기후 변화의 가속화로 국내 제주 및 남부 지방을 중심으로 열대 및 아열대 작물의 재배 및 소비가 증가하는 추세이다.오크라는 식용적 가치가 있을 뿐만 아니라, 품종별 고유의 꼬 투리와 잎의 색은 관상적 가치가 있어 조경 식물로 많이 사용 되고 있다. 본 연구는 도심 내 옥상 온실에 관상식물인 오크 라를 도입하기 위해 피트모스와 펄라이트 비율에 따른 기초 종자 발아 및 육묘기 실험을 진행하였다. 피트모스와 펄라이 트 비율은 PT:PL=1:2, 1:1, 2:1, 4:1 네 가지로 조성하였다. 발 아율은 파종 후 7일차부터 다른 처리구에 비해 피트모스:펄라 이트=1:2의 처리구에서 가장 높았다. 파종 후 28일차와 70일 차에 줄기길이, 경경, 뿌리길이, 지상부와 지하부의 생체중과 건물중 그리고 엽면적은 피트모스:펄라이트=1:2 처리구에서 가장 높았다. 그러나, 파종 후 56일 이후부터 엽수는 피트모 스:펄라이트=1:2, 2:1, 4:1 처리구에서 감소하였다. 피트모스: 펄라이트=1:1, 2:1, 4:1 처리구에서 식물이 필요로 하는 피트 모스의 비율이 지나치게 높아 높은 피트모스 비율로 인하여 수분함수량이 과도하게 높아 식물이 고사한 것으로 판단된다. 따라서 오크라를 관상식물로 활용하기 위해서는 피트모스와 펄라이트를 1:2로 혼합한 배지가 가장 적합하다.

최근 디지털 의상으로 제품을 만드는 것이 활성화됨에 따라서 삼차원 공간의 컴퓨터 그래픽을 이용하는 게 임엔진을 및 3D Tool로 샘플을 만들기 시작했다. 이러한 트렌드에 따라서 밴드 기업들은 디지털 의류 모델 을 화상 회의 프로그램을 이용하여 협업하기 시작했다. 하지만 화상 회의에서의 원격화면 공유 기능은 각 공유자의 바탕화면 혹은 각 사용자가 사용하고 있는 데스크탑에 보여지는 화면만을 공유하여 발표화면을 보여주는 기능에 그치고 있어 협업작업에서 필요한 사용자 간의 상호작용을 지원하기에는 부족한 점이 있 다. 본 연구에서는 디지털 의상 협업 작업 시 화상 회의를 사용함에 있어서 불편한 점들을 개선하고 회의를 효율적으로 진행하기 위한 Framework를 제작했다. 프레임워크 제작을 위해 Unity3D 게임엔진과 WebRTC 그 리고 Javascript를 사용하였으며, 중계서버 제작을 위하여 클라우드 AWS 서비스를 사용했다. 시연 결과 화상 회의 참여자들은 스크린에 인터랙션을 할 수 있었으며 따로 프로그램을 설치할 필요가 없었다. 그리고 최대 해상도를 1440p까지 높여 기존의 화상 회의에서의 화질을 더 개선할 수 있었다. 해당 시연 결과를 통하여 기존의 다른 화상 회의 앱과 기능들을 비교하여 제안한 Framework의 효용성을 검증했다.

이 연구의 목적은 커피점문점의 공간적 경쟁구도 및 입지우위를 미시적인 공간 해상도에서 탐색하 는 것이다. 분석지역은 인천광역시이며, 분석연도는 2018년이다. 분석방법으로는 공간 빅데이터 기반 의 i2SFCA(Inverted Two-Step Floating Catchment Area)와 Contour Tree 기법을 활용하였다. 분 석결과, 개별 커피전문점의 입지 효율성은 큰 편차를 드러냈으며, 연수3동, 선학동, 도원동 등의 순으 로 우수하였다. 또한, 공시지가가 높은 곳에 입지한 커피전문점 간의 출혈경쟁을 확인할 수 있었다. 마지막으로 역세권이 아닌 지역에서도 커피전문점의 입지 효율성이 높은 지역, 이른바 틈새 지역 (niche region)을 확인할 수 있었다. 커피전문점의 소비행태에 관한 빅데이터의 활용 제약은 본 연구 의 한계와 직결되므로, 소비행태 빅데이터 기반으로 커피전문점의 입지 문제 정교하게 다루는 후속연 구가 필요하다.

