• 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.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.11
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• pp.471-480
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• 2023

The Korean construction order volume in South Korea grew significantly from 91.3 trillion won in public orders in 2013 to a total of 212 trillion won in 2021, particularly in the private sector. As the size of the domestic and overseas markets grew, the scale and complexity of EPC (Engineering, Procurement, Construction) projects increased, and risk management of project management and ITB (Invitation to Bid) documents became a critical issue. The time granted to actual construction companies in the bidding process following the EPC project award is not only limited, but also extremely challenging to review all the risk terms in the ITB document due to manpower and cost issues. Previous research attempted to categorize the risk terms in EPC contract documents and detect them based on AI, but there were limitations to practical use due to problems related to data, such as the limit of labeled data utilization and class imbalance. Therefore, this study aims to develop an AI model that can categorize the contract terms based on the FIDIC Yellow 2017(Federation Internationale Des Ingenieurs-Conseils Contract terms) standard in detail, rather than defining and classifying risk terms like previous research. A multi-text classification function is necessary because the contract terms that need to be reviewed in detail may vary depending on the scale and type of the project. To enhance the performance of the multi-text classification model, we developed the ELECTRA PLM (Pre-trained Language Model) capable of efficiently learning the context of text data from the pre-training stage, and conducted a four-step experiment to validate the performance of the model. As a result, the ensemble version of the self-developed ITB-ELECTRA model and Legal-BERT achieved the best performance with a weighted average F1-Score of 76% in the classification of 57 contract terms.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.557-569
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• 2021

In preparation for the future society, the educational curriculum is changing according to the trend of the times, and with the advent of the era of the 4th Industrial Revolution, the purpose of the new 2015 revised curriculum was suggested to foster the convergence creativity of students. The purpose of software education is to promote creativity and further develop problem-solving skills in connection with real life. In addition, flow in learning leads to outstanding educational achievement. However, in elementary school computer education, there is still a lack of development of a convergence class model for students to easily immerse themselves and promote creative problem-solving skills. Therefore, in this study, we designed convergence computer education using Novel Engineering, which is a convergence class model suitable for these educational conditions and applied it to classes. Further, to measure the effect on the improvement of learning flow and creative problem-solving ability. the Novel Engineering-based computer class was applied to the experimental group for 6th graders, and the general computer class was applied to the control group. As a result of the pre-post test between groups, it was found that computer classes using Novel Engineering had a positive effect on learning flow and creative problem-solving ability.

• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.1-9
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• 2008

Most consumer electronics companies hold numerous line-ups to cope with divergent customer's needs. To cope with current situation, most products are derived from the 'base product' which is developed for brand new features with respect to the change requests. That is called derivation. After 'base code' is developed for newly introduced products, some modification will occur corresponding to the derivative product models. So, quality attributes of 'base code' affects quality and productivity of 'derived code'. But in the middle of continuous modification to 'base code', violation of architectural design decision and unauthorized or maybe unsophisticated change to source code willing to happen and thus it cause critical problem. Those code has 'aging symptom' both architectural and code level in nature. In this paper, we introduced reengineering framework which guide the procedure and tactics to find and fix 'aging symptom' for improvement on quality attribute of 'base code'.

• Journal of Internet Computing and Services
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• v.24 no.5
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• pp.51-66
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• 2023

In this paper, we propose a new type of process discovery framework, which is named as control-path-driven process group discovery framework, to be used for process mining and process reengineering in supporting life-cycle management of business process models. In addition, we develop a process mining system based on the proposed framework and perform experimental verification through it. The process execution event logs applied to the experimental effectiveness and verification are specially defined as Process BIG-Logs, and we use it as the input datasets for the proposed discovery framework. As an eventual goal of this paper, we design and implement a control path-driven process group discovery algorithm and framework that is improved from the ρ-algorithm, and we try to verify the functional correctness of the proposed algorithm and framework by using the implemented system with a BIG-Log dataset. Note that all the process mining algorithm, framework, and system developed in this paper are based on the structural information control net process modeling methodology.

• Aerospace Engineering and Technology
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• v.4 no.1
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• pp.203-210
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• 2005

Prototype model of MDU(Master Data Unit), to be employed on KSLV-I, has been developed and tested being interfaced with other units. Before stepping into the development of engineering and flight model phases, we have carried out reliability prediction of prototype MDU in order to assure availability of the unit. This paper describes the method of reliability prediction of prototype MDU and prediction results based on MIL-HDBK-217F, 'Electronic Reliability Design Handbook'.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.101-104
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• 2010

본 논문에서는 구조설계, 철근배근시공도 작성, 골조 물량 산출, 3D BIM 모델 생성 등 기존에 독립된 업무로 수행되던 골조공사 관련 엔지니어링 업무를 통합 수행하는 골조공사 관리시스템 ConiForm을 개발하여 2차원 CAD로부터 3D 골조모델 생성하고, 3D 모델로부터 철근의 이음/정착/철근길이 등을 반영한 철근배근시공도 및 가공도 작성과 골조물량을 산출하여, 3D BIM 도구와의 연동함으로써 정밀 물량 및 견적을 자동 산출하고 건축모델과 구조모델 간 정보공유 및 통합 BIM 실현 등을 제시하고자한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.137-138
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• 2022

소스 코드 식별자의 이름을 잘 정하는 것은 소프트웨어 엔지니어링에서 중요한 문제로 다루어지고 있다. 프로그램 엔티티의 의미있고 간결한 이름은 코드 이해도에 중요한 역할을 하며, 소프트웨어 유지보수 관리 비용을 줄이는 데에 큰 효과가 있다. 이러한 코드 식별자 중 평균적으로 가장 복잡한 식별자는 '메소드 이름'으로 알려져 있다. 본 논문에서는 메소드 내용과 일관성 있는 적절한 메소드 이름 생성을 자연어 처리 태스크 중 하나인 '추상적 텍스트 요약'으로 치환하여 수행하는 트랜스포머 기반의 인코더-디코더 모델을 제안한다. 제안하는 모델은 Github 오픈소스를 크롤링한 Java 데이터셋에서 기존 최신 메소드 이름 생성 모델보다 약 50% 이상의 성능향상을 보였다. 이를 통해 적절한 메소드 작명에 필요한 비용 절감 달성 및 다양한 소스 코드 관련 태스크를 언어 모델의 성능을 활용하여 해결하는 데 도움이 될 것으로 기대된다.

• Aerospace Engineering and Technology
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• v.6 no.1
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• pp.173-181
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• 2007

Radiated emission / susceptibility performance of the KSLV-I 2nd stage which are controlled from the unit level to the system level should be examined and managed all over the frequency ranges in order to ensure the normal operation of the SC, the 1st stage of the KSLV-I, ground support equipments which are installed at the space center, and other wireless communication networks. Not only unintentional electric field emissions from the KSLV-I system and its subsystems should be restricted to the levels less than the limits specified in the EMC requirements, but also proper test and evaluation method should be established, respectively. In this paper, radiated emission/susceptibility test limits, method, and test results of the KSLV-I 2nd stage engineering model are presented.