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检索条件"机构=Control System and Instrumentation Engineering"

共 229 条记录，以下是11-20 订阅

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Comparing Network RTK and Own RTK Base Station for Lateral Tracking in GNSS-Based Navigation: An Autonomous Golf Cart Study

Comparing Network RTK and Own RTK Base Station for Lateral T...

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International Conference on control, Automation and systems ( ICCAS)

作者： Surayuth Duenkwang Chutimon Ketkarn Sorravee Wanichphol Benjamas Panomruttanarug Department of Department of Control System and Instrumentation Engineering King Mongkut university Technology Thonburi Bangkok Thailand

This study investigates the impact of utilizing a network RTK and our own RTK base station on the lateral tracking performance of a GNSS-based navigation system. The experiment employs an adaptive PID controller and compares the performance of both methods on an autonomous golf cart. The tracking path, composed of straight and curve segments, is manually generated based on the network RTK. The adaptive PID controller, with the gains tuned based on the slope of the path, is used to perform the tracking based on the real-time positioning observed from the network RTK as well as our own RTK base station. The results demonstrate that both network RTK and our own RTK base station achieve acceptable tracking performance, with lateral errors remaining within acceptable limits. Our own RTK base station exhibits slightly lower lateral errors compared to the network RTK, indicating improved tracking accuracy. However, setting up and maintaining our own RTK base station requires a more complex process and additional costs for an extra GNSS receiver. Hence, the choice between the two methods involves a trade-off between enhanced performance and the associated complexities.

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Mathematical Modeling of the Impact of a 5 Day Interim Relaxation at 21 Days in 42 days Lockdown Strategy on COVID-19 Transmission in India 10

Mathematical Modeling of the Impact of a 5 Day Interim Relax...

引用

10th International Conference on Biosignals, Images and instrumentation, ICBSII 2024

作者： Immaculyne, Flavia Bakiyaambikapathy Krishnamurthy, Kamalanand De Britto, Lourduraj Benoi Cresent Schlumberger- Reda Production System Singapore Vel Tech Rangarajan Dr Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Anna University Department of Instrumentation Engineering MIT Campus Chennai India Vector Control Research Centre Indian Council of Medical Research Puducherry India

ISBN: (纸本)9798350350951

As of the first week of May 2020, the COVID-19 pandemic is present in 212 nations globally. Many countries have enforced lockdown measures strategically to slow down the epidemic's spread, with the objective of relieving pressure on healthcare systems. Mathematical modelling serves as a useful tool for the prediction of the future numbers of the infected population and for analyzing the effects of various intervention strategies. In this work, a mathematical model based on ordinary differential equations has been developed for analyzing the impact of an interim relaxation of 5 days at 21 days in a 42 days lockdown period. Results of the simulation demonstrate that the relaxation of 5 days during the 42 days lockdown does not result in any adverse effects if the transmission rate remains the same. However, the model-based analysis suggests that an increase in the transmission rate by a factor of 1.2 times during the relaxation period due to the possible aggregation of the susceptible with the infected, it could shift the growth pattern of infected cases from sub-exponential to exponential. © 2024 IEEE.

关键词： COVID-19

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Online PD Measurement by Detecting the Pulsed Compensating Current in High Voltage Equipment 8

Online PD Measurement by Detecting the Pulsed Compensating C...

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8th International Conference on engineering, Applied Sciences, and Technology, ICEAST 2022

作者： Srinangyam, Chissanupong Pannil, Pittaya Nimsanong, Phethai Chuayin, Chaitawat Thungsook, Kittisak Pattanadech, Norasage School of Engineering King Mongkut's Institute of Technology Ladkrabang Electrical Engineering Dept. Bangkok Thailand School of Engineering King Mongkut's Institute of Technology Ladkrabang Instrumentation and Control Engineering Dept. Bangkok Thailand Power System Operation and Control Section 2 Power System Control Dept. Metropolitan Electricity Authority Bangkok Thailand School of Engineering Rajamangala University of Technology Rattanakosin Electrical Engineering Dept. Bangkok Thailand

ISBN: (数字)9781665459198

ISBN: (纸本)9781665459198

This paper discusses the pulsed compensating current caused by partial discharge (PD) phenomena that flows inside the electrical equipment installed in the power system. Such electrical equipment like to be the capacitive coupler in the partial discharge test circuit. In order to study the pulsed compensating current of the PD measurement, artificial PD source such as corona, surface, and internal was used in this experiment. The electrical equipment like surge arrester combined with HFCT sensor utilized to detect the PD pulse current. Furthermore, this proposed technique has been applied for online PD measurement in substations. It was found that the surge arrester could compensate for the pulse current arising from the PD source. This study will be helpful information for online PD measurement. © 2022 IEEE.

