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Virtual sensor design for azimuthal gamma measurement systems 6

Virtual sensor design for azimuthal gamma measurement system...

引用

6th international conference on intelligent Control, Measurement and signal processing, ICMSP 2024

作者： Zhang, Yulin Li, Fei Zhao, Wenxuan Cheng, Huaibiao Zhu, Weihong Qin, Genzhao China Oilfield Services Limited China Logging and Directional Drilling School of Electronic Engineering Directional Drilling Branch CNOOC Key Laboratory of Well Xi'an China

ISBN: (纸本)9798331516550

In response to the validation needs of the directional gamma measurement system, which require going underground or using equipment containing radiation sources, and the difficulty of conducting quantitative and qualitative debugging and verification under laboratory conditions, a virtual sensor designed for the directional gamma measurement system is proposed based on real sensor selection and attitude inversion algorithms. A testing group is also designed to verify whether the output of the virtual sensor meets the requirements. Test results indicate that the virtual sensor exhibits output characteristics consistent with those of the real sensor, enabling quantitative and qualitative validation of the directional gamma measurement system. It can replace the real sensor to assist in system development under laboratory conditions, helping to shorten the R&D cycle and reduce costs. © 2024 ieee.

关键词： Underground equipment

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Radio Sensing with Large intelligent Surface for 6G 48

Radio Sensing with Large Intelligent Surface for 6G

引用

48th ieee international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Vaca-Rubio, Cristian J. Ramirez-Espinosa, Pablo Kansanen, Kimmo Tan, Zheng-Hua Carvalho, Elisabeth De Aalborg University Department of Electronic Systems Aalborg Denmark University of Granada Departament of Signal Theory Telematics and Communications Granada Spain Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781728163277

This paper leverages the potential of Large intelligent Surfaces (LIS) for radio sensing in 6G wireless networks. By taking advantage of arbitrary communication signals occurring in the scenario, we apply direct processing to the output signal from the LIS to obtain a radio map that describes the physical presence of passive devices (scatterers, humans) which act as virtual sources due to the communication signal reflections. We then assess the usage of machine learning and computer vision methods including clustering, template matching and component labeling to extract meaningful information from these radio maps. As an exemplary use case, we evaluate this method for passive multi-human detection in an indoor setting. The results show that the presented method has high application potential as we are able to detect around 98% of humans passively even in quite unfavorable signal-to-Noise Ratio (SNR) conditions. © 2023 ieee.

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Comparative Analysis of Wavelet Transform on fPCG signals for Denoising and Peak Extraction

Comparative Analysis of Wavelet Transform on fPCG Signals fo...

引用

2024 ieee international conference on intelligent signal processing and Effective Communication Technologies, INSPECT 2024

作者： Mhatre, Megh Narayanan, Geetha Deshpande, Anjali Biomedical Engineering Vidyalankar Instiute of Technology Mumbai India Systems and Control Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9798350379525

Fetal Phonocardiogram (fPCG) is a bio-signal obtained from recording the heart sounds from stethoscopes or auditory transducers for auscultations of FHR. Analysis of this data helps to give early diagnosis of any irregularity throughout Fetal development process. However, the analysis of this signal poses many challenges due to noise components like Motion Artifacts and Respiration of the Foetus and Mother, Uterine Contractions, Power Line Interference, Sensor Noise as well as Background Noise. Many approaches have been presented by the researchers to extract characteristic heart sound peaks from these signals to estimate the heart rate and to detect the abnormalities like arrhythmia. In this work, we present the results of application of advanced signal processing techniques such as wavelet transform with adaptive thresholding, to extract the peaks of the fPCG signal. Simulations have been performed on the set of real data from fetus as well as simulated signals available in the resources. Simulation results show that Discrete Wavelet Transform with adaptive thresholding is a better technique for denoising the signal and isolating the heartbeat peaks as compared to other studies discussed in various resources. This study also includes evaluation of various parameters employed in the processes including the verification of peaks by setting up a window of specific time to analyze the peak count within each window for consistent peak extraction results. Various combinations of wavelets with different thresholding techniques have been studied and evaluated for accuracy. © 2024 ieee.

关键词： Mean square error

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Ultra-Rapid Satellite Clock Offset Boundary Jumps Compensation Method Based on Dynamic Adaptive Weighting 2

Ultra-Rapid Satellite Clock Offset Boundary Jumps Compensati...

引用

2nd ieee international conference on signal, Information and Data processing, ICSIDP 2024

作者： Zhao, Lin Wei, Jialong Li, Hui Liu, Xue Harbin Engineering University Collegf of Intelligent Systems Science and Engineering Harbin China

ISBN: (纸本)9798331515669

The traditional ultra-rapid satellite clock offset boundary jumps compensation method based on epoch-differenced suffers from error accumulation, which reduces the accuracy of satellite clock offset. In this paper a new compensation method based on dynamic adaptive weighting is proposed. The method makes full use of ultra-rapid satellite clock offset data from adjacent observation window. Calculate prior weights based on satellite offset dynamic characteristics, obtain satellite posterior residual through batch estimation, and compensate the satellite clock offset boundary jumps. The ultra-rapid satellite clock offset products updated 1-hour provided by WHU from DOY 060-062 in 2024 are used to verify the performance of the proposed method. The results show that, contrasted with the traditional compensation method based on epoch-differenced, the accuracy of the satellite clock offset is improved by 36.2%. In addition, the RMS and STD accuracy of PPP are improved by 13.2% and 26.2% within two hours before and after the observation window boundaries, respectively. © 2024 ieee.

