• Spatial Information Research
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• v.15 no.4
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• pp.371-383
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• 2007

The Korea Planning Support Systems (KOPSS) represent Korean style national policy and planning support systems using the GIS-based spatial analysis methods. The KOPSS refers to a kind of the spatial decision support systems (SDSS) or the planning support systems (PSS) for stakeholders' spatial decision-making. The KOPSS uses the existing individual databases obtained from the Architecture Information Systems (AIS) and Land Management Information Systems (LMIS) that have been constructed by information projects since the mid 1990s. The purpose of this paper is to suggest the development strategies and establish the theoretical frameworks of the KOPSS by considering the comprehensive basic composites of the GIS-based SDSS or PSS. For this, it deals with the basic concepts, the development strategies, the base environment strategies, and the promotion strategies of the KOPSS.

• Journal of KIISE:Databases
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• v.30 no.6
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• pp.585-592
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• 2003

In the spatial database systems, it is necessary to manage spatial objects that have two or more aspatial information with different security levels on the same layer. If we adapt the polyinstantiation concept of relational database system for these spatial objects, it is difficult to process the representation problem of spatial objects and to solve the security problem that is service denial and information flow by access of subject that has a different security level. To address these problems, we propose a polyinstantiation method for security management of spatial objects in this paper. The proposed method manages secure spatial database system efficiently by creating spatial objects according to user's security level through security-level-conversion-step and polyinstantiation-generation-step with multi-level security policy. Also, in case of user who has a different security level requires secure operations, we create polyinstance for spatial object to solve problems of service denial and information flow.

• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.7-20
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• 2010

This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 documents through a keyword searching method, this study suggested an algorithm, using HTML parsing techniques, which can extract a patent number, an applicant, and the US patent class information. The study also revealed an algorithm by which we can extract both patents and subsequent patents using their closely connected relationship, that is a very distinctive characteristic of US patent documents. Although the proposed method has several limitations, it can supplement existing databases effectively in terms of timeliness and comprehensiveness.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.610-632
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• 2024

Mobile Learning (M-learning) adoption and success in supporting students' learning engagement mainly depend on many factors. Therefore, this study systematically reviews the literature, synthesizes and analyzes the predictors of M-learning adoption, and uses success for students' learning engagement. Literature from 2016 to 2023 in various databases is covered in this study. Based on the review's findings, the factors that influence students' learning engagement when it comes to M-learning usage and adoption, can be divided into technical, pedagogical, and social factors. More specifically, technical factors include mobile devices availability and quality, connectivity to the internet, and user-friendly interfaces, pedagogical factors include effective instructional design, teaching methods, and assessment strategies, and social factors include motivation of students, social interaction and perceived enjoyment - all these factors have a significant impact on the M-learning adoption and use success. The findings of the review also indicated that M-learning has a key role in enhancing the learning engagement of students through different ways, like increasing their motivation, attention, and participation in their process of learning, paving the way for interaction and building relationships opportunities with peers and instructors, which in turn, can lead to strengthening the learning environment. The implications of these findings extend beyond immediate educational contexts, offering vital insights for future educational technology strategies and policy decisions, particularly in addressing global educational challenges and embracing technological advancements in learning.

• 한국디지털정책학회:학술대회논문집
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• 2006.12a
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• pp.379-386
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• 2006

The purpose of this paper is to analyze the implementation of the GIS infrastructure systems for the u-City, GIS base u-City represents spatial information derived fields, such as geographical distribution of the urban boundaries, physical configuration of the urban locations and cultural characteristics of the urban history. These three aspects relate to urban infrastructure systems implementation, urban monitoring center implementation, and spatial database implementation. In terms of the GIS based u-Ci쇼 urban infrastructure implementation systems, the u-City depends on IT contents and spatial features. IT contents are strongly related to IT839 strategy due to the national agenda is "u-Korea". GIS should contribute to u-City construction through the spatial analyses methods. For these methods various GIS functions will guide to u-City's distribution, location, and characteristics of urbanization. The infrastructure consists of road and road facilities, underground facilities, related agencies facilities, dispatch systems, environmental systems, and urban planning. These six units of the urban infrastructures have spatial databases that consist of spatial configuration, such as dots, lines, and polygons in order to draw the spatial distribution of the u-City GIS based u-City urban infrastructure implementation systems should deal with It convergence to generate fusion affects.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.257-264
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• 2014

