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18th International Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2025

作者： Santos, Salvador Sousa, Joana Ferreira, João NOS Inovação Rua Actor António Silva Lisbon Portugal

This paper discusses the design and implementation of a wearable electrodermal activity (EDA) sensor intended to detect subtle changes in skin conductivity, which are indicative of emotional states such as stress and anxiety, thus monitoring stress and arousal levels through advanced machine learning techniques. The device incorporates innovative conductive lycra combined with silver-silver chloride (Ag/AgCl) electrodes, enabling optimal skin contact and enhancing signal reliability. This integration allows for effective measurement of EDA. Utilizing the XGBoost algorithm, our machine learning model was trained on the ASCERTAIN dataset, achieving an overall accuracy of approximately 77% in predicting levels of arousal. While the model exhibited some challenges in predicting intermediate arousal states, it demonstrated strong precision and recall for extreme levels of arousal, underscoring its potential applications in mental health monitoring and human-computer interaction. The capabilities of this wearable technology for continuous and long-term health monitoring pave the way for further research into stress assessment and the understanding of emotional responses, emphasizing its relevance in enhancing psychological well-being. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Silver halides

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Collaborative Perception in Multi-Robot systems: Case Studies in Household Cleaning and Warehouse Operations 6

Collaborative Perception in Multi-Robot Systems: Case Studie...

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6th International conference on Robotics and Computer Vision, ICRCV 2024

作者： Nair, Bharath Rajiv Columbia University Dept. of Mechanical Engineering New York United States

ISBN: (纸本)9798331527426

This paper explores the paradigm of Collaborative Perception (CP), where multiple robots and sensors in the environment share and integrate sensor data to construct a comprehensive representation of the surroundings. By aggregating data from various sensors and utilizing advanced algorithms, the collaborative perception framework improves task efficiency, coverage, and safety. Two case studies are presented to showcase the benefits of collaborative perception in multi-robot systems. The first case study illustrates the benefits and advantages of using CP for the task of household cleaning with a team of cleaning robots. The second case study performs a comparative analysis of the performance of CP versus Standalone Perception (SP) for Autonomous Mobile Robots operating in a warehouse environment. The case studies validate the effectiveness of CP in enhancing multi-robot coordination, task completion, and overall system performance and its potential to impact operations in other applications as well. Future investigations will focus on optimizing the framework and validating its performance through empirical testing. © 2024 IEEE.

关键词： Multipurpose robots

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advanced hydrogen sensitive material WO3 and its optical sensing properties 12

Advanced hydrogen sensitive material WO3 and its optical sen...

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conference on advanced sensor systems and applications xiI

作者： Zhou, Yuchen Yang, Minghong Hu, Wenbin Dai, Jixiang Natl Engn Res Ctr Fiber Opt Sensing Technol & Net Wuhan Peoples R China

ISBN: (纸本)9781510657090;9781510657083

The correlation between reflected light intensity and hydrogen concentration is the basis of the end-face type hydrogen sensor with WO3 coating. However, the changes of optical properties of WO3 under different hydrogen concentrations have not been fully investigated, and its hydrogen sensitivity mechanism is still unclear, which restricts the improvement and optimization of hydrogen sensing performance. Therefore, the relationship between hydrogen concentration and Refractive Index (RI) of WO3 is established in this paper to explore the hydrogen sensitive mechanism. The experimental results show that the RI of WO3 changes when hydrogen is introduced, and the RI varies under different hydrogen concentration. Since there is a certain mathematical relationship between the RI value and the reflectivity of the films, the RI changes measured by ellipsometer is further verified by the intensity-tracing experiments results. Hence, we can clarify that the hydrogen sensitivity mechanism of WO3 is related to its RI changes under different hydrogen concentration, which will provide a basis for the further research and applications.

