algorithms for deriving and analyzing retroreflectivity influence factors through regression analysis. METHODS : An experimental road lane was created to examine the trends of retroreflectivity and LiDAR intensity values, and a controlled indoor experiment was conducted to identify influencing factors. The optimal algorithm was developed by regression analysis of the experimental data. RESULTS : The significance probability (P-value) through SPSS linear regression analysis was 0.000 for measured height, 0.001 for perpendicular angle, 0.157 for vertical angle, and 0.000 for LiDAR intensity, indicating that measured height, vertical angle, and LiDAR intensity are significant factors because the significance probability is less than 0.05, and vertical angle is not significant. The NNR regression model performed the best, so the measurement data with height (1.2m, 2m, 2.2m) and vertical angle (11.3°, 12.3°, 13.5°) were analyzed to derive the optimal LiDAR Intensity measurement height and vertical angle. CONCLUSIONS : For each LiDAR measurement height and vertical angle, the highest correlation between LiDAR Intensity and retroreflectivity was found at a measurement height of 1.2 meters and a vertical angle of 12.3°, where the model learning accuracy (R2) was the highest.

This study aims to investigate the correlation between the causes of natural disasters and feng shui factors targeting disaster management experts, feng shui experts, and the general public who are interested in feng shui. To this end, it is intended to reveal that the factors of the disaster at Mt. The purpose of this study is to analyze the impact of three factors on disasters: feng shui factors, natural factors, and social factors. To this end, a survey was conducted targeting feng shui experts, disaster management experts, master's and doctoral students in feng shui geography, residents of the Umyeonsan disaster area, and people interested in feng shui geography. 260 copies of the questionnaire were prepared and 248 copies were used for the final analysis. First, in order to analyze the impact of feng shui factors on awareness of disaster occurrence, after controlling for demographic variables, hierarchical multiple regression analysis was conducted to analyze the impact of feng shui factors on awareness of disaster occurrence. Second, as a result of analyzing the effect of natural factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Third, as a result of analyzing the effect of social factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Finally, as a result of the T-test and Anova analysis conducted for discriminant analysis, if the p-value was less than .005, the F value for each group was obtained as a result of the ANOVA analysis on the feng-shui factors

이 연구는 1세대 스마트 온실의 재배환경 데이터와 장미 절 화의 품질 특성 데이터를 수집하고 그 요인들 간의 상관 관계 를 분석하여 절화수명 예측 및 최적 환경 조성의 기초 자료를 얻고자 수행되었다. 이를 위해, 토경재배(SC) 및 암면배지경 양액재배(RWH) 하우스 각 1개소를 선정하여 1년간 기온, 상 대습도(RH) 및 수증기압차(VPD), 일적산광량(DLI), 근권온도 등의 환경 데이터와 매월 말 수확된 장미 ‘Miss Holland’ 절 화의 품질 특성 데이터를 수집하였으며, 이 데이터와 절화수 명과의 상관관계를 분석하였다. 절화수명은 10월과 11월을 제외하고는 SC 하우스에서 RWH 하우스보다 더 길었다. 절 화수명과 환경 및 생육 특성 간의 상관관계 분석에서 SC 하우 스의 상관계수는 RWH 하우스보다 조금 더 높았으며, 절화수 명 예측을 위한 요소들도 두 하우스 간에 차이가 있었다. SC 하우스의 절화수명 Y=0.848X1+0.366X2-0.591X3+2.224X4- 0.171X5+0.47X6+0.321X7+9.836X8-110.219(X1-X8: 최고 RH, RH 일교차, DLI, pH, Hunter’s b value, EC, 절화 장, 잎 두께; R2=0.544)로 예측되었고, RWH 하우스의 절화수명 Y=-1.291X1+52.026X2-0.094X3+0.448X4-3.84X5+0.624X6 - 8.528X7+28.45(X1-X7: 경경, 야간 VPD, 최고 근권온도, 최 저 근권온도, 기온 일교차, RH 일교차, 최고 VPD; R2=0.5243) 로 예측되었다. 이 두 모델식으로부터 SC 하우스에서는 RH, EC 및 pH가, 그리고 RWH 하우스에서는 근권 온도가 절화수명에 더 큰 영향을 미친다는 것을 추론할 수 있다. 따라서 각 재배 방법에 따라 장미의 절화수명에 더 큰 영향을 미치는 환경적 요인을 효율적으로 관리할 필요가 있다.

