• 제목/요약/키워드: Bio-sensing

검색결과 217건 처리시간 0.028초

Robust Extraction of Lean Tissue Contour From Beef Cut Surface Image

  • Heon Hwang;Lee, Y.K.;Y.r. Chen
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.780-791
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    • 1996
  • A hybrid image processing system which automatically distinguished lean tissues in the image of a complex beef cut surface and generated the lean tissue contour has been developed. Because of the in homegeneous distribution and fuzzy pattern of fat and lean tissue on the beef cut, conventional image segmentation and contour generation algorithm suffer from a heavy computing requirement, algorithm complexity and poor robustness. The proposed system utilizes an artificial neural network enhance the robustness of processing. The system is composed of pre-network , network and post-network processing stages. At the pre-network stage, gray level images of beef cuts were segmented and resized to be adequate to the network input. Features such as fat and bone were enhanced and the enhanced input image was converted tot he grid pattern image, whose grid was formed as 4 X4 pixel size. at the network stage, the normalized gray value of each grid image was taken as the network input. Th pre-trained network generated the grid image output of the isolated lean tissue. A training scheme of the network and the separating performance were presented and analyzed. The developed hybrid system showed the feasibility of the human like robust object segmentation and contour generation for the complex , fuzzy and irregular image.

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Investigation of single nucleotide polymorphism in TSH-β and CaSR associated with body weight in Korean native chickens (Gray Brown)

  • Oh, Dongyep;Ha, Jae Jung;Yi, Jun Koo;Kim, Dae Hyun;Oh, Seung Min;Kim, Songmi;Han, Kyudong;Park, Yong-Soo
    • 한국동물생명공학회지
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    • 제36권3호
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    • pp.129-136
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    • 2021
  • This study identified single nucleotide polymorphisms (SNPs) that affect the body weight of chickens. Analysis of body weight showed that the Cornish breed had the highest body weight, and the Korean native chicken (Gray Brown) had the lowest body weight. TSH is composed of an α-subunit and a β-subunit, and the TSH-β gene encoding the β-subunit has been reported to be associated with obesity. In chickens, it is located on chromosome 26 and is reported to be associated with growth. The calcium-sensing receptor gene (CaSR) plays a role in the regulation of extracellular calcium homeostasis and is responsible for calcium absorption in the urinary tract, which affects the eggshell quality in poultry. It was shown that TSH-β was strongly correlated with weight in Cornish and Korean native (Gray Brown) chickens, particularly in those with the CC trait. However, CaSR showed no association with body weight in poultry; it was associated with calcium and the eggshell. Thus, selection for TSH-β can be used to produce individuals with more favorable traits in terms of body weight.

Mechanisms of Carboxylic Acid Attraction in Drosophila melanogaster

  • Shrestha, Bhanu;Lee, Youngseok
    • Molecules and Cells
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    • 제44권12호
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    • pp.900-910
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    • 2021
  • Sour is one of the fundamental taste modalities that enable taste perception in animals. Chemoreceptors embedded in taste organs are pivotal to discriminate between different chemicals to ensure survival. Animals generally prefer slightly acidic food and avoid highly acidic alternatives. We recently proposed that all acids are aversive at high concentrations, a response that is mediated by low pH as well as specific anions in Drosophila melanogaster. Particularly, some carboxylic acids such as glycolic acid, citric acid, and lactic acid are highly attractive to Drosophila compared with acetic acid. The present study determined that attractive carboxylic acids were mediated by broadly expressed Ir25a and Ir76b, as demonstrated by a candidate mutant library screen. The mutant deficits were completely recovered via wild-type cDNA expression in sweet-sensing gustatory receptor neurons. Furthermore, sweet gustatory receptors such as Gr5a, Gr61a, and Gr64a-f modulate attractive responses. These genetic defects were confirmed using binary food choice assays as well as electrophysiology in the labellum. Taken together, our findings demonstrate that at least two different kinds of receptors are required to discriminate attractive carboxylic acids from other acids.

