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检索条件"任意字段=IEEE International Conference on Distributed Computing in Sensor Systems"

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Model Privacy Preservation in distributed systems through Machine Learning

Model Privacy Preservation in Distributed Systems through Ma...

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2023 international conference on Innovative computing, Intelligent Communication and Smart Electrical systems, ICSES 2023

作者： Naga Nymisha, Tummala Venkata Nanda Krishna, Ch. Mahita, Kantamneni Department of Information Technology Andhra Pradesh Vijayawada India

ISBN: (纸本)9798350319200

The increasing integration of machine learning models into distributed systems raises a pressing concern: how to safeguard privacy of the data and secure the model during sharing. In response to the challenge, a robust solution was proposed. The project's central problem is ensuring the privacy and security of machine learning models within distributed environments. To solve the issue, a machine learning based model is developed for predictive tasks while emphasizing the paramount importance of data privacy and security. With dataset selection, a k-nearest neighbors (KNN) model was constructed. For secure sharing of the model across distributed systems, the Advanced Encryption Standard (AES) algorithm was used to encrypt the model feature and dataset. AES, being a symmetric key algorithm, necessitates secure encryption key exchange. The Rivest-Shamir-Adleman (RSA) algorithm is used to solve the problem, an asymmetric key system with public and private keys. The AES encryption key is securely transmitted via the recipient's public key encryption. Upon reception, decryption enables the reconstruction and utilization of the machine learning based model for further predictions. The project offers a comprehensive solution to the overarching problem of preserving data privacy and model security in distributed systems. By combining various encryption algorithms, the confidentiality and integrity of sensitive machine-learning models within distributed environments were ensured. © 2023 ieee.

关键词： AES encryption Data privacy distributed systems KNN model RSA encryption Secure model sharing

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sensorimotor Correlation Using Printed Synaptic Transistors and Conditioning PCB

Sensorimotor Correlation Using Printed Synaptic Transistors ...

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2022 ieee international conference on Flexible and Printable sensors and systems (FLEPS)

作者： Liu, Fengyuan Baghini, Mahdieh Shojaei Chakraborty, Moupali Christou, Adamos Dahiya, Ravinder Univ Glasgow James Watt Sch Engn Bendable Elect & Sensing Technol BEST Grp Glasgow G12 8QQ Lanark Scotland

ISBN: (纸本)9781665442732

The advances in robotics are often inspired by biological systems, which have attained harmonised functionality and efficiency through billions of years of evolution. Motivated by the nature, this paper presents the realisation of sensorimotor correlation using printed synaptic transistor. While such a concept has drawn increasing attention recently, no report on the adopted technology details has been published. To this end, this paper specifically presents the technical elements for the practical realisation of the concept through printed synaptic transistor and the development of the conditioning printed circuit board (PCB) for operating the as-realised device. This work presents a possible roadmap for the future advancement towards e-Skin with neural-like processing capability through a heterogeneous integration of printed circuits on flexible PCBs.

关键词： Printed electronics sensorimotor correlation distributed computing synaptic transistor electronic skin

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Role of Hardware Accelerator in Wireless Body sensor Network: A review 2

Role of Hardware Accelerator in Wireless Body Sensor Network...

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2nd international conference on Networking, Embedded and Wireless systems, ICNEWS 2024

作者： Jogalekar, Ankita Dattatreya Khanai, Rajashri Bhasme, Madhura V. Mavinkattimath, Swati Lotlekar, Chandani Shivkumar KLE Technological University's Dr. MSSCET Belagavi campus Karnataka590008 India

ISBN: (纸本)9798350367461

Although biomedical sensors, low-power wireless communications, and embedded computing have made great strides recently, they still cannot be integrated into critical care environments without a flexible and robust communications infrastructure. To improve healthcare, wireless communication boards for medical devices must support ad-hoc or fixed networks, naming and detection, security, authentication, and vital signs collection and analysis. Advances in wireless communication technology have enabled sensor nodes to be implanted, worn, and implanted throughout the body. Signals captured by the human body can be processed by these tiny devices. The data is then sent to an appropriate destination, where it can be used for research or other diagnostic purposes. This paper describes wireless body sensor networks, their architecture, and protocol stacks. In addition, we discussed security and privacy issues, speed issues, and improvement in the speed using Hardware Accelerator. © 2024 ieee.

关键词： Digital storage

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Protection Coordination Impact on Reliability of Distribution systems with distributed Energy Resources 3

Protection Coordination Impact on Reliability of Distributio...

