• Title/Summary/Keyword: 교차확인법

Search Result 132, Processing Time 0.021 seconds

Development of Analytical Method for Colistin in Fish and Shrimp using Liquid Chromatography Mass Spectrometry (LC-MS/MS를 이용한 수산물 중 콜리스틴 분석법 개발)

  • Shin, Dasom;Kang, Hui-Seung;Lee, Soo-Bin;Cho, Yoon-Jae;Cheon, So-Young;Jeong, Jiyoon;Rhee, Gyu-Seek
    • Journal of Food Hygiene and Safety
    • /
    • v.31 no.5
    • /
    • pp.319-326
    • /
    • 2016
  • Colistin is a last resort antimicrobial agent against multi-drug resistant Gram-negative bacteria. This study was conducted to develop an analytical method to determine colistin in fish and shrimp. The analytes were confirmed and quantified via liquid chromatography-tandem mass spectrometry (LC-MS/MS) in the positive ion mode using multiple reaction monitoring (MRM). The sample was extracted with acidified 5% methanol (containing 0.5% formic acid). Then, solid phase extraction (SPE) was used for cleanup. Matrix-matched calibration curves were linear over the calibration ranges (0.05-1.2 mg/kg) for all the analytes into blank sample with $r^2$ > 0.99. All the values fulfilled the criteria requested by the Codex guidelines. Average recoveries ranged from 85.9% to 107.9%. The repeatability of measurements, expressed as the coefficient of variation (CV, %), was less than 15%. The limit of detection (LOD) was 0.02 mg/kg, and the limit of quantitation (LOQ) was 0.05 mg/kg. This improved method showed higher accuracy and acceptable sensitivity to meet the CAC guideline requirements and is applicable for the analysis of residual colistin (A+B) in fish and shrimp.

A SVR Based-Pseudo Modified Einstein Procedure Incorporating H-ADCP Model for Real-Time Total Sediment Discharge Monitoring (실시간 총유사량 모니터링을 위한 H-ADCP 연계 수정 아인슈타인 방법의 의사 SVR 모형)

  • Noh, Hyoseob;Son, Geunsoo;Kim, Dongsu;Park, Yong Sung
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.43 no.3
    • /
    • pp.321-335
    • /
    • 2023
  • Monitoring sediment loads in natural rivers is the key process in river engineering, but it is costly and dangerous. In practice, suspended loads are directly measured, and total loads, which is a summation of suspended loads and bed loads, are estimated. This study proposes a real-time sediment discharge monitoring system using the horizontal acoustic Doppler current profiler (H-ADCP) and support vector regression (SVR). The proposed system is comprised of the SVR model for suspended sediment concentration (SVR-SSC) and for total loads (SVR-QTL), respectively. SVR-SSC estimates SSC and SVR-QTL mimics the modified Einstein procedure. The grid search with K-fold cross validation (Grid-CV) and the recursive feature elimination (RFE) were employed to determine SVR's hyperparameters and input variables. The two SVR models showed reasonable cross-validation scores (R2) with 0.885 (SVR-SSC) and 0.860 (SVR-QTL). During the time-series sediment load monitoring period, we successfully detected various sediment transport phenomena in natural streams, such as hysteresis loops and sensitive sediment fluctuations. The newly proposed sediment monitoring system depends only on the gauged features by H-ADCP without additional assumptions in hydraulic variables (e.g., friction slope and suspended sediment size distribution). This method can be applied to any ADCP-installed discharge monitoring station economically and is expected to enhance temporal resolution in sediment monitoring.

