Metal material production process machinery is becoming larger due to the development of industry. Since there are many overseas manufacturers of large machines used in industrial fields, there are limitations in investigating the manufacturer's noise prediction method and measurement method. A noise map was prepared to obtain information necessary for noise reduction and to effectively manage noise companies. It was modeled with the drawings provided to prepare the noise map and the results of the actual measurement of the site. In order to improve the noise environment of workers, there was a noise reduction effect when a soundproof wall was installed between the noise source and the worker's workplace.

Codonopsis lanceolata (S. et Z.) Trautv. is mainly cultivated in Korea and China as a medicinal crop. C. lanceolata is difficult to produce plug seedlings in the summer, because C. lanceolata has a low germination rate and is vulnerable to high temperatures. Cold treatment is effective in breaking dormancy of seeds and increasing the germination rate. Shading cultivation can control the solar irradiance received by plants and reduce the damage by high temperatures and strong light. This study was conducted to examine the appropriate cold treatment period for the improving germination of C. lanceolata, and shading level during the summer seedling period. Cold treatment experiments were conducted for 0 (control), 1, 2, 3, and 4 weeks at 4°C before sowing. In the shading experiment, C. lanceolata was grown for 45 days with 0 (non-treatment), 45, 75% shading levels. Cold treatment for one week significantly improved the germination energy. The plant height, leaf area, and fresh and dry weights of C. lanceolata seedlings were significantly increased under the 45% shading level. Total root length, root surface area, and the number of root tips were significantly higher in shading treatment (45 and 75%) than in non-treatment. The C. lanceolata seedling’s compactness and Dickson’s quality index were the highest at 45% shading level. Therefore, these results recommended sowing C. lanceolata after cold treatment for one week at 4°C, and 45% shading level could stably culture C. lanceolata plug seedlings during the high temperature period.

본 연구는 새만금 간척지와 주산지인 무안에서 재배하였을 때 양파의 생육과 퀘르세틴 등 기능성 성분을 분석하였다. 양파는 중생종 품종인 ‘맵시황’, 중만생 품종인 ‘선파워’, ‘헬시큐’를 사용하였다. 전남 무안에 9월 상순 파종 후 육묘하여 간척지와 무안에 각각 11월 상순에 정식하고 이듬해 6월 초순에 수확하였다. 중만생종 품종인 ‘선파워’와 ‘헬시큐’가 간척지에서 구중 336.5g, 248.3g으로 생육이 우수하였다. 피루브산은 ‘헬시큐’, ‘맵시황’, ‘선파워’ 순으로 높았고 지역 별로는 ‘헬시큐’, ‘맵시황’ 품종이 간척지 재배 시 각각 48.3μmol·g-1, 41.1μmol·g-1으로 무안에서 재배하였을 때보다 높았다. 총 퀘르세틴은 품종 별로 비교하였을 때 ‘헬시큐’가 219.1μg·g-1으로 가장 높았고 ‘선파워’, ‘맵시황’의 순이었으며 재배지역에 따른 차이는 확인되지 않았다. 또한 총 페놀은 총 퀘르세틴 함량과 유사한 경향을 보였으며, ‘헬시큐’의 함량이 853.7μg·mL-1으로 가장 높았고, ‘선파워’는 무안에서 재배할 경우 페놀 함량이 높은 것으로 나타났다. 결과적으로, 피루브산, 총 퀘르세틴, 총 페놀의 함량은 재배지역 보다는 품종에 따른 영향이 큰 것으로 판단되었다.

Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.

This study was conducted to estimate the damage of Whole Crop Corn (WCC; Zea Mays L.) according to abnormal climate using machine learning as the Representative Concentration Pathway (RCP) 4.5 and present the damage through mapping. The collected WCC data was 3,232. The climate data was collected from the Korea Meteorological Administration's meteorological data open portal. The machine learning model used DeepCrossing. The damage was calculated using climate data from the automated synoptic observing system (ASOS, 95 sites) by machine learning. The calculation of damage was the difference between the dry matter yield (DMY)normal and DMYabnormal. The normal climate was set as the 40-year of climate data according to the year of WCC data (1978-2017). The level of abnormal climate by temperature and precipitation was set as RCP 4.5 standard. The DMYnormal ranged from 13,845-19,347 kg/ha. The damage of WCC which was differed depending on the region and level of abnormal climate where abnormal temperature and precipitation occurred. The damage of abnormal temperature in 2050 and 2100 ranged from -263 to 360 and -1,023 to 92 kg/ha, respectively. The damage of abnormal precipitation in 2050 and 2100 was ranged from -17 to 2 and -12 to 2 kg/ha, respectively. The maximum damage was 360 kg/ha that the abnormal temperature in 2050. As the average monthly temperature increases, the DMY of WCC tends to increase. The damage calculated through the RCP 4.5 standard was presented as a mapping using QGIS. Although this study applied the scenario in which greenhouse gas reduction was carried out, additional research needs to be conducted applying an RCP scenario in which greenhouse gas reduction is not performed.

