• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.479-482
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• 2007

The volume of Construction project is increasing now in Korea. The complexity and variety makes the project many problems. But there are few construction contract experts. This results in a lot of managerial conflicts. Specially Engineer/Designer confront gigantic risk related to their job. So, to classify and to identify the risk practical investigation about Engineer/Designer's job. Therefore, to avoid and to prevent the claims for Engineer/Designer, clarification of the scope of service, use of external claim expert, and introduction of professional liability insurance should be accomplished.

• Korean Journal of Construction Engineering and Management
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• v.6 no.1 s.23
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• pp.205-211
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• 2005

Turnkey projects accounting for some $10\%$ of the total volume of the projects in the domestic market have been often implemented without the process of full-scale review or study because of clients' lack of expert and expertise. Moreover, many projects have been executed under the terms and conditions of the contact which were found to be unilaterally in favor of the clients. The study, as part of effects to mitigate the claims that would possibly be caused by the potential problems with the typical turnkey projects, were intended to identify the elements of the claims virtually being occurred at the construction sites, and then analyze the degree of influence on the project so as to be able to incorporate the outcome into the plan at the working-levels. As a result of experts' review, through the survey, of the elements once extracted, those having relatively higher degrees of influence on turnkey projects were determined, and the investigation aimed at estimating the amount of claims in terms of value were conducted to eventually identify, evaluate and verify the elements that had affected the Project together with the degree of influence.

• Korean Journal of Construction Engineering and Management
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• v.2 no.1 s.5
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• pp.78-87
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• 2001

Recently many construction claims related to the ommission and discrepancy of design document are alleged since 1998 and various dispute resolution methods are appeared. But many contractors alleged claims are not satisfied with the result because of not sufficiently reflecting construction practice. The purpose of this study is to analyze the liability of contract privity from the view point of the contract related law and to analyze the claims and claim factor, and to suggest construction contract practice in the public project. The construction claims related to the design document may be minimized, through (1) the accumulation and retrieval of standard forms by owners' type, (2) the usage of specified specification considering project characteristics, (3) the materialization of detail subsurface design and various contract method in heavy engineering construction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.421-422
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• 2021

국내·외 기업들의 기술을 보호하고자 매년 100만개의 특허가 출원되고 있다. 등록된 특허 수가 증가될수록 전문가의 판단만으로 원하는 기술 분야의 유효한 특허문서를 선별하는 것은 효율적이지 않으며 객관적인 결과를 기대하기 어려워진다. 본 연구에서는 유효 특허문서 분류 정확성과 전문가의 업무 효율성을 제고하고자 비지도학습 모델인 잠재 디리클레 할당 알고리즘(Latent Dirichlet Allocation, LDA)과 딥러닝을 활용하여 자동 특허문서 분류 시스템을 제안하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.45-53
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• 2012

Recently, with achieved US$ 500 Billion international cumulative construction order, the Korean government presented overseas construction industry visions for international orders of US$ 100 Billion and entering the top five countries in global construction market. Also, Korean companies are developing strategies for expansion of international markets. However, ODA loan projects are low risk for the Korea Construction companies trying to advance their overseas business. This study provides data-based advice on securing competence for Korean construction companies entering the global market through the ODA loan projects. To analysis construction firm's competitiveness for ODA loan project, FGD was utilized and BSA model was applied to the valuable analysis. Competencies highly assessed were construction quality control, relationship building through high-level diplomatic activities, and project management. Competencies requiring urgent improvement were handling risks of local countries, financing projects, and developing know-how within participating companies.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.17-25
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• 2011

Green IT, composed term with Green and Information Technology(IT), use IT for energy savings and carbon emission reductions. Green IT went beyond the scope of greening IT, and recently it's concept is expanded as far as counterplan of climate change including greening other industries by IT. 85% of total greenhouse gas emissions from the energy sector and 20% of them comes from transport parts, so it is time to research IT for automotive industry. In this paper, we take up the knowledge based fuzzy logic to provide life cycle analysis associated with greenhouse gas emissions for industry produced warranty claims frequently such as automobile industry. We propose a analysis method of warranty claims using expert knowledge about the warranty in car exhaust systems related to greenhouse gas emissions, past test results of malfunction, analysis of past field data, and warranty data. Furthermore, we propose life knowledge-based GWS (Greenery Warranty System). We demonstrate the applicability of IT in eco-friendly automotive industry by implementing knowledge-based fuzzy logic and applying.

