E life cycle; IoT system architectures; IoT application domains; The importance of analytics in IoT; The motivation to use DL in IoT data analytics; The key characteristics and requirements of IoT data; Real-life examples of fast and streaming IoT data; Real-life examples of IoT big data
AutoencodersConvolutional neural networks; Recurrent neural networks; Emergent architectures; Residual neural networks; Generative adversarial networks; Capsule networks; Neural networks for clustering analysis; DL frameworks and cloud platforms for IoT; Summary; Section 2: Hands-On Deep Learning Application Development for IoT; Chapter 3: Image Recognition in IoT; IoT applications and image recognition; Use case one -- image-based automated fault detection; Implementing use case one; Use case two -- image-based smart solid waste separation; Implementing use case two
Transfer learning for image recognition in IoTCNNs for image recognition in IoT applications; Collecting data for use case one; Exploring the dataset from use case one; Collecting data for use case two; Data exploration of use case two; Data pre-processing; Models training; Evaluating models; Model performance (use case one); Model performance (use case two); Summary; References; Chapter 4: Audio/Speech/Voice Recognition in IoT; Speech/voice recognition for IoT; Use case one -- voice-controlled smart light; Implementing use case one; Use case two -- voice-controlled home access
Implementing use case twoDL for sound/audio recognition in IoT; ASR system model; Features extraction in ASR; DL models for ASR; CNNs and transfer learning for speech recognition in IoT applications; Collecting data; Exploring data; Data preprocessing; Models training; Evaluating models; Model performance (use case 1); Model performance (use case 2); Summary; References; Chapter 5: Indoor Localization in IoT; An overview of indoor localization; Techniques for indoor localization; Fingerprinting; DL-based indoor localization for IoT; K-nearest neighbor (k-NN) classifier; AE classifier
Example -- Indoor localization with Wi-Fi fingerprinting

~РУБ DDC 005.8

Рубрики: Internet of things.

   Internet of things.


Аннотация: Reference; Chapter 2: Deep Learning Architectures for IoT; A soft introduction to ML; Working principle of a learning algorithm; General ML rule of thumb; General issues in ML models; ML tasks; Supervised learning; Unsupervised learning; Reinforcement learning; Learning types with applications; Delving into DL; How did DL take ML to the next level?; Artificial neural networks; ANN and the human brain; A brief history of ANNs; How does an ANN learn?; Training a neural network; Weight and bias initialization; Activation functions; Neural network architectures; Deep neural networks
This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.

Доп.точки доступа:
Karim, Md. Rezaul

DDC 004.67/82
A 71


    Architecture and security issues in fog computing applications / / [edited by] Sam Goundar, S. Bharath Bhushan, Praveen Kumar Rayani. - 4018/978-1-7998-0194-8. - Hershey PA : : Engineering Science Reference, an imprint of IGI Global,, ©2020. - 1 online resource (205 pages) : : il ( час. мин.), 4018/978-1-7998-0194-8. - (Advances in computer and electrical engineering (ACEE) Book series,). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/77A64CD9-3E47-4344-A273-C17341035686. - ISBN 1799801969 (electronic book). - ISBN 9781799801962 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Architecture and security issues in fog computing applications. - Hershey PA : Engineering Science Reference, [2020]. - ISBN 9781799801955
    Содержание:
1. Fog resource allocation through machine learning algorithm / Gowri A. S., Shanthi Bala P. -- 2. A novel resource management framework for fog computing by using machine learning algorithm / Shanthi Thangam Manukumar, Vijayalakshmi Muthuswamy -- 3. [Retracted] Security issues in fog computing for Internet of Things / D.N. Kartheek, Bharath Bhushan -- 4. Analysis of identity-based cryptography in Internet of Things (IoT) / Aravind Karrothu, Jasmine Norman -- 5. Cloud security architecture based on fully homomorphic encryption / Vaishali Ravindra Thakare, K. John Singh -- 6. Object detection in fog computing using machine learning algorithms / Peyakunta Bhargavi, Singaraju Jyothi -- 7. Distributed intelligence platform to the edge computing / Xalphonse Inbaraj -- 8. Internet of Things and fog computing applications in intelligent transportation systems / Korupalli V. Rajesh Kumar, K. Dinesh Kumar, Ravi Kumar Poluru, Syed Muzamil Basha, M. Praveen Kumar Reddy -- 9. Agribot / Ravi Kumar Poluru, M. Praveen Kumar Reddy, Rajesh Kaluri, Kuruva Lakshmanna, G. Thippa Reddy -- 10. Towards efficient resource management in fog computing : a survey and future directions / M. Sudhakara, K. Dinesh Kumar, Ravi Kumar Poluru, R. Lokesh Kumar, S. Bharath Bhushan.

~РУБ DDC 004.67/82

Рубрики: Cloud computing.

   Cloud computing--Security measures.


   Internet of things.


   Cloud computing.


   Internet of things.