This study aimed to confirm the importance ratio of climate and management variables on production of orchardgrass in Korea (1982―2014). For the climate, the mean temperature in January (MTJ, ℃), lowest temperature in January (LTJ, ℃), growing days 0 to 5 (GD 1, day), growing days 5 to 25 (GD 2, day), Summer depression days (SSD, day), rainfall days (RD, day), accumulated rainfall (AR, mm), and sunshine duration (SD, hr) were considered. For the management, the establishment period (EP, 0―6 years) and number of cutting (NC, 2nd―5th) were measured. The importance ratio on production of orchardgrass was estimated using the neural network model with the perceptron method. It was performed by SPSS 26.0 (IBM Corp., Chicago). As a result, EP was the most important variable (100%), followed by RD (82.0%), AR (79.1%), NC (69.2%), LTJ (66.2%), GD 2 (63.3%), GD 1 (61.6%), SD (58.1%), SSD (50.8%) and MTJ (41.8%). It implies that EP, RD, AR, and NC were more important than others. Since the annual rainfall in Korea is exceed the required amount for the growth and development of orchardgrass, the damage caused by heavy rainfall exceeding the appropriate level could be reduced through drainage management. It means that, when cultivating orchardgrass, factors that can be controlled were relatively important. Although it is difficult to interpret the specific effect of climates on production due to neural networking modeling, in the future, this study is expected to be useful in production prediction and damage estimation by climate change by selecting major factors.

본 연구의 목적은 스마트시티 구축의 핵심인 수소연료전지의 활용형태를 분석하고 해결방안을 제시하는 것이다. 수소연료전지를 활용하는 발전소의 경우 간헐성 문제가 없다는 장점 때문에 향후 가장 유망한 사용 형태로 분석됐다. 다만 많은 장점에도 불구하고 폭발 우려와 특정 수소 생산방식의 경우 이산화탄소 발생 문제 등으로 지역주민들의 반발이 지속적 으로 나타나고 있어 이를 해결하는 것이 스마트시티 구축의 주요 관건이 될 것으로 분석된다. 마지막으로 현재의 수소 생산 방식을 분석하고 이에 따른 문제점을 파악하여 스마트시티의 완전한 구축을 위한 해결책을 제시하였다.

Sensory evaluation of shucking pressure, pressure holding time, seeding method, difference in full shucking rate in the aquaculture area and shucking oyster was performed using an ultra-high pressure oyster shucking machine. The reaching time for each target pressure is 2.2-2.4 MPa/sec in the range of 180 MPa to 240 MPa. had a rate of pressure rise. There was a difference of 0.5-1.7℃ in the range of 24-27℃ in the seawater temperature before and after the pressure treatment inside the pressure vessel, but there was no specific increase or decrease in seawater temperature. When only the shucking pressure is increased without the pressure holding time, the critical shucking pressure at which the oyster shell is opened and the flesh is peeled in the range of 200 to 220 MPa. When the critical shucking pressure is reached, the oyster sample in the closed vessel is expected to be shucked by about 40%. If there is no pressure holding time when judged only by full shucking, an increase in pressure of about 1.5 MPa is required to further shuck 3% of the oyster population. The oyster samples cultivated in the south coast of Korea were subject to full shucking under the conditions of 220 MPa shucking pressure and two minutes (120 seconds) of pressure holding time, and the difference in the pressure of the oysters according to the oyster seeding method and the farming area was minute. Finally, the condition of 220 MPa of shucking pressure and three minutes of pressure holding time was the best at 1.52 when the result of the sensory evaluation performed manually was set to 1.0. Next was 1.4 under the conditions of 220 MPa of shucking pressure and one minute of pressure holding time (60 seconds), and 1.3 under the condition of 220 MPa and two minutes of pressure holding time (120 seconds). Therefore, it is considered that the most desirable shucking conditions, considering the efficiency and sensory evaluation results, are the conditions of 220 MPa shucking pressure and two to three minutes of pressure holding time.

