• Journal of the Korean Society for Aeronautical & Space Sciences
• /
• v.31 no.5
• /
• pp.18-24
• /
• 2003

The design cycle associated with large engineering systems requires an initial decomposition of the complex system into design processes which are coupled through the transference of output data. Some of these design processes may be grouped into iterative sybcycles. Previous researches predifined the numbers of design processes in groups, but these group sizes should be determined optimally to balance the computing time of each groups. This paper proposes adaptive decomposition method, which determines the group sizes and the order of processes simultaneously to raise design efficiency by expanding the chromosome of the genetic algorithm. Finally, two sample cases are presented to show the effects of optimizing the sequence of processes with the adaptive decomposition method.

• Korean Journal of Social Welfare
• /
• v.60 no.3
• /
• pp.59-82
• /
• 2008

This study investigated the effect of spouse attitude of psychiatric patients on relapse. The research was based on the concept that spouses' attitudes toward mental illness influences relapse, mediated by marital relationship and social adaptation. Data were collected from 102 of the psychiatrically disordered who were married, and analyzed through Structural Equation Modelling to validate causal paths and mediator effects of the variables. The marital relationship was shown to act as a mediator between spouse attitude and social adaptation, while social adaptation showed a complete mediation effect between marital relationship and relapse. Thus, spouse attitude towards mental illness was shown to have a statistically meaningful effect on relapse indirectly and through sequential mediation effect of marital relationship and social adaptation. This study proposes the facilitation of counseling and training programs to improve the marital relationships of psychiatric patients. The emphasis is on the educational program for the spouses to improve their knowledge of mental illness.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.2
• /
• pp.243-250
• /
• 2008

This paper proposes a system which extracts necessary information from call-for-paper (CFP) documents using a hidden Markov model (HMM). Even though a CFP does not follow a strict form, there is, in general, a relatively-fixed sequence of information within most CFPs. Therefore, a hiden Markov model is adopted to analyze CFPs which has an advantage of processing consecutive data. However, when CFPs are intuitively modeled with a hidden Markov model, a problem arises that the boundaries of the information are not recognized accurately. In order to solve this problem, this paper proposes a two-phrase hidden Markov model. In the first step, the P-HMM (Phrase hidden Markov model) which models a document with phrases recognizes CFP documents locally. Then, the D-HMM (Document hidden Markov model) grasps the overall structure and information flow of the document. The experiments over 400 CFP documents grathered on Web result in 0.49 of F-score. This performance implies 0.15 of F-measure improvement over the HMM which is intuitively modeled.

• The Journal of the Korea Contents Association
• /
• v.15 no.2
• /
• pp.40-57
• /
• 2015

IoT is the foundation technology that the things share the information through connected with Internet to provide service based on these information. It is applied to various fields such as personal, public and industry. Therefore, the service development is required to meet the requirement of the various service environments. The IoT service environment will be developed as the participation IoT service environment which increase the value and efficiency such as the Broadcasting and web services changed from the service provider environment to the user participation service. The user can directly reflect their requirements using the user participation IoT service environment. So, the types of IoT services will diverse and accelerate the spread of IoT service. In this paper, we derive the IoT service element through the analysis of various service scenarios, and propose the participation IoT service model and modeling mechanism. It provides the sequential service model and the relation based service model according to the service modeling proficiency of user. The proposed environment provides the web-based user interface that is implemented by the participation IoT service brokering platform.

• Journal of Digital Convergence
• /
• v.16 no.7
• /
• pp.259-265
• /
• 2018

Compartment models, a type of mathematical model, have been widely applied to characterize the changes in a dynamic system with sequential events or processes, such as the spread of an epidemic disease. A compartment model comprises compartments, and the relations between compartments are depicted as boxes and arrows. This principle is similar to that of the system dynamics (SD) approach to constructing a simulation model with stocks and flows. In addition, both models are structured using differential equations. With this mutual and translatable principle, this study, in terms of SD, translates a reference SEIR model, which was developed in a recent study to characterize the transmission of the Middle East respiratory syndrome (MERS) in South Korea. Compared to the replicated result of the reference SEIR model (Model 1), the translated SEIR model (Model 2) demonstrates the same simulation result (error=0). The results of this study provide insight into the application of SD relative to constructing an epidemic compartment model using schematization and differential equations. The translated SD artifact can be used as a reference model for other epidemic diseases.

