• 제목/요약/키워드: BRF

검색결과 25건 처리시간 0.023초

흑미가루를 첨가한 밀가루 반죽의 물리적 특성 (Rheological Properties of Dough Added with Black Rice Flour)

  • 정동식;은종방
    • 한국식품과학회지
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    • 제35권1호
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    • pp.38-43
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    • 2003
  • 흑미가루 첨가비율 증가에 따른 반죽의 물리적인 특성을 조사한 결과 흑미가루 첨가량을 증가시켰을 때 회분 함량은 증가하였고 단백질 함량과 gluten 함량은 감소하였다. farino-graph는 흑미가루 첨가량이 증가함에 따라 흡수율, 안정도, 반죽형성시간, 탄력도 및 v/v(valorimeter value)값은 감소하였고 약화도는 증가하여 반죽 시간 및 반죽의 탄력성과 신장성이 감소하였다. Amylograph는 호화개시온도, 최고점도에서의 온도는 낮았으나 최고점도 및 $94^{\circ}C$에서의 점도의 감소로 제빵시 ${\alpha}-amylase$의 활성을 높임으로써 발효능력의 향상을 가져왔다. Extensograph는 신장도, 신장저항도 및 에너지는 감소하였으나 R/E비는 높아짐으로써 제빵성은 흑미가루 첨가량이 증가할수록 낮아졌다. 상기 실험결과 farinograph와 amylograph, extensograph의 측정은 밀가루 중에 함유된 gluten의 신장성 및 신장저항성의 특성, 발효에 따른 발효력 및 가스포집력을 종합한 제빵 특성을 나타내므로 흑미가루가 혼합된 혼합분의 경우 밀가루 100% 시료보다는 단백질 함량의 저하로 제빵 특성치가 낮게 나타나 제빵 특성에 영향을 주므로 단백질원인 활성글루텐이나 산화제 등의 첨가로 반죽의 물성 개선에 관한 실험과 제빵 품질 특성에 대한 실험이 계속 필요하리라 생각된다.

A study on analysis to time series data by using vegetation surface roughness index

  • Konda, Asako;Kajiwara, Koji;Honda, Yoshiaki
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.706-708
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    • 2003
  • Index for difference of vegetation surface roughness (BSI: Bi-directional reflectance factor structure Index) was proposed in our laboratory (Konda et al., 2000). It is thought that BSI is useful vegetation index for vegetation monitoring. If it can be applied for global covered satellite data, detailed monitoring of global vegetation can be expected. However, in order to apply BSI to global satellite data, there are some problems to be solved. In this study, in order to make global data set of BSI, it arranged about processing of the global satellite data for making BSI data sets.

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Radial Basis Function Networks를 이용한 이중 임계값 방식의 음성구간 검출기 (Voice Activity Detection Algorithm base on Radial Basis Function Networks with Dual Threshold)

  • 김홍익;박승권
    • 한국통신학회논문지
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    • 제29권12C호
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    • pp.1660-1668
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    • 2004
  • 본 논문에서는 간단한 구조, 적은 계산량과 안정된 빠른 수렴속도를 가진 RBF (Radial Basis Function) 신경회로망을 이용한 이중 임계값 방식의 음성구간 검출기 알고리즘을 제안하고 시뮬레이션을 통해 유용성을 확인하였다. 음성압축기에 사용되는 CELP (Code-Excited Linear Prediction) 파라미터들을 신경회로망 입력으로 하여 잡음에 강하게 반응하게 하였고, 음성구간 검출기의 성능향상을 위해 음성구간과 침묵구간에서 다른 임계값을 사용하는 이중 임계값 방식을 적용하였다. 실험 결과 이중 임계값을 이용한 RBF 신경망 음성구간 검출기는 G.729 Annex B 음성구간 검출기 보다 우수한 성능을 보였고, 기존의 MLP (Multi Layer Perceptron) 신경회로망을 이용한 음성구간 검출기와 비교하여 음성구간에서는 비슷한 성능을 보였으나 침묵구간에서 25% 정도의 성능향상을 보였다.

동적전압보상기의 전압제어를 위한 PLL 방식의 개선 (Improvement of PLL Method for Voltage Control of Dynamic Voltage Restorer)

  • 김병섭;최종우
    • 전기학회논문지
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    • 제58권5호
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    • pp.936-943
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    • 2009
  • Dynamic voltage restorer(DVR) is now more preferable enhancement than other power quality enhancement in industry to reduce the impact of voltage faults, especially voltage sags to sensitive loads. The main controllers for DVR consists of PLL(phase locked loop), compensation voltage calculator and voltage compensator. PLL detects the voltage faults and phase. Compensation voltage calculator calculates the reference voltage from the source voltage and phase. With calculated compensation voltage from PLL, voltage compensator restores the source voltage. If PLL detect ideal phase, compensation voltage calculator calculates ideal compensation voltage. Therefore, PLL for DVR is very important. This paper proposes the new method of PLL in DVR. First, the power circuit of DVR system is analyzed in order to compensate the voltage sags. Based on the analysis, new PLL for improving transient response of DVR is proposed. The proposed method uses band rejection filter(BRF) at q-axis in synchronous flame. In order to calculate compensation voltage in commercial instruments, the PQR theory is used. Proposed PLL method is demonstrated through simulation using Matlab-Simulink and experiment, and by checking load voltage, confirms operation of the DVR

Risk Factor Analysis of Cryopreserved Autologous Bone Flap Resorption in Adult Patients Undergoing Cranioplasty with Volumetry Measurement Using Conventional Statistics and Machine-Learning Technique

  • Yohan Son;Jaewoo Chung
    • Journal of Korean Neurosurgical Society
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    • 제67권1호
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    • pp.103-114
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    • 2024
  • Objective : Decompressive craniectomy (DC) with duroplasty is one of the common surgical treatments for life-threatening increased intracranial pressure (ICP). Once ICP is controlled, cranioplasty (CP) with reinsertion of the cryopreserved autologous bone flap or a synthetic implant is considered for protection and esthetics. Although with the risk of autologous bone flap resorption (BFR), cryopreserved autologous bone flap for CP is one of the important material due to its cost effectiveness. In this article, we performed conventional statistical analysis and the machine learning technique understand the risk factors for BFR. Methods : Patients aged >18 years who underwent autologous bone CP between January 2015 and December 2021 were reviewed. Demographic data, medical records, and volumetric measurements of the autologous bone flap volume from 94 patients were collected. BFR was defined with absolute quantitative method (BFR-A) and relative quantitative method (BFR%). Conventional statistical analysis and random forest with hyper-ensemble approach (RF with HEA) was performed. And overlapped partial dependence plots (PDP) were generated. Results : Conventional statistical analysis showed that only the initial autologous bone flap volume was statistically significant on BFR-A. RF with HEA showed that the initial autologous bone flap volume, interval between DC and CP, and bone quality were the factors with most contribution to BFR-A, while, trauma, bone quality, and initial autologous bone flap volume were the factors with most contribution to BFR%. Overlapped PDPs of the initial autologous bone flap volume on the BRF-A crossed at approximately 60 mL, and a relatively clear separation was found between the non-BFR and BFR groups. Therefore, the initial autologous bone flap of over 60 mL could be a possible risk factor for BFR. Conclusion : From the present study, BFR in patients who underwent CP with autologous bone flap might be inevitable. However, the degree of BFR may differ from one to another. Therefore, considering artificial bone flaps as implants for patients with large DC could be reasonable. Still, the risk factors for BFR are not clearly understood. Therefore, chronological analysis and pathophysiologic studies are needed.