Estimation of Motion-Blur Parameters Based on Stochastic Peak-Trace Algorithm (확률적 극점자취방법을 통한 움직임열화가 발생한 영상에서의 파라메터 추출)

  • 최병철;강문기
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 1999.11b
    • /
    • pp.99-104
    • /
    • 1999
  • 영상을 획득하는 과정에 있어, 영상획득 장치 또는 피사체의 흔들림으로 인해 발생되는 움직임 열화(motion-blur)현상은 영상의 선명도를 크게 떨어뜨리는 주된 원인이 된다. 손상된 영상은 그 영상자체로부터 움직임의 각도와 길이를 추출 함으로서 복원될 수 있다. 본 논문에서는 움직임 열화의 각도와 길이를 추정하기 위한 방법 중, 본 저자가 제안 했던 극점자취방법에, 확률적인 개념을 적용한 새로운 확률적 극점자취 방법을 소개한다. 기존의 방법은 신호지배영역이 올바로 지정되지 않았을 경우, 오차를 수반하기도 한다. 이러한 문제를 해결 하기 위해, 본 연구에서는 maximum likelihood(ML) 분류방법을 이용해 적절하지 않은 극점자취점의 영향을 선택적으로 작게 하여, 신호지배 영역의 설정 없이, 저주파 영역에서의 올른 극점자취의 검출이 가능하도록 하였다. 또한, Auto-regressive(Ah) 모델을 이용한 선형예측방법을 통해 극점 검출과정에서 불규칙하게 발생하는 특이점들이 극점으로 검출되지 못하도록 하여, 정밀한 움직임 방향의 추정이 가능하게 하였다. 또한, 움직임 길이의 검출에 있어서는, 노이즈에 의해 영향을 무시할 수 없는 기존의 영점교차점 방법을 보완한, 새로운 이동평균최소(MALM)법을 정의하였다 이 방법은 움직임 열화가 발생한 영상의 주파수 영역단면 패턴을 이용한 것으로서, 2차원적인 sinc함수를 1차원적인 표현으로 바꾸어주는 이동평균함수를 사용하여, 쉽게 부극점(sub-peak point)을 찾을 수 있도록 한다 부극점 또한 노이즈에 의한 영향을 받지 않고, 이동평균최소법 자체에 노이즈를 제거하는 과정에 포함되어있으므로. 이 방법을 사용하게 되면, 심한 노이즈 환경에서도 적절한 움직임의 길이 값을검출할 수 있다. 이렇게 얻어진 길이와 방향의 파라메터를 이용하여, 실제 실험에 사용된 손상되어진 영상을 효과적으로 복원할 수 있었다.>$\bigcirc$ 펄라이트 : 합섬A(비스코스+레이온)급액천의 유입은 소(1$\times$60cm)에서 21.8ml, 중(2$\times$60cm) 33.5ml, 대(3$\times$60cm) 43.4ml가 통과되었고 합섬(폴리에스텔)에서는 19.0~30.7ml로서 급액천의 규격에 따라 통과되는 차이가 있었다. 배지가 규격화되어 있어 급액천의 규격별로 일정하게 유입되었으며 급액천의 재질이 유입에 영향을 미친 것으로 사료되었다. (2) 급액관과 베드상과의 높이에 따른 유출양 : 급액과 베드상과의 낙차가 클수록 유출이 증가함을 알수 있었으나 합섬C(인견)실험구에서는 낙차가 유출에 영향을 미치지 않았다. (4) 급액된 양액의 EC 및 pH조사 : 급액된 양액의 EC 및 pH에 전혀 변화가 없어 재배 적응에 문제가 없을것으로 사료되었다.이가 가장 이상적인 것으로 생각된다.세포수에 대한 내부세포괴세포(ICM/total cells)가 20~40% 범주에 드는 비율은 처리구가 대조구보다 낮은 결과를 나타냈다. 결론적으로 돼지난포란을 이용하여 체외성숙을 유기할 때 효과적인 cysteamine의 농도는 50$\mu$M이 적당하며, 초기배발달을 유기할 때의 효과적인 cysteamine의 농도는 25~50$\mu$M인 것으로 판단된다.N)A(N)/N을 제시하였다(A(N)=N에 대한 A값). 위의 실험식을 사용하여 헝가리산 Zempleni 시료(15%$S_{XRD}$)의 기본입자분포로부터 %$S_{XRD}$를 계산한 결과, 16%$S_{XRD}$의 결과값을 얻을 수 있었다. 따라서, 본 연구에서 도출한 관계식들이 유효함을 확인할 수 있었다.계식들이 유효함을 확인할 수 있었다.할 때 약간의 증가를 나타냈다.". And

