The primary objective of this research is to develop a sophisticated system capable of accurately predicting the 3-D trajectory of a ball in sports and conducting an in-depth analysis of the obtained trajectory. The proposed system comprises three key components: a binocular vision system, an unscented Kalman filter trajectory and velocity prediction system, and an algorithmic data analysis system. The binocular vision system uses two fixed cameras to record the ball’s movement. This system is a valuable resource for professional table tennis athletes and coaches, providing precise data for comprehensive sports analysis. In contrast to other studies, this research introduces a cost-effective and highly convenient 3-D trajectory analysis system for table tennis. The system achieves sufficient accuracy using only two low-resolution, low-frame-rate devices and a simple calibration process. Compared to traditional binocular image triangulation, the proposed system improves accuracy by 25%, with an error margin reduced to only 86 mm.
{"title":"Trajectory Analysis in UKF: Predicting Table Tennis Ball Flight Parameters","authors":"Hung-Tse Chiang, Bor-Yao Tseng, Jiann-Liang Chen, Han-Chuan Hsieh","doi":"10.1109/mitp.2024.3380837","DOIUrl":"https://doi.org/10.1109/mitp.2024.3380837","url":null,"abstract":"The primary objective of this research is to develop a sophisticated system capable of accurately predicting the 3-D trajectory of a ball in sports and conducting an in-depth analysis of the obtained trajectory. The proposed system comprises three key components: a binocular vision system, an unscented Kalman filter trajectory and velocity prediction system, and an algorithmic data analysis system. The binocular vision system uses two fixed cameras to record the ball’s movement. This system is a valuable resource for professional table tennis athletes and coaches, providing precise data for comprehensive sports analysis. In contrast to other studies, this research introduces a cost-effective and highly convenient 3-D trajectory analysis system for table tennis. The system achieves sufficient accuracy using only two low-resolution, low-frame-rate devices and a simple calibration process. Compared to traditional binocular image triangulation, the proposed system improves accuracy by 25%, with an error margin reduced to only 86 mm.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"134 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2024.3404228
Dimitrios G. Kogias, Charalampos Z. Patrikakis
Blockchain technology emerged in 2008 with the introduction of its first application: a digital distributed payment system known as the Bitcoin network.1 At that time, blockchain was a groundbreaking innovation that ingeniously combined existing technologies and features such as encryption, distributed computing, and digital signatures. Initially aimed at transforming the financial sector, the technology faced skepticism, partly due to the mystery surrounding Bitcoin’s creator.
{"title":"Beyond Bitcoin: Exploring the Expanding Horizons of Blockchain Innovation","authors":"Dimitrios G. Kogias, Charalampos Z. Patrikakis","doi":"10.1109/mitp.2024.3404228","DOIUrl":"https://doi.org/10.1109/mitp.2024.3404228","url":null,"abstract":"Blockchain technology emerged in 2008 with the introduction of its first application: a digital distributed payment system known as the Bitcoin network.1 At that time, blockchain was a groundbreaking innovation that ingeniously combined existing technologies and features such as encryption, distributed computing, and digital signatures. Initially aimed at transforming the financial sector, the technology faced skepticism, partly due to the mystery surrounding Bitcoin’s creator.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"16 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2024.3380916
Julián A. García-García, Nicolás Sánchez-Gómez, María José Escalona, Mercedes Ruiz
Today, organizations require innovative and flexible solutions to digitize and automate their processes—particularly those processes designed to obtain information from users. Chatbots are one of the most widely used technological options for automating processes. This article aims to integrate chatbot technology with health information systems (HISs) to improve the execution of health-care processes. Specifically, it presents the COTriage framework, which proposes model-driven mechanisms for improving the design and development of process-oriented HISs with chatbot-based triage process integration. The proposal was also instantiated with the COVID-19 triage process and assisted reproduction treatment processes on iMedea (a real HIS). Finally, the proposal was discussed considering the acceptance of end users, as well as the degree of efficiency and effectiveness achieved by the software team who applies COTriage on our case study.
{"title":"COTriage: Applying a Model-Driven Proposal for Improving the Development of Health Information Systems with Chatbots","authors":"Julián A. García-García, Nicolás Sánchez-Gómez, María José Escalona, Mercedes Ruiz","doi":"10.1109/mitp.2024.3380916","DOIUrl":"https://doi.org/10.1109/mitp.2024.3380916","url":null,"abstract":"Today, organizations require innovative and flexible solutions to digitize and automate their processes—particularly those processes designed to obtain information from users. Chatbots are one of the most widely used technological options for automating processes. This article aims to integrate chatbot technology with health information systems (HISs) to improve the execution of health-care processes. Specifically, it presents the COTriage framework, which proposes model-driven mechanisms for improving the design and development of process-oriented HISs with chatbot-based triage process integration. The proposal was also instantiated with the COVID-19 triage process and assisted reproduction treatment processes on iMedea (a real HIS). Finally, the proposal was discussed considering the acceptance of end users, as well as the degree of efficiency and effectiveness achieved by the software team who applies COTriage on our case study.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"30 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2024.3399472
Noah P. Barsky
Are CFOs ready for the AI-era? Decades of distraction suggest many are not. Legacy finance functions, hampered by manual processes, compliance mindsets, myopic thinking and weak cross-functional partnerships, face many challenges in addressing long overdue tech modernization. To drive business growth and honor timeless stewardship obligations, CFOs executives must credibly understand, embrace and leverage AI’s transformational strategic, operational and performance potential - before it’s too late.
