LIMITED OFFER
Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Real-Time Data Analytics for Large Scale Sensor Data
- 1st Edition - August 31, 2019
- Editors: Himansu Das, Nilanjan Dey, Valentina Emilia Balas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 8 0 1 4 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 8 2 4 2 - 0
Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, technique… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteReal-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.
- Examines IoT applications, the design of real-time intelligent systems, and how to manage the rapid growth of the large volume of sensor data
- Discusses intelligent management systems for applications such as healthcare, robotics and environment modeling
- Provides a focused approach towards the design and implementation of real-time intelligent systems for the management of sensor data in large-scale environments
Biomedical engineers, researchers in data analytics, Big Data, health care management and intelligent systems
1. Internet of Things in healthcare: Smart devices, sensors, and systems related to diseases and health conditions
2. Real-time data analytics in healthcare using the Internet of Things
3. Lightweight code self-verification using return-oriented programming in resilient IoT
4. Monte-Carlo Simulation models for reliability analysis of low-cost IoT communication networks in smart grid
5. Lightweight ciphertext-policy attribute-based encryption scheme for data privacy and security in cloud-assisted IoT
6. Soft sensor with shape descriptors for flame quality prediction based on LSTM regression
7. Communication-aware edge-centric knowledge dissemination in edge computing environments
8. An effective blockchain-based, decentralized application for smart building system management
9. Privacy and security of Internet of Things devices
10. Software-Defined Networking for the Internet of Things: Securing home networks using SDN
- No. of pages: 298
- Language: English
- Edition: 1
- Published: August 31, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128180143
- eBook ISBN: 9780128182420
HD
Himansu Das
Himansu Das is working as an as Assistant Professor in the School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India. He has received his B. Tech and M. Tech degree from Biju Pattnaik University of Technology (BPUT), Odisha, India. He has published several research papers in various international journals and conferences. He has also edited several books of international repute. He is associated with different international bodies as Editorial/Reviewer board member of various journals and conferences. He is a proficient in the field of Computer Science Engineering and served as an organizing chair, publicity chair and act as member of program committees of many national and international conferences. He is also associated with various educational and research societies like IACSIT, ISTE, UACEE, CSI, IET, IAENG, ISCA etc., His research interest includes Grid Computing, Cloud Computing, and Machine Learning. He has also 10 years of teaching and research experience in different engineering colleges.
Affiliations and expertise
Assistant Professor, Kalinga Institute of Industrial Technology University, Bhubaneswar, Odisha, IndiaND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence , IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.
Affiliations and expertise
Associate Professor, Department of Computer Science and Engineering, Techno International New Town, Kolkata, IndiaVB
Valentina Emilia Balas
Dr. Valentina Emilia Balas is currently a Full Professor at the Department of Automatics and Applied Software at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania. She holds a PhD cum laude in applied electronics and telecommunications from the Polytechnic University of Timisoara. Dr. Balas is the author of more than 350 research papers in refereed journals and for international conferences. Her research interests cover intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She is the Editor-in-Chief of the 'International Journal of Advanced Intelligence Paradigms' and the 'International Journal of Computational Systems Engineering', an editorial board member for several other national and international publications, as well as an expert evaluator for national and international projects and PhD theses. Dr. Balas is the Director of the Intelligent Systems Research Center and the Director of the Department of International Relations, Programs and Projects at the “Aurel Vlaicu” University of Arad. She served as the General Chair for nine editions of the International Workshop on Soft Computing Applications (SOFA) organized in 2005–2020 and held in Romania and Hungary. Dr. Balas participated in many international conferences as organizer, honorary chair, session chair, member in steering, advisory or international program committees, and keynote speaker. Now she is working on a national project funded by the European Union: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures. She is a member of the European Society for Fuzzy Logic and Technology, a member of the Society for Industrial and Applied Mathematics, a senior member of IEEE, a member of the IEEE Fuzzy Systems Technical Committee, the chair of Task Force 14 of the IEEE Emergent Technologies Technical Committee, a member of the IEEE Soft Computing Technical Committee. She is also the recipient of the "Tudor Tanasescu" prize from the Romanian Academy for contributions in the field of soft computing methods (2019).
Affiliations and expertise
Full Professor, Department of Automatics and Applied Software, Faculty of Engineering, "Aurel Vlaicu" University of Arad, Arad, RomaniaRead Real-Time Data Analytics for Large Scale Sensor Data on ScienceDirect