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3rd international conference on Power, Control and computing Technologies, ICPC2T 2024

作者： Kumari, Rani Naick, Bhukya K. Dept. of Electrical Engineering Dhanbad India

ISBN: (纸本)9798350349207

The effectiveness and reliability of a power distribution system hinge on the establishment and maintenance of efficient coordination between protective relays. Alongside the prevention of unwarranted overloads, inadequate coordination among relays may lead to an increased likelihood of revealing concealed failures within crucial components of the protection system, like Circuit Breakers. To assess the potential degradation of system reliability due to protection system malfunctions, this study proposes the utilization of a Markov model (MM) in combination with a Monte Carlo simulation (MCS) algorithm. Furthermore, the study also addresses the impact of the protective equipment mis-coordination on the concealed failure of protection systems. Subsequently, using a modified Canadian benchmark distribution system, the study computes the reliability indices of System Average Interruption Duration Index (SAIDI) and Expected Energy Not Supplied (EENS) for three distinct scenarios characterized by varying relay settings and protection coordination. The findings are subsequently presented to demonstrate how miscoordination of protection systems within the distribution network can affect the overall system reliability. © 2024 ieee.

关键词： Electric circuit breakers

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Design of Airborne Intelligent computing System Oriented to Intelligent Task Processing 26

Design of Airborne Intelligent Computing System Oriented to ...

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26th ACIS international Winter conference on Software Engineering, Artificial Intelligence, Networking and Parallel/distributed computing, SNPD-Winter 2023

作者： Bai, Linting Wen, Pengcheng Xie, Jianchun Li, Yunxi Lin, Rongchao School of Computer Science Northwestern Polytechnical University Xi'an Aeronautics Computing Technique Research Institute Avic Xi'an China Xi'an Aeronautics Computing Technique Research Institute Avic Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer Xi'an China Xi'an Aeronautics Computing Technique Research Institute Avic Aeronautics Data and Sensor Business Unit Avic Xi'an China

ISBN: (纸本)9798350345865

The rapid development of artificial intelligence technology promotes the gradual evolution of the 'three integration' of mechanization, informatization and intelligence. The mass data characteristics of airborne mission informatization put forward higher demands on the storage, transmission and management capabilities of airborne data. The characteristics of high complexity, strong confrontation, strong real-time, and uncertainty of airborne intelligent tasks pose more challenges to the intelligent processing of airborne data. This paper analyzes the data characteristics and mission characteristics in the process of airborne intelligence missions, and proposes an airborne intelligent computing architecture for airborne data processing of intelligent missions. The composition and function of each technical layer are expounded, and several problems of airborne intelligent computing technology are analyzed. Finally, the development trend of airborne intelligent technology development is prospected. © 2023 ieee.

关键词： Digital storage

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Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge 8

Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation...

引用

8th ieee international conference on Smart computing (SMARTCOMP)

作者： Hasan, Zahid Dey, Emon Ramamurthy, Sreenivasan Ramasamy Roy, Nirmalya Misra, Archan Univ Maryland Baltimore Cty Dept Informat Syst Ctr Real Time Distributed Sensing & Auton CARDS Mobile Pervas & Sensor Comp Lab Baltimore MD 21228 USA Singapore Management Univ Sch Comp & Informat Syst Singapore Singapore

ISBN: (纸本)9781665481526

In this demo paper, we design and prototype RhythmEdge [1], a low-cost, deep-learning-based contact-less system for regular HR monitoring applications. RhythmEdge benefits over existing approaches by facilitating contact-less nature, real-time/offline operation, inexpensive and available sensing components, and computing devices. Our RhythmEdge system is portable and easily deployable for reliable HR estimation in moderately controlled indoor or outdoor environments. RhythmEdge measures HR via detecting changes in blood volume from facial videos (Remote Photoplethysmography;rPPG) and provides instant assessment using off-the-shelf commercially available resource-constrained edge platforms and video cameras. We demonstrate the scalability, flexibility, and compatibility of the RhythmEdge by deploying it on three resource-constrained platforms of differing architectures (NVIDIA Jetson Nano, Google Coral Development Board, Raspberry Pi) and three heterogeneous cameras of differing sensitivity, resolution, properties (web camera, action camera, and DSLR). RhythmEdge further stores longitudinal cardiovascular information and provides instant notification to the users. We thoroughly test the prototype stability, latency, and feasibility for three edge computing platforms by profiling their runtime, memory, and power usage.

关键词： Heart rate Volume measurement Prototypes Estimation Cameras Ubiquitous computing Real-time systems

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A Multimodal Off- Road Terrain Classification Benchmark for Extraterrestrial Traversability Analysis 12

A Multimodal Off- Road Terrain Classification Benchmark for ...

