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Changes in Carbohydrate, Phenolics and Polyamines of Pepper Plants under Elevated-UV-B Radiation (자외선 조사에 의한 고추 유묘의 탄수화물 합성과 항산화물질 변화)

  • Sung, Jwa-Kyung;Lee, Su-Yeon;Park, Jae-Hong;Lee, Sang-Min;Lee, Yong-Hwan;Choi, Du-Hoi;Kim, Tae-Wan;Song, Beom-Heon
    • Korean Journal of Soil Science and Fertilizer
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    • v.41 no.1
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    • pp.38-43
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    • 2008
  • Pepper plants (Capsicum annuum, cv. Manitta) were subjected to different intensities of UV-B radiation to understand alterations of primary- and secondary-metabolism such as carbohydrates, phenolic compounds and polyamines. UV-B doses with a UV-B lamp ($1.2W\;m^{-2}$) were adjusted between 0 to 9 hr. The soluble sugars and starch contents in pepper leaves were highly influenced by UV-B treatment. The soluble sugars altered from $6.7mg\;g^{-1}\;fw$ to $5.2mg\;g^{-1}\;fw$ after 9 hrs of UV-B exposure. The starch contents after 3 hrs of UV-B exposure changed from $17.7mg\;g^{-1}\;fw$ to $12.3mg\;g^{-1}\;fw$ and then remained unchanged. The absorbance of UV-absorbing compounds reached initially maximum at all wavelengths read. On the basis of this result, we analyzed total phenolics, anthocyanin and simple free phenolic acids. Anthocyanin and free phenolic acids responded sensitively with a steady increase during UV-B treatment, although anthocyanin contents declined highly after 3 hrs of treatment. Whereas, there is no alteration of total phenolics (as gallic acid equivalent) caused by UV-B. Free polyamine levels in leaves increased rapidly and highly when UV-B was treated. The most prominent changes in polyamine induction were putrescine and spermidine (+ 70 %) after 3 hrs and spermine (+ 150 %) after 6 hrs.

Struvite Crystallization of Swine Wastewater using Bittern (간수를 이용한 축산폐수의 struvite 결정화)

  • Ryu, Hong-Duck;Kim, Tae-Su;Park, Hyoung-Soon;Lee, Sang-Ill
    • Journal of Korean Society on Water Environment
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    • v.23 no.1
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    • pp.138-143
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    • 2007
  • This study goes in for the observation of the characteristics of nitrogen removal from swine wastewater by struvite crystallization. In addition, the struvite formation potential in supernatants after struvite crystallization was investigated. In the study for nitrogen removal by struvite crystallization, the effects of pH and molar ratio of magnesium (Mg) injected using bittern as Mg source were investigated. Also, the potential of struvite formation in the supernatant with amount of Mg added was carefully observed. As the results, the optimum pH in the removal of nitrogen was 8.8 and sludge volume was increased as pH was raised from 7 to 12 under the condition that the molar ratio of $Mg^{2+}$ to ${NH_4}^+$-N to ${PO_4}^{3-}$-P was 1:1:1. An optimum removal efficiency of ammonia-N was observed at 1 molar ratio of Mg to ${NH_4}^+$-N, showing no further increase at over 1 molar ratio and dramatical deterioration at under 1 molar ratio. However, the sludge volume was increased by increasing the molar ratio of Mg. In the experiments for the potential of struvite formation in the supernatants, initial -log([$Mg^{2+}$][${NH_4}^+$][${PO_4}^{3-}$]) value was much lower than $pK_{sp}$ and gradually reached $pK_{sp}$ at 2 days, as the molar ratio of Mg increased over 1.2. At 31 days, -log([$Mg^{2+}$][${NH_4}^+$][${PO_4}^{3-}$]) value was returned to the initial value. In addition, the supernatants had a potential precipitation of hydroxylapatite due to calcium contained in bittern, $K_2Mg(SO_4)_3$ and $K_3Na(SO_4)_2$ resulting from the decrease of sodium and potassium in supernatants formed after struvite crystallization as times go by. Based on the results, it appears that some retention time and proper dosage of Mg may be needed for the prevention of scale in pipe line.

