The remote data collection system based on SOL Server database technology was developed by Visual C++and SQL Server database technology together.The Client/Server mode was adopted.The system adopted the database searc...The remote data collection system based on SOL Server database technology was developed by Visual C++and SQL Server database technology together.The Client/Server mode was adopted.The system adopted the database search technologi- cal-ADO to work out the communication procedure of the server.And the old data of corresponding memory units were upgraded by the new data which gathered from PLC through serial port real time in the database.The Client utilizes the network technology and database technology through queries procedure to access the data information in the database.Thus a large number of relevant data that the production line operated were obtained.The goal of understanding operation conditions of product line was achieved through analysis of these data.This system has been debugged by the experiment successfully.展开更多
Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personn...Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personnel.The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research.The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories.Methods:We designed and implemented a DCMS to link study sites in Mali,Senegal and The Gambia.This system was based on case report forms for epidemiologic,entomologic,clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers.Based on this experience,we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel.Results:From 2012 to 2017,we performed biannual thick smear surveys for plasmodial infection,mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal,The Gambia and Mali.Major challenges included the development of uniform definitions and reporting,assessment of data entry error rates,unstable and limited internet access and software and technology maintenance.Strengths included entomologic collections linked to longitudinal cohort studies,on-site data centres and a cloud-based data repository.Conclusions:At a time when research on diseases of poverty in low and middle-income countries is a global priority,the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited.Based on our experience,we suggest the development of a regional DCMS.This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions,data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.展开更多
Energy crisis and climate change have become two seriously concerned issues universally. As a feasible solution, Global Energy Interconnection(GEI) has been highly praised and positively responded by the international...Energy crisis and climate change have become two seriously concerned issues universally. As a feasible solution, Global Energy Interconnection(GEI) has been highly praised and positively responded by the international community once proposed by China. From strategic conception to implementation, GEI development has entered a new phase of joint action now. Gathering and building a global grid database is a prerequisite for conducting research on GEI. Based on the requirement of global grid data management and application, combining with big data and geographic information technology, this paper studies the global grid data acquisition and analysis process, sorts out and designs the global grid database structure supporting GEI research, and builds a global grid database system.展开更多
The data nodes with heterogeneous database in early warning system for grain security seriously hampered the effective data collection in this system. In this article,the existing middleware technologies was analyzed,...The data nodes with heterogeneous database in early warning system for grain security seriously hampered the effective data collection in this system. In this article,the existing middleware technologies was analyzed,the problem-solution approach of heterogeneous data sharing was discussed through middleware technologies. Based on this method,and according to the characteristics of early warning system for grain security,the technology of data sharing in this system were researched and explored to solve the issues of collection of heterogeneous data sharing.展开更多
Background:Studies on myocardial infarction(MI)based on large medical databases have become popular in recent years.The influence of the National Inpatient Sample(NIS),the largest collection of administrative healthca...Background:Studies on myocardial infarction(MI)based on large medical databases have become popular in recent years.The influence of the National Inpatient Sample(NIS),the largest collection of administrative healthcare data across the United States,on the field of MI has not been well investigated.This study aimed to quantify the contribution of NIS to MI research using bibliometric methods.Methods:We searched the Web of Science Core Collection database to identify publications on MI using NIS from 2000 to 2022.Bibliometric indicators,such as the number of publications,citations,and Hirsch index(H-index),were summarized by years,authors,organizations,and journals.VOSviewer and CiteSpace software were used to analyze the keywords and trends of the hot spots.Results:A total of 342 articles on MI based on NIS were included.A significant growth in outputs related to MI using the NIS from 2000 to 2020 was observed.The publications were mainly from the United States.The Mayo Clinic was the most prolific institution and had the most citations and the highest H-index.The American Journal of Cardiology ranked first among journals with the highest number of publications,citations,and H-index.Mortality and healthcare management are the main focuses of this field.Personalized risks and care are receiving increased attention.Conclusion:This study suggests that NIS significantly contributes to high-quality output in MI research.More efforts are needed to improve the impact of knowledge gained from the NIS on MI.展开更多
