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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

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A lightweight distributed processing computer system 3

A lightweight distributed processing computer system

引用

3rd ieee international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Xu, Zhenpeng Li, Weiwei Yin, Jinyong Automation Research Institute Department of Computer Jiangsu Lianyungang China

ISBN: (纸本)9798350398410

For the needs of real-time parallel processing of critical task and real-time state control in muti-node computing system, a lightweight distributed processing computer mechanism is designed for iterative computing type tasks based on theoretical techniques such as memory computing and distributed computing. Using the feature of distributed collaborative processing, the data is deployed to different nodes to reduce the burden of each node and. To support continuous computational iterations, temporary data for each computation is temporarily stored in memory to reduce the disk IO access time during the iteration. Before the start of the whole task, the transformation relationship between the saved data is defined by generating the run plan graph of this task. In addition to load balancing of processing nodes, a balanced scheduling mechanism of control nodes is introduced to monitor the operation status of each node in real time through load balancing and control the deployment of computation tasks. Tests show that the designed lightweight computing mechanism outperforms the traditional distributed computing mechanism. In addition, the performance outperforms the mainstream memory-based distributed computing mechanism when carrying multiple tasks. © 2023 ieee.

关键词： Edge computing

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Proceedings of the 3rd ieee international conference on Micro/Nano sensors for AI, Healthcare and Robotics, NSENS 2024

Proceedings of the 3rd IEEE International Conference on Micr...

引用

3rd ieee international conference on Micro/Nano sensors for AI, Healthcare and Robotics, NSENS 2024

ISBN: (纸本)9798350375213

The proceedings contain 27 papers. The topics discussed include: high performance conductive composite hydrogel interface for epidermal electrophysiological monitoring;implementation of Kirigami design in flexible wearable electronic by laser cutting for conformability;cuffless continuous BP monitoring from photoplethysmography signals using UNET and attention mechanism;composite graphene/Cu pressure sensor with one-step laser-fabricated microstructure: a one stone two birds strategy;an active interface pressure adapter for enhancing sensing capacity and stability of wearable electronics;3D porous stacked organic electrochemical transistor for wearable glucose sensing: enhancing comfort, breathability, and real-time monitoring;tracking of dual gas concentration using carbon nanotubes based reservoir computing;and a novel fluid classification unit based on moisture electricity generation mechanism.

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Smart sensor for Online Vibration Monitoring of Hydropower Dam Based on Butterfly MEMS Accelerometer 3

Smart Sensor for Online Vibration Monitoring of Hydropower D...

引用

3rd international Symposium on sensor Technology and Control, ISSTC 2024

作者： Sun, Yingqi Zhang, Han Yao, Mengdi Wang, Yining Qian, Weiwei NARI Group Corporation State Grid Electric Power Research Institute Nanjing China China Three Gorges Corporation Wuhan China China Three Gorges Construction Engineering Corporation Wuhan China Hunan eNavigate Tech. Co. Ltd Changsha China

ISBN: (纸本)9798331541637

Aiming at the increasing demand for smart sensor in online vibration monitoring of hydropower dam, a smart sensor is developed using MEMS sensing technology and distributed networking technology. Equipped with a high performance Cortex-A55 SOC and a low power Cortex-M3 MCU, the smart sensor adopts a novel software and hardware architecture to achieve real-time vibration monitoring and edge computing. In order to achieve self-identification, self-description, and interoperability of the smart sensor, a tailored IEC61850 communication model is used. The vibration of the hydropower dam is sensed by three single axis butterfly MEMS accelerometers inside the smart sensor. Experiments were undertaken to verify the performance of the smart sensor within the range of 0.5 Hz to 50 Hz. A sensitivity amplitude linearity of 3 % and sensitivity frequency response of 5% is achieved. © 2024 ieee.

关键词： Dams

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distributed recursive filter for 2-D Markov jump systems with stochastic communication protocol and nonlinearities 3

Distributed recursive filter for 2-D Markov jump systems wit...

引用

3rd conference on Fully Actuated System Theory and Applications (FASTA)

作者： Gel, Fengying Han, Chunyan Univ Jinan Sch Elect Engn Jinan 250022 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

This paper investigates the distributed filtering for a class of two-dimensional Markov jump parameter systems with communication protocols and nonlinearity. The system is described by the FM-II model and the random communication protocol is characterized by a set of mutually uncorrelated random processes with known probability distributions, which determines the transmission order of each sensor data. The objective is to develop a recursive distributed filter for the two-dimensional systems. Firstly, an upper bound of the local estimation error variance is established through the mathematical induction method and the stochastic analysis approach. Then, by the complete mean square method, the filter gains are derived by optimizing the upper bound of the estimation error variance. Subsequently, a distributed filter based on covariance intersection (CI) fusion algorithm is developed, which exhibits higher accuracy and reliability. Finally, a numerical example is provided to demonstrate that the fusion estimator exhibits higher estimation accuracy compared to the local one.

