Weixin Gao, Lianmin Sun, Xiangyang Mu, Nan Tang, Xiaomeng Wu
Hopfield neural network is utilized to enhance x-ray image of thick steel pipe welding, and a gray mapping matrix is constructed to replace traditional gray transformation curves and functions in this paper. The maximum dimension of the gray mapping matrix is 256 256, so the calculation time has little relation with the size of the image. The criterion function of image quality is used to evaluate the quality of the transformed image. In proposed approach, the problem of image enhancement is transformed to an optimization problem, so the normalization of gray values for each pixel is not necessary. The energy function that improves the performance of image enhancement is also given for Hopfield neural network.
{"title":"X Ray Image Enhancement Technology for Steel Pipe Welding Based on Hopfield Neural Network","authors":"Weixin Gao, Lianmin Sun, Xiangyang Mu, Nan Tang, Xiaomeng Wu","doi":"10.1109/ISCID.2009.175","DOIUrl":"https://doi.org/10.1109/ISCID.2009.175","url":null,"abstract":"Hopfield neural network is utilized to enhance x-ray image of thick steel pipe welding, and a gray mapping matrix is constructed to replace traditional gray transformation curves and functions in this paper. The maximum dimension of the gray mapping matrix is 256 256, so the calculation time has little relation with the size of the image. The criterion function of image quality is used to evaluate the quality of the transformed image. In proposed approach, the problem of image enhancement is transformed to an optimization problem, so the normalization of gray values for each pixel is not necessary. The energy function that improves the performance of image enhancement is also given for Hopfield neural network.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126915660","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 this paper, the auther establish a model of water-jet propulsion system for self-service gliding-hydrofoil craft. A fuzzy logic controller is designed based on MATLAB and SIMULINK. And simulation experiment is performed. Experiment results show that the fuzzy logic controller is useful and is affected by interference. And the less the interference, the more balanced the effect is.
{"title":"The Analysis of Intelligent Water-Jet Propulsion System Optimization on Self-Service Gliding-Hydrofoil Craft","authors":"Guo Wang, Songlin Yang, Peng Chen","doi":"10.1109/ISCID.2009.209","DOIUrl":"https://doi.org/10.1109/ISCID.2009.209","url":null,"abstract":"In this paper, the auther establish a model of water-jet propulsion system for self-service gliding-hydrofoil craft. A fuzzy logic controller is designed based on MATLAB and SIMULINK. And simulation experiment is performed. Experiment results show that the fuzzy logic controller is useful and is affected by interference. And the less the interference, the more balanced the effect is.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114444617","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 : 1900-01-01DOI: 10.1109/ISCID51228.2020.00050
Yingchun Zhang, G. Liao
In the context of economic globalization, employees need to deal with multiple workloads and role conflicts in the organizational practice, which often bring work pressure to employees. Therefore, the emphasis on improving employees' work enthusiasm is constantly increasing. This paper explores the relevant literature published in the field of work pressure and work passion research, and analyzes the Chinese scholars' analysis of the subject evolution and research status by means of social network analysis and previous research reviews. Based on data analysis and literature analysis, the relationship between the two is discussed, which provides theoretical support and practical guidance for improving organizational performance.
{"title":"Research on Work Passion and Work Pressure Based on Social Network Analysis","authors":"Yingchun Zhang, G. Liao","doi":"10.1109/ISCID51228.2020.00050","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00050","url":null,"abstract":"In the context of economic globalization, employees need to deal with multiple workloads and role conflicts in the organizational practice, which often bring work pressure to employees. Therefore, the emphasis on improving employees' work enthusiasm is constantly increasing. This paper explores the relevant literature published in the field of work pressure and work passion research, and analyzes the Chinese scholars' analysis of the subject evolution and research status by means of social network analysis and previous research reviews. Based on data analysis and literature analysis, the relationship between the two is discussed, which provides theoretical support and practical guidance for improving organizational performance.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126611001","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 : 1900-01-01DOI: 10.1109/ISCID.2018.00064
Xiaoqing Zhang, Yajie Hu
An algorithm of task scheduling with data-dependent is proposed. The algorithm consists of two steps: determining the priority of tasks and selecting the resources for tasks scheduling. In the step of prioritizing tasks, a new definition of task rank is introduced, which improves the traditional definition by taking the sum instead of the maximum of the upper and the lower ranks, therefore better representing the residual load of tasks in the workflow. In the step of selecting resources, a new method based on the fastest computation time is designed. In addition, the selection of critical path used in task scheduling depends on the new definition of task ranks, and comparison is given with the traditional methods. Finally, we analysis and compare the results of several task scheduling methods and prove that our algorithm outperforms better than the existing algorithms.
