Pub Date : 2022-10-11DOI: 10.23919/WAC55640.2022.9934643
Haixia Yang
With the rapid development of mobile wireless Internet, the arrival of the information age has changed the way we think and communicate, and the pervasiveness of social media has prompted us to live in a culture of continuous learning and sharing. The influx and collection of information need to be controlled and applied, which has prompted changes and innovations in the means of information dissemination. The human visual system has amazing processing functions, and the visualization of information enables us to quickly and effectively gain insight and understanding of the communication of information. This article aims to study the application of Internet-based new media in information visualization. Based on the analysis of the shortcomings of traditional media information visualization design, the development characteristics of new media, and the superiority of information visualization design in new media, it is necessary to conduct new information on the residents of a certain city. Media information visualization questionnaire survey to understand the city’s residents’ understanding of new media information visualization. The survey results show that new media information visualization has a wide range of applications. What residents know best is new media charts, accounting for 24.5%; next are data news and information websites, accounting for 20% and 19.5% respectively; what residents don’t know is interaction design, the number of people who understand is only 10%.
{"title":"Internet-based New Media in Information Visualization","authors":"Haixia Yang","doi":"10.23919/WAC55640.2022.9934643","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934643","url":null,"abstract":"With the rapid development of mobile wireless Internet, the arrival of the information age has changed the way we think and communicate, and the pervasiveness of social media has prompted us to live in a culture of continuous learning and sharing. The influx and collection of information need to be controlled and applied, which has prompted changes and innovations in the means of information dissemination. The human visual system has amazing processing functions, and the visualization of information enables us to quickly and effectively gain insight and understanding of the communication of information. This article aims to study the application of Internet-based new media in information visualization. Based on the analysis of the shortcomings of traditional media information visualization design, the development characteristics of new media, and the superiority of information visualization design in new media, it is necessary to conduct new information on the residents of a certain city. Media information visualization questionnaire survey to understand the city’s residents’ understanding of new media information visualization. The survey results show that new media information visualization has a wide range of applications. What residents know best is new media charts, accounting for 24.5%; next are data news and information websites, accounting for 20% and 19.5% respectively; what residents don’t know is interaction design, the number of people who understand is only 10%.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"12 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":"123960507","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/WAC55640.2022.9934445
Xufeng Liu, Fei Meng, Li Chen
With the advent of the era of "data revolution", the technical development trend of architecture in the future will change greatly; Under the common goal of global sustainable development, improving the relationship between architecture and man, architecture and nature, and realizing and improving the functional requirements of architecture in an efficient way is the main topic of architectural development today. The rapid development of artificial intelligence (AI) technology makes the application of deep learning in various fields possible. The most popular is the application of artificial intelligence to improve urban planning and design. Deep learning has been used in many cities to optimize traffic flow, reduce energy consumption and improve the efficiency of green buildings. Machine learning using multi-layer neurons is called deep learning. Each neuron receives input from other neurons through weighted connections, which are trained by algorithms based on historical data or real-world experience. This makes the prediction more accurate than traditional methods (such as linear regression model or linear regression model).
