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Blockchain-enhanced sensing as a service for smart supply chains: A decentralized IoT framework

AIP Conference Proceedings 2024年第1期3193卷

作者： Monika Sharma S. Sumithra N. Balakrishnan D. Chithra S. Vijayakumar Surrya Prakash DilliBabu R. Srinivasan V. Vijayan Department of Computer Engineering The Technological Institute of Textile and Sciences Bhiwani Haryana 127021 India Department of Electronics and Communication Engineering J.J.College of Engineering and Technology Trichy Tamil Nadu 620009 India Department of Master of Computer Application Sona College of Technology Salem Tamil Nadu 636005 India Department of Information Technology S.A.Engineesing College Thiruverkadu Tamil Nadu 600077 India Department of Mathematics R.M.K. Engineering College Kavarapettai Tamil Nadu 601206 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu 600062 India Department of Ancient Scinece Tamil University Thanjavur Tamilnadu India Department of Mechanical Engineering K.Ramakrishnan College of Technology Trichy Tamilnadu India

Utilizing the vast amounts of data acquired by sensor networks set up in various businesses is the foundation of smart supply chain services. When it comes to exchanging data, Sensing as a Service (S2aaS) is an intriguing pattern of IoT business models. Data security, performance, privacy, and single point of failure are just a few of the reasons why the present centralized Internet of Things (IoT) S2aaS models aren’t cut out for IoT large data sharing. We present a decentralized framework for IoT S2aaS for smart supply chains that is based on blockchain technology. Without the need for intermediaries, this framework may ensure that data consumers can safely communicate data with data owners of IoT solutions while retaining full ownership of their data. Researchers lay out the framework’s layered architecture and system model, from which derive a specific plan for implementing IoT S2aaS through the usage of smart contracts. We put an Ethereum-based software prototype into action. The outcomes of the experiments prove that our solution is both valid and effective.

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Middle East and North African Health Informatics Association (MENAHIA): Health Informatics Response to COVID-19 Crisis

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Yearbook of Medical Informatics 2021年第1期30卷 328-334页

作者： Tara, Mahmood Taweel, Adel Alhuwail, Dari Al Thani, Dena A. Al-Jafar, Eiman Hamra, Eman Abu Ghazal, Hassan Wahba, Hoda Bahaadinbeigy, Kambiz AlKhalifa, Khalid Joseph, Leena Zeroug, Mohamed Odeh, Mohammad Bani Alhefzi, Mohammed I. Hamdi, Mounir Househ, Mowafa Al-Shorbaji, Najeeb Hassan, Osama El Al-Salmi, Salim Abdullah Amara, Tamer Sari, Zoubir International Academy of Health Sciences Informatics Member of the Iranian Medical Informatics Association Department of Medical Informatics Mashhad University of Medical Sciences Mashhad Iran Department of Computer Science Birzeit University Birzeit Palestine Department of Information Science College of Life Sciences Kuwait University Kuwait Health Informatics Association Kuwait Information and Computing Technology Division College of Science and Engineering Hamad Bin Khalifa University Doha Qatar Department of Health Informatics and Information Management Faculty of Allied Health Sciences Kuwait University Kuwait Health Informatics Association Kuwait Master of Public Health - Al Quds University Palestine Moroccan Society for Telemedicine and eHealth Morocco & National Center for Scientific and Technical Research Rabat Morocco Ain Shams University Virtual Hospital Cairo Egypt The Iranian Medical Informatics Association Health Information Technology Department Kerman University of Medical Sciences Kerman Iran National Health Informatics Committee Supreme Council of Health Manama Bahrain Oman College of Health Sciences Ministry of Health Muscat Oman Société Algérienne de Télémédecine et de eSanté SATeS Algeria Palestine National Institute of Public Health Ramallah Palestine Saudi Association for Health Informatics Saudi Arabia College of Science and Engineering Hamad Bin Khalifa University Doha Qatar International Academy of Health Sciences Informatics Hamad Bin Khalifa University Doha Qatar International Academy of Health Sciences Informatics President of the eHealth Development Association Amman Jordan Health Informatics & Smart Health Department Dubai Health Authority Dubai United Arab Emirates Ain Sham University Virtual Hospital Cairo Egypt