{"title":"Data-Dependent Tasks Scheduling and Analysis of Examples","authors":"Xiaoqing Zhang, Yajie Hu","doi":"10.1109/ISCID.2018.00064","DOIUrl":"https://doi.org/10.1109/ISCID.2018.00064","url":null,"abstract":"An algorithm of task scheduling with data-dependent is proposed. The algorithm consists of two steps: determining the priority of tasks and selecting the resources for tasks scheduling. In the step of prioritizing tasks, a new definition of task rank is introduced, which improves the traditional definition by taking the sum instead of the maximum of the upper and the lower ranks, therefore better representing the residual load of tasks in the workflow. In the step of selecting resources, a new method based on the fastest computation time is designed. In addition, the selection of critical path used in task scheduling depends on the new definition of task ranks, and comparison is given with the traditional methods. Finally, we analysis and compare the results of several task scheduling methods and prove that our algorithm outperforms better than the existing algorithms.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114323163","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}
A representation method of mechanical structure morphology is presented to simplify the retrieval process for 3D model and improve the design efficiency for mechanical structure in view of the difficulty of reusing 3D CAD model of mechanical structure. Its theoretical basis is developed by an improved sweep method of basic geometric solid. Its extraction rules based on analytic geometry expression are proposed, and its extraction method is developed. Then its characteristic is analyzed by comparing the mechanical structure morphology with the skeleton of 3D model. Finally, the research application of mechanical structure morphology is discussed according to the analysis on current situation of reuse of 3D model and the design requirement for many non-mechanical major professionals. The feasibility of representation method of mechanical structure morphology is demonstrated by an illustrative example. The example shows that mechanical structure morphology is successfully applied to detailed design of mechanical structure. The representation method of mechanical structure morphology provides a new research direction in feature simplification for mechanical structure, and theoretical foundation to study mechanical principle morphology.
{"title":"Representation of Mechanical Structure Morphology","authors":"Cijun Xu, Songlin Huang, Xin Li","doi":"10.1109/ISCID.2017.86","DOIUrl":"https://doi.org/10.1109/ISCID.2017.86","url":null,"abstract":"A representation method of mechanical structure morphology is presented to simplify the retrieval process for 3D model and improve the design efficiency for mechanical structure in view of the difficulty of reusing 3D CAD model of mechanical structure. Its theoretical basis is developed by an improved sweep method of basic geometric solid. Its extraction rules based on analytic geometry expression are proposed, and its extraction method is developed. Then its characteristic is analyzed by comparing the mechanical structure morphology with the skeleton of 3D model. Finally, the research application of mechanical structure morphology is discussed according to the analysis on current situation of reuse of 3D model and the design requirement for many non-mechanical major professionals. The feasibility of representation method of mechanical structure morphology is demonstrated by an illustrative example. The example shows that mechanical structure morphology is successfully applied to detailed design of mechanical structure. The representation method of mechanical structure morphology provides a new research direction in feature simplification for mechanical structure, and theoretical foundation to study mechanical principle morphology.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121379882","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 : 1900-01-01DOI: 10.1109/ISCID.2019.10113
Yu Wang, Zhifei Wang, Hongye Wang, Junfeng Zhang, R. Feng
Passenger flow forecasting is an inevitable need of modern railway operation, and also a hot and difficult research topic in the field of railway transportation for a long time. Accurate passenger flow forecasting can effectively allocate transport resources, meet passenger travel needs, and improve the operational and social benefits of railway enterprises. Inspired by the development of Deep Learning in the field of natural language processing and image recognition, this paper proposes a hybrid model of CNN-LSTM, which is applied to forecast the dispatched passenger number in the section from Beijing West to Zhengzhou East. In this paper, the key factors (variables) affecting the model, such as short-term factors, long-term influencing factors, are considered comprehensively. It is hoped that the correlation of sample data in time series dimension can be maximized. Finally, CNN model is introduced to further extract the characteristics of sample data, so as to optimize and improve the prediction accuracy of the model. The results show that the error of CNN - LSTM hybrid model is 4.92% and 6.58% under MAE and RMSE standards, which is obviously better than ARIMA model and single LSTM model.
