This paper discussed the necessity of establishing a computer network in a mining railway transport management system. The network structure and the system security design, associated with the real development conditi...This paper discussed the necessity of establishing a computer network in a mining railway transport management system. The network structure and the system security design, associated with the real development condition of a mining area, were brought forward, and the system evaluation was given.展开更多
Good equipment management is essential for the day to day management of an enterprise. Targeted at production opera-tion of the railway transportation department of a mining group and aimed at mine railway equipment m...Good equipment management is essential for the day to day management of an enterprise. Targeted at production opera-tion of the railway transportation department of a mining group and aimed at mine railway equipment management, we have estab-lished a management information system for the equipment in the entire process of the life cycle of equipment. The project deals with basic data about equipment, initial management, maintenance, operation and even disposal, based on a C/S and B/S structure. We adopted an object-oriented approach, dealing with software engineering, information engineering, economic and organizational measures. Thus, effective monitoring and control of the operation of railway equipment and its status in the entire process has been achieved.展开更多
In recent years,with the rapid development of high-speed railways(HSRs),power interruptions or disturbances in traction power supply systems have become increasingly dangerous.However,it is often impossible to detect ...In recent years,with the rapid development of high-speed railways(HSRs),power interruptions or disturbances in traction power supply systems have become increasingly dangerous.However,it is often impossible to detect these faults immediately through single-point monitoring or collecting data after accidents.To coordinate the power quality data of both traction power supply systems(TPSSs)and high-speed trains(HSTs),a monitoring and assessing system is proposed to access the power quality issues on HSRs.By integrating train monitoring,traction substation monitoring and data center,this monitoring system not only realizes the real-time monitoring of operational behaviors for both TPSSs and HSTs,but also conducts a comprehensive assessment of operational quality for train-network systems.Based on a large number of monitoring data,the field measurements show that this real-time monitoring system is effective for monitoring and evaluating a traction-network system.展开更多
In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train ...In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment.A virtual sample generation solution based on Generative Adversarial Network(GAN)is proposed to overcome this shortcoming.Aiming at augmenting the sample classes with the imbalanced data problem,the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction models.Under the PHM framework of the on-board train control system,the virtual sample generation principle and the detailed procedures are presented.With the enhanced class-balancing mechanism and the designed sample augmentation logic,the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle status.Practical data from a specific type of on-board train control system is employed for the validation of the presented solution.The comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance(CBM)operations.展开更多
National Population Health Data Center(NPHDC)is one of China's 20 national-level science data centers,jointly designated by the Ministry of Science and Technology and the Ministry of Finance.Operated by the Chines...National Population Health Data Center(NPHDC)is one of China's 20 national-level science data centers,jointly designated by the Ministry of Science and Technology and the Ministry of Finance.Operated by the Chinese Academy of Medical Sciences under the oversight of the National Health Commission,NPHDC adheres to national regulations including the Scientific Data Management Measures and the National Science and Technology Infrastructure Service Platform Management Measures,and is committed to collecting,integrating,managing,and sharing biomedical and health data through openaccess platform,fostering open sharing and engaging in international cooperation.展开更多
BACKGROUND： Acute poisoning is frequently encountered at emergency department. This study was to investigate the epidemiology and characteristics of patients with acute poisoning who were treated at the Emergency Cen...BACKGROUND： Acute poisoning is frequently encountered at emergency department. This study was to investigate the epidemiology and characteristics of patients with acute poisoning who were treated at the Emergency Center, Fujian Provincial Hospital, China.METHODS： We retrospectively analyzed the gender, age, causes of poisoning, types of poisons, poisoning route, emergency diagnoses, outcomes, and prognoses of these patients.RESULTS： Altogether 2867 patients with acute poisoning were treated from January 2004 to December 2009. The ratio of male to female was 1：1.04, and their average age was 33.8 years. Of the 2867 patients, 76.39% were between 18 and 40 years old. The incidence of acute poisoning was as high as 11.33% in January each year. The incidence of poisoning was in a descending order： alcohol poisoning （54.55%）, medication poisoning （25.95%）, pesticide poisoning （5.65%）, and drug poisoning （4.88%）. Most （56.44%） of the patients with drug poisoning were under 25 years and their mean age was significantly lower than that of patients with medication poisoning or alcohol poisoning （P 〈 0.01）. Approximately 69.54% of the patients were followed up after emergency treatment, 30.39% were hospitalized, and four patients died.CONCLUSION： Acute poisoning is largely alcohol poisoning and medication poisoning in a city. The emergency green channel ＂pre-hospital emergency care-emergency department-hospital treatment＂ can significantly improve the survival rate of patients with acute poisoning.展开更多
