Emergent Converging Technologies and Biomedical Systems

Select Proceedings of ETBS 2021
1. Auflage 2022
ISBN: 978-981-16-8776-1
Verlag: Springer Nature Singapore

Buch, Englisch, Band 841, 742 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1268 g

Reihe: Lecture Notes in Electrical Engineering

The book contains peer-reviewed proceedings of the International Conference on Emergent Converging Technologies and Biomedical Systems 2021. It includes papers on wireless multimedia networks, green wireless networks, electric vehicles, biomedical signal processing and instrumentation, wearable sensors for health care monitoring, biomedical imaging, & bio-materials, modeling and simulation in medicine biomedical and health informatics. The book will serve as a useful guide for educators, researchers, and developers working in the area of signal processing, imaging, computing, instrumentation, artificial intelligence, and their related applications. This book will also provide support and aid to the researchers involved in designing the latest advancements in healthcare technologies.

Zielgruppe

Research

Autoren/Hrsg.

Marriwala, N.

Mathapathi, Shivakumar

Tripathi, C. C.

Jain, Shruti

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Betriebliches Gesundheitsmanagement

Inhaltsverzeichnis

Performance and Security Issues of Integrating Cloud Computing with IoT: A Review.- Performance Analysis on Dermoscopic Images for Enhancing the Diagnostic Support System in Healthcare.- Social Cloud Computing: Architecture and Application.- A systematic approach for evading antiviruses using malware obfuscation.- Development of Wi-Fi based Weather Station WSN-node for Precision Irrigation in Agriculture 4.0.- Accelerating Polynomial Based Image Secret Sharing using Hadoop.- A Computational Model for Detection of Lung Diseases due to Forkhead Transcription Factors.

Über Autor(innen)

Nikhil Marriwala is an Assistant Professor at the Department of Electronics and Communication Engineering, University Institute of Engineering and Technology, Kurukshetra. He did his PhD. from the National Institute of Technology, Kurukshetra. He completed his post-graduation in electronics and communication engineering from IASE University, Rajasthan, and B. Tech. in electronics and instrumentation from MMEC, Kurukshetra. He has over 16 years of teaching and research experience. He has supervised over 31 students for their M. Tech. dissertation. He has over 30 publications and one patent published to his credit. His areas of interest are software-defined radios, wireless communication, fuzzy system design, and microprocessors.

C. C. Tripathi completed his Ph.D. in electronics from Kurukshetra University, Kurukshetra. Since 2016, he is working as a Director of the University Institute of Engineering Technology (an autonomous institute), KurukshetraUniversity, Kurukshetra. His research areas are microelectronics, RF MEMS for communication, and industrial consultancy. He has filled 1 patent and published over 80 papers journals and conference proceedings. Prof. Tripathi is an experienced professor with a demonstrated history of working in the higher education industry. He has been working extensively on graphene-based flexible electronics devices, sensors, etc.

Shruti Jain is an Associate Professor in the Department of Electronics and Communication Engineering at the Jaypee University of Information Technology, Waknaghat, India. Dr. Jain received her Doctor of Science (D. Sc.) in electronics and communication engineering. She has 16 years of teaching experience with three filed patents, over 120 journal publications, and 15 book chapters. She has also published nine books. Her research interests are image and signal processing, soft computing, bio-inspired computing, and computer-aided design of FPGA and VLSI circuits.

S. Mathapathi is an adjunct faculty member at multiple universities including the University of California San Diego, Sonoma State University, Santa Clara University, and he is also teaching at regional community academia including ethnically diverse institutions such as Ohlone and De-Anza College in California. Prof. Mathapathi has been a passionate educator for nearly 25 years of industry experience with a strong desire to help students recognize the connection between learning and Industry needs. His teaching and research areas include the internet of things, machine learning, artificial intelligence, cybersecurity, and Blockchain. He has also authored numerous articles published in prestigious journals. Prof. Mathapathi is also a team leader of the education cluster at the Global City Team Challenge project in collaboration with the National Institute of Standards and Technology (NIST), under the U.S Department of Commerce. He is the key contributor in creating tutorials, workshops, and practice use cases for smart cities. The workshop also discusses IoT standards and protocol which would help; community partners and city/municipality staff to get familiar with national as well as international IoT standards.