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Latency Minimization in Blockchain-Enabled Fog computing Networks: A Novel Byzantine Fault Tolerance Approach 23

Latency Minimization in Blockchain-Enabled Fog Computing Net...

引用

23rd IEEE international conference on High Performance computing and communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Sajo, Assadig Abdelrhman Huang, Xiaoge Saif, Moatssim Chen, Qianbin School of Communication and Information Engineering Chongqing University of Posts and Telecommunications Chongqing400065 China

ISBN: (纸本)9781665494571

Recently, fog computing networks (FCNs) have shown enormous benefits yet suffer from security and privacy issues. Blockchain technology has been introduced as a solution to these issues. Nevertheless, it brought new challenges. In this paper, we propose Smart Byzantine Fault Tolerance (SBFT) algorithm for blockchain-enabled FCNs. The proposed algorithm is designed to overcome the challenges of deploying BFT algorithms into FCNs. Such as high latency, computational cost, and communication overhead. The problem was formulated to achieve low latency for the system by optimizing task computation resource allocation, task partitioning, transmission power control, and blockchain computation resource allocation while ensuring the system's security. Simulation results were conducted to illustrate the effectiveness of the proposed algorithm, which can achieve low latency, computational cost, and communication overhead. © 2021 IEEE.

关键词： Fault tolerance Simulation Fault tolerant systems Power control Partitioning algorithms Blockchains Resource management

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Optimal Error Exponent of Type-Based Distributed Hypothesis Testing over AWGN Channels 59

Optimal Error Exponent of Type-Based Distributed Hypothesis ...

引用

59th Annual Allerton conference on communication, control, and computing, Allerton 2023

作者： Tong, Xinyi Huang, Shao-Lun Tsinghua University Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen International Graduate School Shenzhen518055 China Tsinghua University Tsinghua Shenzhen International Graduate School Shenzhen518055 China

ISBN: (纸本)9798350328141

This paper investigates the distributed hypothesis testing (DHT) problem over AWGN channels, where the distributed nodes are restricted to transmit functions of the empirical distributions of the observed data sequences due to practical computational constraints. The goal of this problem is to design the transmitted signals of the distributed nodes, so that the decision center can make a decision based on the received signals with the maximal decision error exponent. In order to solve this problem, we first propose a mixture coding strategy for each node, which combines the decode-and-forward and amplify-and-forward strategies, and then the achievable error exponent is computed. Moreover, we present a genie-aided approach to prove the converse result, thereby demonstrating the optimality of the achievable error exponent. In summary, our results provide coding guidance for distributed systems, and could be applied to more complicated problems. © 2023 IEEE.

关键词： White noise

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control System for an Automated Electric Street Sweeper Cleaning System 4

Control System for an Automated Electric Street Sweeper Clea...

引用

4th international conference on Electrical, communication and Computer Engineering, ICECCE 2023

作者： Peti, Marijana Milijaš, Robert Stuhne, Dario Vasiljević, Goran Kovačić, Zdenko Mader, Marko Faculty of El. Engineering and Computing University of Zagreb Zagreb Croatia RASCO d.o.o. Kalinovac Croatia

ISBN: (纸本)9798350369694

Keeping streets clean in large urban areas requires a lot of human labor, which is costly, and there is a constant problem - the lack of workers willing to take on this difficult task. In this paper, we describe a control system for an all-electric street sweeper whose goal is to automate the operation of a cleaning rig and allow the vehicle, controlled by a human driver, to follow the curb and adjust the position of the cleaning brushes to compensate for the driver’s deviations from the"ideal" cleaning path. Due to the use of hydraulic actuators, hysteresis controllers were chosen to control the basic functions of the cleaning system (control of the brushes and control of a suction area). A pure pursuit algorithm was used to control the curb following with cleaning rig. The results obtained in a Gazebo simulator showed good responsiveness of the vehicle control system and its readiness for experiments with the recently announced Lynx Charge electric street sweeper from Rasco, Croatia. © 2023 IEEE.

关键词： Adaptive control systems

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Design and Construction of VentilatorSynchronized with Pulseoximeter 14

Design and Construction of VentilatorSynchronized with Pulse...

