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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Mukund Bhole Wolfgang Kastner Thilo Sauter TU Wien Institute of Computer Engineering Vienna Austria Dep. of Integrated Sensor Systems TU Wien Institute of Computer Technology Danube University Krems Austria

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

In the rapidly expanding landscape of Internet of Things (IoT), sensors have emerged as pivotal components, playing a critical role in sensing and data collection. However, this crucial function also renders them susceptible to potential threats such as unauthorized access and security breaches. This paper investigates the vulnerabilities that lead to these threats and offers a comprehensive set of best practices aimed at fortifying the security of IoT devices. We highlight key measures such as secure device design, robust authentication mechanisms, encrypted communication protocols, regular updates, and emphasize the importance of collaborative efforts among stakeholders using an ontological approach. An Ontology provides a structured framework for organizing knowledge, facilitating clearer communication, efficient data management, and enhanced decision-making. Thus, this paper contributes to the development of a more secure and resilient IoT ecosystem.

关键词： Protocols Ecosystems Collaboration Authentication Ontologies Sensors Internet of Things Stakeholders Cryptography Best practices

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From Manual to Semi-Automated Safety and Security Requirements Engineering: Ensuring Compliance in Industry 4.0

From Manual to Semi-Automated Safety and Security Requiremen...

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Annual Conference of Industrial Electronics Society

作者： Mukund Bhole Wolfgang Kastner Thilo Sauter Institute of Computer Engineering TU Wien Vienna Austria Dep. of Integrated Sensor Systems Institute of Computer Technology TU Wien Danube University Krems Austria

ISBN: (数字)9781665464543

ISBN: (纸本)9781665464550

In response to the growing need for compliance with diverse safety and security regulations, crucial for safeguarding both humans and machines in the era of Industry 4.0 (I4.0), it has also become increasingly crucial for industries to ensure adherence to safety and security standards. However, navigating the complexities of regulations and standards can be daunting, often leading to inefficiencies in compliance processes. Our goal is to foster a comprehensive understanding of an effective approach to meeting compliance requirements in these related fields. Therefore, this paper introduces a semi-automated method for ensuring compliance with unified safety and security standards within the context of I4.0. This approach empowers management teams to thoroughly analyze the specific requirements necessary to maintain a protected environment. Compliance can be achieved at both the asset component and system levels, aligning with the relevant standards. Additionally, we present a detailed analysis of a use case and its output, demonstrating the practical application and efficacy of our approach.

关键词： Industries Accuracy Standards organizations Manuals Regulation Safety Fourth Industrial Revolution Complexity theory Security Certification

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Precision Diagnosis in Pandemics: Machine Learning and Cough Sound Analysis for COVID-19

Precision Diagnosis in Pandemics: Machine Learning and Cough...

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International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

作者： Iyad Chehili Skander Hamdi Dep. of Artificial Intelligence and Data Science University of Science and Technology Houari Boumediene Algiers Algeria Dep. of Computer Science University of Ferhat Abbes Setif I Setif Algeria

ISBN: (数字)9798350367928

ISBN: (纸本)9798350367935

The unprecedented global crisis caused by the COVID-19 pandemic has significantly impacted public health, economies, and daily routines. A critical challenge in managing the pandemic is promptly and precisely identifying COVID-19 cases. As a result, there is an urgent need for alternative, non-invasive, and swift diagnostic techniques to identify infected individuals and mitigate the spread of the virus. In this study, we introduce a machine-learning method for early COVID-19 diagnosis by analyzing cough sounds. The study utilizes Mel-frequency cepstral coefficients, extracted from cough audio. Extensive experiments using the COUGHVID cough dataset demonstrate the feasibility and effectiveness of the approach which uses the Extra-Tree classifier. The classification model outperforms other models with a testing accuracy of 90.05%, sensitivity of 86.01%, and an area under the curve of 90.08%, outperforming other similar works, in terms of performance and computation.

关键词： COVID-19 Training Accuracy Sensitivity Pandemics computer viruses Computational modeling Random forests Standards Testing

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Intelligent Recognition of Immune Cells: Analysis and Research 19

Intelligent Recognition of Immune Cells: Analysis and Resear...

