This book contains the proceedings of the KES International conferences on Innovation in Medicine and Healthcare (KES-InMed-19) and Intelligent Interactive Multimedia Systems and Services (KES-IIMSS-19), held on 17-19 June 2019 and co-located in St. Julians, on the island of Malta, as part of the KES Smart Digital Futures 2019 multi-theme conference.

The major areas covered by KES-InMed-19 include: Digital IT Architecture in Healthcare; Advanced ICT for Medical and Healthcare; Biomedical Engineering, Trends, Research and Technologies and Healthcare Support System. The major areas covered by KES-IIMSS-19 were: Interactive Technologies; Artificial Intelligence and Data Analytics; Intelligent Services and Architectures and Applications.

This book is of use to researchers in these vibrant areas, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.

Autorentext

Yen-Wei Chen was born in Hangzhou, China in 1962. He received his B.E. degree in 1985 from Kobe University, Kobe, Japan. He received his M.E. degree in 1987, and his D.E. degree in 1990, both from Osaka University, Osaka, Japan. He was a research fellow at the Institute of Laser Technology, Osaka, from 1991 to 1994. From October 1994 to March 2004, he was an Associate Professor and a Professor in the Department of Electrical and Electronic Engineering, University of the Ryukyus, Okinawa, Japan. He is currently a Professor at the College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan. He is also a Visiting Professor at the College of Computer Science and Technology, Zhejiang University, Hangzhou, China. He was a visiting scholar at Oxford University, Oxford, UK in 2003 and at Pennsylvania State University, Pennsylvania, USA in 2010. His research interests include medical image analysis and pattern recognition. He has published more than 300 research papers. He has received many distinguished awards including Best Scientific Paper Award of ICPR2013 and Outstanding Chinese Oversea Scholar Fund of Chinese Academy of Science. He is the Principal Investigator of several projects in biomedical engineering and image analysis, funded by the Japanese Government.

Alfred Zimmermann is a Professor at Reutlingen University, Germany. He is Director of Research and Speaker of the Doctoral Program for Services Computing at the Herman Hollerith Center, Boeblingen, Germany. His research is focused on digital transformation and digital enterprise architecture with decision analytics in close relationship with digital strategy and governance, software architecture and engineering, artificial intelligence, data analytics, Internet of Things, services computing, and cloud computing. He graduated in Medical Informatics at the University of Heidelberg, Germany and obtained his Ph.D. in Informatics from the University of Stuttgart, Germany. Besides his academic experience he has a strong practical background as a technology manager and leading consultant at Daimler AG, Germany. Professor Zimmermann keeps academic relations of his home university to the German Computer Science Society (GI), the Association for Computing Machinery (ACM) and the IEEE, where he is part of specific research groups, programs, and initiatives. He serves in different editorial boards and program committees, and publishes results from his research at conferences, workshops, as well as in books and journals. Additionally, he supports industrial cooperation research projects and public research programs.

Robert Howlett is the Executive Chair of KES International, a non-profit organization that facilitates knowledge transfer and the dissemination of research results in areas including Intelligent Systems, Sustainability, and Knowledge Transfer. He is a Visiting Professor at Bournemouth University in the UK. His technical expertise is in the use of intelligent systems to solve industrial problems. He has been successful in applying artificial intelligence, machine learning and related technologies to sustainability and renewable energy systems; condition monitoring, diagnostic tools and systems; and automotive electronics and engine management systems. His current research work is focussed on the use of smart microgrids to achieve reduced energy costs and lower carbon emissions in areas such as housing and protected horticulture.

Dr. Lakhmi C. Jain, Ph.D., M.E., B.E.(Hons), Fellow (Engineers Australia) is with the University of Technology Sydney, Australia, and Liverpool Hope University, UK. Professor Jain founded the KES International for providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies worldwide, KES facilitates international cooperation and generates synergy in teaching and research. KES regularly provides networking opportunities for professional community through one of the largest conferences of its kind in the area of KES. His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.

Inhalt

Part 1: KES-InMed-19 Proceedings.- Chapter 1. Development of a Prototype of a Fast Proximity Authentication System for Electronic Medical Record Terminals Based Virtual Desktop Interface.- Chapter 2. ArchiMate Business Model Patterns to e-Healthcare.- Chapter 3. Monetary and Health Benefits from Better Health Data: Estimating Lives and Dollars Saved from Universal Adoption of the Leapfrog Safety and Quality Standards.- Chapter 4. Success Factors for Realizing Regional Comprehensive Care by EHR with Administrative Data.- Chapter 5. Clinical Decision Support System with Electronic Health Record: Digitization of Research in Pharma.- Chapter 6. Data Augmentation for Building an Ensemble of Convolutional Neural Networks.- Chapter 7. Transfer Learning and Fusion Model for Classification of Epileptic PET Images.- Chapter 8. Multiphase Focal Liver Lesions Classification with Combined N-gram and BoVW.- Chapter 9. SWT-DCT Based Robust Watermarking for Medical Image.- Chapter 10. Watermarking Algorithm for Encrypted Medical Image Based on DCT-DFRFT.- Chapter 11. Logistic Map and Contourlet Based Robust Zero-watermark for Medical Images.- Chapter 12. A Sensor Platform for Non-Invasive Remote Monitoring of Older Adults in Real Time.- Chapter 13. Deep Learning for Detecting Breast Cancer Metastases on WSI.- Chapter 14. Advanced Image Processing Algorithms for Breast Cancer Decision Support and Information Management System.- Chapter 15. FDCT and Perceptual Hash Based Watermarking Algorithm for Medical Images.