• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.10 no.4
• /
• pp.24-35
• /
• 2011

This paper demonstrates a methodology of integrated operation and management system for intermodal connectivity center (ICC), which is planning to be build up as a large scale public transit facilities for green growth strategy by the national government. The ICC needs to be capable of providing the integrated location based information for the public transit users in terms of collaborating a variety of transit modes and complex facility in a large scale center. Recently, the upcoming information and communication technologies enable to come up with real time information provision on nomadic and portable devices, i.e. smart phones and/or tablet PCs, as what the users actually need to get on demand. In order to provide the public transit users in ICC with the integrated information on their smart phones for example, the integrated operation and management system plays a key role to collect the data utilizing the wireless communication with real time location tracking and to manage them to be effective and operational sources for applicable personalized services. Thus, this paper defines a type of services, subsystems, and relevant technologies for the system integration so called a "Smart Garatagi Service" and shows a filed test demonstration case in the existing airport terminal, Gimpo Domestic.

• Journal of Korean Academy of Nursing
• /
• v.24 no.1
• /
• pp.47-57
• /
• 1994

The purpose of this study was to examine nurses’ perceptions of medication treatment for psychiatric patients and to compare these perceptions with the perceptions held by the patients. The methodology used in this study was a descriptive design with semi-structured and open-ended interviews. This study used a convenience sample of 112 nurses who worked in, and 209 patients who were under psychiatric treatment, in four hospitals attached to a university and one national mental hospital in the city of Seoul. The collected data were analyzed by SAS, using percentages for descriptive purposes, and t-test or x$^2$ for comparing the variables. The results were as follows : 1. There was no significant differences between nurses’ and patients’ perceptions on the extent to which patients complied with their medication treatment. Generally speaking, the mean compliance scores for both nurses and patients was high(nurse : (equation omitted)=3.70, Patient : (equation omitted)=3.76). 2. There was a significant difference in nurses’ and patients’ perceptions on the reasons why patients do not take medication. The nurse group indicated that the patients did not take medication because of the “worry about side effects or habituation(49.53%)”, “boredom from long-term use of medication(26.17%)” and “distrust toward medical staff(12.15% )”, but the patient group indicated that they “did not want to be dependent on medication (25%)”, “forgot to take medication(19.7%) and “worried about side effects or habituation(15.91%). 3. As for the necessity of medication, both groups showed some different responses. Even though both groups were aware of the necessity of taking medication, the patient group(21.53%) showed a more negative response. As (or the effects of medication, both groups (nurses and patients ) showed positive responses. However, the nurse group showed a higher positive response (91.07% ) than the patient group(74.16%), 5. Both the patient and nurse group indicated that the most helpful element for the patient’s life under psychiatric treatment was interviews and conversations with therapists and nurses. However, the nurse group showed a higher response(70.15%) than the patients group(47.15%). According to the patient group, family support for the patient was another important factor for psychiatric treatment and daily struggles. In conclusion, as there were differences between the perception of nurses and patients, the nurse must consider the patients’ subjective perceptions first. They should also revaluate their false belief and prejudice concerning the patients’ perceptions. Such information can provide a base to be applied by the nurses in devloping effective mutual relationships with patients which can in turn help in compliance with medication regimen. As it was confirmed that medication was the most important factor in the patients’ recovery, a thorough education program on the therapeutic effect of medication and the necessity of their continued use after discharge is also needed.

• Tuberculosis and Respiratory Diseases
• /
• v.83 no.3
• /
• pp.228-233
• /
• 2020

Background: The Bronchiectasis Health Questionnaire (BHQ) is a simple and repeatable, self-reporting health status questionnaire for bronchiectasis. We have translated the original version of the BHQ into Korean using a standardized methodology. The purpose of this study was to assess the validity of the Korean version of the BHQ (K-BHQ) with Korean patients. Methods: Stable state patients with bronchiectasis from two academic hospitals were enrolled in this study. The validity was assessed by investigating the relationship between the K-BHQ scores and the Korean version of the Chronic Obstructive Pulmonary Disease Assessment Test (K-CAT) scores. We also investigated the relationship between the K-BHQ scores and other variables of the modified Medical Research Council's (mMRC) dyspnea scale, lung function, and exacerbations. Results: A total of 126 patients with bronchiectasis were enrolled. The mean age was 64.3 (standard deviation [SD], 9.7). Women comprised 53.2% of the patients. The mean forced expiratory volume in one second (FEV₁) was 60% of the predicted value (SD, 18.9%); the mean K-CAT score was 17.6 (SD, 9.1). The K-BHQ scores correlated strongly with the K-CAT scores (r=-0.656, p<0.001). There was significant correlation between the K-BHQ scores and the mMRC dyspnea scale (ρ=-0.409, p<0.001), FEV₁ (r=0.406, p<0.001), and number of exacerbations requiring hospitalization (ρ=-0.303, p=0.001). Conclusion: The K-BHQ is valid for assessing the health-related quality of life or health status of Korean bronchiectasis patients.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.37 no.1
• /
• pp.43-59
• /
• 2017