关键词： Atomic clocks

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Simulation and Performance Analysis of Electric Vehicle 3

Simulation and Performance Analysis of Electric Vehicle

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3rd ieee international conference on intelligent Techniques in Control, Optimization and signal processing, INCOS 2024

作者： Dickson, Jean Devaraj, D. Kalasalingam Academy of Research and Education Departmnt of Electrical and Electronics Engineering Tamilnadu Krishnankoil India Kalasalingam Academy of Research and Education Department of Electrical and Electronics Engineering Tamilnadu Krishnankoil India

ISBN: (纸本)9798350361186

Reducing greenhouse gas emissions and pollution in our environment can be achieved with electric automobiles. Electric Vehicle is highly required to replace the impact of IC engines. The goals include enhancing fuel efficiency, cutting emissions, guaranteeing drivability, and preserving the energy storage system's longevity and current state of charge while taking constraints into account. Power train that is driven by fuel cells, batteries, and super capacitors can offer an economical transportation solution. An effective Energy Management System (EMS) is highly required to distribute power across the power train's components by choosing the right operating modes. This article has discussed the electric vehicle's modeling. An optimized model has been created by taking into account real key parameters. This study compares the actual speed of the vehicle with the input drive speed to determine the optimal performance of an electric car. The initial and final charge of the battery is used to compare the energy consumption value of the electric vehicle. Examined has been the impact of many characteristics on the energy consumption and performance of vehicles. © 2024 ieee.

关键词： Energy management systems

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Driving with Deep Learning: A Robust Traffic Sign Detection and Classification System 2

Driving with Deep Learning: A Robust Traffic Sign Detection ...

引用

2nd international conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024

作者： Patel, Harshita Chippa, Ishaan Kumar, Devansh Maske, Vinay Ravindra Satish Bagal, Aakanksha Singh Rajput, Dharmendra School of Information Technology and Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9798350327533

intelligent Transport systems, such as self-driving automobiles, represent a prime example of applications utilizing traffic sign recognition technology. The increasing demand for autonomous vehicles highlights a significant challenge: Their ability to adhere to traffic regulations without human intervention for road safety. As technological advancements pave the way for increased automation, this study addresses the detection and identification of traffic sign boards under varying conditions, including lighting, direction, and diverse weather scenarios. Focusing on scenarios where the traffic sign is the sole object in an image with a minimal background, image processing techniques are employed for traffic sign recognition. Furthermore, the identified and classified sign is associated with its specific geospatial coordinates, using the device's location data, and subsequently stored in a database. This enables tracking of updates or changes to traffic signs along a designated route or area, with original information being replaced or overwritten upon any alteration at a particular location. © 2024 ieee.

关键词： CNN Geospatial coordinates intelligent Transport systems Traffic signal Database

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Closed-Loop Control of High-Pressure Common Rail Fuel Injection Volume Based on Fuel Injection Observer 6

Closed-Loop Control of High-Pressure Common Rail Fuel Inject...

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6th international conference on intelligent Control, Measurement and signal processing, ICMSP 2024

作者： Jing, Zeyu Li, Xiongqin Liu, Bingxin Han, Sheng Fei, Hongzi Wang, Liuping University College of Power and Energy Engineering Harbin Engineering Harbin China RMIT University School of Engineering VIC3000 Australia

ISBN: (纸本)9798331516550

In order to improve the traditional open-loop control of the high-pressure common rail system based on the calibration MAP diagram, a PI closed-loop control system of the injection volume based on the fuel injection observer is proposed and designed. According to the fuel flow law and the rail pressure fluctuation characteristics, a fuel injection volume observer based on rail pressure fluctuation was established. And then a closed-loop PI controller for the fuel injection volume was designed based on the observation of fuel injection volume as feedback. In view of the constrain of the control signal limiting, the structure of PI controller was improved. In addition, in order to ensure the control performance under a wide range of working conditions, the neural network algorithm was applied to predict the controller parameters under multiple working conditions. The performance of the control system was verified by co-simulation. The results show that the error of the observed fuel injection volume is less than 3% compared with the actual value. The designed system can suppress disturbances and successfully achieve closed-loop feedback control of fuel injection volume. © 2024 ieee.

关键词： Closed loop control systems

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Blockchain-based Digital Identity for Secure Authentication of IoT Devices In 5G Networks 3

Blockchain-based Digital Identity for Secure Authentication ...

