• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.1-8
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• 2021

This study proposes a systems engineering approach for the development of an advanced planning & scheduling (APS) system for a cosmetic case manufacturing factory. The APS system makes production plans and schedules based on the injection process, which consists of 27 plastic injection machines in parallel to control recommended inventory of products. The system uses machine operation/failure information and defective product/work-in-process tracking information to support intelligent scheduling. Furthermore, a genetic algorithm model is applied to handle the complexity of heuristic rules and machine/quality constraints in this process. As a result of the development, the recommended inventory compliance rate is improved by scheduling the 30-day production plan for 15 main products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.425-433
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• 2016

The construction of a light rail transit (LRT) system is a large and complex infrastructure project involving hundreds of billions of won in construction costs for a single route, and it is very important to carry out such a project from a life-cycle perspective because of its long-term operation. Systems engineering is a means and methodology to successfully implement customers' needs, and it is useful in large projects such as light rail transit. An application model called Systems Engineering for Light Rail Transit (SELRT) was developed to support systems engineering activities in light rail transit projects. In order to utilize SELRT, it is necessary to ensure that system requirements are met. As such, in this paper, we present a verification procedure and architecture based on a systems engineering-based methodology, thereby identifying the system requirements and deriving the verification requirements to confirm the SELRT model for the proposed method. The results show that the traceability of the system requirements and verification requirements, the verification method for each requirement, and the demonstration results for computerized tools are mutually connected, and that the initial requirements are clearly implemented in the SELRT. The proposed method is valid for verifying the SELRT, which can also be utilized in a LRT project.

• Journal of KIISE:Software and Applications
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• v.26 no.3
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• pp.412-421
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• 1999

소프트웨어 개발 및 시스템을 구현하기 위해 사용되고 있는 대표적인 프로세스 모델이 IEEESTD1074-1991, ISO/IEC DIS12207-1, SPICE 모델, MIL-STD 498이다. 이들을 실제 국내 프로젝트들에 적용하기 위해 여러 가지 해결방안이 연구되고 있다. 일반적으로 프로젝트을 수행할 때, 개발 이전 단계 프로세스 설계의 실패는 전체 프로젝트 공정에 영향을 준다. 본 논문에서는 프로세스 중심 소프트웨어 엔지니어링 환경을 기반으로 하여 개발 이전 단계의 프로세스를 설계하는 방법을 제안한다. 이 방법은 프로세스, 활동, 테스크들의 연관관계를 도식화하고 있다. 그리고 설계된 결과를 국내 프로젝트들에 적용, 그 결과를 분석한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1998.04a
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• pp.95-100
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• 1998

포유류 특히 인간에게서 발견되는 기는 포유류가 동적인 환경에 적응해가는 과정에서 우연적으로 생성시킨 심리적 개념으로 보인다. 본 논문에서는 엔지니어링 관점에서 기 개념을 구현하는 한가지 모델을 제안하였다. 우선 심리적현상의 기초단위로써 심리적 포텐셜을 정의하고 이 포텐셜을 결합하여 기개념을 발현시키는 방안을 모색하였다. 다음으로 제안된 모델이 갖는 동역학적 특성을 분석하였으며 제안된 모델이 특히 동적인 환경에서 개선된 적응성을 가질 수 있음을 보였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.390-395
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• 2002

MPLS는 고속 전달, 트랙픽 엔지니어링 그리고 가상 사설망 서비스를 가능하게 한다. MPLS 레이블 스위치와 제어기 사이에서 동작하는 GSMP 프로토콜은 연결, 구성, 장애, 성능관리 및 동기화 기능을 제공하는 개방형 인터페이스 프로토콜이다. GSMP가 적용된 개형형 인터페이스의 망 관리 기능은 제어기 또는 레이블 스위치에 위치할 수 있다. 본 논문에서는 MPLS 레이블 스위치의 단순화 및 자원 이용의 효율성을 높이기 위하여 SNMP 에이전트가 제어기에 탑재되는 망 관리 모델을 제시하였다. MPLS-LSR 및 FTN MIB와 GSMP 메시지의 매핑 시나리오를 제시하였으며, 제어기의 구현을 통하여 본 논문에서 제시된 망 관리 모델의 실현성을 확인하였다.

