Yin Zuoming, Wang Desheng, Gao Zhaoshuai, Liang Shuchang
Urban shallow buried tunnel excavated in mining method may produce a bad effect on constructions by blast-induced vibration, especially for the tunnel in complex environment. Based on Beijing metro line16 engineering which is beneath the gas pipeline, in soil and rocks mixing zone, close to buildings, comparative analysis was done between the blast-induced vibration velocity predicted by Sardolfski formula and normal back propagation neural network(BP-NN). The research shows that the average predict error of Sardolfski formula is larger than that of BP-NN because of influences of medium for seismic wave propagation, blasting technology and surrounding rock properties. Even though the BP-NN has a higher prediction accuracy, it can not meet the needs of precision blasting control. A new dynamic prediction model with local feedback characteristics called Elman neural network(Elman-NN) is proposed based on field data analysis. The prediction particle velocity accuracy of Elman-NN results is improved by 9.1 percentage. Therefore, the Elman-NN has profound guiding significance on urban shallow buried tunnel excavated safety and efficient.
{"title":"Prediction and Analysis of Blast-Induced Vibration for Urban Shallow Buried Tunnel Using Various Types of Artificial Neural Networks","authors":"Yin Zuoming, Wang Desheng, Gao Zhaoshuai, Liang Shuchang","doi":"10.1109/ICICTA.2015.163","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.163","url":null,"abstract":"Urban shallow buried tunnel excavated in mining method may produce a bad effect on constructions by blast-induced vibration, especially for the tunnel in complex environment. Based on Beijing metro line16 engineering which is beneath the gas pipeline, in soil and rocks mixing zone, close to buildings, comparative analysis was done between the blast-induced vibration velocity predicted by Sardolfski formula and normal back propagation neural network(BP-NN). The research shows that the average predict error of Sardolfski formula is larger than that of BP-NN because of influences of medium for seismic wave propagation, blasting technology and surrounding rock properties. Even though the BP-NN has a higher prediction accuracy, it can not meet the needs of precision blasting control. A new dynamic prediction model with local feedback characteristics called Elman neural network(Elman-NN) is proposed based on field data analysis. The prediction particle velocity accuracy of Elman-NN results is improved by 9.1 percentage. Therefore, the Elman-NN has profound guiding significance on urban shallow buried tunnel excavated safety and efficient.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123627954","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 the context of the digital information era, the 2D models with the major expression means of the traditional computer graphics software, such as Auto CAD, have become less and less able to meet the demands on interior design of large construction projects with complex geometry. In combination with the application of the BIM technology at the stage of design, construction design and anaphase project management of interior projects, BIM's strengths and its problems exposed at present were summarized to explore how this new technology can better serve specific interior projects and how practitioners should meet the changes brought by information technology in the industry.
{"title":"Research on the Application of BIM Model in Interior Design","authors":"Huang Weiyan, Yang Peng","doi":"10.1109/ICICTA.2015.195","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.195","url":null,"abstract":"In the context of the digital information era, the 2D models with the major expression means of the traditional computer graphics software, such as Auto CAD, have become less and less able to meet the demands on interior design of large construction projects with complex geometry. In combination with the application of the BIM technology at the stage of design, construction design and anaphase project management of interior projects, BIM's strengths and its problems exposed at present were summarized to explore how this new technology can better serve specific interior projects and how practitioners should meet the changes brought by information technology in the industry.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630016","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}
Development of neural network provided new thought for nonlinear system identification. RBF neural network was widely studied in nonlinear system identification by good approximation ability and fast convergence thereof. In the paper, RBF neural network based on PSO algorithm was proposed, global searching property of PSO algorithm was utilized for remedying RBF local approximation, initial weights of RBF neural network and the base width were globally optimized, insufficiency in RBF neural network random initialization weights and base width was remedied, and identification precision of RBF neural network on nonlinear system was improved aiming at problems of RBF neutral network in nonlinear system identification application, such as local approximation and base width random initialization. The simulation results showed that RBF neural network based on PSO algorithm, proposed in the paper, had prominently better identification precision on nonlinear system than identification of RBF neural network based on GA algorithm and the traditional RBF neural network, and it had great significance on identification of nonlinear systems.