  • PDF

Characterization of Plasmid-Mediated SHV-11 β-lactamase Gene of Klebsiella pneumoniae Isolated from the Clinical Specimens (임상검체로부터 분리한 플라스미드 매개성 SHV-11 β-lactamase 유전자의 특성)

  • Kim, Yun-Tae;Lee, Sang-Hoo;Jang, Ji-Hyun;Kim, Tae-Un;Choi, Seok-Cheol;Baik, Hyung-Suk;Lee, Kyoung-Ryul;Yoon, Hye-Ryoung;Kim, Young-Jin
    • Journal of Life Science
    • /
    • v.19 no.12
    • /
    • pp.1718-1723
    • /
    • 2009
  • In this study, we characterized extended-spectrum $\beta$-lactamase (ESBL)-producing Enterobacteriaceae isolated from clinical specimens in Korea and found two strains harboring plasmid-mediated $bla_{SHV-11}$, Klebsiella pneumoniae. First, the isolates were detected using the Vitek system and confirmed by the double-disk synergy test. The classification of gene coding for ESBL was also performed by polymerase chain reactions and followed by DNA sequencing. The transmission of genes was confirmed by transconjugation and transformation. Resistant expression of transformants was determined by broth microdilution minimal inhibitory concentration test. Genotypic analysis revealed that one strain harbored the $bla_{TEM-1}$, $bla_{SHV-11}$ and $bla_{CTX-M-15}$ and the other strain harbored the $bla_{SHV-11}$ and $bla_{CTX-M-15}$. They showed high resistance to oxyiminocephalosphorins (3rd-generation cephalosporins), while the transformant containing only $bla_{SHV-11}$ did not show any resistance to the antibiotics.

Measurement of Mucin Amounts Using RTO3 in Patients with Chronic Airway Disease (만성 기도질환에서 흰쥐 뮤신에 대한 단 세포군 항체(RTO3)를 이용한 뮤신 측정에 관한 연구)

  • Kim, Do-Jin;Kim, Ki-Up;NamGung, Eun-Kyang;Uh, Soo-Taek;Kim, Young-Hoon;Shin, Chan-Young;Ko, Kwang-Ho;Park, Choon-Sik
    • Tuberculosis and Respiratory Diseases
    • /
    • v.47 no.6
    • /
    • pp.786-796
    • /
    • 1999
  • Background: It has been anticipated that the amount and composition of mucin are changed in patients with chronic airway diseases. We evaluated whether RTO3(mAb against rat tracheal mucins) could quantify the amount of mucin from the airway in the patients with chronic airway diseases. Methods and results; 1) RTO3 was bound to high molecular weight of mucin based on Western blot in sputum and BALF from patients with chronic airway diseases. 2) The goblet cells and submucosal glands in main bronchus from human were observed by PAS stain. And immunohistochemical stain with RTO3 showed immunoreactivity on some goblet cells. 3) The amount of mucin was more increased in patients with chronic airway diseases compared to those in normal subjects. 4) In the exacerbation of asthmatics, mucin amounts were more increased than stable asthmatics. Conclusion: We suggested that secreted mucin in chronic airway diseases can be quantified by ELISA with RTO3.