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19th IEEE International Conference on e-Business Engineering, ICEBE 2023

作者： Li, Chih-En Liu, Wei-Lun Lai, Kun-Yi Chiang, Yu-Hsiang Yan, Xiaowei Chen, Hao-Xiang Li, Hsu-Ching Cheng, Wan-Shu National Kaohsiung University of Science and Technology Department of Electrical Engineering Kaohsiung Taiwan Institute for Systems Biology Seattle Washington United States Providence University Dep. of Computer Science and Information Management Taichung Taiwan

ISBN: (纸本)9798350325553

Immunotherapy utilizes the potential of the patient's immune system to fight disease. T-lymphocytes have become the central focus of the immune system in the fight against cancer. One of the fundamental studies in immunotherapy is how to accurately identify various types of immune cells. Therefore, the study of immune-related cells will be an important reference for the treatment of COVID19 or other related diseases. In this paper, a series of experiments were conducted with COVID-19 patients as the starting point to design a strategy to identify the important subtypes of CD$4^{+}$T cells. In this paper, an intelligent machine learning algorithm is proposed according to the results of different experiments of linear and nonlinear dimension reduction algorithms, integrating the important characteristics of these two algorithms and improving the performance. Our experimental results show that the algorithm designed based on the front-end experiments can effectively distinguish the important lymphocytes. The proposed algorithm not only improves the performance, but also the dimension reduction procedure keeps the important features of both global and regional data. The experimental results of this paper will be beneficial for the subsequent analysis of the clustering in identifying important subtypes of CD$4^{+}$T cells. Most importantly, this wm significantly improve the procedure of manually integrating and labeling the recorded data after several tedious and monotonous analyses with external software. © 2023 IEEE.

关键词： COVID-19

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IT Security Solutions for IT/OT Integration: Identifying Gaps and Opportunities

IT Security Solutions for IT/OT Integration: Identifying Gap...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

ISBN: (数字)9798350361230

ISBN: (纸本)9798350361247

In the contemporary landscape of convergence between Information technology (IT) and Operational technology (OT), maintaining asset visibility within the Industrial Control Systems (ICS) infrastructure is paramount. Yet, the escalating targeting of legacy systems and air-gapped networks by cyber threats underscores the need for robust security measures and solutions to counter unauthorized access and malicious activities. This paper presents an analysis aimed at identifying gaps and opportunities in integrating IT Security Solutions with OT environments. These solutions offer comprehensive features such as real-time threat detection, asset identification, network monitoring, and incident response capabilities tailored specifically for the unique challenges posed by industrial control networks. Leveraging the Festo MPS 403–1 system as a case study, we delve into the intricacies of IT/ OT integration and highlight areas necessitating improvement to achieve seamless convergence and harness the advantages of unified systems across industries.

关键词： Industries Industrial control Security management Logic gates Software Threat assessment Security Monitoring Industrial Internet of Things Convergence

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Alert system with IoT Techniques for Stray Children 2

Alert system with IoT Techniques for Stray Children

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2nd International Conference on Cybernetics and Innovations, ICCI 2023

作者： Pramkeaw, Patiyuth Ganokratanaa, Thittaporn Pinthong, Thidarat Kitprasert, Napathsorn King Mongkut's University of Technology Thonburi Media Technology Program Bangkok Thailand King Mongkut's University of Technology Thonburi Applied Computer Science Program Bangkok Thailand Phetchaburi Rajabhat University Dep. of Business Information Management Phetchaburi Thailand

ISBN: (纸本)9798350336573

The purpose of this research was to design, produce and evaluate a stray child warning system. The device has been designed by using 2 ESP8266 boards to receive signals as specified. The system will notify the information via Line Notify to let users know how far the board that acts as a Client is from the board that acts as an Access Point. Expressed in meters (m) in the notification line notify process. The test results of the system in terms of signal transmission between the Access Point and the Client can work well. Buzzer speaker and LED notification light according to the specified distance every time. Notifications to LINE Notify to mobile phones can be done every time. © 2023 IEEE.