关键词： CI fusion estimation Markov jump linear system two-dimensional system stochastic nonlinearity Riccati equation

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Design and Deployment of Wireless sensor Network 3

Design and Deployment of Wireless Sensor Network

引用

3rd international conference on Communication, Control, and Intelligent systems, CCIS 2024

作者： Mahajan, Rupali Priyadarshini, Rashmi Singh, Ajeet and Research Scholar Sset Department of Ece Greater Noida India Sharda University Department of Eece Greater Noida India and Research Scholar Iiitm Department of Ece Gwalior India

ISBN: (纸本)9798331528201

sensor nodes, which are tiny, geographically dispersed devices that monitor and record physical or environmental parameters like temperature, pressure, humidity, noise, tremor or pollutants, make up Wireless sensor Networks (WSNs). The information collected by these sensors is subsequently sent, usually wirelessly, to a base station or central point. Wireless sensor Networks (WSNs), which offer early warnings and real-time monitoring, are essential for disaster detection and management. Disasters are sudden, catastrophic events that cause significant destruction, often resulting in substantial human, economic and environmental losses. Disasters can be natural like earthquake, floods;or man-made like pollution and fires, and they typically require urgent and coordinated responses to mitigate their impact and aid recovery. This paper discusses design of sensor node using temperature and relative humidity sensor, DHT22 and air quality monitoring sensor, MQ135. Four such sensor nodes are deployed at the fire prone locations in the college. Floor plan of sensor node deployment is also provided in the paper. The sensor node readings are monitored on cloud monitoring system. Thus, the wireless sensor network is designed using minimum number of sensors, in cost efficient way and fire information is obtained at the base station with minimum delay. © 2024 ieee.

关键词： Air quality

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Smart-Hop: Low-Latency Multi-hop Networking for LoRa 18

Smart-Hop: Low-Latency Multi-hop Networking for LoRa

引用

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

作者： Ahmar, Absar-Ul-Haque Joosen, Wouter Hughes, Danny Katholieke Univ Leuven Comp Sci Imec DistriNet Leuven Belgium

ISBN: (纸本)9781665495127

Low Power Wide Area Networks (LPWANs) provide the Internet of Things (IoT) with energy-efficient, low cost, and long-range networking. LoRaWAN is one of the most widely deployed and studied LPWAN technologies due to its license-free operation and open standard, which has enabled 3rd parties to deploy millions of networks worldwide. LoRa allows transmission range and speed to be traded off by configuring the Spreading Factor (SF) setting. By tuning this parameter, the performance envelope of the network can be configured to favor a higher speed or longer range. While the SF of LoRA provides a simple and elegant means to tailor performance, at the highest spreading factor, maximum throughput drops to a few bits per second, dramatically increasing data extraction times. In this paper, we address this problem by proposing Smart-Hop, a novel multi-hop MAC layer protocol for LoRa which implements low-overhead routing. In contrast to prior work, Smart-Hop exploits the variable range afforded by different SFs to eliminate much of the complexity and overhead of traditional multi-hop mesh networking. Smart-Hop reduces the number of end-devices operating at high SFs while implementing low overhead routing in order to reduce data extraction times. These improvements are achieved while preserving the maximum range offered by LoRa in its highest SF configuration.

关键词： Low Power Wide Area Networks (LPWAN) LoRa Spreading Factor (SF) allocation Wireless sensor Networks (WSN) mesh networking.

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3D Reconstruction Technology of Urban Buildings Based on Computer Vision and Point Cloud Data 3

3D Reconstruction Technology of Urban Buildings Based on Com...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Luo, Dongyan Guangdong Innovative Technical College Guangdong Dongguan China

ISBN: (纸本)9798350318609

Under the background of rapid development of geographic information system (GIS) technology, how to effectively describe and process all kinds of three-dimensional information in urban space has become an urgent problem to be solved. This paper focuses on the construction of urban 3D modelling system. The point cloud data obtained by laser scanning or photogrammetry can provide accurate spatial information of urban buildings, including the shape, size, location and structure of buildings, etc. Using these point cloud data, the key technologies such as the fully automated extraction of digital elevation model, the representation of architectural model, and the reconstruction of urban 3D geomorphology are investigated. A large number of experiments are carried out to verify the proposed theory and method. The experimental results show that the average deviation of the models for window 1, billboard, door, floor corner and window 2 is 6.2mm, which is much lower than that of BIM (building information modelling) technology and computer vision and point cloud data. © 2024 ieee.

