• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.528-538
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• 1996

A magent console is critical element since its homogeneity is essential to the performance of a nuclear magnetic resonance (NMR) based sensor. Geometry and properties of magnet materials determine the magnetic flux density and homogeneity of the console. This study is carried out to develop a design scheme of the magnet console using ANSYS to reduce the design error of the magnet console compared . To enhance the performance of the magnet console, corner steel was proposed and validated by simulation and manufactured one. The corner steel increased the magnetic flux density (B) by about 1% and enhanced homogeneity by approximately 3 times. There was about 3% difference between simulated and measured B values.

• 전자공학회논문지C
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• 제35C권10호
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• pp.1-11
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• 1998

본 논문은 핵자기 공명신호를 검출하기 위하여 자석상자 내에 한 개의 코일을 가진 펄스방식의 핵자기 공명장치에 대한 새로운 구현방법에 관한 것이다. 수소 원자핵의 Larmor 주파수가 5MHz가 되도록 설계된 자석상자에 5MHz 고주파 자기장을 인가하여 자석상자 내에 투입된 글리세린 시료로부터 수소 원자핵의 공명신호를 얻었다. 자석상자 내의 정자기장은 자기장의 세기가 1168 gauss인 영구자석을 사용하여 만들었으며, 고주파 자기장은 5MHz의 주파수를 가지며 전류의 크기가 8A인 고주파 신호를 5.73μH의 코일에 인가하여 발생시켰다. 고주파 자기장의 발생시간을 2.8μsec로 하였을 때 핵자기 공명신호는 최대 크기로 나타났으며, 반복 검출을 하기 위하여 고주파 자기장의 발생주기를 100msec로 설계하였다. 시료에서 발산되어 자석상자 내의 코일에 감지되는 핵자기 공명신호는 Larmor 주파수와 같은 주파수를 가지는 신호가 진폭변조된 형태로 나타났다. 코일에 감지된 신호를 송수신 분리회로와 전치증폭기 및 중간증폭기에서 각각 20.7dB, 36dB 및 40dB로 증폭하고 동기검파회로에서 검파하여 핵자기 공명신호를 얻었다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1997년도 동계 학술대회 논문집
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• pp.355-361
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• 1997

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 학술발표대회 논문집
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• pp.80-84
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• 1996

• Journal of Biosystems Engineering
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• 제21권3호
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• pp.336-342
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• 1996

A 4.1MHz$1^H$ Nuclear Magnetic Resonance(NMR) sensor was designed and manufactured to evaluate the internal quality of fruits. The magnet console having 963gauss magnetic field induction was used for the NMR sensor. To optimize and evaluate the NMR sensor, glycerol and sugar-water solutions were used. $^1$H(proton) resonance signals were used to estimate the sugar contents in fruits. Artificial neural network models were developed to predict sugar contents in fruits from the proton resonance signals. The standard errors of prediction(SEP) were 0.565(apple), 0.394(pear) and 0.415(kiwi), respectively. The result implied that it was possible to evaluate apple, pear and kiwi into 3 grades using the NMR sensor.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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• pp.305-312
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• 1996

A 4.1MHz 1H Nuclear Magnetic Resonance (NMR) sensor was designed and manufactured to evaluate the internal quality of fruit. The magnet console having 963 gauss magnetic field induction was used for the NMR sensor. To optimize evaluate the NMR sensor, glycerol and sugar-water solutions were used. 1H(proton) resonance signals were use of to estimate the sugar contents in fruits the proton resonance signals and were validated . The standard errors of predictions(SEP) were 0.565(apple) , 0.394(pear) and 0.415(kiwi) respectively. The result implied that is possible to evaluate apple , pear and kiwi into 3 grades using the NMR sensor.