• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.3
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• pp.367-374
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• 2009

Every year there are great socio-economic loss and damage caused by landslides in steep slopes. According to recent statistics, the percentage of casualty due to breakdown in steep slopes was 27.3% of all natural disasters occurring over the past decade($1998{\sim}2007$). Therefore, the nationwide scale survey on the landslide susceptibility was made to recognize the status quo for appropriate troubleshooting measure against the collapse of steep slopes. Nevertheless, few dent that the data collected is not sufficient to grasp the overall understanding of the onsite situation due to lack of spatial information. As a result, the study aims to develop a program enabling to send on site topological data and prefixed data-gather criteria directly to the central management server in real-time basis. It will be conducted through mobile devices and portable GPS system, accordingly. This program is expected to be implemented as an efficient application tool of slope spatial information acquisition.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.1
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• pp.18-33
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• 2018

A new eddy covariance-based flux tower has been established since June 2016 in a dry direct-seeding rice paddy field in southwestern Korea - Haenam Paddy field KoFlux site (HPK). To assess the competitiveness of direct-seeding agricultural technique in the context of climate-smart agriculture, we have been monitoring the $CO_2$, $CH_4$ and energy fluxes continuously. In this communication, we (1) introduce the HPK site and (2) explain the structure and processes of the HPK-specific data processing and quality control. The latter consists of 10-steps data processing and quality control procedures following the KoFlux standardized protocol and explained each step in layman's term. The final data produced during the data processing were stored in NCAM-DAPS (National Center for AgroMeteorology-Data Acquisition and Processing System, http://daps.ncam.kr). We hope that the introduction of new HPK KoFlux site would serve as a platform to facilitate transdisciplinary efforts in the research and education associated with climate-smart agriculture toward sustainability.

• Journal of Korean Academy of Nursing
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• v.30 no.5
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• pp.1265-1278
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• 2000

This study was carried out to assess the perception of decisional balance of Korean subjects about 4 health behaviors and to identify the influencing factor of decisional balance for exercise acquisition, smoking cessation, mammography screening and Kegel's exercise acquisition. All are representative health behaviors nurses can intervene in Korea based on the Transtheoretical model. Convenient samples of 2,484 subjects (191; exercise, 169; smoking cessation, 1903; mammography screening and 221; Kegel's exercise) were selected from cities and counties over 9 provinces throughout Korea, and the data was collected from January 1, 1999 to February 29, 2000. The research instrument were the Decisional Balance Measure for Exercise (Marcus & Owen., 1992), Smoking Cessation (Velicer et al., 1985), Mammography Screening (Rakowski et al.,1992) and Kegel Exercise (Lim, 1999) and Stage of Change Measure for Exercise (Marcus et al, 1992), Smoking Cessation (DiClemente et al., 1991), Mammography Screening (Rakowski et al.,1992) and Kegel's Exercise (Lim, 1999). The data was analyzed by the SAS Program. The results are as follows; 1. According to the stage of change measure, 2,484 subjects were distributed in each stage of change for four health behaviors: 1,233 subjects (49.8%), 745 subjects (30.2%), 113 subjects (4.7%), 156 subjects (6.5%), and 216 (8.7%) belonged to the pre- contemplation stage, contemplation stage, preparation stage, action stage and maintenance stage. They were all series of stages of change in their efforts to do health behavior. 2. Factor analysis identified 3 factors (1 of Pros, 2 of Cons) for the exercise, 4 factors for smoking cessation (2 of Pros, 2 of Cons), 2 factors (1 of Pros, 1 of Cons) for the mammogram screening and 2 factors (1 of Pros, 1 of Cons) for Kegel's exercise of decisional balance. 3. The analysis of variance and multiple comparison analysis showed that for all 4 samples, the Cons of changing the problem behaviors outweighed the Pros for subjects who were in the pre- contemplation stage, The opposite was true for subjects in action and maintenance stage. 4. Through the discriminant analysis, it was found that one factor of Pros for exercise, one factor of Cons for smoking cessation, 1 factor of Cons for mammogram screening and one factor of Cons for Kegel's exercise were the more influencing factors, than others in discriminating the stages of change. Results are consistent with the applications of the Transtheoretical model, which have been used to understand how people change health behaviors. This results provide some evidence that subject's report of his/her health behavior corresponds to beliefs about usefulness of related health behaviors. The results of this study have implications for patients' health education and health intervention strategies. The findings of this study give useful information for nursing educators for 4 health behaviors, especially the factors relating to decision making in the different stages of change.

• Journal of Biomedical Engineering Research
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• v.31 no.3
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• pp.177-186
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• 2010

In 3D ultrasound color Doppler imaging (CDI), 8-16 pulse transmissions (ensembles) per each scanline are used for effective clutter rejection and flow estimation, but it yields a low volume acquisition rate. In this paper, we have evaluated three flow estimation methods: autoregression (AR), eigendecomposition (ED), and autocorrelation combined with adaptive clutter rejection (AC-ACR) for a small ensemble size (E=4). The performance of AR, ED and AC-ACR methods was compared using 2D and 3D in vivo data acquired under different clutter conditions (common carotid artery, kidney and liver). To evaluate the effectiveness of three methods, receiver operating characteristic (ROC) curves were generated. For 2D kidney in vivo data, the AC-ACR method outperforms the AR and ED methods in terms of the area under the ROC curve (AUC) (0.852 vs. 0.793 and 0.813, respectively). Similarly, the AC-ACR method shows higher AUC values for 2D liver in vivo data compared to the AR and ED methods (0.855 vs. 0.807 and 0.823, respectively). For the common carotid artery data, the AR provides higher AUC values, but it suffers from biased estimates. For 3D in vivo data acquired from a kidney transplant patient, the AC-ACR with E=4 provides an AUC value of 0.799. These in vivo experiment results indicate that the AC-ACR method can provide more robust flow estimates compared to the AR and ED methods with a small ensemble size.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.177-179
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• 2000

