뿌리가 작고 근육이 단단하며 채종이 잘 되는 무 계통 ‘원교10045호’ 육성

장하영,박민영,이정수,박수형 한국육종학회 2019 한국육종학회지 Vol.51 No.1

The radish (Raphanus sativus L.) is one of the major vegetables of Korea and is consumed as the main ingredient of kimchi. To improve the texture of radish kimchi, herbs, and soup, we attempted to develop a cultivar with a hard texture. Using species native to Jeju Island, we bred ‘Wonkyo10045ho’ which produces short, elliptically shaped roots with a hard texture. Generation progress was made via the self-fertilization method using bud pollination. We selected individuals with good horticultural characteristics from each of five generations grown from 2006 to 2010. Finally, in 2015, the line was named ‘Wonkyo10045ho’, and the granting of plant variety rights (Grant number 6527) was certified in 2017 following an application for the protection of new plant varieties (application number 2015-398). The root characteristics of ‘Wonkyo10045ho,’ include an oval shape, mixed white and green root skin, and a white inner root color. ‘Wonkyo10045ho’ had a sugar content of 4.9 Brix, with excellent sweetness, good taste, and strong pithiness. The average number of seeds per plant obtained via pollination by bees in a small net house was 609.1, suggesting that the strength of its self-incompatibility was not strong and male sterility might be advantageous. Therefore, it is expected that this variety will be useful as a material for improving the competitiveness of domestic farmers and for stable radish exports.

A Surface Reaction Monitoring of Self-Assembled Monolayer Using Interference-Gated Organic Field-Effect Transistor

장하영,이화성 한국고분자학회 2018 한국고분자학회 학술대회 연구논문 초록집 Vol.43 No.2

시스템 다이내믹스를 이용한 재난관리자원의 동원 및 응원 시뮬레이션 - 제설제를 중심으로 -

장하영,김연수,장대원 (사)위기관리이론과실천 2024 Crisisonomy Vol.20 No.1

In this study, a disaster management resource simulation model between local governments was suggested using the system dynamics methodology. At this time, the subject of analysis was selected as the stockpile of deicing agents for each district in Seoul. Based on statistical data, a scenario was set in which the expected amount of heavy snowfall reached level 3, and the response to heavy snowfall reached level 4 for 5 days in the 11 districts of Seoul. The simulation shows that in areas with heavy snow, the deicing agent stock falls below the minimum by the 4.5th day, and in areas without heavy snow, it happens by the 14.5th day. Additionally, it was estimated that the Seoul Disaster Resource Integrated Management Center required about 2,155 tons of deicing agents. This study is meaningful because it can be used to set the RTO(Recovery Time Objective) for the mobilization and support of deicing agents. Furthermore, it can be used to interconnect disaster management resources by suggesting an appropriate stockpile of deicing agents for the Seoul Disaster Resource Integrated Management Center.

막 재질에 따른 막분리-후오존 연속 공정의 산화효율 비교

장하영,오병수,정연정,최양훈,황태문,강준원 대한환경공학회 2006 대한환경공학회 학술발표논문집 Vol.2006 No.12

Highly Sensitive and Direction-Selective Strain Sensor with Carbon Nanotube Asterisk Structure

장하영,이화성 한국고분자학회 2018 한국고분자학회 학술대회 연구논문 초록집 Vol.43 No.1

Experimental Model for Continuous Drug Administration into Mice

장하영,김희정,김동규,김상균,최우성,안상현,한대용,김충용 한국실험동물학회 2014 한국실험동물학회 학술발표대회 논문집 Vol.2014 No.2

포화증기 기술을 적용한 육류 고령친화식품의 품질특성 및 기호도 연구

장하영,오지은,조미숙 한국식품영양과학회 2024 한국식품영양과학회지 Vol.53 No.2

This study aimed to investigate methods for increasing protein intake among the elderly. Pork and beef samples were treated in saturated vapor ovens, and tenderizing agents, including sodium bicarbonate (NaHCO3), phosphate complex and acetylated distarch adipate in a pineapple pulp solution were added. The results of the physicochemical analysis showed that the addition of increasing amounts of tenderizing agents increased the moisture content and pH values, whereas cooking loss and hardness decreased (P<0.05). A consumer acceptance survey was conducted on 100 participants (over 50 years or older). The results showed that the addition of higher amounts of tenderizing agents caused a decrease in hardness while overall liking scores increased (P<0.001). These results will help us comprehensively understand the preferences of consumers aged 50 years or older regarding softened meat products and their purchasing behaviors -with respect to senior-friendly products. Both the physicochemical analysis and the preference survey showed that the developed tenderizing agent solution softened the hardness of meat and improved its physicochemical properties. Additionally, PT and BT, which were the softest samples, met 2nd stages of standard hardness in the Korean industry. There have been earlier studies of elderly-friendly food products. However, the results of this study show that meat-based elderly-friendly products should be developed to increase the protein intake among the elderly. The results of this study can be utilized as basic data for the development of meat-based senior-friendly food products. 초고령사회를 대비하는 방안으로 섭취와 소화가 용이하도록 원재료의 식감을 부드럽게 가공하는 기술이 각광받고 있다. 고령친화식품 개발 시 식품의 질감을 개선하는 가공과정을 거친다면 고령자가 더 용이하게 단백질을 섭취할 수 있을 것이다. 분석 결과, 포화증기 기술과 효소함침법을 적용할 경우 최종적으로 생산된 고기의 수분함량과 pH값이 증가했으며 경도가 연화된 것으로 나타났다. 특히, 파인애플혼합염지액에 연화 소재를 첨가한 연화소재처리군 PT와 BT의 경우, 전반적인 기호도와 저작 및 연하력 평가항목에서 점수가 높게 나타났다. 연구 결과를 통해 연화 소재의 첨가가 육류의 경도를 연화시키는 데 효과적인 것을 확인할 수 있었으나 공통 비선호 요인으로 나타난 ‘인공적임’, ‘외관’, ‘끈적하다’ 등의 특성 또한 염지액 내 연화 소재로 인한 것으로 유추되어 위와 같은 비기호성 특성에 대한 보완이 필요하다. 또한, 연구 대상자가 마포구에 거주하는 50대 이상 성인으로 한정되었으며 시료 제공 시 소스 및 동반 식품의 미제공으로 시판 제품과의 비교 분석이 이루어지지 않았다. 따라서 폭넓은 고령 연령층을 대상으로 포화증기 기술 및 효소함침법을 적용한 제품과 기존 제품과의 비교 분석하는 연구가 이루어져야 할 것이다.