This study reports the results of an open-ended questionnaire on the experiences of Korean university students who worked on task-based L2 bimodal collaborative writing enhanced by technology. Thirty-six English major students developed a reading text for 2nd-grade middle school students. Using Microsoft TEAMS as the main platform, participants conducted the collaborative writing task using real-time video conferencing, chatting, commenting, file and image posting, and (a)synchronous feedback/revision functions. Participants 1) used multiple tools to maximize their functions, 2) interacted collaboratively in every writing stage to achieve success, and 3) evaluated the quality of collaborative writing more highly than individual writing and perceived the positive impacts of collaborative writing on L2 writing in audience awareness, paraphrasing technique, and linguistic expressions. The levels of visual editing skills and awareness of online image copyright among students varied.

해양사고 예방을 위해서는 사고의 원인과 결과에 대한 분석 및 진단뿐만 아니라, 사고의 발생 패턴과 변화 추이를 예측함으로 써 정량적 위험도를 제시할 필요성이 있다. 선박교통과 관련된 해양사고 예측은 선박의 충돌위험도 분석 및 항해 경로 탐색 등 선박교통 의 흐름에 관한 연구가 주로 수행되었으며, 해양사고의 발생 패턴에 대한 분석은 전통적인 통계 분석에 따라 제시되었다. 본 연구에서는 해양사고 통계 자료 중 선박교통관련 사고의 월별, 시간대별 발생 현황 데이터를 활용하여 해양사고 발생 예측 모델을 제시하고자 한다. 국내 해양사고 발생 현황 중 월별, 시간대별 데이터 집계가 가능한 1998년부터 2021년까지의 통계자료 중 선박교통 관련 데이터를 분류하 여 정형 시계열 데이터로 변환하였으며, 대표적인 인공지능 모델인 순환 신경망 기반 장단기 기억 신경망을 통하여 예측 모델을 구축하 였다. 검증데이터를 통하여 모델의 성능을 검증한 결과 RMSE는 초기 신경망 모델에서 월별 52.5471, 시간대별 126.5893으로 나타났으며, 관측값으로 신경망 모델을 업데이트한 결과 RMSE는 월별 31.3680, 시간대별 36.3967로 개선되었다. 본 연구에서 제안한 신경망 모델을 기 반으로 다양한 해양사고의 특징 데이터를 학습하여 해양사고 발생 패턴을 예측할 수 있을 것이다. 향후 해양사고 발생 위험의 정량적 제 시와 지역기반의 위험지도 개발 등에 관한 추가 연구가 필요하다.

본 연구에서는 어장환경평가가 수행된 어류가두리 양식장의 조사 결과 중 일부를 대상으로 저서동물지수(Benthic Health Index, BHI)를 이용하여 양식장의 건강도를 평가하였으며, 평가 결과로 산출된 각 등급의 양식장 환경 특성을 파악하였다. 평가대상 어류가두리 양식장은 동해, 서해, 남해에 위치한 43개 양식장으로, BHI 1등급은 8개 양식장, 2등급은 4개 양식장, 3등급은 12개 양식장, 4등급은 19개 양식장이 포함되었다. 1등급 어류가두리양식장은 사질 퇴적상, 양식강도가 낮은 양식장이 포함되었으며, 2등급 어류가두리양식장은 해수 유통이 원활한 해역에 위치한 양식장이 속하였다. 3, 4등급이 속한 어류가두리양식장은 높은 강도로 양식 활동이 진행되고 있는 대다수의 양식장이 포함되었다. 3등급과 4등급의 양식장은 총유기탄소는 큰 차이가 없었으나, 다모류 군집분석의 결과는 4등급의 양식장에서의 유 기물 농축이 더 높은 것으로 나타났다.

Various optical devices are utilized to fire artillery in Korean Army. To transport and store the optical devices, some cases are made up for a set. The covers of cases are made of Glass Fiber Reinforced Plastic(GFRP) and resin. Because of materials of case, it has a disadvantage in productivity for manufacturing covers and assembling components. In this study, ABS resin is presented for alternative and verify possibility through FEM analysis. Comparing with GFRP, max stress-ratio of ABS is decreased 19.6% for bottom, 8.2% for side and 25.4% for edge. Also each strain is changed 17.3%, 180.3% and 17.7%. According to the research results, ABS resin is considered possible for alternative. And the number of components is decreased for around 73.8%.