The unforeseen pandemic of COVID-19 forced all countries worldwide to appreciate digital solutions and their potential contributions in managing such outbreaks. Countries began to share their knowledge and ongoing experiences on how to employ the latest technologies to trace infected cases, warn people on potential danger, increase social and population awareness, and how to provide effective and efficient telehealth services. MENAHIA (The Middle East and North Africa Health Informatics Association), established in 2018, as a new IMIA regional chapter which has started regional work in several areas of collaboration and knowledge sharing, particularly focused on the common basis of MENA countries’ needs towards health informatics solutions regarding COVID-19 crisis management. This article briefly presents health informatics activities and prospects by countries of the Region with a non-exclusive focus on the COVID-19 pandemic. Needless to say, not all the countries have reported using this platform, and some may have reported through other venues. © 2021 Thieme Medical Publishers, Inc.. All rights reserved.

关键词： Algeria Bahrain COVID-19 digital health Egypt health informatics IMIA International Medical Informatics Association Iran Jordan Kuwait MENAHIA Middle East and North Africa Morocco National eHealth societies Oman Palestine Qatar Saudi Arabia United Arab Emirates

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A Surveillance System Focused On Approved Blockchains and Computation of Edges

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Journal of Physics: Conference Series 2021年第4期1964卷

作者： A. Victor Benevent Raj B. Srikanth A. Thilagavathy B. Mathivanan Department of Master of Computer Applications Ananda College Devakottai Tamil Nadu India Department of Computer Science and Engineering SRK Institute of Technology Enikepadu Krishna District Andhra Pradesh India Department of Computer Science and Engineering R.M.K Engineering College Kavaraipettai Tamil Nadu India Department of Computer Science and Engineering Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India

Video surveillance systems have become a critical tool for urban management in recent decades. Without visiting the scene, managers may grasp the scene information. The monitoring system can improve management and supervision effects and reduce the likelihood of major accidents. With both the invention of the Internet of Things (IoT) era, however, sensor networks face difficulties, like massive access to equipment, massive data, inadequate bandwidth, attack vulnerability and real-time surveillance problems. We provide an overview of the implementations situation of the visual supervision system accordance with the project blockchain and border computers. The framework uses BCs, edge processors, developments from the IPFS and transformed neural networks. Edge computing is used for huge wireless communication collection and analysis. The IPFS storage service can be used and CNN infrastructure is used in legitimate surveillance to do a large video collection.

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Sport science Model to Support the Professional Sports Organization Decision Making

Sport Science Model to Support the Professional Sports Organ...

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International Conference on Information Management and technology (ICIMTech)

作者： Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda Arsyan Syahir School of Information Systems Bina Nusantara University Jakarta Indonesia BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781728170718

ISBN: (纸本)9781728170725

The role of information technology in sports organizations is important to analyze all aspects including how to win in the competition based on various internal and external factors. The approach that used to enhance the sports organizations is sports science, which is a concept that contributes to the development of athletes by collaborating in many fields and studies, such as anatomy, physiology, psychology, engineering, chemistry, etc. The approach of Sport science articulates the technology that blended on all of the approached. Currently, the use of sports technology or science in Indonesia is also very low in all sports categories. Usually, the management and coaches look at player statistics based on manual data or reports to view player statistics periodically. There is still a lack of exploration to use player statistics to be used by coaches to improve the ability of the players and the organization. This research will propose how to develop sports science with a business intelligence approach that used the Kimball data mart approach as decision support in the field of sports so that management and coaches can apply the correct approach to improve the capacity of players and organizational development. The result of this study will provide the model of sports science that can be implemented for a professional sports organization in Indonesia.

关键词： Business intelligence Decision making Tools Companies

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Transformative Sport science Using Social Media as a Collaboration Tool

Transformative Sport Science Using Social Media as a Collabo...

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International Conference on ICT For Smart Society (ICISS)

作者： Tanty Oktavia Ford Lumban Gaol Takaaki Hosoda Arsyan Syahir School of Information Systems Bina Nusantara University Jakarta Indonesia Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Advanced Institute of Industrial Technology Tokyo Japan BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9781665404228

ISBN: (纸本)9781665404235

Sports science can have a significant and positive impact on coaches and athletes, as well as for the professional sports organization. According to this situation, more and more organizations are competing to implement sports science as the monitoring systems. Along with the development of technology, it becomes easier for humans to carry out their activities, including communication with each other. Advances in the field of communication technologies have led to the use of social networks to support all activity. With social media, all kinds of information that people want to search for can be found easily. Social networks have their uniqueness in their characteristics. Like LINE has free calling and video calling features, while Instagram has features like Instagram Story, where users can document their activities in the form of photos or recordings. By all the characteristics of social networks, it will support the activity of sports science. The methodology of this research focused on quantitative research based on the T-test approach. The result shows that social media involvement can significantly support collaboration in sports science, so it can increase people's motivation to interact with other participants in sport organizations.

