Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934538
Liu Mengnan, Liao Hongbin
In order to determine the position and pose of color-belt-guided AGV, a visual detection system for color-belt-guided AGV is designed using OpenMV. In this paper, a regular pattern ribbon is used as AGV path guidance, and the least square method is used to calculate the displacement and Angle of AGV. The template matching method is used to calculate the motion displacement of AGV. The experimental results show that the system can fit well and calculate the camera deflection Angle and displacement accurately no matter the ribbon is intact or damaged.
{"title":"Ribbon guided AGV vision detection system development","authors":"Liu Mengnan, Liao Hongbin","doi":"10.23919/WAC55640.2022.9934538","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934538","url":null,"abstract":"In order to determine the position and pose of color-belt-guided AGV, a visual detection system for color-belt-guided AGV is designed using OpenMV. In this paper, a regular pattern ribbon is used as AGV path guidance, and the least square method is used to calculate the displacement and Angle of AGV. The template matching method is used to calculate the motion displacement of AGV. The experimental results show that the system can fit well and calculate the camera deflection Angle and displacement accurately no matter the ribbon is intact or damaged.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130940941","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934139
Xiaoxiao Wang
In recent years, due to the rapid development of my country's Internet e-commerce product apparel industry, a number of global e-commerce models such as b2c and b2b have emerged, making online virtual shopping and offline physical consumption models rapidly emerging. The b2c online group buying business model has been steadily promoted in developed countries such as Europe and the United States due to its many characteristics and advantages. Online group buying, a new e-commerce model with its continuous improvement characteristics, has been widely loved and favored by more and more Internet users. How to let users and merchants on the network jointly obtain the maximization of revenue from group buying has been a problem that many researchers have paid close attention to in recent years. This article mainly aims to discuss and analyze the dynamics of enterprise group formation and group management mode and its algorithm in the e-commerce environment, through the literature research method, case study method, questionnaire survey method and inductive deduction method from the perspective of the traditional e-commerce model. Analyze the existing online group buying, and propose a new dynamic group buying model based on the two aspects of consumer satisfaction and consumer purchase price in the existing online group buying, and put forward a new group buying algorithm based on this group buying model. Consumers with the same preferences gather together, so that consumers have an advantage in quantity and can get discounts on prices. On the basis of this dynamic group buying model, the group algorithm is used to select products with higher satisfaction and price comprehensive index for consumers, which can also effectively increase the sales of the merchants, thereby ensuring the maximum benefits of the merchants and consumers to a certain extent. The experimental results show that the scale of our online shopping market has reached 1.89 trillion, showing the huge potential of my country's online shopping market. The e-commerce platform B2C market is also growing rapidly, and more traditional industries will join B2C e-commerce.
{"title":"Dynamic Group Purchase Model and Group Algorithm in E-commerce Environment","authors":"Xiaoxiao Wang","doi":"10.23919/WAC55640.2022.9934139","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934139","url":null,"abstract":"In recent years, due to the rapid development of my country's Internet e-commerce product apparel industry, a number of global e-commerce models such as b2c and b2b have emerged, making online virtual shopping and offline physical consumption models rapidly emerging. The b2c online group buying business model has been steadily promoted in developed countries such as Europe and the United States due to its many characteristics and advantages. Online group buying, a new e-commerce model with its continuous improvement characteristics, has been widely loved and favored by more and more Internet users. How to let users and merchants on the network jointly obtain the maximization of revenue from group buying has been a problem that many researchers have paid close attention to in recent years. This article mainly aims to discuss and analyze the dynamics of enterprise group formation and group management mode and its algorithm in the e-commerce environment, through the literature research method, case study method, questionnaire survey method and inductive deduction method from the perspective of the traditional e-commerce model. Analyze the existing online group buying, and propose a new dynamic group buying model based on the two aspects of consumer satisfaction and consumer purchase price in the existing online group buying, and put forward a new group buying algorithm based on this group buying model. Consumers with the same preferences gather together, so that consumers have an advantage in quantity and can get discounts on prices. On the basis of this dynamic group buying model, the group algorithm is used to select products with higher satisfaction and price comprehensive index for consumers, which can also effectively increase the sales of the merchants, thereby ensuring the maximum benefits of the merchants and consumers to a certain extent. The experimental results show that the scale of our online shopping market has reached 1.89 trillion, showing the huge potential of my country's online shopping market. The e-commerce platform B2C market is also growing rapidly, and more traditional industries will join B2C e-commerce.