Hyaluronic acid is natural polysaccharide existing around skin or cartilage, and is known as a moisturizing factor. It is expected that hyaluronic acid cosmetics market will continue to grow in the future, as its use and demand increases, like medical supplies and health food besides cosmetics containing hyaluronic acid. However, There are few present studies on content in cosmetics containing hyaluronic acid. The purpose of this study was to evaluate satisfaction and examine what effect was produced on sebum and moisture in skin after applying to cosmetics the hyaluronic acid helpful in maintaining moisture in skin at 5%, 20% and 50% concentration. For 71 days, a clinical trial in a total 39 persons living in the national capital region was carried out. And sebum and moisture was measured through skin diagnosis system A-ONE TAB before trial and each day when clinical trial was conducted for hyaluronic acid content group. Besides, this study was to examine subjects' general characteristics, eating habits, and living habits, and satisfaction after the clinical trial. This study analyzed a difference according to the time to measure the skin condition among hyaluronic acid content groups by utilizing statistical package program SPSS v. 21.0 through data coding and data cleaning process. There was no statistically significant difference in hyaluronic acid content according to any of demographic characteristics, eating habits and living habits among groups (p>.05). With regard to hyaluronic acid content, there was no statistically significant difference in moisture and sebum prior to clinical trial in T zone and U zone among groups (p>.05). A change of moisture in T zone among groups according to hyaluronic acid content showed statistically significant difference in the 2nd week (F =3.636, p<.05). And the highest level was shown in 50%(44.15±2.672), being followed by 20%(43.15±2.340), and 5%(41.62±2.219). Accordingly, it was shown that, as hyaluronic acid content relatively increased, the moisture in T zone increased. In the results of analyzing the change of moisture in U zone, the change of sebum in T zone and U zone by group according to hyaluronic acid content, no statistically significant difference was shown in sebum level of T zone by group(p>.05). For analyzing the subjective satisfaction after clinical trial among groups according to hyaluronic acid content, satisfaction score was the highest in 'skin moistness' (4.38±0.650) for 5% group, 'skin moistness' (4.69±0.480) for 20% group and 'skin texture smoothness' (4.54±0.519) for 50% group. And no statistically significant difference was shown in each subjective satisfaction by group according to hyaluronic acid content(p>.05). It was thought that the results of skin condition and subjective satisfaction survey according to hyaluronic acid content would be baseline data for developing cosmetics containing the hyaluronic acid and marketing a skin moisturizer.

본 논문은 명대의 역적 당새아가 청대 소설 속에서 돌연 女仙이자, 나라를 구하는 영웅의 형상으로 변신한 데 주목하고, 그녀가 소설 속에서 극적인 변신을 이루게 된 원인을 고찰하였다. 이를 위해 먼저 실존인물 당새아의 행적 및 그녀에 대한 명대인의 평가를 시기별로 살펴보고, 그런 다음 청대소설 『여선외사』 속 당새아의 형상을 분석하였으며, 마지막으로 당새 아형상의 극적 변신의 이유를 소설의 창작 동기 및 평어를 중심으로 분석하였다. 역적 당새아의 소설 속 변신은 청대 초기의 사회적 배경, 즉 왕조 교체로 인해 명대에 발생했던 정난 지변을 재조명할 수 있는 환경이 마련된 것과 밀접한 관련이 있다.

The purpose of this study is to examine the mediating effect of the organizational trust, acceptance of organizational change on the relationship between job characteristics and organizational commitment. For this study, data were collected from convenient sample of 241 employees at small and medium enterprises in Ulsan city and Gyeongju city. All data collected from the survey were analyzed using with SPSS 18.0 and AMOS 18.0. This study reports findings as followed: 1. The relationship between the job characteristics and the organizational trust is positively related. 2. There was a positive correlation between the job characteristics and the acceptance of organizational change. 3. There was a positive correlation between the job characteristics and the organizational commitment. 4. The relationship between the organizational trust and the acceptance of organizational change is positively related. 5. There was a positive correlation between the organizational trust and the organizational commitment. 6. There was a positive correlation between the acceptance of organizational change and the organizational commitment. Finally, the organizational trust and acceptance of organizational change played as a partial mediator on the relationship between job characteristics and organizational commitment.