关键词： Sports Social networking (online) Media Reliability Organizations Tools Information systems

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Mitigating errors in mobile-based dietary assessments: Effects of a data modification process on the validity of an image-assisted food and nutrition app

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Nutrition 2023年 116卷 112212-112212页

作者： Ho, Dang Khanh Ngan Chiu, Wan-Chun Kao, Jing-Wen Tseng, Hsiang-Tung Yao, Chih-Yuan Su, Hsiu-Yueh Wei, Pin-Hui Le, Nguyen Quoc Khanh Nguyen, Hung Trong Chang, Jung-Su School of Nutrition and Health Sciences College of Nutrition Taipei Medical University Taipei Taiwan Department of Nutrition Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Dietetics Taipei Medical University Hospital Taipei Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan Research Center for Artificial Intelligence in Medicine Taipei Medical University Taipei Taiwan Translational Imaging Research Center Taipei Medical University Hospital Taipei Taiwan Department of Adult Nutrition Counselling National Institute of Nutrition Hanoi Viet Nam Department of Clinical Nutrition and Dietetics National Hospital of Endocrinology Hanoi Viet Nam Graduate Institute of Metabolism and Obesity Sciences College of Nutrition Taipei Medical University Taipei Taiwan Nutrition Research Center Taipei Medical University Hospital Taipei Taiwan Chinese Taipei Society for the Study of Obesity (CTSSO) Taipei Taiwan TMU Research Center for Digestive Medicine Taipei Medical University Taipei Taiwan

Objective: Mobile nutrition applications (apps) provide a simple way for individuals to record their diet, but the validity and inherent errors need to be carefully evaluated. The aim of this study was to assess the validity and clarify the sources of measurement errors of image-assisted mobile nutrition apps. Methods: This was a cross-sectional study with 98 students recruited from School of Nutrition and Health sciences, Taipei Medical University. A 3-d nutrient intake record by Formosa Food and Nutrient Recording App (FoodApp) was compared with a 24-h dietary recall (24-HDR). A two-stage data modification process, manual data cleaning, and reanalyzing of prepackaged foods were employed to address inherent errors. Nutrient intake levels obtained by the two methods were compared with the recommended daily intake (DRI), Taiwan. Paired t test, Spearman's correlation coefficients, and Bland–Altman plots were used to assess agreement between the FoodApp and 24-HDR. Results: Manual data cleaning identified 166 food coding errors (12%;stage 1), and 426 food codes with missing micronutrients (32%) were reanalyzed (stage 2). Positive linear trends were observed for total energy and micronutrient intake (all P_trend < 0.05) after the two stages of data modification, but not for dietary fat, carbohydrates, or vitamin D. There were no statistical differences in mean energy and macronutrient intake between the FoodApp and 24-HDR, and this agreement was confirmed by Bland–Altman plots. Spearman's correlation analyses showed strong to moderate correlations (r = 0.834 ∼ 0.386) between the two methods. Participants’ nutrient intake tended to be lower than the DRI, but no differences in proportions of adequacy/inadequacy for DRI values were observed between the two methods. Conclusions: Mitigating errors significantly improved the accuracy of the Formosa FoodApp, indicating its validity and reliability as a self-reporting mobile-based dietary assessment tool. Dietitians a

关键词： Food records Mobile application Mobile health Smartphone application

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New Method of POS based on Artificial Intelligence and Cloud Computing

New Method of POS based on Artificial Intelligence and Cloud...