Effects of Removing of Transparent Polyethylene Film on Garlic Growth, Yield and Weed Occurrence in double Layer mulching Cultivation (이중피복 마늘재배 시 투명P.E.필름 제거가 마늘 생육 및 수량과 잡초 발생에 미치는 영향)

  • Lee, Jae-Sun;Kim, In-Jae;Youn, Cheol-Ku;Ahn, Ki-Su;Kim, Ki-Hyen;Nam, Sang-Yong;Kim, Hong-Sig
    • Korean Journal of Organic Agriculture
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    • v.21 no.3
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    • pp.413-422
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    • 2013
  • This experiment was conducted to clarify the effect of double layer mulching on reducing the labor required to weed control and Leaf sheath training of the garlic cultivation. Six mulching methods(non-mulching, transparent P.E., rice hull+transparent P.E., sawdust+transparent P.E., rice straw+transparent P.E., black P.E. film+ transparent P.E.) were used for the experiment, and transparent P.E film was removed on April 10. Weed occurrence was in the order of black P.E. film< transparent P.E

Recurrent Neural Network Modeling of Etch Tool Data: a Preliminary for Fault Inference via Bayesian Networks

  • Nawaz, Javeria;Arshad, Muhammad Zeeshan;Park, Jin-Su;Shin, Sung-Won;Hong, Sang-Jeen
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.02a
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    • pp.239-240
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    • 2012
  • With advancements in semiconductor device technologies, manufacturing processes are getting more complex and it became more difficult to maintain tighter process control. As the number of processing step increased for fabricating complex chip structure, potential fault inducing factors are prevail and their allowable margins are continuously reduced. Therefore, one of the key to success in semiconductor manufacturing is highly accurate and fast fault detection and classification at each stage to reduce any undesired variation and identify the cause of the fault. Sensors in the equipment are used to monitor the state of the process. The idea is that whenever there is a fault in the process, it appears as some variation in the output from any of the sensors monitoring the process. These sensors may refer to information about pressure, RF power or gas flow and etc. in the equipment. By relating the data from these sensors to the process condition, any abnormality in the process can be identified, but it still holds some degree of certainty. Our hypothesis in this research is to capture the features of equipment condition data from healthy process library. We can use the health data as a reference for upcoming processes and this is made possible by mathematically modeling of the acquired data. In this work we demonstrate the use of recurrent neural network (RNN) has been used. RNN is a dynamic neural network that makes the output as a function of previous inputs. In our case we have etch equipment tool set data, consisting of 22 parameters and 9 runs. This data was first synchronized using the Dynamic Time Warping (DTW) algorithm. The synchronized data from the sensors in the form of time series is then provided to RNN which trains and restructures itself according to the input and then predicts a value, one step ahead in time, which depends on the past values of data. Eight runs of process data were used to train the network, while in order to check the performance of the network, one run was used as a test input. Next, a mean squared error based probability generating function was used to assign probability of fault in each parameter by comparing the predicted and actual values of the data. In the future we will make use of the Bayesian Networks to classify the detected faults. Bayesian Networks use directed acyclic graphs that relate different parameters through their conditional dependencies in order to find inference among them. The relationships between parameters from the data will be used to generate the structure of Bayesian Network and then posterior probability of different faults will be calculated using inference algorithms.

