• Journal of Korean Academy of Nursing
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• v.32 no.2
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• pp.243-253
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• 2002

The purpose of this study was to develop Nurse's Suffering Experience Scale and to test the reliability and validity of the instrument. Method: The subjects used to verify the scale's reliability and validity were 220 nurses who were taking care of the end stage cancer patients, while working at university and general hospitals in Daegu and Kyungbuk province from April 20. to July 10, 2001. The data was analyzed by the SPSS/WIN 8.0 program. Results: A factor analysis was conducted, and items that had a factor loading more than .40, and an eigen value more than 1.0. were selected. The factor analysis classified a total of seven factors statistically, and it's communality was 44%. The explanation of factors based on the conceptual framework and item content are as follows: The first factor was expanding self consciousness, the second factor was forming empathy with family, the third factor was professional challenge, the fourth factor was change of values, the fifth factor was spiritual sublimation, the sixth factor was helplessness, and finally the seventh factor was rejection to death. Cronbach's coefficient to test reliability of the scale was .8665 for total of 44 items. The Scale for Nurse's Suffering Experience developed in the study was identified as a tool with a high degree of reliability and validity. Therefore this scale can be effectively utilized for the evaluation of the degree of nurse's suffering experience in clinical settings.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.964-973
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• 2004

Purpose: This study was aimed to identify the major factors affecting performance in health promoting behaviors in women workers at small-scale industries. Method: This study was based on the Pender's Health Promotion Model. The subjects for this study were 251 women workers at 23 small-scale industries in Busan city. The data for this study was collected from July 15th to August 15th 2003 by structured questionaries, and were analyzed with ANOVA, t-test, Pearson' correlation coefficient, and multiple Regression in the SPSS/WIN 10.0. Result: The mean performance of the health promoting behavior was 2.56. The factors related to the performance of the health promoting behaviors were social support, marital status, status of owning a house, perceived barriers to action, working time, and self-efficacy, and they explained 58.4% of the variance of the health promoting behaviors. Conclusion: The mean performance of the health promoting behavior seemed to be low, and the most important variable related to health promoting behaviorsof women working at a small-scale industry was social support. Therefore, intervention programs to increase the social support for women worker need to be developed.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.3
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• pp.493-498
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• 2017

Recently, traffic data is analyzed for efficiency of bus operation, D2D(: Door to Door) service, and self-driving of public transportation. However, various studies have been carried out to predict the delay time of public transportation, especially buses, but the research to date has been insufficient due to limitations of simple analysis and data acquisition. In this study, delay time estimation is performed by collecting and processing data such as day of the week, weather, and time of day based on bus operation information. The proposed method in this paper can be applied to autonomous public transport and public traffic control system by improving the accuracy by adding variables in the future.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1282-1290
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• 2017

Since the mitigation of fear of crime significantly enhances the consumptions in a city, studies focusing on urban safety analysis have received much attention as means of revitalizing the local economy. In addition, with the development of computer vision and machine learning technologies, efficient and automated analysis methods have been developed. Previous studies have used global features to predict the safety of cities, yet this method has limited ability in accurately predicting abstract information such as safety assessments. Therefore we used a Convolutional Context Neural Network (CCNN) that considered "context" as a decision criterion to accurately predict safety of cities. CCNN model is constructed by combining a stacked auto encoder with a fully connected network to find the context and use it in the CNN model to predict the score. We analyzed the RMSE and correlation of SVR, Alexnet, and Sharing models to compare with the performance of CCNN model. Our results indicate that our model has much better RMSE and Pearson/Spearman correlation coefficient.

• Journal of The Korean Society of Integrative Medicine
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• v.5 no.4
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• pp.67-76
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• 2017

Purpose : The purpose of this study was to understand the correlations between life stress, sleep quality, and mental health in nursing college students. Method : This study was conducted on 315 nursing college students in B City between April 1stand30th, 2017. The collected data were processed using SPSS 22.0 and were analyzed using means, standard deviations, t-tests, an ANOVA, Scheffe's test, and Pearson's correlation coefficient. Results : Nursing college students showed means of $2.36{\pm}0.54$ points in life stress, $1.03{\pm}0.41$ points in sleep quality, and $2.95{\pm}0.57$ points in mental health. The analysis of correlations between life stress, sleep quality, and mental health in nursing college students showed a statistically significant positive correlation between life stress and sleep quality (r = .432, p < .001). In addition, statistically significant negative correlations were found between life stress and mental health (r = -.589, p < .001) as well as between mental health and sleep quality (r = -.301, p < .001). Discussion : Replication studies with larger numbers of subjects are required. Based on the present study, systematic studies on factors affecting life stress, sleep quality, and mental health are also necessary. Moreover, programs should be developed to reduce life stress as well as improve sleep quality and mental health.

