With widely application of energy storage technology in power system, the function and configuration method of energy storage system (ESS)in different scenarios have become the focus. In the grid side, energy storage can participate in safety accident response, power grid frequency control, peak shaving, power grid upgrading delay and easing transmission line congestion, etc. In the power supply side it is mainly used to improve the power supply flexibility and controllability; In the user side it is mainly used to improve power quality, arbitrage through peak valley, as well as providing uninterrupted power supply to ensure reliability. Due to different application conditions and purpose under different scenarios, energy storage configuration requirements are also vary. So it leads to various configuration method and lack of a unified evaluation index. In this paper, the existing optimization configuration method their respective advantages and disadvantages are analyzed, and then, the ideas, principles and basic evaluation index in common scenario are summarized. It provides reference basis for energy storage optimization in power system.
{"title":"Review of Optimal Allocation Methods of Energy Storage in Different Applications of Power System","authors":"Quanquan Wang, Guojing Liu, Bingyu Sang, Chen Zhou, Qun Zhang","doi":"10.12783/dtetr/mcaee2020/35060","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35060","url":null,"abstract":"With widely application of energy storage technology in power system, the function and configuration method of energy storage system (ESS)in different scenarios have become the focus. In the grid side, energy storage can participate in safety accident response, power grid frequency control, peak shaving, power grid upgrading delay and easing transmission line congestion, etc. In the power supply side it is mainly used to improve the power supply flexibility and controllability; In the user side it is mainly used to improve power quality, arbitrage through peak valley, as well as providing uninterrupted power supply to ensure reliability. Due to different application conditions and purpose under different scenarios, energy storage configuration requirements are also vary. So it leads to various configuration method and lack of a unified evaluation index. In this paper, the existing optimization configuration method their respective advantages and disadvantages are analyzed, and then, the ideas, principles and basic evaluation index in common scenario are summarized. It provides reference basis for energy storage optimization in power system.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89805641","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/mcaee2020/35057
Zhenzhou An, Jun Zhang, Yang Yang, Xiaoyan Wang
This paper presents a modified particle swarm optimization, named as punctuated-equilibrium particle swarm optimization (PEPSO). This method refers to punctuated-equilibrium Model (PEM) which is a pattern of group development in organizational behavior. PEM uses the long-term equilibrium phase and the short-term abrupt phase to solve the problem of group stagnation. The present work mathematically modelled this alternating process. The efficiency of the proposed PEPSO was evaluated using CEC 2014 benchmark functions. The experiments showed that PEPSO could solve premature convergence and had more good convergence accuracy than PSO on some test functions. Furthermore, it was also confirmed that the swarm was divided into different groups and the individuals of every group almost acted in unison. This provides a good explanation between PSO and organizational behavior from a new experimental perspective.
{"title":"Particle Swarm Optimization Based on Punctuated-equilibrium Model","authors":"Zhenzhou An, Jun Zhang, Yang Yang, Xiaoyan Wang","doi":"10.12783/dtetr/mcaee2020/35057","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35057","url":null,"abstract":"This paper presents a modified particle swarm optimization, named as punctuated-equilibrium particle swarm optimization (PEPSO). This method refers to punctuated-equilibrium Model (PEM) which is a pattern of group development in organizational behavior. PEM uses the long-term equilibrium phase and the short-term abrupt phase to solve the problem of group stagnation. The present work mathematically modelled this alternating process. The efficiency of the proposed PEPSO was evaluated using CEC 2014 benchmark functions. The experiments showed that PEPSO could solve premature convergence and had more good convergence accuracy than PSO on some test functions. Furthermore, it was also confirmed that the swarm was divided into different groups and the individuals of every group almost acted in unison. This provides a good explanation between PSO and organizational behavior from a new experimental perspective.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90907151","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/mcaee2020/35059
Sang Bingyu, Bo Yang, Deshun Wang, Guanjun Li
With constantly increased penetration of new energy power generation such as wind and pv, it has imposed the challenges on operation and control of power systems due to power fluctuations. In order to reduce the influences, an optimal allocation method of energy storage considering probability distribution of new energy fluctuation is proposed. The probability distribution characteristics of different time-scale power fluctuations of new energy power are obtained by probability statistics. According to the probability distribution characteristics and fluctuation index, a probability indicator calculation model which contains time-scale and fluctuation amplitude is set up. The model is then solved by iterative calculations to get minimum compensation power of the required energy storage. Thus, its rated power, capacity and initial state of charge are calculated. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power already satisfied. Through calculation and analysis using the data measured from a 50MW photovoltaic power station, the method is proved to be correct and effective.