As a result of reviewing various documents and existing researches, since the late Goryeo period, the most active period in the Ondol(溫突, Korean floor heating system) facilities is the 17th century. The phenomenological reason was recovering the buildings destroyed by the Japanese Invasion of Korea in 1592(壬辰倭亂]) & the Manchu War of 1636(丙子胡亂), but the underlying cause was an abnormal climate in which a pair of summer and winter cold continued. In the 17th century, as the Ondol facilities grew rapidly without distinction between regions and classes, the supply and demand of fuel caused economic and natural environmental problems. And a negative and positive view on Ondol was suggested. Since the middle of the 18th century, when the demand and supply of Ondol reached its peak, which could no longer increase, a new awareness of Ondol began to grow. The room was called the Panbang(板房)and the Ondol, depending on the material that made up the floor. It was considered natural to have the Ondol from this time on. The Incan(□火間) and Jo(竈) that were made to burn were started to be recorded as a kitchen, regardless of size and function. Changes in social awareness of Ondol have led to concerns about heating efficiency. A variety of architectural explorations were conducted. Such a search was later realized in concrete architectural form. There is a double Ondoll structure, and the column spacing is reduced compared to the previous one. The heat buffer space is formed around the Ondol room, and the double window can control the light and the air going in and out.

본 연구는 대형공간을 대상으로 시선추적 실험을 실시하고, 성별에 나타난 동공의 주시특성을 분석하였다. 시선추적 실험 시간의 흐름에서 생겨나는 동공변화를 분석함으로써 성별 주시행태를 객관적이면서도 과학적으로 분석할 수 있는 틀을 제시했다. 나아가 동공의 크기가 안정적으로 변하는 시간과 성별에 따른 차이를 정리하였는데 성별에 따른 시지각 정보 획득 시간의 특성을 발견할 수 있었으며 여자가 남자보다 1~2초 정도 늦게 관심과 흥미요소를 시각정보로서 받아들이기 시작한 것을 알 수 있었다. 초기 ｢1초→2초｣에서 남자는 도약, 여자는 고정에서 동공크기가 확대되었다. 또한 고정 주시에 국한하여 성별 변화율을 보면 9초를 전환점으로 해서 9초 이하 시간에서는 여자가, 9초 이후 시간에서는 남자의 동공크기가 더 커졌다. 즉 1-8초 시간에서는 여자가, 10-15초 범위에서는 남자가 상대적으로 더 큰 동공확대를 통해 시지각 정보를 획득한 것으로 보인다. 하지만 주시시간의 시간의 변화에 따라 여자의 동공크기가 더 크게 확대된 것에서부터 여자의 경우가 일정 시간이 경과한 후에는 관심이나 흥미가 있는 요소를 더 많이 주시하려는 움직임이 활발했다.

Effects of annealing temperature on the microstructure and mechanical properties through thickness of a Cu-3.0Ni- 0.7Si alloy processed by differential speed rolling are investigated in detail. The copper alloy with a thickness of 3 mm is rolled to a 50 % reduction at ambient temperature without lubricant and subsequently annealed for 0.5 h at 200-900 oC. The microstructure of the copper alloy after annealing is different in the thickness direction depending on the amount of the shear and compressive strain introduced by the rolling; the recrystallization occurs first in the upper roll side and center regions which are largely shear-deformed. The complete recrystallization occurs at an annealing temperature of 800 oC. The grain size after the complete recrystallization is finer than that of the conventional rolling. The hardness distribution of the specimens annealed at 500-700 oC is not uniform in the thickness direction due to partial recrystallization. This ununiformity of hardness corresponds well to the amount of shear strain in the thickness direction. The average hardness and ultimate tensile strength has the maximum values of 250 Hv and 450 Mpa, respectively, in the specimen annealed at 400 oC. It is considered that the complex mode of strain introduced by rolling directly affects the microstructure and the mechanical properties of the annealed specimens.