关键词： WO3 Gasochromic effect the Refractive Index Optical fiber hydrogen sensor

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Towards Industry 4.0: An IoT-Enabled Data-Driven Architecture for Predictive Maintenance in Pharmaceutical Manufacturing 1

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International conference on advanced Intelligent systems for Sustainable Development, AI2SD 2023

作者： Manchadi, Oumaima Ben-BOUAZZA, Fatima-Ezzahraa Dehbi, Zineb El Otmani Said, Zakaria Jioudi, Bassma Clinical and Medical Sciences and Biomedical Engineering Laboratory Mohammed VI University of Sciences and Health Casablanca Morocco Mohammed VI University of Sciences and Health Casablanca Morocco Laboratory of Genomics Bioinformatics and Digital Health Mohammed VI University of Sciences and Health Casablanca Morocco LaMSN La Maison des Sciences Numériques Saint-Denis France Mathematical Analysis and Applications Laboratory University Sidi Mohamed Ben Abdellah Fes Morocco

ISBN: (数字)9783031523854

ISBN: (纸本)9783031523847

In recent years, there has been a surge in the adoption of Predictive Maintenance (PdM) systems. This is primarily due to their ability to restrict maintenance expenses, reduce unscheduled downtime, and enhance the dependability of equipment. The implementation of Predictive Maintenance (PdM) systems holds significant importance in the pharmaceutical industry, where equipment downtime can have severe implications for product quality and patient safety. The present study puts forth a system architecture for PdM in the pharmaceutical sector, with a particular emphasis on the cyclotron as a case study. Several novel characteristics distinguish our predictive maintenance architecture from prior techniques. We start with advanced machine learning techniques that can handle complex and dynamic cyclotron data patterns. Second, we combine realtime sensor data from many sources for precise health monitoring and fault diagnosis. Our design also uses a data-driven prognostic model to predict breakdowns and suggest maintenance. These innovative parts create a full, proactive cyclotron maintenance system. The implementation of a PdM system has the potential to enhance operational efficiency, ensure safety, and improve product quality by anticipating equipment malfunctions prior to their occurrence. The proposed architecture for predictive maintenance makes a significant contribution to the field of cyclotron maintenance. By leveraging advanced machine learning techniques, real-time sensor data integration, and proactive fault prediction, our solution addresses the critical challenges associated with ensuring cyclotrons operate without interruption. Our research opens up novel possibilities for optimizing predictive maintenance for complex, high-stakes systems such as cyclotrons. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Machine learning

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Image Transmission Based on Semantics Communication in Vehicle-Infrastructure Collaboration System 10

Image Transmission Based on Semantics Communication in Vehic...

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10th International conference on Dependable systems and Their applications, DSA 2023

作者： Li, Jingjing Sheng, Kai Ao, Lei Itoh, Makoto Yang, Qinghai Xidian University School of Telecommunications Engineering Xi'an710071 China Xidian University Academy of Advanced Interdisciplinary Research Xi'an710071 China Xidian University School of Electronic Engineering Key Laboratory of Collaborative Intelligence Systems Ministry of Education Xi'an710071 China University of Tsukuba Institute of Systems and Information Engineering Tsukuba308-8573 Japan

ISBN: (纸本)9798350304770

In the intelligent vehicle infrastructure collaboration system (i-VICS), the sensing task evolves from being realized by a single vehicle to being accomplished by multiple automatons such as roadside and multi-vehicle collaborations. Image is a key carrier for information transmission and is the most important information source to improve the efficiency of traffic operation driving experience with comfort and safety. Traditional image coding methods focus on the research of preserving the maximum amount of information with as little codes as possible. However, limited by Shannon's separation theorem, image communication based on conventional coding can only infinitely approximate the optimal information transmission performance that usually decided by the channel with less resource. In particular, when the wireless channel conditions change worst, the coding could not cope with the change dynamically, and then bit error rate increases sharply. To overcome the above deficiencies, this paper proposes an image transmission system based on semantic communication, called ITSSC to transmit images for i-VICS. Deep learning-based joint source-channel coding (Deep JSCC) is deployed to extract and encode the semantics for transmission. Swin transformer-based attention mechanism is applied to expand the perceptual field of features and improve the quality of image recovery. Finally, the proposed ITS-SC is validated on the traffic dataset KITTI. The results show that our proposed method can meet the image transmission requirements for the i-VICS scenario with bandwidth resources saving. © 2023 IEEE.