The technical characters of mobile agent （MA） originated in the distributional artificial intelligence domain is introduced. A network management construction based on agent （NMCA） is then proposed. The NMCA struc...The technical characters of mobile agent （MA） originated in the distributional artificial intelligence domain is introduced. A network management construction based on agent （NMCA） is then proposed. The NMCA structure features are elaborated in detail. A prototype design of NMCA is given by using the jKQML programming. The establishment of NMCA platform will be helpful to reduce the correspondence load of network management and improves the efficiency and the expansion ability of network management systems.展开更多
随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包...随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包括主供电、备用电源和不间断电源(Uninterruptible Power Supply,UPS)3个模块,并在相应模块中集成了智能配电管理系统、云平台能量管理系统、智能UPS能效管理系统。该研究为云计算数据中心的稳定运行和可持续发展提供了有力支撑。展开更多
Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical c...Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical challenges still remain unanswered such as the jointly consideration of the efficiency and fairness,the rational description of the spectrum resources,and the execution mode of the spectrum allocation.This paper presents a system level dynamic frequency spectrum allocation scheme based on a central heterogeneous network architecture,evaluates the matching degree of the spectrum demand and the available spectrum resources with corresponding matrices,jointly considers the efficiency and fairness of different cognitive radio systems.Simulation results and the application scenario are also presented and analyzed.展开更多
In a data center network （DCN）, load balancing is required when servers transfer data on the same path. This is necessary to avoid congestion. Load balancing is challenged by the dynamic transferral of demands and c...In a data center network （DCN）, load balancing is required when servers transfer data on the same path. This is necessary to avoid congestion. Load balancing is challenged by the dynamic transferral of demands and complex routing control. Because of the distributed nature of a traditional network, previous research on load balancing has mostly focused on improving the performance of the local network; thus, the load has not been optimally balanced across the entire network. In this paper, we propose a novel dynamic load-balancing algorithm for fat-tree. This algorithm avoids congestions to the great possible extent by searching for non-conflicting paths in a centralized way. We implement the algorithm in the popular software-defined networking architecture and evaluate the algorithm＇ s performance on the Mininet platform. The results show that our algorithm has higher bisection band- width than the traditional equal-cost multi-path load-balancing algorithm and thus more effectively avoids congestion.展开更多
文摘This paper discussed the necessity of establishing a computer network in a mining railway transport management system. The network structure and the system security design, associated with the real development condition of a mining area, were brought forward, and the system evaluation was given.
文摘Good equipment management is essential for the day to day management of an enterprise. Targeted at production opera-tion of the railway transportation department of a mining group and aimed at mine railway equipment management, we have estab-lished a management information system for the equipment in the entire process of the life cycle of equipment. The project deals with basic data about equipment, initial management, maintenance, operation and even disposal, based on a C/S and B/S structure. We adopted an object-oriented approach, dealing with software engineering, information engineering, economic and organizational measures. Thus, effective monitoring and control of the operation of railway equipment and its status in the entire process has been achieved.
文摘In recent years,with the rapid development of high-speed railways(HSRs),power interruptions or disturbances in traction power supply systems have become increasingly dangerous.However,it is often impossible to detect these faults immediately through single-point monitoring or collecting data after accidents.To coordinate the power quality data of both traction power supply systems(TPSSs)and high-speed trains(HSTs),a monitoring and assessing system is proposed to access the power quality issues on HSRs.By integrating train monitoring,traction substation monitoring and data center,this monitoring system not only realizes the real-time monitoring of operational behaviors for both TPSSs and HSTs,but also conducts a comprehensive assessment of operational quality for train-network systems.Based on a large number of monitoring data,the field measurements show that this real-time monitoring system is effective for monitoring and evaluating a traction-network system.
基金supported by National Natural Science Foundation of China(U2268206,T2222015)Beijing Natural Science Foundation(4232031)+1 种基金Key Fields Project of DEGP(2021ZDZX1110)Shenzhen Science and Technology Program(CJGJZD20220517141801004).
文摘In view of class imbalance in data-driven modeling for Prognostics and Health Management(PHM),existing classification methods may fail in generating effective fault prediction models for the on-board high-speed train control equipment.A virtual sample generation solution based on Generative Adversarial Network(GAN)is proposed to overcome this shortcoming.Aiming at augmenting the sample classes with the imbalanced data problem,the GAN-based virtual sample generation strategy is embedded into the establishment of fault prediction models.Under the PHM framework of the on-board train control system,the virtual sample generation principle and the detailed procedures are presented.With the enhanced class-balancing mechanism and the designed sample augmentation logic,the PHM scheme of the on-board train control equipment has powerful data condition adaptability and can effectively predict the fault probability and life cycle status.Practical data from a specific type of on-board train control system is employed for the validation of the presented solution.The comparative results indicate that GAN-based sample augmentation is capable of achieving a desirable sample balancing level and enhancing the performance of correspondingly derived fault prediction models for the Condition-based Maintenance(CBM)operations.
