• 제목/요약/키워드: defective products

검색결과 161건 처리시간 0.025초

정상인뇨의 가수분해에 의한 의약품결합 저해유도인자의 추출 (An Extract from Hydrolyzed Normal Human Urine which Induces Drug Binding Defects)

  • 장판섭
    • 약학회지
    • /
    • 제26권4호
    • /
    • pp.223-229
    • /
    • 1982
  • Uremia is associated with defective protein binding of weakly acidic drugs, whereas the protein binding of basic drugs tends to be normal. The exact chemical nature of compound(s) and mechanism for these changes as yet is unknown, and has not been defined. Organic solvent extraction of pooled normal human urine following hydrolysis by hydrochloric acid produced an extract, which when added to normal human serum, was capable of inducing binding defects similar to those in uremia. Binding defects were observed with the weakly acidic drugs such as nafcillin, salicylate, sulfamethoxazole and phenytoin while the binding of the basic drugs such as trimethoprim and quinidine were unaffected. The binding defects induced by the hydrolyzed urine extract could readily be corrected by same organic solvent extraction of acidified serum and the defects could be transferred to the normal human serum using the organic solvent layer at the physiologic pH (7.4). Followed by reacidification ind extraction of the binding defects induced serum with the same solvent, separated several fractions were obtained on thin-layer chromatography. One of these fractions could reinduce the binding defects and this factor(s) is apparently weakly acidic compounds and tightly bound to serum at physiologic pH, but extractable at acidic pH, and its molecular weight range is approximately 500 or less similar to those seen in uremia. These findings strongly support the hypothesis that the drug binding defect in uremia is due to the accumulation of endogenous metabolic products which arc normally excreted by the kidneys but accumulate in renal failure.

  • PDF

Isolation of Citrobacter sp. Mutants Defective in Decolorization of Brilliant Green by Transposon Mutagenesis

  • Jang, Moon-Sun;Lee, Young-Mi;Park, Yong-Lark;Cho, Young-Su;Lee, Young-Choon
    • Journal of Microbiology
    • /
    • 제42권2호
    • /
    • pp.139-142
    • /
    • 2004
  • To identify genes involved in the decolorization of brilliant green, we isolated random mutants generated by transposon insertion in brilliant green-decolorizing bacterium, Citrobacter sp. The resulting mutant bank yielded 19 mutants with a complete defect in terms of the brilliant green color removing ability. Southern hybridization with a Tn5 fragment as a probe showed a single hybridized band in 7 mutants and these mutants appeared to have insertions at different sites of the chromosome. Tn5-inserted genes were isolated and the DNA sequence flanking Tn5 was determined. By comparing these with a sequence database, putative protein products encoded by bg genes were identified as follows: bg 3 as a LysR-type regulatory protein; bg 11 as a MalG protein in the maltose transport system; bg 14 as an oxidoreductase; and bg 17 as an ABC transporter. The sequences deduced from the three bg genes, bg 2, bg 7 and bg 16, showed no significant similarity to any protein with a known function, suggesting that these three bg genes may encode unidentified proteins responsible for the decolorization of brilliant green.

스마트 설비관리시스템 구축 및 효과분석 (Implementation and Effectiveness of Smart Equipment Engineering System)

  • 심현식
    • 반도체디스플레이기술학회지
    • /
    • 제16권3호
    • /
    • pp.121-126
    • /
    • 2017
  • EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.

  • PDF

Effect of out-of-plane defects on the postbuckling behavior of graphene sheets based on nonlocal elasticity theory

  • Soleimani, Ahmad;Dastani, Kia;Hadi, Amin;Naei, Mohamad Hasan
    • Steel and Composite Structures
    • /
    • 제30권6호
    • /
    • pp.517-534
    • /
    • 2019
  • In this paper, the effects of inevitable out-of-plane defects on the postbuckling behavior of single-layered graphene sheets (SLGSs) under in-plane loadings are investigated based on nonlocal first order shear deformation theory (FSDT) and von-Karman nonlinear model. A generic imperfection function, which takes the form of the products of hyperbolic and trigonometric functions, is employed to model out-of-plane defects as initial geometrical imperfections of SLGSs. Nonlinear equilibrium equations are derived from the principle of virtual work and variational formulation. The postbuckling equilibrium paths of imperfect graphene sheets (GSs) are presented by solving the governing equations via isogeometric analysis (IGA) and Newton-Raphson iterative method. Finally, the sensitivity of the postbuckling behavior of GS to shape, amplitude, extension on the surface, and location of initial imperfection is studied. Results showed that the small scale and initial imperfection effects on the postbuckling behavior of defective SLGS are important and cannot be ignored.

원통형 궐련의 접착제 경화를 위한 열전달 시뮬레이션에 관한 연구 (A Study on Thermal Simulation for Adhesive Curing of Cylindrical Cigarettes)

  • 박용우;문성민;장기;류성기
    • 한국기계가공학회지
    • /
    • 제20권11호
    • /
    • pp.115-120
    • /
    • 2021
  • In this study, cigarettes, which are an essential element in the production of tobacco, are generally not cylindrical. The main materials used for cigarettes are generally hemp and pulp. For the production of cylindrical cigarettes, the cigarettes or cylinders are mounted via gluing. This adhesive is a vinyl acetate emulsion, a high-temperature melt adhesive, and is adhered in a cylindrical shape immediately after being linearly applied to the inner surface of the paper roll or a local part. These adhesives are greatly affected by the atmospheric temperature of the manufacturing space in summer and winter. In the summer, even if the adhesive is temporarily adhered, the coagulation time of the adhesive is long, and problems such as deterioration of the adhesive state occur. in the winter, there is a problem that the temperature of the manufacturing space is low and the adhesive force of the adhesive is poor, resulting in defective adhesive products. In order to solve these problems, another heat transfer device is utilized to cure the remaining adhesive to ensure higher adhesiveness.