Surgical Stabilization of Traumatic Medial Luxation of Scapulohumeral Joint and Scapular Fracture in a Dog

장하영,이보라,남궁효선,윤헌영,한현정,김준영,정순욱 한국임상수의학회 2009 한국임상수의학회지 Vol.26 No.3

A 1 year 4 months old, male Poodle was presented with a history of non weight bearing lameness and pain of the right forelimb by trauma. Orthopedic examination and radiographs were revealed medial shoulder luxation and scapular fracture. Biceps tendon was translocated to the lesser tubercle and secured to the humerus. Despite of it could be a potential cause of degenerative change of the joint, a favorable result was achieved for more than 3 years follow-up. 1년 4개월령의 수컷 푸들견이 외상으로 인한 우측 전지의 통증과 들림 파행증으로 내원하였다. 정형 검사와 방사선 검사상에서 내측 견관절 탈구와 견갑골 골절이 확인되었다. 이두근의 힘줄을 작은 결절로 전위시켜 상완골에 고정시켰다. 이 교정은 잠재적인 관절의 퇴행성 변화의 원인이 될 수 있으나 본 환축에서는 3 년 이상의 관찰기간 동 안 좋은 결과를 보였다.

Highly Sensitive and Direction-Selective Strain Sensor with Carbon Nanotube Asterisk Structure

장하영,이화성 한국고분자학회 2017 한국고분자학회 학술대회 연구논문 초록집 Vol.42 No.2

딥러닝 학습에서 최적의 알고리즘과 뉴론수 탐색

장하영,유은경,김혁진,Jang, Ha-Young,You, Eun-Kyung,Kim, Hyeock-Jin 한국디지털정책학회 2022 디지털융복합연구 Vol.20 No.4

딥러닝(Deep Learning)은 퍼셉트론을 기반으로 하고 있으며 현재에는 이미지 인식, 음성 인식, 객체 검출 및 약물 개발 등과 같은 다양한 영역에서 사용되고 있다. 이에 따라 학습 알고리즘이 다양하게 제안되었고 신경망을 구성하는 뉴런수도 연구자마다 많은 차이를 보이고 있다. 본 연구는 현재 대표적으로 사용되고 있는 확률적 경사하강법(SGD), 모멘텀법(Momentum), AdaGrad, RMSProp 및 Adam법의 뉴런수에 따른 학습 특성을 분석하였다. 이를 위하여 1개의 입력층, 3개의 은닉층, 1개의 출력층으로 신경망을 구성하였고 활성화함수는 ReLU, 손실 함수는 교차 엔트로피 오차(CEE)를 적용하였고 실험 데이터셋은 MNIST를 사용하였다. 그 결과 뉴런수는 100~300개, 알고리즘은 Adam, 학습횟수(iteraction)는 200회가 딥러닝 학습에서 가장 효율적일 것으로 결론을 내렸다. 이러한 연구는 향후 새로운 학습 데이터가 주어졌을 경우 개발될 알고리즘과 뉴런수의 기준치에 함의를 제공할 것이다. Deep Learning is based on a perceptron, and is currently being used in various fields such as image recognition, voice recognition, object detection, and drug development. Accordingly, a variety of learning algorithms have been proposed, and the number of neurons constituting a neural network varies greatly among researchers. This study analyzed the learning characteristics according to the number of neurons of the currently used SGD, momentum methods, AdaGrad, RMSProp, and Adam methods. To this end, a neural network was constructed with one input layer, three hidden layers, and one output layer. ReLU was applied to the activation function, cross entropy error (CEE) was applied to the loss function, and MNIST was used for the experimental dataset. As a result, it was concluded that the number of neurons 100-300, the algorithm Adam, and the number of learning (iteraction) 200 would be the most efficient in deep learning learning. This study will provide implications for the algorithm to be developed and the reference value of the number of neurons given new learning data in the future.