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Bo Min Bae;Dae Wi Jung;Jang Hyeon An;Se O Choi;Sang Hyeon Lee;Si Won Sung;Yeon Soo Kim;Yong Joo Kim
- Journal of Drive and Control
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- v.21 no.2
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- pp.44-52
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- 2024
In this study, we predicted PTO power requirements based on torque predicted by the discrete element method and the multi-body dynamics coupling method. Six different scenarios were simulated to predict PTO power requirements in different soil conditions. The first scenario was a tillage operation on cohesionless soil, and the field was modeled using the Hertz-Mindlin contact model. In the second through sixth scenarios, tillage operations were performed on viscous soils, and the field was represented by the Hertz-Mindlin + JKR model for cohesion. To check the influence of surface energy, a parameter to reproduce cohesion, on the power requirement, a simple regression analysis was performed. The significance and appropriateness of the regression model were checked and found to be acceptable. The study findings are expected to be used in design optimization studies of agricultural machinery by predicting power requirements using the discrete element method and the multi-body dynamics coupling method and analyzing the effect of soil cohesion on the power requirement.
https://doi.org/10.7839/ksfc.2024.21.2.044 인용 PDF

Kim, HyunJong;Lee, TaiHun;Ryu, SeungEui;Kim, NaRang
- Journal of Korea Society of Industrial Information Systems
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- v.23 no.3
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- pp.13-24
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- 2018
For government and public institutions, civil complaints containing direct requirements of citizens can be utilized as important data in developing policies. However, it is difficult to draw accurate requirements using text mining methods since the nature of the complaint text is unstructured. In this study, a new method is proposed that draws the exact requirements of citizens, improving the previous text mining in analyzing the data of civil complaints. The new text-mining method is based on the principle of Co-Occurrences Structure Map, and it is structured by two-step association analysis, so that it consists of the first-order related word and a second-order related word based on the core subject word. For the analysis, 3,004 cases posted on the electronic bulletin board of Busan City for the year 2016 are used. This study's academic contribution suggests a method deriving the requirements of citizens from the civil affairs data. As a practical contribution, it also enables policy development using civil service data.
https://doi.org/10.9723/jksiis.2018.23.3.013 인용 PDF KSCI

Lee, Jae-Ho;Kim, Jae-Seon;Park, Soo-Yong
- Journal of KIISE:Software and Applications
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- v.29 no.4
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- pp.211-224
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- 2002
As system become larger and more complex, it is important to correctly analyze and specify user's requirements. Use case modeling is widely used in Object-Oriented Analysis and Design(OOAD) and Component-Based Development(CBD). It is useful to mitigate the complexity of the requirements analysis. However, use cases are difficult to be structured, to explicitly represent non-functional requirements, and to analyze what is affected by changes of use cases. To alleviate these problems, we propose scenario-based goal-oriented approach for use case modeling. The approach is to apply goal-oriented analysis method to use case model. Since goal-oriented analysis method is not systematic and heuristics is considerably involved, we adopted scenarios as the basis for the goal extraction. The proposed method is applied to City Bus Information Subsystem(CBIS) in Intelligent Transport Systems(ITS) domain. The proposed approach helps software engineer to analyze what is affected by use case's changes and represent non-functional requirements.
PDF KSCI

Kim, Ja-Hee;Lee, Tae-Eog
- Proceedings of the CALSEC Conference
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- 2004.02a
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- pp.313-316
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- 2004
BCF ·Business Collaboration Framework ·Object implementation neutral approach to the exchange of global business requirements(omitted)
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