Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012019
Xiao Hu, Shenfu Pan, Dongdong Li, Long Feng, Yuan Zhao
Abstract In recent years, with the development of sensors, communication networks, and deep learning, drones have been widely used in the field of object detection, tracking, and positioning. However, there are inefficient task execution and some complex algorithms still need to rely on large servers, which is intolerable in rescue and traffic scheduling tasks. Designing fast algorithms that can run on the airborne computer can effectively solve the problem. In this paper, an object detection and location system for drones is proposed. We combine the improved object detection algorithm ST-YOLO based on YOLOX and Swin Transformer with the visual positioning algorithm and deploy it on the airborne end by using TensorRT to realize the detection and location of objects during the flight of the drone. Field experiments show that the established system and algorithm are effective.
{"title":"An airborne object detection and location system based on deep inference","authors":"Xiao Hu, Shenfu Pan, Dongdong Li, Long Feng, Yuan Zhao","doi":"10.1088/1742-6596/2632/1/012019","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012019","url":null,"abstract":"Abstract In recent years, with the development of sensors, communication networks, and deep learning, drones have been widely used in the field of object detection, tracking, and positioning. However, there are inefficient task execution and some complex algorithms still need to rely on large servers, which is intolerable in rescue and traffic scheduling tasks. Designing fast algorithms that can run on the airborne computer can effectively solve the problem. In this paper, an object detection and location system for drones is proposed. We combine the improved object detection algorithm ST-YOLO based on YOLOX and Swin Transformer with the visual positioning algorithm and deploy it on the airborne end by using TensorRT to realize the detection and location of objects during the flight of the drone. Field experiments show that the established system and algorithm are effective.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"93 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2645/1/012017
None XinWang, Qi Chao Yang, Hai tao Wang, Yu Zheng, Geng hang Zhong, Jiang wei Zhao
Abstract Two-dimensional sulfide has been widely recognized as a promising new type of catalyst to replace precious metals due to its adjustable electronic structure, low cost, and high stability. In this paper, monolayer molybdenum disulfide (MoS 2 ) and layer-controlled tungsten disulfide (WS 2 ) were successfully prepared by chemical vapor deposition (CVD). The two prepared materials’ morphology, structure, and thickness were investigated. The catalytic performance of two-dimensional sulfides was studied under an acidic environment. The results exhibit good catalytic performance toward hydrogen evolution with 63.6 mV/dec low Tafel slope of MoS 2 and 72.8 mV/dec of WS 2 .
{"title":"Reaction Controllable preparation and electrocatalytic performance of two-dimensional sulfides","authors":"None XinWang, Qi Chao Yang, Hai tao Wang, Yu Zheng, Geng hang Zhong, Jiang wei Zhao","doi":"10.1088/1742-6596/2645/1/012017","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012017","url":null,"abstract":"Abstract Two-dimensional sulfide has been widely recognized as a promising new type of catalyst to replace precious metals due to its adjustable electronic structure, low cost, and high stability. In this paper, monolayer molybdenum disulfide (MoS 2 ) and layer-controlled tungsten disulfide (WS 2 ) were successfully prepared by chemical vapor deposition (CVD). The two prepared materials’ morphology, structure, and thickness were investigated. The catalytic performance of two-dimensional sulfides was studied under an acidic environment. The results exhibit good catalytic performance toward hydrogen evolution with 63.6 mV/dec low Tafel slope of MoS 2 and 72.8 mV/dec of WS 2 .","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract With the progress of science and technology, chip integration and packaging density continue to improve, and the power density increases rapidly, leading to the increasingly prominent problem of chip heat dissipation. The service environment of industrial chips with a wide temperature range is even worse, so it is necessary to ensure reliable operation in the environment of −40°C~85°C. The thermal design and thermal management of packaging have become an important problem in the industry. Based on the wide temperature range of high-power WB-BGA industrial chips, aiming at the difficulty of chip heat dissipation in the high-temperature environment of 85°C, this paper studies and optimizes the packaging heat dissipation, and proposes a high heat dissipation packaging design scheme based on the wide temperature-range high-power WB-BGA industrial chip, which reduces the chip junction temperature by 17.9°C and has a certain reference value for the packaging design of wide temperature range industrial chip.
