• Journal of Soil and Groundwater Environment
• /
• v.13 no.5
• /
• pp.20-32
• /
• 2008

Runoff characteristics of the Oedocheon in Jeju island were investigated using the long-term stream stage monitoring data. At the Cheonah valley in the upstream area and Oedocheon downstream, annual runoff occurred 21 and 12 times, respectively, and their average runoff periods were 21 days and 12 days, respectively. Stream stage response time to rainfall was 4 hours, and storm-water transfer from the upstream, Cheonah valley, to the Oedocheon downstream took about 2 hours. The stream discharge measurements had been carried out from Feb. 2004 to Jul. 2005, and showed that normal discharge of the Oedocheon was 0.39 $m^3$/sec in average. Stage-discharge curves were developed to estimate base flow (normal discharge) and (direct) surface runoff. The base flow separations by a numerical filtering technique illustrated that annual surface runoff and base flow accounted respectively for 31.8${\sim}$36.5%, 63.5${\sim}$68.2% of the total stream discharge.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2003.05a
• /
• pp.229-233
• /
• 2003

The soundproof barrier used to reduce the traffic and rail noise is usually designed to the point of view of the acoustic performance such as absorption ratio and transmission loss. But, because the surface of soundproof barrier is polluted by the air pollutant or discharge gas of automobiles, so it's surface cleary maintained by the periodic washing with detergent. But in this case the environmental pollution and the working expenses are worried. So, the objective of this study is to develope the soundproof panel with the self-cleaning properties only by raining.

• Women's Health Nursing
• /
• v.4 no.1
• /
• pp.84-102
• /
• 1998

In this study the levels and influencing characteristics of maternal identity and self confidence for caring the baby were identified during the immediate postpartum period. 114 primiparous women who delivered vaginally normal baby participated in the survey from August 1 to October 31, 1996. SD scale was to measure maternal identity which consisted of 11 items for mother and 6 items for baby. Likert scale was to measure self confidence for caring the baby (38 items). Cronbach's alphas for evaluating internal consistency as follows : .86 for maternal identity and .96 for self confidence scale for caring the baby. The study showed these results : 1. Mean score of maternal identity(82.03 : 52.65 for mother, 29.38 for baby) was considered relatively low. 2. Mean score of self confidence for caring the baby(113.91) was considered relatively low. 3. There were significant influencing characteristics of primiparous to maternal identity : age(total ; F=3.53, p=.0329, for mother ; F=2.60, p=.0719, for baby ; F=3.12, p=.0481), prenatal infant care preparation(total ; t=2.31, p=.0306, for mother ; F=2.62, p=.0160), knowledge about infant care during the hospitalization(for baby ; F=3.94, p=.02222), colostrum feeding(total ; t=1.95, p=.0541, for baby ; t=2.71, p=.0080), frequency of breast feeding during the hospitalization(for baby ; F=3.91, p=.0228)and feeding type after discharge(for baby ; F=3.18, p=.0456). 4. There were significant influencing characteristics of primiparous to self confidence for caring the baby : routine husband support(F=6.09, p=.0031), prenatal infant care preparation(t=2.04, p=.0574), knowledge about infant care during the hospitalization(F=3.15, p=.0467), education of breast feeding during the hospitalization(t=-1.79, p=.0850). 5. Correlation between maternal identity and self confidence for caring the baby was r=.37608(p=.0001). This study implies that special education programs for primipara are needed. For the future, this study suggest that maternal role variables need to be monitored through the home visiting follow up. Also intervention programs related to prenatal care, discharge education, home visiting follow up need to be developed and then evaluated their effectiveness.

• Journal of Korean Neurosurgical Society
• /
• v.29 no.12
• /
• pp.1620-1627
• /
• 2000

Objectives : DAMA cases were analyzed to examine what the main casual factors of DAMA were and how to deal with these cases effectively in hospital with the DAMA interdisciplinary team including medical social worker whose role is to perform psycho-social assessment, family counsel, to evaluate family's DAMA need. Patients and Methods : The content analysis of medical record and social work record were reviewed in 37 cases referred by medical doctor to DAMA team. These cases were reported by patients' self discharge request or family's request for discharge from September 1998 to February 2000. The DAMA team consists of Assistant Director of Hospital as team leader, medical staff in-charge, social worker, QI nurse, other staff members who are not involved in direct treatment for patient, and administrative clerk. Results : The results of content analysis are as follows : 1) The most causal factors of DAMA consist of combination of more than 2 factors. 2) The major decision-maker is revealed to be son and daughter of patient. 3) In 59.4% of cases, family was not informed of patients' prognosis, alternatives, the consequence of DAMA at all. 4) In cases of DAMA report, the rapid intervention of social worker is carried out. Conclusion : In this study, we propose the interdisciplinary team approach to make decision legitimately and ethically for DAMA. The suggestions from this study are as follows : 1) To deal with DAMA case properly, the interdisciplinary team approach should be considered. 2) The criteria for DAMA case should be formed carefully. For the explicit selection of DAMA case, preliminary system for high-risk patient screening is recommended. 3) The medical social worker is available for the psycho-social problems of the patient once family members. For the effective family counselling, discharge planning and nursing home placement, the participation of medical social worker should be mandatory.

• Journal of the Semiconductor & Display Technology
• /
• v.2 no.1
• /
• pp.1-5
• /
• 2003

Plasma generator based on non-self-sustained low-pressure arc discharge has been examined as a tool for deposition of highly-adhesive hydrogenated amorphous diamond-like carbon(DLC) films. Since the discharge is stable in wide range of gas pressures and currents, this plasma source makes possible to realize both plasma-immersion ion implantation(PIII) and plasma-immersion ion deposition(PIID) in a unified vacuum cycle. The plasma parameters were measured as functions of discharge current. Discharge and substrate bias voltage parameters have been determined for the PIII and PIID modes. For PIID it has been demonstrated that hard and well-adherent DLC coating are produced at 200-500 eV energies per deposited carbon atom. The growth rates of DLC films in this case are about 200-300 nm/h. It was also shown that short(∼60$\mu\textrm{s}$) high-voltage(> 1kV) substrate bias pulses are the most favorable for achieving high hardness and good adhesion of DLC, as well as for reducing of residual intrinsic stress are.

• Korean Journal of Artificial Intelligence
• /
• v.8 no.1
• /
• pp.7-9
• /
• 2020

In this paper, a study was conducted to find a self-diagnosis method to prevent the spread of COVID-19 based on machine learning. COVID-19 is an infectious disease caused by a newly discovered coronavirus. According to WHO(World Health Organization)'s situation report published on May 18th, 2020, COVID-19 has already affected 4,600,000 cases and 310,000 deaths globally and still increasing. The most severe problem of COVID-19 virus is that it spreads primarily through droplets of saliva or discharge from the nose when an infected person coughs or sneezes, which occurs in everyday life. And also, at this time, there are no specific vaccines or treatments for COVID-19. Because of the secure diffusion method and the absence of a vaccine, it is essential to self-diagnose or do a self-diagnosis questionnaire whenever possible. But self-diagnosing has too many questions, and ambiguous standards also take time. Therefore, in this study, using SVM(Support Vector Machine), Decision Tree and correlation analysis found two vital factors to predict the infection of the COVID-19 virus with an accuracy of 80%. Applying the result proposed in this paper, people can self-diagnose quickly to prevent COVID-19 and further prevent the spread of COVID-19.

