An Industrial Iot Approach for Pharmaceutical Industry Growth

Volume 2
Erscheinungsjahr 2020
ISBN: 978-0-12-821326-1
Verlag: Elsevier Health Sciences

Buch, Englisch, 382 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 590 g

An Industrial IoT Approach for Pharmaceutical Industry Growth, Volume Two uses an innovative approach to explore how the Internet of Things (IoT) and big data can improve approaches 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. Using clear 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 multiple perspectives on how to integrate the Internet of Things into pharmaceutical manufacturing.This book represents a useful resource for researchers in pharmaceutical sciences, information and communication technologies, and those who specialize in healthcare and pharmacovigilance.

Autoren/Hrsg.

Emilia Balas, Valentina

Solanki, Vijender Kumar

Kumar, Raghvendra

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbanken & das Web
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Pharmazie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion User Interface Design & Benutzerfreundlichkeit
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Geisteswissenschaften Design Interface Design, Interaktionsdesign, Application Design
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Fertigungsindustrie Pharmaindustrie

Inhaltsverzeichnis

1. Medical big data mining and processing in e-health care
A. Vidhyalakshmi and C. Priya
2. Brain_computer interfaces and their applications
Vaibhaw, Jay Sarraf and P.K. Pattnaik
3. Transforming pharma logistics with the Internet of things
Anjali Jain and Deepak Kumar Sharma
4. Drug identification and interaction checking using the Internet of Things
K. Eswari and C. Priya
5. Accelerating data acquisition process in the pharmaceutical industry using Internet of Things
T. Poongodi, T. Lucia Agnesbeena, S. Janarthanan and Balamurugan Balusamy
6. Internet of Things applications in the pharmaceutical industry
Deepak Kumar Sharma, Saakshi Bhargava and Kartik Singhal
7. Internet of Things: from hype to reality
Arun Kumar Singh, Neda Firoz, Ashish Tripathi, K.K. Singh, Pushpa Choudhary and Prem Chand Vashist
8. The Internet of Things: looking beyond the hype 231
Devender Bhushan and Rashmi Agrawal
9. Internet of Things: the new Rx for pharmaceutical manufacturing and supply chains 257
Deepak Kumar Sharma, Prachi Gupta and Priety
10. Smart cervical band: an Internet of Things- and artificial intelligence-based neck pain and cervical spondylosis healing system
Vikram Puri, Chung Van Le, Sandeep Singh Jagdev and Long Cu Kim
11. Medical data analysis in eHealth care for industry perspectives: applications 305
Chandrakanta Mahanty and Brojo Kishore Mishra

Über Autor(innen)

Kumar, Raghvendra
Raghvendra Kumar is working as an Associate Professor in Computer Science and Engineering Department at GIET University, India. He received BTech, MTech, and PhD in Computer Science and Engineering, India, and Postdoc Fellow from the Institute of Information Technology, Virtual Reality and Multimedia, Vietnam. He has published a number of research papers in international journals and conferences. His research 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 IoT, data mining, and biomedical engineering.

Solanki, Vijender Kumar
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.