{"title":"Prediction of Passenger Flow Based on CNN-LSTM Hybrid Model","authors":"Yu Wang, Zhifei Wang, Hongye Wang, Junfeng Zhang, R. Feng","doi":"10.1109/ISCID.2019.10113","DOIUrl":"https://doi.org/10.1109/ISCID.2019.10113","url":null,"abstract":"Passenger flow forecasting is an inevitable need of modern railway operation, and also a hot and difficult research topic in the field of railway transportation for a long time. Accurate passenger flow forecasting can effectively allocate transport resources, meet passenger travel needs, and improve the operational and social benefits of railway enterprises. Inspired by the development of Deep Learning in the field of natural language processing and image recognition, this paper proposes a hybrid model of CNN-LSTM, which is applied to forecast the dispatched passenger number in the section from Beijing West to Zhengzhou East. In this paper, the key factors (variables) affecting the model, such as short-term factors, long-term influencing factors, are considered comprehensively. It is hoped that the correlation of sample data in time series dimension can be maximized. Finally, CNN model is introduced to further extract the characteristics of sample data, so as to optimize and improve the prediction accuracy of the model. The results show that the error of CNN - LSTM hybrid model is 4.92% and 6.58% under MAE and RMSE standards, which is obviously better than ARIMA model and single LSTM model.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115850902","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}
ADS - B is a new type of air traffic control system that is promoted by international civil aviation organization (ICAO) . This paper puts forward a new design scheme of the data link layer in ADS-B system based on UC/OS-II embedded real-time operating system. And the hardware adopts the structure of ARM and FPGA. The paper mainly discusses the ADS-B messages control processing in the ARM module.
{"title":"A Design of Data Link Layer in ADS-B System Based on UC/OS-II","authors":"Chen Hu, Qing Li, Chao Zhang","doi":"10.1109/ISCID.2011.166","DOIUrl":"https://doi.org/10.1109/ISCID.2011.166","url":null,"abstract":"ADS - B is a new type of air traffic control system that is promoted by international civil aviation organization (ICAO) . This paper puts forward a new design scheme of the data link layer in ADS-B system based on UC/OS-II embedded real-time operating system. And the hardware adopts the structure of ARM and FPGA. The paper mainly discusses the ADS-B messages control processing in the ARM module.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114589313","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}
With the rapid development of computer technology, web services has been widely used. In these applications, the uncertain data is in the form of streams. In view of this kind of situation, present a new generalized data structure, that is, PSUF - tree, to store uncertain data streams, all itemsets in recent window are contained in global PStree in a condensed format, establish a header table in which contains dynamic array of expected value whose header table saved the same itemsets. Based on PSUF-tree, present a new mining algorithm for frequent itemsets, that is, PSUF-streaming algorithm, frequent itemsets could be mined by traversing the dynamic array, the maintaining of PSUF-tree just handles the header table corresponds to the oldest batch of itemsets in window. The experimental results show that PSUF-streaming algorithm has good efficiency and scalability, and reduce memory usage to some extent.
