• Title/Summary/Keyword: V-Model

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Development of a Rapid Enrichment Broth for Vibrio parahaemolyticus Using a Predictive Model of Microbial Growth with Response Surface Analysis (미생물 생장 예측모델과 반응표면분석법을 이용한 Vibrio parahaemolyticus의 신속 증균배지 개발)

  • Yeon-Hee Seo;So-Young Lee;Unji Kim;Se-Wook Oh
    • Journal of Food Hygiene and Safety
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    • v.38 no.6
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    • pp.449-456
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    • 2023
  • In this study, we developed Rapid Enrichment Broth for Vibrio parahaemolyticus (REB-V), a broth capable enriching V. parahaemolyticus from 100 CFU/mL to 106 CFU/mL within 6 hours, which greatly facilitates the rapid detection of V. parahaemolyticus. Using a modified Gompertz model and response surface methodology, we optimized supplement sources to rapidly enrich V. parahaemolyticus. The addition of 0.003 g/10 mL of D-(+)-mannose, 0.002 g/10 mL of L-valine, and 0.002 g/10 mL of magnesium sulfate to 2% (w/v) NaCl BPW was the most effective combination of V. parahaemolyticus enrichment. Optimal V. parahaemolyticus culture conditions using REB-V were at pH 7.84 and 37℃. To confirm REB-V culture efficiency compared to 2% (w/v) NaCl BPW, we assessed the amount of enrichment achieved in 7 hours in each medium and extracted DNA samples from each culture every hour. Real-time PCR was performed using the extracted DNA to verify the applicability of this REB-V culture method to molecular diagnosis. V. parahaemolyticus was enriched to 5.452±0.151 Log CFU/mL in 2% (w/v) NaCl BPW in 7 hours, while in REB-V, it reached 7.831±0.323 Log CFU/mL. This confirmed that REB-V enriched V. parahaemolyticus to more than 106 CFU/mL within 6 hours. The enrichment rate of REB-V was faster than that of 2% (w/v) NaCl BPW, and the amount of enrichment within the same time was greater than that of 2% (w/v) NaCl BPW, indicating that REB-V exhibits excellent enrichment efficiency.

An Analytical DC Model for HEMT's (헴트 소자의 해석적 직류 모델)

  • Kim, Young-Min
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.6
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    • pp.38-47
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    • 1989
  • A purely analytical model for HEMT's based on a two dimensional charge control simul-ation[4] is proposed. In this model proper treatment of diffusion effect of electron transport along a 2-DEG (two dimensional electron gas) channel is perfoemed. This diffusion effect is shown to effectively increase the bulk mibility and threshold voltage of the I-V curves compared to the existing models. The channel thickness and gate capacitance are expressed as functions of gate voltages covering subthreshold characteristics of HEMT's analytically. By introducing the finite channel opening and an effiective channel-length modulation, the solpe of the saturation region of the I-V curves ws modeled. The smooth transition of the I-V curves at linear-to-saturation regions of the I-V curves was possible using the continuous Troffimenkoff-type of field dependent mobility. Furthermore, a correction factor f was introduced to account for the finite transition section forming between a GCA and a saturated section. This factor removes large discrepancies in the saturation region of the I-V curve predicted by existing l-dimensional models.

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Metal Surface Defect Detection and Classification using EfficientNetV2 and YOLOv5 (EfficientNetV2 및 YOLOv5를 사용한 금속 표면 결함 검출 및 분류)

  • Alibek, Esanov;Kim, Kang-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.577-586
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    • 2022
  • Detection and classification of steel surface defects are critical for product quality control in the steel industry. However, due to its low accuracy and slow speed, the traditional approach cannot be effectively used in a production line. The current, widely used algorithm (based on deep learning) has an accuracy problem, and there are still rooms for development. This paper proposes a method of steel surface defect detection combining EfficientNetV2 for image classification and YOLOv5 as an object detector. Shorter training time and high accuracy are advantages of this model. Firstly, the image input into EfficientNetV2 model classifies defect classes and predicts probability of having defects. If the probability of having a defect is less than 0.25, the algorithm directly recognizes that the sample has no defects. Otherwise, the samples are further input into YOLOv5 to accomplish the defect detection process on the metal surface. Experiments show that proposed model has good performance on the NEU dataset with an accuracy of 98.3%. Simultaneously, the average training speed is shorter than other models.