본 연구는 생산 가능인구의 세대별 스포츠 용품 온라인 소비성향을 탐색하고, 스포츠 4.0 시장 의 온라인 소비자를 세분화하여 미래의 소비 시장을 예측하기 위한 기초자료를 제공하고자 했다. 따라서 생산 가능인구의 세대별 집단(Y세대 이상, Z세대) 중 스포츠 용품을 소비한 경험자를 대상으로 본 조사를 실시했으며, 총 478명의 자료를 최종 분석에 적용했다. 자료처리는 SPSS statistics(ver. 21.0)으로 빈도분 석, 탐색적 요인분석, 재검사 신뢰도의 상관관계 분석, 신뢰도 분석, 의사결정 나무 분석을 실시했다. 생산 가능인구의 세대별에 따른 스포츠 용품 온라인 소비성향 탐색결과, 여유, 즐거움, 자아 상징, 가격 요인이 높을 경우와 자아 상징, 기능, 환경 친화 요인이 낮을 경우 Z세대 집단으로 분류될 확률이 크게 나타났으 며, 여유 요인이 낮고, 자아 상징 요인이 높을 경우와 즐거운 요인이 낮고, 연대적 소비 요인이 높을 경우 Y세대 이상 집단으로 분류될 확률이 크게 나타났다. 또한 이와 같은 모형의 분류 정확도는 69.7%로 나타 났다.

In order to apply to high-nickel cathodes for high-capacity and stability enhancement of lithium-ion batteries, the characteristics of the coating film were reviewed using the conventional nickel plating method. The surface morphology of the plating layer and the measurement of the surface roughness were analyzed according to scan size and rate using the contact mode of Atomic Force Microscopy. The hydrogen ion concentration (pH) of the electrolyte played an important role in shaping the metal ion plating. As the overpotential of the surface increased during plating, the crystals grew in a direction other than the main crystal growth direction. The increase in on-time during pulse plating appears to result in coarse particles as much of the applied current is consumed by the reduction of hydrogen ions, resulting in lower current efficiency. From the AFM image, it was confirmed that the blackening of the plated film was due to a partial overvoltage phenomenon during electrolytic degreasing. In order to be used as a high-nickel cathode, it seems that the current must be uniformly distributed on the surface of the substrate during plating.

생물환경조절학회지 30권 3호에 게재된 논문의 그래프를 수정합니다.

본 연구는 헬스케어 식물 생산단지에 대한 일반 시민들의 인식 및 이용행태를 분석하고, 이용 경험자와 미이용자에 대한 중요도, 만족도 분석을 통해 향후 활성화 방안 및 개선 방향을 도출하였다. 이를 위해 선행연구 분석 및 전문가 브레인스토밍을 통해 헬스케어 식물 생산단지의 주요 요소를 도출하였으며, 전국 성인남녀 1,000명을 대상으로 인터넷 조사를 실시하였다. 또한 조사 결과를 토대로 헬스케어 식물 생산단지의 주요 요소에 대한 만족도와 중요도 기준IPA 분석을 실시하였다. 그 결과 헬스케어 식물 생산단지에 대한 인지수준 및 방문률이 높지는 않으나, 환경 인식 측면에서 생활수준의 향상 속에 환경개선이나 건강관리의 중요성이 강조되면서 헬스케어 식물 개념에 대한 공감대가 비교적 높게 형성되어 있기 때문에 기본적인 시장 수요를 가지고 있는 것으로 확인되었다. 이용 경험자와 미이용자 모두 헬스케어 식물 생산단지의 중요도 및 긍정적인 역할에 대해 공감하고 있으며, 이용 경험자 인식 조사 결과 향후 헬스케어 식물 생산단지의 활성화를 위해서는 기본적으로 화훼나 묘목 관리를 우선으로 하며 다양한 친환경 프로그램 및 시설 개발, 이용자 편의 측면에서의 개선이 필요한 것으로 나타났다. 미이용자 인식 조사 결과 시설 이용 시 편의성에 대한 일부 우려가 있으나 향후 의용의향이 충분한 것으로 나타났으며, 관람이나 친환경 체험 등에 대한 기대감이 크기 때문에 전시시설이나 체험 프로그램 개발 및 홍보가 요구된다. 본 연구의 결과는 헬스케어 식물 생산단지 및 기존 화훼 농가의 발전 방향 제시 등의 기초 자료로 활용 될 것으로 기대되며, 향후에는 헬스케어 식물 생산단지의 주요 요소별 시설 도출 및 설계 방안 등의 연구가 수행되어야 할 것이다.