Pub Date : 2020-05-03DOI: 10.12783/dtcse/msam2020/34231
D. Fu, Bo Yang, Chunfang Yang
The dynamic management mode of warship equipment is a management mode based on the state of warship to adjust or strengthen the elements of equipment management. For different states of dynamic management mode, the emphasis of the equipment management activities will also be different. According to the characteristics of the dynamic management mode, this paper starts from the evaluation of equipment management activities under the dynamic management mode, on the basis of the dynamic comprehensive evaluation method based on TOWA operator[1],put forward a new rally operator (CTOWA). By using the new operators to gather the evaluation information of the warship, make the warship equipment management in different states under the dynamic management mode can be compared, which provides a new idea for the warship equipment management evaluation under the dynamic management mode.
{"title":"Modeling Method and Application of Warship Equipment Management Evaluation Under Dynamic Management Mode","authors":"D. Fu, Bo Yang, Chunfang Yang","doi":"10.12783/dtcse/msam2020/34231","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34231","url":null,"abstract":"The dynamic management mode of warship equipment is a management mode based on the state of warship to adjust or strengthen the elements of equipment management. For different states of dynamic management mode, the emphasis of the equipment management activities will also be different. According to the characteristics of the dynamic management mode, this paper starts from the evaluation of equipment management activities under the dynamic management mode, on the basis of the dynamic comprehensive evaluation method based on TOWA operator[1],put forward a new rally operator (CTOWA). By using the new operators to gather the evaluation information of the warship, make the warship equipment management in different states under the dynamic management mode can be compared, which provides a new idea for the warship equipment management evaluation under the dynamic management mode.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86696667","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34238
Shu-jie Simulation, J. Jiao
Sand mixing equipment is one of the key equipment in the process of shale gas exploitation. There is a complex interaction between various components of the sand mixing equipment. The failure of a single component could trigger a cascade of system failures. In view of this problem, we proposed a function failure identification and propagation model based on fuzzy theory. Matlab Simulink software was used for modeling and simulation. The as low as reasonably practicable principle is used to evaluate the risk levels of different failure conditions. By comparing the analysis results of traditional FFIP method and fuzzy FFIP method, the practicability and effectiveness of fuzzy FFIP method were proved.
{"title":"Simulation and Risk Assessment of Sand Mixing Equipment Based on Function Failure Propagation","authors":"Shu-jie Simulation, J. Jiao","doi":"10.12783/dtcse/msam2020/34238","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34238","url":null,"abstract":"Sand mixing equipment is one of the key equipment in the process of shale gas exploitation. There is a complex interaction between various components of the sand mixing equipment. The failure of a single component could trigger a cascade of system failures. In view of this problem, we proposed a function failure identification and propagation model based on fuzzy theory. Matlab Simulink software was used for modeling and simulation. The as low as reasonably practicable principle is used to evaluate the risk levels of different failure conditions. By comparing the analysis results of traditional FFIP method and fuzzy FFIP method, the practicability and effectiveness of fuzzy FFIP method were proved.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90090253","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34248
Zheng Tang, Ming-chi Lin, Cheng-Yu Wang
In the case of limited funding, in order to avoid the serious consequences of the shortage of critical spare parts on equipment, priority must be given to ensuring that critical spare parts are not in shortage. The assumption of the traditional equipment support model is that the criticality of spare parts is the same, which will lead to the priority of lower-priced spare parts rather than the critical ones under the constraints of limited funds. In order to overcome this shortcoming, an optimal allocation model based on the criticality of spare parts is established in this paper. The genetic algorithm software were used to solve the model. The practical case shows that under the circumstance of limited guarantee funds, the key-based spare parts allocation model can be adjusted according to the criticality of the spare parts, the priority is given to the highly critical spare parts, and the critical general spare parts are also considered.
{"title":"Critical Evaluation and Optimal Allocation Model of Ship Spare Parts","authors":"Zheng Tang, Ming-chi Lin, Cheng-Yu Wang","doi":"10.12783/dtcse/msam2020/34248","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34248","url":null,"abstract":"In the case of limited funding, in order to avoid the serious consequences of the shortage of critical spare parts on equipment, priority must be given to ensuring that critical spare parts are not in shortage. The assumption of the traditional equipment support model is that the criticality of spare parts is the same, which will lead to the priority of lower-priced spare parts rather than the critical ones under the constraints of limited funds. In order to overcome this shortcoming, an optimal allocation model based on the criticality of spare parts is established in this paper. The genetic algorithm software were used to solve the model. The practical case shows that under the circumstance of limited guarantee funds, the key-based spare parts allocation model can be adjusted according to the criticality of the spare parts, the priority is given to the highly critical spare parts, and the critical general spare parts are also considered.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89271373","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34245
Yue Wang, Yu-xue Wang, Xiao Ren
In recent years, with the development of the financial market in China, in the background of information and big data, the quantitative products in the domestic market are gradually increasing. Multifactor model is an important stock selection model, its advantage is that it can synthesize a lot of information and get a stock selection result, which has a wide range of applications in the stock market. The purpose of this paper is to find some factors most related to the rate of return by establishing a multifactor model, and to select different weight factors to construct a stock selection model. The article is intended to select the stock combination to make it greater than or equal to the market index in the future, and to obtain the optimal benefit. Compared with the traditional linear multifactor model, machine learning algorithm can find more precise market signals through the nonlinear expression of factors, in order to obtain more robust excess returns.