{"title":"Efficient Mining Algorithm of Frequent Itemsets for Uncertain Data Streams","authors":"Qianqian Wang, Fang Liu","doi":"10.1109/ISCID.2016.2110","DOIUrl":"https://doi.org/10.1109/ISCID.2016.2110","url":null,"abstract":"With the rapid development of computer technology, web services has been widely used. In these applications, the uncertain data is in the form of streams. In view of this kind of situation, present a new generalized data structure, that is, PSUF - tree, to store uncertain data streams, all itemsets in recent window are contained in global PStree in a condensed format, establish a header table in which contains dynamic array of expected value whose header table saved the same itemsets. Based on PSUF-tree, present a new mining algorithm for frequent itemsets, that is, PSUF-streaming algorithm, frequent itemsets could be mined by traversing the dynamic array, the maintaining of PSUF-tree just handles the header table corresponds to the oldest batch of itemsets in window. The experimental results show that PSUF-streaming algorithm has good efficiency and scalability, and reduce memory usage to some extent.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115178832","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 traditional feature selection, only a simple feature selection can be made, which will lead to the loss of information. In this paper, the requirement of weapon system economic analysis on the cost forecasting and the importance analysis of tactical and technical indicators were taken into account, moreover, considering the shortcomings of the traditional method of feature selection, A weighted feature selection with the supervised wrapper mode was used in the economic analysis of weapon system, which can effectively distinguish the influence of different features on the cost. In view of the good application effects of support vector machine (SVM), as well as a good performance of the mixture of kernels, the relationship model among the features and the cost was established based on SVM with the mixture of kernels. In addition, considering the consistency of feature selection and the establishment of cost forecasting model, a joint optimization method based on hybrid particle swarm optimization (PSO) was adopted, which can achieve the influence analysis of features and the optimization of cost forecasting model, that is, the economic analysis and cost forecasting can be done synchronically. Experiments show that the proposed method is effective.
{"title":"An Economic Analysis Method of Weapon System Based on Weighted Feature Selection","authors":"Tiejun Jiang, Huaiqiang Zhang, Jinlu Bian","doi":"10.1109/ISCID.2009.191","DOIUrl":"https://doi.org/10.1109/ISCID.2009.191","url":null,"abstract":"In the traditional feature selection, only a simple feature selection can be made, which will lead to the loss of information. In this paper, the requirement of weapon system economic analysis on the cost forecasting and the importance analysis of tactical and technical indicators were taken into account, moreover, considering the shortcomings of the traditional method of feature selection, A weighted feature selection with the supervised wrapper mode was used in the economic analysis of weapon system, which can effectively distinguish the influence of different features on the cost. In view of the good application effects of support vector machine (SVM), as well as a good performance of the mixture of kernels, the relationship model among the features and the cost was established based on SVM with the mixture of kernels. In addition, considering the consistency of feature selection and the establishment of cost forecasting model, a joint optimization method based on hybrid particle swarm optimization (PSO) was adopted, which can achieve the influence analysis of features and the optimization of cost forecasting model, that is, the economic analysis and cost forecasting can be done synchronically. Experiments show that the proposed method is effective.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122155452","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}
Software production line and web services are two new hot topics in the field of software engineering and distributed computing .How to integrate the two aspects and to put the combinational services software into distributed, reusable, high efficiency, large-scale production, is a new and exciting challenges. This paper presents a Service-Oriented Software Production Line Integration Framework Based on Model-Driven (MDSOPL) and describes its architecture, supported environment ,the relationship between various modules ,the method of tool integration ,the data’s interactive mode, the algorithm of distributed dispatch. Furthermore, it take the currently popular Business Process Modeling Notation(BPMN) as the production process configuratied model and use the method of Model-Driven to make the BPMN in the dispatch of central engine to be directly executed. At the same time, this paper basing on above platform states how to create and run the production line. Furthermore, it takes a service composition software in the field of gene calculation for a example to realize a product integration framework basing on Model-Driven.
{"title":"A Basing on Model-Driven Framework of Service-Oriented Software Production Line","authors":"Xiao Xu, Hailong Sun, Xiang Li, Chao Zhou","doi":"10.1109/ISCID.2009.183","DOIUrl":"https://doi.org/10.1109/ISCID.2009.183","url":null,"abstract":"Software production line and web services are two new hot topics in the field of software engineering and distributed computing .How to integrate the two aspects and to put the combinational services software into distributed, reusable, high efficiency, large-scale production, is a new and exciting challenges. This paper presents a Service-Oriented Software Production Line Integration Framework Based on Model-Driven (MDSOPL) and describes its architecture, supported environment ,the relationship between various modules ,the method of tool integration ,the data’s interactive mode, the algorithm of distributed dispatch. Furthermore, it take the currently popular Business Process Modeling Notation(BPMN) as the production process configuratied model and use the method of Model-Driven to make the BPMN in the dispatch of central engine to be directly executed. At the same time, this paper basing on above platform states how to create and run the production line. Furthermore, it takes a service composition software in the field of gene calculation for a example to realize a product integration framework basing on Model-Driven.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110725","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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