• 제목/요약/키워드: Hog

검색결과 279건 처리시간 0.031초

Effect of Cellulose Degrading Bacteria Isolated from Wild and Domestic Ruminants on In vitro Dry Matter Digestibility of Feed and Enzyme Production

  • Sahu, N.P.;Kamra, D.N.;Paul, S.S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제17권2호
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    • pp.199-202
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    • 2004
  • Cellulolytic bacterial strains have been isolated from the faeces of wild (blackbuck, Antilope cervicapra; nilgai, Baselophus tragocamelus chinkara, Gazella gazella spotted deer, Axis axis and hog deer, Cervus porcinus) and rumen liquor of domestic (sheep, Ovis aries) ruminants. Five best cellulose degrading bacterial isolates (Ruminococcus sp.) were used as microbial feed additive along with buffalo rumen liquor as inoculum to study their effect on digestibility of feed and enzyme production in in vitro conditions. The bacterial isolate from chinkara (CHI-2) showed the highest per cent apparent dry matter (DM) digestibility ($35.40{\pm}0.60$), true dry matter digestibility ($40.80{\pm}0.69$) and NDF ($26.38{\pm}0.83$) digestibility (p<0.05) compared to control ($32.73{\pm}0.56$, $36.64{\pm}0.71$ and $21.16{\pm}0.89$, respectively) and other isolates at 24 h of incubation with lignocellulosic feeds (wheat straw and wheat bran, 80:20). The same isolate also exhibited the highest activities of fibre degrading enzymes like carboxymethylcellulase, xylanase, ${\beta}$-glucosidase and acetyl esterase. The bacterial isolate from chinkara (Gazella gazella) appears to have a potential to be used as feed additive in the diet of ruminants for improving utilization of nutrients from lignocellulosic feeds.

The Effects of Growth Temperature and Substrate Tilt Angle on GalnP/GaAs Tandem Solar Cells

  • Jun, Dong-Hwan;Kim, Chang-Zoo;Kim, Hog-Young;Shin, Hyun-Beom;Kang, Ho-Kwan;Park, Won-Kyu;Shin, Ki-Soo;Ko, Chul-Gi
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제9권2호
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    • pp.91-97
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    • 2009
  • The performance of GaInP/GaAs tandem solar cells with AlInP growth temperatures of 680$^{\circ}C$ and 700 $^{\circ}C$ on n-type GaAs (100) substrate with 2$^{\circ}$ and 6$^{\circ}$ tilt angles has been investigated. The series resistance and open circuit voltage of the fabricated tandem solar cells are affected by the substrate tilt angles and the growth temperatures of the window layer when zinc is doped in the tunnel diode. With carbon doping as a p-type doping source in the tunnel diode and the effort of current matching between top and bottom cells, GaInP/GaAs tandem solar cell has been exhibited 25.58% efficiency.

다중 스케일 커널화 상관 필터를 이용한 견실한 객체 추적 (Robust Object Tracking based on Kernelized Correlation Filter with multiple scale scheme)

  • 윤준한;김진헌
    • 전기전자학회논문지
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    • 제22권3호
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    • pp.810-815
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    • 2018
  • 커널 상관 필터 알고리듬은 객체 추적에 대해 정확도에서 의미 있는 성과를 거두었다. 그러나 고정된 크기의 템플릿을 사용하기 때문에 추적 대상의 스케일 변화에 대처할 수 없었다. 본 논문에서는 최근접 보간법과 표준 가우시안 정규화를 이용한 다중 스케일에서의 상관 필터링 응답 값을 이용하여 프레임별로 가장 적합한 스케일을 찾아 객체를 추적하는 방식을 제안한다. 다음 프레임의 스케일 값들은 이전 프레임의 최적 스케일 값을 이용해 갱신하고 다시 해당 프레임에서의 최적의 스케일 값을 찾는다. 정확도 비교를 위해 기존 커널 상관 필터 알고리듬에서 사용된 VOT2014 데이터를 사용하여 제안된 방법의 유효성을 검증한다.

차량카메라 영상을 이용한 운전자 전방 주의력향상 시스템 개발에 관한 연구 (The Study on the Development of the Car Driver's Front Attention Enhancement System using the Car Camera)

  • 이상하;심민경
    • 전기학회논문지P
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    • 제67권2호
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    • pp.75-81
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    • 2018
  • In this paper for developing and implementing the car driver's front lane attention enhancement developed system using the car camera. The developed system automatically alarm the car driver when front cars make the dangerous situation. We use Raspberry Pi camera module V2 as car camera module, Raspberry Pi 3 board as hardware main board of implementing embedded system and develop the application library module which can be operated on the Raspberry situation. The application library module widely consist of two part, front car recognition part and dangerous situation distinguish part. Our developed system satisfy the performance test of the target system at the software test certification laboratory of TTA(Telecommunication Technology Association). We test four items as attentive car recognition ability at day and night, system performance, response time. We get the performance of developed system based on the four goal. The car driver's front lane attention enhancement system in this paper will be widely used at the ADAS(Advanced Driving Assistance System) because of the better performance and function.