머신비전 기반의 가전제품 표면결함 자동검출 시스템 (Automatic detection system for surface defects of home appliances based on machine vision)

  • 이현준;정희자;이장군;김남호
    • 스마트미디어저널
    • /
    • 제11권9호
    • /
    • pp.47-55
    • /
    • 2022
  • 스마트팩토리 제조공정에서의 품질관리는 중요한 요소이다. 현재, 금형 공정으로 생산되는 생활가전 제조부품의 품질검사는 대부분 작업자의 육안으로 진행되고 있으며 이로 인한 검사의 오류율이 높은 실정이다. 이러한 품질공전 개선을 위하여 결함 자동검출 시스템을 설계하여 구현하였다. 제안 시스템은 특정 위치에서 고성능 스캔 카메라로 대상물을 촬영하여 영상을 획득하고, 비전검사 알고리즘에 따라 긁힘, 찍힘, 이물질에 의한 불량품을 판독한다. 본 연구에서는 긁힘에 대한 불량 인식율을 높이기 위하여 깊이 정보 기반 분기 판단 알고리즘(Depth-based branch decision algorithm, DBD)을 개발하여 정확도를 높였다.

MULTI-CHANNEL VISION SYSTEM FOR ON-LINE QUANTIFICATION OF APPEARANCE QUALITY FACTORS OF APPLE

  • Lee, S. H.;S. H. Noh
    • 한국농업기계학회:학술대회논문집
    • /
    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.III
    • /
    • pp.551-559
    • /
    • 2000
  • An integrated on-line inspection system was constructed with seven cameras, half mirrors to split images, 720 nm and 970 nm band pass filters, illumination chamber having several tungsten-halogen lamps, one main computer, one color frame grabber, two 4-channel multiplexors, and flat plate conveyer, etc., so that a total of seven images, that is, one color image from the top side of an apple and two B/W images from each side (top, right and left) could be captured and displayed on a computer monitor through the multiplexor. One of the two B/W images captured from each side is 720nm filter image and the other is 970nm. With this system an on-line grading software was developed to evaluate appearance quality. On-line test results to the Fuji apples that were manually fed on the conveyer showed that grading accuracies of the color, defective and shape were 95.3%, 86% and 91%, respectively. Grading time was 0.35 sec per apple on an average. Therefore, this on-line grading system could be used for inspection of the final products produced from an apple sorting system.

  • PDF

적응형 이진화와 Convex Hull 전처리 및 합성곱 신경망 학습 방법을 적용한 고무 오링 불량 판별 (Rubber O-ring defect detection using adaptive binarization, Convex Hull preprocessing, and convolutional neural network learning method)

  • 성은산;김현태
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2021년도 춘계학술대회
    • /
    • pp.623-625
    • /
    • 2021
  • 고무 오링은 일반적인 사출 성형 방식으로 생산된다. 이때 정상적으로 성형되지 않은 제품은 무조건 불량으로 판별한다. 그러나 영상기반 판독 시 획득한 영상을 원본 그대로 판독 할 경우 정확도가 떨어지는 문제가 발생한다. 이에 획득한 영상을 적응형 이진화와 Convex Hull 알고리즘을 사용한 전처리를 통해 원본영상에서 고무 오링 부분만 추출하여 합성곱 신경망에 학습하였다. 테스트 과정에서 제안하는 전처리를 적용한 학습방법의 불량검출 성능이 제시한 기준치 보다 나은 성능을 보이는 것을 확인 할 수 있었다.

  • PDF

AI 기반 수요예측알고리즘 모니터링 UI 디자인 방안 연구 (A Study on the UI Design Method for Monitoring AI-Based Demand Prediction Algorithm)

  • 임소연;이효원;김성호;이승준;이영우;박철우
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2022년도 추계학술대회
    • /
    • pp.447-449
    • /
    • 2022
  • 본 연구는 언제 어디서나 네트워크에 연결되는 특성과 유연한 이동성을 가지고 있는 대표적인 모바일 플랫폼 중 하나인 안드로이드가 기반이 되었다. 또한, AI을 기반으로 불량품들의 데이터를 알 수 있는 수요예측 알고리즘을 이용하여 수요예측 데이터와 회사의 시계열 데이터들을 안드로이드 스튜디오를 기반으로 실시간 모니터링 UI 디자인 방안에 대해서 연구하고자 한다.

  • PDF

Designing a quality inspection system using Deep SVDD

  • Jungjun Kim;Sung-Chul Jee;Seungwoo Kim;Kwang-Woo Jeon;Jeon-Sung Kang;Hyun-Joon Chung
    • 한국컴퓨터정보학회논문지
    • /
    • 제28권11호
    • /
    • pp.21-28
    • /
    • 2023
  • 다품종 소량 생산을 중심으로 하는 제조 기업의 경우 하나의 공정 라인에서 여러 가지의 제품들을 생산하기 때문에 자동화된 검수 보다는 작업자에 의해서 불량품을 선별하고 있다. 따라서 일정한 기준 없이 작업자의 경험이나 숙련도에 의해 선별 기준이 조금씩 차이가 있어 잘못 선별이 이루어질 가능성이 높다. 또한, 크기나 모양 등이 정형화되지 않은 유연물체의 경우 선별 기준에 대한 편차가 더 커질 수 있는 문제가 있다. 이러한 문제를 해결하기 위해 본 논문에서는 인공지능 기반의 비지도 학습 방법을 적용한 품질 검사 시스템을 설계하고 실제 제조현장에서 획득한 데이터 셋을 기반으로 정확도를 실험하는 연구를 진행하였다.