{"title":"Can AI Fix Distracted CFO Syndrome? It’s Still an Open Question","authors":"Noah P. Barsky","doi":"10.1109/mitp.2024.3399472","DOIUrl":"https://doi.org/10.1109/mitp.2024.3399472","url":null,"abstract":"Are CFOs ready for the AI-era? Decades of distraction suggest many are not. Legacy finance functions, hampered by manual processes, compliance mindsets, myopic thinking and weak cross-functional partnerships, face many challenges in addressing long overdue tech modernization. To drive business growth and honor timeless stewardship obligations, CFOs executives must credibly understand, embrace and leverage AI’s transformational strategic, operational and performance potential - before it’s too late.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"08 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2023.3323820
Francesco Alotto, Matteo Del Giudice, Roberta Surian, Nicola Rimella, Andrea Acquaviva, Edoardo Patti, Anna Osello
In this work, we present a novel distributed software platform for patients with neurodegenerative diseases that affect motor neurons. The linking point between this wide range of diseases is the strong social impact they have, degrading the freedom of action of the patient; the loss of functionality of motor neurons, caused by progressive degradation, makes the body unable to move. Thus, our solution aims at making patients more autonomous in their daily activities and at improving remote health-care monitoring for medical staff by combining virtual reality, building information modeling (BIM), the Internet of Things (IoT), and eye-tracking technologies. Starting from the 3-D parametric BIM model, patients can virtually explore the surrounding environment (through eye movements) and control the environment by interacting with IoT smart devices, thus performing different tasks.
{"title":"Hospital and Home Environments Automation for Amyotrophic Lateral Sclerosis Patients: Building Information Modeling and the Internet of Things in Digital Environments","authors":"Francesco Alotto, Matteo Del Giudice, Roberta Surian, Nicola Rimella, Andrea Acquaviva, Edoardo Patti, Anna Osello","doi":"10.1109/mitp.2023.3323820","DOIUrl":"https://doi.org/10.1109/mitp.2023.3323820","url":null,"abstract":"In this work, we present a novel distributed software platform for patients with neurodegenerative diseases that affect motor neurons. The linking point between this wide range of diseases is the strong social impact they have, degrading the freedom of action of the patient; the loss of functionality of motor neurons, caused by progressive degradation, makes the body unable to move. Thus, our solution aims at making patients more autonomous in their daily activities and at improving remote health-care monitoring for medical staff by combining virtual reality, building information modeling (BIM), the Internet of Things (IoT), and eye-tracking technologies. Starting from the 3-D parametric BIM model, patients can virtually explore the surrounding environment (through eye movements) and control the environment by interacting with IoT smart devices, thus performing different tasks.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"53 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2024.3389502
Eirini Eleni Tsiropoulou, Aisha B. Rahman, Md Sadman Siraj
This article introduces the concept of wireless controls for heliostat-based concentrating solar-thermal power (CSP) systems, highlighting the cost advantages over traditional wired connections. Initially, the article reviews the current state of the art for wireless control development in CSP systems, emphasizing their early stage in terms of adopting wireless communication technology. The article introduces the novel HELIOCOMM system, which leverages the advanced wireless networking technology of integrated access and backhaul to support wireless closed-loop controls in the CSP field, while additionally employing artificial intelligence or artificial intelligence-based clustering, entropy-based routing, and resource allocation. These elements enhance the energy efficiency of the photovoltaic and battery operating heliostats, reduce the latency to guarantee the closed-loop control of the heliostats in a real-time manner, and optimize bandwidth allocation in wireless links. This article provides a comprehensive overview of the HELIOCOMM system’s architecture and its components, highlighting its potential to transform CSP systems.
