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2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)最新文献

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FPGA software testing process management FPGA软件测试流程管理
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301927
Wang Li, Zhou Hao
{"title":"FPGA software testing process management","authors":"Wang Li, Zhou Hao","doi":"10.1109/GSIS.2015.7301927","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301927","url":null,"abstract":"FPGA software testing of ship domain is seriously lagging behind the growth rate of its application, in some fields it is not even included in the test category. In the product development process, the modification and debugging caused by FPGA software defect has become the bottleneck of schedule and cost. This paper gives a suitable test model and FPGA software testing process management system, according to the FGPA test situation and the Feature of the FPGA design. With standardized, orderly, systematic, engineering oriented, task oriented document and related management tools, the testing activities can provide correct guidance, organization and implementation, it can also be used for continuous improvement in all stages of the testing process, work quality and utility. Early discovery and closure the defects of FPGA in the development process, improve the efficiency of communication between FPGA designer and tester, can ultimately ensure quality of FPGA products, to improve customer satisfaction.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122177399","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}
引用次数: 3
Grey incidence analysis on relationship between China's OFDI Industry Layout and Industrial structure optimization 中国对外直接投资产业布局与产业结构优化关系的灰色关联分析
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301841
Ying Wang, R. Bi, Qi Liu
{"title":"Grey incidence analysis on relationship between China's OFDI Industry Layout and Industrial structure optimization","authors":"Ying Wang, R. Bi, Qi Liu","doi":"10.1109/GSIS.2015.7301841","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301841","url":null,"abstract":"The relationship between China's OFDI industry layout and industrial structure optimization is analyzed in this paper. First, an index system is built up and the comprehensive level of industrial structure optimization is calculated using the improved entropy method. The grey relative incidence model is then constructed to analyze the correlation between China's OFDI industry layout and its industrial structure optimization. Finally and accordingly, countermeasures are put forward to adjust China's OFDI industry layout under the goal of industrial structure optimization.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129432422","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}
引用次数: 1
Using weighted partial least squares to estimate the development cost of complex equipment at early design stage 利用加权偏最小二乘法估算复杂设备设计初期的开发成本
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301922
Lifeng Wu, Sifeng Liu, Dejin Song
{"title":"Using weighted partial least squares to estimate the development cost of complex equipment at early design stage","authors":"Lifeng Wu, Sifeng Liu, Dejin Song","doi":"10.1109/GSIS.2015.7301922","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301922","url":null,"abstract":"The objective of this work is to develop and test a model of cost estimating for the complex equipment development (i.e. parts in aerospace or automotive industry) in the early design phase. A novel similar degree is put forward based on a comparison analysis between a new product (equipment) and the products that have been manufactured previously, in order to identify the similarities. The similar degree of the past products is used as the weight of the weighted partial least squares (WPLS) regression for a further improvement of partial least squares (PLS). Test of the methodology on three real cases demonstrates that the methodology produces accurate estimation.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129804185","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}
引用次数: 4
Research on heterogeneity of Chinese regional technological innovation efficiency based on meta-frontier and grey system theory 基于元前沿和灰色系统理论的中国区域技术创新效率异质性研究
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301870
Qi Huang, Jian-Jun Miao
{"title":"Research on heterogeneity of Chinese regional technological innovation efficiency based on meta-frontier and grey system theory","authors":"Qi Huang, Jian-Jun Miao","doi":"10.1109/GSIS.2015.7301870","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301870","url":null,"abstract":"This study explores the technological innovation efficiency of three regions in China with meta-frontier in consideration of regional heterogeneity. The results reveal that the overall technological innovation efficiency is low in China, which has much space to improve. In addition, three regions under group frontier and meta-frontier present different development patterns based on different technology sets. The technological innovation inputs and outputs are forecasted by GM(1,1) model and the innovation meta-technology ratio is calculated with forecasted values. The gaps between innovation meta-technology ratio of the three regions tend to decrease. The regions lagging behind have significant late-developing advantages and are catching up with the advanced ones, but the speed of convergence is slow.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412667","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}
引用次数: 0
Storage reliability evaluation model based on grey target theory combined with prospect theory 基于灰色目标理论与前景理论相结合的储能可靠性评估模型
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301885
Jie-Fang Liu, Sifeng Liu, Zhigeng Fang
{"title":"Storage reliability evaluation model based on grey target theory combined with prospect theory","authors":"Jie-Fang Liu, Sifeng Liu, Zhigeng Fang","doi":"10.1109/GSIS.2015.7301885","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301885","url":null,"abstract":"For complex weapon systems, storage reliability is an important evaluation index of performance. The main purpose of this paper is to evaluate the storage reliability using prospect theory combined with grey target theory. Transformation operator with the features of the `rewarding good and punishing bad' is used to standardize the original data and the positive and negative bull's-eye are defined. The optimization model to maximize the value of comprehensive prospects was constructed. The schemes were sorted according to comprehensive prospect value and the optimal solution was chosen. Finally the practicability and feasibility of the model was proved by an example.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132767817","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}