{"title":"Research on green building optimization design of smart city based on deep learning","authors":"Xufeng Liu, Fei Meng, Li Chen","doi":"10.23919/WAC55640.2022.9934445","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934445","url":null,"abstract":"With the advent of the era of \"data revolution\", the technical development trend of architecture in the future will change greatly; Under the common goal of global sustainable development, improving the relationship between architecture and man, architecture and nature, and realizing and improving the functional requirements of architecture in an efficient way is the main topic of architectural development today. The rapid development of artificial intelligence (AI) technology makes the application of deep learning in various fields possible. The most popular is the application of artificial intelligence to improve urban planning and design. Deep learning has been used in many cities to optimize traffic flow, reduce energy consumption and improve the efficiency of green buildings. Machine learning using multi-layer neurons is called deep learning. Each neuron receives input from other neurons through weighted connections, which are trained by algorithms based on historical data or real-world experience. This makes the prediction more accurate than traditional methods (such as linear regression model or linear regression model).","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":"129413263","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/WAC55640.2022.9934124
Yonghui Liang
Brain tumors are mainly divided into primary and secondary tumors. BT (Brain tumors) are the third most common central nervous system disease in clinical practice except for traumatic brain injury and vascular disease. Its cure rate is low, and the recurrence rate is high. It poses a threat to the life of patients and seriously affects the quality of life of patients. Gliomas and brain metastases are the two most common BT. Glioma is characterized by low degree of differentiation, high degree of malignancy, very easy to relapse and poor prognosis. Metastases are characterized by diverse imaging manifestations, so it is difficult to distinguish brain metastases from gliomas through routine imaging examinations. MRI imaging has non-invasive advantages, and imaging technology is becoming more mature, which plays an important role in the identification of tumors that occur in the brain. MRI diagnosis has the advantages of high diagnosis rate and clear images, which is worthy of clinical use. Therefore, this article mainly analyzes the clinical value of MRI imaging in the diagnosis of BT. First of all, a comparative analysis of the diagnosis rate of BT under different diagnostic techniques is carried out. The results show that the diagnosis rate of BT by MRI imaging is the highest. The diagnosis rate of MRI imaging is 97% correct, and the error rate is only 3%. Secondly, analyzed the effect of MRI images in the diagnosis of BT. 37% of people think that MRI diagnosis can help improve the specificity of diagnosis, and 30% think that MRI diagnosis can accurately distinguish HGG and LGG.
{"title":"Analysis of the Clinical Value of MRI Imaging in the Diagnosis of Brain Tumors","authors":"Yonghui Liang","doi":"10.23919/WAC55640.2022.9934124","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934124","url":null,"abstract":"Brain tumors are mainly divided into primary and secondary tumors. BT (Brain tumors) are the third most common central nervous system disease in clinical practice except for traumatic brain injury and vascular disease. Its cure rate is low, and the recurrence rate is high. It poses a threat to the life of patients and seriously affects the quality of life of patients. Gliomas and brain metastases are the two most common BT. Glioma is characterized by low degree of differentiation, high degree of malignancy, very easy to relapse and poor prognosis. Metastases are characterized by diverse imaging manifestations, so it is difficult to distinguish brain metastases from gliomas through routine imaging examinations. MRI imaging has non-invasive advantages, and imaging technology is becoming more mature, which plays an important role in the identification of tumors that occur in the brain. MRI diagnosis has the advantages of high diagnosis rate and clear images, which is worthy of clinical use. Therefore, this article mainly analyzes the clinical value of MRI imaging in the diagnosis of BT. First of all, a comparative analysis of the diagnosis rate of BT under different diagnostic techniques is carried out. The results show that the diagnosis rate of BT by MRI imaging is the highest. The diagnosis rate of MRI imaging is 97% correct, and the error rate is only 3%. Secondly, analyzed the effect of MRI images in the diagnosis of BT. 37% of people think that MRI diagnosis can help improve the specificity of diagnosis, and 30% think that MRI diagnosis can accurately distinguish HGG and LGG.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"203 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":"127322656","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}
Internet security incidents are frequent, the forms of attacks against Internet business systems are diversified, and the traditional defense means can hardly meet the growing security protection needs. This paper proposes a new system based on cyberspace asset discovery and identification method, which contains five layers: data collection layer, data aggregation layer, data storage layer, permission control layer and web display layer, to comprehensively and accurately sort out the network assets, clearly grasp the attack surface exposed assets, and effectively manage and protect the cyberspace for security.
