This research is to conduct a survey on Plant Attitude Scale, Emotional Intelligence, Aggression Scale and Verbal Aggressiveness Scale of 540 elementary schoolchild and to analysis on credibility, descriptive statistics and correlation by SPSS (Statistical Package for the Social Sciences) Version 21. Both Plant Attitude Scale (Importance of plant, function of urban trees, interest on the plant, utilization of plant) and Emotional Intelligence (emotion recognition, empathy, emotion control ability) present significant correlation. The higher grade of plant attitude including higher emotional intelligence. in the entire of plant attitude, the most of subcategories of emotional intelligence indicate significant correlation. Importance of plant and interest on the plant has more significant correlation with emotional intelligence. As Plant Attitude Scale and Aggression Scale (physical aggression, anger, hostility) present the significant negative correlation, it shows that the higher plant attitude, the lower aggression. The plant attitude indicates very significant correlation between physical aggression and anger in physical aggression and anger as well as importance with plant. In case of function with urban trees, it shows the higher physical aggression, anger and interest on the plant, the lower physical aggression. While Plant Attitude Scale and Verbal Aggressiveness Scale (Swear, ridicule, taunt, threat, curse) present significant negative correlation, the higher plant attitude, the lower verbal aggressiveness. The plant attitude indicates that there is significant negative correlation in swear, ridicule, curse among the verbal aggressiveness. In the subordinate scope, especially in importance of plant, it shows significant difference that grade of sear gets lower as the higher swear and curse including case of swear, ridicule and function of urban trees and also there are higher points with sear, ridicule, curse and utilization of plant in case of interest on the plant.

본 연구에서는 우리나라 강수 및 기온과 다양한 기상인자와의 교차상관관계 분석을 통해 대규모 기후변동이 우리나라에 어떠한 영향을 주는지를 분석하였다. 강수 및 기온자료의 경우 앞선 연구인 “경험적 모드분해법을 이용한 기상인자와 우리나라 강수 및 기온의 상관관계 분석 : I. 자료의 분 해 및 특성분석”의 연구결과를 통해 주기성, 경향성에 따라 분해한 강수 및 기온자료의 내재모드함수를 사용하여, 자료의 변동이 심하고 잡음이 포 함된 원 자료를 통한 상관관계 분석보다 좀 더 명확한 상관계수를 계산하였다. 이렇게 분해된 기상자료와 기상인자간의 교차상관관계 분석을 통해 그 시간차와 상관계수를 계산하여, 주기성과 경향성 측면에서 어떠한 상관관계가 있는지를 분석하였다. 그 결과 주기성 측면에서 엘니뇨현상에 의 한 기후변동이 우리나라 기상현상과 밀접한 관련이 있으며, 경향성 측면에서 기후변화로 인한 해수면 온도 증가추세가 우리나라 기상현상과 밀접 한 연관이 있음을 알 수 있었다.

최근 기후변화로 인한 자연재해가 증가하면서 강수 및 기온자료의 시계열에 대한 변동성과 추세를 분석하여 그 변화를 예측하는 연구의 필요성 이 점점 커지고 있다. 하지만 강수나 기온의 경우 복합적인 요소에 의해 변동이 일어나 자료의 변동성이 매우 심하고 너무 많은 요소를 포함하게 되 어 그 특성을 정확히 판단하기가 쉽지 않다. 따라서 자료의 시계열을 분해하게 되면 각 특성을 가진 요소를 추출할 수 있으므로, 정확한 변동 특성을 파악할 수 있다. 본 연구에서는 우리나라 강수 및 기온자료를 경험적 모드분해법(Empirical Mode Decomposition, EMD)을 통해 주기별로 분해 하여 각각의 내재모드함수(Intrinsic Mode Function, IMF)를 추출하였다. 또한, 추출된 내재모드함수의 에너지 밀도를 이용한 유의성 검정을 통 해 원자료로부터 유의미한 자료를 포함하고 있는 내재모드함수를 선별하고, 이들의 주기성, 경향성을 분석하였다.

Purpose This study investigated – the demographic characteristics of retirees who sought not to be reemployed or join an organization but, instead, to be self-employed. This study verified self-employment by regional and/or educational features to determine the self-employment factors and the policies required. Research design, data, and methodology – Models and hypotheses were used to verify the conversion into self-employment depending on retirees’ demographic characteristics. This study investigated regions according to precedent studies and used SPSS 18.0 as follows. First, frequency was used to investigate the general characteristics. Second, a factor correlation analysis was done. Results – Hypothesis 1, which stated that, "retirees with low educational background often start a self-employed business," was significant. Hypothesis 2, which stated that, "retirees in metropolitan areas frequently start a self-employed business," was significant. Hypothesis 3, which stated that, "retirees in a megalopolis frequently start a self-employed business," was significant. Conclusions – A preliminary startup education was needed to lessen the losses. Retirees should have preliminary knowledge of actual self-employment conditions to be given a startup education.