引用次数: 3
The optimization grey incidence analysis models 优化灰色关联分析模型
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301849
D. Luo, Bao-Lei Wei, Yuwen Li
{"title":"The optimization grey incidence analysis models","authors":"D. Luo, Bao-Lei Wei, Yuwen Li","doi":"10.1109/GSIS.2015.7301849","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301849","url":null,"abstract":"On the basis of the absolute degree, relative degree, synthetic degree, similitude degree and close degree of grey incidence models, we analyzed the reason for the contradiction between the quantitative and the qualitative results in some cases. Aimed at this reason, the error sources of grey incidence models are deeply analyzed and a novel method that measures the closeness of a relationship between sequence curves sectionally is proposed. The algorithms of optimization models are given, and the properties are better. The application scope of grey incidence analysis is extended, making it meaningful to theory and practical application. A numerical example is used to demonstrate the rationality and validity of the optimization models, and the several kinds of optimization degrees of grey incidence maintain consistency.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123776605","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}
引用次数: 2
Research on the competing evolution model and empirical analysis of complex network 复杂网络竞争演化模型研究与实证分析
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301921
Li Shou-wei, Wang Zuo-gong
{"title":"Research on the competing evolution model and empirical analysis of complex network","authors":"Li Shou-wei, Wang Zuo-gong","doi":"10.1109/GSIS.2015.7301921","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301921","url":null,"abstract":"Based on the correlation ship of enterprise, the model of integrated circuit industrial network is presented, then the complex properties of industrial network are analyzed. The industrial network is a small world with scale free property, and its local clustering coefficient depends on the degree of node strongly. Lastly, based on the character of industrial development, the model of competition and evolution is presented and explained theoretically.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281281","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}
引用次数: 0
Grey forecasting and incidence analysis of labor demand for modern services in China 中国现代服务业劳动力需求的灰色预测与关联分析
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301863
Xiaohui Qu
{"title":"Grey forecasting and incidence analysis of labor demand for modern services in China","authors":"Xiaohui Qu","doi":"10.1109/GSIS.2015.7301863","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301863","url":null,"abstract":"The development of modern services cannot do without the staffs in this field. As the global industry transfers from industrial economy to service economy, the labor demand for modern services keeps increasing. The research reviews labor demand theories and its various incidence impacts, and carries out forecast research and incidence research of the number of people engaged in services in the future in China by using Grey Systems and analyzes the dynamic tendency of labor demand factors for modern services between 2001 and 2010 in China. Finally, it draws the conclusion that labor demand for modern services of China keeps increasing and in the future, China should vigorously cultivate service-oriented talents of high-tech and diplomatic quality.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134558771","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}
引用次数: 2
Development cost estimation of civil aircraft based on combination model of GM (1, N) and MLP neural network 基于GM (1, N)和MLP神经网络组合模型的民用飞机研制成本估算
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301875
Yin Songming, Xie Naiming, H. Chuanzhen
{"title":"Development cost estimation of civil aircraft based on combination model of GM (1, N) and MLP neural network","authors":"Yin Songming, Xie Naiming, H. Chuanzhen","doi":"10.1109/GSIS.2015.7301875","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301875","url":null,"abstract":"Scientific prediction and estimation for the development cost of civil aircraft, not only conducive to strengthening the control of cost, is also the key to ensure the success of the project. Considering the complex influence factors of civil aircraft cost with the scarce sample data, a combination model is adopted. Firstly, constructing a multi factor GM(1,N) model to predict the development cost of civil aircraft based on the collection of cost affecting characteristic sequence. Secondly, MLP neural network algorithm is used to optimize and revise the forecasting cost. Making full use of the grey GM(1,N) model with few data and the effective use of simulation advantages of MLP neural network. Finally, a number of domestic and foreign civil aircrafts as an example to verify the combination model, the results show that the combination forecasting method has satisfactory and stable prediction accuracy, and it can effectively be used to estimate the civil aircraft development cost.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132833938","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}
引用次数: 4
Grey Discrete time-varying Model and Its application 灰色离散时变模型及其应用
2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS) Pub Date : 2015-08-01 DOI: 10.1109/GSIS.2015.7301862
L. Wu, Ying-Jian Qi, Zheng-peng Wu
{"title":"Grey Discrete time-varying Model and Its application","authors":"L. Wu, Ying-Jian Qi, Zheng-peng Wu","doi":"10.1109/GSIS.2015.7301862","DOIUrl":"https://doi.org/10.1109/GSIS.2015.7301862","url":null,"abstract":"Although the Grey Discrete Model and its improved models have been successfully employed in some fields and have promising results, the prediction results may be inaccurate sometime. We bring a grey discrete parameters model by introducing quadratic time-varying terms, which is called as quadratic time-varying parameters discrete grey model (referred to as QDGM (1, 1)). The paper investigates the properties of the new model, and concludes that QDGM (1, 1) possesses white exponential law coincidence, linear law coincidence, quadratic law coincidence. Then, we optimize the iterative starting value of the new model. Finally, the new model is compared with three discrete grey models using the same data instances. It is proved that the new model greatly improves the simulation and prediction precision.","PeriodicalId":246110,"journal":{"name":"2015 IEEE International Conference on Grey Systems and Intelligent Services (GSIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131393261","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}
引用次数: 1
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