{"title":"Modern intelligent logistics management paradigm based on management information system model","authors":"Chang-jiang Wan","doi":"10.1109/scset55041.2022.00045","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00045","url":null,"abstract":"The functional design of logistics information system should satisfy the establishment of an information platform that can scientifically manage and maintain logistics information, and provide a unified multi-source data service. The novelty of the presented idea can be separated into the two major core aspects. (l)The use of MIS in logistics industry can effectively deal with traditional problems,in order to operate efficiently in intelligent logistics management, management model should be constructed characterized by wireless sensor monitoring network, safety and reliability,closed loop of logistics service.(2)RFID technology can track the quality and dynamic process quickly, which is helpful to improve the quality control level of products in the process of circulation. Finalized model designed based on the above technology is aim to set further directions in intelligent logistics management.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125010405","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}
Xiangli Qu, Xiwei Feng, Y. Zhang, Siyuan Wang, Lei Sun, Pengcheng Hua, Yujie Wang
{"title":"Research on Component Retrieval and Matching Methods","authors":"Xiangli Qu, Xiwei Feng, Y. Zhang, Siyuan Wang, Lei Sun, Pengcheng Hua, Yujie Wang","doi":"10.1109/scset55041.2022.00087","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00087","url":null,"abstract":"Aiming at how to quickly retrieve the target component from the huge component library, this paper proposes a component retrieval method based on facet classification, which uses component keyword set to facet description of the component and constructs the component vectorized model. The idea of layering is adopted to divide the components in detail. The K-means clustering algorithm based on the maximum and minimum distances is used to cluster the components, so that the problem of component matching is transformed into the calculation of the cosine similarity of component vectors. This method can narrow down the search scope and effectively improve the search efficiency.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120897532","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}
Wenkai Yan, J. Ren, Jiangchuan Feng, Yi Duan, Changning Wei
{"title":"A New Forest Fire Risk Rating Forecast Model Based on XGBoost","authors":"Wenkai Yan, J. Ren, Jiangchuan Feng, Yi Duan, Changning Wei","doi":"10.1109/scset55041.2022.00060","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00060","url":null,"abstract":"In this paper, we introduce Extreme Gradient Boosting (XGBoost) to the forest fire risk rating forecast task and propose a new model based on the XGBoost algorithm with meteorological factors input. Based on the data of Chongqing province, 2016 to 2017, our model provides a convincing importance order which corresponds to the universal awareness. In contrast with traditional methods such as logistic regression (LR) and support vector machine (SVM), our model achieves a higher accuracy of 55.10%, which indicates the superiority of our model.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128399045","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":"The influence of constraint method on the finite element simulation for bolted joint","authors":"C. He, Jialun Yang, Bin Liu, Yaduo Liu, Bin Zhao","doi":"10.1109/scset55041.2022.00086","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00086","url":null,"abstract":"Due to the difficulty of observation and testing, more and more investigators use finite element method to simulate the loosening process of bolted joint. The influence of different constraint method on the results are discussed in the work. The results show that if the mesh is matched between the two tied parts, the results are the same as that of modelling the two parts as one component. If the mesh is unmatched between the two tied parts, the results have a very slight deviation from that of modelling the two parts as one component.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130290819","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}
Jiaxiang Huang, Jianghua Liu, Peng Chen, Shenglin Huo
{"title":"Inertial Derivative Data Storage System Based on STM32H743","authors":"Jiaxiang Huang, Jianghua Liu, Peng Chen, Shenglin Huo","doi":"10.1109/scset55041.2022.00076","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00076","url":null,"abstract":"An inertial derivative data storage system based on STM32H743 is designed. MPU6050 gyroscope accelerometer, GPS and other sensors are used to compose the inertial navigation system. After transplantation of FATFS file system, data can be stored through NAND FLASH storage medium, and data can be read through USB interface. This auxiliary debugging system has the advantages of small size, accurate data and strong processing ability. From the principle, design scheme, software implementation and other aspects of the realization of the explanation.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131077030","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":"Weighted expected value operators on fuzzy numbers","authors":"Qing-song Mao","doi":"10.1109/scset55041.2022.00095","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00095","url":null,"abstract":"The expected value operator is a widely used defuzzifier on fuzzy numbers. It treats each $alpha$-cut equally. In theory and applications, it is often necessary to reflect the differences of the importance of the $alpha$-cuts. To this aim, we introduce the weighted expected value operators from fuzzy numbers to □, which allow weighting the $alpha$-cuts. It’s shown that the weighted expected value operators are defuzzifiers and that they are additive and scale invariant. Furthermore, we investigate the continuity of the weighted expected value operators according to two types of hyperspace metrics: the sendograph metric and the endograph metric, respectively.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132083892","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}
