• 한국BIM학회 논문집
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• 제11권3호
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• pp.1-11
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• 2021

BIM is one of the means of reducing the economic loss caused by design errors. These features of BIM have led to increased use of BIM. With the increasing use of BIM, several studies have been conducted to analyze the performance of BIM. As the importance of BIM staff is emphasized in the performance analysis of BIM, the human resource allocation of BIM staff can become an important research issue. However, there are few studies to measure the workforce effectiveness of BIM staff. Ham et al (2020) measured BIM workforce efficiency using FCFS queue model rules. Since design errors can have different effects on the project depending on the type, there are design errors that must be dealt with first. Therefore, in this study, a priority queue was used to solve design errors with high priority first. The performance of BIM-based design verification was analyzed by quantitatively analyzing the performance of BIM staff when the priority rule was applied to the design error processing sequence.

• 한국기록관리학회지
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• 제19권1호
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• pp.1-21
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• 2019

과학기술분야 연구기관의 연구기록물은 연구개발사업 생애주기 전반에 걸친 설명책임을 이행하기 위한 핵심기록이다. 따라서 연구기록물은 체계적으로 관리되고, 보존되어 공유될 수 있어야 한다. 이 연구는 연구기록물 관리 방안으로 DMP의 적용 효용성을 분석하였다. 그 결과, 생산 이전단계에서의 연구기록물 관리의 필요성과 연구개발사업과 연구기록물간의 관계정보 관리의 중요성을 발견하였다. 이를 바탕으로 과학기술분야 연구기관에서 연구기록물 관리에 활용할 수 있도록 DMP를 적용하여 '연구기록물 관리계획(RRMP)'을 제안하였다.

• KDI Journal of Economic Policy
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• 제40권4호
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• pp.23-45
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• 2018

The Korean government has provided various policy devices to boost technology transfers between academia and industry since the establishment of the Technology Transfer Promotion Act in 2000. Along with the enactment of the law, the Korean government mandated the establishment of a technology transfer office at national and public universities and encouraged technology transfer activities. Despite the quantitative expansion of technology transfer offices (TTOs), operational inefficiency was brought up. As a supplementary policy, the Korean government implemented a line of projects to support the labor and business expenses of leading TTOs. This research questions whether the project greatly affected the technical efficiency of TTOs. We analyze publicly available university panel data from 2007 to 2015 using a one-step stochastic frontier analysis. The results suggest that the program was marginally effective at shifting the technical efficiency distribution to the right on average, but it failed to maximize its impact by diversifying the policy means based on targets. The marginal effects of the program on technical efficiency differ according to the research capability and size of each school. We also compare technical efficiency against the licensing income at the start and end of the program. Technical efficiency increased for the leading TTOs, and both measures show improvements for unsupported TTOs. Our empirical results imply that diversifying the program for universities with different characteristics may have improved the effectiveness of the policy.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 추계학술대회
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• pp.741-742
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• 2016

시큐어 코딩이란 개발 단계에서 해킹 등의 공격을 유발할 가능성이 있는 잠재적인 보안 취약점을 미리에 제거하여, 외부 공격으로부터 안전한 소프트웨어를 개발하는 기법을 말한다. 본 논문에서는 이러한 소프트웨어 개발 보안의 필요성 및 기대효과에 대하여 알아보도록 한다. 이로 인하여, 안전한 소프트웨어 개발을 위해 위협에 대비하고 프로젝트 품질 향상에 효과가 있다.

• Human Ecology Research
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• 제59권1호
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• pp.99-112
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• 2021

This study develops and applies a service learning course that integrates university curriculum with the local community in housing and interior design. The results of the study are as follows. First, the service learning course of the housing and interior design was developed as a six-week lecture based on the project model with the theme of housing for the socially disadvantaged. Second, this course was implemented with faculty, students, interior designers, and service recipients to engage in activities to improve the educational environment of local child centers. Next, students engaged in the service learning course and continuously conducted reflection activities to enhance the effectiveness of learning. In reflection activities, students assessed that self-directed capabilities increased as has employing the coordination and applicability to meet identified community needs. Finally, faculty, students, and experts (including institutional experts and supervising departments) evaluated course practice and educational outcomes. Experts assessed that the course clarified course objectives, utilized various learning strategies, and showed that the structural reflection mode of learners and professors was overwhelmingly positive. The results indicated that service-learning courses enable students to integrate academic study with social work to better understand course content through direct engagements in experience learning. Furthermore, students are empowered by participation in public services that benefit service clients and consultants as students take more personal responsibility for learning.

