• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.81-87
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• 2018

With the recent change of healthcare environment including rapid technological development, evidences are more and more important and necessary to support relevant policies in health technology assessment to provide safe and effective health services, utilizing medical resources efficiently. Despite of the emphasis on the importance of real world data and real world evidence in health care research, current infrastructure supporting clinical research is considerably weak due to absence of legal and institutional basis. However, in accordance with the Article 26 of the Health and Medical Technology Promotion Act, there is a limited legal apparatus that can be used only in public data with other dataset for the purpose of healthcare technology assessment at the National Evidence-based Collaborating Agency. Although the use of linked data from various sources was often required in the field of clinical research, it was not yet working well due to insufficient environmental conditions. In order to support the decision-making of medical practice and health care policies, data-linking platform for clinical research is needed. If the legal system that can link up to the data of the private institutions without violating the significant value such as the protection of private informations is established, it will be a decisive foundation reinforcing the researches and policy making processes for the improvement of the national health care system.

• Journal of Environmental Health Sciences
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• v.46 no.2
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• pp.232-244
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• 2020

Objectives: The purpose of this study is to develop a management system for the safe handling of chemicals and related health management based on reporting under the Chemical Control Act (CCA). It is used to search handling information by constructing data linked to the name of companies, chemicals, products, etc. Methods: Due to the differences in submission periods for each reporting regulation of the Chemical Control Act, the data used is as follows: A statistical survey collected 26,222 companies in 2014 and 2016, Pollutant Release Transfer Registers (PRTR) collected 4,234 companies in 2015-2017, performance reports by handlers of hazardous chemical substances collected 14,658 companies in 2016-2018, and declarations for import of toxic chemicals collected 892 companies in 2016-2017. The total information on 36,080 companies is standardized based on company ID, name, business registration number, address, and more. The data were classified into information such as company, chemical, and product name and amounts handled and released, and then extracted according to criteria to establish relationships among classified information. Results: A search service was developed for handling information on chemical substances for reporting data by linking four reporting data: statistical survey, PRTR, performance report by handler of hazardous chemical substances, and declaration for import of toxic chemicals under the CCA. It was composed of five menus to search by regulation type, reporting regulation, companies and chemicals, and system management. Conclusion: It is necessary to use data linked by company, region, and chemical to respond and to prevent chemical accidents. In addition, these items can be utilized to perform handling and safety management of chemicals according to whether regulations under the CCA may be implemented.

• Journal of Korea Technology Innovation Society
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• v.15 no.2
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• pp.443-460
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• 2012

Technology is closely related to industrial development and various studies have been performed to understand the linked structure for knowledge flow between the technology and industry. The research, however, wasn't carried out to flow for Korea National Research and Development projects. In this study, linked structure for technology-industry was discussed by utilizing patent data performed in actual National R&D using NTIS Information of the national research and development, and then it was analyzed how knowledge flows between the technology and industry are flowing. It should be defined that the individual applications expected by researchers at the start of the research and technology-industry applications actually applied from the research performances after research was completed. As a result, it was confirmed in most projects the flow of knowledge was occurring to predicted industries before the start of the R&D. However, the technology was applied to unexpected industry in three industries such as Y09(medical, precision and optical instruments), Y10(electrical and mechanical equipment), Y11(automotive and transportation equipment). The results of this study will be able to contribute to planning for efficient investment strategy of technology-industry by investigating the technology-industry knowledge flow relations of national R&D projects.

• Journal of Internet Computing and Services
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• v.25 no.4
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• pp.109-119
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• 2024

This study aims to contribute to the initial research on on-device AI in an environment where generative AI-based services on mobile and other on-device platforms are increasing. To derive success strategies for generative AI-based chatbot services in a mobile environment, over 200,000 actual user experience review data collected from the Google Play Store were analyzed using the LDA topic modeling technique. Interpreting the derived topics based on the Information System Success Model (ISSM), the topics such as tutoring, limitation of response, and hallucination and outdated informaiton were linked to information quality; multimodal service, quality of response, and issues of device interoperability were linked to system quality; inter-device compatibility, utility of the service, quality of premium services, and challenges in account were linked to service quality; and finally, creative collaboration was linked to net benefits. Humanization of generative AI emerged as a new experience factor not explained by the existing model. By explaining specific positive and negative experience dimensions from the user's perspective based on theory, this study suggests directions for future related research and provides strategic insights for companies to improve and supplement their services for successful business operations.