{"title":"A Novel System for Asset Discovery and Identification in Cyberspace","authors":"Jin-Duo Lu, Xin Qiu, Rui Guo, Lincheng Li, Jiawei Zeng","doi":"10.23919/WAC55640.2022.9934547","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934547","url":null,"abstract":"Internet security incidents are frequent, the forms of attacks against Internet business systems are diversified, and the traditional defense means can hardly meet the growing security protection needs. This paper proposes a new system based on cyberspace asset discovery and identification method, which contains five layers: data collection layer, data aggregation layer, data storage layer, permission control layer and web display layer, to comprehensively and accurately sort out the network assets, clearly grasp the attack surface exposed assets, and effectively manage and protect the cyberspace for security.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"49 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":"125297760","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/WAC55640.2022.9934159
Qin-Bao Song, N. Kubota, Yuqi Zhang
Physical movements are an important part of people’s activities and communication. The movements of the hands and upper limbs are relatively fast, and the postures in the lower part of the ordinary camera will produce smears, and the images will be clearly obtained only when they are stopped, which seriously affects the recognition speed. This article takes the hands-guessing game in the communication robot as an example. Using a high-speed camera, the corresponding posture can be recognized when the posture is not completed during the hands-guessing game. It is expected that postures can be recognized in a more timely manner in human posture recognition, and the sense of delay in communication can be reduced. The corresponding data is collected and the model is generated after deep learning. In the fast-moving stage of postures, using a ordinary camera, the percentage of time that different postures are unrecognizable is between 50% and 60%. Compared with ordinary cameras, using high-speed cameras, the unrecognizable time percentage of different postures is reduced from 50%-60% to 0%, and the effect is obvious. In human-computer interaction, using ordinary cameras to infer postures, the people participating in the test have a significant sense of delay. With a high-speed camera, this feeling of delay is barely noticeable.
{"title":"Posture Recognition for Human-robot Interaction Based on High Speed Camera","authors":"Qin-Bao Song, N. Kubota, Yuqi Zhang","doi":"10.23919/WAC55640.2022.9934159","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934159","url":null,"abstract":"Physical movements are an important part of people’s activities and communication. The movements of the hands and upper limbs are relatively fast, and the postures in the lower part of the ordinary camera will produce smears, and the images will be clearly obtained only when they are stopped, which seriously affects the recognition speed. This article takes the hands-guessing game in the communication robot as an example. Using a high-speed camera, the corresponding posture can be recognized when the posture is not completed during the hands-guessing game. It is expected that postures can be recognized in a more timely manner in human posture recognition, and the sense of delay in communication can be reduced. The corresponding data is collected and the model is generated after deep learning. In the fast-moving stage of postures, using a ordinary camera, the percentage of time that different postures are unrecognizable is between 50% and 60%. Compared with ordinary cameras, using high-speed cameras, the unrecognizable time percentage of different postures is reduced from 50%-60% to 0%, and the effect is obvious. In human-computer interaction, using ordinary cameras to infer postures, the people participating in the test have a significant sense of delay. With a high-speed camera, this feeling of delay is barely noticeable.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"12 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":"126826464","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}
With the development of Internet + technology in the information society, the penetration rate of mobile phones is getting higher and higher, and people are more and more likely to accept the use of mobile banking, handheld business halls and various online transactions, which not only facilitates people’s daily life, it also reduces the service pressure of all walks of life. This article focuses on the Internet+-based State Grid app innovation strategy. After analyzing some of the problems existing in the State Grid at this stage, it then innovates the introduction of Internet+. Finally, the app is designed according to the innovation strategy, and the design can be a business Integrate the app and test the app. The test results show that the overall design of the app is relatively good. The app’s functionality score is between 3-5, and the app’s interface design score is 3 between 5.
