• Korean Journal of Construction Engineering and Management
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• v.7 no.2 s.30
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• pp.138-147
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• 2006

The objective of this research is to explore a more precise forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, 1) the choice of the numbers of referring projects and 2) the better selection among three levels ? which include a 20-work package level, a 7-major work package level, and a total sum level analysis, were investigated in detail. It is concluded that selecting similar projects at $12{\sim}19%$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.233-238
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• 2018

SMEs and small enterprises are making various attempts to manage SMEs in terms of equipment, safety and energy management as well as production management. However, SMEs do not have the investment capacity and it is not easy to build a smart factory to improve management and productivity of SMEs. In this paper, we propose a smart factory construction algorithm that partially integrates the factory equipment currently operated by SMEs. The proposed algorithm supports collection, storage, management and processing of product information and release information through IoT device during the whole manufacturing process so that SMEs' smart factory environment can be constructed and operated in stages. In addition, the proposed algorithm is characterized in that central server manages authentication information between devices to automate the linkage between IoT devices regardless of the number of IoT devices. As a result of the performance evaluation, the proposed algorithm obtained 13.7% improvement in the factory process and efficiency before building the Smart Factory environment, and 19.8% improvement in the processing time in the factory. Also, the cost of input of manpower into process process was reduced by 37.1%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.13-15
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• 2016

에너지 소비가 큰 건물은 내부 온/습도, 이산화탄소 농도, 미세먼지 농도 등의 일정 공기 질을 유지하면서 에너지 비용을 최소화할 수 있는 제어계획을 수립하는 것이 필요하다. 기존 건물에서 실내 환경의 운영은 설정된 실내 환경 값을 기준을 벗어나면 설비 기기를 제어하는 방식으로 이루어진다. 이는 단 시간에 고에너지를 투입하여 장비를 가동시키므로 에너지 소모가 크며 peak 전력이 높아 에너지 비용이 크다는 문제가 있다. 따라서 온도를 포함한 환경이 변해가는 상황을 예측하고 사전에 에너지 사용 계획을 수립하여 관리 제어를 수행함으로써 예열부하 등의 불필요한 에너지 손실을 절감하려 한다. 이를 위해 실내 환경이 변화하는 것을 예측하고 후보 제어계획으로 제어를 수행할 때 소요되는 에너지가 어느 정도인지 시뮬레이션하여 제어계획의 적합도를 평가한다. 기존 EnergyPlus와 같은 시뮬레이션 도구는 모델이 복잡하여 시뮬레이션에 많은 시간이 필요하기 때문에 환경 변화를 반영하기 위해 주기적으로 재수립되는 수많은 제어계획 데이터를 단시간에 시뮬레이션하기에 부적합하다. 본 논문에서는 빠른 시뮬레이션을 위해 실제 운영 데이터와 에뮬레이션을 통해 획득한 운영 데이터를 기반으로 학습 알고리즘을 이용하여 제어계획 적용 시의 미래 상황을 예측한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1742-1745
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• 2012

올해 초 한국 전자정부가 유엔에서 연속 세계 정상수준으로 평가 받았다. 이는 지난 20여 년간 약 20여조의 예산을 정보화 부문에 투자한 결과라 해도 과언이 아니다. 다른 한편에서는 그동안 국가정보화를 추진하면서 기투자한 정보자원에 대한 운영부담이 가중되고 있다. 이제 정보자원들을 어떻게 관리하고 활용할 것인가는 공공부문에서 중요한 현안이 되고 있다. 이는 주위 환경변화에 따른 정보자원의 의미와 가치를 재점검할 필요성과 바뀐 상황에 맞게 체계화가 필요한 시기임을 시사하고 있다. 본 고에서는 이러한 문제의식을 갖고 공공부분의 정보자원관리에 대한 전반적 상황에 대한 개관과 함께 대응방안을 제시하고자 한다. 이를 위해서 지금까지는 정보자원을 조직 활동을 위한 투입요소의 시각에서만 접근했지만, 향후는 조직 활동 수행에 필수적인 정보자산의 개념으로 접근해야 할 필요성이 있다. 이를 위해 공공부문 정보자원관리에 대한 제반현상을 문서중심으로 조망하고 이에 따른 대응방안을 살펴보고자 한다. 이 연구결과는 정보자원 관리와 관련된 업무 및 연구를 할 때 정책적 시사점으로 참조하거나, 향후 실증적인 관련연구를 위한 기초자료로 활용되기를 기대한다.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.171-199
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• 2023

