{"title":"Stabilization of an Ode-Heat Cascaded System with Integral Term","authors":"Huiming Li, Xinglan Liu, Zhongcheng Zhou","doi":"10.1145/3565387.3565389","DOIUrl":"https://doi.org/10.1145/3565387.3565389","url":null,"abstract":"This paper considers the stabilization of an ODE (ordinary differential equation)-heat cascaded system with integral term. A two-step backstepping method is proposed to obtain the control law via selecting an intermediate control system. Then, the stability of the closed-loop system is proved by using Lyapunov function and the boundedness of the invertible backstepping transformation. Finally, a simulation experiment to illustrate the effectiveness of the controller.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114472743","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}
{"title":"Remote Sensing Monitoring of Afforestation and Its Interaction with Climate in Saihanba Mechanical Forest Farm in Recent 45 Years","authors":"Jian Sun, Yanling Li","doi":"10.1145/3565387.3565429","DOIUrl":"https://doi.org/10.1145/3565387.3565429","url":null,"abstract":"This paper studies the impact of afforestation on the local climate of the Saihanba mechanical forest farm in the recent 45 years. Based on Landsat satellite images from 1975 to 2019, with an average period of 10 years, the change rule of fractional vegetation cover of the area was obtained by Normalized Difference Vegetation Index (NDVI) and Dimidiate Pixel Model. Combined with climate factors including local temperature and precipitation, the correlation analysis was carried out. The results show that the fractional vegetation cover in Saihanba area has been increasing in the recent 45 years. At present, it has high coverage in most areas and the proportion of highest coverage is 72.18% in 2019. The correlation between fractional vegetation cover and temperature (correlation coefficient is -0.62) is higher than that of precipitation (correlation coefficient is 0.30). The relationship between temperature factors and FVC is nonlinear. Equation fitting was carried out for each temperature factor, and the determination coefficients are all above 0.45. Therefore, there is a correlation between afforestation and local temperature and precipitation, and the correlation with temperature is higher.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126310185","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}
{"title":"Optimization for the Numerical Solution Method Aiming at Recirculation Phenomena Caused by the Flow Blockage Scenarios","authors":"Xiao-Yong Luo, Z. Chen","doi":"10.1145/3565387.3565392","DOIUrl":"https://doi.org/10.1145/3565387.3565392","url":null,"abstract":"Flow blockage accidents may cause fluid backflow or recirculation, and lead to changes in flow characteristics. In the nuclear reactor design, the compact fuel rod design of the reactor core can easily cause flow blockage due to corrosion or impurities, which can not be ignored. In this work, a numerical solution method for predicting the thermal-hydraulic parameters under this issue is proposed and an optimization method is also given with the main targets to speed up the running speed. Current results are validated by experiments, which have proved the accuracy of this numerical solution method. Besides, the optimization method is also quantified by comparing it with the serial-version code, which shows that dozens of times speedup can be achieved on the large-scale fuel assembly.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"71 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840593","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}
{"title":"A Strategy to Incorporate Voting Approach into Influential Nodes Identification of the Attention Flow Networks","authors":"Yong Li, Shen Wang","doi":"10.1145/3565387.3565428","DOIUrl":"https://doi.org/10.1145/3565387.3565428","url":null,"abstract":"Identifying the influential nodes in complex networks plays a crucial role in the fields of epidemic control and public opinion guidance. Most of the previous algorithms are based on synthetic networks, the potential connection between nodes and higher-hop neighbors is not fully considered. Based on the massive online user behavior data, we construct a weighted collective attention flow network model with voting mechanism. By defining two indicators of voting contribution and voting score, the characteristics of high-hop neighbor nodes are effectively extracted, we finally convert the critical node identification task in complex networks into an influence maximization problem. Extensive experiments on five public datasets and private networks demonstrate that ANVM (Identification of influential node in attention flow network based on voting mechanism) algorithm can effectively avoid the problem of node influence overlap and the phenomenon of \"rich club\" in the network.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129651344","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}
