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2025 IEEE International Conference on Cybernetics and Innovations, ICCI 2025

作者： Pramkeaw, Patiyuth Suksomboon, Pimyada Leangruttananon, Warit Ganokratanaa, Thittaporn Makararpong, Davids Chumuang, Narumol Yimyam, Worawut Angsusingha, Chayawee Farooq, Adil Ketcham, Mahasak Media Technology Program King Mongkut's University of Technology Thonburi Bangkok10140 Thailand King Mongkut's University of Technology Thonburi Faculty of Science Bangkok10140 Thailand Thailand Business School The University of the Thai Chamber of Commerce Bangkok10800 Thailand Muban Chombueng Rajabhat University Digital Media Technology Ratchaburi70150 Thailand Business Information Management Phetchaburi Rajabhat University Phetchaburi76000 Thailand The National Broadcasting and Telecommunications Commission Bangkok Thailand Maynooth University Department of Electronic Engineering Ireland King Mongkut's University of Technology North Bangkok Management of Information Systems Bangkok10800 Thailand

ISBN: (纸本)9798331533267

This research presents the development and evaluation of a breath alcohol measurement device utilizing the MQ-3 alcohol sensor and an Arduino Nano-based control system. The primary objective was to design an accurate and reliable system for detecting breath alcohol concentration, with real-time feedback provided through an OLED display and an active buzzer for alerts. The device operates by measuring the alcohol concentration in the breath and converting the sensor data into parts per million (ppm). When the alcohol concentration exceeds the predefined threshold of 5% ABV, the system activates an audible alarm via the buzzer and displays the corresponding ppm value on the OLED screen. A series of tests were conducted with eight volunteers who consumed varying amounts of alcohol. The results demonstrated the system's high accuracy and responsiveness, with the ability to detect alcohol concentrations ranging from safe levels to dangerous thresholds. The device was tested multiple times to ensure consistency and minimize errors, with the final results confirming its effectiveness in providing reliable alcohol measurements. This system holds significant potential for applications in monitoring alcohol levels in drivers and individuals involved in safety-critical activities. The research underscores the importance of real-time alcohol detection systems in enhancing public safety and ensuring compliance with safety regulations. © 2025 IEEE.

关键词： Highway accidents

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Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

arXiv

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arXiv 2023年

作者： Du, Hongyang Zhang, Ruichen Liu, Yinqiu Wang, Jiacheng Lin, Yijing Li, Zonghang Niyato, Dusit Kang, Jiawen Xiong, Zehui Cui, Shuguang Ai, Bo Zhou, Haibo Kim, Dong In The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The School of Information and Communication Engineering University of Electronic Sciences and Technology of China Chengdu China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Shenzhen China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic Science and Engineering Nanjing University Jiangsu Nanjing210093 China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization. © 2023, CC BY.

关键词： Reinforcement learning

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A Cybersecurity Detection Platform Integrating IOTA DLT and IPFS for Vulnerability Management

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Electronics 2025年第10期14卷 1929-1929页

作者： Iuon-Chang Lin Jyun-Yan Ruan Ching-Chun Chang Chin-Chen Chang Chun-Tse Wang Department of Management Information Systems National Chung Hsing University Taichung 40227 Taiwan Information and Communication Security Research Center Feng Chia University Taichung 40724 Taiwan Department of Information Engineering and Computer Science Feng Chia University Taichung 40724 Taiwan Ph.D. Program for Infrastructure Planning and Engineering Feng Chia University Taichung 40724 Taiwan

In response to the Cybersecurity Law, organizations face numerous management and technical requirements. Detection techniques such as vulnerability scanning and penetration testing are employed to identify risks. Addressing these vulnerabilities demands substantial manpower, time, and financial resources. Security concerns also arise during digital file transmission and remediation efforts. This study proposes a security detection platform with step-by-step implementation guidelines, enabling resource-limited units to replicate the setup and address security gaps. It compares detection results between open-source and commercial tools, highlighting key differences and offering remediation strategies. Numerous digital files (e.g., test reports) are generated during testing. To ensure secure storage and sharing, the system integrates IOTA’s distributed ledger and IPFS, generating HASH values and uploading files on-chain to preserve integrity and authenticity. The objective is to deliver a scalable, cost-effective security detection framework that enhances system resilience while minimizing resource consumption.

关键词： blockchain information security IOTA IPFS

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Service Oriented Design for Indonesian E-Government System Using SOA 6

Service Oriented Design for Indonesian E-Government System U...

引用

Joint Conference of the 6th Annual Conference of Industrial and System engineering 2019, ACISE 2019 and 1st International Conference on Risk Management as an Interdisciplinary Approach 2019, ICRMIA 2019

作者： Fajar, A.N. Shofi, I.M. Information Systems Management Department BINUS Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering UIN Syarif Hidayatullah Indonesia

The objective of this study is to create a services design of E-Government system that can help Indonesian government to resolve some problems such as diversity platform and application. It causes the island applications that can make decision support processes is not well happen. In this study, we use literature review as an approach to discuss the phenomenon. It is performed by identifying, evaluating, and combining information from several other studies which relevant with this study's research questions. We use services oriented analysis and design approach to discussing the phenomenon. The ability of Service-oriented Architecture to connect multiple services between diversity systems and it can help the enterprise application travelling in Indonesian government. The case in this study is travelling system in Indonesia Government. The results in this study are the conceptual services for Travelling System using SOA approach and ESB Technology. It consists of several services and business services which is can be integrated among of them. © Published under licence by IOP Publishing Ltd.

关键词： information services

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Speaker-Specific Articulatory Feature Extraction Based on Knowledge Distillation for Speaker Recognition

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APSIPA Transactions on Signal and information Processing 2023年第2期12卷

作者： Qian-Bei Hong Hsin-Min Wang Chung-Hsien Wu Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Taiwan Graduate Program of Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica and Department of Computer Science and Information Engineering National Cheng Kung University Taiwan

This paper proposes a novel speaker-specific articulatory feature (AF) extraction model based on knowledge distillation (KD) for speaker recognition. First, an AF extractor is trained as a teacher model for extracting the AF profiles of the input speaker dataset. Next, a KD-based speaker embedding extraction method is proposed to distill the speaker-specific information from the AF profiles in the teacher model to a student model based on multi-task learning, in which the lower layers not only capture the speaker characteristics from acoustic features, but also learn the speaker-specific features from the AF profiles for robust speaker representation. Finally, speaker embeddings are extracted from the high-level layer, and the obtained speaker embeddings are further used to train a probabilistic linear discriminant analysis (PLDA) model for speaker recognition. In the experiments, speaker embedding models were trained using the VoxCeleb2 dataset and the AF extractor was trained based on the LibriSpeech dataset, and the performance was evaluated using the VoxCeleb1 dataset. The experiments showed that the proposed KD-based models outperformed the baseline models without KD. Furthermore, feature concatenation of multimodal results can further improve the performance.

关键词： Speaker recognition articulatory feature knowledge distillation

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Reinforcement Learning Compensator Robust to the Time Constants of First Order Delay Elements

Reinforcement Learning Compensator Robust to the Time Consta...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Shoki Kobayashi Takeshi Shibuya Master’s Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Japan

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

Reinforcement learning is a learning paradigm in which a control is learned automatically based on rewards through trial and error based on rewards. When reinforcement learning is employed for robot control, the action that is output by reinforcement learning and the input of the actuator are often the same. A robot's actuator has a time constant of a first-order delay element between input and output. Delays result in the deterioration of the reinforcement learning performance because the environments that contain them lack the Markov property. Although there have been studies of such environments, they are problematic in that performance deteriorates when the time constant of a first-order time-delay element greater than the control cycle. The principal contribution of this paper is to propose a compensator for reinforcement learning that is more effective than conventional methods for environments with a time constant of a first-order time-delay element greater than the control cycle. The purpose of the compensator is to minimize the difference between actions in delayed environments and those not in delayed environments. Experiments reveal that the compensator increases rewards within wider ranges than conventional methods.

关键词： Actuators Robot control Reinforcement learning Markov processes Manipulators Delays Cybernetics

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Underwater Visible Light Communication Using Phase-Shift Keying and Rolling-shutter Effect

Underwater Visible Light Communication Using Phase-Shift Key...

引用

IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ritsuki Hamagami Tadashi Ebihara Naoto Wakatsuki Koichi Mizutani Master’s Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Tsukuba Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Japan

ISBN: (数字)9781728198026

ISBN: (纸本)9781728198033

We propose an underwater visible light communication (VLC) system for use in drones. The transmitter modulates a message using phase-shift keying (PSK) and emits the signal as LED fast-blinking light. The receiver captures this pattern with a CMOS image sensor using a rolling-shutter effect, and demodulates PSK. In existing VLC systems, rolling-shutter effect is used to transmit baseband signals; this system transmits a passband signal tolerant of low-frequency optical interference noise. System performance was evaluated in test-tank experiments. Findings suggested that the VLC system with PSK outperformed that using on-off keying when noise frequency did not exceed carrier frequency.

关键词： Phase shift keying Interference Optical receivers Optical transmitters Optical sensors Optical noise Visible light communication

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No external load measurement strategy for micro thermoelectric generator based on high-performance Si_(1-x-y)Ge_(x)Sn_(y) film

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Journal of Materiomics 2021年第4期7卷 665-671页

作者： Ying Peng Sijing Zhu Huajun Lai Jie Gao Masashi Kurosawa Osamu Nakatsuka Sakae Tanemura Biaolin Peng Lei Miao Guangxi Key Laboratory of Information Material School of Material Science and EngineeringGuilin University of Electronic TechnologyGuilin541004China Department of Materials Physics Graduate School of EngineeringNagoya UniversityNagoya464-8603Japan PRESTO Japan Science and Technology Agency4-1-8HonchoKawaguchiSaitama332-0012Japan Institute of Materials and Systems for Sustainability Nagoya UniversityNagoya464-8601Japan Japan Fine Ceramics Center 2-4-1 MutsunoAtsuta-kuNagoya456-8587Japan Center on Nanoenergy Research Guangxi Key Laboratory of Processing for Non-ferrous Metal and Featured MaterialsGuangxi Key Laboratory for Relativity AstrophysicsNanning530004China Department of Materials Science and Engineering SIT Research LaboratoriesInnovative Global ProgramFaculty of EngineeringShibaura Institute of TechnologyTokyo135-8548Japan

In this study,a micro in-plane p-type thermoelectric generator(TEG),which consists of thin-film Si_(1-x-y)Ge_(x)Sn_(y) ternary alloy semiconductor on insulator,is developed to make efficient use of waste heat such as human body.A power factor value as high as 1095 mWm^(-1) K^(-2) had been achieved using Bion implanted and short-term rapid thermal annealing(RTA)*** addition,a measuring scheme for micro TEG without external load resistance was *** one measuring session,multiple parameters can be *** micro single-arm TEG prepared by semiconductor process can output 0.29 nW power at a temperature difference of 15 K,and a cross-sectional power density has reached up to 0.58 mW/cm^(2),which is a superior value for wearable *** findings of this study have important reference value for wearable device performance improvement and output power measuring of micro TEG.

关键词： Si_(1-x-y)Ge_(x)Sn_(y) film P-type TEG No external load measurement Ambient power density

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Corrigendum to “Behavioral aspects of safety culture: Identification of critical safety-related behaviors of motorcyclists in Indonesia's urban areas via the application of behavioral-based safety programs” [IATSS Research journal 46 (October 2022) 353–369]

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IATSS Research 2022年第4期46卷 623-623页

作者： Andrijanto Makoto Itoh Felix Sandro Sianipar Risk Engineering Department Graduate School of Systems and Information Engineering University of Tsukuba Ibaraki 305-8573 Japan Industrial Engineering Program Study Faculty of Engineering Universitas Kristen Maranatha Bandung 40164 Indonesia Faculty of Engineering Information and Systems University of Tsukuba Ibaraki 305-8573 Japan

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Smart photonic wristband for pulse wave monitoring

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Opto-Electronic Science 2024年第12期3卷 12-27页

作者： Renfei Kuang Zhuo Wang Lin Ma Heng Wang Qingming Chen Arnaldo Leal Junior Santosh Kumar Xiaoli Li Carlos Marques Rui Min Center for Cognition and Neuroergonomics State Key Laboratory of Cognitive Neuroscience and LearningBeijing Normal UniversityZhuhai 519087China College of Science Shenyang Aerospace UniversityShenyang 110136China School of Microelectronics Science and Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and SystemsSun Yat-Sen UniversityZhuhai 519082China Graduate Program in Electrical Engineering Federal University of Espírito SantoFernando Ferrari AvenueVitoria 29075-910Brazil Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationVaddeswaramAndhra Pradesh 522302India CICECO-Aveiro Institute of Materials Physics DepartmentUniversity of AveiroAveiro 3810-193Portugal

Real-time acquisition of human pulse signals in daily life is clinically important for cardiovascular disease monitoring and ***,we propose a smart photonic wristband for pulse signal monitoring based on speckle pattern analysis with a polymer optical fiber(POF)integrated into a sports *** different speckle pattern processing algorithms and POFs with different core diameters were *** results indicated that the smart photonic wristband had a high signal-to-noise ratio and low latency,with the measurement error controlled at approximately 3.7%.This optimized pulse signal could be used for further medical diagnosis and was capable of objectively monitoring subtle pulse signal changes,such as the pulse waveform at different positions of Cunkou and pulse waveforms before and after *** the assistance of artificial intelligence(AI),functions such as gesture recognition have been realized through the established prediction model by processing pulse signals,in which the recognition accuracy reaches 95%.Our AI-assisted smart photonic wristband has potential applications for clinical treatment of cardiovascular diseases and home monitoring,paving the way for medical Internet of Things-enabled smart systems.

关键词： smart healthcare specklegram pulse monitoring gesture recognition artificial intelligence wearable sensor

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