• 한국미생물생명공학회:학술대회논문집
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• 한국미생물생명공학회 1979년도 추계학술대회 심포지움
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• pp.246.1-246
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• 1979

A glucose-limited “pH-stat” continuous culture study of Lactobacillus bulgaricus NLS-4 in an anaerobic condition showed the marked effects of environmental pH on end products, fermentation blances and bioenergetic aspects of the organism. Lactic acid was the major end product of fermentation with minor products, such as acetic acid, formic acid and ethanol throughout the pH range tested. In acidic conditions below pH 6.5, a typi-cal pattern of homofermentation was revealed whereas in alkaline conditions, the metabolic pattern was changed from homofermentation to heterofermentation and led to acquire much energy. This metabolic change was likely due to the pH-dependent lactate dehydrogenase activity. Molar growth yields (Yglc=35.5-44.4) and YATP, $18.5\pm2.5$ in average which was 80％ higher than the value ever postulated seemed to be accounted for less requirement of maintenance energy of the organism in the culture conditions.

• IEIE Transactions on Smart Processing and Computing
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• 제4권4호
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• pp.237-250
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• 2015

This paper describes a hardware-oriented algorithm and its conceptual implementation in a real-time speed limit traffic sign detection system on an automotive-oriented field-programmable gate array (FPGA). It solves the training and color dependence problems found in other research, which saw reduced recognition accuracy under unlearned conditions when color has changed. The algorithm is applicable to various platforms, such as color or grayscale cameras, high-resolution (4K) or low-resolution (VGA) cameras, and high-end or low-end FPGAs. It is also robust under various conditions, such as daytime, night time, and on rainy nights, and is adaptable to various countries' speed limit traffic sign systems. The speed limit traffic sign candidates on each grayscale video frame are detected through two simple computational stages using global luminosity and local pixel direction. Pipeline implementation using results-sharing on overlap, application of a RAM-based shift register, and optimization of scan window sizes results in a small but high-performance implementation. The proposed system matches the processing speed requirement for a 60 fps system. The speed limit traffic sign recognition system achieves better than 98% accuracy in detection and recognition, even under difficult conditions such as rainy nights, and is implementable on the low-end, low-cost Xilinx Zynq automotive Z7020 FPGA.

• International Journal of Oral Biology
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• 제46권3호
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• pp.146-153
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• 2021

Accurate identification of microbes facilitates the prediction, prevention, and treatment of human diseases. To increase the accuracy of microbiome data analysis, a long region of the 16S rRNA is commonly sequenced via paired-end sequencing. In paired-end sequencing, a sufficient length of overlapping region is required for effective joining of the reads, and high-quality sequencing reads are needed at the overlapping region. Trimming sequences at the reads distal to a point where sequencing quality drops below a specific threshold enhance the joining process. In this study, we examined the effect of trimming conditions on the number of reads that remained after quality control and chimera removal in the Illumina paired-end reads of the V3-V4 hypervariable region. We also examined the alpha diversity and taxa assigned by each trimming condition. Optimum quality trimming increased the number of good reads and assigned more number of operational taxonomy units. The pre-analysis trimming step has a great influence on further microbiome analysis, and optimized trimming conditions should be applied for Divisive Amplicon Denoising Algorithm 2 analysis in QIIME2 platform.

• 한국식품과학회지
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• 제33권5호
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• pp.596-602
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• 2001

본 연구는 보리등겨를 이용한 간장의 최적 발효조건을 찾기 위해서 수행되었다. 관능검사는 panel로, 그 외 통계적 처리의 방법 등을 이용하였다. 보리간장의 최적 발효조건은 반응표면분석을 통하여 조사한 결과, 보리간장 맛에 좋고 나쁨에 기여하는 성분으로 짠맛의 예측치는 메주량 15%, 소금량 7%, 초기온도 $24^{\circ}C$, 중기온도 $29^{\circ}C$, 말기온도 $14^{\circ}C$이며, 구수한 맛의 예측치는 메주량 24%, 소금량 13%, 초기온도 $26^{\circ}C$, 중기온도 $25^{\circ}C$, 말기온도 $20^{\circ}C$이며, 쓴맛의 예측치는 메주량 28%, 소금량 18%, 초기온도 $35^{\circ}C$, 중기온도 $10^{\circ}C$, 말기온도 $38^{\circ}C$이었다. 종합적기호도의 예측치는 메주량 15%, 소금량 19%, 초기온도 $30^{\circ}C$, 중기온도 $38^{\circ}C$, 말기온도 $23^{\circ}C$이었다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2002년도 춘계학술대회 논문집
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• pp.209-214
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• 2002