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Process Fault Probability Generation via ARIMA Time Series Modeling of Etch Tool Data

  • Arshad, Muhammad Zeeshan;Nawaz, Javeria;Park, Jin-Su;Shin, Sung-Won;Hong, Sang-Jeen
    • Proceedings of the Korean Vacuum Society Conference
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    • 2012.02a
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    • pp.241-241
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    • 2012
  • Semiconductor industry has been taking the advantage of improvements in process technology in order to maintain reduced device geometries and stringent performance specifications. This results in semiconductor manufacturing processes became hundreds in sequence, it is continuously expected to be increased. This may in turn reduce the yield. With a large amount of investment at stake, this motivates tighter process control and fault diagnosis. The continuous improvement in semiconductor industry demands advancements in process control and monitoring to the same degree. Any fault in the process must be detected and classified with a high degree of precision, and it is desired to be diagnosed if possible. The detected abnormality in the system is then classified to locate the source of the variation. The performance of a fault detection system is directly reflected in the yield. Therefore a highly capable fault detection system is always desirable. In this research, time series modeling of the data from an etch equipment has been investigated for the ultimate purpose of fault diagnosis. The tool data consisted of number of different parameters each being recorded at fixed time points. As the data had been collected for a number of runs, it was not synchronized due to variable delays and offsets in data acquisition system and networks. The data was then synchronized using a variant of Dynamic Time Warping (DTW) algorithm. The AutoRegressive Integrated Moving Average (ARIMA) model was then applied on the synchronized data. The ARIMA model combines both the Autoregressive model and the Moving Average model to relate the present value of the time series to its past values. As the new values of parameters are received from the equipment, the model uses them and the previous ones to provide predictions of one step ahead for each parameter. The statistical comparison of these predictions with the actual values, gives us the each parameter's probability of fault, at each time point and (once a run gets finished) for each run. This work will be extended by applying a suitable probability generating function and combining the probabilities of different parameters using Dempster-Shafer Theory (DST). DST provides a way to combine evidence that is available from different sources and gives a joint degree of belief in a hypothesis. This will give us a combined belief of fault in the process with a high precision.

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진공공정 실시간 측정 기술 개발 동향

  • Sin, Yong-Hyeon;Hong, Seung-Su;Im, In-Tae;Seong, Dae-Jin;Im, Jong-Yeon;Kim, Jin-Tae;Kim, Jeong-Hyeong;Gang, Sang-U;Yun, Ju-Yeong;Yu, Sin-Jae
    • Proceedings of the Korean Vacuum Society Conference
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    • 2011.02a
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    • pp.28-28
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    • 2011
  • 우리나라의 주력산업인 반도체 및 디스플레이의 경우 그 생산 설비의 1/3이상이 진공 장비이며 진공 공정을 통해 만들어진다. 이들 산업 분야에서는 우리나라가 세계 최고의 생산 기술을 가지고 있으므로 자체적인 기술 개발 확보가 중요하다. 최근에는 기존에 개발되어 있는 장비의 성능을 뛰어넘어야 하는 공정 기술력이 요구되면서, 진공 공정 기술 개발이 매우 중요한 이슈가 되었다. 반도체나 디스플레이 산업 등 기존 주력산업의 전후방 산업의 경쟁력 강화 측면에서뿐 아니라 태양전지, LED 등 진공기술을 이용한 신성장 동력 산업의 생산 시스템 경쟁력 확보 측면에서도 진공 공정 기술 개발 중요성은 매우 크다. 지금까지 양산에 적용되는 증착, 식각, 확산 등 진공 공정 운영은, 사전 시험을 통해 얻은 최적 공정의 입력 파라미터들을 정해 놓고 그대로 공정을 진행한 뒤, 생산되어 나오는 제품의 상태를 사후 측정하여 공정 이상 여부를 점검하고 미세 조정하는 형태로 진행되고 있다. 실질적으로 현재 진행 중인 진공 공정에 대한 직접적인 정보가 없으므로 공정 중 발생되는 문제들에 대한 대처는 그 공정이 끝난 후에 이루어지는 상황이다. 공정 미세화 및 대구경화에 따라 기존의 wafer to wafer 제어 개념 보다 발전된 개념으로 센서 기반 실시간 공정 진단 제어 기술의 필요성이 대두되었으며 이를 위한 오류 인식 및 예지기술 (Fault Detection & Classification, FDC) 그리고 이 정보를 이용한 첨단 제어 기술(Advanced Process Control, APC)을 개발하는 노력들이 시작되었다. 한국표준과학연구원에서는 수요기업인 대기업과 장비업체, 센서 개발 중소기업 및 학교 연구소와 공동으로 진공 공정 실시간 측정 진단 제어와 관련된 연구를 하고 있다. 진공 공정 환경측정 기술, 플라즈마 상태 측정 기술, 진공 공정 중 발생하는 오염입자 측정 원천 기술 개발과 이를 구현하기 위한 센서 개발, 화학 증착 소스 및 진공 공정 부품용 소재에 대한 평가 플랫폼 구축, 배기 시스템 진단기술 개발 등 현재 진행되고 있는 기술 개발 내용과 동향을 소개한다. 진공 공정 실시간 측정 기술이 확보되면 차세대 반도체 제작에 필요한 정밀 공정 제어가 가능해지고, 공정 이상에 바로 대응 혹은 예방 할 수 있으며, 여유분으로 필요 이상으로 투입되던 자원(대기시간, 투입 재료, 대체용 장비)을 절감하는 등 생산성을 향상을 기대할 수 있다. 또한 진공 환경에서 이루어지는 박막 증착, 식각 공정 과정에 대한 이해가 높아지고, 공정을 개발하고 최적화하는데 유용한 정보를 제공할 수 있으므로, 기존 장비와 차별화된 경쟁력을 가진 고품위 진공 장비 및 부품 개발에 기여할 수 있을 것으로 기대하고 있다.

