밤나무 교잡종 과실의 질적 특성

이욱(Uk Lee),김만조(Mahn-Jo Kim),김선창(Sun-Chang Kim),이문호(Moon-Ho Lee),장용석(Yong-Seok Jang) 한국원예학회 2005 원예과학기술지 Vol.23 No.1

본 연구는 밤나무 교잡종 과실의 조합별 및 개체별 질적특성을 조사함으로써 신품종 육성의 기초 자료뿐만 아니라 품종검정 기준설정의 기초자료로 활용하는데 그 목적이 있다. 과실모양은 11 조합의 많은 개체에서 타원형(85.30%)을 나타냈으며 K×R 등 5조합에서 삼각형(3.78%), R×K 등 8조합에서 원형(5.46%), R×O 등 3조합에서 장타원형(5.46%)으로 각각 관찰되었다. 과피색은 모든 조합에서 암갈색과 적갈색이 각각 49.16%와 38.24%로 관찰되었으며 과피털은 K×R과 R×K만이 과피 전체에서 각각 1개체씩 관찰되었다. 과피털의 밀도는 대부분의 조합에서 92.86%가 중 이상이었으며 좌면의 크기는 E×O, E×R, K×O에서만 중 이상인 것으로 조사되었다. 과실의 광택은 K×O조합에서만 약인 개체가 출현하였으며 열과형태는 모든 조합에서 3가지 형태중 2가지 이상의 형태가 각각 혼재되어 있었다. 양적형질이 우수한 8개체 중 RO-22, RO-25 등 2개체만이 과실모양과 과피색이 각각 장타원형과 암갈색을 나타내었으며 OK-2 제외한 나머지 5개체는 각각 타원형과 적갈색으로 관찰되었다. 과피털의 위치는 OK-2 제외한 모든 개체는 과정부였으며 과피털의 밀도는 IO-15 제외한 모든 개체에서 밀하게 분포하였다. 좌면의 크기는 JO-7과 RO-25 개체가 가장 작았으며 광택은 K×O의 1개체를 제외한 모든 개체에서 중 이상으로 우수하였다. 열과형태는 JO-7과 JO-12, IO-15, OK-15 개체에서 각각 과정부 열과와 주두부 열과 등 각각 단일 형태를 나타낸 반면, OK-2 등 4개체는 과정부 열과와 측면부 열과가 혼재하고 있음을 알 수 있었다. 내피박피성을 조사한 결과, OK-2, OK- 4, OK-15 등 3개체는 내피박피율이 20% 내외로 불량한 반면 RO-25, JO-12 등 2개체의 내피박 피율이 각각 78.6%, 72.4%로 매우 우수한 것으로 나타났다. This study was aimed to applicate as the basic data for the presentation of International Union for the Protection of New Varieties of Plants (UPOV) guideline and for breeding new cultivars through qualitative characteristics of nut in chestnut hybrids. In nut shape, oval type, 85.30%, could be observed in all combinations, and triangle type, 3.78%, in K×R, K×O, E×R, I×R, J×O, and oblong type, 5.46%, in R×O, I×O, E×O, I×R, respectively. Both dark and reddish brown, 49.16% and 38.24%, in nut color were observed in all combinations, and nut pericarp hairs in only K×R, R×K could be observed in whole part. The density of its hair showed above middle rank (92.86%) in most of combinations, and the size of hilum area showed above middle rank in only E×O, K×O and E×R. Ten combinations except K×O showed a good condition in nut luster, and two or three types of three split type could be observed in all combinations, simultaneously. Superior individuals, RO-22 and RO-25, showed oblong and dark brown, but others except OK-2 showed oval and reddish brown in nut shape and nut color, respectively. In position of nut pericarp hair, only OK-2 showed stigma part, but all of superior individuals except IO-15 showed thickness in its density. Only JO-7 and RO-25 were smaller than others in size of hilum area, and JO-7, OK-4, OK-15, RO-22 and RO-25 had nuts with excellent luster. Most of individuals had nuts with two or three types in type of nut split, and JO-7, JO-12, IO-15 and OK-15 showed only single type. In peeling rate, OK-2, OK-4 and OK-15 showed around 20% while RO-25 and JO-12 showed 78.6% and 72.4% being considered as superior individuals for roasted chestnuts.

J-R 곡선에 대한 시편크기의 영향에 관한 연구

조연제,석창성,김영진,양원호,최용식 成均館大學校 科學技術硏究所 1995 論文集 Vol.46 No.1

The objective of this paper is to investigate the constraint effect on fracture resistance curves. A series of fracture toughness tests with different specimen sizes taken from nuclear piping materials(SA312 TP347 SA516 Gr. 70) were performed. Test results show that fracture toughness is increased with increase in specimen size, probably due to the relaxation crack tip constraint. Elastic-plastic finite element analyses were also performed to investigate the constraint effect. Numerical results show that the stress triaxiality at the crack tip is the governing factor for fracture toughness.