{"title":"Optimal Allocation Method of Energy Storage Considering Probability Distribution of New Energy Power Fluctuation","authors":"Sang Bingyu, Bo Yang, Deshun Wang, Guanjun Li","doi":"10.12783/dtetr/mcaee2020/35059","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35059","url":null,"abstract":"With constantly increased penetration of new energy power generation such as wind and pv, it has imposed the challenges on operation and control of power systems due to power fluctuations. In order to reduce the influences, an optimal allocation method of energy storage considering probability distribution of new energy fluctuation is proposed. The probability distribution characteristics of different time-scale power fluctuations of new energy power are obtained by probability statistics. According to the probability distribution characteristics and fluctuation index, a probability indicator calculation model which contains time-scale and fluctuation amplitude is set up. The model is then solved by iterative calculations to get minimum compensation power of the required energy storage. Thus, its rated power, capacity and initial state of charge are calculated. This method only compensates the fluctuated power that does not meet the fluctuation index, and has no impact on the power already satisfied. Through calculation and analysis using the data measured from a 50MW photovoltaic power station, the method is proved to be correct and effective.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78455050","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}
Based on the structure of the active arm type torsion suspension, this paper proposes an optimal control algorithm for the damping force of the vane damper which integrates the road surface information. Firstly, the structural characteristics and working principle of the active arm-type torsional suspension and vane damper are introduced. Then, the mathematical model of the damper and suspension system is proposed, and the dynamic characteristics of the arm suspension system are analyzed. Finally, based on the fuzzy PID control algorithm, a system simulation model based on road surface information is built. The simulation results show that the control strategy of the vane damper can improve the ride comfort of the suspension.
{"title":"Simulation Research on Damping Control of Vane Damper in Active Arm-Type Torsion Suspension","authors":"Jia-Jang Wu, Chengleng Han, Renxu Zhang, Hongyang Zang, Zhe Hou, Lin Xu","doi":"10.12783/dtetr/mcaee2020/35050","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35050","url":null,"abstract":"Based on the structure of the active arm type torsion suspension, this paper proposes an optimal control algorithm for the damping force of the vane damper which integrates the road surface information. Firstly, the structural characteristics and working principle of the active arm-type torsional suspension and vane damper are introduced. Then, the mathematical model of the damper and suspension system is proposed, and the dynamic characteristics of the arm suspension system are analyzed. Finally, based on the fuzzy PID control algorithm, a system simulation model based on road surface information is built. The simulation results show that the control strategy of the vane damper can improve the ride comfort of the suspension.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75530415","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/mcaee2020/35015
Kaiguo Xia, Lei Hu, Pengqiang Mao
In recent years, deep learning has developed rapidly in the field of image recognition, which provides a new idea for the reconstruction of compressed sensing. The new method based on deep learning can measures the correlation between the measurement signal and the original signal through network , which not only has high reconstruction accuracy, but also significantly reduces the time consuming, showing the great potential of deep learning in the field of compressed sensing reconstruction. This paper sorts out the current image compressed sensing reconstruction methods based on deep learning, analyzes the characteristics and key steps of the algorithm according to three different deep network structures, and finally looks forward to the development direction of compressed sensing reconstruction based on deep learning.
{"title":"A Review of Image Compressed Sensing in Deep Learning","authors":"Kaiguo Xia, Lei Hu, Pengqiang Mao","doi":"10.12783/dtetr/mcaee2020/35015","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35015","url":null,"abstract":"In recent years, deep learning has developed rapidly in the field of image recognition, which provides a new idea for the reconstruction of compressed sensing. The new method based on deep learning can measures the correlation between the measurement signal and the original signal through network , which not only has high reconstruction accuracy, but also significantly reduces the time consuming, showing the great potential of deep learning in the field of compressed sensing reconstruction. This paper sorts out the current image compressed sensing reconstruction methods based on deep learning, analyzes the characteristics and key steps of the algorithm according to three different deep network structures, and finally looks forward to the development direction of compressed sensing reconstruction based on deep learning.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86708737","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/mcaee2020/35039
Dongyao Wei, Li Weilong, M. Hea, Z. Ren
In this study, we fabricate the carbon nanotubes (CNTs) on different metal substrates via a simple and economic growing process by using a spraying device to inject the catalyst into the reaction chamber. The microstructure and field emission properties of the CNTs grown by three different metal substrates are researched. The results show that the CNTs grown on the high-voltage aluminum alloy substrate have optimal field emission properties. The turn-on electric field and threshold electric field is 0.92 V/μm and 2.58 V/μm respectively and the field enhancement factor is 20930. Lastly, the field emission current stability of the CNTs is tested, finding the field emission current of the CNTs grown on the high-voltage aluminum alloy substrate is the stablest. The high current density and good stability demonstrate that the CNTs grown on the high-voltage aluminum alloy substrate could be the promising and highly efficient field electron emitters.
