• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.101-115
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• 2020

In this paper, big data analysis method was used to find out global trends in autonomous driving and to derive activate spatial information services. The applied big data was used in conjunction with news articles and patent document in order to analysis trend in news article and patents document data in spatial information. In this paper, big data was created and key words were extracted by using LDA (Latent Dirichlet Allocation) based on the topic model in major news on autonomous driving. In addition, Analysis of spatial information and connectivity, global technology trend analysis, and trend analysis and prediction in the spatial information field were conducted by using WordNet applied based on key words of patent information. This paper was proposed a big data analysis method for predicting a trend and future through the analysis of the connection between the autonomous driving field and spatial information. In future, as a global trend of spatial information in autonomous driving, platform alliances, business partnerships, mergers and acquisitions, joint venture establishment, standardization and technology development were derived through big data analysis.

• 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.

• International Area Studies Review
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• v.21 no.1
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• pp.163-179
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• 2017

Iran has been focused on FDI by global automobile companies after the economic sanction on Iran was removed except primary sanction. In this paper, some strategies for Korean Automobile Industry to branch out into Iran are suggested. For the purpose, Iran's automobile industry and characteristics are examined. The market situation is analyzed qualitatively and quantitatively. In passenger cars sector, Korean automobile companies would be better to wait and see the development of US-Iran relationships while exporting CKD sets of cars to Iran. It can be a good strategy, however, to put parts companies into Iran first because of Iran Government could be displeasing with exporting CKD only. FDI, licensing, and joint venture are all available for the parts companies. Motor companies can clear the regulation of auto-parts localization proportion by the method. The parts companies will be able to do key roles as supply chains after OEM branch out into Iran. It is also advisable to upgrade outpost in Iran into frontline for exporting cars to MENA area. In such a case it will be a prerequisite to develop a role-division model with facilities in East Europe. It could be called Parts first-then cars strategy. In commercial cars sector, it can be suggested to leverage natural gas as a link to branch out into Iran. Iran government wishes to develop natural gas resources. The strategy can be summarized that automobile companies carry out producing CNG buses in Iran while energy companies are drilling and producing natural gas.

• (The) Korean Journal of Advertising
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• v.27 no.4
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• pp.71-90
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• 2016

Managers of firms often wonder whether advertising expenditure is a mere expense or an investment with foreseeable future returns. When top management makes a decision on the level of advertising expense, it must consider whether an increase in advertising spending will positively affect brand loyalty and the increased brand loyalty will positively affect profitability and firm value. We investigate the industry-specific effects of advertising spending on marketing and the effect of loyalty on financial performances using top companies in Korea, specifically, 184 firms' data from year 1998 to 2014. The empirical results of a fixed effect model indicate that the effects of advertising on customer satisfaction index and loyalty on the firms' financial performance are positive. In service industry, unlike manufacturing industry, advertising has a significantly positive effect Brand Loyalty. In addition, Brand Loyalty had positive impacts on ROA and ROE as profitability index, and Tobin's q, a market-value index. The research results suggest that advertising in service industry should be considered as customer satisfaction investment and the increased Brand Loyalty as a profit for present and a business investment for the future respectively.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.3
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• pp.39-52
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• 2006

Recently purpose is used by an crucial part to security management when collecting data about privacy. The W3C(World Wide Web Consortium) describes a standard spec to control personal data that is provided by data providers who visit the web site. But they don't say anymore about security management about personal data in transit after data collection. Recently several researches, such as Hippocratic Databases, Purpose Based Access Control and Hippocratic in Databases, are dealing with security management using purpose concept and access control mechanism after data collection a W3C's standard spec about data collection mechanism but they couldn't suggest an efficient mechanism for privacy protection about personal data because they couldn't represent purpose expression and management of purposes sufficiently. In this paper we suggest a mechanism to improve the purpose expression. And then we suggest an accesscontrol mechanism that is under least privilege principle using the purpose classification for privacy protection. We classify purpose into Along purpose structure, Inheritance purpose structure and Stream purpose structure. We suggest different mechanisms to deal with then We use the role hierarchy structure of RBAC(Role-Based Access Control) for flexibility about access control and suggest mechanisms that provide the least privilege for processing the task in case that is satisfying using several features of purpose to get least privilege of a task that is a nit of business process.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.1123-1132
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• 2012

Many domestic organizations are introducing and operating various information security management systems capable of coping with technical, administrative, and legal issues comprehensively and systematically, in order to prevent various infringement incidents such as personal information disclosure and hacking preemptively and actively. However, empirical analyses regarding the extent to which an information security management system contributes to information security performance have not been fully conducted, even though enterprises and organizations are actively introducing such systems in order to achieve their information security objectives as a part of their organizational management activities in line with their respective business, by investing considerable effort and resources in developing and operating these systems. This approach can be used to apply, develop, and operate the information management system actively within an organization. this study focused on analyzing how each specific phase of the information security management system affects information security performance, compared with previous studies, which generally focus on the information security control item in analyzing information security performance. The information security management system was analyzed empirically to determine how the Security PCDA cycling model affects information security performance.