In this study, we tested Japanese trolling lines in the Jeju fishery. This fishery simulates the natural marine environment with many seabed rocks, and has been redesigned and manufactured it to be suitable for the Jeju fishery. In order to ensure that the trolling lines were deployed at the inhabitation depth of hairtails, the conditions required for the fishing gear to reach the target depth were determined for use during the experiment. The experimental test fishing was conducted at the depth of 120 m water in front of Jeju Seongsanpo and in the offshore area of Jeju Hanlim. The fishing gear used in the test fishing is currently used in a variety of field operations in Japan. However, several problems were identified, such as twisting of the line during its deployment and excessive sinking of the main line. The fishing gear was, therefore, redesigned and manufactured to be more suitable for the Jeju fishery environment. For the fishing gear to accurately reach the target depth, depth loggers were installed at the starting point of the main line and at the 250 m and 340 m points of the line. Depth and time were recorded every 10 seconds. According to the daytime positioning of hairtails in the lower water column, the target depth of the fishing gear was set at 100-110 m, which was 10-20 m above the sea floor. At a speed of 1.9 knots and with a 9 kg sinker attached, the main fishing line was deployed and catch yields at depths of 100 m, 150 m and 180 m were recorded and analyzed. When the 180 m main line was fully deployed, the time for the hairtail trolling lines to arrive at the appropriate configuration had to be 5 minutes. At this time, the depth of the fishing gear was 16-23 m above the sea floor, in accordance with the depths at which the hairtails were during the day. In addition, in order to accurately place the fishing gear at the inhabitation water depth of hairtails, the experimental test fishing utilized the results of the depth testing that identified the conditions required for the fishing gear to reach the target depth, and the result was a catch of up to 97 kg a day.

The road surface condition in winter is important for road maintenance and safety. To estimate the road surface condition in winter, the RWIS(Road Weather Information System) is used. However RWIS is not measured the continuous road surface information but measured the locational road surface information. To overcome the current RWIS limitation, the thermal mapping sensor which can collect the road surface condition employed in some countries. Although the thermal mapping sensor can collect the continuous road surface information, it is difficult to collect vast data due to apply few probe car. This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors and collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. To find out the correlation between road surface and ambient temperature which may affect patterns of road surface temperature variation, the various weather and topographical conditions along with the test route were considered. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error. According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance. When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

본 연구는 생물계절학적 측면에서 기후변화에 의해 참매미 번식울음이 영향을 받는지 규명하는데 목적이 있다. 연구대상지는 기상청의 생물계절 관측이 이루어지는 도시 중 한반도 중부지방인 서울시를 선정했다. 장기간 생물계절 분석은 기상청 자료를 활용하였다. 연구 결과, 첫째, 매미의 생물계절 모니터링은 기후변화에 의한 생태계 변화를 감지할 수 있는 효과적인 지표임을 확인하였다. 본 연구를 통해서 기후변화에 의한 생태계 변화 연구를 위해서는 향후 장기적인 매미과 생물계절 조사가 필요할 것으로 판단되었다. 둘째, 참매미의 생물계절 변화 분석 결과, 초성일은 점점 빨라지는 경향을 나타내었다. 참매미 생물계절 데이터와 평균기온 간의 상관분석 결과에서는 6월의 평균기온과 매미의 초성시기가 유의미한 음의 상관관계를 가지고 있음을 확인하였다. 또한 10월의 강우량과 참매미의 번식울음 종료 시기 및 총 울음기간이 유의미한 음의 상관관계를 보였다. 셋째, 서울 참매미 번식울음 시작 시기와 기상요인 간 회귀분석 결과, 6월을 포함한 봄철(3~6월) 평균 기온이 증가할수록 참매미의 시작일이 빨라지는 것으로 나타났고, 시작일 증가율은 약 3.0~4.5일/1℃이었다. 넷째, 서울 참매미의 번식울음 종료 시기와 총 울음기간과 기상요인 간 회귀분석 결과, 10월 평균 강우량이 증가하면 참매미 종료일이 빨라지고 총 울음기간이 줄어드는 결과가 나타났다. 종성일 감소율은 –0.78일/1mm이었으며 울음기간 감소율은 –0.8일/1mm이었다. 본 연구는 참매미를 대상으로 기후변화 에 의한 생물계절 변화를 밝힌 초기 연구로 의의가 있다.