  • PDF

Estimation of delay time between precipitation and groundwater level in the middle mountain area of Pyoseon watershed in Jeju Island using moving average method and cross correlation coefficient (이동평균법과 교차상관계수를 이용한 제주도 표선유역 중산간지역의 강수량과 지하수위 간의 지체시간 추정)

  • Shin, Mun-Ju;Moon, Soo-Hyoung;Koh, Gi-Won;Moon, Duk-Chul
    • Journal of Korea Water Resources Association
    • /
    • v.53 no.7
    • /
    • pp.533-543
    • /
    • 2020
  • In order to provide information for proper management of groundwater resources, it is necessary to estimate the rise time of groundwater level by calculating the delay time between the time series of precipitation and groundwater level and to understand the characteristics of groundwater level variation. In this study, total delay time (TDT) and cross correlation coefficient between the moving averaged precipitation generated by using the moving average method to take into account the preceding precipitation and the groundwater level were calculated and analyzed for the nine groundwater level monitoring wells in the Pyoseon watershed in the southeast of Jeju Island. As a result, when the moving averaged precipitation was used, the correlation with the groundwater level was higher in all monitoring wells than in the case of using the raw precipitation, so that it was possible to more clearly estimate the delay time between precipitation and groundwater level. When using the moving averaged precipitation, it had cross correlation coefficients of up to 0.57 ~ 0.58 with the time series data of the groundwater level, and had a relatively high correlation when considering the preceding precipitation of about 24 days on average. The TDT was about 32 days on average, and it was confirmed that the consideration of preceding precipitation plays an important role in estimating the TDT because the days of moving averaged precipitation greatly influences the calculation of the TDT. In addition, through the use of moving averaged precipitation, we found an error in estimating the TDT due to the use of raw precipitation. Through the method of estimating the TDT used in this study and the use of the R code for estimating the TDT presented in the appendix of this paper, it will be possible to estimate the TDT for other regions in the future relatively easily.

Validation of PCR and ELISA Test Kits for Identification of Domestic Animal Species in Raw Meat and Meat Products in Korea (국내 유통 식육 및 식육가공품에서 축종감별을 위한 PCR 및 ELISA 검사법 검증)

  • Heo, Eun-Jeong;Ko, Eun-Kyung;Seo, Kun-Ho;Kim, Young-Jo;Park, Hyun-Jung;Wee, Sung-Hwan;Moon, Jin-San
    • Journal of Food Hygiene and Safety
    • /
    • v.29 no.2
    • /
    • pp.158-163
    • /
    • 2014
  • In this study, two commercial PCR and ELISA test kits were examined for identification of eight animal species (beef, pork, chicken, duck, turkey, goat, lamb, and horse) from raw meat and meat products in Korea. The detection limit in RAW meat ELISA kit$^{(R)}$ on three types of meat samples blended with beef, pork and chicken, demonstrated that all meat species were differentiable down to 0.2%. RAW meat ELISA kit$^{(R)}$ on animal species resulted in differentiation rate of 94.5% for beef, 93.3% for pork, 90% for lamb, and 100% for chicken, duck, turkey, goat, and horse. In contrast, Powercheck Animal Species ID PCR kit$^{TM}$ resulted in 100% specificity at 0.05% limit of detection for all meat species. The detection limit of Cooked Meat ELISA kit$^{(R)}$ on mixed meat samples heat-treated with different temperatures and times, resulted in 0.1% for all heat-treated mixed meat except for chicken at 1.0%. Additionally, ELISA kit on sixty meat products resulted in specificity of 31.8% for ham, 13.6% for sausages, and 12.5% for ground processed products, and relatively low rate for more than 2 types of mixed meats. On the contrary, meat species differentiation using PCR kit showed higher percentage than that using ELISA kit$^{(R)}$: 50.0% for ham, 41.7% for sausages, and 28.6% for ground processed meat. Futhermore, PCR kit on 54 dried beef meats detected pork genes in 13 products whereas ELISA kit showed negative results for all products. Hence, the possibility of cross-contamination during manufacturing process was investigated, and it was found that identical tumblers, straining trays, cutters and dryers were used in both beef and pork jerky production line, suggesting the inclusion of pork genes in beef products due to cross-contamination. In this study, PCR and ELISA test kits were found to be excellent methods for meat species differentiation in raw meat and heat-processed mixed meat. However, lower differentiation rate demonstrated in case of meat processed products raised the possibility of inclusion of other species due to cross-contamination during manufacturing process.