{"title":"The Innovation Strategy of State Grid APP Based on Internet+","authors":"Wei Ou, Jiajia Wang, Guanghai Ren, Lin Bai, Bo-wen Zhang, Wei Zhang","doi":"10.23919/WAC55640.2022.9934737","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934737","url":null,"abstract":"With the development of Internet + technology in the information society, the penetration rate of mobile phones is getting higher and higher, and people are more and more likely to accept the use of mobile banking, handheld business halls and various online transactions, which not only facilitates people’s daily life, it also reduces the service pressure of all walks of life. This article focuses on the Internet+-based State Grid app innovation strategy. After analyzing some of the problems existing in the State Grid at this stage, it then innovates the introduction of Internet+. Finally, the app is designed according to the innovation strategy, and the design can be a business Integrate the app and test the app. The test results show that the overall design of the app is relatively good. The app’s functionality score is between 3-5, and the app’s interface design score is 3 between 5.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"37 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":"123350751","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/WAC55640.2022.9934167
Anahita Moradmand, B. Shafai, M. Saif
This paper considers the problem of optimal control of nonlinear single and multiple interconnected dynamic systems using state dependent Riccati equation (SDRE). SDRE method mimics the classical LQR method of optimal linear control for a large class of nonlinear systems. It relies on a non-unique factorization of nonlinear systems known as the state dependent coefficient (SDC) parametrization. The paper initially provides a comprehensive derivation of SDRE for a single nonlinear system represented by SDC. Then, the necessary equations are given for multiple interconnected dynamic system based on the generalized SDC representation. We show the effectiveness of SDRE method and compare it with the method of control law partitioning or the method of computed-torque control (CTC), which has been used in control of robotics manipulators. Illustrative examples are given to demonstrate the usefulness of SDRE method as applied to single and multiple interconnected inverted pendulum as well as robotic manipulator.
{"title":"Optimal Tracking for Nonlinear Interconnected Dynamic Systems using State Dependent Riccati Equation","authors":"Anahita Moradmand, B. Shafai, M. Saif","doi":"10.23919/WAC55640.2022.9934167","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934167","url":null,"abstract":"This paper considers the problem of optimal control of nonlinear single and multiple interconnected dynamic systems using state dependent Riccati equation (SDRE). SDRE method mimics the classical LQR method of optimal linear control for a large class of nonlinear systems. It relies on a non-unique factorization of nonlinear systems known as the state dependent coefficient (SDC) parametrization. The paper initially provides a comprehensive derivation of SDRE for a single nonlinear system represented by SDC. Then, the necessary equations are given for multiple interconnected dynamic system based on the generalized SDC representation. We show the effectiveness of SDRE method and compare it with the method of control law partitioning or the method of computed-torque control (CTC), which has been used in control of robotics manipulators. Illustrative examples are given to demonstrate the usefulness of SDRE method as applied to single and multiple interconnected inverted pendulum as well as robotic manipulator.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"24 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":"126514849","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/WAC55640.2022.9934237
Yuelin Chen
With the continuous development of science and technology in the world today, artificial intelligence is increasingly used in modern mechanical engineering. In some mechanical design projects, artificial intelligence has shown its advantages and highlighted its importance. To this end, this article takes a representative robotic arm in mechanical engineering as an example. Based on the analysis of the development direction of artificial intelligence, the path planning algorithm based on artificial intelligence, the characteristics of the ant colony algorithm, and the mathematical modeling of the ant colony algorithm. The ant colony algorithm has problems in the path planning process. This paper proposes an optimized ant colony algorithm path planning method. Through experiments and data analysis, it is verified that the algorithm in this paper is closer to the original ant colony algorithm, and the convergence speed of the algorithm is slower. Therefore, the optimized ant colony algorithm converges faster.
