Pub Date : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35052
K. Ye, Deng Xiangli, Xiongli Li, Gaozhen Wu, Huimi Zhu
{"title":"Fault Diagnosis Scheme Based on Grid Fault Degree Sample Data and AI Classification Method","authors":"K. Ye, Deng Xiangli, Xiongli Li, Gaozhen Wu, Huimi Zhu","doi":"10.12783/dtetr/mcaee2020/35052","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35052","url":null,"abstract":"","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87167049","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35106
Huijian Han, Ye Yang, Rui Zhang, Brekhna Brekhna
This paper comprehensively uses the fuzzy cognitive graph method and entropy weight method to dynamically assess the credit risk of Internet financial service platforms. First, a platform credit risk indicator system was constructed. Secondly, the genetic algorithm is used to learn the fuzzy cognitive graph weight matrix. Then, the fuzzy cognitive graph inference mechanism is used to predict the dynamic changes of the credit risk index and the stable state finally achieved. Finally, combined with the index weights calculated by the entropy weight method, the credit risks of the three online lending platforms are dynamically assessed. This paper realizes the dynamic assessment and prediction of Internet financial service platforms, and provides theoretical support for the credit risk of government supervision platforms.
{"title":"A Method for Dynamically Assessing Credit Risk of Internet Financial Service Platform","authors":"Huijian Han, Ye Yang, Rui Zhang, Brekhna Brekhna","doi":"10.12783/dtetr/mcaee2020/35106","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35106","url":null,"abstract":"This paper comprehensively uses the fuzzy cognitive graph method and entropy weight method to dynamically assess the credit risk of Internet financial service platforms. First, a platform credit risk indicator system was constructed. Secondly, the genetic algorithm is used to learn the fuzzy cognitive graph weight matrix. Then, the fuzzy cognitive graph inference mechanism is used to predict the dynamic changes of the credit risk index and the stable state finally achieved. Finally, combined with the index weights calculated by the entropy weight method, the credit risks of the three online lending platforms are dynamically assessed. This paper realizes the dynamic assessment and prediction of Internet financial service platforms, and provides theoretical support for the credit risk of government supervision platforms.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89131065","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35027
Changqun Li, Zhongmin Pei, Li Li, Zhangkai Luo, Da Peng
In this paper, to further improve the matching accuracy of text semantic matching, which is based on BERT (Bidirectional Encoder Representations from Transformers) fine-tuning, we propose a novel model, which is combine BERT and Attention-Based Bidirectional Long Short-Term Memory Networks (BERT+BiLSTM_Attention). Indeed, outputs of the BERT are further given as inputs of the Bidirectional Long Short-Term Memory Networks (BiLSTM), after that the attention mechanism is further used to capture the needed interactive information and attend those informative words that have a significant impact on semantics. In order to optimize the model, the piecewise constant decay strategy is adopted to control the learning rate. In addition, the weights of BERT are updated to make our model more suitable to the downstream tasks. Finally, experimental results demonstrate that the accuracy of the proposed model is better than LSTM-DSSM model 7.1% in a large-scale Chinese question matching corpus. And 0.12 points higher than BERT based direct fine-tuning.