본 연구는 단기소득임산물 중 산림임업통계자료에 의한 생산량과 수요가 증가하고 있는 추세인 약용수 (꾸지뽕나무, 마가목, 헛개나무) 자생지를 대상으로 식물사회학적 방법에 의해 군락을 구분하여 식생 구조를 파악하고 Ordination CCA에 의한 군락구조와 환경요인의 상관관계를 분석하여 산채류 재배지 환경조성에 필요한 생태학적 기초자료를 제공하기 위하여 2021∼ 2022년에 수행되었다. 우리나라 꾸지뽕나무 자생지는 주로 남부지역에 분포하고 5개 지역, 11개 조사구를 대상으로 조사하였고, 마가목 자생지는 주로 고산지역에 분포하고 3개 지역, 8개 조사구를 대상으로 조사하였으며, 헛개나무 자생지는 중부 계곡부에 분포하고 5개 지역, 17개 조사구를 대상으로 조사하였다. 각 분류군의 중요치를 살펴보면, 꾸지뽕나무군락에서 나타난 중요치는 꾸지뽕나무가 61.10으로 가장 높았고 다음으로 팽나무, 곰솔, 새덕이, 때죽나무, 소사나무, 졸참나무, 상수리나무 등의 순으로 나타났고, 마가목군락에서는 신갈나무가 57.21로 가장 높았고 다음으로 마가목 42.58, 사스래나무, 피나무, 당단풍나무, 시닥나무, 층층나무, 함박꽃나무, 주목 등의 순으로 나타났으며, 헛개나무군락에서는 헛개나무가 64.58로 가장 높았고 다음으로 느티나무, 층층나무, 고로쇠나무, 졸참나무, 까치박달, 가래나무 등의 순으로 나타났다. 중요치가 높은 주요 분류군에 대한 흉고직경급을 분석한 결과 꾸지뽕나무군락에서는 꾸지뽕나무, 팽나무, 새덕이 및 소사나무는 어린 개체의 밀도를 높게 나타내고 있어 당분간은 이들 수종의 우점 상태가 계속 증가 될 것으로 보인다. 마가목군락에서 마가목은 역 J자형을 하고 있어 우점 상태가 계속 증가할 것으로 보이며, 신갈나무, 사스래나무 및 피나무는 정규분포형의 밀도를 나타내고 있어 당분간은 이들 수종의 우점 상태가 계속될 것으로 판단된다. 헛개나무군락에서는 까치박달과 가래나무는 역 J자형을 하고 있어 우점 상태가 계속 증가할 것으로 보이며, 헛개나무, 느티나무, 층층나무 및 고로쇠나무는 각 층에서 전체적으로 개체의 밀도가 높아 계속적으로 높은 우점도를 유지할 것으로 예상된다. TWINSPAN에 의해 분류된 3분류군의 30개 군락과 11개의 환경 요인으로 CCA ordination 결과, 해발고가 가장 높은 상관관계를 보였고, 꾸지뽕나무군락은 pH, C.E.C, Ca2+ 및 Mg2+ 는 가장 높고, 해발고는 낮고 남동사면과 남서사면의 경사는 완만하였으며, P2O5는 높은 지역과 낮은 지역에 골고루 분포하였다. 마가목군락은 해발고는 높고, 북사면의 경사는 다소 급하고, O.M과 T-N은 가장 많으나, 그 외 양료들은 적으며, pH는 낮게 나타났다. 헛개나무군락은 북동사면과 북서사면에서 해발고와 경사는 중간 지역이고, P2O5는 높게 나타났다.