Due to environmental pollution, regulations on fossil fuels are required. There is a movement for the regulations by using LNG fueled propulsion ships. LNG is an eco-friendly fuel that does not emit NOx or SOx during combustion, but its boiling point is -163°C. Under that condition, the use of metal is restricted, and IMO defined applicable materials through IGC code. Among the metals, 9% nickel steel is one of excellent mechanical properties such as yield strength and tensile strength in cryogenic condition. Thus 9% nickel steel is widely used in cryogenic storage containers for ships. In addition, laser welding, which minimizes thermoelastic distortion by applying a concentrated heat source to a narrow area for a short period of time, is in the spotlight. So, this study is a basic research to predict and respond to thermal distortion during laser welding. Secondary version of the representative heat source model was derived through the author's previous research with STS304L, and the heat source model was derived by applying the heat source model to 9% nickel steel in this study. 9% nickel steel is a material that is in high demand and is widely used in the manufacture of cryogenic containers, so this study is expected to be able to respond immediately to the field.

In this paper, to improve the optical quality of aspherical plastic lenses for mobile use, the optimal molding conditions that can minimize the phase difference are derived using injection molding simulation, design of experiments, and machine learning. First, factors affecting the phase difference were derived using the design of the experiment method, and a data set was created using the derived factors, followed by the machine learning process. After predicting the model trained using the generated training data as test data and verifying it with the performance evaluation index, the model with the best predictive performance was the random forest model. Therefore, to derive the optimal molding conditions, random forests were used to predict 10,000 random pieces of data. As a result of applying the derived optimal molding conditions to the injection molding simulation, the phase difference of the lens could be reduced by 8.2%.

Most of automobile steering parts are manufactured through the multi-stage cold forging process using round-bar drawn materials. The same process is applied to the ball stud parts of the outer ball joint, and various research activities are being carried out to reduce the extreme manufacturing cost in order to survive in the limitless competition. In this paper, we present a quantitative prediction method for the limiting life of the die as a method for cost reduction in the multi-stage cold forging process. The load on the die was minimized by distributing the forming load based on process optimization through finite element analysis. In addition, based on the quantitative prediction algorithm of the limiting life of the die, the application of the split die and the optimization of the phosphate treatment of the material surface are presented as a conclusion as a method to improve the limiting life of the die.

The lattice oxygen mechanism (LOM) is considered one of the promising approaches to overcome the sluggish oxygen evolution reaction (OER), bypassing -OOH* coordination with a high energetic barrier. Activated lattice oxygen can participate in the OER as a reactant and enables O*-O* coupling for direct O2 formation. However, such reaction kinetics inevitably include the generation of oxygen vacancies, which leads to structural degradation, and eventually shortens the lifetime of catalysts. Here, we demonstrate that Se incorporation significantly enhances OER performance and the stability of NiFe (oxy)hydroxide (NiFe) which follows the LOM pathway. In Se introduced NiFe (NiFeSe), Se forms not only metal-Se bonding but also Se-oxygen bonding by replacing oxygen sites and metal sites, respectively. As a result, transition metals show reduced valence states while oxygen shows less reduced valence states (O-/O2 2-) which is a clear evidence of lattice oxygen activation. By virtue of its electronic structure modulation, NiFeSe shows enhanced OER activity and long-term stability with robust active lattice oxygen compared to NiFe.

The study was aimed to investigate the operational meal costs by kindergarten size in Seoul and to analyze recognition for optimal meal prices. A survey (31.6% recovery rate) was conducted on all kindergartens (779 kindergartens) in Seoul on April 2021 using descriptive analysis, t-test, and dispersion method. A price sensitivity measurement (psm) method was used to determine optimal meal prices. Result showed an average food cost for kindergartens of 2,647 won, an average labor cost of 605 won, an average operating cost of 146 won, and the total meal cost of 3,506 won. Total meal cost decreased with increasing kindergarten size (p<0.001). On the other hand, kindergartens with more students decreased the ratio of food cost to total meal cost, and operating cost and labor costs (p<0.001) increased. The optimal price of kindergarten operators' meal cost (OPP) was KRW 3,673. Furthermore, the analysis showed the sensitivity of operators' meal costs to kindergarten size was insignificant.