• Korean Journal of Construction Engineering and Management
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• v.7 no.5
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• pp.138-148
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• 2006

In constructing projects, there exist various kinds of work interferences, which cause a delay of the outset and completion of planned schedule because of some attributions, such as variability, uncertainty and complexity, and so schedule delay has been treated as a natural phenomenon. To reduce or prevent the schedule delay, a constant confirmation of schedule delay and a preparation of counter plans for finding out the cause structure of schedule delay should have been done. However, all this time the research has been mostly done on the calculation method or claim cases of schedule delay, and the range of analysis method of the cause structure of schedule delay has been multifarious from industrial views to views of specific work. Moreover, the classifying system and analysis method did not consider the trait, which cause the schedule delay, in constructing projects. For this reason, it is difficult to compare the cause of delay factors of the projects and to understand the effect of schedule delay by each factor. This paper restricts the range of the cause analysis of schedule delay to the field of site management in the projects and divides the cause structure of schedule delay into the cause objects and cause attributes of schedule delay according to the input elements. The system of classifying causes of schedule delay is examined by interviews with experts and questionnaire. Additionally, this paper analyzes the attributes of cause attributes and cause subjects and presents the analysis method and procedure of schedule delay with the application of VSM.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.2
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• pp.239-247
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• 2023

The FIDIC Red Book is an international standard contract condition in which the Employer designs and the Contractor performs the construction. The Engineer of FIDIC Red Book shall agree or determine any matter or Claim in accordance with Sub-Clause 3.7 neutrally, not as an agent of the Employer. This study aimed to derive Key Risk Sub-Clauses out of 49 Sub-Clauses that the Engineer of FIDIC Red Book recently revised in 18 years shall agree or determine according to Sub-Clause 3.7 using the Delphi method. A panel of 35 experts with more than 10 years of experience and expertise in international construction contracts was formed, and through total three Delphi surveys, errors and biases were prevented in the judgment process to improve reliability. As for the research method, 49 Sub-Clauses that engineers shall agree on or determine according to Sub-Clause 3.7 of the FIDIC Red Book were investigated through the analysis of contract conditions. In order to evaluate the probability and impact of contractual risk for each 49 Sub-Clause, the Delphi survey conducted repeatedly a closed-type survey three times on a Likert 10-point scale. The results of the first Delphi survey were delivered during the second survey, and the results of the second survey were delivered to the third survey, which was re-evaluated in the direction of increasing the consensus of experts' opinions. The reliability of the Delphi 3rd survey results was verified with the COV value of the coefficient of variation. The PI Risk Matrix was applied to the average value of risk probability and impact of each of the 49 Sub-Clauses and finally, 9 Key Risk Sub-Clauses that fell within the extreme risk range were derived.

• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.33-44
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• 2012

This study is as to payment improvement method of additional incidental cost to be occurred upon extension of public construction time. According to the result of analysis about the cause of non-payment of additional incidental cost of construction time extension through site examples, it was found that difficulties exist in disputes & proofing over the scope of actual cost recognition, and in this regard the result of experts opinion indicated that a construction extension pre-agreement system can be executed which agrees the scope of recognition of additional incidental cost of construction time extension once the statistical standard is clear and accurate. Accordingly, in this study, by totalling multiple sites data, calculations were implemented in terms of type of construction projects, amount of constructions, period of constructions. According to the result of calculation, the element of type of construction project and construction period appears to have none direct effect to the occurrence of additional cost of construction time extension, but direct relationship was indicated related to the contract amount element. In view of above, in this study a standard additional incidental cost of construction time extension was proposed, and presented a system improvement plan to implement the construction extension pre-agreement system.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.155-174
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• 2022

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (