• 한국건축시공학회지
• /
• 제13권2호
• /
• pp.148-158
• /
• 2013

Generally, building construction projects have a complex decision-making process because of the participation of various agents. In this situation, a final decision is arrived at by relying on subjective judgments based on the experience of project participants. For this reason, a method of assessing the objectivity of opinions is needed. In previous studies, the multi-criteria decision making method was applied to arrive at a final decision objectively, but this method has a limitation, in that the experience of each decision maker is not considered differently in the decision making process. Therefore, this study proposed a theoretical model using the S-shaped growth curve and regression analysis by building construction project type to quantitatively estimate decision-making reliability according to the experience of individual project participant`s. The developed model could be added to the Multi-criteria decision making method, and secure the objectivity and reliability of project participants' final opinion.

• 한국안전학회지
• /
• 제34권6호
• /
• pp.29-37
• /
• 2019

Since construction sites are exposed to outdoor environments, working conditions are significantly dangerous. Thus, wearing of the personal protective equipments such as safety helmet is very important for worker safety. However, construction workers are often wearing-off the helmet as inconvenient and uncomportable. As a result, a small mistake may lead to serious accident. For this, checking of wearing safety helmet is important task to safety managers in field. However, due to the limited time and manpower, the checking can not be executed for every individual worker spread over a large construction site. Therefore, if an automatic checking system is provided, field safety management should be performed more effectively and efficiently. In this study, applicability of deep learning based computer vision technology is investigated for automatic checking of wearing safety helmet in construction sites. Faster R-CNN deep learning algorithm for object detection and classification is employed to develop the automatic checking model. Digital camera images captured in real construction site are used to validate the proposed model. Based on the results, it is concluded that the proposed model may effectively be used for automatic checking of wearing safety helmet in construction site.

• 국제학술발표논문집
• /
• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
• /
• pp.432-438
• /
• 2011

The purpose of the present thesis is to develop bankruptcy prediction models capable of being applied to the Korean construction industry and to deduce an optimal model through comparative evaluation of final developed models. A study population was selected as general contractors in the Korean construction industry. In order to ease the sample securing and reliability of data, it was limited to general contractors receiving external audit from the government. The study samples are divided into a bankrupt company group and a non-bankrupt company group. The bankruptcy, insolvency, declaration of insolvency, workout and corporate reorganization were used as selection criteria of a bankrupt company. A company that is not included in the selection criteria of the bankrupt company group was selected as a non-bankrupt company. Accordingly, the study sample is composed of a total of 112 samples and is composed of 48 bankrupt companies and 64 non-bankrupt companies. A financial ratio was used as early predictors for development of an estimation model. A total of 90 financial ratios were used and were divided into growth, profitability, productivity and added value. The MDA (Multivariate Discriminant Analysis) model and BLRA (Binary Logistic Regression Analysis) model were used for development of bankruptcy prediction models. The MDA model is an analysis method often used in the past bankruptcy prediction literature, and the BLRA is an analysis method capable of avoiding equal variance assumption. The stepwise (MDA) and forward stepwise method (BLRA) were used for selection of predictor variables in case of model construction. Twenty two variables were finally used in MDA and BLRA models according to timing of bankruptcy. The ROC-Curve Analysis and Classification Analysis were used for analysis of prediction performance of estimation models. The correct classification rate of an individual bankruptcy prediction model is as follows: 1) one year ago before the event of bankruptcy (MDA: 83.04%, BLRA: 93.75%); 2) two years ago before the event of bankruptcy (MDA: 77.68%, BLRA: 78.57%); 3) 3 years ago before the event of bankruptcy (MDA: 84.82%, BLRA: 91.96%). The AUC (Area Under Curve) of an individual bankruptcy prediction model is as follows. : 1) one year ago before the event of bankruptcy (MDA: 0.933, BLRA: 0.978); 2) two years ago before the event of bankruptcy (MDA: 0.852, BLRA: 0.875); 3) 3 years ago before the event of bankruptcy (MDA: 0.938, BLRA: 0.975). As a result of the present research, accuracy of the BLRA model is higher than the MDA model and its prediction performance is improved.

• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제6권3호
• /
• pp.141-148
• /
• 2017

인간의 위치 이동 데이터를 모바일 기기에서 수집한 위치 정보를 이용해 얻을 수 있게 되면서, 위치 정보를 어떻게 이용할 수 있는지 그 활용 방안이 중요시 되고 있다. 이 연구에 앞서 위치 정보에 포함된 위치 정보와 시간 정보를 이용한 개인 이동성 모델 도출 연구가 선행되었다. 이동성 모델의 개념을 집단으로 확장하여 특정 집단에 속한 사람들의 개인 이동성 모델을 이용한 집단 이동성 모델을 도출하는 방법에 대해서 연구했고, 두 명의 개인 이동성 모델을 이용한 집단 이동성 모델과 그 모델을 표현하는 Markov 모델을 생성할 수 있었다. 본 논문에서는 세명 이상의 개별 이동 모델을 포함하는 사람의 이동성 모델을 생성하고 집단 모델 내 군집간의 확률 기반 Markov 모델을 도출하는 방법에 대해 소개한다. 또한 GPGPU 기법을 통해 생성 시간을 줄이는 기법을 이용하여 실용화를 고려하였다.

• 국제학술발표논문집
• /
• The 5th International Conference on Construction Engineering and Project Management
• /
• pp.359-366
• /
• 2013

Although many research efforts have been conducted to address the effect of crew members' work skills (e.g., technical and planning skills) on work performance (e.g., work duration and quality) in construction projects, the relationship between skill and performance has generated a great deal of controversy in the field of management (Inkpen and Crossan 1995). This controversy can lead to under- or over-estimations of the overall project schedule, and can make it difficult for project managers to implement appropriate managerial policies for enhancing project performance. To address this issue, the following aspects need to be considered: (a) work performances are determined not only by individual-level work skill but also by the group-level work skill affected by work team members, each member's role, and any working behavior pattern; (b) work planning has significant effects on to what extent work skill enhances performance; and (c) different types of activities in construction require different types of work, skill, and team composition. This research, therefore, develops a system dynamics (SD) model to analyze the effects of both individual-and group-level (i.e., multi-level) skill on performances by utilizing the advantages of SD in capturing a feedback process and state changes, especially in human factors (e.g., attitude, ability, and behavior). The model incorporates: (a) a multi-level skill evolution and relevant behavior development mechanism within a work group; (b) the interaction among work planning, a crew's skill-learning, skill manifestation, and performances; and (c) the different work characteristics of each activity. This model can be utilized to implement appropriate work planning (e.g., work scope and work schedule) and crew management policies (e.g., work team composition and decision of each worker's role) with an awareness of crew's skill and work performance. Understanding the different characteristics of each activity can also support project managers in applying strategic work planning and crew management for a corresponding activity, which may enhance each activity's performance, as well as the overall project performance.

• 한국건설관리학회논문집
• /
• 제3권4호
• /
• pp.104-113
• /
• 2002

국내의 건설기업들은 건설시장의 개방 및 경쟁의 심화에 따라 국제 경쟁력의 강화 및 지속적인 경쟁우위를 점하기 위하여 지식경영을 도입하여 개인의 지식들을 조직의 역량강화에 노력하고 있다. 그에 따라 학문적 측면에서도 지식경영의 발전이 계속적으로 이루어져 왔으며 오늘날에는 지식경영을 도입한 기업들의 수준 평가나 성과에 많은 관심을 보이고 있다. 하지만 실제 연구에 있어서는 성과부분에 너무 치우쳐서 정확한 수준 평가 없이 성과에 대한 언급만을 하고 있는 실정이다. 따라서 본 연구는 건설기업으로 하여금 정확한 지식경영의 수준을 평가하여 지식경영의 여러 영역 중에서 좀더 관심을 기울여야 할 분야를 제시함으로써 지식경 영을 균형적으로 발전시킬 수 있는 건설기업의 지식경영 수준 평가모델을 제시하였다.