{"title":"Study of RBF Neural Network Based on PSO Algorithm in Nonlinear System Identification","authors":"Ye Guoqiang, L. Weiguang, Wang Hao","doi":"10.1109/ICICTA.2015.217","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.217","url":null,"abstract":"Development of neural network provided new thought for nonlinear system identification. RBF neural network was widely studied in nonlinear system identification by good approximation ability and fast convergence thereof. In the paper, RBF neural network based on PSO algorithm was proposed, global searching property of PSO algorithm was utilized for remedying RBF local approximation, initial weights of RBF neural network and the base width were globally optimized, insufficiency in RBF neural network random initialization weights and base width was remedied, and identification precision of RBF neural network on nonlinear system was improved aiming at problems of RBF neutral network in nonlinear system identification application, such as local approximation and base width random initialization. The simulation results showed that RBF neural network based on PSO algorithm, proposed in the paper, had prominently better identification precision on nonlinear system than identification of RBF neural network based on GA algorithm and the traditional RBF neural network, and it had great significance on identification of nonlinear systems.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126006499","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}
Pore size distribution is the key factor of the nonwoven geotextiles for various functions including filtration, separation and reinforcement. The comparison of pore size distributions of spunbond-needle punched nonwoven geotextiles has been made among the theoretical, experimental and the virtual study based on a stochastic simulation. Moreover, the influence of fiber diameter, solid volume fraction, and the thickness of the nonwoven geotextiles on the pore size distribution of the nonwoven geotextiles has been investigated. It is demonstrated that the pore size distribution, which obtained using Geodict® based on a stochastic simulation, shows a good agreement with experimental data and theoretical, and it is feasible for the prediction of pore size distribution in spunbond-needle punched nonwoven geotextiles. The results show that increasing the solid volume fraction would decrease the pore size of the nonwoven geotextiles under the same filament diameter and same thickness of the webs. Increasing fiber diameter would cause the pore size decreasing, while thickness and solid volume fraction kept constant also found. The results also show that the pore size decreasing with the thickness of the nonwoven geotextiles increasing, while the constant of the solid volume fraction and filaments diameter.
{"title":"Prediction of the Pore Size Distribution in Spunbond-Needlepunched Nonwoven Geotextiles Based on a Stochastic Simulation","authors":"Z. Heng, Qian Xiaoming","doi":"10.1109/ICICTA.2015.166","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.166","url":null,"abstract":"Pore size distribution is the key factor of the nonwoven geotextiles for various functions including filtration, separation and reinforcement. The comparison of pore size distributions of spunbond-needle punched nonwoven geotextiles has been made among the theoretical, experimental and the virtual study based on a stochastic simulation. Moreover, the influence of fiber diameter, solid volume fraction, and the thickness of the nonwoven geotextiles on the pore size distribution of the nonwoven geotextiles has been investigated. It is demonstrated that the pore size distribution, which obtained using Geodict® based on a stochastic simulation, shows a good agreement with experimental data and theoretical, and it is feasible for the prediction of pore size distribution in spunbond-needle punched nonwoven geotextiles. The results show that increasing the solid volume fraction would decrease the pore size of the nonwoven geotextiles under the same filament diameter and same thickness of the webs. Increasing fiber diameter would cause the pore size decreasing, while thickness and solid volume fraction kept constant also found. The results also show that the pore size decreasing with the thickness of the nonwoven geotextiles increasing, while the constant of the solid volume fraction and filaments diameter.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127115778","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}
University Psychology Network teaching quality evaluation system is designed, and using multiple granularity semantic computing model to compute and process the language information. The method is not only simple calculation, accurate, but also can be used for Web pages to realize online assessment, at the same time it can be used for service quality evaluation in other service industry.
{"title":"Psychology Network Teaching Quality Evaluation System Design Based on Multiple Granularity Two-tuple Semantic Model","authors":"Liu Xiao-ping","doi":"10.1109/ICICTA.2015.169","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.169","url":null,"abstract":"University Psychology Network teaching quality evaluation system is designed, and using multiple granularity semantic computing model to compute and process the language information. The method is not only simple calculation, accurate, but also can be used for Web pages to realize online assessment, at the same time it can be used for service quality evaluation in other service industry.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129796095","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}
Li Xiaorun, Song Bo, Bi Xiaofang, Wang Pin, Wu Changdong, Chen Shuirong
Aiming at the existing problems of column-beam joint put forward the new wedge-box joint. The new joint shape is simple, avoid the inconvenience that add diaphragm in the square tube, as well as to the late process of building interior decoration, the way of joints force transmission is clear, mechanical and seismic performance is good, from the external shape is better than the traditional internal partition and outreach plate joints, and compare to the both, inner bearing capacity is not weak, it can satisfy the need of industrialization of steel structure well, and used in actual engineering design.
{"title":"Analysis of a New Wedge-Shape Rectangular Tube Column and Girder Connection Joint","authors":"Li Xiaorun, Song Bo, Bi Xiaofang, Wang Pin, Wu Changdong, Chen Shuirong","doi":"10.1109/ICICTA.2015.51","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.51","url":null,"abstract":"Aiming at the existing problems of column-beam joint put forward the new wedge-box joint. The new joint shape is simple, avoid the inconvenience that add diaphragm in the square tube, as well as to the late process of building interior decoration, the way of joints force transmission is clear, mechanical and seismic performance is good, from the external shape is better than the traditional internal partition and outreach plate joints, and compare to the both, inner bearing capacity is not weak, it can satisfy the need of industrialization of steel structure well, and used in actual engineering design.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126206539","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}
Wang Xuming, Wang Xianpeng, Yang Zhanjin, Yao Boyan, H. Junke, Huang Yao
Based on the experiment method, the mechanical properties, adhesion, corrosion performance, appearance of the hot dip aluminized steel, and the thickness of aluminized layer were analyzed. The study showed that, after the hot dip aluminized process, the corrosion performance was improved, adhesion and appearance can meet the requirements of application in transformer substation. But the mechanical properties of materials was reduced, the problems of bolt plating leakage may be occurred. This paper provides a reference for the application of aluminized steel in transformer substation.