As cholesterol intake increases, the prevalence of hypercholesterolemia is also increasing. With increasing food selection considering health, consumption of functional foods that can help health is also expected to increase. Ginger is rich in minerals (such as potassium and magnesium) and antioxidants. Antioxidants have been shown to be effective in lowering blood cholesterol levels. Therefore, we would like to produce madeleines helpful for hypercholesterolemia by adding ginger syrup to madeleines recently consumed as desserts. In this study, the quality and characteristics were analyzed after making madeleine by adding ginger syrup at 0%, 5%, 10%, 15%, and 20%. Baking loss was significantly reduced as the addition amount increased (p<0.001). The pH value decreased as the addition amount increased except for the 5% added group (p<0.001). The b value of the chromaticity showed a significant increase from the 5% addition group (p<0.001). Regarding textures, hardness (p=0.006), gumminess (p=0.001), and chewiness (p=0.001) all decreased as the addition amount increased. Regarding antioxidant activity, polyphenol, DPPH, and ABTS values were significantly increased as addition amount increased (p<0.001). Consequently, Madeleine using ginger syrup rich in antioxidants is expected to help health.

신체적, 정신적 건강에 대한 관심이 높아지면서 몸, 마음, 정신의 통합을 목표로 하는 요 가가 생활스포츠의 하나로 자리매김하였다. 최근에는 도구 활용 요가가 신체균형개선, 자세 교정, 통증 완화 등 재활목적으로 활용되고 있다. 도구 활용 요가는 도구를 활용하여 안전 하고 효과적으로 근육을 이완시키거나 강화시켜 신체의 기능을 회복시키는 것을 돕는다. 도구를 활용하면 관절 가동범위를 무리하게 넘어서지 않고, 골격의 위치를 바르게 하며, 정 확하고 안정된 자세를 유지시켜, 자세교정 및 통증완화에 도움을 준다. 사용되는 도구는 볼 스터, 의자, 벨트, 담요, 블록, 라운드 블록, 프레임, 로프 등이다. 본 연구는 현대인들의 근 골격계 질환중 대표적인 거북목 증후군의 특징을 이해하고, 도구 활용 요가를 통해 거북목 증후군을 개선할 수 있는 맞춤형 도구 활용 요가 프로그램의 구성과 원리를 제안하였다.국 문 요약문(10줄 내외) 본 연구의 요약은 연구의 목적과 방법, 결과, 논의와 결론을 정리하며 주제와 개요를 명확하게 파악할 수 있도록 적는다.

본 연구는 산림자원으로 활용 가능한 활엽수림(혼효림 포함)의 상층 교목성 수종을 대상으로 유사한 수종구성을 갖는 산림 유형 분류를 통해 활엽수림의 효율적 산림관리 기반 구축을 위해 실시하였다. 제7차 국가산림자원조사 고정표본점(3,994지점) 중 2,291지점의 임분 현황 자료를 기반으로 클러스터분석, 지표종분석, 다중판별분석 등 다양한 다변량 통계분석 기법을 이용하여 산림 유형을 분류하였다. 활엽수림의 산림 유형은 신갈나무-피나무림, 신갈나무-당단풍나무림, 신갈나무-물푸레나무림, 신갈나무-굴참나무림, 신갈나무-소나무림, 졸참나무-굴참나무림, 소나무-신갈나 무림, 소나무-굴참나무림, 밤나무-아까시나무림, 상수리나무-소나무림 등 10개로 구분되었다. 신갈나무와 기타 활엽수림, 신갈나무가 우점하는 참나무 림, 주요 참나무류 수종과 소나무의 혼효림 형태로 구성된 것으로 파악되었다. 조사된 102종의 수종 중 점유비율이 높은 신갈나무, 굴참나무 및 소나무가 산림유형 분류에 중요한 역할을 한 것으로 나타났다.

This study was conducted to understand the current status of regional health inequalities and nurse supply and demand policies, and to suggest ways to supply nurses to regions where nurses are scarce. Secondary data such as academic papers, government announcements, and related laws were analyzed, and the results were reviewed from various perspectives to derive policy proposals. Health professions were distributed around large cities including Seoul, and those regions had relatively high health levels. However, the number of hospital beds increased steadily, mainly in the non-metropolitan area. This seems to be one of the reasons why there is always a shortage of nurses in the local medical field despite the supply of nurses, and it can be a factor that aggravates regional inequalities. In order to solve the chronic shortage of nurses, supply-oriented policies such as increasing the admission quota and utilizing inactive nurses, and demand-oriented policies such as regulations on the nurse staffing level and improvement of the incentive scheme for quality evaluation of hospital service have been implemented. In the past, the focus was simply on the quantitative expansion of nurses, but recently, policies that emphasize the qualitative aspect of nursing are being promoted. However, the policy for the distribution aspect of nurses is still somewhat incomplete. Therefore, to solve this problem, strengthening the nurse staffing level in medical institutions, promoting nursing policies led by local governments, developing standard wage guidelines, and training nurses as public health personnel were proposed.

