• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.247-271
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• 2019

Uncertainty in scientific knowledge means an uncertain state where propositions are neither true or false at present. The existing studies have analyzed the propositions written in the academic literature, and have conducted the performance evaluation based on the rule based and machine learning based approaches by using the corpus. Although they recognized that the importance of word construction, there are insufficient attempts to expand the word by analyzing the meaning of uncertainty words. On the other hand, studies for analyzing the structure of networks by using bibliometrics and text mining techniques are widely used as methods for understanding intellectual structure and relationship in various disciplines. Therefore, in this study, semantic relations were analyzed by applying Word2Vec to existing uncertainty words. In addition, WordNet, which is an English vocabulary database and thesaurus, was applied to perform a network analysis based on hypernyms, hyponyms, and synonyms relations linked to uncertainty words. The semantic and lexical relationships of uncertainty words were structurally identified. As a result, we identified the possibility of automatically expanding uncertainty words.

• The Research Journal of the Costume Culture
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• v.27 no.3
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• pp.193-205
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• 2019

A trend analysis of research articles in a field of knowledge is significant because it can help in finding out the structural characteristics of the field and the future direction of research through observing change in a time series. We identified the structural characteristics and trends in text data (keywords) gathered from research articles which in itself is an important task in various research areas. The titles and keywords were crawled from research articles published from 2016 to 2018 in the Research Journal of the Costume Culture (RJCC), one of the representative Korean journal in the field of clothing and textile. After we extracted data comprising English titles and keywords from 195 published articles, we transformed it into a 1-mode matrix. We used measures from network analysis (i.e., link, strength, and degree centrality) for evaluating meaningful patterns and trends in the research on clothing and textile. NodeXL was used for visualizing the semantic network. This study observed change in the clothing and textile research trend. In addition to covering the core areas of the field, the subjects of research have been diversifying with every passing year and have evolved onto a developmental direction. The most studied area in articles published by the RJCC was fashion retailing/consumer psychology while aesthetic/historic and fashion industry/policy studies were covered to a more limited extent. We observed that most of the studies reflecting the identity of RJCC share subject keywords to a significant extent.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.89-101
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• 2021

Scale-up of ICT startups is not easy because of limited capabilities, lack of resources, and immature networks for the business. Therefore, this research selected a representative startup succeeded in scale-up and applied the ERIS model in analyzing their scale-up process in the initial stages of scale-up. Analysis of qualitative data collected revealed that the entrepreneurs' experience, convergence of knowledge between diverse industries, participation in public-sector-led R&D, management of communication channels between customers and businesses, and utilization of project-oriented campaigns are found to be critical success factors in scaling up ICT startups. Academically, this study validates the utility of ERIS model in analyzing the scale-up process. For practitioners, this study will be used as a reference for strategic development in seucring the competitiveness of the initial market of ICT startups and scale-up.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.1-11
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• 2021

Prior research regarding the macro patterns of industry convergence has focused on the inter-industry patent network and cross-industry movements of products or services. This article provides a novel approach, according to which human resources embodying explicit and implicit knowledge and technologies are important media driving industry convergence. Drawing on GOMS data (2015-2019) and using information of university graduates' academic majors and their occupations, this article proposes an analytic strategy by which to understand the macro patterns and structural features of industry convergence. Specifically, we build unbalanced bipartite networks of major-industry (occupation) relations, and construct the measures of the industry's niche width and the measure of the average degree of convergence of majors that each industry is linked to. By crossing the two measures, we identify four groups of industries(occupations); specialist, generalist, partial convergence, and full convergence. The convergence group is composed of industries (occupations) that acquire human resources from a number of academic majors each of which plays a role of glue connecting several local industries.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.521-540
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• 2021

This research categorizes the factors of digital capital accumulated both in personal and social level into digital access and digital competence, and empirically analyzes how the use of public libraries effects on the formation of digital capital. As a result, it was found that participation in public library programs, the use of information services, and the utilization of digital collections had positive effect on the formation and accumulation of digital capital at the personal and social level. In contrast, it was analyzed that the use of digital collections in public libraries did not significantly affect the creation of digital contents or reciprocal collaboration based on online networks. Therefore, in order for public libraries to fully support the formation of digital capital, they should not only provide knowledge and information which is a traditional role of public libraries, but also play a role as a digital-based cooperative system.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.12
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• pp.13-20
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• 2018