• Journal of radiological science and technology
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• v.28 no.4
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• pp.317-325
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• 2005

The recent medical treatment guidelines and the development of information technology make hospitals reduce the expense in surrounding environment and it requires improving the quality of medical treatment of the hospital. That is, with the new guidelines and technology, hospital business escapes simple fee calculation and insurance claim center. Moreover, MIS(Medical Information System), PACS(Picture Archiving and Communications System), OCS(Order Communicating System), EMR(Electronic Medical Record), DSS(Decision Support System) are also developing. Medical Information System is evolved toward integration of medical IT and situation si changing with increasing high speed in the ICT convergence. These changes and development of ubiquitous environment require fundamental change of medical information system. Mobile medical information system refers to construct wireless system of hospital which has constructed in existing environment. Through RFID development in existing system, anyone can log on easily to Internet whenever and wherever. RFID is one of the technologies for Automatic Identification and Data Capture(AIDC). It is the core technology to implement Automatic processing system. This paper provides a comprehensive basic review of RFID model in Korea and suggests the evolution direction for further advanced RFID application services. In addition, designed and implemented DB server's agent program and Client program of Mobile application that recognized RFID tag and patient data in the ubiquitous environments. This system implemented medical information system that performed patient data based EMR, HIS, PACS DB environments, and so reduced delay time of requisition, medical treatment, lab.

• Trans-
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• v.10
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• pp.73-113
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• 2021

Previous studies show that VR images can influence consumers' attitudes and behaviors by evoking imagination. In this study, we introduce a reality-based closed-loop 3D image (hereafter Virtualgraph). Then we try to see whether such image would increase evocativeness in a mobile commerce environment and whether higher telepresence of the visual image of a product can increase the purchase intention of that product. In order to find the above, we developed a model comprised of constructs containing telepresence, perceived value price, perceived food quality, and vividness of visual imagery questionnaire (VVIQ). We used Virtualgraph application to conduct an experiment, and then conducted an interview as well as a survey. As results of the experiment, survey and interview, we found the followings. First, users evoke imagination better with Virtualgraph than with still images. Second, increased evocativeness affects purchase intention if the perceived quality of fresh food product is satif actory. Third, increased evocativeness makes users value products higher and do even much higher when the perceived quality of fresh food product is good. From the interview, we could find that the experimental group had higher purchase intentions and perceived products as more expensive ones. Also, they perceived images of products clearer and more vivid than did the control group. We also discuss the strategic implications of using Virtualgraph in mobile shopping malls.

• Knowledge Management Research
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• v.22 no.2
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• pp.247-268
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• 2021

Investors mainly use PER and PBR among financial ratios for valuation and investment decision-making. I conduct an analysis of two basic financial ratios from a statistical perspective. Financial ratios contain key accounting numbers which reflect firm fundamentals and are useful for valuation or risk analysis such as enterprise credit evaluation and default prediction. The distribution of financial data tends to be extremely heavy-tailed, and PER and PBR show exceedingly high level of kurtosis and their extreme cases often contain significant information on financial risk. In this respect, Extreme Value Theory is required to fit its right tail more precisely. I introduce not only GPD but exGPD. GPD is conventionally preferred model in Extreme Value Theory and exGPD is log-transformed distribution of GPD. exGPD has recently proposed as an alternative of GPD(Lee and Kim, 2019). First, I conduct a simulation for comparing performances of the two distributions using the goodness of fit measures and the estimation of 90-99% percentiles. I also conduct an empirical analysis of Information Technology firms in Korea. Finally, exGPD shows better performance especially for PBR, suggesting that exGPD could be an alternative for GPD for the analysis of financial ratios.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.133-141
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• 2021

Governments of each country are actively implementing fiscal expansion policies to recover the real economy after Corona 19. In Korea, the stock market and housing market are greatly affected as liquidity in the market increases due to the implementation of disaster subsidies and welfare policies. The purpose of this study is to analyze the relationship between stock market and housing market trends and liquidity. Data were collected by the Bank of Korea and Kookmin Bank. The analysis period is from January 2000 to December 2020, and monthly data are used. For empirical analysis, the rate of change from the same month of the previous year was calculated for each variable, and numerical analysis, index analysis, and model analysis were performed. As a result of the analysis, it was found that the stock index showed a positive(+) relationship with the house price, while a negative(-) relationship with M2. Previous studies have suggested that, in general, an increase in liquidity affects the stock market and the housing market, and inflation also rises. In this study, it was found that the stock market and the housing market had an effect on each other. However, it was investigated that liquidity showed an inverse relationship with the stock market and had no relationship with the housing market. Through this, this study estimated that there is a time difference in the relationship between liquidity and the stock market & housing market.