{"title":"AR-based Accessibility Verification Method for Smart Manufacturing System with Human Motion Capture","authors":"Chengshun Li, Xiaonan Yang, Yaoguang Hu, Wanting Mao, Haonan Fang","doi":"10.1145/3565387.3565450","DOIUrl":"https://doi.org/10.1145/3565387.3565450","url":null,"abstract":"With the development of industrial production towards personalization and intelligence, process validation of manufacturability has become a complex and time-consuming problem in manufacturing system. Smart manufacturing requires manufacturing system to have the ability of rapid response to various product designs. However, there is an obvious time span between product design and accessibility verification process. Augmented reality (AR) constructs an environment of virtual reality integration, which brings people intuitive visual feeling and natural interaction feedback. It can be easily applied to the early stage of product accessibility verification. This paper presents a digital human assisted accessibility verification system based on AR, which can perform accessibility verification in the product design stage. In this system, augmented reality glasses are used to realize the natural interaction between human and product 3D model, and a motion capture device is used to realize the superposition of digital human and operators. This paper expounds the above methods and related devices in detail, verifies the feasibility of this system through an industrial example, and shows its application potential in smart manufacturing system.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129993669","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}
Kun Yuan, Cunbo Zhuang, Jinshan Liu, Jindan Feng, Hui Xiong, Jiancheng Shi
{"title":"Nonlinear Kalman Filter Based Shop Floor RFID Data Fusion Algorithm","authors":"Kun Yuan, Cunbo Zhuang, Jinshan Liu, Jindan Feng, Hui Xiong, Jiancheng Shi","doi":"10.1145/3565387.3565440","DOIUrl":"https://doi.org/10.1145/3565387.3565440","url":null,"abstract":"Radio frequency identification (RFID) technology is one of the main means to obtain the location data of production elements such as personnel and materials in intelligent workshops, but its positioning accuracy has many uncertainties. In order to map the transportation trajectory of workshop materials in digital space more accurately, this paper adopts a nonlinear Kalman filter-based RFID data fusion algorithm. Firstly, the good estimation performance of nonlinear filters such as extended Kalman filter (EKF) and unscented Kalman filter (UKF) is utilized, and the motion process is determined by combining with the target dynamics model thus forming the fusion algorithm, and finally the data from multiple RFID readers are fused for path estimation and the final approximate trajectory is obtained. In the simulation experiments, after repeated experiments and comparison experiments with particle filter (PF) and Gauss-Hermite Kalman filter (GHKF) algorithms, it is found that the UKF-based fusion algorithm proves to have higher accuracy, and the EKF-based fusion algorithm has less computing time. In addition, the fusion performance of both methods is excellent in RFID readers sufficiency areas.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"356 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133282936","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}
{"title":"Construction of Cross-Border Food Supply Chain Information Sharing Platform Based on Blockchain Under COVID-19","authors":"Zhuoli He","doi":"10.1145/3565387.3565414","DOIUrl":"https://doi.org/10.1145/3565387.3565414","url":null,"abstract":"The pandemic of the COVID-19 has caused many problems in the cross-border food supply chain during transportation, such as food safety is difficult to guarantee due to the infection of people or environmental epidemics, information asymmetry and difficult to share in the food supply chain, and food related information is tampered with and difficult to trace during transportation. The emergence of blockchain technology has brought new solutions to the above problems. Based on the relevant functions and characteristics of the blockchain, this paper constructs a cross-border food supply chain information sharing platform under the blockchain technology, such as using smart contracts to monitor the epidemic security risk in the transportation process of the supply chain, using hash functions and tamper proof features to deal with food information fraud, and using the distributed and decentralized characteristics of the blockchain to solve the sharing problem of information asymmetry; The time stamp in the blockchain is used to trace the information of each link node of food and the initial node for accountability. In this paper, the construction process of the platform is described in detail from the perspective of model, function and subject, and the specific process of the platform is described in detail from the perspective of information storage, information sharing and information traceability. In this paper, the emerging blockchain technology is applied to all links of the food supply chain, and considering the current epidemic problems, the platform can bring new ideas to solve the problems of cross-border food transportation during the epidemic, and has certain theoretical value.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532324","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}