引用

3rd ieee international conference on intelligent Techniques in Control, Optimization and signal processing, INCOS 2024

作者： Aanandaram, V. Deepalakshmi, P. Kalasalingam Academy of Research and Education Tamilnadu Krishnankovil626126 India

ISBN: (纸本)9798350361186

The growing use of IoT in 5G networks has led to new security concerns, particularly related to the lack of authentication mechanisms. This paper proposes a new way to solve this problem by using blockchain-based digital tokens to identify IoT devices and enable secure communication over 5G networks, etc. Our Digital Identity Authentication using Blockchain (DIA-Be) approach proposed in this paper is to create a unique blockchain- based digital identity for each device. The created digital identities are verified using cryptographic protocols and stored in a tamper- proof decentralized ledger. These digital identities can be used to authenticate devices as they connect to a network, preventing unauthorized access, and allowing secure communication channels to be established. We discuss the benefits of this approach, including improved security, reliability, and deployment, and highlight some of the challenges that must be addressed when implementing this approach. Our plan shows our commitment to improving the security of IoT devices in 5G networks, with the ability to create safe and secure IoT devices that can share communications with each other without a network. © 2024 ieee.

关键词： 5G mobile communication systems

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Enhancing Microgrid Energy Security Through Optimal Power Sharing in Multi-Modal Energy Storage systems 4

Enhancing Microgrid Energy Security Through Optimal Power Sh...

引用

4th international conference on robotics, Electrical and signal processing Techniques, ICREST 2025

作者： Anik, Shaikh Tawhidul Islam Mithil, Md Salman Khan Ahmad, Shameem Hazari, Md. Rifat Islam, Mahmoodul Ahmed, Tofael Parvez, Md. Shahariar Hassan, Mahamudul American International University-Bangladesh Faculty of Engineering Department of Electrical and Electronic Engineering Dhaka1229 Bangladesh Department of Electrical Engineering and Computer Science Rapid CitySD57701 United States Chittagong University of Engineering & Technology Department of Electrical and Electronic Engineering Chattogram4349 Bangladesh American International University-Bangladesh Faculty of Engineering Department of Industrial and Production Engineering Dhaka1229 Bangladesh

ISBN: (纸本)9798331530938

Microgrids (MGs), which combine distributed energy resources (DERs) with energy storage systems (ESS), offer improved energy security, reliability and sustainability by utilizing renewable energy sources for subsequent use. However, single ESS options often face challenges such as short life cycles, low power density etc. More than one ESS can resolve the mentioned issues though it increases complexity and maintaining stability becomes an issue. This paper proposes an effective energy management strategy between two ESS namely battery and supercapacitor to increase energy security in MG. The proposed strategy is designed in such a way that one of the two ESS stays connected all the time to the DC bus to ensure uninterruptable power supply to loads. Due to the use of DC bus, the system complexity decreases as there is no need to control frequency. Two cases were considered to verify the performance of the proposed energy management strategy in Matlab/Simulink. In the first case, during the unavailability of supercapacitor, the battery supplies 50 W to the load in addition to PV whereas supercapacitor supplies 136 W in the absence of battery along with PV. Furthermore, it was shown that the absence of PV has no negative effect in terms of power flow by ESS to meet load demand. © 2025 ieee.

关键词： Energy security Energy Storage systems Microgrid Power sharing Supercapacitor

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Inference of Melt Pool Visual Characteristics in Laser Additive Manufacturing Using Acoustic signal Features and Robotic Motion Data 10

Inference of Melt Pool Visual Characteristics in Laser Addit...

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10th international conference on Control, Automation and Robotic (ICCAR)

作者： Chen, Lequn Chew, Youxiang Feng, Wenhe Moon, Seung Ki Nanyang Technol Univ NTU Adv Remfg & Technol Ctr ARTC Singapore Singapore ASTAR Adv Remfg & Technol Ctr ARTC Singapore Singapore ASTAR Singapore Inst Mfg Technol Singapore Singapore Nanyang Technol Univ NTU Sch Mech & Aerosp Engn MAE Singapore Singapore

ISBN: (纸本)9798350373172;9798350373189

Laser additive manufacturing (LAM) demands robust real-time monitoring to identify defects and ensure product quality. Traditional methods, mainly reliant on coaxial cameras, lacks placement flexibility. Further complexities arise from the inherent variability in melt pool geometries and the high computational demands of image processing, hindering effective real-time monitoring. This research proposes a novel technique to directly infer melt pool visual characteristics in LAM by synergizing acoustic signal features with robotic tool-center-point (TCP) motion data. Acoustic monitoring has shown great promise in tasks typically reliant on vision sensors. In addition, the dynamics of the LAM process and defect occurrences are spatially dependent, primarily due to heat accumulation. By combining acoustic signals with spatial data from robot TCP motion, our method tracks melt pool variations with an R-2 score above 0.7. An ablation study demonstrated that the proposed method outperforms the acoustic-only models. The findings suggest that the integration of a simple microphone sensor with robot motion information emerges as a flexible, cost-effective alternative for capturing dynamic melt pool behavior. It presents new prospects for closed-loop control in the LAM process.

关键词： laser additive manufacturing real-time process monitoring Robot Operating systems acoustic signal processing machine learning

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