In this paper, we developed the online Monitoring & Diagnostic(MD) system of distribution transformers. It consists of the Data Acquisition(DA) module and the DataBase(DB) module. The acquired data from the distribution transformers is stored to the DB in an on-line. The DB is planned and made to the RDBMS (Relative DataBase Management System) to manage the data efficiently. The developed MD system estimates the loss of life from the DB. Thus, it could be managed the career and the functional lifetime of the transformer more efficiently than existing systems. In the case study, the oil temperature rising experiment is performed by using the back loading method in the laboratory level. From the results, the proposed MB system can be a practical applications for the distribution transformers.

• Journal of Korean Society on Water Environment
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• v.21 no.1
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• pp.21-28
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• 2005

The training and prediction modeling using an artificial neural network was implemented to predict the turbidity of treated water as well as to estimate the optimized feed concentration of polyaluminium chloride (PACl) in a water treatment plant. The parameters used in the input layers were pH, temperature, turbidity and alkalinity, while those in output layers were PACl and turbidity of treated water. Levenberg-Marquadt method of feedforward back-propagation perceptron in the neural network toolbox of MATLAB program was used in this study. Correlation coefficients of the training data with the measured data were 0.9997 for PACl and 0.6850 for turbidity and those of the testing data with measured data were 0.9140 for PACl and 0.3828 for turbidity, when four parameters at input layer, 12-12 nodes each at both the first and the second hidden layers, and two parameters(PACl and turbidity) at output layer were used. Although the predictability of PACl was improved, compared to that of the previous studies to use the only coagulant dose as output layer, turbidity in treated water could not be predicted well. Acquisition of more data through several years obtained with the advanced on-line measuring system could make the artificial neural network useful and practical in actual water treatment plants.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.71-77
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• 2015

This paper suggested dynamic application framework based data collecting and monitoring technique using wireless sensor network. The development of application for wireless measurement node firmware program integrates with various sensors and performs control. Collecting data of the user application is downloaded from the node onboard process wirelessly. In addition, the user application can change the temperature initial value of the nodes, which enables dynamic sampling of the measurement nodes. Therefore, dynamic sampling control of the nodes can reduce the power consumptions of sensors compared to existing wired data monitoring.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.271-274
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• 2019

In this paper, we proposed a detailed address acquisition scheme for automatically collecting data of a web page in a frame that is difficult to access by a general web access method. Using the Python language and the Beautiful Soup library, which can utilize the proposed address resolution technique and the HTML selector, we were able to automatically collect all the bulletin board text data written in several pages. By using the proposed method, we can collect large amount of data automatically by Python web scraping program for web pages of any form of address, and we expect that it can be used for big data analysis.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.4
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• pp.195-211
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• 2019

In this paper, Capstone Design Education Program Learning Model was developed and recommended in order to foster convergent talents armed with practical competences and real cooperative capabilities. In this era of convergence and creativity, the fashion world needs human resources with cooperative skills and true professional abilities. A case analysis, an in-depth interview, and 1,2 test method were used for data acquisition and analysis. The summary of this study is described below. First, this program needs to complement the NCS fashion design learning module. Second, material changes to creativity and practical competencies - knowledge, skills, and attitudes - of the students are assessed after applying Capstone Design to the NCS fashion design learning model. Third, the process of converging fashion curriculum with IT and electronic technology, developing a fashion design learning program, and applying the Capstone Design was tested to prove the effectiveness of convergent fashion design education. Among the changes observed between the trial and control groups, it was confirmed that sub-factors of creative personality, i.e. self-assurance and openness, were increased along with knowledge, core competences including communication capability, and self-directed learning capability. The greatest improvement on the technological side was observed in IT literacy while ability to respond to changes was also increased. Besides, effects were demonstrated in behavioral factors such as initiative, spirit of challenge, experience, and openness. Lastly, the Capstone Design Education Program Learning Model was proposed in order to foster convergent talents in the fashion world.

• Korean Public Health Research
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• v.44 no.4
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• pp.1-13
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• 2018

Purpose : The purpose of this study was to explore the subjective experiences of problem drinkers participating in the early intervention program for moderate alcohol drinking. Methods : A qualitative descriptive study design was used. Data were collected through individual interviews with thirteen problem drinkers and analyzed using qualitative content analysis. Results : The experiences of the problem drinkers participating in the early intervention program were derived from four themes and nine sub-themes in terms of awareness, alcohol expectancies, perceived self-efficacy and behavioral change. They participated in programs offered in the workplace, and there were differences in motivation level among individuals, but generally accepted the necessity of the program. Participants who had trust with the program provider were more likely to change drinking behavior. Conclusion : Problem drinkers who participated in the early intervention program showed that it is a useful approach to change the problem drinking behavior by promoting awareness of alcohol-related knowledge, motivation for change through acquiring enough information and acquisition of self-efficacy as a behavior skill. These findings can be used as basic information for implementing and adapting early intervention for prevention of alcoholism in primary health care setting including workplace.