{"title":"Research on Information Hiding Algorithm Based on Local Fusion of 3D Model","authors":"Shuai Ren, Shengxian Liu, Binbin Wang","doi":"10.1145/3565387.3565456","DOIUrl":"https://doi.org/10.1145/3565387.3565456","url":null,"abstract":"Aiming at the problem that the single-carrier 3D model has a weak ability to resist heterogeneous compression attacks, an information hiding algorithm based on the local feature fusion of the multi-carrier 3D model is proposed. First, the PCA (principal components analysis) regression method was used to estimate the normal carrier of the surface curvature, and the feature points of the vector set of 3D model were extracted from the surface curvature; Secondly, the carrier set was prefused with spindle correction, and then the distance threshold between feature points was set by ICP (Iterative Closest Point) nearest point iterative algorithm. After the fusion state of the carrier was obtained, the local fusion block was extracted by difference calculation with the original carrier; Thirdly, Arnold is used to scramble the secret information to get the binary sequence with the optimal matching degree with the carrier; Finally, meshed local fusion blocks, whose structural complexity is defined by the perimeter of the grid, embed binary sequences into vertices with high structural complexity. The algorithm hides the binary sequences with optimal matching degree with the carrier in the vertices with high structural complexity in the local fusion block, the invisibility and robustness of the algorithm are improved greatly. It can be seen from the experimental results that the proposed algorithm has high resistance to non-uniform compression and other attacks, indicating that its invisibility and robustness are high.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124830707","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}
{"title":"Foreign Object Debris Detection Based on Gaussian Mixture Autoencoder of Pre-trained Features","authors":"Ying Jing, Hong Zheng, Wentao Zheng","doi":"10.1145/3565387.3565431","DOIUrl":"https://doi.org/10.1145/3565387.3565431","url":null,"abstract":"In this study, a novel anomaly localization method called Gaussian Mixture Autoencoder of Pre-trained Features (GMAPF) is proposed to perform foreign object debris (FOD) detection in the field of aviation. GMAPF utilizes the pre-trained deep convolutional neural network to establish multi-hierarchical feature representations, which are then fed into the deep autoencoder for dimensionality reduction and learning of low-dimensional embedding for each pixel of an image. The distribution of the normal pixel embedding is then modeled by Gaussian mixture model (GMM). Besides, instead of Expectation-Maximization (EM), GMAPF leverages a multi-layer perceptron to learn the parameters of GMM. Therefore, GMAPF could simultaneously optimize the parameters of the deep autoencoder and GMM in an end-to-end way. Many experiments are done on a newly collected dataset FOD, and the experimental results demonstrate the validity of GMAPF.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126193778","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}
{"title":"A Method of Customized Bus Route Design","authors":"Wen-Bin Zhang, Bin Xu","doi":"10.1145/3565387.3565437","DOIUrl":"https://doi.org/10.1145/3565387.3565437","url":null,"abstract":"Customized public transportation is a public transportation mode that can meet the individual needs of travelers. It aims to attract commuters in private cars and who plan to use private cars to change the mode of traveling. Travel services are provided for those who have close travel factors such as origin, destination and travel time. In order to study that the customized bus system can better meet the commuting needs of passengers, this paper constructs a model that minimizes the distance between original and destination and the travel time according to the characteristics of the customized bus line planning, so that the commuter's travel cost can reach minimal. This paper uses the shortest path method to obtain the customized bus route plan, compares the travel time and distance with the conventional bus to get the advantages of customized bus, and analyzes the fare formulation plan. Finally, based on the actual road network of Xi'an (Baqiao District-High-tech Zone), a case study is conducted to verify the feasibility and effectiveness of the method. The results show that the method in this paper can provide operators with a route operation plan based on the optimization objective, thereby providing a basis for customized bus route planning.","PeriodicalId":182491,"journal":{"name":"Proceedings of the 6th International Conference on Computer Science and Application Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124082076","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}