• Journal of Electrical Engineering and Technology
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• v.12 no.2
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• pp.621-631
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• 2017

In this paper, we study the various impacts of connecting distributed generation (DG) to the distribution network. The comprehensive evaluation index system (CEIS) of four hierarchies is established, considering economy, reliability and voltage quality, and the calculation methods of different indexes are presented. This paper puts forward an improved triangular fuzzy number analytic hierarchy process (ITFNAHP) to weight the second level indexes (SLI) and the third level indexes (TLI), and calculates the variation coefficient to weight the fourth level indexes (FLI). We calculate the comprehensive weight coefficients based on the weight coefficients of the SLI, TLI and FLI, and then calculate the comprehensive evaluation of satisfaction (CES) of different access schemes. On the basis of the IEEE 33-bus example system, simulations of the calculation methods and the comprehensive evaluation method are carried out under different DG access schemes according to the same total investment cost and the same permeability, respectively, and the simulation results are analyzed and discussed.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.27 no.12
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• pp.1667-1672
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• 2003

In contrast to the high demand for MEMS devices, microflow analysis is not feasible even for single-phase flow with conventional Navier-Stokes equation because of non-continuum effect when characteristic dimension is comparable with local mean free path. DSMC is one of particle based DNS(Direct Numerical Simulation) methods that uses no continuum assumption. In this paper, gas flow in microchannel is studied using DSMC. Interfacial shear and flow characteristics are observed and compared with the results of gas flow that is in contact with liquid case and solid wall case. The simulation is limited to the case of equilibrium steady state and evaporation/condensation coefficient is assumed to be the same and unity. System temperature remains constant and the interfacial shear appears to be small compared to the result with solid wall. This is because particles evaporated and reflected from the liquid surface form high density layer near the interface with liquid flow.

• Journal of Korean Academy of Nursing
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• v.31 no.3
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• pp.369-379
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• 2001

Purpose: The purpose of this study was to develop the Nurse Presence Scale and to test the reliability and validity of the instrument. Method: The subjects verifying the scale's reliability and validity were adult patients being treated in three artificial kidney unit in Pusan and Taegu from August 1 to October 15, 2000. The data was analyzed by the SPSS/WIN 8.0 program. Result: A factor analysis and was conducted items that had a factor loading more than .40, and an eigen value more than 1.0 were seleclted. The factor analysis classified a total of seven factors statistically, but the seventh factor was excluded because community was less than 4%. Therefore, there were six factors, and its communality was 62%. The explanation of domain and factors based on the conceptual framework and item content are as follows: The first factor was 'interaction' in emotional areas, the second domain was 'empathy' in cognitive areas, the third was 'attention' in emotional areas, the fourth was 'openness' in emotional areas, the fifth was 'sensitivity' in behavioral areas, and the sixth was 'physical assist' in behavioral areas. Cronbach's α coefficient to test reliability of the scale was .9766 for a total 49 items. Conclusion: The Scale for Nurse Presence developed in the study was identified as a tool with a high degree of reliability and validity. Therefore, this scale can be effectively utilized for the evaluation of nurse presence in clinical settings.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.178-180
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• 2004

In this work, we propose new method of sigma filtering for efficient filtering and preserving edge regions in DCT Domain. In block-based image compression technique, the image is first divided into non-overlapping $8{\times}8$ blocks. Then, the two-dimensional DCT is computed for each $8{\times}8$ block. Once the DCT coefficients are obtained, they are quantized using a specific quantization table. Quantization of the DCT coefficients is a lossy process, and in this step, noise is added. In this work, we combine IDCT matrix and filter matrix to a new matrix to simplify filtering process to remove noise after IDCT in spatial domain, for each $8{\times}8$ DCT coefficient block, we determine whether this block is edge or homogeneous region. If this block is edge region, we divide this $8{\times}8$ block into four $4{\times}4$ sub-blocks, and do filtering process for sub-blocks which is homogeneous region. By this process, we can remove blocking artifacts efficiently preserving edge regions at the same time.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.3-5
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• 2004

Cleft lip is one of the most common congenital deformities in craniofacial region. Despite the many reports on the outcome of various surgical techniques from individual medical centers, the evaluation of the outcome is based on the subjective observation because of lack of the objective evaluation system. Therefore, a new technique of objective and scientific evaluation for the nasal deformity of secondary cleft lip and nose deformity is critical to improve the management of the cleft patients including the decision of optimal age of operation and surgical technique as veil as evaluation of the outcome. In this study, a new method was proposed to evaluate the nasal deformity using nostril angle, distance, and area of patient images. The images were also evaluated by three expert plastic surgeons, and put into scale of 5 percentile. Measurement results were compared between the each category and the surgeon's evaluation, and coefficients of each category were statistically tested. As a result, The normalized overlap area of right and left nostrils and distance ratio between two centers of nostrils showed high coefficient with evaluations of plastic surgeons.