The purpose of this study is to understand the concept of zero-waste design and to apply Sophia Vyzoviti’s folding techniques to develop a zero-waste fashion design method that contributes to sustainable fashion design. In this study, we explore the method and characteristics of zero-waste fashion design based on the concept of folding described in Sophia Vyzoviti’s book on folding techniques. Using the autonomy of Sophia Vyzoviti’s folding technique, four changeable folding fashion designs were developed and produced, demonstrating zero-waste fashion design. The results were as follows. First, the development of fashion designs using Sophia Vyzoviti’s folding techniques enabled the development and production of free and creative zero-waste fashion designs that were three-dimensional, continuous, fluid, and full of potential. Second, the production of zero-waste patterns was further developed into a transformable fashion design that can be used with geometric patterns. These folding techniques produced a fashion design method that could transform one piece of clothing, demonstration the potential for maintenance of creativity using a zero-waste design based on these folding techniques. Third, the double-faced fabric, Neoprene, was chosen as an appropriate material as it emphasizes the depth of folding with application of two colors and its cotton/polyester blend that is suitable for folding.

PURPOSES : The purpose of this study was to investigate directions for future smart city transportation policies and service development by evaluating road service satisfaction levels and predicting future service demand. METHODS : A nationwide survey was conducted in Korea to develop a transportation service evaluation system based on the functions and objects of transportation. The satisfaction level of road service was evaluated using an analytic hierarchy process (AHP), promising service sectors were identified using the revised importance-performance analysis (IPA) technique, and detailed service demands by sector were suggested. RESULTS : The most valuable service value felt by the people was "safety" (weight 0.4), and the overall satisfaction level was 68.9 points, slightly exceeding "normal." As a result of analyzing the promising service sectors by dividing them into urban and rural areas, "handicapped, elderly, and pedestrians" were important in both areas, and "road facility maintenance" was classified as an additional promising sector for rural areas. CONCLUSIONS : People demand that future smart city transportation policies and services should be "people" and "safety" centered. In addition, it is necessary to pay attention not only to the development of new services but also to the improvement of problems with existing services and policies.

PURPOSES : A methodology for estimating micro-emission factors using vehicle trajectory data collected from navigation and DTG devices and basic emission factors for each vehicle type of the MOtor Vehicle Emission Simulator (MOVES) is presented. The methodology can calculate micro-emissions based on only the traffic volume and average speed for each vehicle type. METHODS : Cluster analysis was performed by accumulating the trajectories of individual vehicles on a specific road section into speed groups in which vehicles drove with the same range of average speed. Then, the micro-emission factors were estimated for each speed group. RESULTS : Using the vehicle trajectory data revealed that the emissions calculated from micro-emission factors estimated by the proposed methodology were similar to the sum of the emissions calculated from the vehicle trajectories for each vehicle. CONCLUSIONS : The micro-emission factor database for each road type and vehicle type proposed in this study should be useful for estimating vehicle emissions on the road. The proposed method can calculate emissions in the same way as the macroscopic analysis method, using the traffic volume, average speed, and link length.

PURPOSES : The purpose of this study was to develop techniques for forecasting black ice using historical pavement temperature data collected by patrol cars and concurrent atmospheric data provided by the Korea Meteorological Administration. METHODS : To generate baseline data, the physical principle that ice forms when the pavement temperature is negative and lower than the dew-point temperature was exploited. To forecast frost-induced black ice, deep-learning algorithms were created using air, pavement, and dew point temperatures, as well as humidity, wind speed, and the z-value of the historical pavement temperature of the target segment. RESULTS : The suggested forecasting models were evaluated against baseline data generated by the above-mentioned physical principle using pavement temperature and atmospheric data gathered on a national highway in the vicinity of Young-dong in the Chungcheongbukdo province. The accuracies of the forecasting models for the bridge and roadway segments were 94% and 90%, respectively, indicating satisfactory results. CONCLUSIONS : Preventive anti-icing maintenance activities, such as applying anti-icing chemicals or activating road heating systems before roadways are covered with ice (frost), could be possible with the suggested methodologies. As a result, traffic safety on winter roads, especially at night, could be enhanced.