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134076635","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934162
Huaijing Wang, Ping Wang
In recent years, with the development of software and hardware technology and the reduction of costs, motion capture systems have become popular. Cervical spondylosis is a common and frequently-occurring disease in clinical and daily life. The incidence of this disease is increasing year by year. The computer motion capture technology can better preserve the details of the cervical spine motion and record the motion trajectory for the patient when treating cervical spondylosis. This article aims at the clinical research of cervical spine motion trajectory based on computer motion capture technology. After understanding the basic anatomical structure of the cervical spine, mechanics, kinematics and other related knowledge, this article makes a reasonable simplification of the structure of the cervical spine, uses computer motion capture technology to observe and study the normal human cervical spine motion trajectory, and compares the different segments of the cervical spine. Experimental data shows that the range of C2-3 left and right motion is 2.2±2.0mm, and the front and back motion range is 0.2±1.7mm. When the C2-3 cervical spine rotates axially, the C2/3 range of motion is smaller than other cervical spine segments, indicating that this segment’s movement variation is large, and the movement direction is likely to be opposite to the overall twisting direction of the cervical spine.
{"title":"Clinical Study of Cervical Spine Motion Trajectory Based on Computer Motion Capture Technology","authors":"Huaijing Wang, Ping Wang","doi":"10.23919/WAC55640.2022.9934162","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934162","url":null,"abstract":"In recent years, with the development of software and hardware technology and the reduction of costs, motion capture systems have become popular. Cervical spondylosis is a common and frequently-occurring disease in clinical and daily life. The incidence of this disease is increasing year by year. The computer motion capture technology can better preserve the details of the cervical spine motion and record the motion trajectory for the patient when treating cervical spondylosis. This article aims at the clinical research of cervical spine motion trajectory based on computer motion capture technology. After understanding the basic anatomical structure of the cervical spine, mechanics, kinematics and other related knowledge, this article makes a reasonable simplification of the structure of the cervical spine, uses computer motion capture technology to observe and study the normal human cervical spine motion trajectory, and compares the different segments of the cervical spine. Experimental data shows that the range of C2-3 left and right motion is 2.2±2.0mm, and the front and back motion range is 0.2±1.7mm. When the C2-3 cervical spine rotates axially, the C2/3 range of motion is smaller than other cervical spine segments, indicating that this segment’s movement variation is large, and the movement direction is likely to be opposite to the overall twisting direction of the cervical spine.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133599244","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934355
Huang Xiong, Yao Zimin
This paper studies the algorithm modeling technology of computer-aided fractal art pattern design, which is a method of using computer algorithm to create fractal art pattern design. It is also called algorithmic modeling technology. This technology was developed in 2010 and first introduced in 2011. The algorithm used in this technology is called fractal design. It is a software that works according to mathematical equations. It can create patterns according to given data, such as the number or shape of objects or shapes that need to be created for a specific purpose. Computer aided fractal art pattern design is a technology of generating patterns by computer. The computer uses mathematical formulas and algorithms to generate patterns. These formulas are based on Fibonacci sequence, which is a very popular sequence in the world, mathematics and nature. The algorithm and the method of embedding control parame-ters realize a fractal art pattern design system with simple operation but no loss of function, so that designers who do not know much about fractal theory can generate fractal art patterns according to fractal principle through simple parameter adjustment and scheme selection.