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Optimum Transplanting Date for Production Quality Rice in Honam Plain Area (호남평야지에서 고품질 쌀 생산을 위한 적정 이앙시기 구명)

  • Choi Weon-Young;Nam Jeong-Kwon;Kim Sang-Su;Lee Jun-Hee;Kim Jae-Hyun;Park Hong-Kyu;Back Nam-Hyun;Choi Min-Gyu;Kim Chung-Kon;Jung Kwang-Yong
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.50 no.6
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    • pp.435-441
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    • 2005
  • This experiment was conducted to identify the proper time of transplanting at Iksan plain area in Honam area from 2002 to 2004. The rice cultivars tested were Samcheonbyeo, Nampyeongbyeo and Hwaseong­byeo. The results are summarized as follows: The number of spikelets were most when transplanted on May 30 in all maturing types at southern plain. The ripened grain rates vary depending on location and transplanting dates. The proper time of transplanting for both of Samcheonbyeo and Nampyeongbyeo was between May 30 to June 9 and May 30 or later for Hwaseongbyeo. The highest head rice yield was obtained when transplanted on June 9 regard­Bess of the maturing types. The optimum transplanting dates according to maturing types with respect to the yield of head rice, ripened grain rates and the quality for both early and medium type was between May 30 to June 19, for mid-late type between May 30 to June 9.

Antioxidative and Anti-diabetic Activity of C3GHi, Novel Black Rice Breed (Cyanidine-3-glucoside (C3G) 색소의 함유량이 증대된 쌀 신품종(C3GHi)의 항산화 및 항당뇨 활성)

  • Kim, Hwa-Young;Kim, Joong-Hark;Lee, Sung-Ae;Ryu, Su-Noh;Han, Sang-Jun;Hong, Seong-Gil
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.55 no.1
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    • pp.38-46
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    • 2010
  • C3GHi, a novel black rice variety developed by conventional breeding has more high contents of cyanidine-3-glucoside (C3G) and a more strong antioxidant than normal black rice. In this study, we investigate the antioxidative potential and anti-diabetic activity of C3GHi and extract of it for the purpose of development of functional materials or replacement meal for diabetic patients. Using in vitro antioxidative activity assay system such as DPPH radical quenching assay, superoxide anion radical scavenging assay, inhibition of lipid peroxidation and DNA breakage assay, C3GHi extract was observed to have more high antioxidative activity than normal black rice breed. The glycemic index of a freeze dried powder of C3GHi brown rice showed $43.7\pm18.8$, which belonged to low GI food (GI of 55 or less). Using in vivo diabetic model such as db/db mice model and streptozotocininduced diabetic model, C3GHi rice extract decrease blood glucose level and inhibit oxidative stress in blood. From the results, we think that the C3GHi varieties have a potential for the functional materials or ingredient of meal replacement for diabetic patients.

