• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.366-370
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• 2009

GREEN, ECO and RENEWABLE ENERGY..아마 최근 가장 큰 화두가 되는 단어들일 것이다. 우리나라 역시 이번정부의 경제살리기는 다름 아닌 '녹색성장'이 핵심이다.. 현재 정부가 강력하게 추진 중인 사업인 4대강 살리기 등은 바로 녹색성장의 대표적인 사례이다. 성장은 하되 환경에 대한 중요성을 바탕으로 하자는 것이다. 기후변화에 대한 논의가 시작된 이래 수많은 전문가들에 의해 기후변화에 대한 논리적 그리고 객관적인 근거를 제시하고자 노력하였다. 반면 기후변화가 지나친 우려라고 반론을 제기하는 전문가도 적지 않다. 어떤 논리가 맞는지는 아무도 모른다. 본고에서 역시 어떤 논리가 맞는지에 대한 논의는 피하고자 한다. 지금 현재의 변화(평균온도의 상승, 집중강우의 증가 및 가뭄 등)들이 과연 확실한 기후변화의 징후인지 아닌지는 어느 누구도 증명하기 어렵기 때문이다. 다만 이것들을 장기적인 기후변의 추세로 받아들인다면 과연 우리의 국가 경제에 어떤 영향을 미칠지에 대한 것은 검토는 반드시 되어야 할 것이다. 기후변화에 대비해서 가장 먼저 해야 할 일은 우리나라에 도래할 기후변화 시나리오에 대한 보다 신뢰성 높은 검토이다. 그리고 이를 위해서는 우리나라에 올 수 있는 기후변화 시나리오를 예측하고 증명할 수 있는 기술의 개발 또한 시급하다. 그 다음에 수반되는 것이 바로 시나리오에 따른 사회경제적 파급효과, 즉 기후변화가 초래하는 사회경제적인 비용이 어디서 어떻게 발생할 수 있는 지에 대한 평가이다. 정부의 정책은 결국 기후변화로 인한 사회적인 비용을 최소화하기 위한 것이고 결과적으로 어떤 사회적인 비용이 초래될 것인가를 예측하고 이에 대한 정책과 기술개발의 방향이 설정되어야 하는 것이다. 본 연구는 현재 선진국들이 기후변화를 어떻게 다루고 있는지에 대한 고찰을 통해 향후 우리나라가 기후변화 대비 무엇을 어떻게 해야 하는지에 대한 제안을 하고자 하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.115-123
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• 2024

The purpose of this study is to contribute to how the advantages of artificial intelligence (AI) services and the associated limitations can be simultaneously overcome, using the keywords AI and risk management. To achieve this, two cases were introduced: (1) presenting a risk monitoring process utilizing AI and (2) introducing an operational toolkit to minimize the emerging limitations in the development and operation of AI services. Through case analysis, the following implications are proposed. First, as AI services deeply influence our lives, the process are needed to minimize the emerging limitations. Second, for effective risk management monitoring using AI, priority should be given to obtaining suitable and reliable data. Third, to overcome the limitations arising in the development and operation of AI services, the application of a risk management process at each stage of the workflow, requiring continuous monitoring, is essential. This study is a research effort on approaches to minimize limitations provided by advancing artificial intelligence (AI). It can contribute to research on risk management in the future growth and development of the related market, examining ways to mitigate limitations posed by evolving AI technologies.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.199-204
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• 2006