• Plant Journal
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• v.13 no.2
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• pp.39-45
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• 2017

This paper is a study on FEED validation model that can be used in the bidding stage of small utility equipment in offshore plant industry using system engineering technique. Currently, domestic marine plant equipment industry companies are faced with the financial risk of project execution as they enter marine plant. The major cause was the insufficient ability to verify the FEED output from the contractor (Engineering or Procurement and Construction) of the equipment manufacturer (COMPANY or EPC). Therefore, we propose FEED design verification method that simplifies the system engineering method that sequentially applies requirements analysis, function, performance analysis and physical architecture building process. Also, we verified the suitability of the developed model by comparing the results of applying the developed FEED verification model and the verification method that depends on the existing experience for the small utility equipment (Air Compressor).

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.153-165
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• 2022

This study is about the Novel Engineering(NE) education program : a class model that combines reading and engineering. By including the process of directly designing and programming a virtual reality using CospacesEdu (a VR authoring tool for the NE class), the effects of the educational program on learners' STEAM literacy and Learning immersion are demonstrated. Moreover, the subject of this education is Dokdo in South Korea. As a result, the average of STEAM literacy is increased, and a significant change is confirmed statistically in Convergence. Learning immersion shows significant improvement in Challenges-skills balance. On the other hand, some students experience difficulties due to the long research stages, from reading a book to researching for information to designing VR and rewriting a story with the collected information. In conclusion, this study will help generalise other education using NE, and this developed program will be a reference that would suggest a new way of teaching.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.5
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• pp.351-365
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• 2021

Water treatment process simulator is the tool for predicting sequential changes of water quality in a train of unit processes. This predicts the changes through governing equations that represent physicochemical performance of each unit processes with an initial and boundary conditions. Since there is no operational data for the design of a water treatment facility, there is no choice but to predict the performance of the facility by assuming initial and boundary conditions in virtual reality. Therefore, a simulator that can be applied in the design stage of a water treatment facility has no choice but to be built as a numerical analysis model of a deductive technique. In this study, we had conducted basic research on governing equations, inter-process data-flow, and simulator algorithms for the development of simulators. Lastly, this study will contribute to design engineering tool development research in the future by establishing the water treatment theory so that it can be programmed in a virtual world and suggesting a method for digital transformation of the water treatment process.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.77-93
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• 2022

In this study, we present an algorithm that analyzes the risk by reflecting regional characteristics for factors affected by direct and indirect damage from heavy-snow. Factors affected by heavy-snow damage by 29 regions are selected as influencing variables, and the concept of sensitivity is derived through the relationship with the amount of damage. A snow damage risk prediction model was developed using a machine learning (XGBoost) algorithm by setting weather conditions (snow cover, humidity, temperature) and sensitivity as independent variables, and setting the risk derived according to changes in the independent variables as dependent variables.

• The Journal of Engineering Geology
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• v.32 no.2
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• pp.221-239
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• 2022

Unknown geotechnical characteristics are key challenges in the design of piles for the plant, civil and building works. Although the N-values which were read through the standard penetration test are important, those N-values of the whole area are not likely acquired in common practice. In this study, the N-value is predicted by means of regression analysis with artificial intelligence (AI). Big data is important to improve learning performance of AI, so circular augmentation method is applied to build up the big data at the current study. The optimal model was chosen among applied AI algorithms, such as artificial neural network, decision tree and auto machine learning. To select optimal model among the above three AI algorithms is to minimize the margin of error. To evaluate the method, actual data and predicted data of six performed projects in Poland, Indonesia and Malaysia were compared. As a result of this study, the AI prediction of this method is proven to be reliable. Therefore, it is realized that the geotechnical characteristics of non-boring points were predictable and the optimal arrangement of structure could be achieved utilizing three dimensional N-value distribution map.