{"title":"Relevance Research of Artificial Intelligence Technology in the Field of Mechanical Engineering","authors":"Yuelin Chen","doi":"10.23919/WAC55640.2022.9934237","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934237","url":null,"abstract":"With the continuous development of science and technology in the world today, artificial intelligence is increasingly used in modern mechanical engineering. In some mechanical design projects, artificial intelligence has shown its advantages and highlighted its importance. To this end, this article takes a representative robotic arm in mechanical engineering as an example. Based on the analysis of the development direction of artificial intelligence, the path planning algorithm based on artificial intelligence, the characteristics of the ant colony algorithm, and the mathematical modeling of the ant colony algorithm. The ant colony algorithm has problems in the path planning process. This paper proposes an optimized ant colony algorithm path planning method. Through experiments and data analysis, it is verified that the algorithm in this paper is closer to the original ant colony algorithm, and the convergence speed of the algorithm is slower. Therefore, the optimized ant colony algorithm converges faster.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"30 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":"116738488","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/WAC55640.2022.9934515
Ze-Feng Gao, Sihuang Man, Anqi Wang
With the development of information technology, data visualization, cloud computing, big data and other modern computer technology mature and design requirements continue to improve, artificial intelligence (AI) has become one of the three cutting-edge technologies and has been gradually applied in the art creation field. This paper mainly studies the impact of AI on social production and artistic creation. Through empirical analysis, this paper measures the change of innovation efficiency in the process of promoting the upgrading of related Art design industries through the application of AI technology and further analysis of the impact of art and design industry innovation efficiency of the specific factors. The results show that the efficiency of the first stage innovation technology research and development of the Chinese art design industry is higher than that of the second stage innovation achievements transformation, no matter from the perspective of industry comparison, region comparison, or enterprise nature comparison.
{"title":"AI Art and Design Creation Industry: The Transformation from Individual Production to Human-Machine Symbiosis","authors":"Ze-Feng Gao, Sihuang Man, Anqi Wang","doi":"10.23919/WAC55640.2022.9934515","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934515","url":null,"abstract":"With the development of information technology, data visualization, cloud computing, big data and other modern computer technology mature and design requirements continue to improve, artificial intelligence (AI) has become one of the three cutting-edge technologies and has been gradually applied in the art creation field. This paper mainly studies the impact of AI on social production and artistic creation. Through empirical analysis, this paper measures the change of innovation efficiency in the process of promoting the upgrading of related Art design industries through the application of AI technology and further analysis of the impact of art and design industry innovation efficiency of the specific factors. The results show that the efficiency of the first stage innovation technology research and development of the Chinese art design industry is higher than that of the second stage innovation achievements transformation, no matter from the perspective of industry comparison, region comparison, or enterprise nature comparison.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"301 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":"121459299","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/WAC55640.2022.9934670
Shuo Wang
With the development of digital technology, 3D virtual technology has been widely used in industrial product design, film animation and other fields. It gradually affects and even changes the technology and mode of design, production and manufacturing. At present, 3D human body and garment modeling mainly rely on designers with professional knowledge to use modeling software for 3D scanning or manual design, which has high cost and low efficiency, and is difficult to meet real-time applications such as online fitting. This paper analyzes the concept, characteristics and functions of virtual simulation technology, puts forward MD software clothing simulation technology, and describes the implementation efficiency of three-dimensional virtual human body through data.
{"title":"Application of Silicon Colloid in Garment Printing based on 3D Simulation Technology","authors":"Shuo Wang","doi":"10.23919/WAC55640.2022.9934670","DOIUrl":"https://doi.org/10.23919/WAC55640.2022.9934670","url":null,"abstract":"With the development of digital technology, 3D virtual technology has been widely used in industrial product design, film animation and other fields. It gradually affects and even changes the technology and mode of design, production and manufacturing. At present, 3D human body and garment modeling mainly rely on designers with professional knowledge to use modeling software for 3D scanning or manual design, which has high cost and low efficiency, and is difficult to meet real-time applications such as online fitting. This paper analyzes the concept, characteristics and functions of virtual simulation technology, puts forward MD software clothing simulation technology, and describes the implementation efficiency of three-dimensional virtual human body through data.","PeriodicalId":339737,"journal":{"name":"2022 World Automation Congress (WAC)","volume":"5 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":"123870431","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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