중국어에서는 형태변화를 나타내는 표지의 결핍으로 두 개 이상의 품사성을 지닌 많은 ‘겸류사’가 많다. 사실 ‘겸류사’의 탄생은 구문에서 품사의 다기능이 지닌 경계 의 설정에 있었지만, 오히려 ‘양사가 형용사를 수식’하거나 ‘부사가 명사를 수식’하는 비정상적 어법구조를 형성하였다. 본문은 어법화의 각도에서 개사와 조사의 어법화 과정을 ‘기능전환’과 ‘품사전성’이라는 두 가지 각도에서 대비하여 살펴보았고, 본래 품사가 지닌 전형적 ‘범주속성’의 ‘임시전환(游移)’현상에 근거하여 ‘기능전환’에 따른 ‘활용’이라는 방식으로 접근해 보았다. 아울러 “양사가 형용사를 수식한다”는 주장에 대해 기존 ‘명물화(名物化)’ 관점에서 정도성 양범주의 공간화 관점에서 고찰하였으 며, 또 “부사가 명사를 수식한다”는 공간 양범주의 ‘형질화(形質化)’라는 측면에서 양 범주의 정도성을 통해 명사의 윤곽을 해체하는 방식으로 접근해 보았다.

To understand functional changes of forest ecosystems due to climate change, correlation between decomposition rate of leaf litter, an important function of forest ecosystems, and microclimatic factors was analyzed. After 48 months elapsed, percent remaining weight of Quercus mongolica leaf litter was 27.1% in the east aspect and 37.0% in the west aspects. Decay constant of Q. mongolica leaf litter was 0.33 in the east aspect and 0.25 in the west aspect after 48 months elapsed. Initial C/N ratio of Q. mongolica leaf litter was 38.5. After 48 months elapsed, C/N ratio of decomposing Q. mongolica leaf litter decreased to 13.43 in the east aspect and 16.72 in the west aspect. Average air temperature and soil temperature during the investigation period of the research site were 8.2±9.0 and 9.1±9.3 in the east and 8.5±7.4 and 9.3±7.3°C in the west aspect, respectively, with the west aspect showing higher air and soil temperatures. Soil moisture showed no significant difference between east and west aspects (average soil moisture: 19.4±11.0% vs. 20.5±5.7%). However, as a result of analyzing the correlation between decomposition rate and microclimatic factors, it was found that the decomposition rate and soil moisture has a positive correlation (r=0.426) in the east aspect but not in the west aspect. Our study shows that the correlation between decomposition rate and microclimatic factors can be significantly different depending on the direction of the aspect.

Complaints about foul odors are emerging as an issue, and the number of complaints is steadily increasing every year. Biofiltration is known to remove harmful or odorous substances from the atmosphere by using microorganisms, and full-scale biofilters are being installed and operated in various environmental and industrial facilities. In this study, the current status and actual odor removal efficiency of full-scale biofilters installed in publicly owned treatment facilities such as sewage, manure, and livestock manure treatment plants were investigated. In addition, the effects of design and operating factors on their efficiency were also examined. As a result, it was found that odor prevention facilities with less than 30% odor removal efficiency based on complex odors accounted for 40%-50% of the biofilters investigated. In investigating the appropriate level of operating factors on odor removal efficiency, it was found that compliance with the recommended values p lays a significant role in improving odor removal efficiency. In the canonical correlation analysis for the on-site biofilter operation and design data, residence time and humidity were found to be the most critical factors. The on-site biofilter operation and design data were analyzed through canonical correlation analysis, and the residence time and humidity maintenance were found to be the most important factors in the design and operations of the biofilter. Based on these results, it is necessary to improve the odor removal efficiency of on-site biofilters by reviewing the effectiveness of the operation factors, improving devices, and adjusting operating methods.