{"title":"Optimization of Package Heat Dissipation Design Based on High-power WB-BGA Industrial Chip with a Wide Temperature Range","authors":"Shihua Duan, Dejian Li, Yuan Guan, Bofu Li, Dameng Li, Baobin Yang, Shunfeng Han","doi":"10.1088/1742-6596/2645/1/012003","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012003","url":null,"abstract":"Abstract With the progress of science and technology, chip integration and packaging density continue to improve, and the power density increases rapidly, leading to the increasingly prominent problem of chip heat dissipation. The service environment of industrial chips with a wide temperature range is even worse, so it is necessary to ensure reliable operation in the environment of −40°C~85°C. The thermal design and thermal management of packaging have become an important problem in the industry. Based on the wide temperature range of high-power WB-BGA industrial chips, aiming at the difficulty of chip heat dissipation in the high-temperature environment of 85°C, this paper studies and optimizes the packaging heat dissipation, and proposes a high heat dissipation packaging design scheme based on the wide temperature-range high-power WB-BGA industrial chip, which reduces the chip junction temperature by 17.9°C and has a certain reference value for the packaging design of wide temperature range industrial chip.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"91 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012032
Yuhao Pu, Chao Bei
Abstract This paper presented a robust angle-only guidance and navigation algorithm for asteroid defense missions based on meta-reinforcement learning. A recurrent neural network, trained via proximal policy optimization, is used to map the line-of-sight angles captured in real-time by the onboard camera to the optimal thrust. The neural network effectively replaces the roles of the navigation and guidance system while simultaneously removing the dependence on dynamic and observation models. The guidance and navigation model is tested on numerical simulations of a simulated mission directed to asteroid Bennu. The objective is to enable the spacecraft to hit the asteroid precisely, despite the presence of scattered initial conditions, uncertain model parameters, thruster control error, and attitude control and measurement error.
{"title":"Angle-only Autonomous Terminal Guidance and Navigation Algorithm for Asteroid Defense based on Meta-reinforcement Learning","authors":"Yuhao Pu, Chao Bei","doi":"10.1088/1742-6596/2632/1/012032","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012032","url":null,"abstract":"Abstract This paper presented a robust angle-only guidance and navigation algorithm for asteroid defense missions based on meta-reinforcement learning. A recurrent neural network, trained via proximal policy optimization, is used to map the line-of-sight angles captured in real-time by the onboard camera to the optimal thrust. The neural network effectively replaces the roles of the navigation and guidance system while simultaneously removing the dependence on dynamic and observation models. The guidance and navigation model is tested on numerical simulations of a simulated mission directed to asteroid Bennu. The objective is to enable the spacecraft to hit the asteroid precisely, despite the presence of scattered initial conditions, uncertain model parameters, thruster control error, and attitude control and measurement error.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"90 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2636/1/012050
Changcheng Song, Zhaojun Lu, Wen Zhang, Ao Guo
Abstract Considering the application of biomass energy, the Biomass Integrated Energy System (BIES) was first constructed. An integrated energy system operation optimization model was proposed with the objective functions of minimizing economic costs and maximizing clean energy utilization. Secondly, according to the characteristics of biomass Cogeneration, the scheme of adjusting the ratio of heat and power is proposed. Finally, a simulation analysis was conducted on a certain region in China. The results indicate that utilizing biomass energy in an integrated energy system can greatly reduce operating costs and improve energy utilization efficiency. After the heat-to-power ratio is adjusted, economic costs can be reduced again by 7.66%, and clean energy utilization can be increased by 6.15%.
{"title":"Operation Optimization of Biomass Integrated Energy System Based on Adjustable Heat-to-Electric Ratio","authors":"Changcheng Song, Zhaojun Lu, Wen Zhang, Ao Guo","doi":"10.1088/1742-6596/2636/1/012050","DOIUrl":"https://doi.org/10.1088/1742-6596/2636/1/012050","url":null,"abstract":"Abstract Considering the application of biomass energy, the Biomass Integrated Energy System (BIES) was first constructed. An integrated energy system operation optimization model was proposed with the objective functions of minimizing economic costs and maximizing clean energy utilization. Secondly, according to the characteristics of biomass Cogeneration, the scheme of adjusting the ratio of heat and power is proposed. Finally, a simulation analysis was conducted on a certain region in China. The results indicate that utilizing biomass energy in an integrated energy system can greatly reduce operating costs and improve energy utilization efficiency. After the heat-to-power ratio is adjusted, economic costs can be reduced again by 7.66%, and clean energy utilization can be increased by 6.15%.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"21 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2623/1/012022
R Ramadani, S A Khairunisa, M Khoiro
Abstract Optical communication networks are vital in the digital era, but data transmission becomes weak the longer the distance traveled by light. Erbium-Doped Fiber Amplifier (EDFA) technology is commonly used as an optical amplifier, but it still produces a small gain, Q-factor, and a significant noise figure. This study characterized the Hybrid Optical Amplifier (HOA) combinations that contain EDFA with various doped fibers. The characterization was performed through Optisystem software simulation by observing and analyzing the gain, noise of figure, and Q-factor generated by each doped fiber variant. The results showed that the combination of Ytterbium-doped Fiber produced the most significant gain of 15.83 dB, less noise figure of 5,661 dB, and a relatively high Q-factor of 35,615 at 1,550 nm. It indicates that the HOA combination is suitable and ideal for long-distance transmission in fiber optic communication network applications.