In order to collect failure data conveniently and reserve reliability research data,the data collection software,the machine tool fault information management system, was developed. The method to computer numerical co...In order to collect failure data conveniently and reserve reliability research data,the data collection software,the machine tool fault information management system, was developed. The method to computer numerical control( CNC) machine tool reliability data collection was introduced. Through designing the form and applying SQL Server 2008 as the database and Visual Studio 2005 as the development platform,establish the database,develop the software based on the early stage work,and realize the comprehensive statistical information, laying the foundation for further data analysis.展开更多
The fraudulent behavior of taxpayers impacts negatively the resources available to finance public services. It creates distortions of competition and inequality, harming honest taxpayers. Such behavior requires the go...The fraudulent behavior of taxpayers impacts negatively the resources available to finance public services. It creates distortions of competition and inequality, harming honest taxpayers. Such behavior requires the government intervention to bring order and establish a fiscal justice. This study emphasizes the determination of the interactions linking taxpayers with tax authorities. We try to see how fiscal audit can influence taxpayers’ fraudulent behavior. First of all, we present a theoretical study of a model pre established by other authors. We have released some conditions of this model and we have introduced a new parameter reflecting the efficiency of tax control;we found that the efficiency of a fiscal control have an important effect on these interactions. Basing on the fact that the detection of fraudulent taxpayers is the most difficult step in fiscal control, We established a new approach using DATA MINING process in order to improve fiscal control efficiency. We found results that reflect fairly the conduct of taxpayers that we have tested based on actual statistics. The results are reliable.展开更多
This paper proposes a comprehensive and practical approach to implement a land administration act in Sri Lanka followed by setting up a Land Administration Commission (LAC), which is a separate entity to maintain a La...This paper proposes a comprehensive and practical approach to implement a land administration act in Sri Lanka followed by setting up a Land Administration Commission (LAC), which is a separate entity to maintain a Land Administration Database Management System in support of the land information collected and maintained by stakeholders who deal with matters related to land and its decision-making under e-governance concept. Also, It describes the operations of the four core functions: land tenure, land valuation, land use, and land development in land administration under a single sustainable national land policy, underpinned by spatial information under the e-Governance mechanism. Further, the paper identifies the stakeholders and their main responsibilities in each of the four core functions with the current issues in sharing information across stakeholders. Finally, the paper describes setting up a Land administration entity thereby empowering the LAC and introduces spatial information layers at different resolution levels in a centralized land administration spatial database to keep track of all land transactions carried out by each stakeholder. This approach will enable the top-level decision-making authority (the central level) to manage all land-related activities under one platform to contribute towards the sustainable land development of the country. It is proposed to implement this approach as a pilot activity in the district of Colombo and expand it in the entire country gradually with its output.展开更多
With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose...With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose the “movement purpose hypothesis” that each movement occurs from two causes: where the person is and what the person wants to do at a given moment. We formulate this hypothesis to a synthesis model in which two network graphs generate a movement network graph. Then we develop two novel-embedding models to assess the hypothesis, and demonstrate that the models obtain a vector representation of a geospatial area using movement patterns of people from large-scale smart card data. We conducted an experiment using smart card data for a large network of railroads in the Kansai region of Japan. We obtained a vector representation of each railroad station and each purpose using the developed embedding models. Results show that network embedding methods are suitable for a large-scale movement of data, and the developed models perform better than existing embedding methods in the task of multi-label classification for train stations on the purpose of use data set. Our proposed models can contribute to the prediction of people flows by discovering underlying representations of geospatial areas from mobility data.展开更多
文摘The remote data collection system based on SOL Server database technology was developed by Visual C++and SQL Server database technology together.The Client/Server mode was adopted.The system adopted the database search technologi- cal-ADO to work out the communication procedure of the server.And the old data of corresponding memory units were upgraded by the new data which gathered from PLC through serial port real time in the database.The Client utilizes the network technology and database technology through queries procedure to access the data information in the database.Thus a large number of relevant data that the production line operated were obtained.The goal of understanding operation conditions of product line was achieved through analysis of these data.This system has been debugged by the experiment successfully.