This study presents the prediction methodology of debris flow occurrence areas using the SINMAP model. Former studies used a single calibration region applying some of the soil test results to predict debris flow occurrence in SINMAP model, which couldn't subdivide the soil properties for the target areas. On the other hands, a multi-calibration region using a detailed soil map and soil strength parameters (c, ${\phi}$) for each soil series to make up for limitation of former studies is proposed. In this process, soils with soil erodibility factor (K) are classified into three types: 1) gravel and gravelly soil. 2) sand and sandy soil, and 3) silt and clay. In addition, T/R estimation method using mean elevation of target area instead of T/R method using actual occurrence time is suggested in this study. The suggested method is applied to Seobyeok-1 ri area, Bonghwa-gun where debris flow occurred. As a result of comparison between two T/R estimation method, both T/R estimations are almost equal. Therefore, the suggested methodologies in this study will contribute to set up the national-wide mitigation plan against debris flow occurrence.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.3
• /
• pp.64-77
• /
• 2015

An effective method for produce munitions effectiveness data is to calculate weapon effectiveness indices in the US military's Joint Munitions Effectiveness Manuals (JMEM) and take advantage of the damage evaluation model (GFSM) and weapon Effectiveness Evaluation Model (Matrix Evaluator). However, a study about the Range Safety that can be applied in the live firing exercises is very insufficient in the case of ROK military. The Range Safety program is an element of the US Army Safety Program, and is the program responsible for developing policies and guidance to ensure the safe operation of live-fire ranges. The methodology of Weapon Danger Zone (WDZ) program is based on a combination of weapon modeling/simulation data and actual impact data. Also, each WDZ incorporates a probability distribution function which provides the information necessary to perform a quantitative risk assessment to evaluate the relative risk of an identified profile. A study of method to establish for K-Range Safety data is to develop manuals (pamphlet) will be a standard to ensure the effective and safe fire training at the ROK military education and training and environmental conditions. For example, WDZs are generated with the WDZ tool as part of the RMTK (Range Managers Tool Kit) package. The WDZ tool is a Geographic Information System-based application that is available to operational planners and range safety manager of Army and Marine Corps in both desktop and web-based versions. K-Range Safety Program based on US data is reflected in the Korean terrain by operating environments and training doctrine etc, and the range safety data are made. Thus, verification process on modified variables data is required. K-Range Safety rather than being produced by a single program, is an package safety activities and measures through weapon danger zone tool, SRP (The Sustainable Range Program), manuals, doctrine, terrain, climate, military defence M&S, weapon system development/operational test evaluation and analysis to continuously improving range safety zone. Distribution of this K-range safety pamphlet is available to Army users in electronic media only and is intended for the standing army and army reserve. Also publication and distribution to authorized users for marine corps commands are indicated in the table of allowances for publications. Therefore, this study proposes an efficient K-Range Safety Manual producing to calculate the danger zones that can be applied to the ROK military's live fire training by introducing of US Army weapons danger zone program and Range Safety Manual

• Journal of the Korean Association of Geographic Information Studies
• /
• v.15 no.3
• /
• pp.52-65
• /
• 2012

The net biomass accumulation (or net primary production, NPP) and gross primary production (GPP) have closely related with carbon accumulations(or carbon exchange) in vegetation. There are many approaches to estimate biomass using remote sensing techniques. The vegetation indices (VIs) can be a methodology to estimate biomass which assumes total chlorophyll contents. Various VIs were characterized with difference development conditions as vegetation species, input datasets. The hyperspectral data have also different spatial/spectral resolutions for aerial surveying. Additionally they need particular spectral bands selection difficulty to calculate the VIs. The objective of this study is to evaluate the correlations with airborne hyperspectral data (compact airborne spectrographic imager, CASI) and spectral unmixing model (or spectral mixture analysis, SMA) to characterize vegetation indices in forest area. The spectral mixture analysis was used to model the spectral purity of each pixel as an endmember. The endmembers are the fraction components derived from hyperspectral data through the SMA. In this study, we choose three endmembers represented vegetation pixels in the hyperspectral data. These endmembers were compared with 9 VIs by the Pearson's correlation coefficient. The results show MTVI1 and TVI have same correlation coefficient with 0.877. The MCARI, especially has very high relationship with vegetation endmembers as 0.9061 at less vegetation and soil distributed site. The MTVI1 and TVI have high correlations with the vegetation endmembers as 0.757 in whole test sites.