{"title":"Characteristics Analysis of Hybrid Optical Amplifier with Doped Fiber Variations for Fiber Optic Communications Network","authors":"R Ramadani, S A Khairunisa, M Khoiro","doi":"10.1088/1742-6596/2623/1/012022","DOIUrl":"https://doi.org/10.1088/1742-6596/2623/1/012022","url":null,"abstract":"Abstract Optical communication networks are vital in the digital era, but data transmission becomes weak the longer the distance traveled by light. Erbium-Doped Fiber Amplifier (EDFA) technology is commonly used as an optical amplifier, but it still produces a small gain, Q-factor, and a significant noise figure. This study characterized the Hybrid Optical Amplifier (HOA) combinations that contain EDFA with various doped fibers. The characterization was performed through Optisystem software simulation by observing and analyzing the gain, noise of figure, and Q-factor generated by each doped fiber variant. The results showed that the combination of Ytterbium-doped Fiber produced the most significant gain of 15.83 dB, less noise figure of 5,661 dB, and a relatively high Q-factor of 35,615 at 1,550 nm. It indicates that the HOA combination is suitable and ideal for long-distance transmission in fiber optic communication network applications.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"28 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135763772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012036
Daixing Lu, Yang Zhang, Junjie Lu
Abstract Hydraulic cylinder replacement robot as a new type of engineering machinery has been increasingly used, but its end effector encounters vibrations in the process of clamping the object, so the accuracy of disassembling and assembling the cylinder will be reduced, thus reducing the replacement efficiency and affecting the user’s experience. To address this problem, virtual prototyping technology is used to study the cylinder disassembly process under real working conditions. We use the 3D modeling software Solidworks to construct a model of the cylinder replacement robot. After that, kinematic analysis of the model is carried out, then a dynamics model is built in multi-body dynamics simulation software ADAMS to simulate the process of the robot grasping the object, as a consequence, the trajectory of the end effector is calculated. A controlled dynamic model is established with Simulink and Adams by using the co-simulation technique, and optimization is carried out by using the model. Results show that the optimized control parameter can effectively reduce the end effector vibration and improve the stability and accuracy of the work.
{"title":"Vibration Reduction of Robot End Effector Based on Co-simulation Method","authors":"Daixing Lu, Yang Zhang, Junjie Lu","doi":"10.1088/1742-6596/2632/1/012036","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012036","url":null,"abstract":"Abstract Hydraulic cylinder replacement robot as a new type of engineering machinery has been increasingly used, but its end effector encounters vibrations in the process of clamping the object, so the accuracy of disassembling and assembling the cylinder will be reduced, thus reducing the replacement efficiency and affecting the user’s experience. To address this problem, virtual prototyping technology is used to study the cylinder disassembly process under real working conditions. We use the 3D modeling software Solidworks to construct a model of the cylinder replacement robot. After that, kinematic analysis of the model is carried out, then a dynamics model is built in multi-body dynamics simulation software ADAMS to simulate the process of the robot grasping the object, as a consequence, the trajectory of the end effector is calculated. A controlled dynamic model is established with Simulink and Adams by using the co-simulation technique, and optimization is carried out by using the model. Results show that the optimized control parameter can effectively reduce the end effector vibration and improve the stability and accuracy of the work.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"83 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135716626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012017
Yulin Liu, Xiaolu Liu, Chunguang Lu, Lei Song, Guoyu Cui, Haifeng Qian, Nick Nianxiong Tan
Abstract The intelligent vehicle designed in this paper can realize functions, such as safety detection, visual identification, remote control and manipulator grasping, and so on. Arduino MEGA is used as the main control board to send signal messages to drive vehicles. Wi-Fi module is used to receive messages to remote control vehicles. The ultrasonic and infrared module is used to realize object detection around vehicles. To realize complex route movement, raspberry pie is used for visual recognition and path planning. Data is sent to Arduino for judgment in real time. Finally, it is verified that the design effectively improves the path-planning ability and obstacle-avoidance function in a sample vehicle.