• 대한환경공학회지
• /
• 제36권3호
• /
• pp.153-161
• /
• 2014

본 연구에서는 합성 항균제로 이용되는 Triclosan이 $Cu^{2+}$, $Zn^{2+}$, $Cr^{6+}$, $Cd^{2+}$, $Hg^{2+}$, $Pb^{2+}$ 등과 같은 중금속과 공존할 경우의 독성영향을 발광박테리아인 Vibrio fischeri를 이용하여 평가하였다. 우선, Triclosan과 상기 6종 중금속의 단일물질별 Vibrio fischeri에 대한 독성을 평가한 결과, $Hg^{2+}$의 독성이 가장 높았으며 뒤이어 Triclosan > $Pb^{2+}$ > $Cu^{2+}$ > $Cr^{6+}$ > $Zn^{2+}$ > $Cd^{2+}$순의 독성민감도가 나타났다. 각 물질의 독성평가결과를 바탕으로 Triclosan과 중금속 혼합물질의 독성작용분석을 위해 유사한 독성작용을 가정하여 독성치를 예측하는 Concentration Addition (CA)모델과 독립적인 독성작용을 가정하여 독성치를 예측하는 Independent Action (IA)모델에 대한 상관도분석을 실시하였다. 그 결과 Triclosan + Cu, Triclosan + Zn, Triclosan + Pb, Triclosan + Hg, Triclosan + Cd, 그리고 Triclosan + Cr 등 모든 조합에서 CA모델보다는 IA모델과 상관성이 높은 것으로 나타나 Triclosan과 대상 중금속들은 서로 독립적인 독성작용을 하는 것으로 나타났다. 한편 Triclosan과 중금속의 혼합독성영향은 IA모델로 예측된 $EC_{50mix}$기준으로 Triclosan + Cu, Triclosan + Zn, Triclosan + Pb, Triclosan + Hg, Triclosan + Cd, 그리고 Triclosan + Cr의 실측 $EC_{50mix}$이 IA모델로 예측한 농도보다 각각 191%, 226%, 138%, 137%, 209% 그리고 138%로 나타나, Triclosan과 시험 중금속이 공존하는 경우, 모두 길항작용이 나타나는 것으로 확인되었다.

• 한국건설관리학회:학술대회논문집
• /
• 한국건설관리학회 2008년도 정기학술발표대회 논문집
• /
• pp.305-310
• /
• 2008

건설프로젝트가 점차 대형화, 고층화 되어감에 따라 프로젝트의 관리방식에 많은 변화가 요구되고 있다. 특히, RFID/USN과 같은 유비쿼터스 기술적용이 활발히 진행되고 있는 건설물류관리 분야를 중심으로 이를 효율화하기 위한 다양한 관점의 방안이 제시되고 있다. 이에 최근 건설현장을 지능화하기 위한 목적으로 개발되고 있는 지능형 장비의 도입은 건설현장에서의 건설물류관리에 새로운 프로세스 모델개발이 요구되고 있다. 따라서 본 연구에서는 바코드 및 RFID/USN 기반의 개별 자재 형태로 제안되고 있는 기존 건설물류프로세스의 한계를 극복하고, 지능형 장비와 같은 건설물류관리의 변화요인들을 반영하여 건설공사에 사용되는 수많은 자재들이 이러한 변화된 프로세스에 쉽게 적용될 수 있는 가이드를 제공하기 위하여 지능형 건설물류관리 프로세스 레퍼런스 모델을 개발하였다.

• 국제학술발표논문집
• /
• The 1th International Conference on Construction Engineering and Project Management
• /
• pp.841-844
• /
• 2005

Computer vision technology can be used to interpret the images captured by web cameras installed on construction sites to automatically quantify the results. This information can be used for quality control, productivity measurement and to direct construction. Steel frame construction is particularly well suited for automatic monitoring as all structural members can be viewed from a small number of camera locations, and three-dimensional computer models of steel structures are frequently available in a standard electronic format. A system is being developed that interprets the 3-D model and directs a camera to look for individual members as regular intervals to determine when each is in place and report the results. Results from a simple lab-scale system are presented along with preliminary full-scale development.

• Journal of Construction Engineering and Project Management
• /
• 제2권2호
• /
• pp.36-44
• /
• 2012

Adoption and practical application of BPM yet remains at a theoretic and methodological level for many industrial sectors. As for construction industry, adapting BPM into enterprise resource across all business processes could cause problems due to rapid change in corporate operation systems. Furthermore, it is unable to predict potential risks of business process while BPM are being applied. Therefore, applying BPM model to core strategy and individual task seems more effective than applying BPM model to the entire enterprise resource planning. In this paper, we define BPM and suggest a BPM model by analyzing each business unit in order to evaluate each business unit which is included in the business process architecture based on quantitative standards. This paper also presents a sequential application plan for business process model. Finally, a case study is demonstrated for the application of BPM system, focusing on cost management business, which turned out to be a top priority in the aspect of efficiency and ease based on priority analysis.