• Journal of the Korean Society of Propulsion Engineers
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• v.17 no.5
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• pp.101-112
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• 2013

Large eddy simulation was performed to investigate the effect of linearly increasing wall disturbance on the modification of turbulent characteristics of temperature field in the vicinity of the wall. It was noted that temperature variance increased monotonically whereas temperature dissipation decreased significantly, resulting in a noticeable reduction in both time and length-scales. A sudden drop in turbulent Prandtl number down to around 0.25 in the near-wall region indicated that the similarity between velocity and temperature fields decreases near the wall as a result of linear wall disturbance.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.7 no.1
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• pp.16-29
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• 2000

The purpose of this study was to examine the effects of a warmed blanket on relieving the cold discomfort after Cesarean Section delivery. A nonequivalent control group pre-test/post-test design was used for this quasi-experimental study. Sixty women were recruited for this study and divided by two groups: experimental and control groups. Blankets warmed to $40^{\circ}C$ were applied to the women in the experimental group for one hour and unwarmed blankets were applied to the control group. Using Abbey's shivering scales, subjective thermal sensation score, and Celsius mercury thermometer, cold discomfort was measured at four time points: 1) baseline measure (at the point the blanket was applied) 2) 15 min. later, 3) 30 min. later, and 4) 45 min. after application. Data were analyzed using SPSS/WIN and t-test and MANOVA were used to examine the effects of the warmed blanket for relieving cold discomfort. The results of the study are as follows. The experimental group had less cold discomfort than the control group(Wilts's value =0.580, p=0.000) at the 45 minute point after blanket application. the Experimental group reported less shivering and subjective thermal sensation than the control group. Shivering scores showed significant differences between the two groups at each of the four time points (baseline, 15 min., 30 min., and 45 min.) and subjective thermal sensation score showed significant differences between two groups at 45 minutes. after blanket application. In conclusion, the application of a warmed blanket was more effective on shivering and subjective thermal sensation than body temperature measured by objective means. Because women in this study were in the normal range of body temperature, differences in the objective body temperature between the two groups may not be sensitive enough to be detected. Even though differences in objective body temperature were not found, reduced subjective discomfort for low body temperature may be a sufficient significant finding in for nurse clinicians to utilize this method on their practice. Further studies in this area are needed to support these findings.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.2
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• pp.1-10
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• 2002

This paper presents the new template based human face recognition methods to improve the recognition performance against scale and in-plane rotation variations of face images. To enhance the recognition performance, the templates are generated by linear or nonlinear operation on multiple images including different scales and rotations of faces. As the invariant features to allow for scale and rotation variations of face images, we adopt the affine transformation, the log-polar mapping, and the log-polar image based FFT. The proposed recognition methods are evaluated in terms of the recognition rate and the processing time. Experimental results show that the proposed template based methods lead to higher recognition rate than the single image based one. The affine transformation based face recognition method shows marginally higher recognition rate than those of the log-polar mapping based method and the log-polar image based FFT, while, in the aspect of processing time, the log-polar mapping based method is the fastest one.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.175-195
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• 1997

The learning curve has an important effect the growth of corporation. But, in Korea, the study and inference on the learning rate of each industry are unprepared, and so, Korean industires have difficult in productivity and cost. At this point, this study infers the learning rate of the oil industries and investigates the productivity and growth of them. In conclusion, this study presents the direction of the oil industries' development. With the intention of this objects, this study seizes the status which is concerned the total quantity, the operating rate, the plant capacity, the indicators concerning productivity, the investment of R & D and the scales, and then, infers and verifies the relevancy in connection with the learning rate. In the oil industry, the average rate of learning is 65.96% from 1982 to 1994 which the total quantity and the average operation time are used to infer the rate. To observe the low rate within a same period of time, this study takes the consequences that the learning rate is almost indentical with them each year. This steady state is caused by a difference between the employee and the decision maker about the acquirement and assimiliated of technology. When the high-quality technologies posses the environment to applicate in the scene of labor with them, this technology applies to the productivities. As the learning rate increases, the productivity has more effectiveness. The result of analysis about the effectiveness of the learning rate follows that the R & D unfoldes to exist and does not contribute to the growth of the oil industry. To analyze the variables of the growth, such as the learning rate, the investement of R & D, the operating rate and the gross value added to property, plant and equipment, the model is established and examined. The business strategy in the oil industry must be developed to achive the internal growth as well as the external.

• Journal of Korean Physical Therapy Science
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• v.9 no.4
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• pp.63-72
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• 2002

Patient satisfaction is an important factor in evaluating the quality of care. Patient satisfaction may be used to evaluate provider services and facilities, and used to predict the patient returns to a facility. The patients d whether the patient returns to a facility or whether the patient recommends the facility to other people may be affected by a variety of factors of patient satisfaction. Low satisfaction may result in poor compliance with the potential of waste of resources and suboptimal clinical outcome. This study is to identify factors of patient satisfaction that will affect patients decision whether the patient returns or not. A self-administered questionnaire survey was conducted in Seoul, Chung-Joo and Bu-Cheon cities, Survey data was obtained from 743 patients who visited the physical therapy practice at university hospitals, general hospitals and clinics. Response rate was 94.4%. The instrument developed by Goldstein et al. (2000) was used and translated into Korean. Several items were added to the instrument. Patient's opinions of service in each domain measured using 5-point Likert-type scales that ranged from strongly disagree to strongly agree. A multiple-regression analytic approach was used to predict overall satisfaction of physical therapy. Age, kindness, scheduling, convenience of parking, privacy, and waiting time predicted the overall satisfaction of physical therapy. The older patients had higher level of satisfaction with physical therapy compared with the younger patients. Patient satisfaction were more affected by access (scheduling and waiting time), administrative technical management (convenience of parking), and interpersonal management (kindness of physical therapists and other staffs) than clinical technical management (physical therapists' skills).