关键词： Image communication systems

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Research on Task Scheduling Methods for Intelligent Connected Vehicles with End-to-End Delay Constraints 22

Research on Task Scheduling Methods for Intelligent Connecte...

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22nd IEEE International conference on Industrial Informatics, INDIN 2024

作者： Yang, Shichun Chen, Wenlong Zhang, Boao Duan, Qianlong Hao, Bide Yan, xiaoyu School of Transportation Science and Engineering Bei Hang University Beijing China Research Institute of Aero-Engine Bei Hang University Beijing China

ISBN: (纸本)9798331527471

With the rapidly growing Intelligent Connected Vehicle (ICV) industry, modern advanced Driver Assistance systems (ADAS) integrate critical and non-critical software functions on the same hardware platform. These functions have complex timing requirements and associated dependencies. To ensure the real-time safety of critical automotive applications, complex task chains with dependencies generated by automotive applications (e.g. sensor data acquisition, data processing, and control execution) must meet the worst end-to-end latency. The resulting task scheduling problem requires the assignment of tasks to available cores for execution and the generation of static schedules that satisfy the timing constraints of the tasks and the end-to-end latency of the task chain. In this paper, a task scheduling and task mapping method based on an intelligent heuristic algorithm is proposed for the ADAS platform, and simulated scheduling based on the EDF algorithm. The optimal task scheduling scheme is selected by calculating the fitness function by the intelligent heuristic algorithm, and the simulated annealing algorithm (SA) is selected as the benchmark for the experiment. The experimental results show that the grey wolf optimizer converges faster and finds a better scheduling scheme, which reduces the total time of scheduling tasks. © 2024 IEEE.

关键词： advanced driver assistance systems

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Dynamic sensor Arrays Based on Solution-Processed Metal Oxide Semiconductor Thin-Film Transistors

Dynamic Sensor Arrays Based on Solution-Processed Metal Oxid...

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2022 IEEE International conference on Integrated Circuits, Technologies and applications, ICTA 2022

作者： Zhu, Bowen School of Engineering Westlake University Hangzhou China Institute of Advanced Technology Westlake Institute for Advanced Study Hangzhou China

ISBN: (数字)9781665492690

ISBN: (纸本)9781665492690

Flexible active-matrix sensor arrays provide large area and high spatial resolution for emerging sensing applications in electronic skin, health monitoring, and human-machine interfaces. However, it is still a challenge to achieve flexible active-matrix sensor arrays with low cost, low crosstalk, high sensitivity, and high uniformity characteristics. Here, we demonstrate a low-cost, high-resolution flexible sensor array by integrating solution-processed indium oxide (In2O3) transistor array with stimuli-sensitive (force, light, etc.) layers. This strategy provides an effective and universal solution to achieve large-area, active-matrix sensor arrays for future soft electronics applications. © 2022 IEEE.

关键词： Oxide semiconductors

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Investigation of a cloud platform-based control system for an integrated water and fertilizer machine 4

Investigation of a cloud platform-based control system for a...

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4th International conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2024

作者： Yu, Zhongxing Sang, Shuguang Zhou, Yihua Dai, Yingying Zhang, Lu Ouyang, Hanqing School of Mechanical Engineering University of Jinan Shandong Jinan China

ISBN: (数字)9781510679887

ISBN: (纸本)9781510679870

This article introduces the design and research of a cloud based integrated water and fertilizer control system, aiming to achieve intelligent management of agricultural water and fertilizer resources through the integration of Internet of Things technology and cloud computing. The system utilizes sensor networks to monitor soil and environmental parameters in real-time, and uploads data to the cloud for processing. The cloud platform analyzes data and automatically adjusts irrigation and fertilization strategies to optimize resource utilization and increase crop yield. Users can monitor the condition of farmland through mobile applications, manually adjust plans, or query historical data. The experimental results indicate that the system can effectively improve agricultural production efficiency and crop quality, which is of great significance for achieving precision agriculture. © 2024 SPIE.

