In general, the design response spectrum in seismic design codes is based on the mean-plus-one-standard deviation response spectrum to secure high safety. In this study, response spectrum analysis was performed using seismic wave records adopted in domestic horizontal design spectrum development studies, while three response spectra were calculated by combining the mean and standard deviation of the spectra. Seismic wave spectral matching generated seismic wave sets matching each response spectrum. Then, seismic fragility was performed by setting three damage levels using a single-degree-of-freedom system. A correlation analysis was performed using a comparative analysis of the change in the response spectrum and the seismic fragility concerning the three response spectra. Finally, in the case of the response spectrum considering the mean and standard deviation, like the design response spectrum, the earthquake load was relatively high, indicating that conservative design or high safety can be secured.

This study was conducted to determine the optimal irrigation starting point by analyzing tree growth, physiological responses, fruit quality, and productivity in peach orchards. Seven-year-old ‘Kawanakajima Hakuto’ peach trees were used in an experimental field (35°49′30.4″N, 127°01′33.2″E) located within the National Institute of Horticultural and Herbal Science located in Wanju-gun, Jeollabuk-do. The irrigation starting point was set with four levels of –20, –40, –60, and –80 kPa from June to September 2022. While there were no significant differences in increase of trunk cross-section area and leaf area among treatments, shoot length and diameter decreased in the –80 kPa and –20 kPa treatments. The photosynthetic rate measured in August was highest for –60 kPa (17.7 μmol·m-2·s-1), followed by –40 kPa (15.6 μmol·m-2·s-1), –20 kPa (14.5 μmol·m-2·s-1) and –80 kPa (14.0 μmol·m-2·s-1). SPAD value measured in May and August was lower in the –80 kPa and –20 kPa treatments than in the –60 kPa and –40 kPa treatments. The harvest date reached three days earlier in the –20 kPa treatment compared to other treatments. The fruit weight was highest in the –60 kPa (379.1 g), followed by –40 kPa (344.0 g), –80 kPa (321.0 g) and –20 kPa (274.9 g). Firmness was the lowest in the –20 kPa treatment. The soluble solid content was highest in the –60 kPa treatment (13.3°Bx).The ratio of marketable fruits was highest in the –60 kPa treatment (50.7%) and lowest in the –80 kPa treatment (23.4%). In conclusion, we suggest that setting the irrigation starting point at –60 kPa could improve the fruit quality and yield in peach orchards.

Determining the size or area of a plant's leaves is an important factor in predicting plant growth and improving the productivity of indoor farms. In this study, we developed a convolutional neural network (CNN)-based model to accurately predict the length and width of lettuce leaves using photographs of the leaves. A callback function was applied to overcome data limitations and overfitting problems, and K-fold cross-validation was used to improve the generalization ability of the model. In addition, ImageDataGenerator function was used to increase the diversity of training data through data augmentation. To compare model performance, we evaluated pre-trained models such as VGG16, Resnet152, and NASNetMobile. As a result, NASNetMobile showed the highest performance, especially in width prediction, with an R_squared value of 0.9436, and RMSE of 0.5659. In length prediction, the R_squared value was 0.9537, and RMSE of 0.8713. The optimized model adopted the NASNetMobile architecture, the RMSprop optimization tool, the MSE loss functions, and the ELU activation functions. The training time of the model averaged 73 minutes per Epoch, and it took the model an average of 0.29 seconds to process a single lettuce leaf photo. In this study, we developed a CNN-based model to predict the leaf length and leaf width of plants in indoor farms, which is expected to enable rapid and accurate assessment of plant growth status by simply taking images. It is also expected to contribute to increasing the productivity and resource efficiency of farms by taking appropriate agricultural measures such as adjusting nutrient solution in real time.