永郎 詩語의 계량적 고찰

조창규,한유석 대한언어학회 2001 언어학 Vol.9 No.2

Jo. Changgyoo & Han, Yuseok 2001. A Statistical study on Youngrng's Poetic Diction, the Linguistic association of Korea Journal A 9(2), 139-158. This study airs to investigate the features of Kim, Ycungrang's poetic diction by way of statistical method The corpus is consist of B5 poem, And the size of the corpus is 471D words and 11,969 syllables. The results I get are as follows, (1) The Local color of the poems of Kim, Youngrang is caused by Kangjin dialect which form B,3 percent rather than wads which are related to nature. (2) Youngang use the more adjectives and adverbs as compared with other poets. The effects of this are descriptive, (Doug-shin University)

연마 로봇의 원격 관리를 위한 모니터링 시스템 개발

고석조,이민철,홍창우 한국공작기계학회 2002 한국공작기계학회 춘계학술대회논문집 Vol.2002 No.-

In the previous study, a polishing robot system was developed to automate the polishing process and to cope with the shortage of skilled workers. This polishing robot system has several advantages: reduced time for setting polishing work, decreased labor costs, effective operation, continuous polishing work without an operator, improved machine accuracy, and the ability to polish a free curved surface die. However, still the problem remains that a worker must stay to monitor the polishing process in the poor working conditions for a long time. Nowadays some advanced manufacturing companies need to find a way to check the performance of their production equipments and plants from remote sites. Thus, this study constructed the communication network and developed the monitoring programs (a servo program and a client program) to operate the polishing robot from remote sites. Using these programs, workers are able to monitor and control the polishing robot on the web page, in any place where internet service is possible. To guarantee a stable operation in spite of a variable computer operating environment, the monitoring system is implemented in Java. The experimental results showed that the developed monitoring programs provided a stable communication.

용접결함의 형상인식을 위한 분류기 알고리즘의 성능 비교

김재열,김영석,김창현,양동조,이창선,송경석 한국비파괴검사학회 2003 학술대회 논문집 Vol.- No.1

In this study, we compared backpropagation network(BPNN) with probabilistic neural network(PNN) as the classification algorithm of welding flaws. For this purpose variables are appied the same to two algorithm. Here, feature variable is composed of time signal itself and frequency signal itself. Those are ultrasonic signals reflected on welding flaws. Through this process, we comfirmed advantages/disadvantages of two algorithms, identified application methods of two algorithms to classification methods of welding flaws. These advantages/disadvantages and application methods are based on theoretical backgrounds.

3차원 레이저 진동측정기를 이용한 고속회전 모터의 진동특성 분석

김재열,김창현,송경석,양동조,곽이구,이창선 한국공작기계학회 2003 한국공작기계학회 춘계학술대회논문집 Vol.2003 No.-

Noise cause is dividing to fluid noise by exhaust flow of fan and vibration noise by rotational vibration of motor. Until now, measuring method has been used to measure vibration by the accelerometer, this method has been not measured for the vibration in some parts of brush and commutator because of motor construction. This research was purposed on the accurate analysis, using laser vibration analyzer, of noise cause against the difficult part in old times. By using this measured data, we would like to use for the design of silent motor.

적외선 열화상 카메라를 이용한 열적 결함부 자동 검출 모니터링 시스템 개발

김재열,양동조,한재호,유신,김창현,송경석 한국비파괴검사학회 2004 학술대회 논문집 Vol.- No.-

The most part of various electrics has been affected by thermal failure due to electric overload. Contact-sensor has been used, for detection to this thermal failure, until now. But, it is impossible to detect the unsuitable element by using contact-temperature-sensor. This problem, with development of the infrared thermal vision camera, will be solved. Because it take some advantages which are composed of non-contact detect and non-destructive detect for temperature distribution, it is possible to detect on the temperature of revolution part, high temperature part. We developed the automatic detection monitoring system for thermal failure part on electrics with overload by using the infrared thermal vision camera. The first stage, thermal signal was detected from the infrared thermal vision camera, and then the data that was wanted from user was shown. The second stage, if the temperature that was decided to failure coded to the program, automatically electrics was shut off. This monitoring system is possible to apply on various conveniences in the whole industrial sites.

초음파 검사 기반의 용접결함 분류성능 개선에 관한 연구

김재열,윤성운,김창현,송경석,양동조,--,-- 한국공작기계학회 2004 한국공작기계학회 춘계학술대회논문집 Vol.2004 No.-

In this study, we made a comparative study of backpropagation neural network and probabilistic neural network and bayesian classifier and perceptron as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to four algorithms. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of four algorithms and identified application methods of four algorithms.

초음파 비파괴 검사기법에 의한 용접결함 분류성능 비교

김재열,유신,김창현,송경석,양동조,김유홍 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-

In this study, we made a comparative study of backpropagation neural network and probabilistic neural network and bayesian classifier and perceptron as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to four algorithms. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of four algorithms and identified application methods of four algorithms.

크론병에 대한 CoPPLX의 방어효과에 대한 연구

이호학,김유림,문창기,이재일,양병윤,김종수,이정민,정재혁,안석진,박상준,김윤권,김소연,김영중,조민구,최영자,장성조 圓光大學校 醫科學硏究所 2005 圓光醫科學 Vol.20 No.1