{"title":"Optimization of Stock Multifactor Model based on Machine Learning","authors":"Yue Wang, Yu-xue Wang, Xiao Ren","doi":"10.12783/dtcse/msam2020/34245","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34245","url":null,"abstract":"In recent years, with the development of the financial market in China, in the background of information and big data, the quantitative products in the domestic market are gradually increasing. Multifactor model is an important stock selection model, its advantage is that it can synthesize a lot of information and get a stock selection result, which has a wide range of applications in the stock market. The purpose of this paper is to find some factors most related to the rate of return by establishing a multifactor model, and to select different weight factors to construct a stock selection model. The article is intended to select the stock combination to make it greater than or equal to the market index in the future, and to obtain the optimal benefit. Compared with the traditional linear multifactor model, machine learning algorithm can find more precise market signals through the nonlinear expression of factors, in order to obtain more robust excess returns.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"50 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74446718","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34233
Wei Sun, Jinke Huang
A new distributed Cognitive Radio network Q-MAC has been proposed in the paper. The Q-MAC Protocol provides an efficient approach to address quality of service provisioning of delay sensitive applications. This MAC Protocol guarantees the QoS of network for such applications by giving priority to applications with higher time delay requirements in the stage of channel reservation. The performance of the Q-MAC Protocol with those of two existing protocols are compared. The results show that the Q-mac provides better throughput than those existing protocols. The analysis model and simulation results show that the designed Q-MAC Protocol is simple and effective. This Protocol can recognize and meet the QoS requirements of delay-sensitive applications and can effectively deal with the problem of multi-channel hidden terminal.
{"title":"A Distributed Network Q-Mac with Quality of Service Provisioning","authors":"Wei Sun, Jinke Huang","doi":"10.12783/dtcse/msam2020/34233","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34233","url":null,"abstract":"A new distributed Cognitive Radio network Q-MAC has been proposed in the paper. The Q-MAC Protocol provides an efficient approach to address quality of service provisioning of delay sensitive applications. This MAC Protocol guarantees the QoS of network for such applications by giving priority to applications with higher time delay requirements in the stage of channel reservation. The performance of the Q-MAC Protocol with those of two existing protocols are compared. The results show that the Q-mac provides better throughput than those existing protocols. The analysis model and simulation results show that the designed Q-MAC Protocol is simple and effective. This Protocol can recognize and meet the QoS requirements of delay-sensitive applications and can effectively deal with the problem of multi-channel hidden terminal.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85409422","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34224
Yunchao Wang, Zhi-chao Hu, H. Du
Multi-axle vehicles with dual steering systems (DSS), which include a hydraulicassisting steering link mechanism system for front axles and an electrohydraulic active-steering system (EHASS) for rear axles, become the development trendency of multi-axle vehicles. However, until now, no attempt has been made with regard to the mathematical model for multiaxle vehicles with DSS. By introducing two ratios of wheel steering angle to first wheel angle for the two steering systems, the model of multi-axle vehicles with DSS was deduced based on the Newton’s second law. The relevant experiment was carried and validate the model correction. The comparison between the vehicles with DSS and those with EHASS show that vehicles with DSS have an approximate mobility and stronger cornering stability.
{"title":"Modelling and Turning Characteristics Analysis of Dual-Steering Multi-Axle Vehicles","authors":"Yunchao Wang, Zhi-chao Hu, H. Du","doi":"10.12783/dtcse/msam2020/34224","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34224","url":null,"abstract":"Multi-axle vehicles with dual steering systems (DSS), which include a hydraulicassisting steering link mechanism system for front axles and an electrohydraulic active-steering system (EHASS) for rear axles, become the development trendency of multi-axle vehicles. However, until now, no attempt has been made with regard to the mathematical model for multiaxle vehicles with DSS. By introducing two ratios of wheel steering angle to first wheel angle for the two steering systems, the model of multi-axle vehicles with DSS was deduced based on the Newton’s second law. The relevant experiment was carried and validate the model correction. The comparison between the vehicles with DSS and those with EHASS show that vehicles with DSS have an approximate mobility and stronger cornering stability.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78995961","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34244
Jiancai Yang, Yu-xue Wang
This paper analysis accounting indicators of all companies those trade in Shanghai Securities Exchange and explores the PCA method in order to solve the repetitiveness of information between indicators which caused by the excessive number of indicators and simplify the original indicator system structure. Then the outcomes of principal component becomes input-output indicator of the Bootstrap-DEA arithmetic. At last we obtain the “relative efficiency” of the financial performance of companies. We get the conclusion that the PCA-Bootstrap-DEA model. This paper can provide reference for improving the understanding of the financial performance of the SSE company.
