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共 5705 条记录，以下是121-130 订阅

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Demo: BCG Measurement by differential Sensing in Real-Time 18

Demo: BCG Measurement by differential Sensing in Real-Time

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Kulau, Ulf Rust, Jochen Albrecht, Urs-Vito Hamburg Univ Technol Smart Sensors Hamburg Germany DSI Aerosp Technol GmbH Bremen Germany Bielefeld Univ Med Fac OWL Dept Digital Med Bielefeld Germany

ISBN: (纸本)9781665495127

We propose a comprehensive health monitoring of astronauts which is based on Ballistocardiography (BCG). BCG uses high-precision accelerometers to measure the motion of the heart at the body surface. In contrast to conventional methods (e.g. Electrocardiography (ECG)), BCG enables the derivation of heart-related parameters that can otherwise only be recorded by imaging methods such as echocardiography. A huge issue is the signal quality of the acceleration measurement, however, by means of differential arrangement of digital acceleration sensors, the signal quality and also the susceptibility to interference can be reduced when measuring the smallest accelerations. In preparation for a BCG experiment on the international Space Station (ISS), a pre-flight measurement system was developed whose architectural design is similar to the flight hardware, but extended by a reference ECG. To simplify measurement campaigns, the simultaneously recorded BCG and ECG data can be visualized in real time, which will be shown in this demo.

关键词： sensor System Ballistocardiography Differential Sensing Accelerometers Health Monitoring Human Spaceflight

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distributed Decision Making Enabled by the Arrowhead Framework 5

Distributed Decision Making Enabled by the Arrowhead Framewo...

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ieee 5th international conference on Industrial Cyber-Physical systems (ICPS)

作者： Gallardo, Carlos Bocanegra Moder, Patrick Ehm, Hans Supply Chain Engn Innovat Infineon Technol AG Neubiberg Germany

ISBN: (纸本)9781665497701

Democratic decision making processes play a crucial role in any society, but also in organizations, especially those containing large interest groups and distributed stakeholders. Likewise, digitalization is at the forefront among companies in recent years. this study captures the development of a digital voting system with convincing performance, as a response to the requirements for such a solution that evolved from the case company on hand. We deploy the service-oriented architecture described in the Arrowhead Framework for a wearable device, equipped with a barometric pressure sensor (to capture the height) and the ESP8266 microcontroller to process data and calculate voting results. We validate the proposed approach by comparing its capabilities in terms of response time, user-friendliness and distributivity against a conventional version to demonstrate performance advantages. We find that by integrating the Arrowhead Framework, a distribution decision making solution is feasible, which serves as proof of concept for the case company we are collaborating with. In essence, it (i) reveals implications for managers that service-oriented architecture is a promising cornerstone for distributed connectivity, and (ii) provides initial guidance for developers, how such distributed democratic decision making may be set up in practice.

关键词： service-oriented architecture internet of things application of industrial cyber-physical systems

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Applications of Large-Scale Quantum Neural Networks Based on distributed Quantum computing 16

Applications of Large-Scale Quantum Neural Networks Based on...

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16th international conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Kan, Yin He, Junyuan Xue, Cheng Anhui University AHU-IAI Ai Joint Laboratory Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei Hefei China Institute of Artificial Intelligence Comprehensive National Science Center Hefei China

ISBN: (纸本)9798350390643

this research investigates the limitations of current quantum hardware in fulfilling the computational demands of quantum neural networks. It introduces an optimized circuit computed method leveraging bit splitting within the framework of distributed quantum computing. the research exemplifies this approach by decomposing a 25-qubit variational quantum circuit into several smaller 5-qubit circuits, thereby enabling distributed quantum computations. A hybrid quantum-classical neural network architecture employing this methodology was implemented and evaluated on selected computer vision datasets. the results were promising, affirming the viability of the approach. the successful implementation of this architecture suggests that future distributed quantum computing systems will likely consist of scalable, heterogeneous quantum systems interconnected through an extensive quantum network. this configuration is anticipated to significantly enhance computational power and versatility, expanding the scope of quantum computing applications in real-world scenarios. this advancement not only validates the feasibility of distributed quantum architectures but also underscores their potential to revolutionize various technological domains through enhanced computational capabilities. © 2024 ieee.

关键词： Quantum electronics

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distributed Resource Allocation and Offloading Strategy Based on Deep Reinforcement Learning in V2V 5

Distributed Resource Allocation and Offloading Strategy Base...