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14th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2023

作者： Bhagyalakshmi, R. Chaithanya, C.R. Sowmya, B.P. Navya, K.N. Department of Electronics and Communication Engineering Government engineering college Hassan India

COVID-19 has evolved into a global epidemic that is rapidly spreading over the globe. Because this pandemic primarily affects the human respiratory system, an intelligent ventilation device is required to preserve the lives of extremely ill people. Patients who have been affected COVID-19 has evolved into a global epidemic that is rapidly spreading. All throughout the world Because this pandemic primarily affects the human respiratory system, an intelligent ventilation device is required to preserve the lives of seriously affected individuals. In this regard, a mechanical ventilator is built that, without the participation of medical personnel, makes an appropriate decision to deliver artificial breathing for patients with lung disease or respiratory failure based on the measured value of SpO2 and pulse rate at any given time. A ventilator that has been designed will be able to perform artificial respiration in its entirety or in part. To communicate between the pulse oximeter and the ventilator, a serial communication approach is used. The pulse oximeter reads the patient's SpO2 and pulse rate and sends them to Node MCU, which then sends them to Arduino nano. The developed software analyses the patient's changing medical conditions and makes an intelligent decision to produce updated FiO2 and PEEP results for delivery to the patient. © Grenze Scientific Society, 2023.

关键词： COVID-19

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computing Science, communication and Security - 4th international conference, COMS2 2023, Revised Selected Papers

Computing Science, Communication and Security - 4th Internat...

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computing Science, communication and Security - 4th international conference, COMS2 2023, Revised Selected Papers

ISBN: (纸本)9783031405631

The proceedings contain 20 papers. The special focus in this conference is on computing Science, communication and Security. The topics include: A Comparative Study of DWT and DCT Along with AES Techniques for Safety Transmission of Digital Bank Cheque Image;improvement of Network Protocol and Analysis of Security Using Aspect of Cryptography;Gaussian Mixture Model-Based Clustering for Energy Saving in WSN;advancement of Non-coherent Spectrum Sensing Technique in Cognitive Radio Networks - A Simulation-Based Analysis;DEEC Protocol with ACO Based Cluster Head Selection in Wireless Sensor Network;Relational Model and Improvised DSR Assisted Framework for Secure Wireless communication;Power Optimization for Millimeter Wave MIMO System;An Innovative AI Architecture for Detecting the Primary User in the Spectrum;web Browser Forensics: A Comparative Integrated Approach on Artefacts Acquisition, Evidence Collections and Analysis of Google Chrome, Firefox and Brave Browser;Physical Layer Security Optimisation for NOMA Based UAV communication for Optimal Resource Allocation;DBFEH: Design of a Deep-Learning-Based Bioinspired Model to Improve Feature Extraction Capabilities of Healthcare Device Sets;design and Analysis of Wide-Band Planar Antenna Using Meta-material for S-Band Applications;performance Analysis of Smart Antenna in Wireless communication System;low-Light Video Enhancement on a Mobile Device Using Illumination-Reflection Model Based Retinex Envelope;An Efficient Signal Detection Technique for STBC-OFDM in Fast Fading Channel;achieving Accurate Trajectory control While Training Legged Robots Using Machine Learning;Performance Evaluation of VBF, DBR and Modified CARP for Underwater Acoustic Sensor Network;Protecting OT Hosts with Intelligent Model-Based Defense System Against Malware Families.

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Nanotechnology and its Applications: A Review

Nanotechnology and its Applications: A Review

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Abinaya S Selvagopika D J Dhivya Department of Biotechnology Kumaraguru College of Technology Coimbatore India Department of Mathematics Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Nanotechnology is the study and technology development at the atomic, molecular, and macromolecular level that gives rise to the controlled manipulation and research of structures and devices with length scales between 1 to 100 nanometers. The small size, surface flexibility, improved solubility, and multifunctionality of nanoparticles present a broad field of new research possibilities for biologists. Nanomaterials have special physical and chemical characteristics that can be utilized for applications that benefit society. The incorporation of nanotechnology into more extensive systems has yielded innovative solutions for numerous contemporary environmental, medical and industrial problems, including medicine delivery, electronics, smart materials, nanomanufacturing, energy and water, biotechnology, information technology, and national security. This paper discusses on Historical background of Nanotechnology, Nanodevices, Nanomaterials, Applications, Challenges and future perspectives of Nanotechnology

关键词： Nanoparticles Reviews Nanomaterials Nanoscale devices Telecommunication computing Nanobioscience National security Nanostructured materials Nanotechnology Smart materials

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automation in Lab Diagnosis of Smears using Arduino 2

Automation in Lab Diagnosis of Smears using Arduino

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2nd international conference on Sustainable computing and Data communication Systems, ICSCDS 2023

作者： Surendar, V. Pillai, Abhishek Ashok Ashwath Rakhav, K.R. Kirthiga, D. Kavin, V. Kongu Engineering College Department of Electrical and Electronics Engineering Perundurai638 052 India K S Rangasamy College of Technology Department of Chemistry Tiruchengode637 215 India