基金These studies were supported by Cooperative Agreements from the National Institutes of Allergy and Infectious Diseases(NIAID)for the West African International Center of Excellence for Malaria Research(ICEMR):NIAID U19 AI 089696 and U19 AI 129387(from 2010 to 2017 and 2017 to 2024,respectively)Development of Case Report Forms,Standard Operating Procedures and other bilingual documentation in English and French was performed in collaboration with Aliou Sissako,Lansana Sangare,Ayouba Diarra and Ousmane Koita at the University of Bamako,Jules Gomis and Daouda Ndiaye at the University Cheikh Anta Diop in Dakar,Abdullahi Ahmad and Davis Nwakanma at the MRC in The Gambia,Clarissa Valim at the T.H.Chan Harvard School of Public Health,Mary Lukowski at Study TRAX and was supported by a Fulbright Scholar Award to DJK from 2009 to 2011.
文摘Background:Developing and sustaining a data collection and management system(DCMS)is difficult in malariaendemic countries because of limitations in internet bandwidth,computer resources and numbers of trained personnel.The premise of this paper is that development of a DCMS in West Africa was a critically important outcome of the West African International Centers of Excellence for Malaria Research.The purposes of this paper are to make that information available to other investigators and to encourage the linkage of DCMSs to international research and Ministry of Health data systems and repositories.Methods:We designed and implemented a DCMS to link study sites in Mali,Senegal and The Gambia.This system was based on case report forms for epidemiologic,entomologic,clinical and laboratory aspects of plasmodial infection and malarial disease for a longitudinal cohort study and included on-site training for Principal Investigators and Data Managers.Based on this experience,we propose guidelines for the design and sustainability of DCMSs in environments with limited resources and personnel.Results:From 2012 to 2017,we performed biannual thick smear surveys for plasmodial infection,mosquito collections for anopheline biting rates and sporozoite rates and year-round passive case detection for malarial disease in four longitudinal cohorts with 7708 individuals and 918 households in Senegal,The Gambia and Mali.Major challenges included the development of uniform definitions and reporting,assessment of data entry error rates,unstable and limited internet access and software and technology maintenance.Strengths included entomologic collections linked to longitudinal cohort studies,on-site data centres and a cloud-based data repository.Conclusions:At a time when research on diseases of poverty in low and middle-income countries is a global priority,the resources available to ensure accurate data collection and the electronic availability of those data remain severely limited.Based on our experience,we suggest the development of a regional DCMS.This approach is more economical than separate data centres and has the potential to improve data quality by encouraging shared case definitions,data validation strategies and analytic approaches including the molecular analysis of treatment successes and failures.
文摘Energy crisis and climate change have become two seriously concerned issues universally. As a feasible solution, Global Energy Interconnection(GEI) has been highly praised and positively responded by the international community once proposed by China. From strategic conception to implementation, GEI development has entered a new phase of joint action now. Gathering and building a global grid database is a prerequisite for conducting research on GEI. Based on the requirement of global grid data management and application, combining with big data and geographic information technology, this paper studies the global grid data acquisition and analysis process, sorts out and designs the global grid database structure supporting GEI research, and builds a global grid database system.
基金Supported by Monitoring and Early warning System for Grain Security in Henan (0613024000)
文摘The data nodes with heterogeneous database in early warning system for grain security seriously hampered the effective data collection in this system. In this article,the existing middleware technologies was analyzed,the problem-solution approach of heterogeneous data sharing was discussed through middleware technologies. Based on this method,and according to the characteristics of early warning system for grain security,the technology of data sharing in this system were researched and explored to solve the issues of collection of heterogeneous data sharing.