为了进一步提高基于BERT (Bidirectional Encoder Representations from Transformers)调整的文本语义匹配的匹配精度，本文提出了一种BERT与基于注意力的双向长短期记忆网络(BERT+BiLSTM_Attention)相结合的新模型。事实上，BERT的输出进一步作为双向长短期记忆网络(BiLSTM)的输入，然后进一步使用注意机制来捕获所需的交互信息，并注意那些对语义有重大影响的信息词。为了优化模型，采用分段常数衰减策略控制学习速率。此外，我们还更新了BERT的权值，使我们的模型更适合下游任务。最后，实验结果表明，在大规模汉语问题匹配语料库中，该模型的准确率比LSTM-DSSM模型提高了7.1%。比基于BERT的直接微调高0.12分。
{"title":"Research on Chinese Text Semantic Matching Base on BERT and BiLSTM_Attention","authors":"Changqun Li, Zhongmin Pei, Li Li, Zhangkai Luo, Da Peng","doi":"10.12783/dtetr/mcaee2020/35027","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35027","url":null,"abstract":"In this paper, to further improve the matching accuracy of text semantic matching, which is based on BERT (Bidirectional Encoder Representations from Transformers) fine-tuning, we propose a novel model, which is combine BERT and Attention-Based Bidirectional Long Short-Term Memory Networks (BERT+BiLSTM_Attention). Indeed, outputs of the BERT are further given as inputs of the Bidirectional Long Short-Term Memory Networks (BiLSTM), after that the attention mechanism is further used to capture the needed interactive information and attend those informative words that have a significant impact on semantics. In order to optimize the model, the piecewise constant decay strategy is adopted to control the learning rate. In addition, the weights of BERT are updated to make our model more suitable to the downstream tasks. Finally, experimental results demonstrate that the accuracy of the proposed model is better than LSTM-DSSM model 7.1% in a large-scale Chinese question matching corpus. And 0.12 points higher than BERT based direct fine-tuning.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77202105","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35105
Yuting Zhang, Y. Zong
Since the reform and opening up, China has made full use of the advantages of the demographic dividend in the process of demographic transition, and achieved rapid economic development. However, since 2012, China's demographic dividend has gradually disappeared, and the attraction of foreign direct investment in labor-intensive industries has greatly decreased. In addition, the industrial structure is unreasonable, and the gap of regional development is widening. A series of problems have followed in the process of changing the age structure of the population.
{"title":"China's \"Demographic Dividend\" and the Transformation of Foreign Direct Investment","authors":"Yuting Zhang, Y. Zong","doi":"10.12783/dtetr/mcaee2020/35105","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35105","url":null,"abstract":"Since the reform and opening up, China has made full use of the advantages of the demographic dividend in the process of demographic transition, and achieved rapid economic development. However, since 2012, China's demographic dividend has gradually disappeared, and the attraction of foreign direct investment in labor-intensive industries has greatly decreased. In addition, the industrial structure is unreasonable, and the gap of regional development is widening. A series of problems have followed in the process of changing the age structure of the population.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80029489","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}
The purpose of this research was to explore possible relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The hypothesis for this research was: There was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The method employed quantitative research method in conducting this study was measure the use of Intelligent System in various manufacturing organizations and provided an overview of the method of Intelligent System use in manufacturing organizations’ service performances. The research participants were 50 owners/managers in manufacturing organizations. The Spearman Rank Correlation Coefficient and descriptive statistics were used to test the research hypothesis. Research result supported the research hypothesis that there was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. Research result also indicated that this relationship between the Intelligent System usage and the service performance was positive.
{"title":"Intelligent System Usages and Service Performance for Manufacturing Organization","authors":"Feng-Hsiung Hou, Chunyuan Wang, Jiajiun Shu, Chun-Tzu Chen","doi":"10.12783/dtetr/mcaee2020/35037","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35037","url":null,"abstract":"The purpose of this research was to explore possible relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The hypothesis for this research was: There was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. The method employed quantitative research method in conducting this study was measure the use of Intelligent System in various manufacturing organizations and provided an overview of the method of Intelligent System use in manufacturing organizations’ service performances. The research participants were 50 owners/managers in manufacturing organizations. The Spearman Rank Correlation Coefficient and descriptive statistics were used to test the research hypothesis. Research result supported the research hypothesis that there was a significant relationship between the Intelligent System usage and the service performance in the manufacturing organizations. Research result also indicated that this relationship between the Intelligent System usage and the service performance was positive.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"31 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90186765","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35048
Changlin Yang, Zhenglin Li, Yang Peng, Guangsong Yang
Intelligent Transport System (ITS) has been widely used in our life. A traffic path planning method based on VANET (Vehicular Ad Hoc Network) is proposed, which considers the path length and congestion comprehensively, uses ant colony algorithm to find an optimal path with the shortest delay, redesigns the pheromone update and heuristic function, dynamic adjusts evaporation rate to avoid the old information and reduce the re exploration of the visited path, in order to speed up the convergence speed and expand the search space. Simulation results show that this method can avoid congestion path, shorten path search time, and ensure the effectiveness of the path.