A Study on the Stability Control Method of Soft and Polluted Silt Soils (연약한 실트지반과 오염된 실트지반의 안정관리 방법에 관한 연구)

  • Ahn, Jong-Pil;Park, Sang-Bum
    • Journal of the Korean Geotechnical Society
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    • v.24 no.6
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    • pp.5-16
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    • 2008
  • This study investigated the existing theoretical backgrounds in order to examine the stability control method of lateral flow caused by the Plasticity of soils when unsymmetrical surcharge works on polluted soils and then compared and analyzed the results measured through model tests. Ultimate bearing power of ML and $ML_{p1}$ and $ML_{p2}$ obtained at surcharge(q)-settlement$(S_v)$ curve showed similar trends to ultimate bearing power obtained from control chart of deflection $(S_v-Y_m)$ by Tominaga.Hashimoto, that of $S_v-(Y_m/S_v)$ by Matsuo.Kawamura and that of $(q/Y_m)-q$ by Shibata.Sekiguchi and so it is considered that it has no problem in actual applicability. ${S_v-(Y_m/S_v)}$ of control chart of $ML_{p1}$ by Matsuo.Kawamura showed smaller value than ultimate bearing capacity value from surcharge-settlement curve $(q-S_v)$. Expression of ML of fracture baseline at stability control charge by Matsuo Kawamura is ${S_v=3.21exp}\{-0.48(Y_m/S_v)\}$ and expression of $ML_{p1}$ is ${S_v=3.26exp}\{-0.96(Y_m/S_v)\}$ and expression of $ML_{p2}$ is ${S_v=6.33exp}\{-0.45(Y_m/S_v)\}$.

한전 765kV 계통의 개폐과전압에 대하여

  • 김정부;이동일
    • 전기의세계
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    • v.41 no.3
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    • pp.30-37
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    • 1992
  • 개폐 과전압에 대한 기기 절연강도는 포화특성이 있어서 500kV 계통 이상에서는 일반적으로 전과전압에 대한 소요 절연강도보다는 더 높은 강도를 요구하고 있다. 본고는 우리나라 765kV 송전선로 Model을 가정 한후 과도전압분석기(TNA)를 이용하여, 개폐 과전압의 크기와 그 분포와 확률 통계학적으로 연구한 결과와 이의 절연설계시 경제적인 방법을 소개한 것이다.

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A Physiologically Based Pharmacokinetic Model for Absorption and Distribution of Imatinib in Human Body

  • Chowdhury, Mohammad Mahfuz;Kim, Do-Hyun;Ahn, Jeong-Keun
    • Bulletin of the Korean Chemical Society
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    • v.32 no.11
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    • pp.3967-3972
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    • 2011
  • A whole body physiologically based pharmacokinetic (PBPK) model was applied to investigate absorption, distribution, and physiologic variations on pharmacokinetics of imatinib in human body. Previously published pharmacokinetic data of the drug after intravenous (i.v.) infusion and oral administration were simulated by the PBPK model. Oral dose absorption kinetics were analyzed by adopting a compartmental absorption and transit model in gut section. Tissue/plasma partition coefficients of drug after i.v. infusion were also used for oral administration. Sensitivity analysis of the PBPK model was carried out by taking parameters that were commonly subject to variation in human. Drug concentration in adipose tissue was found to be higher than those in other tissues, suggesting that adipose tissue plays a role as a storage tissue for the drug. Variations of metabolism in liver, body weight, and blood/plasma partition coefficient were found to be important factors affecting the plasma concentration profile of drug in human body.