임피던스 센서 제작을 위한 잉크젯 기반 패턴 IDE 적층공정 최적화 연구 (A Study on Optimization of Inkjet-based IDE Pattern Process for Impedance Sensor)

  • 정현윤;고정범
    • 한국기계가공학회지
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    • 제21권4호
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    • pp.107-113
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    • 2022
  • At present, it is possible to manufacture electrodes down to several micrometers (~ ㎛) using inkjet printing technology owing to the development of precision ejection heads. Inkjet printing technology is also used in the manufacturing of bio-sensors, electronic sensors, and flexible displays. To reduce the difference between the electrode design/simulation performance and actual printing pattern performance, it is necessary to analyze and optimize the processable area of the ink material, which is a fluid. In this study, process optimization was conducted to manufacture an IDE pattern and fabricate an impedance sensor. A total of 25 IDE patterns were produced, with five for each lamination process. Electrode line width and height changes were measured by stacking the designed IDE pattern with a nanoparticle-based conductive ink multilayer. Furthermore, the optimal process area for securing a performance close to the design result was analyzed through impedance and capacitance. It was observed that the increase in the height of stack layer 4 was the lowest at 4.106%, and the increase in capacitance was measured to be the highest at 44.08%. The proposed stacking process pattern, which is optimized in terms of uniformity, reproducibility, and performance, can be efficiently applied to bio-applications such as biomaterial sensing with an impedance sensor.

고분자/그래핀 복합재료의 센서 응용 및 그래핀 함량이 센서 거동에 미치는 영향 (Chemical Sensors Using Polymer/Graphene Composite and The Effect of Graphene Content on Sensor Behavior)

  • 배준원
    • 공업화학
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    • 제31권1호
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    • pp.25-29
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    • 2020
  • 본 연구에서는 롤 공정으로 제작된 고분자(polydimethylsiloxane, PDMS)/그래핀(graphene) 복합재료를 기판으로 하여 간단한 표면처리 공정을 통해 센서를 구현하였고, 이 센서의 성능과 거동에 대한 고찰을 실시하였다. 고분자와 그래핀 파우더를 혼합한 전구체를 3-롤 공정으로 제조하였고, 이를 2-롤 공정에 도입하여 고분자/그래핀 기판 소재를 제조하였다. 나아가, 간단한 표면처리 공정을 통하여 센서의 요체가 되는 환형 다당류(cyclodextrin, CD)를 도입하였다. 표면처리의 유효성의 적외선 분광기를 통해서 확인하였고, 전기 신호 전달의 가능성을 옴의 법칙을 통하여 분석하였다. 간단한 형태의 센서를 구현하여, 분석 물질(methyl paraben, MePRB)을 도입하였을 때, 아주 낮은 농도 수준(10 nM)까지 감지 신호를 얻을 수 있었다. 특히, 그래핀의 함량이 낮을 경우 센서 측정이 어려움을 확인할 수 있었다. 이는, 높은 그래핀 함량에서 보여주는 그래핀 입자의 배향이 다소 억제되어 발생하였을 것으로 사료된다. 이는 첨가제의 물리적인 배향이 센서의 성능에 영향을 미칠 수 있다는 것을 의미한다. 이 정보는 향후 유사한 시스템의 센서를 구현하는 연구에 도움이 될 것으로 기대된다.

인체신호 측정을 위한 SoC 구현에 관한 연구 (A Study on the Implementation of SoC for Sensing Bio Signal)

  • 선혜승;송명규;이재흥
    • 한국정보통신학회논문지
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    • 제14권1호
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    • pp.109-114
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    • 2010
  • 본 연구에서는 인체의 미약한 신호들을 검출하여 정확하게 복원한 뒤, 사용자에게 다양한 방법으로 알려주는 인체신호 측정 모듈 구현에 대하여 기술한다. 본 연구에서 구현한 모듈은 적색 광을 이용하여 인체의 맥박을 측정하는 광전용 적맥파 방식의 센서부와 온도 센서를 이용한 체온 측정부, SoC 설계 기법으로 구현된 컨트롤러로 구성된다. 맥박은 0.1 Hz ~ 10Hz 주파수 영역신호를 검출하여 증폭한 뒤 상용 노이즈를 제거하여 검출되며, 체온은 디지털 타입의 센서가 체온을 측정한 뒤 출력하는 값으로부터 검출된다. 또한, 이 모듈에 대한 SoC 구현의 노력으로서, 시스템 컨트롤러를 대체할 수 있도록 VHDL 기반의 마이크로프로세서를 구현하였다. 구현된 프로세서는 10MHz로 동작하며, FPGA 칩인 Spartan 3XC3S1000 안에서 매크로 블록으로 구성된 메모리들과 함께 검증되었다.