基金National Clinical Research Center for geriatric diseases(Jianchao Liu,grant number NCRCG-PLAGH-2019001)National Natural Science Foundation of China(Zhouheng Ye,grant number 82000587)。
文摘Background:Studies on myocardial infarction(MI)based on large medical databases have become popular in recent years.The influence of the National Inpatient Sample(NIS),the largest collection of administrative healthcare data across the United States,on the field of MI has not been well investigated.This study aimed to quantify the contribution of NIS to MI research using bibliometric methods.Methods:We searched the Web of Science Core Collection database to identify publications on MI using NIS from 2000 to 2022.Bibliometric indicators,such as the number of publications,citations,and Hirsch index(H-index),were summarized by years,authors,organizations,and journals.VOSviewer and CiteSpace software were used to analyze the keywords and trends of the hot spots.Results:A total of 342 articles on MI based on NIS were included.A significant growth in outputs related to MI using the NIS from 2000 to 2020 was observed.The publications were mainly from the United States.The Mayo Clinic was the most prolific institution and had the most citations and the highest H-index.The American Journal of Cardiology ranked first among journals with the highest number of publications,citations,and H-index.Mortality and healthcare management are the main focuses of this field.Personalized risks and care are receiving increased attention.Conclusion:This study suggests that NIS significantly contributes to high-quality output in MI research.More efforts are needed to improve the impact of knowledge gained from the NIS on MI.
基金National Science and Technology Major Project of China(No.2013ZX04013-011-05)
文摘In order to collect failure data conveniently and reserve reliability research data,the data collection software,the machine tool fault information management system, was developed. The method to computer numerical control( CNC) machine tool reliability data collection was introduced. Through designing the form and applying SQL Server 2008 as the database and Visual Studio 2005 as the development platform,establish the database,develop the software based on the early stage work,and realize the comprehensive statistical information, laying the foundation for further data analysis.
文摘The fraudulent behavior of taxpayers impacts negatively the resources available to finance public services. It creates distortions of competition and inequality, harming honest taxpayers. Such behavior requires the government intervention to bring order and establish a fiscal justice. This study emphasizes the determination of the interactions linking taxpayers with tax authorities. We try to see how fiscal audit can influence taxpayers’ fraudulent behavior. First of all, we present a theoretical study of a model pre established by other authors. We have released some conditions of this model and we have introduced a new parameter reflecting the efficiency of tax control;we found that the efficiency of a fiscal control have an important effect on these interactions. Basing on the fact that the detection of fraudulent taxpayers is the most difficult step in fiscal control, We established a new approach using DATA MINING process in order to improve fiscal control efficiency. We found results that reflect fairly the conduct of taxpayers that we have tested based on actual statistics. The results are reliable.
文摘This paper proposes a comprehensive and practical approach to implement a land administration act in Sri Lanka followed by setting up a Land Administration Commission (LAC), which is a separate entity to maintain a Land Administration Database Management System in support of the land information collected and maintained by stakeholders who deal with matters related to land and its decision-making under e-governance concept. Also, It describes the operations of the four core functions: land tenure, land valuation, land use, and land development in land administration under a single sustainable national land policy, underpinned by spatial information under the e-Governance mechanism. Further, the paper identifies the stakeholders and their main responsibilities in each of the four core functions with the current issues in sharing information across stakeholders. Finally, the paper describes setting up a Land administration entity thereby empowering the LAC and introduces spatial information layers at different resolution levels in a centralized land administration spatial database to keep track of all land transactions carried out by each stakeholder. This approach will enable the top-level decision-making authority (the central level) to manage all land-related activities under one platform to contribute towards the sustainable land development of the country. It is proposed to implement this approach as a pilot activity in the district of Colombo and expand it in the entire country gradually with its output.
文摘With the deployment of modern infrastructure for public transportation, several studies have analyzed movement patterns of people using smart card data and have characterized different areas. In this paper, we propose the “movement purpose hypothesis” that each movement occurs from two causes: where the person is and what the person wants to do at a given moment. We formulate this hypothesis to a synthesis model in which two network graphs generate a movement network graph. Then we develop two novel-embedding models to assess the hypothesis, and demonstrate that the models obtain a vector representation of a geospatial area using movement patterns of people from large-scale smart card data. We conducted an experiment using smart card data for a large network of railroads in the Kansai region of Japan. We obtained a vector representation of each railroad station and each purpose using the developed embedding models. Results show that network embedding methods are suitable for a large-scale movement of data, and the developed models perform better than existing embedding methods in the task of multi-label classification for train stations on the purpose of use data set. Our proposed models can contribute to the prediction of people flows by discovering underlying representations of geospatial areas from mobility data.