ISBN: (纸本)9781665491990

Obtaining a diagnostic report takes more time in India. Despite the fact that India has many hospitals, only few hospitals have their own laboratories for diagnosis;the others rely on private laboratories for diagnostic assistance. For a population of around 1.417 billion people, there are only 1 lakh diagnostic laboratories (approx.). With samples arriving on a daily basis and only a few pathologists on hand, a considerable delay will occur in obtaining the results. To overcome this, the proposed idea takes the blood samples and captures the magnified image of the sample and displays on the big screen, to put it simply, it is an embedded design comprising an Arduino UNO (general purpose processor), ESP32CAM (module for capturing image), 5V DC motor, actuator to adjust the position, scan and upload the sample collected. It helps the pathologist to analyze the samples with great focus on the big screen. The design's main objective is to make diagnostic testing more efficient so that treatment/diagnosis for the patient can be expedited because for a patient, every second counts and it also reduces the stress for the pathologist as they do no need to strain their eyes more. An additional add-on is that with the help of image processing we can identify simple diseases from the displayed image, which makes the job easier as the results will be instant. This engineers a winning solution in the medical field and register a new entry in the domain of medicine globally. © 2023 IEEE.

关键词： Diagnosis

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Analysis of Direct Torque control of PMSM with Zero Voltage Vector based Switching Table and implementation in Xilinx System Generator Environment 6

Analysis of Direct Torque Control of PMSM with Zero Voltage ...

引用

6th IEEE international conference on computing, communication and automation, ICCCA 2021

作者： Aravind, H.S. Ashok, S. National Institute of Technology Calicut Dept. of Electrical Engineering Kerala India

ISBN: (纸本)9781665414739

This paper analyzes the influence of zero voltage vector injection in the implementation Direct Torque control(DTC) for Permanent Magnet Synchronous Motors(PMSM). The impact on torque ripples and switching frequencies are particularly focused on. This paper speed and torque control of the PMSM based on a 2 Level switching table incorporating the Zero Voltage vectors to decrease torque ripples while maintaining the dynamic response of the system. Taking percentage torque demand as a criterion, the switching states are switched between non zero voltage vector and zero voltage vector switching tables. This enables the system to keep its dynamic behavior all the while decreasing the torque ripples inherent to DTC implementation. The speed control scheme is setup to test the method in variable speed conditions. A Software in Loop (SIL) verification of the proposed method was performed with Xilinx System Generator in MATLAB environment to test the system in fully loaded conditions. The proposed method resulted in a 14 percent reduction in the torque ripples measured while it resulted in a 25 percent reduction in the average switching frequency. © 2021 IEEE.

关键词： Torque control

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Current loop bandwidth expansion strategy of AC servo motor based on predictive current compensation

Current loop bandwidth expansion strategy of AC servo motor ...

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2nd international conference on Power, communication, computing and Networking Technologies (PCCNT 2024)

作者： Sixian Wu Yangzhong Zhou College of Electrical Engineering and Automation Fuzhou University Fuzhou People's Republic of China

ISBN: (数字)9781837242405

To enhance the current loop bandwidth of the AC servo motor, a current predictive control scheme based on current predictive compensation and a double sampling and double PWM duty cycle update mode is put forward. Firstly, the current prediction mathematical model is constructed by the AC and direct axis voltage equations of the permanent magnet synchronous motor, and the current prediction compensation equation is derived by reducing the motor parameters within the current prediction model. Subsequently, the dand q-axis current prediction evaluation function is designed, and the recursive expression of the motor parameter in the current prediction compensation equation is obtained by aiming at minimizing the evaluation function. Then, a correction factor self-tuning approach is proposed to guarantee the convergence consistency of the motor parameters. Finally, the dual sampling dual PWM duty cycle update mode is employed to shorten the digital sampling delay time. Experimental results demonstrate that the proposed control strategy can efficaciously enhance the current loop bandwidth of the motor.

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Deep Learning Based Soft Sensors in Process Industry and Application

Deep Learning Based Soft Sensors in Process Industry and App...

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international conference on Smart computing & communications (ICSCC)

作者： A M Neethu K K Ajayan Department of Electronics and Communication College of Engineering Trivandrum Trivandrum India

Industries can profit from automation by increasing rate of production and decreasing errors, improving safety and stabilising the manufacturing process. High levels of profitability, dependability and safety come with industrial automation. Machine learning(ML) has a place in the field of industrial automation because it makes it easier to monitor and maintain industrial machines. The pursuit of automating industrial procedures in all currently possible ways is intimately related to rational industrial development. Recent advancements in industrial automation have reduced the cost of hardware and energy use. Soft sensors provide numerous advantages including adaptability and affordability. Due to their accuracy and durability, deep learning(DL) algorithms are well known for the construction of soft sensors in difficult non-linear *** application of soft sensor for industrial automation is presented in this paper i.e, design of a soft sensor based on Deep Neural Network(DNN) for metabolic growth control of bioprocess in industry.

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