Detection of Food-Grade Hydrogen Peroxide by HRP-Biocomposite Modified Biosensors

  • Chang, Seung-Cheol
    • 한국식품위생안전성학회지
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    • 제32권6호
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    • pp.447-454
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    • 2017
  • 본 연구의 목적은 식품 제조 중 표백 및 살균에 사용되는 과산화수소($H_2O_2$)의 잔류 농도 검출에 활용 될 수 있는 유리탄소전극 기반의 바이오센서의 개발이다. 미국 FDA 및 국내 식품의학안전처 등 식품 용 과산화수소(food grade $H_2O_2$)는 국내외적으로 35% $H_2O_2$ 수용액으로 규정한다. 연구에서 개발한 바이오센서는 감응 물질로 사용된 horseradish peroxidase를 graphene oxide와 aniline과 함께 biocomposite를 형성시킨 후 중성 pH에서 본 연구에서 새롭게 개발된 전기화학적 증착법을 수행하여 개발되었다. 센서구조 및 특성 평가를 위하여 SEM, 순환 전압 전류법 등을 수행하였으며 본 연구에서 개발된 바이오센서는 $10-500{\mu}M$ 농도의 $H_2O_2$에 대하여 직선상의 농도 의존적인 반응을 나타내었으며 최저 검출 한계는 $0.12{\mu}M$으로 산출되었다. 본 연구에서 개발된 센서의 전략적 가치는 향후 오징어포, 건어물 등 널리 유통되는 식품 중에 함유된 식품용 $H_2O_2$ 미량을 현장에서 쉽게 분석 할 수 있어서 비용-효과적 측면에서 그 가치가 우수하다는 것을 제시한다.

농촌지역 돌발재해 피해 경감을 위한 USN기반 통합예경보시스템 (ANSIM)의 개발 (Development of an Integrated Forecasting and Warning System for Abrupt Natural Disaster using rainfall prediction data and Ubiquitous Sensor Network(USN))

  • 배승종;배원길;배연정;김성필;김수진;서일환;서승원
    • 농촌계획
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    • 제21권3호
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    • pp.171-179
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    • 2015
  • The objectives of this research have been focussed on 1) developing prediction techniques for the flash flood and landslide based on rainfall prediction data in agricultural area and 2) developing an integrated forecasting system for the abrupt disasters using USN based real-time disaster sensing techniques. This study contains following steps to achieve the objective; 1) selecting rainfall prediction data, 2) constructing prediction techniques for flash flood and landslide, 3) developing USN and communication network protocol for detecting the abrupt disaster suitable for rural area, & 4) developing mobile application and SMS based early warning service system for local resident and tourist. Local prediction model (LDAPS, UM1.5km) supported by Korean meteorological administration was used for the rainfall prediction by considering spatial and temporal resolution. NRCS TR-20 and infinite slope stability analysis model were used to predict flash flood and landslide. There are limitations in terms of communication distance and cost using Zigbee and CDMA which have been used for existing disaster sensors. Rural suitable sensor-network module for water level and tilting gauge and gateway based on proprietary RF network were developed by consideration of low-cost, low-power, and long-distance for communication suitable for rural condition. SMS & mobile application forecasting & alarming system for local resident and tourist was set up for minimizing damage on the critical regions for abrupt disaster. The developed H/W & S/W for integrated abrupt disaster forecasting & alarming system was verified by field application.