智能交通系统(ITS)在我们的生活中得到了广泛的应用。提出了一种基于VANET (Vehicular Ad Hoc Network)的交通路径规划方法，综合考虑路径长度和拥塞，采用蚁群算法寻找时延最短的最优路径，重新设计信息素更新和启发式功能，动态调整蒸发速率以避免旧信息，减少对已访问路径的重新探索，从而加快收敛速度，扩大搜索空间。仿真结果表明，该方法可以避免路径拥塞，缩短路径搜索时间，保证路径的有效性。
{"title":"Traffic Path Planning Method Based on VANET and Ant Colony Algorithm","authors":"Changlin Yang, Zhenglin Li, Yang Peng, Guangsong Yang","doi":"10.12783/dtetr/mcaee2020/35048","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35048","url":null,"abstract":"Intelligent Transport System (ITS) has been widely used in our life. A traffic path planning method based on VANET (Vehicular Ad Hoc Network) is proposed, which considers the path length and congestion comprehensively, uses ant colony algorithm to find an optimal path with the shortest delay, redesigns the pheromone update and heuristic function, dynamic adjusts evaporation rate to avoid the old information and reduce the re exploration of the visited path, in order to speed up the convergence speed and expand the search space. Simulation results show that this method can avoid congestion path, shorten path search time, and ensure the effectiveness of the path.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"46 45 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85221132","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35063
Zheng Liu, Fu’an Sun, Pengfei Lv
The characteristic of double-channels tracking are with simple equipment, and high reliability. So it is applied to wide range in spaceflight testing & controlling system. AGC, time constant and sub & sum channel phase, has enormous influence on the function of double-channel tracking. When AGC the signal was chose inappropriate, the amplitude of double-channels channel signal will be in distortion. The sub signal will be damaged when double-channels channel signal and the differential & sum channel phase are not the same. And the modulation degree of double-channels signal will be decreased. Through analysis the basis of AGC time constant and the influence that differential & sum channel phase on double-channels tracking performance. It gives the principle and experienced dates for choosing AGC time constant, and it also introduces the methods and features of phase correction.
{"title":"Double-Channel Tracking Performance Study in Spaceflight Testing & Controlling","authors":"Zheng Liu, Fu’an Sun, Pengfei Lv","doi":"10.12783/dtetr/mcaee2020/35063","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35063","url":null,"abstract":"The characteristic of double-channels tracking are with simple equipment, and high reliability. So it is applied to wide range in spaceflight testing & controlling system. AGC, time constant and sub & sum channel phase, has enormous influence on the function of double-channel tracking. When AGC the signal was chose inappropriate, the amplitude of double-channels channel signal will be in distortion. The sub signal will be damaged when double-channels channel signal and the differential & sum channel phase are not the same. And the modulation degree of double-channels signal will be decreased. Through analysis the basis of AGC time constant and the influence that differential & sum channel phase on double-channels tracking performance. It gives the principle and experienced dates for choosing AGC time constant, and it also introduces the methods and features of phase correction.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"62 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83990593","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35032
Xiuying Tang, Chao Tan, Zheyu Chu, Bin Cheng
Fresh agricultural products and rare Chinese medicinal materials have certain requirements on the temperature of cold storage in the store. In view of this problem, this paper designs a cold storage monitoring device to ensure the quality of fresh products, and solve the energy consumption in cold storage. The device includes temperature sensor, controller, alarm device, liquid crystal display, refrigeration unit and so on. Three aspects including control structure, air change device, refrigerant module are designed. This design can increase the refrigeration time of refrigerated items and the edible taste of food refrigerated items, reduce cooling energy consumption, it can be widely used in fresh products, Chinese medicinal materials, vegetables and fruits frozen preservation.