To test a flameproof enclosure for the safety certificate, a reference pressure of explosion needs to be determined. However, the explosion pressure may be changed according to relative humidity of explosive gases. Therefore, the guideline on relative humidity should be recommended for measuring the explosion pressure for accurate and reproducible testings. This study examined the relationship of explosion pressure with relative humidity of hydrogen (31 vol %)-air and acetylene (14 vol %)-air mixture gases. The explosion pressures were measured by increasing the relative humidity of the gases by 10 % from dry state to 80 % in a cylindrical explosion enclosure of 2.3 L. on ambient temperature and atmospheric pressure (1 atm). The maximum explosive pressures were remained almost constant until the relative humidity reached 10 % for the hydrogen-air mixture and 20 % for the acetylene-air mixture. However, the maximum explosive pressures linearly decreased as the relative humidity increased. Based on the results of the study, it would be recommended to use 10 % relative humidity for the hydrogen-air mixture and 20 % for the acetylene-air mixture as the critical value in testing a flameproof enclosure.

PURPOSES : Local governments in Korea, including Incheon city, have introduced the pavement management system (PMS). However, the verification of the repair time and repair section of roads remains difficult owing to the non-existence of a systematic data acquisition system. Therefore, data refinement is performed using various techniques when analyzing statistical data in diverse fields. In this study, clustering is used to analyze PMS data, and correlation analysis is conducted between pavement performance and influencing factors. METHODS : First, the clustering type was selected. The representative clustering types include K-means, mean shift, and density-based spatial clustering of applications with noise (DBSCAN). In this study, data purification was performed using DBSCAN for clustering. Because of the difficulty in determining a threshold for high-dimensional data, multiple clustering, which is a type of DBSCAN, was applied, and the number of clustering was set up to two. Clustering for the surface distress (SD), rut depth (RD), and international roughness index (IRI) was performed twice using the number of frost days, the highest temperature, and the average temperature, respectively. RESULTS : The clustering result shows that the correlation between the SD and number of frost days improved significantly. The correlation between the maximum temperature factor and precipitation factor, which does not indicate multicollinearity, improved. Meanwhile, the correlation between the RD and highest temperature improved significantly. The correlation between the minimum temperature factor and precipitation factor, which does not exhibit multicollinearity, improved considerably. The correlation between the IRI and average temperature improved as well. The correlation between the low- and high-temperature precipitation factors, which does not indicate multicollinearity, improved. CONCLUSIONS : The result confirms the possibility of applying clustering to refine PMS data and that the correlation among the pavement performance factors improved. However, when applying clustering to PMS data refinement, the limitations must be identified and addressed. Furthermore, clustering may be applicable to the purification of PMS data using AI.

전 세계 각국은 탄소 배출량을 줄이기 위한 다양한 노력을 하고 있다. 지난 수십 년간 몇몇 연구자들은 탄소배출량 을 줄이기 위해서 철근콘크리트 구조에서 철근을 FRP로 대체하기 위한 연구를 수행해 왔다. FRP보강근을 휨부재로 사용하기 위한 연구는 많이 수행되어 왔으나, FRP 보강근 기둥의 성능을 평가하고 설계하기 위한 연구는 거의 이루어지지 않았다. 본 연 구는 FRP보강근 콘크리트 구조 기둥과 철근콘크리트 기둥의 P-M 상관도를 비교하고, 철근콘크리트 기둥에서 철근의 대체재로 서 FRP보강근의 활용 가능성을 제시하였고, 변수는 콘크리트의 압축강도, FRP보강근의 종류, 보강근비이다.철근을 GFRP로 대체 할 경우, 요구 GFRP 보강근의 양은 철근의 4배이며, 철근비가 4% 이상이면 동일한 단면으로는 설계할 수 없다. 편심거리비가 1.0보다 크거나 철근비가 4%보다 작은 철근콘크리트 기둥의 철근을 CFRP로 대체할 경우, 보강근의양을 1/2수준으로 줄이거나 단면 크기를 줄일 수 있다.