The purpose of this study was to develop an evaluation tool for selecting new projects for R&D project planning level of K Research Institute. For this purpose, items and questions for R&D project selection evaluation were developed based on the CIPP model and previous studies on selection evaluation and evaluation indicators for research project evaluation, and then two Delphi surveys were conducted. The developed evaluation tool was surveyed by 13 experts to verify contents validity ratio, convergence and consensus. The finally selected evaluation tool for R&D project planning consisted of 21 questions in 8 items, including 5 questions for context evaluation, 2 questions for input evaluation, 8 questions for process evaluation, and 6 questions for product evaluation. The evaluation tool developed will contribute to the solution of problems in the bottom-up planning process and to the improvement of the planning competence of the researchers. It will also contribute to improve the consistency and efficiency of evaluation during the selection process.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.1-20
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• 2020

Coastal ferry routes are very important because they connect the mainland to islands, offer transportation for islanders, and bring tourism to islands. In particular, the recent increase in national income, prevalence of a culture that emphasizes work-life balance, and introduction of the five-day workweek have stoked interest in travel as a leisure pursuit, and demand for tourism from Korean people in islands has increased. As the number of passengers using coastal passenger terminals increases due to changes in the coastal tourism environment, the importance and need for coastal passenger terminal facilities and services is growing. Under these circumstances, it is necessary for the management organizations of coastal passenger terminals to manage and efficiently operate the terminals in such a way that budgets can be reasonably implemented and the convenience of passengers using the terminals is enhanced. This study primarily analyzed the management efficiency of coastal passenger terminals in terms of profitability and public interest using data envelopment analysis. The eight passenger terminals achieved low management efficiency in terms of profitability. These terminals should improve profitability by increasing income from terminal office rental and ancillary businesses and revenue from terminal fees by boosting island tourism and expanding overseas passenger transportation. The eight terminals with low management efficiency for public interest should increase the number of passengers by promoting island tourism, developing tour packages to Japan and China's coastal areas, developing new routes, and introducing super-high-speed ships.

• The KIPS Transactions:PartB
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• v.19B no.3
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• pp.155-164
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• 2012

This study aims to identify the multidimensional variables and sub-variables and study their relative weight in music recommender systems when maximizing the rating function R. To undertake the task, a optimization formula and variables for a research model were derived from the review of prior works on recommender systems, which were then used to establish the research model for an empirical test. With the research model and the actual log data of real customers obtained from an on line music provider in Korea, multiple regression analysis was conducted to induce the optimal correlation of variables in the multidimensional model. The results showed that the correlation value against the rating function R for Items was highest, followed by Social Relations, Users and Contexts. Among sub-variables, popular music from Social Relations, genre, latest music and favourite artist from Items were high in the correlation with the rating function R. Meantime, the derived multidimensional recommender systems revealed that in a comparative analysis, it outperformed two dimensions(Users, Items) and three dimensions(Users, Items and Contexts, or Users, items and Social Relations) based recommender systems in terms of adjusted $R^2$ and the correlation of all variables against the values of the rating function R.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.843-846
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• 2008

There are a lot of municipalities that do not grasp even by the current state of having public facilities though various management&maintenance researches have been done. Therefore this research aimed to make it to the foundation of the maintenance management plan establishment of the municipality in the future through investigating, analyzing the current state of management&maintenance of the public facilities. Tn the beginning, I collected data through a questionnaire of the community facilities of the municipality. To read the current state of the management condition of the object facilities from the collection data, I applied the radar chart that used the deviation value of the evaluation index and PPM matrix. As a result of the analysis, I discovered that there is a municipality thought to having efficient facilities maintenance management.

• Journal of Labour Economics
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• v.39 no.4
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• pp.1-29
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• 2016

This study examines the effects of the "youth unemployment bonus" program implemented in 2004. We view this program through the lenz of search-matching models and apply a quasi-experimental approach to an administrative unemployment insurance database of Korea. This episode is particularly useful because the program aims at long-term unemployed youths and the size of public assistance is large enough to subsidize employers for a year with a monthly subsidy of about $600. The main effects are found to be as follows: (i) the search period gets shortened by 18 days, (ii) the subsequent wage has increased by about three percents, and (iii) a conservative benefit-cost analysis reveals the validity of this program. We interpret these results in the context of general equilibrium models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.10
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• pp.4354-4358
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• 2011

Many Korean construction companies have fallen on hard times because the construction business continues to stagnate. Therefore it is necessary to measure the management efficiency for efficient operation and strengthening competitiveness of them in order to survive a difficult situation. This paper proposes a combined ANP and DEA model to analyze the efficiency of the listed construction firms. In order to determine the input and output variables of DEA, the ANP model is applied to evaluate the importance of input and output variables. The benchmarking companies and efficiency value for the construction firms with inefficiency are also provided to improve the their efficiency. The 57 listed construction companies consisted of 36 listed on KOSPI and 21 listed on KOSDAQ are analyzed in this study. The analysis results show that 11 companies whose values of CCR are 1, and 14 firms whose values of BCC efficiency are 1. In additions, the 19 firms have the scalability efficiency. Finally, we test the correlation between efficiency and the stock price.