• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.259-264
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• 2007

Effective communicable disease surveillance systems are the basis of the national disease prevention and control. Following the increase in emerging and re-emerging infectious diseases since late 1990s, the Korean government has strived to enhance surveillance and response system. Since 2000, sentinel surveillance, such as influenza sentinel surveillance, pediatric sentinel surveillance, school-based sentinel surveillance and ophthalmological sentinel surveillance, was introduced to improve the surveillance activities. Electronic reporting system was developed in 2000, enabling the establishment of national database of reported cases. Disweb, a portal for sharing communicable disease information with the public and health care workers, was developed. In general, the survey results on usefulness and attributes of the system, such as simplicity, flexibility, acceptability, sensitivity, timeliness, and representa-tiveness, received relatively high recognition. Compared to the number of paid cases of national health insurance, reported cases by national notifiable disease surveillance system, and various sentinel surveillance system, the result of the correlation analysis was high. According to the research project conducted by KCDC, the reporting rate of physicians in 2004 has also greatly improved, compared with that in 1990s. However, continuous efforts are needed to further improve the communicable disease surveillance system. Awareness of physicians on communicable disease surveillance system must be improved by conducting education and information campaigns on a continuous basis. We should also devise means for efficient use of various administrative data including cause of death statistics and health insurance. In addition, efficiency of the system must be improved by linking data from various surveillance system.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.145-150
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• 2023

The subway is a public transportation that many people use every day. Line 2 especially has the most crowded stations during the day. However, the risk of crush accidents is increasing due to high congestion during rush hour and this reduces the safety and comfort of passengers. Subway congestion prediction is helpful to forestall problems caused by high congestion. Therefore, this study proposes machine learning classification models that predict subway congestion during commuting time. To predict congestion in Line 2 based in machine learning, we investigate variables that affect subway congestion through previous research and collect a dataset of subway congestion on Line 2 during rush hour from PUBLIC DATA PORTAL. The proposed model is expected to establish the subway operation plane to make passengers safe and satisfied.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.297-315
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• 2013

Anyone curious to easily access and learn Korean history has become interested in Korean history data bases, which will provide accurate and reliable historical information. Furthermore, user demands for information sharing and reusability, available through setting up a semantic web, have been increased, which have taken the shape of linked data. Efforts have been made to construct public data bases containing readily usable contents a user can understand and utilize with ease. They have been produced by several organizations, portal sites, and individuals, trying to deviate from existing mainstreams - expert-based text data bases. A problem with those data bases is that they have not considered such vital factors as the sharing and utilizing of information as a whole. This study suggests a LOD-based Korean history contents implementation system, providing rich information environment by way of multi-dimensional web-data connections. In doing so, this system has tried a historic information circulation service system which is based on information sharing and connecting.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.203-215
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• 2019

This study was conducted to identify the utilization of public health centers, as well as the individual characteristics and regional characteristics that affect their utilization based on data from the 2016 Community Health Survey, National Statistical Portal, and National Institute of Environmental Research. Independent samples t-tests, variance analysis, and multiple logistic regression analysis were used for analysis. Hierarchical multiple regression was used to analyze individual and regional characteristics. The results of hierarchical multiple regressions revealed that aged regions, women, older age individuals, respondents with lower education level and income level, walking practitioners, nutrition label readers, individuals experiencing depression, those who have received health checkups, those who are not covered by essential care, those who have spouses, and basic livelihood beneficiaries have increased use of public health centers. However, the use of public health centers decreased in stressors, and regions in which the population per 1,000, number of health care workers, health and welfare budget, fiscal independence, and unemployment rate were above the national average. As above, the central government and local governments need to analyze not only individual characteristics such as health behavior and psychological factors, but also regional characteristics, when establishing local health care policy.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• The Journal of Information Technology
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• v.4 no.1
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• pp.125-139
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• 2001