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International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)

作者： Arnab Dey Sudhanshu Jain Shovan Nandi Dept. of Computer Science and Engineering Bengal Institute of Technology Kolkata India Dept.of Master of Computer Applications Chitkara Institute of Engineering and Technology Punjab India Dept. of Electronics and Communication Engineering Bengal Institute of Technology Kolkata India

Point of Sale systems have been rapidly getting advanced and powerful. In recent times, we can see credit and debit card based POS systems apart from traditional cash POS with manual entry. POS systems with Barcode readers are also developed. What we must recognize is that still many fraud and security issues are present. POS system that we have proposed, is based on new age technology that is `AI subset based POS' which is a new method. We can find POS system with face recognition and Card swipe system at few places. Considering that the security problems still exists with the current system. We have proposed face recognition along with password as a method of payment making POS systems both card less and cashless. Cloud Computing technology is suggested way of implementation to make solution overall energy efficient as well.

关键词： artificial intelligence authorisation cloud computing face recognition financial data processing fraud point of sale systems

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Comparative Study Of Efficient Data Hiding Techniques

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IOP Conference Series: Materials science and Engineering 2021年第1期1022卷

作者： Lalan kumar Deepanjali Mishra Ayush Kumar Amit Kumar Ashish Bajpai Asst. Professor Dept. of Master of Computer Application G.L. Bajaj Institute of Technology and Management Gr.Noida UP India Scholar Dept. of Master of Computer Application G.L. Bajaj Institute of Technology and Management Gr.Noida UP India Asst.Professor Dept. of Master of Computer Application KIET Group of Institutions Ghaziabad UP India Asst.Professor Dept. of Computer Science KIET Group of Institutions Ghaziabad UP India

Data security is one of the fundamental concerns when it comes to modern networking and information sharing as any breach or data loss can end up causing major losses in terms of credibility, personal data and/or law suites. This paper studies data encryption and decryption techniques using algorithms like DES algorithm, 3 DES algorithm, AES algorithm and RSA algorithm. Cryptography was introduced for data security while transmitting data. However, only cryptography cannot give a robust security approach; as a result, a disorganized message can still be snooped [9]. This leads to a desire for information security. There are several techniques available, among those have taken a few of them and will review them considering cryptography measures. We will analyse the algorithm mentioned above, and try to find out better among them.

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Consumer product preference prediction towards online shopping

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IOP Conference Series: Materials science and Engineering 2021年第1期1055卷

作者： S Deepa R Suguna P Sathishkumar C Jamunadevi E N Vidhya Assistant Professor Department of Computer Technology - PG Kongu Engineering College Perundurai Erode India Assistant Professor Department of Computer Science and Engineering Bannariamman Institute of Technology Sathyamangalam India Currently pursuing Master's degree programme in Software Systems Kongu Engineering College Perundurai India

Nowadays E-commerce plays a major role in a business organization. People prefer online shopping rather than offline shopping which helps them to purchase their product from anywhere around the world through mobile phones and laptop. Online shopping websites help people by saving time and product order can be done easily by clicking the product. Online shopping websites are built using the Single Page Application (SPA) framework and the objective of this research is to find the customer preference product prediction by tracking the frequent clicks of the product by the customer. By tracking the clicks of customer we can find their product choice and helps retailer to add the products according to user preference.

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International Conference on Computing, Power and Communication Technologies (GUCON)

作者： Sudipta Chakrabarty Sayantan Chatterjee Md Ruhul Islam Hiren Kumar Deva Sarma Department of Master of Computer Application Techno India Salt Lake Kolkata West Bengal India Department of Computer Science & Engineering Sikkim Manipal Institute of Technology Majhitar Rangpo East Sikkim India Department of Information Technology Sikkim Manipal Institute of Technology Majhitar Rangpo East Sikkim India

This paper proposes one mechanism that finds the similarity pattern between two or more than two songs by finding the top sixteen fundamental frequencies of the two songs and then calculates the Coefficient of Concurrent Deviation. If Coefficient of Concurrent Deviation is near to 1, then it can be concluded as the two music structures are similar pattern at a certain level. To achieve the work, some songs of Indian Classical Music and Indian Folk Music and finding the pattern similarity among them. The basic target of this work is to find the music pattern similarity in the field of Music Information Retrieval. The work establishes that the music similarity mapping pattern through fundamental frequencies is depends on the music style. In this paper there are two types of music styles - Indian Classical Music and Indian Folk Music have been applied and recognized that the music of the same style have the probability of greater pattern similarity in Computational Musicology.

关键词： Frequency measurement Indexes Rhythm User interfaces Computational modeling Object oriented modeling

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