• Journal of Korea Water Resources Association
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• v.38 no.7 s.156
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• pp.575-584
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• 2005

The judgement model to warn of possible pollution accident is constructed by multi-perceptron, multi layer neural network, neuro-fuzzy and it is trained stability, notice, and warming situation due to developed standard axis. The water quality forecasting model is linked to the runoff forecasting model, and joined with the judgement model to warn of possible pollution accident, which completes the artificial intelligence warning system. And GUI (Graphic User Interface) has been designed for that system. GUI screens, in order of process, are main page, data edit, discharge forecasting, water quality forecasting, warming system. The application capability of the system was estimated by the pollution accident scenario. Estimation results verify that the artificial intelligence warning system can be a reasonable judgement of the noized water pollution data.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.109-134
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• 2015

In the Korean wave 3.0 age, it is needed to prepare how to globalize and hold Korean culture through development of various Korean wave culture contents from existing contents focused on media. The goal of this study is to establish the foundation for developing the various Korean wave culture contents as linking information about other culture contents as well as food culture by extending Korean culture contents service based on LOD. For this purpose, this study established and assorted the concept of food culture through the literature review and case study and analyzed the applicability of the services of food culture contents based on LOD. Futhermore, this study provides the basis on extension of Korean wave culture service and suggests the process of implementation of food culture LOD and service model.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.263-278
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• 2011

This study analyzed the level of 326 academic librarians awareness, usability and counter strategies on the Library 3.0. The results revealed the awareness level in the following order: that (1) Mobile Library (2) Semantic Search (3) AI(Artificial Intelligent) (4) Cloud Computing (5) Ontology (6) Linked Data. The order of the future usability for the Library 3.0 was ranked (1) Mobile Library (2) Linked Data (3) Semantic Search (4) Cloud Computing (5) AI and (6) Ontology. To conclude, the level of awareness and the usability of Library 3.0 were shown to be statistically significant. There are, however, some discrepancies in awareness differ across librarians and regions. Moreover, the level of awareness for the Library 3.0 did influence the library's organizational performance but the individual librarian's competences only.

• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.388-397
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• 2012

Recently, one of the received attraction fields in web based service is 'Human Relationship Service' that is called SNS. This relationship map service is able to deliver information to user more easily and visually because it is intuitive data that is linked with offline real world. While past map service put physical real information in the map, present map service is evolving into new communicative platform that expresses social relationship beyond simple search platform that shows real world. In this paper, we propose smart social grid system using sketch map that is based on online map service structure. This system has features such as standardized interface provision for various SNS, use to governance hub tool in case of establishing a personal network through expanded social grid, a role of bridge to mashup software linked with other SNS, user environment construction that reproduces social grid data, and the faster service setup by improved search technology.

• The Journal of the Korea Contents Association
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• v.1 no.1
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• pp.15-23
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• 2001

It is difficult to figure out the specific contents of the buildings in the internet spatial area, since those data on the internet present only the location of buildings and the outlines of lands on which buildings are located, An experimental study for the view management of building information at internet urban spatial area was conducted on the Web-GIS based map using hyper map. With the building information on the 2-D map, modified from the previous numerical map and the regional building information and additional information, a new form of building through 3-D icons was shown on the internet spatial area. This study shows the Web-based building management system, which is designed to manage attribute data about hyper-linked buildings of 2.5-D icons and to reproduce visual building information by putting a variety of information into hyper-linked icons on the hyper map. This system not only complements the lack of consistency between real buildings and those on the map, but also provides users with more familiar urban space, so that everybody can utilize the building information as long as he has access to the internet.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.4089-4093
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• 2016

Purpose: This study aimed to explore the association of ${\beta}-catenin$ expression pattern with pathological response after neoadjuvant chemotherapy in breast cancer (BC) patients. Materials and Methods: In this retrospective exploratory study, data for 50 BC patients who received neoadjuvant chemotherapy were recorded. ${\beta}-catenin$ expression in tumours was assessed using immunohistochemistry and classified as either membranous or cytoplasmic according to the pattern of staining. Distributions of different clinico-pathological parameters according to ${\beta}-catenin$ expression were assessed using the Chi-square test. Logistic regression analysis was used to assess any relation of the pattern of ${\beta}-catenin$ expression with the pathological response. Results: Cytoplasmic ${\beta}-catenin$ expression was detected in 34% of BCs. Among our cases, 52% were hormonal receptor (HR)-positive, 24% were HER2-positive, 74% were clinical stage III and 74% received both anthracycline and taxane-based chemotherapy. Patients with cytoplasmic expression were more commonly younger than 40 years at diagnosis (cytoplasmic, 41.2% vs. no cytoplasmic expression, 12.1%, p=0.03). By doing t-test, cytoplasmic ${\beta}-catenin$ expression was linked with a higher body mass index compared to membranous-only expression ($mean{\pm}SD$ $33.0{\pm}4.47$ vs. $29.6{\pm}6.01$, respectively, p=0.046). No significant associations were found between ${\beta}-catenin$ expression and other parameters such as HR and HER2 status, or clinical stage. Complete pathological response (pCR) rate was twice as great in patients with membranous expression but without statistical significance (membranous-only, 33.3% vs. cytoplasmic, 17.6%, OR= 2.3, 95% CI= 0.55-9.87, p=0.24). Conclusions: This study suggests that cytoplasmic ${\beta}-catenin$ expression may be linked with lower probability of achieving pCR after neoadjuvant chemotherapy. These data need to be validated in a larger cohort of patients.