{"title":"One Monitoring Device Design for Cold Storage Based on Energy Saving","authors":"Xiuying Tang, Chao Tan, Zheyu Chu, Bin Cheng","doi":"10.12783/dtetr/mcaee2020/35032","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35032","url":null,"abstract":"Fresh agricultural products and rare Chinese medicinal materials have certain requirements on the temperature of cold storage in the store. In view of this problem, this paper designs a cold storage monitoring device to ensure the quality of fresh products, and solve the energy consumption in cold storage. The device includes temperature sensor, controller, alarm device, liquid crystal display, refrigeration unit and so on. Three aspects including control structure, air change device, refrigerant module are designed. This design can increase the refrigeration time of refrigerated items and the edible taste of food refrigerated items, reduce cooling energy consumption, it can be widely used in fresh products, Chinese medicinal materials, vegetables and fruits frozen preservation.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88775864","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 : 2020-10-06DOI: 10.12783/dtetr/mcaee2020/35019
Xiaodong Zhang, P. Li, Wei Wu, Q. Liu
With completing of the Railway Data Service Platform (RDSP), the railway industry has a better big data foundation. The railway industry faces difficulties in applying and promoting of artificial intelligence. Corroborating the batch data and real-time data, an intelligent corroborative analysis and learning method is constructed. Based on the storage and computing abilities of RDSP, the general artificial intelligence algorithms are embedded. Three types of railway data analysis model units are reconstructed. Try to realize the visualization and interaction of railway business modeling, which can simplify the data analysis. Based on the knowledge structure level of the railway business staff, the data analysis interaction types are designed to different models. Design and set up the prototype of Interactive Intelligent Analysis Platform based on Railway Big Data. The prototype platform improves the capacities of automatic learning from data knowledge and ensures the validity and timeliness of the data analysis.
{"title":"Research on Interactive Modeling and Intelligent Analysis Platform Based on Railway Big Data","authors":"Xiaodong Zhang, P. Li, Wei Wu, Q. Liu","doi":"10.12783/dtetr/mcaee2020/35019","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35019","url":null,"abstract":"With completing of the Railway Data Service Platform (RDSP), the railway industry has a better big data foundation. The railway industry faces difficulties in applying and promoting of artificial intelligence. Corroborating the batch data and real-time data, an intelligent corroborative analysis and learning method is constructed. Based on the storage and computing abilities of RDSP, the general artificial intelligence algorithms are embedded. Three types of railway data analysis model units are reconstructed. Try to realize the visualization and interaction of railway business modeling, which can simplify the data analysis. Based on the knowledge structure level of the railway business staff, the data analysis interaction types are designed to different models. Design and set up the prototype of Interactive Intelligent Analysis Platform based on Railway Big Data. The prototype platform improves the capacities of automatic learning from data knowledge and ensures the validity and timeliness of the data analysis.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"77 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84899906","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}
In order to stimulate residents savings and realize the balance of savings-investment, this paper selected the data of household savings in China's household finance survey as the main research object of the Behavior Classification Model, and mainly investigated the investment behavior, household consumption and other factors as the constraints of household savings decision-making. The establishment of RF Model for decision classification prediction and feature extraction, improve the interpretability of behavioral differences and high prediction rate, and further analyze the correlation between savings-investment balance and social value cycle with Solow Model, provide a new thinking line for the improvement of regional economy, and then put forward targeted suggestions and strive to bring about better social effects.
{"title":"Classification Model of Household Saving Behavior Based on RF","authors":"Jiayan Tang, Linqi He, Jing Cao, Yuxi Li, Cichun Liao, Zirong Ji, Qiahong Peng, Yan-qiong Zhou","doi":"10.12783/dtetr/mcaee2020/35090","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35090","url":null,"abstract":"In order to stimulate residents savings and realize the balance of savings-investment, this paper selected the data of household savings in China's household finance survey as the main research object of the Behavior Classification Model, and mainly investigated the investment behavior, household consumption and other factors as the constraints of household savings decision-making. The establishment of RF Model for decision classification prediction and feature extraction, improve the interpretability of behavioral differences and high prediction rate, and further analyze the correlation between savings-investment balance and social value cycle with Solow Model, provide a new thinking line for the improvement of regional economy, and then put forward targeted suggestions and strive to bring about better social effects.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85153932","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：