This study was aimed to determine the changes in CO2 concentration according to the temperatures of daytime and nighttime in the CO2 supplemental greenhouse, and to compare calculated supplementary CO2 concentration during winter and spring cultivation seasons. CO2 concentrations in experimental greenhouses were analyzed by selecting representative days with different average temperatures due to differences in integrated solar radiation at the growth stage of leaf area index (LAI) 2.0 during the winter season of 2022 and 2023 years. The CO2 concentration was 459, 299, 275, and 239 μmol·mol-1, respectively at 1, 2, 3, and 4 p.m. after the CO2 supplementary time (10:00-13:00) under the higher temperature (HT, > 18°C daytime temp. avg. 31.7, 26.8, 23.8, and 22.4°C, respectively), while it was 500, 368, 366, 364 μmol·mol-1, respectively under the lower temperature (LT, < 18°C daytime temp. avg. 22.0, 18.9, 15.0, and 13.7°C, respectively), indicating the CO2 reduction was significantly higher in the HT than that of LT. During the nighttime, the concentration of CO2 gradually increased from 6 p.m. (346 μmol·mol-1) to 3 a.m. (454 μmol·mol-1) in the HT with a rate of 11 μmol·mol-1 per hour (240 tomatoes, leaf area 330m2), while the increase was very lesser under the LT. During the spring season, the CO2 concentration measured just before the start of CO2 fertilization (7:30 a.m.) in the CO2 enrichment greenhouse was 3-4 times higher in the HT (>15°C nighttime temperature avg.) than that of LT (< 15°C nighttime temperature avg.), and the calculated amount of CO2 fertilization on the day was also lower in HT. All the integrated results indicate that CO2 concentrations during the nighttime varies depending on the temperature, and the increased CO2 is a major source of CO2 for photosynthesis after sunrise, and it is necessary to develop a model formula for CO2 supplement considering the nighttime CO2 concentration.

PURPOSES : This study aims to analyze the causes of pedestrian traffic accidents on community roads. METHODS : This study collected variables affecting pedestrian traffic accidents on community roads based on field surveys and analyzed them using negative binomial regression and zero-inflated negative binomial regression models. RESULTS : Model analysis results showed that the negative binomial regression model is more suitable than the zero-inflation negative binomial regression model. Additionally, the segment length (m), pedestrian volume (persons/15 min), traffic volume (numbers/15 min.), the extent of illegal parking, pedestrian-vehicle conflict ratio, and one-way traffic (one: residential, two: commercial) were found to influence pedestrian traffic accidents on community roads. Model fitness indicators, comparing actual values with predicted values, showed an MPB of 1.54, MAD of 2.57, and RMSE of 7.03. CONCLUSIONS : This study quantified the factors contributing to pedestrian traffic accidents on community roads by considering both static and dynamic elements. Instead of uniformly implementing measures, such as pedestrian priority zones and facility improvements on community roads, developing diverse strategies that consider various dynamic factors should be considered.

The occurrence of sudden strike pest events in urban areas is increasing as global warming intensifies, consequently, re causing harmful impacts. Studies on these incidents are fewer in number and insufficient compared to research on other nuisances such as mosquitoes and flies. Therefore, we conducted a study on the development of a selective collection method, using a filter layer to establish a monitoring system for Ephemera orientalis (Ephemeroptera: Ephemeridae), a species frequently identified as a sudden strike pest. Three sampling points were selected along the Hangang River in Namyangju, where E. orientalis outbreaks occur. Prototypes, consisting of four layers and with a light source attached to attract insects, were installed at each sampling point. Sampling was performed every 30 minutes between 19:00 and 22:30 in the month of June. The filter interval of each layer was adjusted so that the collected mayflies were distributed into specific layers. To evaluate the collection efficiency in line with the materials and the filter intervals, the optimal collection efficiency was investigated by combining two types of layer materials (stainless and acrylic) and filter intervals (1-5 mm). The optimal conditions were as follows: The selective collection efficiency was found to be highest at 96.5% when the interval of the selective target filter was 2.0 mm and there was one upper filter.

본 연구에서는 소형선박용 중·고속 디젤엔진에 적용하여 연구 중인 SCR+DPF 기술을 저속엔진이 설치된 선박에 탑재하여 해상 실증 시험을 수행하였다. 대상 선박(총 톤수 2,881 톤, 정격출력 1,470kW@240rpm ×1)은 국내 연해를 운항하는 일반화물선으로 배출저감설 비의 선박 탑재를 위해 도면 개발, 승인 및 선박 임시검사를 수행하였다. 저감성능 확인을 위해서 가스상물질 측정장비는 NOx technical code 및 ISO-8178의 분석방법을 준용하는 장비를 사용하였으며, 입자상물질 측정장비는 국제해사기구(IMO)에서 논의하고 있는 블랙카본 측정 방법 중 하나인 스모크미터를 사용하였다. 시험은 황 함유량 따라 MGO(0.043%), LSFO(0.42%) 2종의 연료를 사용하였으며 실제 운항 하는 엔진회전수(130, 160 및 180 rpm)를 고려하여 시험 조건을 설정하였다. 시험 조건에 따라 배출저감설비의 전·후단에서 가스상 및 입 자상(매연) 물질을 측정하여 배출저감설비의 저감효율을 확인하였으며 모든 시험 조건에서 NOx의 경우 90% 이상, 입자상물질(매연)의 경우 95% 이상의 저감효율을 확인하였고 엔진 성능의 영향을 줄 수 있는 배기가스 압력은 허용배압 기준인 50mbar 이하를 만족하였다. 본 연구를 통해 해상실증 연구의 중요성과 중소형 저속엔진 선박의 질소산화물 및 입자상물질의 동시 저감을 위한 대응 기술로 SCR+DPF 설비 적용 가능성을 확인할 수 있었다.

