• Korean Journal of Construction Engineering and Management
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• v.13 no.6
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• pp.54-62
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• 2012

Currently, construction engineering industry of high value and rapid growing has been viewed as a future oriented industry. Thus, compared to other industries, its analysis system for business trend seems insufficient. This research has developed a business survey index model targeted for construction engineering industries, and business trends for 4/4 quarter of 2011 as well as 1/4 quarter of 2012 were surveyed as important traits were analyzed. Business Survey Index of Construction Engineering has been constructed in form of an index in order to accurately judge different economic states of the industry such as funding areas, human resources, payability, ordering scale, status of domestic and foreign markets, Difficulties in Management, and improvements in policies. In the future, CEBSI will not only be applied on the construction engineering industry, but it will also be used as the economic state of all construction industries as well as the prospect data. Thus, it will be utilized as basic resources that can establish systematic and accurate policies.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.481-492
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• 2023

This study explores how to build a Korean dataset to extract information from text using generative large language models. In modern society, mixed information circulates rapidly, and effectively categorizing and extracting it is crucial to the decision-making process. However, there is still a lack of Korean datasets for training. To overcome this, this study attempts to extract information using text-based zero-shot learning using a generative large language model to build a purposeful Korean dataset. In this study, the language model is instructed to output the desired result through prompt engineering in the form of "system"-"instruction"-"source input"-"output format", and the dataset is built by utilizing the in-context learning characteristics of the language model through input sentences. We validate our approach by comparing the generated dataset with the existing benchmark dataset, and achieve 25.47% higher performance compared to the KLUE-RoBERTa-large model for the relation information extraction task. The results of this study are expected to contribute to AI research by showing the feasibility of extracting knowledge elements from Korean text. Furthermore, this methodology can be utilized for various fields and purposes, and has potential for building various Korean datasets.

• Proceedings of the KSR Conference
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• 2009.05a
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• pp.1029-1034
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• 2009

3자원 정보모델에 기반한 건설프로세서의 혁신이 새로운 추세가 되고 있고 고속철도와 같이 시스템엔지니어링에 해당하는 경우에는 가장 좋은 활용 사례가 될 수 있다. 정보모델은 3차원 영상에 기반하고 다양한 구성요소가 가진 기본정보와 설계와 유지관리에 이르는 생애주기 정보를 저장하고 재활용할 수 있도록 한다. 이 논문에서는 호남고속철도의 한 구간을 대상으로 이미 제안된 철도시설물정보모델의 개념에 근거하여 3차원 정보모델을 구성하였다. 구성된 정보모델에 기반하여 2차원도면, 해석, 견적, 시뮬레이션 등의 각 솔루션으로의 연동성 확보를 위한 시범사업의 결과를 정리하였다. 콘크리트 박스 교량을 대상으로 하는 시범사업을 통해서 생산성 향상 및 3차원 모델의 재활용성을 확보하였다.

• The Journal of Engineering Geology
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• v.31 no.1
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• pp.19-30
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• 2021

This study evaluated the injection rate and the injection efficiency of the artificial recharge in the upper drought-prone watershed region, where the remaining water was used for injection, by using a numerical model to secure water during a drought. As a result of a numerical model under the condition of diverse injection rates per a well and hydraulic characteristics of the aquifer, the optimal injection rate per a well was estimated as 50.0 ㎥/day, and the injection efficiency was simulated as 33.2% to 81.2% of the total injection volume. As the injection time was shorter, the injection efficiency tented to increase non-linearly. As the injection rate increased, the residual storage in aquifer increased and available groundwater amount also increased, which could be advantageous for drought relief. For a more accurate assessment of injection efficiency, the model will be validated using the field injection data and optimum scenarios will enable the efficient operation of the artificial recharge system in the study area.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 1999.10a
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• pp.5-5
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• 1999

3단형 과학로켓(KSR-III)의 기본형 및 응용형에 공통으로 사용되는 주엔진은 액체산소를 산화제로, 케로신을 연료로 사용하는 액체추진기관이다. 엔진 기본설계를 통하여 로켓 임무 요구사항에 부합되도록 엔진 각 부분의 기본제원을 설정하였고, 엔진의 형상을 결정하였다. 설계된 엔진의 성능검증 작업은 분사시험용 엔진, 축소형 엔진, 엔지니어링 모델 및 비행시험모델의 설계/제작/시험을 통하여 순차적으로 수행할 계획이다. 본 연구는 3단형 과학로켓 엔진의 기본설계 및 성능검증 계획에 관한 것이다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2010.05a
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• pp.348-348
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• 2010

