• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.3
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• pp.7-15
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• 2019

Cloud computing markets are rapidly growing as cost savings and business innovation are being carried out through ICT worldwide. In line with this paradigm, the nation is striving to introduce cloud computing in various areas, including the public sector and defense sector, through various research. In the defense sector, DIDC was established in 2015 by integrating military, naval, air and military computing centers, and it provides cloud services in the form of IaaS to some systems in the center. In DIDC and various future cloud defense systems, It is an important issue to ensure availability in cloud defense systems in the defense sector because system failures such as network delays and system resource failures are directly linked to the results of battlefields. However, ensuring the highest levels of availability for all systems in the defense cloud can be inefficient, and the efficiency that can be gained from deploying a cloud system can be reduced. In this paper, we classify and define the level of availability of defense cloud systems step by step, and propose the strategy of introducing Erasure coding and failure acceptance systems, and disaster recovery system technology according to each level of availability acquisition.

• The Korean Journal of Archival Studies
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• no.27
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• pp.3-33
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• 2011

Despite the Public Records Management Act in effect for more than 10 years and the various achievements of 'Records management Innovation' made by the former government, records management in Korea still remains unsatisfactory in many fields. Especially one of the main concerns is about the records centers in the public offices failed to work efficiently. There remains lots of so-called ancient regime elements in the records center system, which causes the lack of stability. Divisions of general affairs in the public offices had played main role in records management for more than 50 years since the establishment of the government, and their role was limited to take over some records created and to manage the poor stack room. According to the Public Records Management Act revised in 2007, data center was renamed to records center and it was obliged to place records center under the office of planning management or the office of administration. But records centers have been nevertheless operated at a very formal level in most public offices. It is the real state of affairs that professional records management system interconnecting records office, records center and archives is not achieved. Why is it? This article is an answer to this question. This article attempt to find out on the inner causes such as structure of records center, records management profession, records management methodology, and above all historical background. In addition, it put stress on the necessity of definite separation between records office and records center and assurance of independent operation of records center for the normalization of the records management system. Improvement of methodology including records management process is also of great importance. And the standardization of records management business of the records center is suggested as one of the main tasks on the basis of the accumulation of 'best practices of records management' in the cooperation with the records management community.

• Journal of the Economic Geographical Society of Korea
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• v.22 no.1
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• pp.96-109
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• 2019

As the role of universities as a civic university contributing to regional development has been emphasized, industry-academic cooperation projects are increasingly focused on quadruple helix interactions of university, government, business and civic society. Drawing upon focus group interviews, we divided place-based industry-academic cooperation projects into four different types and stages of development, according to two indicators of network participation and network strength. Although the proportion of projects that were in the early stages of development was overwhelmingly high, some universities developed a close cooperative system with the local community to enhance the effectiveness of the industry-academic cooperation projects and to implement them in an advanced stage. These findings suggest that the LINC+ project, which has been criticized for its policy effectiveness, will not only contribute to enhancing policy effectiveness through place-based projects but also enhance the role of universities as the main body of regional innovation.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.153-160
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• 2019

In this study, The purpose of this study is to analyze how the rating scale and review contents attributes of social network-based services and products affect consumer purchasing patterns. information provided by screening the main factors. These analyzes are closely and quickly integrated between individuals and businesses, and enable to analyze the transaction that the impact of changing consumers on consumption and purchasing through the usefulness and a priori estimates of reviews and ratings at this time when networks and smart technologies are involved in a wide range of consumer activities. For this study, hierarchical analysis (AHP) and delphi (Delphi) methods applied to classify the high end variables into usefulness, technicality and value, Each subvariable was grouped into three factors and analyzed for importance through evaluation weights. As a result, we could analyze the importance of durability, usefulness, technological innovation, and cost and quality of value. Therefore, this study is expected to provide supplementary and additional useful information to consumers and companies participating in economic activities in various ways by simultaneously analyzing the review score and the reliability of posting information provided by verifying the main factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.568-578
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• 2021

Patents that are research results from industry-university cooperation (IUC) are a source of innovation, and play an important role in economic growth, such as technology transfer and commercialization. For this reason, there are many efforts to revitalize IUC, but in general, company patents are achievements that can be commercialized, rather than research achievements, so not all patents are used for business, even after their creation as the outcome of IUC. Therefore, this research supports the design of measures in which IUC can ultimately be linked to successful utilization of patents by identifying the purposes of IUC, even after it has been successfully promoted, and patents have been filed as a result. To this end, first, the patents registered for industry-academia cooperation in the United States are collected, and second, a predictive model is designed, with unexpired and expired patents predicted using machine learning techniques. The final identified patents are intended to derive available factors in terms of marketability and technicality. This study is expected to help predict the utilization of unexpired and expired patents, and is expected to contribute to setting goals for research results from technical cooperation between corporate and university officials planning early IUC.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.194-204
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• 2022

This study examined the social capital and geographical gaps of local television stations using web data gathered through website crawling. URLs for 16 local MBC websites were collected. MBC is an abbreviation for Munhwa Broadcasting Corporation, one of South Korea's largest television and radio broadcasters. Munhwa is a Sino-Korean term that means "culture." It initially determined which institutions local broadcasting stations were linked to using a Web Impact Report. To investigate the specific connection type, URL information was classified using the n-tuple helix model, followed by 2-mode network analysis. The n-tuple helix model is an analysis method that extends the standard university-business-government triple-helix model by including a new network innovation originator. As a result, local broadcasting stations relied heavily on activities like as festivals, performances, and exhibitions to engage the local community. Local stations in Daegu-Gyeongbuk area and the Busan-Ulsan-Gyeongnam area were identified as having the most diverse connections to the local population among other regions.

• Journal of Appropriate Technology
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• v.6 no.2
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• pp.200-207
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• 2020

The purpose of the establishment of Fab Lab is to promote the sustainable development of local communities around the world. To this end, The Fab foundation are preparing a resource-circulating society that maintains a city's self-sufficiency rate of 50% or more by 2054. In developed countries, Fab Lab is not only a manufacturing space for startup support, but an open innovation space for learning and creation. In addition, in emerging countries, Fab Lab is playing a role as a digital production center to create and share appropriate new technologies by reflecting the needs of local communities. India has 70 Fab Labs, the largest emerging country, ahead of Russia's 48. India's Fab Lab is conducting a collaboration project through regular meetings held every six months. The subject of this study, Fab Lab Vigyan Ashram, is defined as a place to transfer the concept of digital lab to alternative schools in rural India. In this study, we looked at a case in which an alternative school for an agricultural community called Vigyan Ashram, the modern version of the Gurukula system, successfully combined with the digital fabrication called Fab Lab to become a new citizen-led making community of the 4th Industrial Revolution. Based on this, we explored the development model of the Indian Fab Lab that fits the local situation.

• Journal of Korea Trade
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• v.24 no.7
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

• Journal of East Asia Management
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• v.2 no.1
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• pp.105-132
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• 2021

The purpose of this study is to summarize recent research on new product development (NPD) and to examine the direction of future research on NPD. In recent years, product development has also become more diversified due to the formation and disappearance of new markets, the increasing commoditization of products, and the emergence of new technological infrastructures such as ICT and crowdsourcing. In addition, NPD research is also in a situation where new research is emerging along with the progress of research in related areas, such as open innovation and customer participation. On the other hand, research on NPD has become increasingly fragmented into themes related to NPD as research progresses, making it more difficult to grasp the overall picture of NPD research, although review articles on NPD have been written. Not many review articles have been written in a way that goes beyond the individual themes of NPD research. However, even though it is impossible to look at NPD research as a whole, this study believe that by daring to conduct an exhaustive review of recent NPD research, rather than individual issues, and by understanding the types of discussions that have taken place in recent NPD research, this study can identify areas that require further discussion. Based on the above, the purpose of this study is to comprehensively examine and organize the topics and issues that have been dealt with in recent NPD research, point out the topics that have not been adequately dealt with in previous research, and indicate the direction of future research. This study found that (1) half of the previous studies this study reviewed dealt with the topic of collaboration in NPD, (2) existing studies on NPD assume that the purpose of NPD is to gain competitive advantage through differentiation, but the formation of the market itself through NPD has not been discussed However, it became clear that there has been no discussion of the formation of the market itself through NPD. While the formation and disappearance of new markets has become a common phenomenon in recent years as the competitive environment changes more and more rapidly, the formation of new markets through NPD may also be discussed as a new research area of NPD. However, the formation of new markets through NPD could be discussed as a new research area of NPD. This study examined the possibility of discussing the formation of new markets through NPD by using market category studies.

• Journal of the Korean Institute of Gas
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• v.26 no.4
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• pp.41-57
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• 2022

The global demand for carbon neutrality in response to climate change is in a situation where it is necessary to prepare countermeasures for carbon trade barriers for some countries, including Korea, which is classified as an export-led economic structure and greenhouse gas exporter. Therefore, digital transformation, which is one of the predictable ways for the carbon-neutral transition model to be applied, should be introduced early. By applying digital technology to industrial gas manufacturing facilities used in one of the major industries, high-tech manufacturing industry, and hydrogen gas facilities, which are emerging as eco-friendly energy, abnormal detection, and diagnosis services are provided with cloud-based predictive diagnosis monitoring technology including operating knowledge. Here are the trends. Small and medium-sized companies that are in the blind spot of carbon-neutral implementation by confirming the direction of abnormal diagnosis predictive monitoring through optimization, augmented reality technology, IoT and AI knowledge inference, etc., rather than simply monitoring real-time facility status It can be seen that it is possible to disseminate technologies such as consensus knowledge in the engineering domain and predictive diagnostic monitoring that match the economic feasibility and efficiency of the technology. It is hoped that it will be used as a way to seek countermeasures against carbon emission trade barriers based on the highest level of ICT technology.