{"title":"Algorithm modeling technology of computer aided fractal art pattern design","authors":"Huang Xiong, Yao Zimin","doi":"10.23919/WAC55640.2022.9934355","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934355","url":null,"abstract":"This paper studies the algorithm modeling technology of computer-aided fractal art pattern design, which is a method of using computer algorithm to create fractal art pattern design. It is also called algorithmic modeling technology. This technology was developed in 2010 and first introduced in 2011. The algorithm used in this technology is called fractal design. It is a software that works according to mathematical equations. It can create patterns according to given data, such as the number or shape of objects or shapes that need to be created for a specific purpose. Computer aided fractal art pattern design is a technology of generating patterns by computer. The computer uses mathematical formulas and algorithms to generate patterns. These formulas are based on Fibonacci sequence, which is a very popular sequence in the world, mathematics and nature. The algorithm and the method of embedding control parame-ters realize a fractal art pattern design system with simple operation but no loss of function, so that designers who do not know much about fractal theory can generate fractal art patterns according to fractal principle through simple parameter adjustment and scheme selection.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114515055","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934648
Lianguo Kang, Jihui Zhang, Xinwu Jiao
Digital road information is not only an important basic geographic element, but also a key component of basic geographic information in China. Accurate access to digital road information is very important for traffic management, urban planning, road control, GPS navigation and map updating. At present, there are two main ways to obtain digital road information: GPS trajectory data and remote sensing image. The road target in remote sensing image has remarkable characteristics in space, radiation, topology and texture. With the popularization of deep learning, the method of road extraction from remote sensing image using deep learning has become the main research direction of road extraction. this paper supports multi-source data.
{"title":"Urban road quality design supported by multi-source data and deep learning","authors":"Lianguo Kang, Jihui Zhang, Xinwu Jiao","doi":"10.23919/WAC55640.2022.9934648","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934648","url":null,"abstract":"Digital road information is not only an important basic geographic element, but also a key component of basic geographic information in China. Accurate access to digital road information is very important for traffic management, urban planning, road control, GPS navigation and map updating. At present, there are two main ways to obtain digital road information: GPS trajectory data and remote sensing image. The road target in remote sensing image has remarkable characteristics in space, radiation, topology and texture. With the popularization of deep learning, the method of road extraction from remote sensing image using deep learning has become the main research direction of road extraction. this paper supports multi-source data.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115010182","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934283
Koji Murai, H. Tamaru, R. Shoji, Eiko Saito, Makiko Minami, K. Kokubun
Automated traffic control is advancing for a variety of vehicles, with the demonstration of unmanned driving and the establishment of technical requirements making particular headway in the automotive field. In the marine sector, steps are also being taken to realize maritime autonomous surface ships (MASS) to reduce transportation costs, protect the environment, and address shortages in seafarer manpower. This includes international efforts, such as an examination of treaty requirements and regulatory hurdles facing MASS at the 103rd session of the Maritime Safety Committee of the International Maritime Organization (IMO MSC103). However, the ultimate issue facing the realization of MASS is the need for unmanned operation to address questions of human recognition and judgment in ship operation that cannot be easily quantified. Therefore, the purpose of this study was to quantify the skills related ship operation, particularly skilled operator-level recognition of maneuvering environments and determination of ship maneuvers.