{"title":"HELIOCOMM: A Wireless Revolution in Concentrated Solar Power Systems","authors":"Eirini Eleni Tsiropoulou, Aisha B. Rahman, Md Sadman Siraj","doi":"10.1109/mitp.2024.3389502","DOIUrl":"https://doi.org/10.1109/mitp.2024.3389502","url":null,"abstract":"This article introduces the concept of wireless controls for heliostat-based concentrating solar-thermal power (CSP) systems, highlighting the cost advantages over traditional wired connections. Initially, the article reviews the current state of the art for wireless control development in CSP systems, emphasizing their early stage in terms of adopting wireless communication technology. The article introduces the novel HELIOCOMM system, which leverages the advanced wireless networking technology of integrated access and backhaul to support wireless closed-loop controls in the CSP field, while additionally employing artificial intelligence or artificial intelligence-based clustering, entropy-based routing, and resource allocation. These elements enhance the energy efficiency of the photovoltaic and battery operating heliostats, reduce the latency to guarantee the closed-loop control of the heliostats in a real-time manner, and optimize bandwidth allocation in wireless links. This article provides a comprehensive overview of the HELIOCOMM system’s architecture and its components, highlighting its potential to transform CSP systems.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"238 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141521956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2024.3378582
Ellis Solaiman, Christa Awad
This article critically reviews the integration of AI and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize health-care delivery. By examining current research, we underscore AI’s potential in advancing diagnostics and patient care, alongside blockchain’s capacity to bolster data security and patient privacy. We focus particularly on the imperative to cultivate trust and ensure reliability within these systems. Our review highlights innovative solutions for managing health-care data and challenges, such as ensuring scalability, maintaining privacy, and promoting ethical practices, within the MedIoT domain. We present a vision for integrating AI-driven insights with blockchain security in health care, offering a comprehensive review of current research and future directions. We conclude with a set of identified research gaps and propose that addressing these is crucial for achieving the dependable, secure, and patient-centric MedIoT applications of tomorrow.
{"title":"Trust and Dependability in Blockch-AI-n-Based Medical Internet of Things Applications: Research Challenges and Future Directions","authors":"Ellis Solaiman, Christa Awad","doi":"10.1109/mitp.2024.3378582","DOIUrl":"https://doi.org/10.1109/mitp.2024.3378582","url":null,"abstract":"This article critically reviews the integration of AI and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize health-care delivery. By examining current research, we underscore AI’s potential in advancing diagnostics and patient care, alongside blockchain’s capacity to bolster data security and patient privacy. We focus particularly on the imperative to cultivate trust and ensure reliability within these systems. Our review highlights innovative solutions for managing health-care data and challenges, such as ensuring scalability, maintaining privacy, and promoting ethical practices, within the MedIoT domain. We present a vision for integrating AI-driven insights with blockchain security in health care, offering a comprehensive review of current research and future directions. We conclude with a set of identified research gaps and propose that addressing these is crucial for achieving the dependable, secure, and patient-centric MedIoT applications of tomorrow.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"38 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141531627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-26DOI: 10.1109/mitp.2023.3339448
Sana Nasim Karam, Kashif Bilal, Junaid Shuja, Latif U. Khan, Muhammad Bilal, Muhammad Khurram Khan
With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in industrial application scenarios, oil and gas industry (OGI) automation is undergoing a remarkable transformation. Existing monitoring methods like IoT sensor-based surveillance offer accuracy but struggle with transmission inefficiency. Conversely, UAV-based surveillance enables seamless communication but limited sensing capabilities. This article addresses the challenges of latency, energy efficiency, and cost in state-of-the-art leakage detection technologies for OGI pipelines. A three-tier architecture is proposed, integrating IoT, UAVs, and artificial intelligence-empowered edge computing to enhance pipeline surveillance. We aim to propose specialized routing that addresses IoT energy and fault tolerance issues, while UAVs act as relays to transmit data efficiently to control centers, considering factors like UAV energy and data complexity. Intelligent edge services optimize data transmission, prolong UAV lifespan, and manage latency. Various use cases are explored, and open research challenges with potential solutions are presented.
{"title":"Intelligent IoT- and UAV-Assisted Architecture for Pipeline Monitoring in OGI","authors":"Sana Nasim Karam, Kashif Bilal, Junaid Shuja, Latif U. Khan, Muhammad Bilal, Muhammad Khurram Khan","doi":"10.1109/mitp.2023.3339448","DOIUrl":"https://doi.org/10.1109/mitp.2023.3339448","url":null,"abstract":"With the advent of the Internet of Things (IoT) and unmanned aerial vehicles (UAVs) in industrial application scenarios, oil and gas industry (OGI) automation is undergoing a remarkable transformation. Existing monitoring methods like IoT sensor-based surveillance offer accuracy but struggle with transmission inefficiency. Conversely, UAV-based surveillance enables seamless communication but limited sensing capabilities. This article addresses the challenges of latency, energy efficiency, and cost in state-of-the-art leakage detection technologies for OGI pipelines. A three-tier architecture is proposed, integrating IoT, UAVs, and artificial intelligence-empowered edge computing to enhance pipeline surveillance. We aim to propose specialized routing that addresses IoT energy and fault tolerance issues, while UAVs act as relays to transmit data efficiently to control centers, considering factors like UAV energy and data complexity. Intelligent edge services optimize data transmission, prolong UAV lifespan, and manage latency. Various use cases are explored, and open research challenges with potential solutions are presented.","PeriodicalId":49045,"journal":{"name":"IT Professional","volume":"48 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141531630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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