Mechanical micro-engineering is an easy and cheap way to fabricate micro-structures. If the application of the conventional machining method using flat-end mill becomes available for the micro-manufacturing process, it will be advanced as an extension of the conventional machining process. In this study, micro-grooves cutting using flat-end mill(($\phi$8) was performed. The characteristics on flat-end milling was investigated to improve machinability of micro-grooves. The experiments were performed according to variations of spindle revolution, depth of cut, and feed rate. Machinability through various cutting conditions was evaluated by surface geometry, tool wear, and cutting force. The results show that micro V-grooves of width(pitch) 29${\mu}{\textrm}{m}$ were acquired by flat-end milling. The maximum and minimum roughness of the wall of grooves was 438 and 67nm, respectively

• 대한기계학회논문집A
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• 제24권9호
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• pp.2191-2201
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• 2000

End effects due to sectional deformations of thin-walled beams with closed cross section are analysed by a one-dimensional theory. In particular, end effects associated with warping (out of plane m otion) and distortion (in plane motion) are investigated. The exact solutions as a vector form are newly derived to reveal slowly-decaying nature of the end effects in a thin-walled beam loaded by a couple. Several examples of thin-walled beams under various loading conditions indicate that the local end effect zone due to warping and distortion is approximately ten times the typical beam width.

• 한국공작기계학회논문집
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• 제15권6호
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• pp.38-43
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• 2006

A slot cut in end milling processes is one of the laborious works because the cutting force is likely to deflect the tools excessively, then to make large errors or to fracture the tool. This difficulty is owing to the poor stiffness of slender shaped end mills. Though, in most cases, additional finish cuts are followed after rough cuts, the accuracy of rough cuts is still important because it affects the final accuracy after finish cuts and productivity. The accuracy in slot cuts depends on the tool stiffness and the cutting conditions including depth of cut and feed. In order to meet the desired accuracy, diameter of end mill and cutting allowance have to be selected carefully. This study suggests several guidances for selecting the end mill diameter and the slot cut allowance to improve machining accuracy and productivity in slot end millings. Some experiments were done with the various cutting parameters of tool diameter, depth of cut and feed.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1997년도 추계학술대회 논문집
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• pp.196-201
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• 1997

The biggest challenge facing today's manufacturing industry is better quality and high productivit. From an economic point of view, productivity is the most important parameter, as high productivity will reduce the cost. However, the customers of today are not only cost concerned, but also quality conscious. So high accuracy levels should also be achieved in the manufacturing process. The aim of this paper is to get a comprehensive understanding of its machinability properties and to investigate the relationship between cutting conditions and surface roughness for Ball End Mill cutting process so as to enhance its practical application.

• 대한기계학회논문집
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• 제2권1호
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• pp.27-30
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• 1978

Conditions for increasing heat transfer by increasing uniform circular fin length are investigated. When free end of the fin is not thermally insulated, correction fin length, which gives equal heat transfer from an insulated end fin, is given. Optimum design of a uniform circular fin based on the equivalent fin with insulated end is given.

• 사물인터넷융복합논문지
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• 제9권1호
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• pp.65-70
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• 2023

본 논문에서는 비전 센서 기반 시스템의 차선 이탈과 신호등 오인식 등을 개선하기 위해 End to End 모델을 활용한 자율주행 시스템을 제안한다. End to End 학습은 다양한 환경 조건에 대해 확장을 할 수 있다. 비전 센서 기반 모형 자동차를 이용하여 주행 데이터를 수집한다. 수집한 데이터를 이용하여 기존의 데이터와 아웃레이어를 제거한 데이터로 구성한다. 입력 데이터인 카메라 이미지 데이터, 출력 데이터인 속도와 조향 데이터로 클래스를 구성하고 End to End 모델을 활용하여 데이터 학습을 수행하였다. 학습된 모델의 신뢰성을 확인했다. 모형 자동차에 학습한 End to End 모델을 적용하여 이미지 데이터로 조향각을 예측한다. 모형 자동차의 학습 결과, 아웃레이어를 제거한 모델이 기존 모델보다 향상된 것을 볼 수 있다.