{"title":"Evaluation on Brain Activity of Skilled Ship Operators by Near Infra-Red Spectroscopy: Experiment using ship maneuvering simulator","authors":"Koji Murai, H. Tamaru, R. Shoji, Eiko Saito, Makiko Minami, K. Kokubun","doi":"10.23919/WAC55640.2022.9934283","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934283","url":null,"abstract":"Automated traffic control is advancing for a variety of vehicles, with the demonstration of unmanned driving and the establishment of technical requirements making particular headway in the automotive field. In the marine sector, steps are also being taken to realize maritime autonomous surface ships (MASS) to reduce transportation costs, protect the environment, and address shortages in seafarer manpower. This includes international efforts, such as an examination of treaty requirements and regulatory hurdles facing MASS at the 103rd session of the Maritime Safety Committee of the International Maritime Organization (IMO MSC103). However, the ultimate issue facing the realization of MASS is the need for unmanned operation to address questions of human recognition and judgment in ship operation that cannot be easily quantified. Therefore, the purpose of this study was to quantify the skills related ship operation, particularly skilled operator-level recognition of maneuvering environments and determination of ship maneuvers.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114733240","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934368
T. Cam, C. Nguyen, D. Tran
This paper proposed a Synchronization control scheme based on the the concept of Proportional Derivative (PD) control developed for in conjunction with the time-delay estimation (TDE) control scheme for the closed-kinematic chain manipulator (CKCM). By employing the synchronization technique, PD control and TDE control, the proposed method that ensures the global asymptotic convergence of tracking errors while forcing all active joints to move in a predefined synchronous manner in the presence of uncertainties. The performance of the proposed control is assessed by computer simulation on a 2 degrees-of-freedom (DOF) planar CKCM manipulator and simulation results are presented and discussed.
{"title":"An Advanced PD Controller for Robot Manipulators with Time-Delay Estimation","authors":"T. Cam, C. Nguyen, D. Tran","doi":"10.23919/WAC55640.2022.9934368","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934368","url":null,"abstract":"This paper proposed a Synchronization control scheme based on the the concept of Proportional Derivative (PD) control developed for in conjunction with the time-delay estimation (TDE) control scheme for the closed-kinematic chain manipulator (CKCM). By employing the synchronization technique, PD control and TDE control, the proposed method that ensures the global asymptotic convergence of tracking errors while forcing all active joints to move in a predefined synchronous manner in the presence of uncertainties. The performance of the proposed control is assessed by computer simulation on a 2 degrees-of-freedom (DOF) planar CKCM manipulator and simulation results are presented and discussed.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088538","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934710
Dianliang Chen
With the continuous development of computer technology, the coverage of informatization solutions covers all walks of life and all fields of society. For colleges and universities, teaching and scientific research are the basic tasks of the school. The scientific research ability of the school will affect the level of teachers and the training of students. The establishment of a good scientific research environment has become a more important link in the development of universities. SR(Scientific research) data is a prerequisite for SR activities. High-quality SR management data services are conducive to ensuring the quality and safety of SRdata, and further assisting the smooth development of SR projects. Therefore, this article mainly conducts research and practice on cloud computing-based scientific research management data services in colleges and universities. First, analyze the current situation of SR data management in colleges and universities, and the results show that the popularity of SR data management in domestic universities is much lower than that of universities in Europe and the United States, and the data storage awareness of domestic researchers is relatively weak. Only 46% of schools have developed SR data management services, which is much lower than that of European and American schools. Second, analyze the effect of CC(cloud computing )on the management of SR data in colleges and universities. The results show that 47% of SR believe that CC is beneficial to the management of SR data in colleges and universities to reduce scientific research costs and improve efficiency, the rest believe that CC can speed up data storage and improve security by acting on SR data management in colleges and universities.