• Management & Information Systems Review
• /
• v.35 no.4
• /
• pp.123-140
• /
• 2016

This study investigates whether tax subsidy is associated with the information effect of future earnings (Future Earnings Response Coefficient, hereafter 'FERC'). Prior studies related with tax subsidy suggest that high- tax subsidy is associated with high-Conservatism. And high-tax subsidy is associated with low-information asymmetry. The hypothesis is tested by using sample firms listed on the Korean Stock Exchange from the year of 2002 to the year of 2009 inclusively. We followed methodology of Tucker and Zarowin (2006). We find that the regression coefficient for tax $subsidy{\times}X_{t3}$ shows a significant positive sign. Also, we performed additional test after controlling for variables related with FERC. The regression coefficient for tax $subsidy{\times}X_{t3}$ is consistent with main results. This result means that the changes in the current stock price of higher-tax subsidy contain more information about their future earnings than the changes in the stock price of lower-abnormal audit hours. The evidence suggests that investors positively understand high-tax subsidy.

• Korean Journal of Food Science and Technology
• /
• v.37 no.4
• /
• pp.537-541
• /
• 2005

Estimation of concentrations of PAHs [benzo(a)anthracene, chrysene, benzo(b)fluoranthene, benzo(k)fluoranthene, benzo(a)pyrene, dibenzo(a,h)anthracene, benzo(g,h,i)perylene, indeno(1,2,3-c,d)pyrene] in cereals, pulses, potatoes, and their products available in Korean markets gave mean levels of 0.13, 0.08, 0.06, 0.03, 0.08, 0.15, 0.45, and $0.14{\mu}g/kg$, respectively, with recoveries between 82.6-106.6%. Methodology involved saponification and extraction with n-hexane, purification on Sep-Pak Florisil cartridges, and high performance liquid chromatography using a fluorescence detector.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.21 no.4
• /
• pp.301-308
• /
• 2003

This study describes the methodology that improves the accuracy of the 3D object-space data extracted from IKONOS satellite images by improving the accuracy of a RPC(Rational Polynomial Coefficient) model. For this purpose, we developed the algorithm to adjust a RPC model, and could improve the accuracy of a RPC model with this algorithm and geographically well-distributed GCPs(Ground Control Points). Furthermore, when a RPC model was adjusted with this algorithm, the effects of geographic distribution and the number of GCPs on the accuracy of the adjusted RPC model was tested. The results showed that the accuracy of the adjusted RPC model is affected more by the distribution of GCPs than by the number of GCPs. On the basis of this result, the algorithm using pseudo_GCPs was developed to improve the accuracy of a RPC model in case the distribution of GCPs was poor and the number of GCPs was not enough to adjust the RPC model. So, even if poorly distributed GCPs were used, the geographically adjusted RPC model could be obtained by using pseudo_GCPs. The less the pseudo_GCPs were used -that is, GCPs were more weighted than pseudo_GCPs in the observation matrix-, the more accurate the adjusted RPC model could be obtained, Finally, to test the validity of these algorithms developed in this study, we extracted 3D object-space coordinates using RPC models adjusted with these algorithms and a stereo pair of IKONOS satellite images, and tested the accuracy of these. The results showed that 3D object-space coordinates extracted from the adjusted RPC models was more accurate than those extracted from original RPC models. This result proves the effectiveness of the algorithms developed in this study.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.27 no.2
• /
• pp.289-297
• /
• 2009

In the paper, we propose the methodology to extract training dataset automatically for supervised classification of road networks. For the preprocessing, we co-register the airborne photos, LIDAR data and large-scale digital maps and then, create orthophotos and intensity images. By overlaying the large-scale digital maps onto generated images, we can extract the initial training dataset for the supervised classification of road networks. However, the initial training information is distorted because there are errors propagated from registration process and, also, there are generally various objects in the road networks such as asphalt, road marks, vegetation, cars and so on. As such, to generate the training information only for the road surface, we apply the Expectation Maximization technique and finally, extract the training dataset of the road surface. For the accuracy test, we compare the training dataset with manually extracted ones. Through the statistical tests, we can identify that the developed method is valid.