This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.

Based on the study of chloride migration coefficient and hydration heat evolution, it was found that the use of ternary blended cement was effective to achieve desired service life and minimum crack index. On the other hand, a high level of compressive strength is required for marine concrete mix design.

It has becoming issue of damage in finishing materials of the exterior and interior when have to the transportation and lifting. So the purpose of this study is analyze for correlation of load on connecting part of unit modular when transporting unit modular by vehicle

In this study, shear behaviors of various SFRC were predicted using Vector 2 program. Obtained analytical data was compared with preceded experimental data performed by other researchers. It was found that one increase in the span to depth ratio results in 54% decrease in the shear strength. Likewise, 1% increase in the reinforcement ratio causes a 19.9 % increase in the shear strength.

본 연구는 경도인지장애가 동반된 환자를 대상으로 뇌 자기공명영상에서 인지 영역에 대한 대뇌 피질 두께를 측정하고 신경심리검사 결과와 비교하여 신경해부학적 상관관계를 규명하고자 하였다. 이를 위하여 파킨슨병으로 최초 진단 받고 신경심리검사를 시행한 78명(경도인지장애군: 39명; 비인지장애군: 39명)과 정상인 그룹 32명을 선정하였다. 신경심리검사에서 경도인지장애군과 비인지장애군의 상관관계와 신경심리검사와 뇌 자기공명영상에서 대뇌 피질 두께의 상관관계는 독립표본 T 검증 또는 피어슨 상관분석을 실시하였으며 수집된 자료의 유의 수준은 p<0.05에서 검증하였다. 결론적으로 경도인지장애를 동반한 파킨슨병 환자는 뇌 자기공명영상에서 양측 쐐기압소엽과 우하측두엽의 대뇌 피질 두께가 통계적으로 유의하게 감소하였으며 인지 기능 평가를 위한 신경심리검사에서 시공간 기능, 언어 및 시각 기억력 기능이 저하되었다. 특히 언어 및 시각 기억력 영역에 대한 신경심리검사와 신경해부학적으로 좌측 쐐기앞소엽에서 상관관계가 있었다.

홍수시 하천의 유속을 효율적이고 안전하게 측정할 수 있는 방법의 하나로 제시된 것이 표면 영상 유속 측정법이다. 일반적인 표면영상유속계(SIV)는 두장의 정지영상에서 영상 조각을 잘라낸 뒤 여기에 상호상관법을 적용하여 유속을 산정한다. 이 방법은 짧은 시간간격의 유속분포 측정에 매우 효율적이다. 그러나 장시간의 평균 유속장을 산정하는 데는 많은 시간이 소요되며, 순간 유속장을 산정하기 때문에 흐름 조건이나 촬영 조건에 따라 생기는 잡음이나 불확실성의 영향을 많이 받게 된다. 이를 개선하고자 개발된 방법이 시공간 영상을 이용하여 일정 시간동안의 유속의 평균을 한번에 산정하는 시공간영상유속계측법(STIV)이다. 시공간영상유속계측법 중의 하나인 휘도경사텐서법은 일정 시간동안의 시공간 영상을 한 번에 분석하기 때문에, 유속 산정 시간을 획기적으로 줄일 수 있는 장점이 있다. 그러나 이 방법은 하천의 일방향 유속만을 계산할 수 있기 때문에 구조물 주변이나 만곡이 있는 경우의 2차원 흐름 측정은 불가능하다는 한계가 있다. 이를 개선하기 위해서 본 연구에서는 상호상관법을 이용하여 2차원적으로 시공간 영상을 분석하는 방법(상호상관 시공간영상유속계측법)을 개발하였다. 이 방법은 시공간영상에서 시간축 방향으로 상관분석을 통해 영상변위를 산정하는 방법이다. 기존의 시공간영상분석기법 중 하나인 휘도경사텐서법이 주흐름 방향만 분석이 가능하였던 데 비하여, 상호상관 시공간 영상분석법은 2차원 유속분포 측정이 가능하고, 시간적인 평균을 취하기 때문에, 공간 해상도가 높으며, 전체적인 유속 분석시간이 매우 짧아지는 장점이 있다. 또한 공동 흐름에 대한 인공 영상을 이용한 오차 분석결과 최대 10% 이내, 평균적으로 5% 이하의 오차를 보여 상당히 정확하게 2차원 유속분포 측정이 가능한 것으로 나타났다.