남해 금산을 방위, 지형, 해발고, 접근성 등을 고려하여 7구간으로 나누어 식물상을 조사한 결과 관속식물은 117과 373속 602종 5아종 72변종 14품종 693분류이 출현하였다. 이 중에서 양치식물은 11과 24속 45종 1변종의 46분류군, 나자식물은 4과 6속 12종 3변종 15분류군, 피자식물은 102과 343속 545종 5아종 68변종 14품종으로 632분류군이 출현하였다. 산림청에서 지정한 희귀식물은 18과 18속 20종 1변종 21분류군이 출현하였 다. CR등급은 물부추, 자주땅귀개, 칠보치마, 석곡 등의 6분류군, EN등급은 대흥란, VU등급은 끈끈이주걱, 애기등, 땅귀개 등의 4분류군, LC등급은 고란초, 개족도리풀, 히어리 등의 8분류군, DD등급은 단풍박쥐나무와 토현삼 등이 출현하였다. 한국특산식물은 14과 17속 17종 1변종 18분류군이 출현하였다. 식물구계학적 특정식물 58과 91속 102종 1아종 4변종 107분류군으로, Ⅴ등급은 물부추, 애기등, 칠보치마 등의 11분류군, Ⅳ등급은 끈끈이주걱, 히어리, 긴오이풀 등의 11분류군, Ⅲ등급은 바위손, 큰지네고사리, 토현삼 등의 23분류군, Ⅱ등급은 속새, 고란초, 다정큼나무 등의 13분류군, Ⅰ등급은 실고사리, 발풀고사리, 나래회나무 등의 49분류군으로 출현하였다. 외래식물은 28과 55속 64종 1아종 65분류이 출현하였고, 도시화 지수는 11.2%, 귀화율은 6.1%로 나타났다. 이는 우리나라 평균 귀화율 10.3%보다 낮게 출현하였다.

The consumption of ready-to-eat side dishes is rapidly growing in South Korea. These foods are particularly vulnerable to microbiological contamination as they are often cooked without any treatment, such as heating or stored at room temperature after cooking. Hence, in 2022, we analyzed the ready-to-eat side dishes sold in Gyeongsangnam-do, South Korea for microbiological contamination. We collected 100 samples from supermarkets in 7 cities, and then examined them for presence of food-borne pathogens and sanitary indicator bacteria. In the analysis of the food-borne pathogens, Bacillus cereus and Clostridium perfringens were isolated from 51 samples (51.0%) and 3 samples (3.0%), respectively. However, both quantitatively met the Korean Food Standards Codex. Genes of five different enterotoxins and one emetic toxin were analyzed from the 51 isolated B. cereus strains. We detected enterotoxin entFM (100.0%), nheA (94.1%), hblC (58.8%), cytK (56.9%), and bceT (41.2%) in 51 isolates, and emetic toxin gene, CER, in only one (2.0%) isolate. We did not detect C. perfringens toxin gene (cpe) that causes food poisoning in any one of the three C. perfringens isolates. In the case of sanitary indicator bacteria, Kimchi had the highest levels of total aerobic bacteria and coliforms, followed by Saengchae, Jeotgal, Jeolim, Namul, and Jorim, respectively. We counted total aerobic bacteria at two different storage temperatures (4oC and 20oC) to determine the effect of storage temperature. When stored at 20oC, total aerobic bacteria count increased in most of the ready-to-eat side dishes, except for Jeotgal. This result conclusively shows the need for refrigerating the ready-to-eat side dishes after purchase. Further research is needed to assess the risk and safety of the ready-to-eat side dishes available in the market and determine appropriate safety management practices.

