Power grid construction projects are distinguished by their wide variety,high investment,long payback period,and close relation to national development and human welfare.To improve the investment accuracy in such proj...Power grid construction projects are distinguished by their wide variety,high investment,long payback period,and close relation to national development and human welfare.To improve the investment accuracy in such projects and effectively prevent investment risks,this paper proposes an investment optimization decision-making method for multiple power grid construction projects under a certain investment scale.Firstly,an in-depth analysis of the characteristics and development requirements of China’s power grid projects was performed.Thereafter,the time sequence and holographic method was adopted to conduct multi-dimensional,multi-perspective risk assessment of different parts of power grid projects,and a holographic risk assessment index system was developed.Moreover,an investment decision model considering the comprehensive risk based on combination weighting was developed according to the output and input of power grid construction projects.A new combination weighting optimization method that takes into account the investment willingness of enterprises was designed to improve the current weighting evaluation methods.Finally,the validity and applicability of the proposed evaluation method were verified by case examples.展开更多
The purpose of this study is to investigate the disease distribution of tuberculosis in national regional project. 960 patients were selected from national tuberculosis control program who took treatments in the Fourt...The purpose of this study is to investigate the disease distribution of tuberculosis in national regional project. 960 patients were selected from national tuberculosis control program who took treatments in the Fourth People’s Hospital Clinical Laboratory in Nanning Guangxi from January to November in 2013. Then we observed all those patients’ disease distribution and analyzed all the lab test indexes. We analyzed the results according to gender and age distribution. From the age distribution, we found that the incidence was lower at the age of 40 or younger, while higher incidence occurred to patients over 40 years old. There is statistical significance comparing these two age groups. P is less than 0.001. Disease distribution: 731 patients were infected with TB;21 patients were co-infected with tuberculosis (TB) and HIV. 196 patients were co-infected with TB and fungal. 12 patients were co-infected with TB, HIV and fungal. From the laboratory testing, we know there were 87 patients whose liver function indexes were abnormal. There were 192 patients whose blood RT indexes were abnormal. The liver function and blood RT indexes of patients with co-infection were higher than those infected purely. There is statistical significance in comparison P < 0.05. The study indicates that patients with older age are more likely infected with tuberculosis. In addition, there are a high proportion of patients with co-infection among these patients in this study. Meanwhile, the liver functions and blood RT indexes of patients combining with infection are higher than those infected TB purely. Prompt clinical prevention and treatment should be under reasonable inspections. General analysis can enable us to investigate more effective treatment plan. Then the best treatment result will be obtained.展开更多
The development history of the project design of spaceflight launching site in China and the main forms used in these designs were introduced in this thesis, and it was pointed out that the spaceflight launch should n...The development history of the project design of spaceflight launching site in China and the main forms used in these designs were introduced in this thesis, and it was pointed out that the spaceflight launch should not use only one fixed model. According to its nation condition, China should design and build the launching project facility and device which correspond to the technology development of spacecraft and carrier rocket.展开更多
A new solution of combination network of GPS and high precise distance measurements with EDM is proposed. Meanwhile, it’s inadvisable only using GPS network without distance measurements. Three schemes: terrestrial n...A new solution of combination network of GPS and high precise distance measurements with EDM is proposed. Meanwhile, it’s inadvisable only using GPS network without distance measurements. Three schemes: terrestrial network, GPS network and combination network are discussed for horizontal control network design of Xiangjiaba Dam in view of precision, reliability, coordinate and outlay in detail.展开更多
To facilitate developers in effective allocation of their testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes...To facilitate developers in effective allocation of their testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes that are more likely to be buggy based on the past history of classes, methods, or certain other code elements. These techniques are effective provided that a sufficient amount of data is available to train a prediction model. However, sufficient training data are rarely available for new software projects. To resolve this problem, cross-project defect prediction, which transfers a prediction model trained using data from one project to another, was proposed and is regarded as a new challenge in the area of defect prediction. Thus far, only a few cross-project defect prediction techniques have been proposed. To advance the state of the art, in this study, we investigated seven composite algorithms that integrate multiple machine learning classifiers to improve cross-project defect prediction. To evaluate the performance of the composite algorithms, we performed experiments on 10 open-source software systems from the PROMISE repository, which contain a total of 5,305 instances labeled as defective or clean. We compared the composite algorithms with the combined defect predictor where logistic regression is used as the meta classification algorithm （CODEPLogistic）, which is the most recent cross-project defect prediction algorithm in terms of two standard evaluation metrics： cost effectiveness and F-measure. Our experimental results show that several algorithms outperform CODEPLogistic：Maximum voting shows the best performance in terms of F-measure and its average F-measure is superior to that of CODEPLogistic by 36.88%. Bootstrap aggregation （Bagging J48） shows the best performance in terms of cost effectiveness and its average cost effectiveness is superior to that of CODEPLogistic by 15.34%.展开更多
基金supported by the State Grid Science and Technology Project (SGTYHT/16-JS-198)
文摘Power grid construction projects are distinguished by their wide variety,high investment,long payback period,and close relation to national development and human welfare.To improve the investment accuracy in such projects and effectively prevent investment risks,this paper proposes an investment optimization decision-making method for multiple power grid construction projects under a certain investment scale.Firstly,an in-depth analysis of the characteristics and development requirements of China’s power grid projects was performed.Thereafter,the time sequence and holographic method was adopted to conduct multi-dimensional,multi-perspective risk assessment of different parts of power grid projects,and a holographic risk assessment index system was developed.Moreover,an investment decision model considering the comprehensive risk based on combination weighting was developed according to the output and input of power grid construction projects.A new combination weighting optimization method that takes into account the investment willingness of enterprises was designed to improve the current weighting evaluation methods.Finally,the validity and applicability of the proposed evaluation method were verified by case examples.
