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영양제내 아미노산함량과 이들 영양제 살포가 사과의 과실품질에 미치는 영향
박용서,고갑천,김재열 목포대학교 자연자원개발연구소 1998 자연자원연구 Vol.1 No.-
소, 돼재, 닭 뼈국, 생선추출물 및 카루키에 함유되어 있는 아미노산은 각각 14, 12, 14, 13 및 11종으로 나타났고 이들 영양제에 함유되어 있는 아미노산 함량은 2.88-15.10 mg·ml-1였다. 주요 아미노산은 소 뼈국에서 arginine과 proline 이었고 돼지와 닭 뼈국, 생선추출물 및 카루키에서 각각 glutamic acid, arginine, arginine, glycine이었다. '쓰가루'와 '후지'품종에서 소 뼈국과 카루키를 엽면 살포시 과중, 경도, 당도, 산함량 및 풍미에서는 처리간 유의차가 없었으나 안토시아닌함량은 소 뼈국 살포시 유의하게 증가하는 경향을 보였다. 과실 및 잎에서 마그네슘, 카리함량은 처리간 차이가 없었으나 칼슘함량은 카루키 살포시 유의하게 높았다, 소 뼈국 살포는 과실과 잎내 아미노산함량을 증가시켰는데 '쓰가루' 과실에서는 glutamic acid, valine, leucine, phenylalanine 함량이 높았고 '후지'에서는 glutamic acid, 및 arginine 함량이 높았다. 잎에서는 '쓰가루'에서 aspartic acid, proline, methionine, pheny- lalanine 함량이 높았고 '후지'에서는 proline, aspartic acid 함량이 높아지는 경향을 보였다. 사과에서 소 뼈국 엽면살포는 과실내 안토시아닌 및 아미노산함량 증가로 과실의 품질을 향상시켰다. Amino acids contents in the various nutrients, including cattle bones soup (CBS), pig bones soup (PBS), fowl bones soup (FBS), fishes soup (FS) extract from thier animal bones or fishes and Karuki were analysed by HPLC. The CBS, PBS, FBS, FS and Karuki were composed of 14, 12, 14, 13 and 11 kinds of amino acids, respectively, and total contents of amino acids ranged 2.88-15.10 mg, mL. The major amino acids were glutamic acid, arginine, arginine, glycine in the PBS, FBS, Fs and Karuki, while the predominant amino acids were arginine and proline in the CBS. Trees of 'Tsugaru' and 'Fuji'foliar sprayed three times (40, 30 and 20 days before harvest) with PBS and Karuki. Fruit weight, firmness, soluble solids, acidity and sensory value were not affected by CBS or Karuki treatments in both cultivars, but anthocyanin content was highest in CBS among treatments. Cacontents in the fruits and leaves influenced by Karuki treatment, while contents of K, Mg did not change among treatments. Concentration of glutamic acid, valine, leucine, glutamic acid, phenylalnine in the fruit of 'Tsugaru' increased with CBS treatment compared to Karuki or control, but glutamic acid, arginine contents increased in 'Fuji'. Concentration of aspartic acid, proline, methionine, phenylalanine were much higher in CBS than Karuki or controle in the leaves of 'Tsugaru', while contents of proline, aspartic acid were much higher in 'Fuji'. CBS foliar sprayed fruits improved the quality of fruit by enhancing the contents of anthocyanin and increasing amino acids content in apple.
세탁기용 자동변속기(Auto-Transmission)의 이상음 검사용 자동화 프로그램 개발
김재열,김양중,한재호,마상동,김창현 朝鮮大學校 機械技術硏究所 2000 機械技術硏究 Vol.3 No.1
This study includes automatic program for noise inspection of auto-transmission for washing machine one of modern home necessary. We effort to find and certificate sound noise source by sound power and sound intensity, and apply to frequency analysis in vibration related sound noise. Still more we have been studying to data acquisition and programming for MS VisualBasic version 5.0. System component is below. 1) Pentium PC for data acquisition. 2) DSO for noise acquisition. 3) S/W for comparison and decision. 4) I/F Board for data communication. Wave form data through the DSO are converting to ASCII code data. The ASCII code through binary converting S/W are to be decision fitness or the badness comparison S/W. Finally, we will making noise monitoring system and automatic program for inspection system
냉각 Cycle Matching을 위한 핀-관 열교환기의 설계 Program 개발
김재열,마상동,최충현 조선대학교 에너지.자원신기술연구소 1997 에너지·자원신기술연구소 논문지 Vol.19 No.2
The purpose of this study is to develop the optimum design program of air cooled fin-tube heat exchanger. Logarithmic mean temperature difference(LMTD) method which is generally acceptable is used to design the air cooled fin-tube heat exchanger. In the coventional heat exchanger design by LMTD method, heat transfer, overall heat exchanger coefficient, and heat exchanger area are calculated by using the inlet and outlet temperature of heat exchanger. The design for the two phase flow in the tube of heat exchanger can be applied to the design of considers by LMTD method. A performance comparison according to the different refrigerants is provided using R-134a and R-12. As the result of this study, total heat transfer rate of heat exchanger using R-134a were found higher than that of using R-12 for the same operating conditions.
Vector 合成法을 이용한 Booming Noise 低減에 關한 硏究
김재열,유신,오성민,장종훈,김갑중 조선대학교 생산기술연구소 1997 生産技術硏究 Vol.19 No.1
Booming Noise of a Automotive can be divided in Air Borne Noise and Structure Borne Noise. In this study, Booming Noise is reduced by the vector Synthesis method. The vibration that transferred by the engine is managed. The car that by the used model is composed of Mount system supported to three point with 2000 cc 14 engine FR vehicle. The vibration that is transmitted from propeller sharft and Differential Gear to Sub Frame and Suspention effect Booming Noise. but, The vibration that generated by the Mount has Booming Noise more than it. So, We research that sound generated by the Mount and reduce that Booming Noise used the Dynamic Damper. The Booming. Noise by the vector Synthesis. is reduced in 2000 ~ 4000 rpm front of vehicle. We know that Booming Noise is reduced into hoped for rpm by the vector Synthesis.
용접결함의 형상인식을 위한 신경회로망 알고리즘의 성능 비교
김재열,심재기,이동기,김창현,송경석,양동조 한국공작기계학회 2003 한국공작기계학회 추계학술대회논문집 Vol.2003 No.-
In this study, we compared backpropagation neural network(BPNN) with probabilistic neural network(PNN) as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to two algorithm. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of two algorithms and identified application methods of two algorithms.
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.