关键词： Partial discharges

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Multi-party secure communication using blockchain over 5G

Multi-party secure communication using blockchain over 5G

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International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023

作者： Archana, K. Kareem, Z.H. Al-Farhani, Liwa H. Bagyalakshmi, K. Jenvi, Ignatia K. Majella Kumar, Ashok Department of Computer Engineering Pimpri Chinchwad College of Engineering and Research Maharashtra Pune India Medical Instrumentation Techniques Engineering Department Al-Mustaqbal University College Babylon Iraq System Analysis Control and Information Processing dep Academy of Engineering RUDN University Moscow Russia Sri Ranganathar Institute of Engineering and Technology Coimbatore India Mathematics Department Saveetha School of Engineering SIMATS Saveetha Nagar Chennai India Department of Computer Science Banasthali Vidyapith Rajasthan Banasthali India

ISBN: (纸本)9781032669663

One of the most critical problems facing the blockchain technology industry right now is how to protect the privacy of users’ data on the blockchain in a way that is both effective and cheap. Based on the Pedersen commitment and the Schnorr protocol, this study comes up with a secure multi-party computing protocol (BPLSM). By making the structure of the protocol and doing formal proof calculations, it has been shown that the protocol can be used in the blockchain network to combine private messages for efficient signing while keeping people’s identities secret. Furthermore, by looking at the nature and security of the protocol, it is also possible to find that the BPLSM protocol on the blockchain has a low cost of computing and a high level of information secrecy. Furthermore, it was found that the BPLSM protocol takes less time to check than the current mainstream BLS signature in a simple multi-party transaction with a fixed number of participants. © 2024 The Author(s).

关键词： Blockchain

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Electric Field Distribution Analysis During the Very Fast Transient Process Based on 3D Full Maxwell Simulation 4th

Electric Field Distribution Analysis During the Very Fast Tr...

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4th International Conference on Power and Electrical engineering, ICPEE 2023

作者： Sun, Qiang Gao, Wensheng Zhang, Ziwei Nie, Hongyu Lu, Guiyou He, Yufeng Qu, Jiaqi Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China Ultra High Voltage Branch State Grid Sichuan Electric Power Company Chengdu China School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China

ISBN: (纸本)9789819716739

Most simulations of electric field distribution during the very fast transient (VFT) process are based on equivalent waveforms, which affects the analysis of the electric field. In this paper, the actual VFT process is simulated based on the 3D full Maxwell finite element method (FEM). The electric field distribution at different points is measured. To investigate the influence of the induced electric field during the VFT process, and whether high amplitude or high steepness is the main factor affecting insulation during the VFT process, the simulation results are compared with the electrostatic simulation results. The results show that the induced electric field caused by the wave process does not play an important part. The electric field distribution is hardly influenced by the induced electric field. Therefore, the threat to insulation caused by VFTO is mainly due to its high amplitude, which leads to a stronger Coulomb electric field. Besides, the wave process only leads to a 6~8% voltage amplitude increase, which is much lower than the amplitude increase due to externally generated low-frequency oscillations. Therefore, the high amplitude of VFTO is mainly caused by low-frequency oscillations, rather than the high-frequency components during the VFT process. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electric fields

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Enhancing Traffic Flow Forecasting with Spatio-Temporal Information: A Case Study on Highway Networks in Belgium 8

Enhancing Traffic Flow Forecasting with Spatio-Temporal Info...

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8th International Conference on instrumentation, control, and Automation, ICA 2023

作者： Fathurrahman, Muhammad Farhan Catteeuw, Arne Gautama, Sidharta Aguirre, Angel L. Joelianto, Endra Sutarto, Herman Y. Ghent University Engineering and Product Design Department of Industrial Systems Ghent Belgium Department of Intelligent System Bandung Indonesia FlandersMake@UGent-Corelab ISyE Lommel Belgium Institut Teknologi Bandung Instrumentation and Control Research Group Faculty of Industrial Technology Bandung Indonesia

ISBN: (纸本)9798350301274

As the number of vehicles continues to increase every year, it is crucial to monitor traffic conditions effectively. Traffic forecasting serves as a valuable method in traffic management to support decision making. This study investigates the impact of utilizing spatio-Temporal data for traffic flow forecasting, as opposed to forecasting each location individually. We compare spatio-Temporal Long Short-Term Memory (LSTM), a machine-learning technique that utilizes spatially correlated sensor data in a network, and compare this to conventional LSTM and Seasonal ARIMA (SARIMA). Experiments have been conducted on counting loop data of a highway network in Belgium. We have investigated the performances of the forecasting model for different prediction horizons. The results show that spatial information improves the performance of the forecasting model and reduces the training time required. Further analysis show that the spatio-Temporal LSTM improves majorities of detectors while the minorities detectors are degraded which imply the importances of network selection. The computational load of the spatio-Temporal LSTM model is minimally impacted by the number of sensors in the network thus making it scalable. The results show that longer prediction horizons degrade the forecasting performance but the impact up to a 12 hour-horizon is not significant. © 2023 IEEE.

关键词： Long short-term memory

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Forecasting the quantity and concentration of flocculant in clarification process for sugarcane industry 18

Forecasting the quantity and concentration of flocculant in ...

