• Annual Conference of KIPS
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• 2007.11a
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• pp.991-994
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• 2007

최근 컴퓨터 기술의 발전과 네트워크의 개방화 그리고 무선 모바일 통신 기술의 비약적인 보급으로 인하여 컴퓨팅 환경을 이루고 있는 각종 장치(PC, 모바일 단말, 저장장치, 네트워크 기기 등)가 다양한 형태의 보안 위협에 노출되어 데이터의 유실, 조작, 유출되어 금전적인 피해를 입거나 프라이버시 침해를 받고 있다. 이러한 문제를 근본적으로 해소하기 위하여 설립된 TCG(Trusted Computing Group)는 세계적인 IT 핵심기업들을 중심으로 구성된 비영리 단체로서 PC 혹은 모바일 기기 등의 단말과 서버 장비 그리고 저장 장치 및 네트워크로 구성된 컴퓨팅 환경에서 보안성 향상 및 데이터의 신뢰성을 제고하기 위하여 TPM(Trusted Platform Module)이라는 반도체 칩을 신뢰의 기반(root of trust)으로 한 신뢰 플랫폼을 제안하고 있다. 한편 SaaS(Software as a Service)는 패키지 형태의 소프트웨어를 네트워크 서비스 형태로 바꾸어 사용량에 비례한 요금제로 과금하는 방식을 채택하고 사용자가 온디맨드로 요청한 서비스를 적시에 제공하는 기술로 최근 전세계적으로 각광을 받고 있다. 이때 다양한 컴퓨팅 환경 안의 사용자에게 높은 신뢰성과 보안성 그리고 연속성을 갖는 SaaS 서비스를 제공하고 데이터의 무결성 및 비밀유지와 정확한 서비스 사용시간을 기록하고 업로드하는 기능들을 제공하는 SaaS 플랫폼은 TPM기반의 신뢰컴퓨팅 기술을 통하여 쉽게 구현될 수 있다. 본 논문에서는 일시적으로 네트워크와 차단된 상태의 PC 혹은 모바일 단말에서도 위의 조건들을 만족하는 SaaS 서비스를 지원하는 신뢰 플랫폼이 가져야 할 기능들에 대하여 분석-도출한 후 그러한 기능들을 제공하는 컴포넌트로 구성된 신뢰형 SaaS 사용자 플랫폼을 설계하였다.

• Advanced Industrial SCIence
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• v.3 no.1
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• pp.17-22
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• 2024

History, which began with the emergence of mankind, has a means of recording. Today, we can check the past through data. Generated data may only be generated and stored at a certain moment, but it is not only continuously generated over a certain time interval from the past to the present, but also occurs in the future, so making predictions using it is an important task. In order to find out trends in the use of time series data among numerous data, this paper analyzes the concept of time series data, analyzes Recurrent Neural Network and Long-Short Term Memory, which are mainly used for time series data analysis in the machine learning field, and analyzes the use of these models. Through case studies, it was confirmed that it is being used in various fields such as medical diagnosis, stock price analysis, and climate prediction, and is showing high predictive results. Based on this, we will explore ways to utilize it in the future.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.75-94
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• 2024

This study aims to examine changes in the location and spatial structure of the Korean manufacturing industry and to consider the factors that influenced them. From the 1960s to the 1980s, under Korea's export-oriented industrial policy and location policy of large-scale industrial complexes, a manufacturing spatial structure was centered on the Seoul Metropolitan Region and the Southeastern Region. Since the mid-1990s, with the emergence of economic globalization and strengthening corporate competitiveness, technology- and knowledge-intensive manufacturing and R&D activities have been concentrated in the Seoul Metropolitan Region. On the other hand, as the overseas relocation of assembly plants accelerated, the decline of industrial cities in the non-Metropolitan Region progressed. Since the 2010s, manufacturing and start-up activities have become more concentrated in the Seoul Metropolitan Region, showing signs of expanding to the adjacent northern Chungcheong Region. This results from changes in the global value chains followed by overseas relocation of production functions at the global level, and concentration of knowledge-intensive manufacturing and R&D activities in the Seoul Metropolitan Region at the national level, which are reflected in the spatial structure of the manufacturing industry.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.101-121
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• 2024

The application of chatbots on e-commerce platforms is becoming increasingly widespread. With the rapid development of artificial intelligence technology, previous research has predominantly focused on service failures occurring with the chatbots themselves. There is limited research on scenarios where chatbots handle service failures that are controllable by the sellers. This paper conducted online surveys through two experiments involving a total of 546 participants. The results indicate that, in the event of a service failure, customers are more likely to spread negative word-of-mouth about the store and have lower repurchase intentions when served by chatbots compared to human customer service representatives. This is because customers experience higher levels of anger with the chatbots. However, when customers perceive the service failure as uncontrollable by the seller, the impact of the type of customer service provider on negative word-of-mouth via customer anger is weakened while when customers perceive it as controllable the impact is strengthened. This study provides theoretical contributions for online retail enterprises to apply intelligent customer service while preventing further deterioration of service failures.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.5
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• pp.323-329
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• 2024