关键词： Computer vision

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Analysis of Lung Cells with a Novel Segmentation Methodology Using FCN and Deeplab V3 3

Analysis of Lung Cells with a Novel Segmentation Methodology...

引用

3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Ramya, J. Poongodi, A. Vels Institute Of Science Technology And Advanced Studies Department Of Computer Sciences Chennai India

ISBN: (数字)9798350318609

ISBN: (纸本)9798350318609

One of the primary causes of death globally, cancer is estimated to have affected more people in less developed nations than in more developed ones throughout time in terms of both cases and mortality. The unchecked growth of abnormal cells that begins in one or both of the lungs is known as lung cancer. The tumors impede the lungs' capacity to provide oxygen to the circulation as they enlarge. Medical images are analyzed using image processing, machine learning, and other technologies to help in early illness identification and treatment. When it comes to diseases like cancer, time is of the essence and should be investigated as soon as feasible. To diagnose lung cancer, we suggested a novel hybrid segmentation technique in this work. Using a fully convolutional network (FCN) and DeeplabV3,we were able to separate lung cancer cells hybridly. According to the findings, our approach performs well and is very accurate when compared to other currently used approaches. The proposed hybrid FCN with the Deeplabv3 model segments the input lung image with foreground and background with 93% and 97% of accuracy. And also shows 86% of IOU and 93% of the score showing the system performs well in the lung cancer segmentation process. © 2024 ieee.

关键词： Median filters

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Optimal scheduling considering demand response based on multi-energy complementary distributed integrated energy management system 3

Optimal scheduling considering demand response based on mult...

引用

3rd international conference on Energy and Electrical Power systems (ICEEPS)

作者： Wang, Yuanwei Gaon, Qingzhong Shenyang Inst Engn Grad Dept Shenyang Peoples R China Shenyang Inst Engn New Energy Coll Shenyang Peoples R China

ISBN: (纸本)9798350375145;9798350375138

In this paper, the load characteristics, load demand elasticity & influence of time-of-use electricity charge on load characteristics of multi-vitality complementary distributed integrated energy management system are studied. Through the modeling and simulation analysis of the time-of-use electricity price optimization of the distribution network, combined with the time-of-use electricity price elasticity of the power demand, the time-of-use electricity price optimization model of the distribution network is established & particle swarm optimization algorithm is used to solve the optimization model. Finally, the influence of time-of-use electricity price on the load characteristics of multi-energy complementary distributed integrated energy management system is obtained. The results show that the demand response method proposed in this paper can change the load characteristics, reduce the peak-valley difference, improve the efficiency of power production, improve the reliability of power grid operation, and reduce greenhouse gas emissions.

关键词： demand response time-of-use tariffs multi-energy complementarity flexible loads distributed energy resources

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Automated Cybersecurity Attack Detection Using Prairie Dog Optimization and Multilayer Perceptron in Healthcare System 3

Automated Cybersecurity Attack Detection Using Prairie Dog O...

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3rd ieee international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pillai, Sanjaikanth E. Vadakkethil Somanathan Poddar, Sanjay Susanta Nagendar, Y. Pareek, Piyush Kumar Zanke, Pankaj School Of Electrical Engineering And Computer Science University Of North Dakota Grand Forks United States Fortinet Ltd DallasTX United States School Of Computer Science And Engineering Sr University Telangana Warangal India Nitte Meenakshi Institute Of Technology Department Of Aiml And Ipr Cell Bengaluru India Sapiens International Corporation United States

ISBN: (纸本)9798350318609

Internet of Things (IoT) technologies have become an inevitable part of our lives with many innovations and conveniences in many fields such as education, healthcare, social life and security. While healthcare network complexity and connectivity are developing in a superior manner at the same time, cyber-attack surfaces and vulnerabilities are also increasing dramatically. Harming people either physically or digitally are some of the threat to the health and life of patients through data breaches across multiple departments of health systems. In this research, the prairie dog optimization (PDO) algorithm and multilayer perceptron (MLP) is proposed cyber-attack detection model. The proposed approach was performed the several IoMT cybersecurity datasets using Intensive Care Unit (ICU Dataset), Washington University in St. Louis enhanced healthcare monitoring system (WUSTL-EHMS) datasets, Edith Cowan University- Internet of Health Things (ECU-IoHT), and TON-IoT. PDO is used for selecting the optimal features from the attained dataset, MLP parameters is performed by hyperparameter optimization as well as 10-fold cross-validation technique for performance assessment. The proposed method has the potential to counter cyber-attacks in healthcare applications, it attained higher precision at 99.54%, accuracy of 99.45%, recall 99.56% and f1-score 99.46% in ECU-IoHT dataset. © 2024 ieee.

关键词： Internet of things

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