Growth and Yield Variation of Clay-coated Rice Seeds in Direct Seeding Culture on Dry Paddy

  • Choi, Weon-Young;Park, Hong-Kyu;Ku, Bon-IL;Mo, Young-Jun;Choi, Min-Gyu;Kim, Sang-Su;Kim, Chung-Kon
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.53 no.3
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    • pp.292-296
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    • 2008
  • Clay-coated rice seeds (clay-coated seeds A and B) were directly sown on dry paddy and their growth and yield were compared with the normal drill-sown seeds on dry flat paddy. In clay-coated seeds, germination was 1 day earlier and the emergence rate was higher up to 5% than that of normal drill-sown seeds. But the apparent number of seedling stand per $m^2$ was lower than that of normal drill-sown seeds, which is due to the smaller amount of seeding in clay-coated seeds. At the early growth stage, the plant height of clay-coated seeds A was taller than that of drill-sown seeds, while the plant height of clay-coated seeds B was 0.7 cm shorter than that of drill-sown seeds. At the late growth stage, however, the difference was insignificant in both cases. The maximum tillering stage was 10 days earlier in drill-sown seeds. Lodging index was the lowest in clay-coated seeds B and there was no difference between clay-coated seeds A and drill-sown seeds. The ratio of stem base weight, culm diameter and culm wall thickness were higher in clay-coated seeds, while the lower internodes (4th, 5th and 6th) length was shorter in claycoated seeds than in drill-sown seeds. In clay-coated seeds, the number of panicle per $m^2$ was smaller, while the number of spikelet per panicle was a little larger than in drill-sown seeds. The rate of ripened grain and brown rice 1,000 grain weight were lower in the clay-coated seeds, thus the yield was $98{\sim}99%$ level of drill-sown seeds. Considering that the amount of seeding in clay-coated seeds was two-thirds of that in drill-sown seeds, it is expected that clay coating method could become an additional technique for direct seeding cultivation.

Clinical Results of Arthroscopic Biceps Long Head Tenodesis Above the Pectoralis Major Using an Interference Screw (간섭나사를 이용한 관절경적 상완 이두건 대흉근 상부 건 고정술의 임상적 결과)

  • Choi, Sang Su;Kang, Hong Je;Kim, Jeong Woo;Kim, Jong Yun;Kim, Dong Moon;Kim, Kwang Mee
    • Clinics in Shoulder and Elbow
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    • v.16 no.2
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    • pp.94-99
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    • 2013
  • Purpose: The purpose of this study is to evaluate the clinical results of arthroscopic biceps long head suprapectoral tenodesis using an interference screw. Materials and Methods: We reviewed the cases of 30 patients who underwent arthroscopic biceps long head suprapectoral tenodesis using an interference screw between January 2008 and January 2010. The minimum follow up period was one year. Twenty patients had rotator cuff tears. The results were analyzed by VAS, ASES, tenderness in the bicipital groove, fixation failure, and the degree of deformity. Results: VAS, ASES scores showed a statistically significant increase during the final observation in all patients, compared with those before surgery. However, five patients (17%) had anterior shoulder pain and tenderness in the biceps groove, and three patients (10%) had Popeye deformity. Better results were achieved in patients without rotator cuff tear than in patients with rotator cuff tear (p<0.05). Conclusion: Arthroscopic biceps long head tenodesis above the pectoralis major using an interference screw in patients with a pathologic lesion of the proximal biceps tendon showed good results at the last follow up. However, further study for tenderness in the biceps groove in 17% of patients is needed.