文摘The purpose of this study is to investigate the disease distribution of tuberculosis in national regional project. 960 patients were selected from national tuberculosis control program who took treatments in the Fourth People’s Hospital Clinical Laboratory in Nanning Guangxi from January to November in 2013. Then we observed all those patients’ disease distribution and analyzed all the lab test indexes. We analyzed the results according to gender and age distribution. From the age distribution, we found that the incidence was lower at the age of 40 or younger, while higher incidence occurred to patients over 40 years old. There is statistical significance comparing these two age groups. P is less than 0.001. Disease distribution: 731 patients were infected with TB;21 patients were co-infected with tuberculosis (TB) and HIV. 196 patients were co-infected with TB and fungal. 12 patients were co-infected with TB, HIV and fungal. From the laboratory testing, we know there were 87 patients whose liver function indexes were abnormal. There were 192 patients whose blood RT indexes were abnormal. The liver function and blood RT indexes of patients with co-infection were higher than those infected purely. There is statistical significance in comparison P < 0.05. The study indicates that patients with older age are more likely infected with tuberculosis. In addition, there are a high proportion of patients with co-infection among these patients in this study. Meanwhile, the liver functions and blood RT indexes of patients combining with infection are higher than those infected TB purely. Prompt clinical prevention and treatment should be under reasonable inspections. General analysis can enable us to investigate more effective treatment plan. Then the best treatment result will be obtained.
文摘The development history of the project design of spaceflight launching site in China and the main forms used in these designs were introduced in this thesis, and it was pointed out that the spaceflight launch should not use only one fixed model. According to its nation condition, China should design and build the launching project facility and device which correspond to the technology development of spacecraft and carrier rocket.
基金Supported bythe National 973 Programof China(No.2003CB716705) International Cooperative Fund of European Union(No.EVGI-CT-2002-00061) .
文摘A new solution of combination network of GPS and high precise distance measurements with EDM is proposed. Meanwhile, it’s inadvisable only using GPS network without distance measurements. Three schemes: terrestrial network, GPS network and combination network are discussed for horizontal control network design of Xiangjiaba Dam in view of precision, reliability, coordinate and outlay in detail.
基金Acknowledgements This research was supported by the National Natural Science Foundation of China （Grant No. 61602403） and National Key Technology R＆D Program of the Ministry of Science and Technology of China （2015BAH17F01）.
文摘To facilitate developers in effective allocation of their testing and debugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes that are more likely to be buggy based on the past history of classes, methods, or certain other code elements. These techniques are effective provided that a sufficient amount of data is available to train a prediction model. However, sufficient training data are rarely available for new software projects. To resolve this problem, cross-project defect prediction, which transfers a prediction model trained using data from one project to another, was proposed and is regarded as a new challenge in the area of defect prediction. Thus far, only a few cross-project defect prediction techniques have been proposed. To advance the state of the art, in this study, we investigated seven composite algorithms that integrate multiple machine learning classifiers to improve cross-project defect prediction. To evaluate the performance of the composite algorithms, we performed experiments on 10 open-source software systems from the PROMISE repository, which contain a total of 5,305 instances labeled as defective or clean. We compared the composite algorithms with the combined defect predictor where logistic regression is used as the meta classification algorithm （CODEPLogistic）, which is the most recent cross-project defect prediction algorithm in terms of two standard evaluation metrics： cost effectiveness and F-measure. Our experimental results show that several algorithms outperform CODEPLogistic：Maximum voting shows the best performance in terms of F-measure and its average F-measure is superior to that of CODEPLogistic by 36.88%. Bootstrap aggregation （Bagging J48） shows the best performance in terms of cost effectiveness and its average cost effectiveness is superior to that of CODEPLogistic by 15.34%.
