• Journal of Environmental Policy
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• v.6 no.4
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• pp.103-127
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• 2007

This study presents the political economics models to explore the political landscape of special interest groups influencing the government's decision making process for implementing international environmental standard. Starting with the popular menu-auction types of lobbying frameworks in the literature, the study extends its scope of research to multi-principal and multi-agency based international interest group politics and its hybrid case in order to bring the interaction of the relevant interest politics to the fore. Within a specific factor model of international trade between 2 small open economies, we compare the political equilibrium environmental standards in different institutional frameworks which can be feasible in the sense of recently growing role of environmental interest group. Although the conventional finding suggests that cooperative bargaining between the two countries can attain the globally optimal level of the standard, the paper rather explains that the cooperation between the national interest groups and the hybrid case also generate the stricter standard then national interest politics usually do.

• Journal of the Korean Geographical Society
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• v.48 no.5
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• pp.629-650
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• 2013

This study reviews geographical research trends on 'New industrial agglomeration' in Korea and recommends research issues for further studies. Recent studies on industrial agglomeration region have typically concentrated on empirical case studies from new 'perspectives'. As a result, the establishment and theorizing of frameworks for analysis on industrial agglomeration have been given too little attention. To solve this problem research should be conducted to develop frameworks for analysis integrating noneconomic factors and existing economic factors, a strategy emphasized in new industrial agglomeration theory. By doing so, research investigating viability mechanism and generalization will be invigorated. Meanwhile, research focused excessively on social and cultural conditions of region-related networks between actors in economic space at specific scales should be excluded. In addition, academic research on vitalizing industrial agglomeration region, such as cluster policy, should be strengthened. In order to conduct these research objectives effectively, it is necessary to vitalize overall understanding among researchers of industrial agglomeration and provide a place for collaborative learning.

• Earthquakes and Structures
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• v.25 no.5
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• pp.369-383
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• 2023

Seismic resilience (SR) plays a vital role in evaluating and improving performance losses along with saving repair costs of structures from potential earthquakes. To further explore the developments, hotspots, and trend directions of SR, a total of 901 articles are obtained from the Web of Science (WoS) database. CiteSpace software is used to conduct a bibliometric analysis, which indicates an upward trend of publications in SR and explores the relationship of countries, journals, cited references, and keywords based on visual maps and detailed tables. Then, based on the results of the bibliometric analysis, a state-of-the-art review is conducted to further explore the current challenges and trend directions of SR. The trend directions can be divided into five categories: (a) SR assessments of infrastructure structures, (b) multi-hazard quantifications of SR, (c) seismic resilient structures, (d) refining and calibrating analytical models, and (e) multi-criteria decision-making frameworks for sustainability and SR.

• Journal of Information Technology Applications and Management
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• v.22 no.1
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• pp.1-15
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• 2015

Software is not only control and operational technology of computer, various system, and machines, but also knowledge handling and service technology for production, storage, and utilization of digital information. Many nations invest enormous budget in SW R&D to acquire core and original technology, and commercialize. To select and concentrate on SW R&D investment by segmenting diverse functions and element technologies consisting of sw technology, introduction of evaluation and analysis methodology on technology level utilizing reliable patent and bibliometrics is demanded these days. The purpose of this paper is to suggest some analysis frameworks of national technology level in the field of sw technology. Another practical purpose is to verify sw technology policy using qualitative and quantative indicators of patent and bibliometrics.

• Journal of the Korea Society of Computer and Information
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• v.22 no.3
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• pp.81-88
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• 2017

In this paper, we classified the weaknesses of C/C++ programs listed in CWE based on the diagnostic information produced at each stage of program compilation. Our classification identifies which stages should be responsible for analyzing the weaknesses. We also present algorithmic frameworks for detecting typical weaknesses belonging to the classes to demonstrate validness of our scheme. For the weaknesses that cannot be analyzed by using the diagnostic information, we separated them as a group that are often detectable by the analyses that simulate program execution, for instance, symbolic execution and abstract interpretation. We expect that classification of weaknesses, and diagnostic information accordingly, would contribute to systematic development of static analyzers that minimizes false positives and negatives.

• The Journal of Advanced Prosthodontics
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• v.12 no.1
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• pp.9-14
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• 2020

PURPOSE. The aim of this study was to investigate the effect of different numbers of heat treatments applied to superstructure porcelain on optical, thermal, and phase formation properties of zirconia. MATERIALS AND METHODS. Forty zirconia specimens were prepared in the form of rectangular prism. Specimens were divided into four groups (n = 10) according to the number of firing at heating values of porcelain. Color differences and translucency parameter were measured, and X-ray diffraction (XRD) analysis and differential scanning calorimetry (DSC) were performed. Data were analyzed with analysis of variance (ANOVA). RESULTS. There were no statistically significant differences in ∆E, TP, L, a, and b value changes of the zirconia specimens as a result of repetitive firing processes (P>.05). CONCLUSION. Although additional firing processes up to 4 increase peak density in thermal analysis, additional firing processes up to 4 times can be applied safely as they do not result in a change in color and phase character of zircon frameworks.

• Asia pacific journal of information systems
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• v.8 no.2
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• pp.37-51
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• 1998

This study attempts to draw a blueprint of risk analysis for Information Systems (IS). We introduce two main variables for measuring IS risk - business-impact intensity and IS-vulnerability index - through the investigation of information characteristics, business processes and human-related factors. IS-vulnerability index consists of two factors such as degree of openness and degree of preparedness to the threats. Based on these factors, we built two integrative frameworks for risk analysis and management: One is a conceptual framework to enhance the understandability of IS risk itself; the other is an integrative framework to improve the managerial insight of overall IS risk. We then conducted a field study to empirically validate the proposed framework using a structural equations modeling method. We found that IS maturity and business-impact intensity were positively correlated to degree of openness to the threats, while IS maturity was negatively correlated to degree of preparedness to the threats.

• Journal of the Korean Magnetic Resonance Society
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• v.23 no.2
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• pp.56-60
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• 2019

Study on the structure and dynamics of molecules at the atomic level is of great significance for understanding their function and stability as well as roles for various chemico-physical and biological processes. $^{17}O$ NMR spectroscopy has appeared as an elegant technique for investigating of the physicochemical and structural properties of oxygen-containing compounds such as metal organic frameworks and nanosized oxides. This method has drawn much attention as it provides unique insights into the properties of targets based on atomistic information of local oxygen environments which is otherwise difficult to obtain using other methods. In this mini review, we introduce and discuss the recent study and developments of $^{17}O$ NMR techniques which are tailored for the investigation on the structure and dynamics of water and inorganic materials.

• Educational Technology International
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• v.15 no.2
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• pp.171-199
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• 2014

Educational technology (ET) and learning sciences (LS) are two related disciplines that have shared interests in studying technologies for advancing human learning. This study conducted a content analysis of articles published in authoritative academic journals, Educational Technology Research and Development (ETR&D) and Journal of the Learning Sciences (JLS) from 2003 to 2012. By selecting and examining 93 issues with 429 articles during this decade with three analytical frameworks, the purpose of this study is to determine research trends precisely and create a scientific communication and theoretical connections for these two disciplines. The illustrated results indicate the dialogue between these two communities has begun yet accompanied by some certain limitations, whereas, they still need be more cooperative and communicational to move towards further integration, so as to contribute to promoting progressive education, learning theory and practice.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.