Theoretical Study of Gamma-ray Pulsars

  • Song, Yuzhe;Cheng, Kwong Sang;Takata, Jumpei
    • Journal of Astronomy and Space Sciences
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    • v.33 no.2
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    • pp.69-73
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    • 2016
  • We use the non-stationary three dimensional two-layer outer gap model to explain gamma-ray emissions from a pulsar magnetosphere. We found out that for some pulsars like the Geminga pulsar, it was hard to explain emissions above a level of around 1 GeV. We then developed the model into a non-stationary model. In this model we assigned a power-law distribution to one or more of the spectral parameters proposed in the previous model and calculated the weighted phase-averaged spectrum. Though this model is suitable for some pulsars, it still cannot explain the high energy emission of the Geminga pulsar. An Inverse-Compton Scattering component between the primary particles and the radio photons in the outer magnetosphere was introduced into the model, and this component produced a sufficient number of GeV photons in the spectrum of the Geminga pulsar.

The Structural Equation Modeling in MIS : The Perspectives of Lisrel and PLS Applications (경영정보학 분야의 구조방정식모형 적용분석 : Lisrel과 PLS 방법을 중심으로)

  • Kim, In-Jai;Min, Geum-Young;Shim, Hyoung-Seop
    • Journal of Information Technology Services
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    • v.10 no.2
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    • pp.203-221
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    • 2011
  • The purpose of this study is to investigate the applications of Structural Equation Modeling(SEM) into MIS area in recent years. Two methodologies, Lisrel and PLS, are adopted for the method comparison. A research model, based upon TAM(Technology Acceptance Model) is used for the analysis of the data set of a previous study. The research model includes six research variables that are composed of twenty-eight question items. 272 data are used for data analyses through Lisrel v.8.72 and Visual PLS v.1.04. This study shows the statistical results of Lisrel are the same to those of PLS. The contribution of this study can be suggested as the followings; (1) A theoretical comparison of two methodologies is shown, (2) A statistical analysis is done at a real-situated data set, and (3) Several implications are suggested.

A Forecast Model for Estimating the Infection Risk of Bacterial Canker on Kiwifruit Leaves in Korea (참다래 잎에서의 궤양병 감염 위험도 모형)

  • Do, Ki Seok;Chung, Bong Nam;Joa, Jae Ho
    • Research in Plant Disease
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    • v.22 no.3
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    • pp.168-177
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    • 2016
  • A forecast model for estimating the infection risk of bacterial canker caused by Pseudomonas syringae pv. actinidiae on kiwifruit leaves in Korea was developed using the generic infection model of Magarey et al. (2005). Two-way contingency table analysis was carried out to evaluate accuracy of forecast models including the model developed in this study for estimating the infection of bacterial canker on kiwifruit using the weather and disease data collected from three kiwifruit orchards at Seogwipo in 2015. All the tested models had more than 80% of probability of detection indicating that all the tested models could be effective to manage the disease. The model developed in this study showed the highest values in proportion of correct (51.1%), probability of detection (90.9%), and critical success index (47.6%). It indicated that the model developed in this study would be the best model for estimating the infection of bacterial wilt on kiwifruit leaves in Korea. The model developed in this study could be used for a part of decision support system for managing bacterial wilt on kiwifruit leaves and help growers to reduce the loss caused by the disease in Korea.

A comparative study on the characteristics of each version of object detection model YOLO (객체탐지모델 YOLO의 버전별 특성 비교 연구)

  • Joon-Yong Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.75-78
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    • 2023
  • 본 논문은 객체탐지 모델 중 주류를 이루고 있는 YOLO의 v1부터 v8까지의 특성을 비교 분석하여 각각의 버전에 최적화할 수 있는 모델에 대한 연구이다. 연구 결과 v1, v2는 정확성이 최우선인 모델에 적합하다. 반면, v3, v4는 속도가 우선인 모델에 적합하다. 또한 v5, v6는 정확도와 속도 사이의 균형이 필요한 모델에 적합하다는 결론을 얻었다. v7, v8은 메모리 및 컴퓨팅 성능에 제약이 있는 경우 주로 적용이 가능하며, 적은 연산과 저 메모리 사용으로 객체를 탐지하여 포즈추정이나 객체 추적 등을 적용할 모델에 적합하다는 결과를 확인하였다.

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