{"title":"Study on Field Emission Properties of Carbon Nanotubes Grown on Different Metal Substrates","authors":"Dongyao Wei, Li Weilong, M. Hea, Z. Ren","doi":"10.12783/dtetr/mcaee2020/35039","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35039","url":null,"abstract":"In this study, we fabricate the carbon nanotubes (CNTs) on different metal substrates via a simple and economic growing process by using a spraying device to inject the catalyst into the reaction chamber. The microstructure and field emission properties of the CNTs grown by three different metal substrates are researched. The results show that the CNTs grown on the high-voltage aluminum alloy substrate have optimal field emission properties. The turn-on electric field and threshold electric field is 0.92 V/μm and 2.58 V/μm respectively and the field enhancement factor is 20930. Lastly, the field emission current stability of the CNTs is tested, finding the field emission current of the CNTs grown on the high-voltage aluminum alloy substrate is the stablest. The high current density and good stability demonstrate that the CNTs grown on the high-voltage aluminum alloy substrate could be the promising and highly efficient field electron emitters.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"216 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77297070","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/mcaee2020/35064
Jun Li, Yi Chen
There is a relative contradiction between the stiffness requirement and the size and weight of the lens roll-pin flexible support structure. Aim to solve this contradiction, the mechanical model of the roll-pin flexible element was established, and the radial and tangential stiffness of the roll-pin flexible element were theoretically deduced and verified by finite element method by using cartesian theorem. Then, based on the stiffness formula, the optimization design model with geometric configuration parameters was constructed, and the optimization design model was applied to a lens with a diameter of 400mm. The results showed that the simulation was basically consistent with the theoretical design. Finally, based on the optimized design, the improved design of the circular roll-pin flexible structure was carried out and the finite element analysis was completed. The results show that the weight of the improved design is reduced by 10%, the maximum contact stress is reduced by 10%.
{"title":"Optimization Design of Lens Roll-Pin Flexible Support Structure","authors":"Jun Li, Yi Chen","doi":"10.12783/dtetr/mcaee2020/35064","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35064","url":null,"abstract":"There is a relative contradiction between the stiffness requirement and the size and weight of the lens roll-pin flexible support structure. Aim to solve this contradiction, the mechanical model of the roll-pin flexible element was established, and the radial and tangential stiffness of the roll-pin flexible element were theoretically deduced and verified by finite element method by using cartesian theorem. Then, based on the stiffness formula, the optimization design model with geometric configuration parameters was constructed, and the optimization design model was applied to a lens with a diameter of 400mm. The results showed that the simulation was basically consistent with the theoretical design. Finally, based on the optimized design, the improved design of the circular roll-pin flexible structure was carried out and the finite element analysis was completed. The results show that the weight of the improved design is reduced by 10%, the maximum contact stress is reduced by 10%.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77657481","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/mcaee2020/35095
Tian Yu, Kai Liu, Tao Sun
The risk budgeting approach has been applied to manage and monitor the portfolio risk of large and sophisticated institutional investors. How to decide proper parameters to obtain the optimal or near-optimal solutions for the risk budgeting approach is a problem. In this paper, a risk budgeting approach improved by genetic algorithms is proposed. Experiment results on real financial data demonstrate that, compared with some traditional methods, the proposed algorithm is capable of generating a set of parameters which can attain near-optimal return on investment with high probability and computational complexity of searching process also has been reduced.