文摘National Population Health Data Center(NPHDC)is one of China's 20 national-level science data centers,jointly designated by the Ministry of Science and Technology and the Ministry of Finance.Operated by the Chinese Academy of Medical Sciences under the oversight of the National Health Commission,NPHDC adheres to national regulations including the Scientific Data Management Measures and the National Science and Technology Infrastructure Service Platform Management Measures,and is committed to collecting,integrating,managing,and sharing biomedical and health data through openaccess platform,fostering open sharing and engaging in international cooperation.
文摘BACKGROUND： Acute poisoning is frequently encountered at emergency department. This study was to investigate the epidemiology and characteristics of patients with acute poisoning who were treated at the Emergency Center, Fujian Provincial Hospital, China.METHODS： We retrospectively analyzed the gender, age, causes of poisoning, types of poisons, poisoning route, emergency diagnoses, outcomes, and prognoses of these patients.RESULTS： Altogether 2867 patients with acute poisoning were treated from January 2004 to December 2009. The ratio of male to female was 1：1.04, and their average age was 33.8 years. Of the 2867 patients, 76.39% were between 18 and 40 years old. The incidence of acute poisoning was as high as 11.33% in January each year. The incidence of poisoning was in a descending order： alcohol poisoning （54.55%）, medication poisoning （25.95%）, pesticide poisoning （5.65%）, and drug poisoning （4.88%）. Most （56.44%） of the patients with drug poisoning were under 25 years and their mean age was significantly lower than that of patients with medication poisoning or alcohol poisoning （P 〈 0.01）. Approximately 69.54% of the patients were followed up after emergency treatment, 30.39% were hospitalized, and four patients died.CONCLUSION： Acute poisoning is largely alcohol poisoning and medication poisoning in a city. The emergency green channel ＂pre-hospital emergency care-emergency department-hospital treatment＂ can significantly improve the survival rate of patients with acute poisoning.
文摘The technical characters of mobile agent （MA） originated in the distributional artificial intelligence domain is introduced. A network management construction based on agent （NMCA） is then proposed. The NMCA structure features are elaborated in detail. A prototype design of NMCA is given by using the jKQML programming. The establishment of NMCA platform will be helpful to reduce the correspondence load of network management and improves the efficiency and the expansion ability of network management systems.
文摘随着云计算技术的快速发展,传统通信互联网数据中心(Internet Data Center,IDC)机房供电系统已难以满足其高可靠性、高效率、灵活性的需求。文章针对云计算数据中心的特点,提出了一种创新的通信IDC机房供电电源系统设计方案。该方案包括主供电、备用电源和不间断电源(Uninterruptible Power Supply,UPS)3个模块,并在相应模块中集成了智能配电管理系统、云平台能量管理系统、智能UPS能效管理系统。该研究为云计算数据中心的稳定运行和可持续发展提供了有力支撑。
文摘Cognitive radio is being widely discussed,and resource allocation scheme is drawing a lot of attention.Although the existed resource allocation strategies have successfully enhanced spectrum efficiency,some critical challenges still remain unanswered such as the jointly consideration of the efficiency and fairness,the rational description of the spectrum resources,and the execution mode of the spectrum allocation.This paper presents a system level dynamic frequency spectrum allocation scheme based on a central heterogeneous network architecture,evaluates the matching degree of the spectrum demand and the available spectrum resources with corresponding matrices,jointly considers the efficiency and fairness of different cognitive radio systems.Simulation results and the application scenario are also presented and analyzed.
基金supported by the National Basic Research Program of China(973 Program)(2012CB315903)the Key Science and Technology Innovation Team Project of Zhejiang Province(2011R50010-05)+3 种基金the National Science and Technology Support Program(2014BAH24F01)863 Program of China(2012AA01A507)the National Natural Science Foundation of China(61379118 and 61103200)sponsored by the Research Fund of ZTE Corporation
文摘In a data center network （DCN）, load balancing is required when servers transfer data on the same path. This is necessary to avoid congestion. Load balancing is challenged by the dynamic transferral of demands and complex routing control. Because of the distributed nature of a traditional network, previous research on load balancing has mostly focused on improving the performance of the local network; thus, the load has not been optimally balanced across the entire network. In this paper, we propose a novel dynamic load-balancing algorithm for fat-tree. This algorithm avoids congestions to the great possible extent by searching for non-conflicting paths in a centralized way. We implement the algorithm in the popular software-defined networking architecture and evaluate the algorithm＇ s performance on the Mininet platform. The results show that our algorithm has higher bisection band- width than the traditional equal-cost multi-path load-balancing algorithm and thus more effectively avoids congestion.