{"title":"Practice on the Data Service of University Scientific Research Management Based on Cloud Computing","authors":"Dianliang Chen","doi":"10.23919/WAC55640.2022.9934710","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934710","url":null,"abstract":"With the continuous development of computer technology, the coverage of informatization solutions covers all walks of life and all fields of society. For colleges and universities, teaching and scientific research are the basic tasks of the school. The scientific research ability of the school will affect the level of teachers and the training of students. The establishment of a good scientific research environment has become a more important link in the development of universities. SR(Scientific research) data is a prerequisite for SR activities. High-quality SR management data services are conducive to ensuring the quality and safety of SRdata, and further assisting the smooth development of SR projects. Therefore, this article mainly conducts research and practice on cloud computing-based scientific research management data services in colleges and universities. First, analyze the current situation of SR data management in colleges and universities, and the results show that the popularity of SR data management in domestic universities is much lower than that of universities in Europe and the United States, and the data storage awareness of domestic researchers is relatively weak. Only 46% of schools have developed SR data management services, which is much lower than that of European and American schools. Second, analyze the effect of CC(cloud computing )on the management of SR data in colleges and universities. The results show that 47% of SR believe that CC is beneficial to the management of SR data in colleges and universities to reduce scientific research costs and improve efficiency, the rest believe that CC can speed up data storage and improve security by acting on SR data management in colleges and universities.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125640504","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934623
Qiao Wu
The traditional direct torque control is mainly based on the stator flux vector value to achieve the purpose of stator torque control. The most effective way is to change the double hysteresis structure of stator and torque flux. Although the structure of this control mode is relatively simple and the torque can respond quickly, it will lead to serious torque and speed fluctuations. In this paper, the SVPMSM technology is introduced to replace the original voltage vector selection module, and the MATLAB/Simulink simulation model is built. The results verify the effectiveness of the direct torque control algorithm.
{"title":"Simulation Research on direct torque control of permanent magnet synchronous motor based on SVPWM","authors":"Qiao Wu","doi":"10.23919/WAC55640.2022.9934623","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934623","url":null,"abstract":"The traditional direct torque control is mainly based on the stator flux vector value to achieve the purpose of stator torque control. The most effective way is to change the double hysteresis structure of stator and torque flux. Although the structure of this control mode is relatively simple and the torque can respond quickly, it will lead to serious torque and speed fluctuations. In this paper, the SVPMSM technology is introduced to replace the original voltage vector selection module, and the MATLAB/Simulink simulation model is built. The results verify the effectiveness of the direct torque control algorithm.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125989606","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 : 2022-10-11DOI: 10.23919/WAC55640.2022.9934612
Huijin Wang, Hongxia Liu, Yechun Zeng
In this paper, image noise reduction research is carried out based on in-depth learning. In specific life, due to the lack of perfection of equipment and system, the image will often be polluted by more noise, resulting in unclear image details and reduced image clarity. Better image display ability can be obtained when BP neural network is used to denoise the image. Through the research on the activation function and optimization network function based on weighted neural network (CNN), combined with multi feature extraction technology and other in-depth learning models, we can learn and extract the important features of the input image. At the same time, we propose CNN back propagation optimization algorithm. At the same time, the training speed of the model is improved and the convergence speed of the algorithm is accelerated. Based on the deep residual learning of convolution network, the algorithm is used to remove the noise in the model. This is a better image denoising network model. Compared with other excellent denoising algorithms, the analysis and comparison show that the optimized denoising algorithm can not reduce the clarity of the image. At the same time, the image noise pollution is greatly improved and the image details are clearer.
{"title":"An image denoising method based on depth learning","authors":"Huijin Wang, Hongxia Liu, Yechun Zeng","doi":"10.23919/WAC55640.2022.9934612","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934612","url":null,"abstract":"In this paper, image noise reduction research is carried out based on in-depth learning. In specific life, due to the lack of perfection of equipment and system, the image will often be polluted by more noise, resulting in unclear image details and reduced image clarity. Better image display ability can be obtained when BP neural network is used to denoise the image. Through the research on the activation function and optimization network function based on weighted neural network (CNN), combined with multi feature extraction technology and other in-depth learning models, we can learn and extract the important features of the input image. At the same time, we propose CNN back propagation optimization algorithm. At the same time, the training speed of the model is improved and the convergence speed of the algorithm is accelerated. Based on the deep residual learning of convolution network, the algorithm is used to remove the noise in the model. This is a better image denoising network model. Compared with other excellent denoising algorithms, the analysis and comparison show that the optimized denoising algorithm can not reduce the clarity of the image. At the same time, the image noise pollution is greatly improved and the image details are clearer.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124071713","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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