Leachate generation is an inevitable consequence of waste disposal in landfills. Numerous mathematical modelshave been developed to simulate leachate occurrence and behavior. However, these models have been successful toa limited extent because of uncertainties associated with biological, chemical, and physical processes in landfills. Inorder to predict the generation of leachate in closed landfills, correlation analysis was conducted based on precipitationin this paper. Regression analysis for deriving the correlation between precipitation and leachate generation rate wasperformed in a closed landfill. As a result, we found that the amount of leachate which is generated regardless ofprecipitation should be considered as well as the percolation of precipitation. Also, it was possible to make an fairlyaccurate prediction of leachate generation only using precipitation data in this paper. It is suggested that the amountof leachate generation is 4~8% of monthly precipitation and about 25,000m3/month of base generation regardlessof precipitation. However, the predicted values of leachate generation for the high precipitation seasons were not closeto those observed.

The objective of this study was to analyze correlation between phenological characteristics of Salix spp. and meteorological factors in the Upo wetlands. Phenology of Salix subfragilis Andersson and Salix chaenomeloides Kimura was monitored from 2007 to 2012. Meteorological variables were monitored by Korea Meteorological Administration (Hap-chon). Average date of flowering, fruiting, seed dispersion was 86, 113, 136 days for S. subfragilis and 112, 140, 164 days for S. chaenomeloides as Julian days. Flowering of S. subfragilis and S. chaenomeloides were correlated with daily mean air temp. in March (r=-0.92, r=-0.85, p<0.05). Fruiting of S. subfragilis was correlated with total precipitation between Jan and March of previous year (r=-0.90, p<0.01), however, the fruiting of S. chaenomeloides was highly correlated with max. temp. in Jan of previous year (r=0.99, p<0.01). Seed dispersion of both species is correlated with min. temp. in Feb. Phenology monitoring will contribute to understanding Salix spp. response against climate change.

In order to verify the healing effect in the variety of effects according to fountain type, anion which is the representatives factor of healing, as the center of case studies which in Gwanghwamun(Ground fountain), Cheonggyecheon(Waterfall) and Myeongdong(Formative fountain). According to fountain type, the anion distribution as follow, figures typically 15,721 ± 419 ea/cm³, Formative fountain 40,190 ± 788 ea/cm³, Waterfall 4,480 ± 290 ea/cm³ and ground fountain 2,492 ± 180 ea/cm³. It is usually exceed to the distribution in natural green, which is 1070∼2100 ea/cm³. The interrelation between air temperature, relative humidity, wind speed and relative humidity, and wind speed is that, the relative humidity is directly proportional to wind speed and inversely proportional to temperature. As the temperature goes up, the distribution of anion goes down. And as the wind speed and relative humidity goes up, the distribution of anion decrease sharply. The result of interrelation between fountain type and the anion distribution is that, the distance of water falling is directly proportional to the anion distribution in the formative fountain and inversely proportional in the ground fountain. And the distribution of anion is largest in formative fountain. The distribution of anion in ground fountain is lower than in formative fountain, but it is far more than in natural greenery. And as the distance from fountain increase, the distribution of anion goes down.

일반적으로 고속도로는 대용량의 교통량을 높은 수준의 안전성과 효율성을 가지고 고속으로 이동시키기 위해 건설되었다. 국내 경부고속도로와 남해고속도로는 부산항을 기 종점으로 하는 핵심고속도로로 컨테이너차량을 포함한 수출입화물트럭의 집중으로 교통문제가 종종 발생하고 있어서 교통문제 완화를 위해서는 교통특성연구의 필요성이 제기되고 있는 상황이다. 그리하여 본 연구에서는 경부고속도로와 남해고속도로의 8차로 기본구간을 대상으로 차로별 점유율과 평균밀도의 상관관계를 통해 고속도로의 밀도추정모형을 제시하고자 하였다.

본 논문은 강릉 지역에서 동일 기간에 기록된 공간 감마선량률과 강수량, 일조시간, 평균풍속 사이의 교차 상관 지수 pDCCA를 DCCA cross-correlation coefficient(DCCA p)방법으로 구하여 교차 상관성을 분석하였다. 우리는 이 연구를통해 다음의 사실을 알았다. 첫 번째, 공간 감마선량률과 강수량 사이 pDCCA는 일(4~7일), 달(30일), 계절(90일), 년(360일)에서 0.57~0.48, 0.39, 0.34, 0.26, 공간 감마선량률과 일조시간 사이 pDCCA는 일, 달, 계절, 년에서 –0.20~-0.23,-0.22, -0.17, -0.13, 공간 감마선량률과 평균풍속 사이의 pDCCA는 일, 달, 계절, 년에서 –0.10~-0.12, -0.11, -0.05, -0.05이다. 두 번째, pDCCA를 통하여 공간 감마선량률과 강수량은 교차 상관성이 있으며 공간 감마선량률과 일조시간, 평균풍속 사이에는 교차 상관성이 없다는 것을 확인하였다.