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5th international conference on Natural Language Processing, ICNLP 2023

作者： Yali, Shi Zhi, Yang Chunyan, Xiao Xi' An University of Posts and Telecommunications School of Electronic Engineering Xi'an710121 China

ISBN: (纸本)9798350302219

Aiming at the communication range of vehicles leaving the edge server, a distributed computing offload scheme is proposed. this scheme divides the vehicle computing intensive tasks into multiple subtasks, makes full use of the computing resources of surrounding vehicles and considers the allocation of communication resources. the problem is modeled as minimizing the maximum processing delay of all subtasks, a resource allocation scheme based on DQN (RADQN) is proposed. the simulation results show that the proposed algorithm has certain advantages compared with the scheme without considering communication resource allocation, and it is still superior to other schemes when the service vehicle speed is fast. © 2023 ieee.

关键词： Vehicles

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Recent Gas/Odor sensor Array Signal Processing Trend for Model Nose: A Mini Review 5

Recent Gas/Odor Sensor Array Signal Processing Trend for Mod...

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5th international conference on Electronics and Sustainable Communication systems, ICESC 2024

作者： Chaudhri, Shiv Nath Department of Computer Science and Design Wardha India

ISBN: (纸本)9798350379945

the study of merging artificial intelligence and the processing of gas and odor sensors' data is known as artificial olfaction or model nose. Gas/odor sensor data is formed by sensor response modalities that produce signature patterns that represent a particular response of a gas/odor sensor. It can be difficult to analyze the particular objective by using drift-affected gas and odor sensor data and trying to gain hidden insight from the model nose. the classification and quantification of gas and odor sensor signals is significantly challenging in model nose tasks and plays a vital role in careful sensor signal processing. the application of data-driven tactics for utilizing the outcomes of the model nose for higher performance is quite challenging. the gas/odor sensor signal processing aims to provide salient features as per the application area, in addition to achieving high accuracy. the recent sensor signal processing methods for the model nose were reviewed. the dataset, response modalities employed, trade-offs associated with each technique, and classification and quantification techniques were all covered in the article. At the end, it is demonstrated that there is a significant challenge and an open research area regarding the improvement of sensor signal processing techniques, such as raising accuracy and sensitivity values and being practical in using model noses efficiently. © 2024 ieee.

关键词： Array processing

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Optimizing Resource Efficiency in Smart Greenhouses through IoT 5

Optimizing Resource Efficiency in Smart Greenhouses through ...

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5th ieee international conference for Emerging Technology, INCET 2024

作者： Debdas, Subhra Pandey, Shikhar Gupta, Shivam Dash, Ranjan Kumar Patnaik, Manik Chand Singh, Anusthan Ajay School of Electrical Engineering KIIT Deemed to Be University Bhubaneswar India School of Computer Engineering KIIT Deemed to Be University Bhubaneswar India Odisha University of Technology and Research Bhubaneswar India Department of CSE Roland Institute of Technology Brahmapur India

ISBN: (纸本)9798350361155

In the pursuit of sustainable agriculture, smart greenhouses have emerged as a vital solution, enhancing crop productivity while assuring resource *** research delves into the optimization of resource efficiency in smart greenhouses by leveraging the Internet of things (IoT). through a comprehensive review of current technologies and methods, the study identifies key challenges and opportunities within the domain. A novel framework is proposed, integrating IoT sensors and actuators to monitor and control the microclimate, ensuring optimal growth conditions while minimizing resource usage. Data from sensor networks are analyzed to predict resource needs, enabling precision farming practices. the framework emphasizes the use of Machine Learning algorithms to enable predictive analytics for resource allocation, ensuring that water, nutrients, and energy are distributed more efficiently. the potential of Lightweight Resource Allocation (LaRA) algorithms is also explored to maintain the delicate balance between maximizing yield and minimizing environmental impact. Ultimately, this research highlights the transformational potential of IoT in creating green, efficient, and productive agricultural practices within smart greenhouses. © 2024 ieee.

关键词： sensor networks

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An Optical Micro-Displacement Monitoring sensor for Transmission Power Towers 5

An Optical Micro-Displacement Monitoring Sensor for Transmis...