Hao Wang, B. Chen, Jiantao Zheng, Yuqing Zhong, Min Wang
{"title":"Research on the on-line maintenance technology of the battery for communication power supply","authors":"Hao Wang, B. Chen, Jiantao Zheng, Yuqing Zhong, Min Wang","doi":"10.1109/scset55041.2022.00099","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00099","url":null,"abstract":"The overcharge, undercharge, and overdischarge of the battery will cause the consistency of the cells in the battery pack to deteriorate, thereby affecting the overall discharge performance and greatly reducing the normal working time of the battery.However, there is no suitable means to maintain the battery for overcharging, undercharging, overdischarging, and aging activation. In this paper, an online maintenance technology for lead-acid batteries is studied. By applying this technology, the problems of overcharge, undercharge and over discharge of the battery are avoided, and the corrosion and vulcanization of the battery plate are slowed down to a certain extent. This on-line maintenance technology can effectively reduce the failure rate and elimination rate of the battery, and reduce the replacement and maintenance cost of the battery.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132410289","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":"Trust Management Architecture for a Space Dispersed Computing Network","authors":"Houtian Wang, Qing Yang, Qingxia Chen","doi":"10.1109/scset55041.2022.00063","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00063","url":null,"abstract":"To facilitate the next generation of scientific missions, spacecraft must possess advanced processing capabilities to support computation-intensive and time-sensitive tasks. The core capability of the next generation space information network is computing. However, network security can become compromised in the pursuit of network exposure and openness. Trustability is an important goal of future space information networks. In this paper, trust management architecture for a space dispersed computing network (SDCN) is proposed for the first time. The layered structure is designed from the perspectives of trusted authentication, network transmission, distributed consensus, collaborative computing, and verification audit. The principle-based aspects of each layer are then discussed to improve the security and trustability of the SDCN. In addition, the effective combination of trusted architecture with typical space task scenarios is also discussed.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130231273","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":"SIMGAT: A Sentiment Analysis Model Based on Graph Attention Mechanism","authors":"Jun Zhou, Lin Chen, Jing He","doi":"10.1109/scset55041.2022.00039","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00039","url":null,"abstract":"With the normalization of social media, the popularization of Chinese, how to effectively enable computers to recognize Chinese short-text messages is an important task for network public opinion management and control. Due to the complexity of social media, information between people will have mutual influence, that is, short-text information is interrelated and can be described as a form of graph data. This paper is based on the method of graph neural network for Chinese sentiment analysis, and proposes a method based on improved graph attention mechanism to learn the semantic and structural information between short-text content, and at the same time aggregate short-text information from the field, so as to effectively express the emotional context. The experimental results show that, compared with the existing methods, the graph-based sentiment analysis model is very effective, and the attention mechanism shows a better effect on the sentiment analysis task of short-text.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247611","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 common view time frequency transfer based on RINEX format observation data","authors":"Jing Wu, X. Zheng, Jie Xu","doi":"10.1109/scset55041.2022.00078","DOIUrl":"https://doi.org/10.1109/scset55041.2022.00078","url":null,"abstract":"GNSS common view time frequency transfer technology, satellite bidirectional time frequency transfer technology and precise single point positioning technology are the current long-distance high-precision time-frequency comparison technology.In this paper, we use RINEX format common view data to compare the time and frequency of common view. This method obtains a data point in 30s. Compared with the traditional common view comparison method using cggtts data, this method has higher frequency.This paper evaluates the performance of cggtts data and RINEX data in frequency stability calculation. The results show that the frequency stability of cggtts format data is 1.7e-l29600s, 2.0e-l386400s and 5e-l4. The frequency stability of 960s is 8.6e-l3 9600s is 1.5e-l3 86400s is 2.3e-l4 calculated by RINEX format data. According to the monitoring of the measured frequency source, the 960s frequency stability of the measured frequency source is 1.2e-l29600s, the frequency stability is 1.6e-l386400s, and the frequency stability is 2.0e-l4. The results show that the frequency stability calculated by RINEX format data is closer to the real results.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114415585","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}