• Journal of Environmental Impact Assessment
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• v.12 no.1
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• pp.23-34
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• 2003

The emergency response modeling system CARIS has been developed at CCSM (Center for Chemical Safety Management), NIER (National Institute of Environmental Research) to track and predict dispersion of hazardous chemicals for the environmental decision support in case of accidents at chemical or petroleum companies in Korea. The main objective of CARIS is to support making decision by rapidly providing the key information on the efficient emergency response of hazardous chemical accidents for effective approaches to risk management. In particular, the integrated modeling system in CARIS consisting of a real-time numerical weather forecasting model and air pollution dispersion model is supplemented for the diffusion forecasts of hazardous chemicals, covering a wide range of scales and applications for atmospheric information. In this paper, we introduced the overview of components of CARIS and described the operational modeling system and its configurations of coupling/integration in CARIS. Some examples of the operational modeling system is presented and discussed for the real-time risk assessments of hazardous chemicals.

• Proceedings of the Korean Vacuum Society Conference
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• 2010.02a
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• pp.98-98
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• 2010

Ion beam irradiation has been extensively used for surface modification of polymers, glassy metals and amorphous and crystalline materials at micron and submicron scales. The surface structures created by exposure to an ion beam range from dots, steps and one-dimensional straight wrinkles to highly complex hierarchical undulations and ripples. In general, the morphology of these nanoscale features can be selected by controlling the ion beam parameters (e.g. fluence and acceleration voltage), making ion beam irradiation a promising method for the surface engineering of materials. In the work, we presented that ion beam irradiation results in creation of a peculiar nanoscale dimple-like structure on the surface of polyimide - a common polymer in electronics, large scale structures, automobile industry, and biomedical applications. The role of broad Ar ion beam on the morphology of the structural features was investigated and insights into the mechanisms of formation of these nanoscale features were provided. Moreover, a systematic experimental study was performed to quantify the role of ion beam treatment time, and thus the morphology, on the coefficient of friction of polyimide surfaces covered by nanostructure using a tribo-experiment. Nano-indentation experiment were performed on the ion beam treated surfaces which shows that the hardness as well as the elastic modulus of the polyimide surface increased with increase of Ar ion beam treatment time. The increased of hardness of polyimide have been explained in terms of surface structure as well as morphology changes induced by Ar ion beam treatment.

• Atmosphere
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• v.32 no.4
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• pp.367-379
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• 2022

In this paper, the evaluation of the performance of Korea Meteorological Administratio (KMA) Global Seasonal forecasting system version 6 (GloSea6) is presented by assessing the effects of larger ensemble size and carrying out the test using different initial conditions for hindcast in sub-seasonal to seasonal scales. The number of ensemble members increases from 3 to 7. The Ratio of Predictable Components (RPC) approaches the appropriate signal magnitude with increase of ensemble size. The improvement of annual variability is shown for all basic variables mainly in mid-high latitude. Over the East Asia region, there are enhancements especially in 500 hPa geopotential height and 850 hPa wind fields. It reveals possibility to improve the performance of East Asian monsoon. Also, the reliability tends to become better as the ensemble size increases in summer than winter. To assess the effects of using different initial conditions, the area-mean values of normalized bias and correlation coefficients are compared for each basic variable for hindcast according to the four initial dates. The results have better performance when the initial date closest to the forecasting time is used in summer. On the seasonal scale, it is better to use four initial dates, where the maximum size of the ensemble increases to 672, mainly in winter. As the use of larger ensemble size, therefore, it is most efficient to use two initial dates for 60-days prediction and four initial dates for 6-months prediction, similar to the current Time-Lagged ensemble method.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.741-747
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• 2022

Fatigue lowers an individual's ability and makes it difficult to perform work. As fatigue accumulates, concentration decreases and thus the possibility of causing a safety accident increases. Awareness of fatigue is subjective, but it is necessary to quantitatively measure the level of fatigue in the actual field. In previous studies, it was proposed to measure the level of fatigue by expert judgment by adding objective indicators such as bio-signal analysis to subjective evaluations such as multidisciplinary fatigue scales. However this method is difficult to evaluate fatigue in real time in daily life. This paper is a study on the fatigue classification model that determines the fatigue level of workers in real time using speech data recorded in the field. Machine learning models such as logistic classification, support vector machine, and random forest are trained using speech data collected in the field. The performance evaluation showed good performance with accuracy of 0.677 to 0.758, of which logistic classification showed the best performance. From the experimental results, it can be seen that it is possible to classify the fatigue level using speech signals.

• Korean Journal of Culture and Social Issue
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• v.11 no.1
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• pp.1-23
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• 2005

This article examines the relationship of career indecision, job search behavior, and employment among college seniors based on sub-scales of career indecision (lack of career information, lack of self-clarity, decisiveness, lack of necessity recognition, external Barrier). This study explored the effect of career indecision, job search behavior, and employment successes(number of application, number of interview, number of job offer) in longitudinal method. In result, career indecision had negative effect on job search behavior. In other words, the higher career indecision level is, the less job search behavior is performed. Especially, career indecision is connected with preparatory job search behavior and informal job search behavior. Another finding is that job search behavior in time 1 (first semester of college senior) had a strong effect on all of employment success variables in time 2(second semester of college senior). Finally, the theoretical and practical implications of this research were discussed. Based on the limitation of this study, several directions for future research were also suggested.