{"title":"A Risk Budgeting Approach Improved by Genetic Algorithms","authors":"Tian Yu, Kai Liu, Tao Sun","doi":"10.12783/dtetr/mcaee2020/35095","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35095","url":null,"abstract":"The risk budgeting approach has been applied to manage and monitor the portfolio risk of large and sophisticated institutional investors. How to decide proper parameters to obtain the optimal or near-optimal solutions for the risk budgeting approach is a problem. In this paper, a risk budgeting approach improved by genetic algorithms is proposed. Experiment results on real financial data demonstrate that, compared with some traditional methods, the proposed algorithm is capable of generating a set of parameters which can attain near-optimal return on investment with high probability and computational complexity of searching process also has been reduced.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"245 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91446979","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/mcaee2020/35053
Endrick Barnacin, Jean-Luc Henry, J. Molinie, Jimmy Nagau, H. Delatte, G. Lebreton
. Identifying all the pollen species present on earth, and more particularly in a territory, is a major concern for palynologists. This is an arduous task that can be automated using artificial intelligence. Many studies have tried to solve this problem by using machine learning and deep learning. In this paper, we present three pollen recognition approaches: Classification with no examples, recognition with a sufficient number of examples, recognition with un-sufficient number of examples. For each of them, we propose respectively to use Visual Bag of Word and expectation-maximization clustering algorithms, Classification using Local Binary patterns and the Gabor Filter Feature, Local Binary Patterns and Prototypical Networks. We find 77,38% recognition for 10 pollen species rate for the first one, 90.80 % for training with a sufficient number of examples and 80 species, and 20 different pollen species and finally 84,30% for the third approach with one example for training and 20 species.
． 识别地球上存在的所有花粉种类，特别是在一个地区，是孢粉学家的主要关注点。这是一项艰巨的任务，可以通过人工智能实现自动化。许多研究试图通过使用机器学习和深度学习来解决这个问题。本文提出了三种花粉识别方法:无样例分类、充分样例识别和不足样例识别。对于这两种算法，我们分别提出使用Visual Bag of Word和期望最大化聚类算法、使用局部二值模式和Gabor滤波器特征进行分类、使用局部二值模式和原型网络。结果表明，第一种方法对10种花粉的识别率为77.38%，训练样本数量充足、80种花粉的识别率为90.80%，训练样本数量充足、20种花粉的识别率为90.80%，训练样本数量充足、20种花粉的识别率为84.30%。
{"title":"On the Road of Automated Pollen Recognition","authors":"Endrick Barnacin, Jean-Luc Henry, J. Molinie, Jimmy Nagau, H. Delatte, G. Lebreton","doi":"10.12783/dtetr/mcaee2020/35053","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35053","url":null,"abstract":". Identifying all the pollen species present on earth, and more particularly in a territory, is a major concern for palynologists. This is an arduous task that can be automated using artificial intelligence. Many studies have tried to solve this problem by using machine learning and deep learning. In this paper, we present three pollen recognition approaches: Classification with no examples, recognition with a sufficient number of examples, recognition with un-sufficient number of examples. For each of them, we propose respectively to use Visual Bag of Word and expectation-maximization clustering algorithms, Classification using Local Binary patterns and the Gabor Filter Feature, Local Binary Patterns and Prototypical Networks. We find 77,38% recognition for 10 pollen species rate for the first one, 90.80 % for training with a sufficient number of examples and 80 species, and 20 different pollen species and finally 84,30% for the third approach with one example for training and 20 species.","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86953945","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/mcaee2020/35099
Jian Tang, Tong Qin, Rui Chen
Under the new economic situation, China's industrial structure was in a period of adjustment and transformation. This paper investigated the current status of the industrial economy and industrial structure of Liudong New Area, and derived the problems of traditional automobile industry transformation, emerging industry cultivation, and service industry optimization, which need to be resolved. Finally, the development strategies such as the extension of the automobile industry chain, driving related emerging industries, optimizing the ecological environments of funds-talents-technology were proposed, also adopting the "governmentResearch-Enterprise linkage" working model to promote the industrial transformation of the "trillion-city action plan".
{"title":"Research on the Industrial Economy and Transformation Strategy of Liudong New Area","authors":"Jian Tang, Tong Qin, Rui Chen","doi":"10.12783/dtetr/mcaee2020/35099","DOIUrl":"https://doi.org/10.12783/dtetr/mcaee2020/35099","url":null,"abstract":"Under the new economic situation, China's industrial structure was in a period of adjustment and transformation. This paper investigated the current status of the industrial economy and industrial structure of Liudong New Area, and derived the problems of traditional automobile industry transformation, emerging industry cultivation, and service industry optimization, which need to be resolved. Finally, the development strategies such as the extension of the automobile industry chain, driving related emerging industries, optimizing the ecological environments of funds-talents-technology were proposed, also adopting the \"governmentResearch-Enterprise linkage\" working model to promote the industrial transformation of the \"trillion-city action plan\".","PeriodicalId":11264,"journal":{"name":"DEStech Transactions on Engineering and Technology Research","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87752282","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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