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5th international conference on Smart Grid and Energy Engineering, SGEE 2024

作者： Yang, Wanli Liu, Weigang Ma, Xuheng Zhu, Yongming Feng, Kai Han, Tao Qiang, Kaiji Li, Zhangtian State Grid Xinjiang Electric Power Co. Ltd. Changji Electric Power Supply Company Changji831100 China School of Electrical Engineering Xi'an University of Technology Xi'an710048 China

ISBN: (纸本)9798331530686

Transmission power towers (TPT) represent a crucial component of the power delivery systems. Many damaging events of TPT triggered by storms, earthquakes, ice and corrosion have been recorded worldwide, resulting in significant financial losses. therefore, domestic and foreign scholars actively promote the scientific theoretical research and practical engineering project implementation of TPT monitoring, safety assessment and disaster prevention. this paper develops a novel optical-based micro-displacement sensor for monitoring the displacement of transmission power towers. the millimeter-scale measurement range of the sensor addresses the low measurement accuracy of the existing displacement sensor. the gradual application of the new wireless and optical innovation methods provides an essential reference for the realm of micro-displacement sensors. © 2024 ieee.

关键词： Velocity measurement

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Spectral Clustering Based Resource Allocation Strategy for distributed Large-scale Network Emulation 25

Spectral Clustering Based Resource Allocation Strategy for D...

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25th ieee international conferences on High Performance computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Chen, Jiyan Gu, Rentao Bai, Lin Sch. of Information and Communication Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing China School of Economics and Management Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350330014

Nowadays, networks are increasingly reliant on software frameworks and virtualization. To obtain relevant pre-dictions of the behavior of their protocols, network emulation tools play a crucial role. However, as networks grow in size and complexity, the emulation task demands more physical resources such as CPU and memory. Consequently, a single physical machine is no longer sufficient to handle large-scale network emulation. Instead, distributed network emulation tools must be employed for resource-intensive network emulation tasks. In resource-intensive distributed network emulation, the physical resource allocation is NP-hard to perform appropriately. In this paper, we propose SCBG (spectral clustering based greedy node placement algorithm) as a means to enhance the bandwidth utilization between physical nodes in distributed emulation. SCBG aims to address the communication bottleneck in distributed network simulation, surpassing the algorithm proposed by Distrinet, while also improving the algorithm's execution speed. Additionally, SCBG incorporates optimization for time dilation when physical bandwidth resources are severely insufficient. this optimization leads to a reduction in the additional time required for network simulation after applying time dilation. Experimental results demonstrate that SCBG surpasses the algorithm in Distrinet across a diverse range of intricate large-scale networks. © 2023 ieee.

关键词： Optimization

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Stochastic Event-based Single sensor Quickest Change Detection 5

Stochastic Event-based Single Sensor Quickest Change Detecti...

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5th international conference on Electronics and Communication, Network and Computer Technology, ECNCT 2023

作者： Hao, Xile Sun, Yongkui School of Electrical Engineering Southwest Jiaotong University Chengdu China

ISBN: (纸本)9798350328660

Quickest change detection has been applied in many aspects and has shown good results in sensor networks. A change point detection problem based on stochastic event-Triggered schedule is designed to address the issue of quickest change point detection with a single sensor, while also considering decreasing sensor energy. the stochastic event-Triggered communication is determined by the Gaussian function and the values of uniformly distributed random variables. Under this model, mathematical expressions of three indexes were obtained, namely the average communication rate, the average detection delay, and the average communication rate. the simulation results prove that this method is effective. © 2023 ieee.

关键词： sensor networks

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SELF-CARE: Selective Fusion with Context-Aware Low-Power Edge computing for Stress Detection 18

SELF-CARE: Selective Fusion with Context-Aware Low-Power Edg...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Rashid, Nafiul Mortlock, Trier Al Faruque, Mohammad Abdullah Univ Calif Irvine Dept Elect Engn & Comp Sci Irvine CA 92697 USA Univ Calif Irvine Dept Mech & Aerosp Engn Irvine CA USA

ISBN: (纸本)9781665495127

Detecting human stress levels and emotional states with physiological body-worn sensors is a complex task, but one with many health-related benefits. Robustness to sensor measurement noise and energy efficiency of low-power devices remain key challenges in stress detection. We propose SELFCARE, a fully wrist-based method for stress detection that employs context-aware selective sensor fusion that dynamically adapts based on data from the sensors. Our method uses motion to determine the context of the system and learns to adjust the fused sensors accordingly, improving performance while maintaining energy efficiency. SELF-CARE obtains state-of-theart performance across the publicly available WESAD dataset, achieving 86.34% and 94.12% accuracy for the 3-class and 2-class classification problems, respectively. Evaluation on real hardware shows that our approach achieves up to 2.2x (3-class) and 2.7x (2-class) energy efficiency compared to traditional sensor fusion.

关键词： Stress detection edge computing energy efficiency sensor fusion

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