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18th International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Chantaruk, Singhadid Koolpiruck, Diew Chongstitvatana, Prahhas Chulalongkorn University Computer Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Control System and Instrumentation Engineering Bangkok Thailand

ISBN: (纸本)9780738111278

The clarification process is an important part of sugarcane production. This process is used for separating sediment and sugarcane juice by adding flocculant. The addition of quantity and concentration of flocculant directly affects the settling rate and turbidity of sugarcane juice. This paper proposes a model for forecasting quantity and concentration of flocculant by using Long Short-Term Memory (LSTM) Neural Network. Input data consists of green cane, burn cane, turbidity, and rainfall. Output data includes quantity and concentration of flocculant. Raw data was collected from top sugarcane factory and meteorological department in Thailand. The results are the forecast of the quantity and concentration of flocculant for one day in advance. The performance of LSTM is compared to the autoregressive integrated moving average (ARIMA), recurrent neural network (RNN), and gated recurrent unit (GRU) using root mean square error and mean absolute percent error. The result indicates that LSTM has the best performance. The forecast helps the operator in clarification process to prepare the flocculant. © 2021 IEEE.

关键词： Forecasting

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An INS Fault Diagnosis Method Based on State Chi-Square Test and Optimized GA-BP Neural Network

An INS Fault Diagnosis Method Based on State Chi-Square Test...

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International Conference on Guidance, Navigation and control, ICGNC 2020

作者： Ji, Yinglin Wu, Falin Zhang, Yachong Liu, Yushuang Zhang, Zhidong SNARS Laboratory School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China Xi’an Flight Automatic Control Research Institute Xi’an710076 China Beijing System Design Institute of Electro-mechanic Engineering Beijing100854 China

ISBN: (纸本)9789811581540

The failure of the INS will directly lead to navigation errors in an INS/GNSS integrated system. This paper presents an INS fault detection and diagnosis method using state Chi-square test (SCST)and optimized genetic algorithm and Back-Propagation neural network(GA-BP). Firstly, SCST is used to detect fault and the results of SCST is extracted as the feature data of fault diagnosis. Secondly, the selection strategy and calculation method of crossover and mutation probability are optimized to improve the performance of genetic algorithm. Then the optimized genetic algorithm is used for global search to optimally acquire the initial weight and the threshold of the BP neural network. Finally, two optimized GA-BP neural networks are applied to locate the fault and obtain the magnitude and type. The results of the simulation demonstrate that the method is able to diagnose the fault location, magnitude and type with high accuracy. © 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Inertial navigation systems

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Optimization of Electrode Design in Capacitance Liquid Level Sensor 6

Optimization of Electrode Design in Capacitance Liquid Level...

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6th International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2021

作者： Hanni, Jayalaxmi Rajesh Santhosh, V.K. Manipal Institute of Technology Manipal Academy of Higher Education Centre for Cyber Physical System Department of Instrumentation and Control Engineering India

ISBN: (纸本)9781665435598

Capacitance Level Sensor (CLS) is used to measure liquid level in many of the process industries. The main objective of the work is to optimize a design of novel helical electrode of CLS, in order to enhance the sensitivity and reduce the time response of sensor. The main effecting parameters of the design are considered to be pitch and radius of inner electrode of CLS. These parameters are directly affected on sensor output and time response. If the pitch is considered to be zero, then the helical sensor acts as a cylindrical CLS exhibiting higher response time and higher capacitance output. And if the pitch is considered to be infinity (66 cm in our case) then helical CLS acts as parallel plate CLS exhibiting lower capacitance output and lower time response. Hence the pitch and radius of inner electrode are optimized using Taguchi optimization method. Results showed that pitch of 2.64 cm and 1.08 cm radius of inner electrode gives maximum capacitance output and lower time response as related to that of existing CLS. © 2021 IEEE.

关键词： Capacitance

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An Intelligent Robot Assisting Medical Practitioners to Aid Potential Covid-19 Patients 6

An Intelligent Robot Assisting Medical Practitioners to Aid ...

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6th International Conference on Image Information Processing, ICIIP 2021

作者： Sowrabh, S. Rameshkumar, Ashith Athira, P.V. Jishnu, T.B. Anish, M.N. UPES MTech in Robotics and Automation School of Engineering Dehradun India NSSCE Bachelor of Technology in Instrumentation Control Engineering Department Palakkad India Assistant System Engineer-trainee TCS Limited Kochi India NSSCE Instrumentation Control Engineering Department Palakkad India

ISBN: (纸本)9781665433617

The purpose of this paper is to develop a robot-nurse capable of assisting human health professionals in a COVID-19 isolation unit such that health care professionals may discontinue wearing the personal protective kit that they previously wore when dealing with patients at isolation units. The robot can perform most of the tasks carried out by human nurses in a hospital. It can take a patient's temperature without touching them, administer medicines at the appropriate time, assist in sanitizing the individual and their hands, and offer a section for sterilizing medical equipment. [14] © 2021 IEEE.

关键词： Nursing

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