도시의 변화에 대하여 보다 체계적으로 계획하고 관리하기 위해서는 도시지역에 대한 정확한 지리 정보의 획득이 필요하며 이와 더불어 정보의 신속한 갱신이 필요하다. 도시 변화를 판단하기 위한 지리정보는 여러 가지 정책과 연구에 사용될 수 있을 뿐만 아니라 그 자체만으로도 도시의 성장을 기록하는 중요한 자료로 이용될 수 있다. 지리 정보의 획득 방법 중 하나인 영상분류 방법은 여러 가지가 있으나, 그 중 건물, 도로, 수목, 논, 밭 등 지상의 물체들의 분광특성을 이용한 방법이 가장 효율적이라고 할 수 있다. 따라서 본 연구에서는 도심지의 토지피복분류 현황을 기존의 방법보다 더욱 정확히 분석하기 위해서 IKONOS 영상을 이용하여 분석방법에 따른 정확도를 비교 분석하고 GIS를 이용하여 토지피목 현황을 분류기법별로 나타내며, 대상지역의 분류 정확도와 정보를 제시하였다. 연구 결과 도심지에서는 최대우도법을 이용한 감독 분류의 정확도가 가장 높은 정확도를 나타내었으며, 주관성을 배제한 분류 방법에는 신경망을 이용한 분류 방법이 높은 정확도를 나타내었다. 또한 분류 기법 별로 분류된 토지피복도를 이용하여 분류 정확도와 분류항목에 대한 속성 자료를 GIS데이터베이스로 구축하여 사용자가 요구하는 정확도에 따라 분류 방법별 토지피복도를 제공함으로써 보다 신뢰성 있고 다양한 정보를 제공할 수 있었다.

• Journal of Distribution Research
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• v.15 no.5
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• pp.19-35
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• 2010

In recently, the globalization of business and the competitive pressure have led to the growing strategic importance of the logistics function within the organization. All organizations are approaching 3PL(Third party logistics : 3PL) services to manage their logistics activities to gain competitive advantages. This has placed a number of demands on the logistics system and has become a rapidly developing area of investigation. Thus the research objective is to examine the effects of 3PL service qualities, trust and commitment on logistics performance. The results shows that visibility and expertise of the 3PL service quality elements positively affected shipper's trust. And availability, visibility and communication of the 3PL service quality elements positively affected shipper's commitment. In addition, the trust and commitment of shipper's company on the 3PL corporation positively affected logistics performance.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.61-69
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• 2023

Recently, as the fishery resources are depleted, expectations for productivity improvement by 'rearing fishery' in land farms are greatly rising. In the case of land farms, unlike ocean environments, it is easy to control and manage environmental and breeding factors, and has the advantage of being able to adjust production according to the production plan. On the other hand, unlike in the natural environment, there is a disadvantage in that operation costs may significantly increase due to the artificial management for fish growth. Therefore, profit maximization can be pursued by efficiently operating the farm in accordance with the planned target shipment. In order to operate such an efficient farm and nurture fish, an accurate growth prediction model according to the target fish species is absolutely required. Most of the growth prediction models are mainly numerical results based on statistical analysis using farm data. In this paper, we present a growth prediction model from a stochastic point of view to overcome the difficulties in securing data and the difficulty in providing quantitative expected values for inaccuracies that existing growth prediction models from a statistical point of view may have. For a stochastic approach, modeling is performed by introducing a Gaussian process regression method based on water temperature, which is the most important factor in positive growth. From the corresponding results, it is expected that it will be able to provide reference values for more efficient farm operation by simultaneously providing the average value of the predicted growth value at a specific point in time and the confidence interval for that value.

• Land and Housing Review
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• v.3 no.4
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• pp.399-406
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• 2012

One-third of total energy and 50% of $CO_2$ emissions arise from construction phase. Because of this global amount of energy consumption and $CO_2$ emission, we must do our best to solve this problem. But our existing ways of meeting this problem has focused on the energy consumption saving of the construction and dwelling stage. On the other hand, we has been treated too lightly for handling the $CO_2$ emissions problem during the maintenance management and the demolition process so far,. In this paper, we quantitatively predicted and evaluated the environmental load in each construction step during all life cycle. And, we developed the environmental load assessment program for each construction step. And we proposed the reliable decision support model for objective and reliable environmental load assessment and reduction. This result must help the development of construction technology and low carbon & green growth.