돼지에서 감염의 조기진단 지표로서의 Haptoglobin 적용에 관한 연구 (Haptoglobin as an early indicator of infection in pigs)

  • 문진산;남향미;구복경;주이석;정석찬;김종염;박용호
    • 대한수의학회지
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    • 제36권3호
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    • pp.615-619
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    • 1996
  • Sera of pigs with clinically normal and infectious conditions were analyzed by sodium dodecyl sulfate-polyacrylamide gel electrophoresis(SDS-PAGE) to demonstrate the specific changes in protein profile. In the sera from pigs with infection, haptoglobin with a 40KDa protein was found to be increased as compared to that of sera from normal pigs. As a rapid detection method for monitoring infections at large-scale farms, one of acute phase protein, haptoglobin, was selected to compare the concentrations between infectious and non-infectious conditions. Haptoglobin concentrations were low in pigs with clinically normal conditions but significantly increased in pigs with Aujesky's disease, hog cholera and parvo-virus infection. The studies provide that haptoglobin can be used as an indicator to monitor infections early at farm level.

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동물병원성 뇌수막염 유발 곰팡이 Cryptococcus neoformans의 Pathogenomic Signaling Network 연구와 항곰팡이제 개발 (Pathogenomic Signaling Networks and Antifungal Drug Development for Human Fungal Pathogen Cryptococcus neoformans)

  • 고영준;권유원;나한나;반용선
    • 한국미생물·생명공학회지
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    • 제38권1호
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    • pp.13-18
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    • 2010
  • Past decade systemic mycoses caused by opportunistic human fungal pathogens, including Candida, Aspergillus, and Cryptococcus, have been a growing problem for both immunocompromised and immunocompetent individuals. Particularly, Cryptococcus neoformans has recently emerged as a major fungal pathogen, which can cause fungal pneumonia and meningitis that are lethal if not timely medicated. However, treatment for cryptococcosis has been difficult due to a lack of proper anti-cryptococcal drugs with fungicidal activity and less toxicity. In this review we introduced novel therapeutic methods for treating cryptococcosis by exploring pathogenomic signa1ing networks of C. neoformans with genome-wide transcriptome approaches as well as diverse molecular/genetic tools.

A SENSITIVITY STUDY ON NEUTRONIC PROPERTIES OF DUPIC FUEL

  • Park, Hangbok;Roh, Gyu-Hog
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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    • pp.124-129
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    • 1998
  • A sensitivity study has been done to determine the composition of DUPIC fuel from the viewpoint of neutronics fuel design. The spent PWR fuel compositions were generated and fissile contents adjusted by blending fresh uranium after mixing two spent PWR fuel assemblies. The $^{239}$ Pu and $^{235}$ U enrichments of DUPIC fuel were adjusted by controlling the amount of fresh uranium feed and the ratio of slightly enriched and depleted uranium in the fled uranium. Based on the material balance calculation, it is recommended that DUPIC fuel composition be such that spent PWR fuel utilization is more than 90%.. A sensitivity study on the temperature reactivity coefficient of DUPIC fuel has shown that it is desirable to increase the $^{239}$ Pu and $^{235}$ U contents to reduce both the fuel and coolant temperature coefficients. On the other hand, refueling simulations of the DUPIC core have shown that the channel power peaking factor, which is a measure of the reactor trip margin, increases with the total fissile content. Considering these neutronic characteristics of the DUPIC fuel, il is recommended to have enrichments of 0.45 and 1.00 wt% for $^{239}$ Pu and $^{235}$ U, respectively.

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양돈 분뇨의 악취특성 및 문제 해결을 위한 환경개선제 사용 현황 및 전망 (Current Status and Perspectives of Livestock Environment Improving Agents for the Characteristics and Control of Swine Manure Odor)

  • 이은영;임정수
    • 한국미생물·생명공학회지
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    • 제38권3호
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    • pp.244-254
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    • 2010
  • The trend toward intensification of livestock raising, confinement in barn has increased in recent days. The move toward concentrated animal feeding operations reduces per unit costs and permits farmers to better earnings in spite of fluctuation in hog prices. However, this also results in outbreaks of a lot of animal wastes and odorous compounds. Emissions of these malodorous compounds produced from concentrated animal feeding operations have become a concern for both public and regulatory agencies and are causing the complaints of residents in rural area. For competitive sustainable swine production industry, odor management plans systematically identify potential odor sources, determine control strategies to reduce these odors, and establish criteria for implementing these strategies. Since, the malodor originates from microbial activities involving a variety of microbes, understanding the characteristics of the microflora present in swine manure is essential for developing effective odor control techniques. This paper reviews the available information in the literature related to the types of bacteria in swine manure, the potential odorous compounds associated with different bacterial genera, and the corresponding techniques used to control odor based on microbiological principles.

보행자 상반신 검출에서의 컬러 세그먼테이션 활용 (Exploiting Color Segmentation in Pedestrian Upper-body Detection)

  • 박래정
    • 전자공학회논문지
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    • 제51권11호
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    • pp.181-186
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    • 2014
  • 본 논문에서는 보행자 상반신 검출기의 성능을 향상하기 위한 세그먼테이션에 기반한 특징 추출 방법을 제안한다. 상반신의 부분별 색상 분포를 활용한 멀티 파트 컬러 세그먼테이션을 사용하여 국소 특징이 갖는 한계로 인해 발생하는 오검출의 감소에 효과적인 "전역적" 윤곽 특징을 추출한다. 컬러 공간과 히스토그램 분해도에 따른 성능을 분석하였으며, 자체 구축한 보행자 상반신 영상을 사용한 실험을 통해서 제안한 방법으로 추출한 특징이 국소 특징 기반 검출기의 오검출 감소에 효과적임을 확인하였다.

Cody Recommendation System Using Deep Learning and User Preferences

  • Kwak, Naejoung;Kim, Doyun;kim, Minho;kim, Jongseo;Myung, Sangha;Yoon, Youngbin;Choi, Jihye
    • International Journal of Advanced Culture Technology
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    • 제7권4호
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    • pp.321-326
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    • 2019
  • As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.