• 대한안전경영과학회지
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• 제23권4호
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• pp.83-92
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• 2021

The construction of smart factories for government SMEs is not easy due to the lack of professional manpower. The use of retired professionals is a way to solve the problem to some extent and to solve the job problem of seniors by effectively utilizing social assets. This study examines the effectiveness of using Meister based on a survey of 195 companies participating in the Smart Meister Support Program. As a result, the better pre-participation readiness and the better management and coordination of change during the participation, the more significant influence was on Meister's ability development and corporate performance. In particular, it was confirmed that Meister's competence plays a role in both 'pre-participation readiness and business performance' and 'between change management during participation and business performance'. In order to improve the performance of the smart meister business in the future, it is necessary to proactively promote the purpose and purpose of the business targeting companies that wish to participate in the business. In addition, it was found that it is necessary to support the development of change management in order to minimize the resistance to innovation during the project. It will be possible to enhance social competitiveness by resolving senior jobs and strengthening the competitiveness of SMEs by discovering and utilizing Meister, who is an expert among retirees.

• Geomechanics and Engineering
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• 제28권4호
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• pp.359-374
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• 2022

Geology conditions are crucial in decision-making during the planning and design phase of a tunnel project. Estimation of the geology conditions of road tunnels is subject to significant uncertainties. In this work, the effectiveness of a novel regression method in estimating geological or geotechnical parameters of road tunnel projects was explored. This method, called Gaussian process regression (GPR), formulates the learning of the regressor within a Bayesian framework. The GPR model was trained with data of old tunnel projects. To verify its feasibility, the GPR technique was applied to a road tunnel to predict the state of three geological/geomechanical parameters of Rock Mass Rating (RMR), Rock Structure Rating (RSR) and Q-value. Finally, in order to validate the GPR approach, the forecasted results were compared to the field-observed results. From this comparison, it was concluded that, the GPR is presented very good predictions. The R-squared values between the predicted results of the GPR vs. field-observed results for the RMR, RSR and Q-value were obtained equal to 0.8581, 0.8148 and 0.8788, respectively.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.457-463
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• 2009

The earthwork is essential procedure for all civil engineering projects. Because of its importance in terms of cost and time, it should be managed effectively. In light of this, The Intelligent Excavating System (IES) research consortium has established to improve the productivity, quality and safety of current excavating/earthwork system by the Ministry of Land, Transportation and Maritime Affairs (MLTM) of Korea. This paper summarizes ongoing research aimed at development knowledge and presents a framework of task planning and visualization system for IES. The task planning and visualization system consists of three functions. 1) Using digital terrain model which created by 3D laser scanner, the system can divide it and generates global/local work area so that the excavator can work through the area. 2) In order to operate and/or control the excavator, the system exports the location, paths of boom, arm and bucket data of the excavator to control center. 3) The task planning system is visualized on the computer programming aided-graphic interface which simulates the planned work processes and eventually assists the operator for the control of the excavator. The case study which we have performed, demonstrates the effectiveness of the proposed system.

• 한국건설관리학회논문집
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• 제24권5호
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• pp.83-94
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• 2023

In order to devise a rebar usage optimization algorithm, it is necessary to calculate the exact rebar length and revise the arrangement of rebars into special lengths. However, the process of rearranging numerous rebars and manually calculating their quantities is time-consuming and requires significant human resources. To address this challenge, it is necessary to develop an algorithm that can automatically estimate the length of rebars and calculate their quantities. This study aims to create an automatic estimation algorithm that improves work efficiency while ensuring accurate and reliable calculations of rebar quantities. The algorithm considers various factors such as concrete cover, hook length, development length, and lapping length, mandated by the building codes, to calculate the quantity of rebars for wall structures. The effectiveness of the proposed method is validated by comparing the rebar quantities generated by the algorithm with manually calculated quantities, resulting in a difference rate of 1.14% for the hook case and 1.37% for the U-bar case. The implementation of this method enables fast and precise estimation of rebar quantities, adhering to relevant regulatory codes.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.904-911
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• 2022

Occlusion is one of the most challenging problems for computer vision-based construction monitoring. Due to the intrinsic dynamics of construction scenes, vision-based technologies inevitably suffer from occlusions. Previous researchers have proposed the occlusion handling methods by leveraging the prior information from the sequential images. However, these methods cannot be employed for construction object detection in non-sequential images. As an alternative occlusion handling method, this study proposes a data augmentation-based framework that can enhance the detection performance under occlusions. The proposed approach is specially designed for rebar occlusions, the distinctive type of occlusions frequently happen during construction worker detection. In the proposed method, the artificial rebars are synthetically generated to emulate possible rebar occlusions in construction sites. In this regard, the proposed method enables the model to train a variety of occluded images, thereby improving the detection performance without requiring sequential information. The effectiveness of the proposed method is validated by showing that the proposed method outperforms the baseline model without augmentation. The outcomes demonstrate the great potential of the data augmentation techniques for occlusion handling that can be readily applied to typical object detectors without changing their model architecture.