{"title":"Application Study of Hot Dip Aluminized Steel in Transformer Substation","authors":"Wang Xuming, Wang Xianpeng, Yang Zhanjin, Yao Boyan, H. Junke, Huang Yao","doi":"10.1109/ICICTA.2015.63","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.63","url":null,"abstract":"Based on the experiment method, the mechanical properties, adhesion, corrosion performance, appearance of the hot dip aluminized steel, and the thickness of aluminized layer were analyzed. The study showed that, after the hot dip aluminized process, the corrosion performance was improved, adhesion and appearance can meet the requirements of application in transformer substation. But the mechanical properties of materials was reduced, the problems of bolt plating leakage may be occurred. This paper provides a reference for the application of aluminized steel in transformer substation.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121340786","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 discontinuous Galerkin methods, the concept of three-dimensional radiation stress, surface roller and wave turbulent mixing effects were applied to develop the three-dimensional, unstructured grids numerical model for wave-induced currents. Validation of the model was carried out by comparing the model simulation with laboratory measurements for wave-induced currents over a slope, e.g. Undertow and long shore currents. The model results showed that the agreement between the simulated results and the laboratory measurements is generally good, the proposed model could be used to describe three-dimensional wave induced currents in near shore zone.
{"title":"A 3D Numerical Model of Nearshore Wave-Induced Currents Based on the Discontinuous Galerkin Method","authors":"Zhao Zhangyi, Z. Qinghe","doi":"10.1109/ICICTA.2015.11","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.11","url":null,"abstract":"Based on the discontinuous Galerkin methods, the concept of three-dimensional radiation stress, surface roller and wave turbulent mixing effects were applied to develop the three-dimensional, unstructured grids numerical model for wave-induced currents. Validation of the model was carried out by comparing the model simulation with laboratory measurements for wave-induced currents over a slope, e.g. Undertow and long shore currents. The model results showed that the agreement between the simulated results and the laboratory measurements is generally good, the proposed model could be used to describe three-dimensional wave induced currents in near shore zone.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115616605","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 teaching evaluation model based on information technology is established, which finds out the factor influencing teaching quality according to the relation between teaching evaluation data and students' achievement. Association rules are used for in-depth data mining to find out the key impact factor that determines the quality so as to find a strong theoretical and practical basis to improve the teaching quality. The experiment results show this classroom teaching quality evaluation mechanism is effective.
{"title":"Teaching Evaluation Model Research Based on Integration of Information Technology","authors":"Zhang Jun, Zhang Ying","doi":"10.1109/ICICTA.2015.232","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.232","url":null,"abstract":"The teaching evaluation model based on information technology is established, which finds out the factor influencing teaching quality according to the relation between teaching evaluation data and students' achievement. Association rules are used for in-depth data mining to find out the key impact factor that determines the quality so as to find a strong theoretical and practical basis to improve the teaching quality. The experiment results show this classroom teaching quality evaluation mechanism is effective.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115572902","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}
Application of big data techniques in power system will contribute to the sustainable development of power industry companies and the establishment of strong smart grid. There are significant challenges for big data analytics because of heterogeneous data and scalability, system complexity, reliability, and real time requirements for smart grid. In this paper, a data management model is proposed based on knowledge cube, which is an intelligent and adaptive database. The knowledge cube is established based on Topical, Association, Spatial and Temporal. The proposed data management model could handle data that is only relevant to its semantics. And the cube could be combined adaptively with the necessary information about other relevant knowledge cubes by the association component. The proposed knowledge cubes can support the capture and tracking of dynamic data. The proposed model provides a powerful and extensible framework that is particularly well suited to analyzing big variety data in smart grid.
{"title":"An Adaptive Data Management Model for Smart Grid","authors":"Xu Daqing, Han Yinghua","doi":"10.1109/ICICTA.2015.40","DOIUrl":"https://doi.org/10.1109/ICICTA.2015.40","url":null,"abstract":"Application of big data techniques in power system will contribute to the sustainable development of power industry companies and the establishment of strong smart grid. There are significant challenges for big data analytics because of heterogeneous data and scalability, system complexity, reliability, and real time requirements for smart grid. In this paper, a data management model is proposed based on knowledge cube, which is an intelligent and adaptive database. The knowledge cube is established based on Topical, Association, Spatial and Temporal. The proposed data management model could handle data that is only relevant to its semantics. And the cube could be combined adaptively with the necessary information about other relevant knowledge cubes by the association component. The proposed knowledge cubes can support the capture and tracking of dynamic data. The proposed model provides a powerful and extensible framework that is particularly well suited to analyzing big variety data in smart grid.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115934940","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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