정지궤도 해색탑재체(GOCI) 해수환경분석 알고리즘 개발 (Development of Ocean Environmental Algorithms for Geostationary Ocean Color Imager (GOCI))

  • 문정언;안유환;유주형
    • 대한원격탐사학회지
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    • 제26권2호
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    • pp.189-207
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    • 2010
  • GOCI(정지궤도 해색센서) 해수환경분석 알고리즘들은 해양 광 특성 현장관측 자료들을 이용하여 개발되었다. 사용된 자료는 1998년부터 2009년까지 한반도 주변 해역에서 총 1348개 정점에서 얻어진 엽록소 농도(Chl-a), 부유물 농도(SS), 용존유기물의 흡광계수($a_{dom}$), 원격반사도($R_{rs}$) 현장자료들이다. GOCI 엽록소 농도 산출 알고리즘(GOCI Chl-a)은 부유물과 용존유기물의 영향을 모두 고려하고 네 개의 원격반사도 밴드비를 이용하여 개발하였다. GOCI Chl-a 알고리즘은 다른 알고리즘들보다 현장관측자료에 근사한 엽록소 농도 값을 산출하였다. SeaWiFS 영상자료에서 GOCI Chl-a 알고리즘은 SeaWiFS 표준 엽록소 산출 알고리즘들보다 평균 46 % 정도 보정된 엽록소 농도 값을 산출하였다. GOCI 부유물 농도 산출 알고리즘(GOCI SS)은 보편적인 두 개의 원격반사도 밴드비를 사용하지 않고, Ahn et al.(2001)의 원격반사도 단일밴드 방법을 사용하여 개발하였다. GOCI 용존유기물 산출 알고리즘(GOCI $a_{dom}$)은 원격반사도 밴드비 $R_{rs}(412)/R_{rs}(555)$$a_{dom}(\lambda)$)의 상관관계를 이용하여 개발하였다. GOCI 엽록소 형광 알고리즘과 GOCI 적조분석 알고리즘은 Ahn and Shanmugam(2007)와 Ahn and Shanmugam(2006)의 연구들에 의해 각각 개발되었다. 2010년 6월경에 GOCI의 성공적인 발사가 이루어지면 추후 GOCI 자료의 검보정 연구를 통해 개발된 알고리즘들의 문제점을 분석하고, 한반도 주변 해역의 해양 광 특성 현장자료의 지속적인 업데이트를 통한 알고리즘들의 개선작업이 이루어질 것이다.

Aeroelastic-aerodynamic analysis and bio-inspired flow sensor design for boundary layer velocity profiles of wind turbine blades with active external flaps

  • Sun, Xiao;Tao, Junliang;Li, Jiale;Dai, Qingli;Yu, Xiong
    • Smart Structures and Systems
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    • 제20권3호
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    • pp.311-328
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    • 2017
  • The characteristics of boundary layers have significant effects on the aerodynamic forces and vibration of the wind turbine blade. The incorporation of active trailing edge flaps (ATEF) into wind turbine blades has been proven as an effective control approach for alleviation of load and vibration. This paper is aimed at investigating the effects of external trailing edge flaps on the flow pattern and velocity distribution within a boundary layer of a NREL 5MW reference wind turbine, as well as designing a new type of velocity sensors for future validation measurements. An aeroelastic-aerodynamic simulation with FAST-AeroDyn code was conducted on the entire wind turbine structure and the modifications were made on turbine blade sections with ATEF. The results of aeroelastic-aerodynamic simulations were combined with the results of two-dimensional computational fluid dynamic simulations. From these, the velocity profile of the boundary layer as well as the thickness variation with time under the influence of a simplified load case was calculated for four different blade-flap combinations (without flap, with $-5^{\circ}$, $0^{\circ}$, and $+5^{\circ}$ flap). In conjunction with the computational modeling of the characteristics of boundary layers, a bio-inspired hair flow sensor was designed for sensing the boundary flow field surrounding the turbine blades, which ultimately aims to provide real time data to design the control scheme of the flap structure. The sensor element design and performance were analyzed using both theoretical model and finite element method. A prototype sensor element with desired bio-mimicry responses was fabricated and validated, which will be further refined for integration with the turbine blade structures.