This research is to analyze the public cases of information facilities in terms of central circulations in multi level volumes such as atrium or court which provide visual intervention between different spaces and physical connections such as bridges. Hunt Library design balances the understood pre-existing needs with the University's emerging needs to create a forward-thinking learning environment. While clearly a contemporary structure within a traditional context of the NCSU campus, the Hunt Library provides a positive platform for influencing its surroundings. Both technical and programmatic innovations are celebrated as part of the learning experience and provide a versatile and stimulating environment for students. Public library as open spaces connecting to an interactive social domain over communities can provide variety of learning environments, or technology based labs. There are many cases of the public information spaces with dynamic networks where participants can play their roles in physical space as well as in the intellectual stimulation. In the research, new public projects provide typologies of information spaces with user oriented media. The research is to address a creative transition between the reading space and the experimental links of the integration of state-of-the-art technology is highly visible in the building's design. The user-friendly browsing system that replaces the traditional browsing with the virtual shelves classified and archived by their form, is to reduce the storage space of the public library and it is to allow more space for collaborative learning. In addition to the intelligent robot of information storages, innovative features is the large-scale visualization space that supports team experiments to carry out collaborative online works and therefore the public library's various programs is to provide visitors with more efficient participatory environment.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.9
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• pp.29-40
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• 2019

The concept of smart city is understood as an indispensable component of urban regeneration projects in small cities in terms of providing a better urban environment and efficient living systems with a limited budget. Recently, the Korean government revised the law that related to the construction of the smart city and started to implement the smart city concept not only to new-large urban development but also to small-existed regeneration projects. However, it is difficult for small and medium-sized cities that are suffering from the insufficient professional workforce; knowledge supports for high-tech and lack of professional networks to proceed smart city planning and project that containing regional characteristics. This paper aims to examine the effective way of urban regeneration for small and medium-sized cities through smart city planning and strategy. As an important case, this paper looks at the 'Smart City Challenge' competition that was hosted by the US Department of Transportation in 2015. It examines the background and operation process of the smart city challenge competition, and then analyses each city's strategy and characteristics of seven finalists. This paper highlights the several key lessons to Korean cities: 1) the importance of national government's support in financial and professional resources; 2) the cooperation with local governments and IT corporations which provides realistic and detailed technical solutions; 3) the holistic and integrated approach to urban regeneration starting from transportation issues; 4) the necessity of the government's clear visions and guidelines toward the smart city.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.235-242
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• 2022

The ultimate motive of the paper is to establish whether financial inclusion (FI) has a consequential impact on the Sustainable Development (SD) of India. This study uses one model for the assessment of the influence of FI through the Co-Operative bank network on SD. This is purposely done to analyze the absolute impact of the role of the Co-Operative bank network in the said context. The sample encompasses data taken from 28 states and 3 Union Territories for two years (FY2018-FY2020). Assessment of data for the remaining Union Territories is not undertaken for the reason of the non-availability of data for other Union Territories. This study uses Panel Data Analysis (PDA) to establish the nexus of the relation between the said variables. Results of this study reveal elevated levels of SD resultant of increased FI thereby indicating a positive and significant relationship between the said variables. Unlike previous studies, this study gives India-specific significant findings, which suggests policy formulation for increasing the numbers and improving the governance of Co-Operative bank networks for SD. Co-Operative bank network as a proxy despite having high weighted significance in FI has not been incorporated in any recent study as per the last updated knowledge of authors.

• The Journal of Korean Institute of Information Technology
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• v.17 no.9
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• pp.99-112
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• 2019

Cracks on pavement surfaces are critical signs and symptoms of the degradation of pavement structures. Image-based pavement crack detection is a challenging problem due to the intensity inhomogeneity, topology complexity, low contrast, and noisy texture background. In this paper, we address the problem of pavement crack detection and segmentation at pixel-level based on a Deep Neural Network (DNN) using gray-scale images. We propose a novel DNN architecture which contains a modified U-net network and a high-level features network. An important contribution of this work is the combination of these networks afforded through the fusion layer. To the best of our knowledge, this is the first paper introducing this combination for pavement crack segmentation and detection problem. The system performance of crack detection and segmentation is enhanced dramatically by using our novel architecture. We thoroughly implement and evaluate our proposed system on two open data sets: the Crack Forest Dataset (CFD) and the AigleRN dataset. Experimental results demonstrate that our system outperforms eight state-of-the-art methods on the same data sets.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.79-88
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• 2021

In this paper, we propose a API Gateway technique for the expansion of human resource management module, one of the ERP functions. The institution has introduced ERP (Enterprise Resource Planning) based on its efforts to transform all human and physical resources into business competitiveness and its response to the digital knowledge informatization environment, and listed it as multiple success factors. Human resource management is one of the factors that have been dealt with. However, ERP's Human Resources Management Module remains in the role of functional personnel management. How to utilize human resources begins with navigating and recognizing human resources. The proposed API Gateway technique leverages blockchain networks to design and implement APIs for human resource sharing and navigation, including the possibility of extending ERP's human resource management module. Secondly, it was designed and implemented using a smart contract that behaves like an API for preventing information forgery. The proposed method will not only be used as a tool that can actively utilize human resources, but will also be a complete resource for utilizing big data technology.