This study measured the suspended fungal concentration in indoor multiple facilities nationwide. The regions were selected as representative cities by region: Seoul, Gyeonggi (Incheon), Gangwon, Gwangju, Daejeon, and Busan. A total of 2028 regional comparisons, including department stores, schools, public toilets, libraries, and banks, subway, sports facilities and comparative analysis were conducted for each multi-use facility industry. Among the nationwide, Among the regions, the average concentration of floating mold in indoor multi-use facilities was the lowest in Busan at 394.67 CFU/m3, followed by Gyeonggi and Incheon 487.90 CFU/m3, Seoul 542.84 CFU/m3, Daejeon 809.30 CFU/m3, Gangwon 1,145.22 CFU/m3, Gwangju was 1,371.10 CFU/m3 in the order. Busan was the lowest, and Gangwon was the highest. The reason that Busan, which has a high average temperature and population density, shows a lower mold concentration than Gangwon, is that floating mold in the indoor air is not affected by the external atmospheric environment, population density, and number of facility users. Although it cannot be said that there is no influence of the atmospheric environment, it was found that the indoor environment has different characteristics from the outdoor environment. The importance of air quality management has been confirmed, and further, it is necessary to subdivide the management standards by region and multi-use facilities, and the management standards need to be converted to maintenance rather than recommendations.

본 연구는 병원간호사의 조직몰입 및 관련요인에 대한 선행연구를 체계적으로 고찰하고 메타분석을 시행하고자 한다. 이를 통해 병원간호사의 조직몰입에 대한 연구동향과 유효한 변수를 규명하고자 하 며, 간호사의 조직몰입 향상을 위한 전략 및 중재개발의 기초를 제공하고자 한다. 본 연구는 2008~2018년 발표된 연구에 대한 문헌고찰과 메타상관 분석을 실시하여 병원간호사의 조직몰입과 관 련된 요인들을 분석하였다. PRISMA표를 활용하여 연구에 대한 스크리닝과 질적 평가를 시행하였고, 최종 144개의 논문을 추출하였다. 조직몰입과 관련해서는 45개의 변수가 유의미하게 분류되었으며, Schaufeli’s Energy Compass Model에 따라 이 변수들을 6개 그룹(직무요구, 직무자원, 참여형 리더 십, 개인적 자원, 피고용인의 웰빙, 직무성과)으로 분류하였다. 이들 중 직무요구를 제외한 5개 범주가 조직몰입과 일정 정도의 강한 상관관계를 보였다. 또한, 조직몰입과 긍정적인 직무성과 간에는 강한 정(+)적 상관관계가 발견되었다. 본 연구 결과, 병원간호사의 조직몰입과 직무자원 간에는 상관관계가 존재한다는 것이 규명되었다. 본 연구 결과는 향후 병원간호사의 조직몰입을 높이기 위한 프로그램 개발 및 연구에 기초자료로 활용될 수 있을 것이다

Phosphate coating is applied to the surface of the round bar material used in the multi-stage cold forging process for the purpose of lubrication. The film characteristics are determined according to the conditions of the phosphate film treatment process. In this study, the film properties according to the phosphate treatment conditions were defined as the coefficient of repeated friction and quantitative analysis was performed. Different friction behaviors were exhibited depending on the film properties, suggesting that optimization of the phosphate film treatment conditions is possible based on this. Finally, as a practical example, friction behavior according to the film characteristics was applied to the automotive engine bolt forming process. As a final conclusion, the need for linkage analysis with phosphating conditions for optimizing the forging process was raised. In addition, it can be seen that damage to the phosphate film should be considered in the process of predicting the limiting life of the die.

As modern society has emerged and developed, the subway has established itself as a representative means of transportation in the city due to its speed, accuracy, and accessibility. According to the Indoor Air Quality Management Act, underground stations have established and managed the maintenance and recommendation standards for PM10, PM2.5, CO2, CO, HCHO, NO2, Rn, VOCs However, th the standards for airborne mold has not been applied for subway stations even though management for the health effect of exposure to mold is necessay. In this study, the correlation with major contributing factors was analyzed by measuring the concentration of airborne molds in the indoor air of underground stations and through literature research. It was confirmed that there was a correlation between the concentration of airborne molds in subway stations and the major contributing factors. As a result of the analysis, it was found that the concentration of airborne molds became higher as the location of the platform became deeper underground, during periods of congestion, and especially in summer. There was no significant correlation with the year of construction. Our findings indicate that appropriate management measures should be devised in response to such contributing factors.