• Journal of Nutrition and Health
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• v.36 no.7
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• pp.759-768
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• 2003

This study examined the factors related to stages of dietary behavioral changes among 1449 child bearing aged women (mean age $\pm$ SD = 25.6 $\pm$ 5.3 years) residing in large cities. A self administered questionnaire was used to assess stages of dietary behavioral change, meal balance and regularity, food availability, nutrition knowledge, body mass index, nutrient intake, and psycho-social factors including self efficacy, perceived benefits and barriers, social modeling. Undesirable dietary behaviors (precontemplation and contemplation) were shown among 45.1-57.4% of the participants, among those, 33.4-43.0% were precontemplators. Participants' self efficacy scores associated with dietary changes were higher in specific situations (3.42) as compared to general situations (2.86). Similarly, they appeared to perceive more benefits (3.86) rather than barriers (2.76) by changing their inappropriate eating habits. Perception and accuracy scores of nutrition knowledge were relatively high, indicating 90.9 and 80.1, respectively. In terms of food availability at home, fresh fruits received the highest score, followed by milk and milk products, vegetables, meat, alcoholic beverages and soft drinks. In social modeling assessment, family members, as compared to friends, appeared to have better dietary habits. Stages of dietary behavioral change assessed in terms of meal regularity were associated with nutrient intake, showing higher energy and carbohydrate intakes but lower fat intake among those who belonged to the action and maintenance stage. They also presented higher self efficacy and perceived more benefits and less barriers regarding the change of undesirable eating habits. Fresh meat and vegetables were more available among those maintaining desirable dietary habits. Results of this study presented the significant relations of motivational and reinforcing social factors with stages of dietary behavioral changes and a need for the development of tailored nutrition education program considering these factors for child-bearing aged Korean women.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.223-232
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• 2020

This study aims to examine the trend of research articles for the age of youth at 20s during 10 years through topic modeling and keyword network analysis. In results, 'incomes', 'program', 'business start-up', and 'culture' were selected as main keywords, and the research articles were classified into six topics, which were employment support services, values, unstable life, government support policies, religious views, and business start-up support services. Additionally, we found the youth at 20s had higher rate of efficacy for digital technology, pursued efficient consumption of digital information, showed meaningful and athetical patterns of consumption, tried to search for their identity, and showed realistic action in daily. Finally, we raised some questions for value gap among aging groups, inbalance of regional development, and income inequality and suggested long-term youth policies to solve fundamental problems of youth at 20s.

• Journal of KIISE:Software and Applications
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• v.37 no.5
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• pp.354-362
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• 2010

This paper proposes a new method for a hierarchical analysis of human gait by dividing the motion into gait direction and gait posture using the tool of dynamic Bayesian network. Based on Factorial HMM (FHMM), which is a type of DBN, we design the Gait Motion Decoder (GMD) in a circular architecture of state space, which fits nicely to human walking behavior. Most previous studies focused on human identification and were limited in certain viewing angles and forwent modeling of the walking action. But this work makes an explicit and separate modeling of pedestrian pose and posture to recognize gait direction and detect orientation change. Experimental results showed 96.5% in pose identification. The work is among the first efforts to analyze gait motions into gait pose and gait posture, and it could be applied to a broad class of human activities in a number of situations.

• Bulletin of the Korean Chemical Society
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• v.32 no.12
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• pp.4397-4402
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• 2011

The NF-${\kappa}B$ system of transcription factors plays a crucial role in inflammatory diseases, making it an important drug target. We combined quantitative structure activity relationships for predicting the activity of new compounds and quantitative dynamic models for the NF-${\kappa}B$ network with intracellular concentration models. GFA-MLR QSAR analysis was employed to determine the optimal QSAR equation. To validate the predictability of the $IKK{\beta}$ QSAR model for an external set of inhibitors, a set of ordinary differential equations and mass action kinetics were used for modeling the NF-${\kappa}B$ dynamic system. The reaction parameters were obtained from previously reported research. In the IKKb QSAR model, good cross-validated $q^2$ (0.782) and conventional $r^2$ (0.808) values demonstrated the correlation between the descriptors and each of their activities and reliably predicted the $IKK{\beta}$ activities. Using a developed simulation model of the NF-${\kappa}B$ signaling pathway, we demonstrated differences in $I{\kappa}B$ mRNA expression between normal and different inhibitory states. When the inhibition efficiency increased, inhibitor 1 (PS-1145) led to long-term oscillations. The combined computational modeling and NF-${\kappa}B$ dynamic simulations can be used to understand the inhibition mechanisms and thereby result in the design of mechanism-based inhibitors.

• The Journal of the Korea institute of electronic communication sciences
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• v.1 no.1
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• pp.20-26
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• 2006

One of the computer application fields which started showing noticeable new growth trends in recent years is the real time communication distributed computing application field. Object -oriented(OO) real time(RT) distributed computing is a form of real-time distributed computing realized with a distributed computer system structured in the form of an object network. In this paper, we describes the application environment as the DHS (distributed high-precision simulation) with TMO structure. The TMO scheme is aimed for enabling a great reduction of the designer's effort in guaranteeing timely service capabilities of distributed computing application systems. It has been formulated from the beginning with the objective of enabling design-time guaranteeing of timely action. In the real time simulation techniques based on TMO object modeling, we have observed several advantages to the TMO structuring scheme. TMO object modeling has a strong traceability between requirement specification and design, cost-effective high-coverage validation, autonomous subsystems, easy maintenance and flexible framework for requirement specification.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.171-182
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• 2017

