• 통상정보연구
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• 제10권4호
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• pp.81-96
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• 2008

uEFL is an open source solution to integrate general business/learning activities and processes. uEFL is originally developed to adopt LD (Learning Design) specification, which represents learning as various combination of learning activities with learning conditions and outcomes. Learning activities are described with participant's role, learning environment, and contextual sequence. This viewpoint resembles BPM (Business Process Modeling). uEFL can convert LD to BPM description. uEFL engine can run converted LD activity with other business activities. This paper presents 4 templates and 2 sample models for uEFL. The templates and models will show how learning activities can be integrated with business activities efficiently.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 춘계학술대회 논문집
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• pp.603-604
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• 2006

The worker who is responsible for Airless Pump maintenance have a high possibility to suffer from WMSDs, because a height of Airless Pump workbench is too low. In this paper, I'm going to introduce a research about 1) analysis of working environment through a interview with an actual field worker, 2) Ergonomic simulation modeling of an Ariless Pump worker to suggest a advanced working environment and a working instructions. I have used a DELMIA S/W as a tool for ergonomic simulation and performed a posture & activity to analyze a RULA methodology. Applying the Digital Human Simulation to analyze working posture would be helpful to preventing WMSDs.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권9호
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• pp.560-567
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• 2003

EMG recordings of the electrical activity of muscle have proved to be a valuable tool in studying muscle function and reflex activity. SP(silent period) is elicited by a electrical stimulation on the chin during isometric contraction of jaw muscle. This paper proposes a model of the inhibitory reflex mechanism of jaw muscle after electrical stimulation. The SPs of jaw muscle after a electrical stimulation to the chin were divided into SP1 and SP2. SP1 is produced by the activation of periodontal receptors. The activation of nociceptors contributes to the SP2. As a result, the EMG signal generated by a proposed a model of inhibitory reflex mechanism is similar to real both EMG signal including SP1 and SP2. The present study have shown differences of SP1 and SP2 induced by inhibitory reflex mechanism.

• 통합자연과학논문집
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• 제4권4호
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• pp.266-272
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• 2011

Focal adhesion kinase (FAK) is a potential target for the treatment of primary cancers as well as prevention of tumor metastasis. To understand the structural and chemical features of FAK inhibitors, we report comparative molecular field analysis (CoMFA) for the series of 7H-pyrrolo(2,3-d)pyrimidines. The CoMFA models showed good correlation between the actual and predicted values for training set molecules. Our results indicated the ligand-based alignment has produced better statistical results for CoMFA ($q^2$ = 0.505, $r^2$ = 0.950). Both models were validated using test set compounds, and gave good predictive values of 0.537. The statistical parameters from the generated 3D-QSAR models were indicated that the data are well fitted and have high predictive ability. The contour map from 3D-QSAR models explains nicely the structure-activity relationships of FAK inhibitors and our results would give proper guidelines to further enhance the activity of novel inhibitors.

• Preventive Nutrition and Food Science
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• 제8권4호
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• pp.419-424
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• 2003

The physical properties of food playa significant role in the modeling and computation of the heat and mass transfers in basic food processing operations. With the advent of improved analytical techniques, statistical experiment design applications, computing ability and knowledge of the food physical properties of food, there have been significant advances in our ability to predict the impact of processing on the physical properties of food. This article briefly reviews our current ability to predict the influence of processing on the physical properties of food, such as water activity, moisture, color, and rheological characteristics.

• 제어로봇시스템학회논문지
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• 제13권6호
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• pp.542-546
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• 2007

In the vision of ubiquitous computing environment, smart objects would communicate each other and provide many kinds of information about user and their surroundings in the home. This information enables smart objects to recognize context and to provide active and convenient services to the customers. However in most cases, context-aware services are available only with expert systems. In this paper, we present generalized activity recognition application in the smart home based on a naive Bayesian network(BN) and fuzzy clustering. We quantize continuous sensor data with fuzzy c-means clustering to simplify and reduce BN's conditional probability table size. And we apply mutual information to learn the BN structure efficiently. We show that this system can recognize user activities about 80% accuracy in the web based virtual smart home.

• Bulletin of the Korean Chemical Society
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• 제34권2호
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• pp.437-442
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• 2013

A new series of 4-(2-(substituted)pyridin-4-yl)-3-(3-methoxy-5-methylphenyl)-1H-pyrazoles (4a-f) and their 1,2-isoxazole analogues (5a-f) has been rationally designed, synthesized and screened against both ROS and MAPK14 kinases. Compounds 4b, 4c and 4e showed moderate inhibitions against both ROS and MAPK14 kinases. Compound 4e has showed the strongest inhibitions with IC50 values of 1.25 ${\mu}M$ and 3.00 ${\mu}M$ against ROS and MAPK14 kinases, respectively. A brief structure-activity relationship study and a molecular modeling study were made revealing a group of essential structural features for good kinase inhibitory activity within this new class of kinase inhibitors.

• Journal of Microbiology and Biotechnology
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• 제18권5호
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• pp.889-896
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• 2008

A suitable simple model tested by experiments is required to address complex biological reactions like esterase synthesis by Saccharomyces cerevisiae. Such an approach might be the answer to a proper bioprocessing strategy. In this regard, a logistic model for esterase production from Saccharomyces cerevisiae has been developed, which predicts well the cell mass, the carbon source (glucose) consumption, and the esterase activity. The accuracy of the model has been statistically examined by using the Student's t-test. The parameter sensitivity analysis showed that all five parameters (${\mu}_m$, $K_a$, $X_m$, $Y_{x/s}$, and $Y_{p/x}$) have significant influence on the predicted values of esterase activity.

• International Journal of Computer Science & Network Security
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• 제22권1호
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• pp.312-318
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• 2022

The article notes that one of the reasons for the crisis in education was the sharp discrepancy between the emerging new forms and content and the model of macro-management that has developed over the decades. The level of management of the educational system did not emerge as a specific activity characterized by its own mechanisms and processes, just as qualified carriers of this activity - professionals - managers - did not appear. At the same time, there is practically no theoretical and methodological model of the macrolevel of education management, that is, management of the educational system as an integral structure.

• 시스템엔지니어링학술지
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• 제17권2호
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• pp.98-105
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• 2021

As the average life expectancy is rising, the population is aging and the number of chronic diseases is increasing. This has increased the importance of healthy life and health management, and interest in mobile health services is on the rise thanks to the development of ICT(Information and communication technologies) and the smartphone use expansion. In order to meet these interests, many mobile services related to daily health are being launched in the market. Therefore, in this study, the characteristics of users who actually use mobile health services were analyzed and a predictive model applied with machine learning modeling was developed. As a result of the study, we developed a prediction model to which the decision tree and ensemble methods were applied. And it was found that the mobile health service users' continued use can be induced by providing features that require frequent visit, suggesting achievable activity missions, and guiding the sensor connection for user's activity measurement.