Prediction of movie audience numbers using hybrid model combining GLS and Bass models (GLS와 Bass 모형을 결합한 하이브리드 모형을 이용한 영화 관객 수 예측)

  • Kim, Bokyung;Lim, Changwon
    • The Korean Journal of Applied Statistics
    • /
    • v.31 no.4
    • /
    • pp.447-461
    • /
    • 2018
  • Domestic film industry sales are increasing every year. Theaters are the primary sales channels for movies and the number of audiences using the theater affects additional selling rights. Therefore, the number of audiences using the theater is an important factor directly linked to movie industry sales. In this paper we consider a hybrid model that combines a multiple linear regression model and the Bass model to predict the audience numbers for a specific day. By combining the two models, the predictive value of the regression analysis was corrected to that of the Bass model. In the analysis, three films with different release dates were used. All subset regression method is used to generate all possible combinations and 5-fold cross validation to estimate the model 5 times. In this case, the predicted value is obtained from the model with the smallest root mean square error and then combined with the predicted value of the Bass model to obtain the final predicted value. With the existence of past data, it was confirmed that the weight of the Bass model increases and the compensation is added to the predicted value.

Simultaneous Detection of Cytomegalovirus, Epstein-Barr Virus, Hepatitis B Virus, and Parvovirus by a Multiplex PCR (다중 중합효소 연쇄반응을 이용한 DNA 바이러스의 동시검출)

  • Sung, Hye-Ran;Joo, Jin-Young;Lee, Chong-Kil;Chung, Yeon-Bok;Song, Suk-Gil
    • Korean Journal of Microbiology
    • /
    • v.43 no.1
    • /
    • pp.1-6
    • /
    • 2007
  • We describe a multiplex PCR method that can detect and differentiate simultaneously four different kinds of DNA viruses, Epstein-Barr virus (EBV), cytomegalovirus (CMV), hepatitis B virus (HBV) and parvovirus B19 (B19). Primers for the multiplex PCR reaction were designed to amplify specific regions of the EBV (pol), CMV (pol), HBV (pol) and B19 (ns) viral genomes and used to simultaneously detect individual viruses. In order to achieve optimal sensitivity and specificity for multiplex PCR, the thermo-cycling parameters, primer sequences, and concentration of each reaction components were optimized systematically. The sensitivity of the detection method ranged between 5 and 10 copies of viral genome with a mixture of multiple primer pairs. Furthermore, this highly sensitive test showed no cross-reactivity among the four viruses. Thus, the results obtained in this study provide evidence that the assay system is a good tool for supporting the diagnosis of viral infection and contamination.

Endpoint Detection of Speech Signal Using Lyapunov Exponent (리아프노프 지수를 이용한 음성신호 종점 탐색 방법)

  • Zang, Xian;Kim, Jeong-Yeon;Chong, Kil-To
    • Journal of the Institute of Electronics Engineers of Korea SC
    • /
    • v.46 no.1
    • /
    • pp.28-33
    • /
    • 2009
  • In the research of speech recognition, locating the beginning and end of a speech utterance in a background of noise is of great importance. The conventional methods for speech endpoint detection are based on two simple time-domain measurements-short-time energy, and short-time zero-crossing rate, which couldn't guarantee the precise results if in the low signal-to-noise ratio environments. This paper proposes a novel approach that finds the Lyapunov exponent of time-domain waveform. This proposed method has no use for obtaining the frequency-domain parameters for endpoint detection process, e.g. Mel-Scale Features, which have been introduced in other paper. Accordingly, this algorithm is low complexity and suitable for Digital Isolated Word Recognition System.