An Industrial IoT Approach for Pharmaceutical Industry Growth

Volume 2
 
 
Academic Press Inc
  • erscheint ca. am 1. Juni 2020
 
  • Buch
  • |
  • Softcover
  • |
  • 470 Seiten
978-0-12-821326-1 (ISBN)
 
An Industrial IoT Approach for Pharmaceutical Industry Growth uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches, create efficiencies, and make discoveries. Rapid growth of the IoT has encouraged many companies in the manufacturing sector to make use of this technology to unlock its potential. Pharmaceutical manufacturing companies are no exception to this, as IoT has the potential to revolutionize aspects of the pharmaceutical manufacturing process from drug discovery to manufacturing. IoT in pharmaceutical manufacturing coupled with big data and advanced analytics can scrutinize massive amounts of data that can be harnessed to improve manufacturing efficiency. Using clear, concise language and real world case studies, this book discusses systems level from both a human-factors point of view and the perspective of networking, databases, privacy and anti-spoofing. The wide variety in topics presented offers readers multiple perspectives on a how to integrate the Internet of Things into pharmaceutical manufacturing. An Industrial IoT Approach for Pharmaceutical Industry Growth is a useful resource for researchers in pharmaceutical sciences, information and communication technologies specialized in healthcare, and pharmacovigilance specialists.



- Emphasis on improving the efficiency of pharmaceutical manufacturing through IoT/Big Data approach?
- Exploration of cutting-edge technologies through sensor enabled environment in the pharmaceutical industry?
- Discusses systems level both from a human-factors point of view and the perspective of networking, databases, privacy and anti-spoofing
  • Englisch
  • San Diego
  • |
  • USA
Elsevier Science Publishing Co Inc
  • Für Beruf und Forschung
Approx. 160 illustrations (45 in full color)
  • Höhe: 235 mm
  • |
  • Breite: 191 mm
978-0-12-821326-1 (9780128213261)
Valentina E. Balas, Ph. D, is currently Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 270 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in Chief of International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE), member in Editorial Board member of several national and international journals and is an evaluator expert for national and international projects. She served as General Chair of the International Workshop Soft Computing and Applications in seven editions 2005-2016 held in Romania and Hungary. Dr. Balas participated in many international conferences as an Organizer, Session Chair and member on the International Program Committee. Now she is working on a national project with EU funding support: BioCell-NanoART = Novel Bio-inspired Cellular Nano-Architectures - For Digital Integrated Circuits, 2M Euro from National Authority for Scientific Research and Innovation. She is a member of EUSFLAT, ACM and a Senior Member, IEEE, member in TC - Fuzzy Systems (IEEE CIS), member in TC - Emergent Technologies (IEEE CIS), member in TC - Soft Computing (IEEE SMCS). Dr. Balas was Vice-president (Awards) of IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, India. Vijender Kumar Solanki, Ph.D., is an Associate Professor in Department of Computer Science & Engineering, CMR Institute of Technology (Autonomous), Hyderabad, TS, India. He has more than 11 years of academic experience in network security, IoT, Big Data, Smart City and IT. Prior to his current role, he was associated with Apeejay Institute of Technology, Greater Noida, UP, KSRCE (Autonomous) Institution, Tamilnadu, India & Institute of Technology & Science, Ghaziabad, UP, India. He has attended an orientation program at UGC-Academic Staff College, University of Kerala, Thiruvananthapuram, Kerala & Refresher course at Indian Institute of Information Technology, Allahabad, UP, India.He has authored or co-authored more than 25 research articles that are published in journals, books and conference proceedings. He has edited or co-edited 4 books in the area of Information Technology. He teaches graduate & post graduate level courses in IT at ITS. He received Ph.D in Computer Science and Engineering from Anna University, Chennai, India in 2017 and ME, MCA from Maharishi Dayanand University, Rohtak, Haryana, India in 2007 and 2004, respectively and a bachelor's degree in Science from JLN Government College, Faridabad Haryana, India in 2001.He is Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242, Associate Editor in International Journal of Information Retrieval Research (IJIRR), IGI-GLOBAL, USA,ISSN: 2155-6377 | E-ISSN: 2155-6385 also serving editorial board members with many reputed journals. He has guest edited many volumes, with IGI-Global, USA, InderScience & Many more reputed publishers. Dr. Raghvendra Kumar is working as Associate Professor in Computer Science and Engineering Department at GIET University, India. He received B. Tech, M.Tech and Ph.D. in Computer Science and Engineering, India, and Postdoc Fellow from Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He serves as Series Editor Internet of Everything (IOE): Security and Privacy Paradigm, Green Engineering and Technology: Concepts and Applications, publishes by CRC press, Taylor & Francis Group, USA, and Bio-Medical Engineering: Techniques and Applications, Publishes by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He also serves as acquisition editor for Computer Science by Apple Academic Press, CRC Press, Taylor & Francis Group, USA. He has published number of research papers in international journal (SCI/SCIE/ESCI/Scopus) and conferences including IEEE and Springer as well as serve as organizing chair (RICE-2019, 2020), volume Editor (RICE-2018), Keynote speaker, session chair, Co-chair, publicity chair, publication chair, advisory board, Technical program Committee members in many international and national conferences and serve as guest editors in many special issues from reputed journals (Indexed By: Scopus, ESCI, SCI). He also published 13 chapters in edited book published by IGI Global, Springer and Elsevier. His researches areas are Computer Networks, Data Mining, cloud computing and Secure Multiparty Computations, Theory of Computer Science and Design of Algorithms. He authored and Edited 23 computer science books in field of Internet of Things, Data Mining, Biomedical Engineering, Big Data, Robotics, and IGI Global Publication, USA, IOS Press Netherland, Springer, Elsevier, CRC Press, USA. He is Managing Editor in International Journal of Machine Learning and Networked Collaborative Engineering (IJMLNCE) ISSN 2581-3242.
1. Medical Big Data Mining And Processing In E-Healthcare 2. Brain-Computer Interface and its Applications 3. Transforming Pharma Logistics with IoT 4. Drug identification and interaction checker by IoT 5. IoT and Data Acquisition in Pharmaceutical industry 6. IoT Applications in the Pharmaceutical Industry 7. Internet of Things: From Hype to Reality 8. The Internet of Things: Looking Beyond the Hype 9. Contribution of IoT to Pharmaceutical Industry 10. IoT the New Rx for Pharmaceutical Manufacturing and Supply Chains 11. IoT Application in Pharmaceutical Industry 12. Smart Cervical Band: An Internet of Things and Artificial Intelligence based Neck pain and Cervical Symbiosis Healer System 13. Medical Data Analysis in E-Healthcare for Industry Perspectives: Applications

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