Аннотация: As the progression of the internet continues, society is finding easier, quicker ways of simplifying their needs with the use of technology. With the growth of lightweight devices, such as smart phones and wearable devices, highly configured hardware is in heightened demand in order to process the large amounts of raw data that are acquired. Connecting these devices to fog computing can reduce bandwidth and latency for data transmission when associated with centralized cloud solutions and uses machine learning algorithms to handle large amounts of raw data. The risks that accompany this advancing technology, however, have yet to be explored. Architecture and Security Issues in Fog Computing Applications is a pivotal reference source that provides vital research on the architectural complications of fog processing and focuses on security and privacy issues in intelligent fog applications. While highlighting topics such as machine learning, cyber-physical systems, and security applications, this publication explores the architecture of intelligent fog applications enabled with machine learning. This book is ideally designed for IT specialists, software developers, security analysts, software engineers, academicians, students, and researchers seeking current research on network security and wireless systems.

Доп.точки доступа:
Goundar, Sam, (1967-) \editor.\
Bhushan, S. Bharath, (1990-) \editor.\
Rayani, Praveen Kumar, (1989-) \editor.\
IGI Global,

Architecture and security issues in fog computing applications / [Электронный ресурс] / [edited by] Sam Goundar, S. Bharath Bhushan, Praveen Kumar Rayani., ©2020. - 1 online resource (205 pages) : с. (Введено оглавление)

9.

Architecture and security issues in fog computing applications / [Электронный ресурс] / [edited by] Sam Goundar, S. Bharath Bhushan, Praveen Kumar Rayani., ©2020. - 1 online resource (205 pages) : с. (Введено оглавление)


DDC 004.67/82
A 71


    Architecture and security issues in fog computing applications / / [edited by] Sam Goundar, S. Bharath Bhushan, Praveen Kumar Rayani. - 4018/978-1-7998-0194-8. - Hershey PA : : Engineering Science Reference, an imprint of IGI Global,, ©2020. - 1 online resource (205 pages) : : il ( час. мин.), 4018/978-1-7998-0194-8. - (Advances in computer and electrical engineering (ACEE) Book series,). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/77A64CD9-3E47-4344-A273-C17341035686. - ISBN 1799801969 (electronic book). - ISBN 9781799801962 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Architecture and security issues in fog computing applications. - Hershey PA : Engineering Science Reference, [2020]. - ISBN 9781799801955
    Содержание:
1. Fog resource allocation through machine learning algorithm / Gowri A. S., Shanthi Bala P. -- 2. A novel resource management framework for fog computing by using machine learning algorithm / Shanthi Thangam Manukumar, Vijayalakshmi Muthuswamy -- 3. [Retracted] Security issues in fog computing for Internet of Things / D.N. Kartheek, Bharath Bhushan -- 4. Analysis of identity-based cryptography in Internet of Things (IoT) / Aravind Karrothu, Jasmine Norman -- 5. Cloud security architecture based on fully homomorphic encryption / Vaishali Ravindra Thakare, K. John Singh -- 6. Object detection in fog computing using machine learning algorithms / Peyakunta Bhargavi, Singaraju Jyothi -- 7. Distributed intelligence platform to the edge computing / Xalphonse Inbaraj -- 8. Internet of Things and fog computing applications in intelligent transportation systems / Korupalli V. Rajesh Kumar, K. Dinesh Kumar, Ravi Kumar Poluru, Syed Muzamil Basha, M. Praveen Kumar Reddy -- 9. Agribot / Ravi Kumar Poluru, M. Praveen Kumar Reddy, Rajesh Kaluri, Kuruva Lakshmanna, G. Thippa Reddy -- 10. Towards efficient resource management in fog computing : a survey and future directions / M. Sudhakara, K. Dinesh Kumar, Ravi Kumar Poluru, R. Lokesh Kumar, S. Bharath Bhushan.

~РУБ DDC 004.67/82

Рубрики: Cloud computing.

   Cloud computing--Security measures.


   Internet of things.


   Cloud computing.


   Internet of things.


Аннотация: As the progression of the internet continues, society is finding easier, quicker ways of simplifying their needs with the use of technology. With the growth of lightweight devices, such as smart phones and wearable devices, highly configured hardware is in heightened demand in order to process the large amounts of raw data that are acquired. Connecting these devices to fog computing can reduce bandwidth and latency for data transmission when associated with centralized cloud solutions and uses machine learning algorithms to handle large amounts of raw data. The risks that accompany this advancing technology, however, have yet to be explored. Architecture and Security Issues in Fog Computing Applications is a pivotal reference source that provides vital research on the architectural complications of fog processing and focuses on security and privacy issues in intelligent fog applications. While highlighting topics such as machine learning, cyber-physical systems, and security applications, this publication explores the architecture of intelligent fog applications enabled with machine learning. This book is ideally designed for IT specialists, software developers, security analysts, software engineers, academicians, students, and researchers seeking current research on network security and wireless systems.

Доп.точки доступа:
Goundar, Sam, (1967-) \editor.\
Bhushan, S. Bharath, (1990-) \editor.\
Rayani, Praveen Kumar, (1989-) \editor.\
IGI Global,

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