EDI(Electronic Data Interchange) works by providing a collection of standard message formats and element dictionary in a simple way for businesses to exchange data via any electronic messaging service. Open-edi is electronic data interchange among autonomous parties using public standards and aiming towards interoperability over time, business sectors, information technology and data types. The number of Internet services using XML/EDI has grown rapidly since it is easily expansible and exchangeable. To use this service, the client does not have to install EDI S/W but only needs internet browser. Consequently, it became much easier and faster to handle the trading process in an office. eBusiness SML (extensible markup language) electronic data interchange. eXedi is the service that realizes B2B of XML/EDI. eXedi can be used easily in small and medium sized companies. Companies in any place can access to eXedi using the existing Internet connection. XML/EDI provides a standard framework to exchange different types of data -- for example, an invoice, healthcare claim, project status -- so that the information be it in a transaction, exchanged via an Application Program Interface (API), web automation, database portal, catalog, a workflow document or message can be searched, decoded, manipulated, and displayed consistently and correctly by first implementing EDI dictionaries and extending our vocabulary via on-line repositories to include our business language, rules and objects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.78-84
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• 2017

Because the 'Internet of Things' and sensor network technology have become a new generation industry competitiveness with a development of Information Communication Technology, each local autonomous entity is trying to adopt a Smart City quickly. This requires an integrated platform inside of a smart city operation center. Established Smart City platform provides various services using CCTV information and ITS transportation information based on a two-dimensional map. The provision of advanced Smart City services will necessitate three-dimensional map information, building and facilities unit information, linked information with public data portal for service to the public. In this paper, the authors reviewed development trends of Smart City integrated platform and proposed mashup methods between BIM/GIS interoperability platform and external open data. BIM/GIS platform can provide spatial information services for indoor and outdoor seamlessly because it was developed based on GIS spatial data with BIM data. The linked external open data are V-World data, Seoul Open Data, and Architectural Data Open. Finally, the authors proposed the direction of development for BIM/GIS integrated platform to provide advanced Smart City services.

• The Journal of Bigdata
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• v.5 no.1
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• pp.181-188
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• 2020

As the size of the airport terminal grows in line with the rapid growth of aviation passengers, the advanced baggage handling system that combines various data technologies has become an essential element in order to handle the baggage carried by passengers swiftly and accurately. Therefore, this study introduces the method of analyzing the baggage handling capacity of domestic airports through the latest data analysis methodology from the process point of view to advance the operation of the airport BHS and the main points based on event log data. By presenting an accurate load prediction method, it can lead to advanced BHS operation strategies in the future, such as the preemptive arrangement of resources and optimization of flight-carrousel scheduling. The data used in the analysis utilized the APIs that can be obtained by searching for "Korea Airports Corporation" in the public data portal. As a result of applying the method to the domestic airport BHS simulation model, it was possible to confirm a high level of predictive performance.

• Journal of Microbiology and Biotechnology
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• v.16 no.2
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• pp.178-183
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• 2006

Microbes are one of the most important bioresources in bioindustry and provide high economic values. Although there are currently about 6,000 bacterial species with validly published names, microbiologists generally assume that the number may account for less than 1% of the bacterial species present on Earth. To discover the remaining species, studies of metagenomes, metabolomes, and proteomes related to microbes have recently been carried out in various fields. We have constructed an information system that integrates various data on microbial resources and manages bioinformation to support efficient research of microorganisms. We have designated this system 'Bio-Meta Information System (Bio-MIS).' Bio-MIS consists of an integrated microbial resource database, a microbial resource input system, an integrated microbial resource search engine, a microbial resource online distribution system, a portal service, and management via the Internet. In the future, this system is expected to be connected with various public databases. We plan to implement useful bioinformatics software for analyzing microbial genome resources. The Web site is accessible at http://biomis.probionic.com.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.1
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• pp.5-15
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• 2009

Purpose: The purpose of this study was to evaluate the quality of service and appropriateness of information provided in gastric cancer web sites. Method: The study investigated the status of the web sites retrieved when the keyword "gastric cancer" was searched on seven(7) different Internet portal sites. Among the retrieved information sites, 51 domestic websites, available on June and July 2008, were selected. They were evaluated based on two criteria, quality of service (7 items) and appropriateness of the information (11 items) on a 4-point scale($0{\sim}3$). The analysis of data was done using SPSS 12.0 PC+ program for descriptive statistics and ANOVA tests. Results: Findings revealed that the quality of service provided by the web sites had an average of $1.61{\pm}.55$. The score of information appropriateness was $.79{\pm}.64$. Among the studied websites, only 4(7.8%) scored higher than 22, placing them in the top 30%. Conclusion: This study suggests that most sites do not provide diverse types of gastric cancer-related information and that reliability is important in developing web-based programs related to gastric cancer in order to effectively promote and disseminate health information to the general public.