In an era of low interest rates around the world, interest in real estate has increased. We can collect real estate information using the Internet, but it takes a lot of time to find. In this paper, real estate information from January 2015 to April 2024 is collected from three places to help users more easily collect real estate information of interest and use it for sales. First, by analyzing HTML documents using web scraping techniques, information on real estate of interest is automatically extracted from the website of the platform company. Second, the actual transaction price of the real estate is additionally collected through the open API provided by the Ministry of Land, Infrastructure and Transport. Third, real estate-related news is provided so that users can learn about the future value and prospects of real estate. The simulation results for the data collected in this study show that the lowest price predicted by the ARIMA model is expected to be in May 2024 among the next eight months. Therefore, by following this procedure, real estate buyers can make more efficient home sales by referring to related information including the predicted transaction price.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.222-228
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• 2020

The purpose of this study was to investigate activity participation level and functional disability based on ICF for the elderly aged over 65 years. Subjects were 100 senior citizens. We performed data collection using Korean Activity Card Sorting(KACS) and World Health Organization Disability Assessment Schedule 2.0(WHODAS 2.0). Data were analyzed using descriptive statistics, Pearson's correlation, multiple regression. As a result of the survey of activity participation levels, retained level of activity participation of instrumental activity was highest at 75.06%. Among the WHODAS 2.0 sub-domain, 'getting along with people', 'participation in society' had the most difficulties and 'self-care', 'life activities' were the lowest. An analysis of the correlation between the activity retention rate and functional disability showed that there was a significant negative correlation. Significant factors influencing functional disability were activity participation level of social activity, instrumental activity and main work(retirement). We confirmed that activity participation level was important factor on functional disability. Further, we need standardization study for generalization.

• Journal of Korean Society of Transportation
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• v.28 no.6
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• pp.133-146
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• 2010

The objective of this study is to develop a supply chain-based freight distribution channel choice model considering shippers' logistics behaviors which will be used for freight demand estimation. For this purpose, this study utilized the distribution channel data of the petrochemical and automobile industries collected by KTDB center. The distribution channel choice models for these industries were developed by including transport mode, time, cost, and shipment size. It was found that the multinomial logit model with transport cost, time and shipment size is the best, and as shipment increases, bigger transport mode is preferred. Generally direct distribution channel with small truck was preferred over the one using distribution center and/or big truck.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.289-315
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• 2008

In Korea-China shipping route, the level of freight rate has been maintained very low for last two decades not only because supply of shipping capacity is higher than its demand but also because the route was regulated by the two governments. An examination is made of the effects of openness of Korea-China Liner Shipping Route on competitiveness of Korean-flag Liner Shipping companies. This task is undertaken by detailing the development of the cargo sharing respectively by shipping companies of each country. Then it is suggested the ways to cope with the new environmental changes in Korea-China liner shipping route for the future by examining the future strategies for Korean-flag companies by in-depth interviews with major shipping companies.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.532-541
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• 2017

Design is an extremely critical and important for the prosperity and development of a corporation, and design for children's facilities can be said to be a critical factor not only from a commercial perspective but also one of the critical factors that can be beneficial to the physical, intellectual and emotional growth and development of children. To measure the economic value of publicly designed children's facilities established with the purpose of children's design education, this research study utilized the Contingent Valuation Method. This research study attempts to provide useful information for policy administrators on the usage of both publicly designed children's facilities with high use value and also high non-use value through economic value measurement. To achieve the objectives of this research, the Contingent Valuation Method that utilized both open-ended questions and also double-bounded dichotomous choice methodologies was used. The results of the pre-verification that used the open-ended questions results from 50 test subject participants and the double-bounded dichotomous choice methodology results from 530 test subject participants confirmed that the average annual per person expense was estimated to be KRW 12,463. The gross benefit amount figure estimated for all households in the nation was estimated to be about KRW 219 billion annually.

• Environmental and Resource Economics Review
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• v.22 no.3
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• pp.547-580
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• 2013

As energy conservation can be realized through changes in the composition of goods and services consumed, there is a need to assess indirect and total household energy consumption. The Korean household sector was responsible for more than 55% of Korea's total energy consumption in the 1995 to 2010 period. More than 69% of household energy consumption was indirect. Thus, not only direct but also indirect household energy consumption should be the target of energy conservation. Electricity consumption became in 2009 the main source of household energy consumption in Korea. Households consume more and more electricity intensive goods and services, a sign of increasing living standards. Decrease in energy intensities of products consumed by Korean households contributed greatly to reduce the increase in the total household energy consumption. However, switching took place towards more energy intensive products, thus the structure effect was negative. It is necessary to direct consumption and production towards much less energy intensive goods and services as to reduce energy consumption or its growth rate. The Korean government should readjust low energy and electricity prices to cost-reflective prices levels as these low prices are one of the main reasons for the consumption of more energy intensive products. This study differentiates prices of oil products and electricity between households and industries, as to allow more accurate estimation.