Most people seek a happy life and happiness positively affects sentiment, satisfaction with life, creativity, human relationship, business productivity, and even health and life extension. However, according to a survey in 2013, subjective happiness of adolescents (including university students) was very low compared to other age groups in Korea. Therefore this paper examined the effects of job-seeking stress, appearance recognition, financial situation, trust in government, and locus of control on university students' happiness using SEM (structural equation modeling). 207 university students in Seoul, Korea have been surveyed. At first, an initial experimental SEM model among these variables has been set up and reliability analysis has been conducted. Then multiple regression analyses on job-seeking stress and happiness as well as SEM analysis have been conducted. As a result of these analyses, the SEM model has been revised two times. The final SEM model passed the goodness-of-fit test (using RMR, GFI, NFI, CFI, and IFI indices). The final SEM model showed the followings. First, Higher job-seeking stress (especially sentimental part, rather than environment or action related parts) negatively affects happiness. Second, Trust in government also affects happiness both directly and indirectly. Third, Locus of control is affected both by trust in government and financial situation. Fourth, appearance recognition heavily affects job-seeking stress. In addition, appearance importance is higher than appearance interest, meaning that students who are not very interested in appearance usually recognize the importance of appearance. Finally, happiness is affected neither financial situation nor appearance recognition. Therefore, even either they are in a poor financial situation or not happy with their appearance, they can be happy if they have firm locus of control.

• Journal of the Earthquake Engineering Society of Korea
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• v.21 no.5
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• pp.245-254
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• 2017

The building which are essential for disaster recovery is classified as a special seismic use group. Especially, achievement of seismic performance is very important for the hospital, so the hospital should be able to maintain its function during and right after an earthquake without significant damage on both structural and non-structural elements. Therefore, this study aimed at checking the seismic performance of a hospital building, but which was limited to structural elements. For the goal, a plan with a configuration of general hospitals in Korea was selected and designed by two different seismic-force-resisting systems. In analytical modeling, the shear behavior of the wall was represented by three inelastic properties as well as elastic. Nonlinear dynamic analyses were conducted to evaluate the performance of structural members. The result showed that the performance of shear walls in the hospital buildings was not satisfied regardless of the seismic-force-resisting systems, while the demands on the beams and columns did not exceed the capacities. This is the result of only considering the shear of the wall as the force-controlled action. When the shear of the wall was modeled as inelastic, the walls were yielded in shear, and as the result, the demands for frames were increased. However, the increase did not exceed the capacities of the frames members. Consequently, since the performance of walls is significant to determine the seismic performance of a hospital building, it will be essential to establish a definite method of modeling shear behavior of walls and judging their performance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.5
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• pp.897-905
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• 2007

In this paper, we present a new framework and synchronization mechanism to effectively support developing real-time communication service by using a real-time object model named TMO (Time-Triggered Message-Triggered Object). Also, we describes the application environment as the DHS(distributed high-precision simulation) to guarantee real-time service message with TMO structure in distributed network systems. The TMO scheme is aimed for enabling a great reduction of the designer's effort in guaranteeing timely real-time communication service capabilities of among distributed multi-nodes systems. Our real-time framework provide the consistent construction and configuration of tine-triggered processing components across heterogeneous distributed object environment more easily. It has been formulated from the beginning with the objective of enabling design-time guaranteeing of timely action. In the real time simulation techniques based on TMO object modeling, we have observed several advantages to the TMO structuring scheme. TMO object modeling has a strong traceability between requirement specification and design.

• Wind and Structures
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• v.11 no.1
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• pp.35-50
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• 2008

Wind and temperature have been shown to be the critical sources causing changes in the modal properties of large-scale bridges. While the individual effects of wind and temperature on modal variability have been widely studied, the investigation about the effects of multiple environmental factors on structural modal properties was scarcely reported. This paper addresses the modeling of the simultaneous effects of wind and temperature on the modal frequencies of an instrumented cable-stayed bridge. Making use of the long-term monitoring data from anemometers, temperature sensors and accelerometers, a neural network model is formulated to correlate the modal frequency of each vibration mode with wind speed and temperature simultaneously. Research efforts have been made on enhancing the prediction capability of the neural network model through optimal selection of the number of hidden nodes and an analysis of relative strength of effect (RSE) for input reconstruction. The generalization performance of the formulated model is verified with a set of new testing data that have not been used in formulating the model. It is shown that using the significant components of wind speeds and temperatures rather than the whole measurement components as input to neural network can enhance the prediction capability. For the fundamental mode of the bridge investigated, wind and temperature together apply an overall negative action on the modal frequency, and the change in wind condition contributes less to the modal variability than the change in temperature.

• Journal of the Korea Institute of Military Science and Technology
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• v.22 no.1
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• pp.20-26
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• 2019

In this paper, we propose measurement based numerical resistivity model for low energy exploding foil initiator (LEEFI) of electronic safety and arming device(ESAD). A resistivity model describes a behavior of variable resistance in LEEFI by firing current. The previous resistivity model was based on high energy detonator applications as explosive bridge wire and exploding foil initiator. Therefore, to estimate the voltage, current, and burst time of LEEFI, a resistivity model suitable for LEEFI is needed. For the modeling of resistivity of LEEFI, we propose a specific action based equation which represents a behavior of LEEFI when firing current is applied. To verify the proposed model, we analyze a firing current transmission path to obtain parasitic impedance. We experimentally verify that the proposed resistivity model offers precise estimation for the behavior of variable resistance in LEEFI.