scholarly journals Assessment on Location Characteristics of Urban Park as Public Service Using Geographic Information Analysis System: Focused on Cheongju City

2013 ◽  
Vol 22 (3) ◽  
pp. 231-240
Author(s):  
Min-Ki Bae
Author(s):  
Z. Zha ◽  
W. Huang ◽  
D. Tang ◽  
C. Wang ◽  
H. Zhang ◽  
...  

Abstract. The data update of the geographic information public service platform requires the joint investment of the resources of the national, provincial and municipal nodes of the platform. How to efficiently organize the collaboration of nodes at different levels is a problem that needs to be solved in the construction of the platform. The platform linkage update management system proposed in this paper is based on a workflow engine and driven by data flow. Its functions include data fusion agreement handling, data update, data access and distribution, problem feedback, announcement, statistics & analysis, system management and other functions.The system is suitable for the joint participation of construction and maintenance units suitable for all nodes to participate in, get through the online and offline update process and related resources.The construction of the system can better coordinate the construction of national geographic information public services, and achieve the effect of "linked update and shared services". The system provides higher efficiency for the dynamic update of the geographic information public service platform, allowing geographic information data resources to provide services for natural resource management and economic and social development in a more timely and extensive manner.


2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Sabrina Marx ◽  
Revati Phalkey ◽  
Clara B Aranda-Jan ◽  
Jörn Profe ◽  
Rainer Sauerborn ◽  
...  

2021 ◽  
pp. 36-42
Author(s):  
Yury POLUKAROV ◽  
Olena ZEMLYANSKA ◽  
Nataliia KACHYNSKA ◽  
Liudmyla MITIUK

Purpose. Substantiate the need for development of new scientific and methodological foundations for forecasting occupational injuries and illnesses. Methodology. Analyze existing methods of occupational injuries and illnesses forecasting, propose a new algorithm for calculation of their levels, set scientific and methodological requirements to information analysis system used for the prevention of occupational illnesses. Findings. Modern methods of forecasting injuries make it possible to assess the effectiveness of preventive measures. However, there is no universal method for analyzing the occupational morbidity due to the different specifics of disease causes and manifestations which do not allow to conduct a realistic assessment of labor protection in a particular area over a given period of time. Therefore, it is the reduction in the level of occupational injuries and illnesses compared to the data obtained by the forecasting method that may be indicative of preventive measures effectiveness. At the same time, development of information analysis system of personal protective equipment continues to be a pressing issue (PPE). Originality. It has been proposed to develop a special mathematical tool for determining loss reduction and information analysis system, which will provide a forecasted estimate of occupational morbidity at an enterprise. To obtain a reliable forecast it is important to identify the average value of cases over a given period of time, which has been considered in this paper. Conclusions and Practical Significance. There are numerous methods available for analysis of occupational injuries and illnesses. Most of them, however, are unfit for the assessment of occupational diseases. Since chronic occupational illnesses have a cumulative nature, the rate of work-related diseases is more predictable than that of injuries and accidents. This makes it possible to determine the “occupational morbidity rate” provided that the time spent by workers in the area of exposure to occupational hazards is recorded together with reference data on the conditional level of exposure to each hazard. Keywords: forecasting, injuries, occupational morbidity, occupational safety activities, hazard, information analysis system.


Author(s):  
W.-Q. Mao

Smart City, whose main characteristics are intelligence and interconnection capability, has become an important goal of some cities’ development. This paper, based on urban three-dimensional geographic information characteristics, analyses 3D geographic information requirements in the Smart City construction and development process, proposes construction and management methods for 3D geographic information. Furthermore, this paper takes Shanghai Geographic Information Public Service Platform as an example, discusses 3D geographic information application in multiple fields, and proves that it is an effective ways to promote Intelligent City construction.


2016 ◽  
pp. 477-484
Author(s):  
Li Zhang

As a public service platform of geographic information, National Geospatial Data Center (NGDC) can provide geospatial metadata services for data producers and data users. This paper firstly analyzes the problems in the development and maintenance of geospatial metadata deployment system. Then it describes and analyzes the characteristics of PHP framework and the advantages of developing content management system (CMS) with it. Finally, how to design geospatial metadata deployment system based on PHP framework is discussed in this paper.


Author(s):  
Aneta George ◽  
Liam Peyton

The Graduate Attribute Information Analysis system (GAIA) was developed at the University of Ottawa to support data collection and performance management of graduate attributes for engineering programs at the program level and at the course level [10]. This paper reports on our research to develop support for cohort analysis and reporting by providing a single consistent view of graduate attributes (GA) and performance indicators for groups of students who started and finished an engineering program at the same time. This is supported by two special purpose reports: Graduate Attribute Report per Cohort (GAR/C) and Course Progression Report per Cohort (CPR/C). The former shows average GA data per attribute, the latter tracks student achievement as students progress in their program. It also adds to the historic data trend analysis for a program. Furthermore, a COOP Progress Report per cohort (COOPR/C) is generated.


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