In order to effectively utilize thermal energy, we analyzed the performance of the high efficiency latent heat storage system which can be used for greenhouse heating by using the developed phase change material. The system consists of hot water boiler, heat storage material, heat storage box, heat storage tank, circulation pump, control panel, and storage material. As a result, the latent heat and latent heat temperature of sodium acetate hydrate as latent heat storage material are 231.6 ~ 264.8kJ/kg, 54.95 ~ 55.48℃. As the number of cooling and heating increased, the latent heat temperature showed a slight change, but the latent heat decreased 33.1kJ/kg as the number of repetition increased. In the case of sodium acetate hydrate, large supercooling phenomenon was observed, and it was found that mixing of additives such as nucleating agent, thickener and supercooling agent can control the supercooling more effectively. The consumption of kerosene decreased until the temperature of the heat storage tank was raised to the set temperature by the closed circuit for 4 hours in the initial stage of the boiler operation. The heat exchange rate according to the change of the flow rate was maintained at the set temperature inside the heat storage tank after 4 hours of operation, Consumption was high. As the flow rate increased, the inlet and outlet temperature difference decreased, the heat exchange rate increased, and the heat exchange efficiency was in the range of 57.4 ~ 60.5%.

본 연구의 목적은 우리나라에서 수행된 지구과학교육 분야의 개념변화 연구 동향을 분석하여 향후 개념변화 연구의 기초 자료로 제공하는 것이다. 우리나라 지구과학 개념변화 연구의 경향성을 논문의 키워드, 발표 연도, 논문 출처, 연구 목적, 연구 대상, 연구 영역, 연구 방법 측면에서 분석하였다. 연구 대상은 우리나라 지구과학교육의 개념변화 연구 논문이 처음 발표된 1989년부터 2017년 7월까지, 총 126편의 지구과학교육의 개념변화 논문이었다. 본 연구의 분석 결과는 다음과 같다. 첫째, 지구과학 개념변화 논문은 ‘개념변화’라는 용어를 ‘오개념’, ‘선개념’ 보다 더 많이 사용하였다. 둘째, 개념변화 논문은 2000년대에 많은 양적인 성장을 이루었다. 셋째, 개념변화는 석사 학위의 연구주제로 많이 이루어지고 있었다. 넷째, 오개념 조사와 그에 따른 교정을 함께 다룬 연구가 많았고, 오개념 조사로는 자유응답 검사법을, 오개념 교정 방법으로는 인지갈등 수업모형과 CAI 교수전략을 주로 활용하였다. 다섯째, 초등학생 대상 연구가 가장 많이 이루어졌다. 여섯째, 개념변화 연구의 지구과학 영역은 천문과 대기의 비중이 높았다. 마지막으로, 연구 초기에는 양적 분석 방법을 많이 사용하였지만, 2010년대에 들어서는 질적 분석 방법을 많이 사용하였다. 향후 개념변화의 연구 과제로 예비 및 현직 교사 대상의 개념변화 연구, 지질·해양·대기 등 다양한 영역으로의 연구 확대, 오개념 형성원인 파악 및 정의적 요인에 관한 연구 등을 제안하였다.

The curved beam has a complicated behavior compared to a straight beam due to torsional and warping. Therefor, in this study, eigenvalue analysis was performed for curved beam with different shape(I-shape, T-shape, box-shape) corresponding to the same value of the moment of inertia. As a result the curved beam with box-shape section had a larger natural frequency value than the other curved beam. Also, the dynamic analysis results showed that the largest result was obtained at 826.18MPa in the T-shape curved beam when the gyeongju earthquake was applied.

PURPOSES: This study develops various models that can estimate the pattern of road surface temperature changes using machine learning methods. METHODS : Both a thermal mapping system and weather forecast information were employed in order to collect data for developing the models. In previous studies, the authors defined road surface temperature data as a response, while vehicular ambient temperature, air temperature, and humidity were considered as predictors. In this research, two additional factors-road type and weather forecasts-were considered for the estimation of the road surface temperature change pattern. Finally, a total of six models for estimating the pattern of road surface temperature changes were developed using the MATLAB program, which provides the classification learner as a machine learning tool. RESULTS: Model 5 was considered the most superior owing to its high accuracy. It was seen that the accuracy of the model could increase when weather forecasts (e.g., Sky Status) were applied. A comparison between Models 4 and 5 showed that the influence of humidity on road surface temperature changes is negligible. CONCLUSIONS: Even though Models 4, 5, and 6 demonstrated the same performance in terms of average absolute error (AAE), Model 5 can be considered the optimal one from the point of view of accuracy.