{"title":"Intelligent Vehicle Systematic Design Based on Arduino and Raspberry Pi","authors":"Yulin Liu, Xiaolu Liu, Chunguang Lu, Lei Song, Guoyu Cui, Haifeng Qian, Nick Nianxiong Tan","doi":"10.1088/1742-6596/2632/1/012017","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012017","url":null,"abstract":"Abstract The intelligent vehicle designed in this paper can realize functions, such as safety detection, visual identification, remote control and manipulator grasping, and so on. Arduino MEGA is used as the main control board to send signal messages to drive vehicles. Wi-Fi module is used to receive messages to remote control vehicles. The ultrasonic and infrared module is used to realize object detection around vehicles. To realize complex route movement, raspberry pie is used for visual recognition and path planning. Data is sent to Arduino for judgment in real time. Finally, it is verified that the design effectively improves the path-planning ability and obstacle-avoidance function in a sample vehicle.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"22 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2632/1/012024
Xianxian Wu, Yan Zhang, Bin Feng
Abstract This paper presents a novel approach for evaluating the pronunciation quality of English speech using continuous speech recognition technology. The research focuses on the application of artificial intelligence in speech recognition, utilizing web browsers on various terminal devices such as computers, mobile phones, and tablets to allow users to read the provided text aloud. The web program captures audio input from the microphone, records it in MP3 format, and uploads it to the server. The server employs the Whisper model to transcribe the audio into semantic text, which is then compared with the displayed text. By calculating the semantic distance and assessing the accuracy of pronunciation, the system provides an evaluation of pronunciation quality, marking correct and incorrect words. To achieve real-time processing, the compact tiny model is employed, and further optimization is performed using Ctranslate 2, resulting in significant performance improvements.
{"title":"English Pronunciation Quality Evaluation System Based on Continuous Speech Recognition Technology for Multi-Terminal","authors":"Xianxian Wu, Yan Zhang, Bin Feng","doi":"10.1088/1742-6596/2632/1/012024","DOIUrl":"https://doi.org/10.1088/1742-6596/2632/1/012024","url":null,"abstract":"Abstract This paper presents a novel approach for evaluating the pronunciation quality of English speech using continuous speech recognition technology. The research focuses on the application of artificial intelligence in speech recognition, utilizing web browsers on various terminal devices such as computers, mobile phones, and tablets to allow users to read the provided text aloud. The web program captures audio input from the microphone, records it in MP3 format, and uploads it to the server. The server employs the Whisper model to transcribe the audio into semantic text, which is then compared with the displayed text. By calculating the semantic distance and assessing the accuracy of pronunciation, the system provides an evaluation of pronunciation quality, marking correct and incorrect words. To achieve real-time processing, the compact tiny model is employed, and further optimization is performed using Ctranslate 2, resulting in significant performance improvements.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"97 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135715699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1088/1742-6596/2645/1/012013
Shuicheng Gong, Fuhao Zhang, Gang Xun, Xuesong Li
Abstract With the wide application of Particle Image Velocimetry (PIV) technology in various engineering and research fields, the requirements for the accuracy, computational efficiency, and robustness of PIV algorithms are increasing. Although traditional algorithms have wide applicability, they suffer from low accuracy, large computational cost, and poor robustness. Recently, deep learning algorithms have provided new solutions, especially, convolutional neural networks with different structures, which have achieved good performance on synthetic PIV datasets. This paper proposes a structural improvement scheme for PIV convolutional neural network models. Experiments verify that the proposed method can significantly optimize the performance of the model on synthetic PIV datasets, providing a novel approach for improving other convolutional neural networks for PIV analysis.
{"title":"An Improved Convolutional Neural Network for Particle Image Velocimetry","authors":"Shuicheng Gong, Fuhao Zhang, Gang Xun, Xuesong Li","doi":"10.1088/1742-6596/2645/1/012013","DOIUrl":"https://doi.org/10.1088/1742-6596/2645/1/012013","url":null,"abstract":"Abstract With the wide application of Particle Image Velocimetry (PIV) technology in various engineering and research fields, the requirements for the accuracy, computational efficiency, and robustness of PIV algorithms are increasing. Although traditional algorithms have wide applicability, they suffer from low accuracy, large computational cost, and poor robustness. Recently, deep learning algorithms have provided new solutions, especially, convolutional neural networks with different structures, which have achieved good performance on synthetic PIV datasets. This paper proposes a structural improvement scheme for PIV convolutional neural network models. Experiments verify that the proposed method can significantly optimize the performance of the model on synthetic PIV datasets, providing a novel approach for improving other convolutional neural networks for PIV analysis.","PeriodicalId":44008,"journal":{"name":"Journal of Physics-Photonics","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135715701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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