The sensors currently installed for bridge monitoring are faced with limitations in terms of the application and effectiveness of such systems in current long sized bridges, which are developing rapidly in terms of both size and function. Global Navigation Satellite System (GNSS) has been noted as an only way to overcome the limitations of such sensors. This is because they have numerous desirable characteristics that outweigh their high cost. However, GNSS installed for bridge monitoring has been used so far only in measurement of bridge displacement. Therefore, in this study, verify the usability of GNSS through correlation analysis between deflection and temperature

This study examined urbanization effects and the causes of urbanization, urban population growth, increase of the city scale, land cover change, and human cultures and economic activities, using the daily minimum temperatures of the past 50 years (1961-2010) with the subject of Busan and analyzed correlations between urbanization effects and the causes of urbanization. Thereby, this paper drew a conclusion as below: 1) Due to the urbanization effects, the average annual daily minimum temperature increased as about 1.2℃; however, except for the factor of urbanization, the increase was shown as about 0.2℃. The occupancy of urbanization effects in the total temperature increase was quite high as about 83%. 2) Just like other cities experiencing urbanization, Busan, too, sees population growth and the expansion of city area as well as increased urbanization effects. First of all, correlation between population growth and urbanization effect was high as 0.96 before 1985 while it was lowered as 0.19 after 1985. Also, correlation between the increase of city area and urbanization effect was high as 0.64 and 0.79 before and after 1985. 3) Regarding the correlation between long-term land use change and urbanization effect, urbanization effect was affected greatly by the increase of city area (0.97) and reduction of green area (0.92). 4) Concerning human activities possible to affect the climatic factors of a city, this paper found the following factors: road length, car increase, power use, and the consumer price index, etc. And regarding the correlation between the three factors and urbanization effect, the correlation was higher in the consumer price index (0.97), the number of registered cars (0.89), power use (0.75), and road length (0.58) in order.

본 연구에서는 목자판과 수면이 포함되어 있는 시차를 가진 두 영상에 대해 직사각형 검사영역을 설정하고 그 상관계수를 분석하여 수면을 판단하는 새로운 수면인식 기법을 제안하였다. 상관계수의 수직적인 값들로부터 임계치, 첨두값, 기울기, 분산비 등 4가지 방법을 이용하여 수면의 위치를 판정하였다. 흔들림 등으로 인해 두 영상의 위치가 불일치하여 생기는 문제를 제거하기 위해 추가로 영상의 흔들림을 보정하는 알고리즘과 통계적 필터링 기법을 적용하였다. 저수시에 촬영한 28개 지점의 영상에 개발한 수면 인식 방법을 적용하였다. 이 방법으로 계산한 수면은 목측 수면과의 평균상대오차가 3.4～5.7 cm 정도로 나타났다. 수면의 요동이 있을 경우, 이 방법은 기존 방법을 보완하여 영상수위계의 수위 측정성능을 높이는데 활용될 수 있을 것이다.

In this study, an experimental research is conducted to determine the influence of field conditions on the soil dielectric constant in order to evaluate the feasibility of using TDR method as a cavity exploration. Dielectric constant of the ground considering field conditions(e.g. casing and ground disturbance) was measured using TDR method. The results conclude that the dielectric constant of ground tended to decrease with the increase in the water contents and density.

There are many factors to influence the amount of terpene at the forest. However, it is poorly understood whether the amount is altered by meteorological factors. In order to study correlation analysis between terpene amount and meteorological(i.e., temperature, humidity, wind speed, solar radiation) and environmental factors(i.e., oxygen, carbonb dioxide) at the artificial coniferous forest of Chamaecyparis obtusa (site 1) and Cryptomeria japonica (site 2) nearby the 1st reservoir at Mt. Moodeung, the research was executed during April to November in 2011. Forest density at site 1 was 1,692 trees/ha, being occupied with 87.2% of Chamaecyparis obtusa, higher than 925 trees/ha at site 2. Carbon dioxide at site 1 was in the range of 385∼410 ppm in June, similar to at Anmyundo(395 ppm in 2010). Solar radiation has positive correlation with ambient temperature and inversely negative with relative humidity. Main species of terpene released were α -pinene, camphene, β-pinene, cymene, δ-limonene and camphor at two sites and terpene was more effluent at spring and summer than at fall. The large amount of terpene was emitted in the afternoon than in the morning under the influence of the wind speed and the topographical property. The terpene amount has positive correlation with relative humidity and oxygen, and negative with wind speed and soil temperature. Because correlations of α-pinene and other terpene materials showed statistically significant within p=0.01. α-pinene could be suggested as the basic material in explaining the amount of other terpene materials.