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12th international conference on Cyber-Enabled distributed computing and Knowledge Discovery (CyberC)

作者： Huang, Huang Yang, Yi Tang, Liang Zhang, Zhang Liu, Nailong Li, Mou Wang, Liang Beijing Inst Control Engn Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China

ISBN: (纸本)9798350331547

A rover in extraterrestrial exploration works in challenging environment featured by primitive landforms and hidden dangerous areas. Due to the far distance from the rover to Earth, it is one of the most crucial capabilities that the rover can recognize and model the terrain properties efficiently and autonomously. In this paper, we present a Multimodal Off-road Terrain Classification (MOTC) dataset which is collected by a four-wheeled rover equipped with ego-centric visual cameras and inertial measurement unit (IMU). The dataset is generated from a boulder-strewn mock- up of the real Mars at the Intelligent Autonomous System Laboratory in Beijing Institute of Control Engineering. 24,982 images and corresponding sensor sequences are collected and annotated into 3 kinds of surface materials and 3 kinds of scene geometries. Based on the MOTC dataset, a baseline model with a multimodal fusion architecture is proposed for terrain classification. The experiment shows that the features extracted from visual images and from IMU complement each other to achieve improvements of terrain classification accuracy of the challenging extraterrestrial surface.

关键词： terrain classification sensor fusion transformer extraterrestrial exploration

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Efficient algorithms for distributed virtual force-based self-spreading of robotic sensor/actuator networks 7

Efficient algorithms for distributed virtual force-based sel...

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7th international conference on Robotics, Control and Automation Engineering, RCAE 2024

作者： Konovalov, P.A. Matveev, A.S. "sirius University" Mathematical Robotics Science Division Krasnodar Region Sirius City Russia Saint Petersburg University Department of Mathematics and Mechanics St. Petersburg Russia

ISBN: (纸本)9798350355642

Node deployment is a key issue in building sensor/actuator networks. To improve coverage and reduce costs, the use of autonomous mobile robotic nodes is an attractive option. This paper presents two new virtual force-based (VFB) distributed self-deployment algorithms for robotic networks. Their performance is compared with the baseline behaviors of five existing cutting-edge VFB methods. This analysis is conducted using a whole lot of standard criteria: elapsed time, coverage percentage, energy consumption, mean distance, and distance uniformity. Also, we propose and use a new criterion that assesses the balance of network's resources allocated to serve various equally valid subareas. Monte-Carlo computer experiments show that the proposed algorithms demonstrate the best performance regarding the coverage uniformity and percentage. © 2024 ieee.

关键词： Multi agent systems

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A Way of Optimization of Wireless sensor Network using TSCH 4

A Way of Optimization of Wireless Sensor Network using TSCH

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4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Aravind, A.R. Prajapati, Manju Arunkumar, E. Kumar, Rakesh Kumar, Himanshu Rao, S. P. V. Subba Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering India M.P Bhopal India Karpagam College of Engineering Department of Electronics and Communication Engineering India Gla University Department of Computer Engineering & Applications Mathura India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh India Sreenidhi Institute of Science and Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350360165

Within ad hoc wireless networks, TimeSynchronized Channel Hop (TSCH) is a potential method for interference-free and collision-free communication, especially in the setting of wireless sensor networks, car networks, and networks containing robots or drones. Even though TSCH and its versions work well, they need centralized planning to keep the time-frequency sliding system in place. This leads to a restricted usage of time-frequency slots and slow convergence, especially when there is node change or movement. Using the idea of pulse-coupled oscillators, the protocol pairs distributed synchronization or desynchronization methods at the MAC layer to coordinate nodes to perform coordinated signal packet broadcasts over all available channels. Afterwards, peer-to-peer swap requests and acknowledgements between ongoing emitter in neighboring channels result in autonomous channel moving. Extensive evaluation against TSCH and the power source Successful It MAC (EM-MAC) protocol suggests that DT-SCS is a strong contender for centralized multi-channel MAC layer coordination due to its quick convergence, which refers strong connectivity, and high bandwidth utilization even in the midst of interference alongside hidden nodes. © 2024 ieee.

关键词： Network layers

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Data Aggregation in Clustered Wireless sensor Networks with Compressive Sensing and Mobile Sink-A Review 2

Data Aggregation in Clustered Wireless Sensor Networks with ...

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2nd international conference on Sustainable computing and Data Communication systems, ICSCDS 2023

作者： Chitra, R. Sudarmani, R. School of Engineering Avinashilingam Institute for Home Science and Higher Education for Women Ece Coimbatore India

ISBN: (纸本)9781665491990

Continuous monitoring applications in real time scenario is in need of Wireless sensor Networks (WSN) which comprises wide range of sensor nodes. The sensing, processing and communication capabilities of sensor nodes are limited due to its limited operational battery power. Data aggregation plays a major role in real time sensor network applications, in which the collected data from sensor nodes would be enormous. Transmitting the aggregated data as such would consume more energy, which leads to reduction in network life time. Hence, energy efficient data gathering technique is proposed by applying compressive sensing to the network for aggregating and sending the data to the sink node. Also, the clustered architecture would prolong the lifetime of networks. In this review article, different data aggregation techniques over WSN is presented under different category which includes the network architecture, compressive sensing techniques, nature of sink etc. Also, the data aggregation methodology is proposed over clustered architecture with compressive sensing and mobile sink to prolong the life time of sensor network. © 2023 ieee.

关键词： Compressed sensing

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