• Korean Journal of Adult Nursing
• /
• v.17 no.4
• /
• pp.646-655
• /
• 2005

Purpose: This study was conducted to examine the effects of the secondary stroke prevention education program to inhibit the recurrence of the acute ischemic stroke patients, and to maintain and promote knowledge about stroke, self-efficacy and self-care. Method: This study was designed to take a quasi-experimental pre- and post-test with the nonequivalent control group. The experimental group consists of 20 patients and control group consists of 20 patients. The experimental group was applied the secondary stroke prevention education program. In order to verify the effects of the secondary stroke prevention education program, knowledge about stroke, self-efficacy and self-care scale were measured before the intervention and 4 weeks, 12 weeks after discharge. The tools for measuring knowledge about stroke, self-efficacy and self-care are developed by the researcher. The data was analyzed by SPSS win 10.0 program using $x^2-test$, Fisher's Exact Test, t-test, Kolmogorov-Smirnov Z, and Repeated Measures ANOVA. Result: There was a statistically significant difference in knowledge about stroke (F=4.021, p=.026), self-efficacy(F=6.096, p=.018), and self-care(F=8.026, p=.007) between the experimental and the control group after intervention. Conclusion: It is considered that the program can be used as an effective nursing intervention in clinical practice.

• Proceedings of the KIEE Conference
• /
• 2004.07c
• /
• pp.1930-1932
• /
• 2004

SOM(Self Organizing Map) algorithm which has some advantages such as data accumulation ability and the degradation trend trace ability was compared with conventionally used BP(Back Propagation) algorithm. For the purpose, partial discharge data were acquired and analysed from the artificial defects in GIS. As a result, basically the pattern recognition rate of BP algorithm was found out to be better than that of SOM algorithm. However, SOM algorithm showed a great on-site-applicability such as ability of suggesting new-pattern-possibility. Therefore, through increasing pattern recognition rate it is possible to apply SOM algorithm to partial discharge analysis. Also, for the image processing method it is required the normalization of the PRPDA graph. However, due to the normalization both BP and SOM algorithm have shown worse results, so that it is required further study to solve the problem.

• The Transactions of The Korean Institute of Electrical Engineers
• /
• v.58 no.1
• /
• pp.126-131
• /
• 2009

This study was carried out for the reliability of PD(Partial Discharge) pattern recognition. For the pattern recognition, the database for PD was established by use of self-designed insulation defects which occur and were mostly critical in GIS(Gas Insulated Switchgear). The acquired database was analyzed to distinguish patterns by means of PRPD(Phase Resolved Partial Discharge) method and stored to the form with to unite the average amplitude of PD pulse and the number of PD pulse as the input data of neural network. In order to prove the performance of genetic algorithm combined with neural network, the neural networks with trial-and-error method and the neural network with genetic algorithm were trained by same training data and compared to the results of their pattern recognition rate. As a result, the recognition success rate of defects was 93.2% and the neural network train process by use of trial-and-error method was very time consuming. The recognition success rate of defects, on the other hand, was 100% by applying the genetic algorithm at neural network and it took a relatively short time to find the best solution of parameters for optimization. Especially, it could be possible that the scrupulous parameters were obtained by genetic algorithm.

• Journal of the Korean institute of surface engineering
• /
• v.30 no.4
• /
• pp.262-271
• /
• 1997

Nickel-matal hydride(Ni-MH) batteries are receiving attention as non-pollunting. high performance rehargeable energy stoage system. The performance of Ni-Mh is significantly influenced by the hydrogen storage alloy materiels used as an anode material. Recently, having discharge capacities higher than the $AB_5$-type hydrogen storage alloys, the Zr-based $AB_2$-Type hydrogen storage alloys has remaining problems regarding cycle life and self-dischareg. These problems need to be solved by improvements in the alloy design and/or surface treatment. This work investiggates the effects the effects of surface property by fluorination on $Zr_{0.7}Ti_{0.3}V_{0.4}Mn_{0.4}Ni{1.2}$ composittion $AB_2$-Type hydrogen storage alloys. EPMA, SEM and AES techniques were used for surface analysis, and the crystal structure was characterized by constant current cycling test and potential sweep methods. Fluorination was found to be effective when La-was incorporated into the alloy, and has unique morphology, higher reactivity, and at the same time formed a protective film. Through, fluorination, the cycle life of an electrode was found to increase significantly, charge/discharge characteristics of the electrode the potential difference between the charge/discharge plateau, i.e polarization(overpotential)were improved.