• The KIPS Transactions:PartD
• /
• v.13D no.5 s.108
• /
• pp.671-682
• /
• 2006

Until now, a variety of the standard and research activities are progressed in the business process management. However, since the common standard of the collaboration process language has not been determined, the research activities could not be well-systemized. We would present the guide-line to select and use the collaboration process language straightly through comparing different collaboration process languages (BPEL4WS, BPML, WSCI, WS-CDL, BPSS, etc). In this regard, we define the implicit and the explicit collaboration as the collaboration method in advance and present the result acquired according to compare and analyze the features of the collaboration process languages. First, the necessary elements the collaboration process languages have are extracted through the framework of the inter-organizational workflow proposed by Bernauer and the collaboration process modeling procedure(CPMP). Second, we analyze the properties of the collaboration process language based the essential elements. Finally, we show the complete example that the collaboration business process really reflects the characteristics of the collaboration business process languages

• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.478-478
• /
• 2016

4대강 다기능 보 건설 이후 보 내에서 발생하는 녹조를 효과적으로 저감시키기 위해 다양한 방법들이 시도되고 있으며, 댐-보 및 보-보간 연계운영 기법은 수량을 이용하여 대규모 구간에 걸쳐 효과적으로 조류를 저감시킬 수 있어 최근 주목을 받고 있다. 본 연구에서는 영산강 수계 승촌보와 죽산보를 대상으로 조류저감을 위한 다기능보 연계 운영 시나리오에 대해 2차원 모델링을 이용하여 효과를 분석하고 향후 조류저감을 위한 가동보 운영방안 수립에 적용하고자 수행되었다. 시뮬레이션 기간은 2014년 7월 1일부터 7월 15일까지 남조류가 다량으로 발생하였던 시기를 모의기간으로 하였다. 분석시나리오는 최근 낙동강에서 적용된 바 있는 pulse형 방류를 실시하여 수체내에 유속과 난류를 증가시키되 승촌보와 죽산보를 연계하여 순차적인 방류와 담수를 반복하는 형태를 가정하였다. 또한 방류 규모에 따라 수위 저하범위를 0.3~2 m로 차등 적용하여 조류저감 효과를 예측하였다. 예측결과 소수력 발전방류를 이용한 pulse형 방류 연계운영 CASE에서는 최대 승촌보 3.8% 죽산보 8.4%의 저감 효과가 예측되었다. 반면 소수력과 수문방류를 동시에 이용하여 수위 저하범위를 크게 적용하는 CASE에서는 승촌보에서 최대 12.5%, 죽산보 4.7%의 저감율로 방류규모 증가에도 불구하고 죽산보의 저감율은 증가하지 않는 결과를 나타내었다. 이는 상대적으로 저수량이 큰 죽산보에서 큰 폭으로 수위를 저하시킬 경우 수위회복 기간이 길어지고 이 시기에 조류가 성장할 수 있는 조건을 제공하기 때문인 것으로 판단된다. 따라서 조류의 발생 규모와 공간적 분포, 보별 유입지류 유입특성과 저수량 등 조류발생에 관련된 다양한 인자를 복합적으로 고려하여 효율적인 운영방안이 수립되어야 할 것으로 판단된다.

• Proceedings of the Korean Society of Propulsion Engineers Conference
• /
• 2012.05a
• /
• pp.63-64
• /
• 2012

A pyrotechnic actuated device (PAD) is a component that delivers high power in remote environments by combustion of a self-contained energy source. Historically, the design of these devices has been largely empirical and considered to be an art. In this study, an overview for developing an analytical model is introduced that efficiently evaluates performance of PAD. The model is integrated by three parts of different disciplines that are coupled in sequence with each other. First is the solid explosive burning to form product gas within an actuator and transport to an expansion chamber. Second is the insertion of initially tapered piston into a small hole by gas pressure in the chamber. Third is the shear cutting of the diaphragm from the piston to enable gas flow into the conduit. Some results of preliminary study for each of three parts are introduced in the presentation.

• Geophysics and Geophysical Exploration
• /
• v.1 no.1
• /
• pp.71-78
• /
• 1998

Inversion schemes of 2-D MT survey data generally take enormous computational time and computer memory. In addition, careful attention must be paid in handling MT data, especially in cases of TM mode, inversion results can be seriously distorted because of static effect caused by current channeling across inhomogeneous surface boundaries. There-fore inversion algorithm using the GRRI scheme for TM mode MT data was implemented. This scheme is based on a perturbation analysis with a locally 2-D analysis and local inversions were sequently performed over each divided section without additional forward modelings. The algorithm was applied to several synthetic data for the purpose of verification of its efficiency and applicability. With less computer resources than conventional schemes, it could handle static effect directly by including current channeling across inhomogeneous boundaries. Thus it is expected to be used for an useful tool such as a real-time inversion scheme in the field.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.35 no.3
• /
• pp.159-166
• /
• 2022

In this study, slender reinforced concrete columns subjected to high temperatures and eccentric axial loads are evaluated by finite element analysis employing Abaqus (a finite element analysis program). Subsequently, the analysis results are compared and assessed. The sequentially coupled thermal stress analysis provided by Abaqus was employed to reflect the condition of an axially loaded column exposed to fire. First, heat transfer analysis was performed on the column cross-section. After verifying the results, another analysis was conducted: the cross-section was transformed into a three-dimensional element and then structural analyzed. In the analysis process, the column was modeled by accounting for the effects of tension stiffening and initial imperfection that could affect convergence and accuracy. The analysis results were compared with 74 experimental records, and an average error of 6% was observed based on the fire exposure and resistance. The foregoing indicates that the fire resistance performance of reinforced concrete columns can be predicted through finite element analysis.