{"title":"The Empirical Analysis about Financial Performance of SSE Company Based on PCA-Bootstrap-DEA Model","authors":"Jiancai Yang, Yu-xue Wang","doi":"10.12783/dtcse/msam2020/34244","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34244","url":null,"abstract":"This paper analysis accounting indicators of all companies those trade in Shanghai Securities Exchange and explores the PCA method in order to solve the repetitiveness of information between indicators which caused by the excessive number of indicators and simplify the original indicator system structure. Then the outcomes of principal component becomes input-output indicator of the Bootstrap-DEA arithmetic. At last we obtain the “relative efficiency” of the financial performance of companies. We get the conclusion that the PCA-Bootstrap-DEA model. This paper can provide reference for improving the understanding of the financial performance of the SSE company.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88172187","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34236
Xu-xuan Chen, Z. Zeng
In vector control simulation, the MATLAB/Simulink model of the permanent magnet synchronous motor cannot fully simulate the inherent characteristics of the motor. It leads to problems such as reduced simulation accuracy and limited applicability of analysis results. In order to solve these problems, this paper designs a joint simulation model. This model is established based on the direct field-circuit coupling equation and the vector control strategy. It can take into account both the analysis of the electromagnetic characteristics of the motor and the analysis of the control circuit. This paper analyzes the speed, current and electromagnetic field distribution under different working conditions, and these simulation results show that the model is feasible.
{"title":"Research on Vector Control Simulation Based on Field-Road Coupling","authors":"Xu-xuan Chen, Z. Zeng","doi":"10.12783/dtcse/msam2020/34236","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34236","url":null,"abstract":"In vector control simulation, the MATLAB/Simulink model of the permanent magnet synchronous motor cannot fully simulate the inherent characteristics of the motor. It leads to problems such as reduced simulation accuracy and limited applicability of analysis results. In order to solve these problems, this paper designs a joint simulation model. This model is established based on the direct field-circuit coupling equation and the vector control strategy. It can take into account both the analysis of the electromagnetic characteristics of the motor and the analysis of the control circuit. This paper analyzes the speed, current and electromagnetic field distribution under different working conditions, and these simulation results show that the model is feasible.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81936231","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34241
Yan Zhang
A regression method based on data set classification is proposed in this paper, which can be used in the artificial intelligence NLP classification algorithm from SVM to SVR.
本文提出了一种基于数据集分类的回归方法，可用于从支持向量机到支持向量机的人工智能NLP分类算法。
{"title":"A Regression Method Based on Data Set Classification","authors":"Yan Zhang","doi":"10.12783/dtcse/msam2020/34241","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34241","url":null,"abstract":"A regression method based on data set classification is proposed in this paper, which can be used in the artificial intelligence NLP classification algorithm from SVM to SVR.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"68 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88954224","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 : 2020-05-03DOI: 10.12783/dtcse/msam2020/34219
R. Peng, Qingshan Chen, Xin Li, Kaili Chen
The pilot of long-term care insurance (LTCI) system is an important step for constructing a national wide LTCI system in China. Based on the 57 LTCI policies developed in 15 pilot areas in China, this paper evaluated the LTCI policies by building a PMC index model with 10 primary variables and 44 two-level variables. The results showed that the PMC index valued between 6.00 and 9.22. Qingdao city was the only area which had the highest level of policy strength among the pilot areas. The main policy inconsistency related to the following six aspects: the security population, the financing source, the care services, the security level and the conditions of security.
{"title":"Evaluating the Consistency of Long-term Care Insurance Policy Using PMC Index Model","authors":"R. Peng, Qingshan Chen, Xin Li, Kaili Chen","doi":"10.12783/dtcse/msam2020/34219","DOIUrl":"https://doi.org/10.12783/dtcse/msam2020/34219","url":null,"abstract":"The pilot of long-term care insurance (LTCI) system is an important step for constructing a national wide LTCI system in China. Based on the 57 LTCI policies developed in 15 pilot areas in China, this paper evaluated the LTCI policies by building a PMC index model with 10 primary variables and 44 two-level variables. The results showed that the PMC index valued between 6.00 and 9.22. Qingdao city was the only area which had the highest level of policy strength among the pilot areas. The main policy inconsistency related to the following six aspects: the security population, the financing source, the care services, the security level and the conditions of security.","PeriodicalId":11066,"journal":{"name":"DEStech Transactions on Computer Science and Engineering","volume":"212 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76155541","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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