关键词： Internet of things

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Energy Efficiency and Management in South Africa: A Case of Resource Availability

SSRN

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SSRN 2023年

作者： Mkhutazi, Mditshwa Almaktoof, Ali Mfoumboulou, Yohan Darcy Kahn, Mohamed Tariq Dep. of Electrical Electronic and Computer Engineering Cape Peninsula University of Technology South Africa

This survey examines the current state of energy efficiency and management in South Africa, focusing on the country’s key challenges and opportunities. The study highlights the importance of energy efficiency in reducing energy consumption and mitigating the impacts of energy use on the environment. It provides an overview of the current energy efficiency policies and initiatives in South Africa. The survey also considers the barriers to implementing energy efficiency policies in South Africa, including a lack of awareness, resistance to change, and political challenges. The study concludes by identifying critical areas for future research and action in the field of energy efficiency and management in South Africa. © 2023, The Authors. All rights reserved.

关键词： Energy efficiency

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Enhancements to the 5G-NR 2-Step RACH: an Unsourced Multiple Access Perspective

Enhancements to the 5G-NR 2-Step RACH: an Unsourced Multiple...

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2024 IEEE Conference on Standards for Communications and Networking, CSCN 2024

作者： Agostini, Patrick Chamberland, Jean-Francois Clazzer, Federico Dommel, Johannes Liva, Gianluigi Munari, Andrea Narayanan, Krishna Polyanskiy, Yury Stanczak, Slawomir Utkovski, Zoran Fraunhofer Heinrich-Hertz-Institut Berlin Germany Texas A&M University College Station Dep. of Electrical and Computer Engineering TX United States Wessling Germany Massachusetts Institute of Technology Laboratory for Information and Decision Systems CambridgeMA United States

ISBN: (纸本)9798331507428

The ever increasing demand for massive connectivity, combined with the specific characteristics of machinegenerated wireless traffic, is pushing the existing solutions for device registration and data transfer beyond their operational limits. In this paper, we target specifically the 3GPP 5G New Radio random access channel, proposing some enhancements inspired by recent research results in the field of unsourced multiple access (UMAC). Aiming to enable massive grant-free connectivity for large machine-type and Internet of things terminals, we focus on modifications of the two-step random access procedures originally introduced in 3GPP Release 16. By means of simulations, we show that remarkable gains in both energy and spectral efficiency can be attained while retaining a strong resemblance to the legacy protocol. © 2024 IEEE.

关键词： 5G mobile communication systems

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Introduction to the HICSS-58 Software technology and Software Development Minitrack

Proceedings of the Annual Hawaii International Conference on...

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Proceedings of the Annual Hawaii International Conference on System Sciences 2025年 7379-7380页

作者： Majchrzak, Tim A. Grønli, Tor-Morten Kaindl, Hermann University of Agder Kristiansand Norway Kristiania University College Dep. Technology Oslo Norway TU Wien Inst. of Computer Tech. Vienna Austria

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Longitudinal Evolution of Coachees’ Behavioural Responses to Interaction Ruptures in Robotic Positive Psychology Coaching

Longitudinal Evolution of Coachees’ Behavioural Responses t...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Micol Spitale Minja Axelsson Neval Kara Hatice Gunes University of Cambridge Cankaya University Dep. of Computer Science & Technology AFAR Lab University of Cambridge

Robotic mental well-being coaches could be used to help people maintain their well-being, and improve access to mental healthcare. In coaching, the alliance between the coach and coachee is important for the success of the practice. However, this alliance might be negatively affected by interaction ruptures (e.g., the robot making mistakes and the user feeling awkward) that still commonly occur in human-robot interactions. Therefore, robotic coaches should be able to recognize ruptures occurring during their interactions with human users to guarantee the success of the well-being practice. To this aim, we analyse coachee behavioural responses to interaction ruptures during a robotic positive psychology coaching practice and how these behavioural cues evolve over time. We focus our analysis on a dataset we collected in a previous work, where 26 participants interacted with either a QTrobot or a Misty II robot at their workplace over 4 weeks. We undertake a longitudinal analysis of coachees’ multimodal nonverbal cues (i.e., facial expressions, vocal acoustic features, and body pose features) to investigate the contribution of individual modalities for detecting interaction ruptures. Our results show that coachees: i) displayed facial cues of rupture (e.g, laughing at the robot) and suspicion more in the first week than in the last week; ii) talked more and were less silent in the last week than in the previous weeks; and iii) exhibited a higher number of hand-over-face gestures (a cue for self-disclosure) in the last week than in the previous weeks. Our findings aim to inform the development of AI models for multi-modal detection of interaction ruptures which can be used to improve the effectiveness and the success of robotic well-being coaching.

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