This paper is to construction of the data mining preprocessing tool for efficient database marketing. We compare and evaluate the often used data mining tools based on the access method to local and remote databases, and on the exchange of information resources between different computers. The evaluated preprocessing of data mining tools are Answer Tree, Climentine, Enterprise Miner, Kensington, and Weka. We propose a design principle for an efficient system for data preprocessing for data mining on the distributed networks. This system is based on Java technology including EJB(Enterprise Java Beans) and XML(eXtensible Markup Language).

• Journal of KIISE:Databases
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• v.29 no.2
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• pp.148-157
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• 2002

Caching in meta-search engines can improve the response time of users' request. We describe the cache scheme in our meta-search engine in terms of its architecture and operational flow. In particular, we propose a popularity-driven cache algorithm that utilizes popularities of queries to determine cached data to be purged. The popularity is a value that represents the normalized occurrence frequency of user queries. This paper presents how to collect popular queries and how to calculate query popularities. An empirical performance evaluation of the popularity-driven caching with the traditional schemes (i.e., least recently used (LRU) and least frequently used (LFU)) has been carried out on a collection of real data. In almost all cases, the proposed replacement policy outperforms LRU and LFU.

• Journal of Distribution Science
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• v.20 no.12
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• pp.99-108
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• 2022

Purpose: This study attempted to identify determinants affecting research collaboration and R&D distribution activities, especially regarding facility and equipment leasing of small and medium enterprises (SMEs) in South Korea. The objective of this study was to find the most significant firm characteristics that affect firms participating in an R&D collaboration and distribution program and investing in R&D in terms of leasing payment for equipment. Research design, data, and methodology: This study analyzes which SMEs' characteristics influence external research cooperation activities by examining the SMEs that received government support for equipment leasing using multiple regression analysis and residual plots. The survey combined two databases: 1) a fact-finding survey of participating firms by the Ministry of SMEs and Startups, and 2) leasing information by the Korea Association of University, Research Institute and Industry. Results: The study found that firm size positively impacts R&D investment, R&D collaboration and distribution. Conclusions: The study provided evidence to policymakers and government officials that firms with more employees will more likely participate in government support programs. The study results also prove that government officials believe firm location does not impact R&D investment, R&D collaboration and distribution.

• The Journal of Korean Obstetrics and Gynecology
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• v.34 no.1
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• pp.15-33
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• 2021

Objectives: The purpose of this paper is to help the development of qualitative research in the field of Korean medicine and policy support for postpartum depression. Methods: Qualitative studies related to postpartum depression retrieved from five databases were evaluated independently by two researchers using the integrated criterion, Consolidated criteria for reporting qualitative research (COREQ). In addition, each subject of study was qualitatively synthesized. Results: A total of 1,374 papers were searched and 13 papers were finally selected. The results of the study using COREQ lacked information about the researchers. The results of the study were integrated into three themes: "Feeling Failure", "Struggling for self-identity and role of mother" and "Seeing Help and Recovery". Conclusions: Postpartum depression can be accessed through various methods such as Korean medicine counseling, acupuncture and herbal medicine, and further research and manual preparation is required.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.21 no.1
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• pp.95-114
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• 2023

During the decades after the Fukushima Daiichi Nuclear Power Station (FDNPS) accident, ambient dose rates have markedly decreased when compared to those at the early state of the accident. Government projects have been continuously conducted by surveying the ambient dose rate and radiocesium distributions. Airborne surveys using crewed helicopters and unmanned aerial vehicles (UAVs) are the best methods for obtaining an overall picture of the distribution. However, ground-based surveys are required for accurate measurements near the population. The differences between these methods include the knowledge of the post depositional behavior of radionuclides in land use. The survey results form the basis for policy decisions such as lifting evacuation zones, decontamination, and other countermeasures. These surveys contain crucial findings regarding post-accident responses. This paper reviews the survey methods of government projects and current situation around the FDNPS. The visualization methods and databases of ambient dose rates are also reviewed to provide information to the population.