본 연구는 상사의 코칭리더십이 심리적임파워먼트와 직무열의를 통하여 혁신 행동에 미치는 구조적 경로를 검증하고자 하였다. 이를 위해 국내 300명 이상 기업에 근무하는 종업원을 대상으로 자료를 수집하고, 구조방정식을 활용하여 연구가설을 검증하였다. 연구결과, 코칭리더십은 혁신행동, 심리적 임파워먼트, 직무열의에 정(+)의 영향을 미치는 것으로 나타났다. 또한 심리적 임파워먼트는 혁신행동과 직무열 의에 정(+)의 영향을 미치며, 직무열의는 혁신행동에 정(+)의 영향을 미치는 것 으로 나타났다. 그리고 코칭리더십과 혁신행동 간의 관계에서 심리적 임파워먼 트와 직무열의는 부분적으로 매개적 영향을 미치는 것으로 나타났다. 본 연구의 결과에 따른 시사점으로, 본 연구는 상사의 코칭리더십이 심리적 임파워먼트와 직무열의를 통해서 혁신행동으로 이어지는 경로를 검증하여, 코 칭리더십으로부터 조직구성원의 혁신적 행동변화를 설명하는 메카니즘을 제시 하였다. 본 연구를 통하여 상사의 코칭리더십이 조직 구성원의 심리적인 변화를 통해 혁신행동으로 이어진다는 동기부여 측면의 매커니즘을 규명하여, 기업의 리더들이 코치형 리더로 육성되어야 조직구성원들의 혁신행동을 촉진할 필요성 을 제시한다고 이해할 수 있다.

In this paper, we introduce the result of the locker of the safety helmet to protect the user’s life from accidents of personal mobility, i.e. electrical-scooter, electrical bicycle and kick-board. Through Arduino kit which is the one of common open source computing platform, electric circuit and equipment to fulfil the functions of the locker of the safety helmet is designed and made. Especially the functions which are protected from the damage of humidity and sterilization of bacteria will be automatically operated in locker by Arduino board and bluetooth module with various sensors. The dimension of the locker is designed using CATIA program and made with ABS(Acrylonitrile Butadiene Styrene) resin to keep and lock the helmet.

2017년 지진에서 다수의 필로티형 건물에 손상이 발생함에 따라 필로티형 건물의 내진성능 평가의 중요성이 대두되 었다. BST면의 활용과 검증은 여러 연구자들에 의해 이미 수행되었다. BST면을 활용하여 필로티형 건물의 횡저항성능을 파악 할 수 있다면, 필로티형 건물의 초기 계획 또는 내진보강 계획 시 횡력저항 시스템을 배치하는데 도움이 될 것이다. 이에 본 연 구에서는 필로티형 건물에 BST면의 적용가능성을 파악한 후, 실제 지진피해를 입은 필로티형 건물의 보강 전과 후의 BST면을 비교하여 횡저항성능을 파악하였다. 그 결과 손상된 필로티형 건물을 보강함에 있어 보강된 평면의 BST면과 밑면 전단력에 대 한 비틀림 모멘트의 비를 기울기로 하는 거동 분석을 통해 필로티형 건물의 횡저항성능을 파악함으로써 보다 효과적인 보강방 안을 제시할 수 있었다.

어류의 번식은 뇌에서 분비되는 다양한 신경호르몬과 뇌하수체에서 분비되는 생식소 자극 호 르몬에 의해 조절된다. 극동산 뱀장어(Anguilla japonica)의 번식도 이 호르몬들의 작용에 의해 조절되지만 성 성숙 시 신경호르몬이 뇌하수체 호르몬을 조절하는 방법은 완전히 밝혀지지 않 았다. 이전 연구에 의하면 progesterone (P4), melatonin 및 serotonin (5-HT) 등과 같은 신경호 르몬이 일부 어류의 번식 과정 조절에 관여하는 것으로 밝혀졌다. 본 연구에서는 뱀장어의 뇌 하수체를 초대 배양하였고, 안정화된 뇌하수체 세포에 P4, 17β-estradiol (E2), melatonin 및 5- HT를 처리하였다. 이후 처리된 호르몬의 작용이 뇌하수체 세포에서 번식 관련 호르몬인 FSHβ, LHβ, GH 및 SL mRNA 발현에 어떤 영향을 미치는지 조사하였다. 본 연구를 수행한 결과, P4는 뇌하수체 세포에서 FSHβ와 LHβ 발현을 증가시켰고, melatonin은 FSHβ와 LHβ 뿐만 아니라 GH 와 SL의 발현을 증가시켰다. 하지만 5-HT는 이 유전자의 mRNA 발현에 유의한 영향을 미치지 않았다. 이상의 결과는 P4 또는 melatonin이 뱀장어의 초기 성 성숙에 중요한 역할을 할 수 있음을 의미한다.