신 차종의 개발 시, 기존 차량 모델을 사용하여 재 설계하는 방식에 의해 전례 없이 빠르게 차량 개발을 수행하고 있다. 또한 대부분의 이들 후속 차량은 공통 플렛폼 상에 설계되고 있으며, 일반적으로 충격, 구조 건전성, 생산 타당성 검토 등의 컴퓨터 시뮬레이션은 개발 프로세서 초기 단계에서 행하여 지고 있으나. NVH 엔지니어링은 차량 개발 프로세스의 매우 중요한 과정으로 되어 있음에도 불구하고, 실내 소음, 진동 승차감, 피로 수명 예측 등은 사용되는 해석 모델의 크기 및 복잡성으로 인하여 이들 성능 특성 평가 및 최적화는 아직 도전 과제이며, 본 논문에서는 몇몇 선진 OEM에서 수행되고 있는 NVH 개발 프로세스와 이를 가능케 하는 기법을 소개한다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.05a
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• pp.224-224
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• 2004

제품 개발 초기 단계에서 제품의 개념을 신속하게 구체화하여 제품의 기능, 구성, 부품 간 관계, 치수 및 간단한 형상들을 정의한 후, 검증(해석 및 실험)을 통해 가장 최적화된 설계 결과를 얻는다. 그러나 이 과정에서 일반적으로 설계 정보를 바탕으로 해석을 수행하기 위한 모델을 새롭게 생성해야 하는 문제가 있다. 또한 설계 변경이 발생하는 경우에는 도면을 다시 작성하고 해석 모델이 재생성 및 부품 생성을 위하여 데이터 입력을 다시 해야 한다. 이러한 문제는 선박의 초기 설계 및 해석 분야에서도 발견할 수 있다.(중략)

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.5
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• pp.523-532
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• 2019

Microservice architecture focuses on dividing it into small and lightweight services to build for the purpose of performing very close business functions. So it tends to concentrate only on agility, productivity, reliability, and ease of deployment of software development. Microservice architecture considers database as just a file or storage for storing and extracting data, emphasizing that data quality can be sacrificed for convenience and scalability of software development. Database reverse engineering for understanding database structure and data semantics is needed for data utilization for business decision making. However, it is difficult that reverse database engineering is applied in microservice architecture that neglects data quality. This study proposes database reverse engineering method that utilizes master data to restore the conceptual data model as a solution. The proposed method is applied to the return service database implemented by microservice architecture and verified its applicability.

• Korean Journal of Clinical Laboratory Science
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• v.52 no.2
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• pp.112-118
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• 2020

This study was undertaken to examine the effects and to investigate the relevant mechanisms of overexpressing stromal cell-derived factor-1 (SDF-1) produced by engineered mesenchymal stem cells, in a neurogenic bladder (NB) rat model. Sprague-Dawley (SD) rats (N=48) were randomly divided into 4 groups comprising 12 rats each: control group, Injury group, Injury+imMSC group, and Injury+SDF-1 eMSC group. Rats in the Injury+imMSC group were treated with imMSCs, whereas the Injury+SDF-1 eMSC group were administered SDF-1 eMSCs. After 4-weeks therapy, the bladder and pelvic nerve (PN) tissues were examined by subjecting to Masson's trichrome staining and immunofluorescence. Administration of SDF-1 eMSC resulted in improved smooth muscle content in the bladder tissue, significantly increased β-III tubulin expression of the PN, and enhanced SDF-1 expression (P<0.05). The bladder wall repair can be attributed to the overexpression of SDF-1 by SDF-1 eMSCs. Significantly increased SDF-1 expression was obtained in the Injury+SDF-1 eMSC group (P<0.05). The crushed PN also showed significant recovery in the Injury+SDF-1 eMSC group (P<0.05). In conclusion, our results indicate that SDF-1 eMSCs express more SDF-1 in vivo, thereby facilitating the repair of injured nerve and recovery of NB in rats.

• Journal of the Korea Safety Management & Science
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• v.2 no.1
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• pp.77-87
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• 2000

BOM has been widely used to manufacturing, product design and scheduling. There are several bug differences between Manufacturing BOM and Engineering BOM, which cause a lot of problems. A study to integrate both manufacturing BOM and Engineering BOM is researching to solve those problems. Therefore, this research presents a extended Engineering BOM concepts considering assembly sequence model.