关键词： Control systems

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Smart Water-Powered Renewable Energy System with IoT Integration

Smart Water-Powered Renewable Energy System with IoT Integra...

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2024 International conference on Decision Aid Sciences and applications, DASA 2024

作者： Ahmed, Amjed Abbas Najim, Ali Hamza Ibraheem, Ahmed Salman Ali Alheeti, Khattab M. Mohd Satar, Nurhizam Safie Abdallah Hashim, Aisha Hassan Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Malaysia Department of Computer Techniques Engineering Baghdad Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq Department of Computer Technical Engineering Baghdad Iraq College of Computer and Information Technology Computer Networking Systems Department University of Anbar Anbar Iraq Center for Cyber Security Faculty of Information Science and Technology Bangi43600 Malaysia International Islamic University Malaysia Faculty of Engineering Department of Electrical and Computer Engineering Selangor Malaysia

ISBN: (纸本)9798350369106

An advanced hybrid renewable energy collecting and storage system prototype that utilizes water flow as its primary power source. Additionally, the system incorporates an energy monitoring system based on the Internet of Things (IoT) technology. The device effectively harnesses energy from the movement of water, storing it for future use in low-voltage applications. It demonstrates a maximum daily energy capture capacity of about 100Wh. The energy monitoring system, based on the Internet of Things (IoT), enables the real-time and remote monitoring of energy harvesting and usage. We thoroughly assessed the energy harvesting component across different situations to identify the crucial parameters that impact energy output. The results of our study demonstrate that several elements, including the spatial separation 'between the energy harvester and the water source, Water flow' speed, sensor orientation, and sensor density, all play significant roles in determining the quantity of energy collected. This research shows that it is possible to integrate IoT technology with hydropower renewable energy systems. It provides significant perspectives on enhancing energy extraction efficiency in practical scenarios. © 2024 IEEE.

关键词： harvesting renewable energy IoT storage energy water flow energy

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High temperature co-firing of 3D-printed AleZnO/Al_(2)O_(3) multimaterial two-phase flow sensor

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Journal of Materiomics 2022年第3期8卷 710-718页

作者： Danwei Zhang Win Jonhson Tun Seng Herng xi Xu xiaojing Liu Liang-ming Pan Hui He Jun Ding Department of Materials Science and Engineering Faculty of EngineeringNational University of Singapore9 Engineering Drive 1117576Singapore Institute of Materials Research and Engineering Agency for ScienceTechnology and Research2 Fusionopolis Way138635Singapore Institute of Flexible Electronics Xi'an Key Laboratory of Flexible ElectronicsNorthwestern Polytechnical UniversityXi'an710072China School of Nuclear Science and Engineering Shanghai Jiao Tong UniversityShanghai200240China Key Laboratory of Low-Grade Energy Utilization Technologies and Systems(Chongqing University) Ministry of EducationChongqing400044China

sensors are crucial in the understanding of machines working under high temperatures and highpressure *** devices utilize polymeric materials as electrical insulators which pose a challenge in the device's ***,on the other hand,is robust and able to withstand high temperature and *** such applications,a co-fired ceramic device which can provide both electrical conductivity and insulation is beneficial and acts as a superior candidate for sensor *** this paper,we propose a novel fabrication technique of complex multi-ceramics structures via 3D *** fabrication methodology increases both the geometrical complexity and the device's shape *** ceramics(alumina)was employed as the electrical insulator whilst providing mechanical rigidity while a functional ceramic(alumina-doped zinc oxide)was employed as the electrically conductive *** addition of sintering additives,tailoring the printing pastes'solid loadings and heat treatment profile resolves multi-materials printing challenges such as shrinkage disparity and densification *** high-temperature co-firing of ceramics(HTCC)technology,dense high quality functional multi-ceramics structures are *** proposed fabrication methodology paves the way for multi-ceramics sensors to be utilized in high temperature and pressure systems in the near future.

关键词： 3D printing Multi-material Robocasting sensors Ceramics

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