• Korean Journal of Construction Engineering and Management
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• v.9 no.5
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• pp.75-85
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• 2008

The construction industry has been leading the growth of the nation's economy not only by providing with various infrastructure projects but also by positively impaction related industries such as crating numerous job opportunities. Relevant statistics show the production amount of construction taking about 17.5% of the GDP (Gross Domestic Product). In spite of its positive impacts on the economy, image of Korea construction industry is generally reflected as negative mainly because of its environmental disruption, low payment, bribe, fraudulent work and inefficiency. It brings students to be reluctant choosing the construction industry as their carrier path and governmental and principal research status. Therefore it has been difficult to recruit highly qualitied human resources to the industry while the morale of the whole industry has gradually become demoralized. To improve this stand, many domestic researchers carried out research projects for improving the image of Korea Construction Industry. This study also sympathizes with necessity of improving the negative image of construction industry to remain as one of the leading industry in the 21st century. Especially, this study focused on finding important factors which have significant influences on the image of the industry. Through out the research, image influence factors was identified by rigorous literature review and interviews as industrial and academic experts. Factors, then, categorized and used as the main framework for the survey which designed to fine the degree of impacts on the image of the construction industry. In analyzing the survey results, various statistical techniques was employed including factor analysis, Chi-Square-Test, Correlation Analysis and Multiple Linear Regression. Identified as the most influent factors to the image of the construction industry include morale of construction employee, and prospects the industry which of the judgement by payment, impacts on nation's economy, future of the industry, etc.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.161-178
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• 2019

The purpose of this study is to analyze the effect of characteristics of the online shopping mall website and the service quality factors required on the online service on the reliability and repurchase intention. Through this, the key customer response service and operation management strategy can be proposed for the growth of kidult online shopping mall which is continuously spreading. Also, implications for development direction can be suggested. For this purpose, the ES-QUAL and E-Rec-S-QUAL factors proposed by Parasuraman et al.(2005) were set as independent variables, as well as professionalism, diversity, playfulness, and personalization, and website reliability as a mediating factor, and repurchase intention as a dependent variable. For the analysis, a structured questionnaires survey was conducted to 200 domestic online shopping mall users. The main results are as follows. First, the professionalism, personalization in the characteristics, and service quality factors had positive effects on website reliability. Second, playfulness, personalization in the characteristics, and service quality factors had positive effects on repurchase intention. Third, website reliability had a positive effect on repurchase intention. Fourth, website reliability was found to mediate the relationship between predictive (independent) variables and dependent variables. The above results show that if a professional online shopping mall is equipped with online service quality and establish personalization through enhancing the professionalism, the online shopping mall can form a website reliability and expect to build continuous relationship with customers. In addition, implications can be suggested for future customer response service and operation management strategies.

• Management & Information Systems Review
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• v.31 no.3
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• pp.117-139
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• 2012

The purpose of this study is to examine of transparency and Corporate Social Responsibility(CSR) on financial performance and firm value. The empirical results are as follows: First, we finds that ROA showed significant effect of all transparency measures exception QAS measure and Tobin's Q showed significant effect of CITSA, SCTSA, SETR and SATSA. Second, 'Total-ROA' and 'ROA' models showed significant positive effects of lnCSR(TranD${\times}$lnCSR) and ROA, also 'Total-Tobin's Q' and 'Tobin's Q' model had same results. Consequently, this study results had that The firms with higher transparency and higher CSR exhibit better financial performance and firm value.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.2 s.25
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• pp.53-59
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• 2003

Many facilities have been constructed due to the rapid development of science and economy, and the tendency for larger sizes and higher stories in constructing are being accelerated due to the development of technologies, and the efficient use of limited spaces. The safety problems of constructions are being frequently brought up. So, a technique by which the monitoring of the safety of constructions can be easily done must be developed as soon as possible. In this research an management system for structure's displacement using satellite survey was studied. The results of having established the management system for structure's displacement as a GPS positioning system were that data acquisition was easier than that from using normal survey equipment, and data from the satellite survey can be applied to the database of management system. The data of the GPS suey were rather large values to determine the safety of single stories, but can probably be used in establishing the management system using the structure's displacement.