• 제목/요약/키워드: content selection and development.

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근적외선 분석계를 이용한 국내산 쌀의 성분 예측모델 개발(II) -생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측- (Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflectance Analyzer(II) - Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from undried Paddy -)

  • 한충수;연광석;고과이랑
    • Journal of Biosystems Engineering
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    • 제23권3호
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    • pp.253-258
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    • 1998
  • The part I was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Infrared(NIR) Reflectance analyzer. The purpose of this study(part II) is to measure fundamental data required for the prediction of rice quality, and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undried paddy powder by using Near Infrared(NIR) Reflectance analyzer. The results of this study were summarized as follows : The predicted values of protein contents obtained from the undried paddy powder were well correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to the lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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근적외선 분석계를 이용한 국내산 쌀의 성분예측모델 개발(II)-생벼를 이용한 현미.백미의 단백질 함량과 현미수율 예측 (Development of a Constituent Prediction Model of Domestic Rice Using Near Infrared Reflection Analyzer (II)-Prediction of Brown and Milled Rice Protein Content and Brown Rice Yield from Undried Paddy)

  • 한충수;연광석
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1998년도 하계 학술대회 논문집
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    • pp.171-177
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    • 1998
  • The part Ⅰ was for developing regression models to predict the moisture content, protein content and viscosity of brown and milled rice using Near Unfrared (NIR) Reflectance analyzer. The purpose of this study(part Ⅱ) is to measure fundamental data required for the prediction of rice quality , and to develop regression models to predict the protein content of brown and milled rice, brown rice yield from undreid paddy powder by using Near Infrared (NIR) Reflectance analyzer. The results of this study were summarized as follows . The predicted values of protein contents obtained from the undried paddy powder were will correlated to the measured values from brown and milled rice. The predicted yields of brown rice from undried paddy powder were not well correlated to be lab measured values from dried paddy. Continuous study in wavelength selection and of constituent relationship is necessary for practical application.

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음이항분포 정보를 가진 베이지안 소프트웨어 신뢰도 성장모형에 관한 연구 (Bayesian Analysis of Software Reliability Growth Model with Negative Binomial Information)

  • 김희철;박종구;이병수
    • 한국정보처리학회논문지
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    • 제7권3호
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    • pp.852-861
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    • 2000
  • Software reliability growth models are used in testing stages of software development to model the error content and time intervals betwewn software failures. In this paper, using priors for the number of fault with the negative binomial distribution nd the error rate with gamma distribution, Bayesian inference and model selection method for Jelinski-Moranda and Goel-Okumoto and Schick-Wolverton models in software reliability. For model selection, we explored the sum of the relative error, Braun statistic and median variation. In Bayesian computation process, we could avoid the multiple integration by the use of Gibbs sampling, which is a kind of Markov Chain Monte Carolo method to compute the posterior distribution. Using simulated data, Bayesian inference and model selection is studied.

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Variability of Soil Water Content, Temperature, and Electrical Conductivity in Strawberry and Tomato Greenhouses in Winter

  • Ryu, Dong-Ki;Ryu, Myong-Jin;Chung, Sun-Ok;Hur, Seung-Oh;Hong, Soon-Jung;Sung, Je-Hoon;Kim, Hak-Hun
    • Journal of Biosystems Engineering
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    • 제39권1호
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    • pp.39-46
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    • 2014
  • Purpose: Monitoring and control of environmental condition is highly important for optimum control of the conditions, especially in greenhouses and plant factories, and the condition is not uniform within the facility. Objectives of the study were to investigate variability in soil water content and to provide information useful for better irrigation control. Methods: Experiments were conducted in a strawberry-growing greenhouse (greenhouse 1) and a cherry tomato-growing greenhouse (greenhouse 2) in winter. Soil water content, electrical conductivity (EC), and temperature were measured over the entire area, at different distances from an irrigation pump, and on ridge and furrow areas. Results: When measured over the entire greenhouse area, soil water content decreased and temperature and electrical conductivity increased over time from morning to afternoon after irrigation. Water content decreased by distance from the irrigation pump up to 70 m and increased after that, and temperature showed an inverse pattern. Soil water contents on the ridge were lower than those on the furrow, and the differences were 10.2~18.4%, indicating considerable variability. The lowest EC were observed on the furrow and highest values were observed on the ridge. Soil water contents were less and temperature levels were greater at the window side than in the center locations. Conclusions: Selection of number and location of soil water content sensor would be the first step for better water content monitoring and irrigation control. Results of the study would provide basic data useful for optimum sensor location and control for underground greenhouse environment.

산업용 증강현실 전용엔진을 이용한 산업용 증강현실 콘텐츠 개발에 대한 생산성 분석 (Productivity Analysis for Industrial Augmented Reality(iAR) Content Development Using an iAR Specialized Engine)

  • 강민식
    • 산업융합연구
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    • 제20권4호
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    • pp.1-6
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    • 2022
  • 최근 수년 동안 벤츠, BMW등 많은 글로벌 제조업체는 증강현실 활용범위를 조립공정, AS, 전시장, 소비자 매뉴얼등 다양한 분야로 확산시키고 있다. 본 연구에서는 산업용 증강현실을 활용한 제조업의 혁신 프로세스 적용 현황을 파악하고, 이를 바탕으로 기존 ERP와 산업용 증강현실의 접목 가능성을 분석하였다. 또한, 산업용 증강현실 콘텐츠 개발에 있어서 전용 콘텐츠 개발 엔진의 선택이 개발 생산성에 가장 중요한 요인임을 실증적으로 분석하였다. 유니티3D로 개발한 동일 콘텐츠를 뷰포리아 스튜디오로 재개발하여 비교 분석한 결과, 개발 납기를 8배 빠르게 줄여주었다. 본 연구는 산업용 증강현실 콘텐츠를 2가지 엔진으로 실제 개발하여 직접적으로 생산성을 입증하는, 실제 구현하기 어려운 차별성을 가진 연구로써 유사 적용 산업분야의 많은 개발자에게 효율적인 개발도구 선택의 가이드가 될 것이다.

오징어(Todarodes pacificus) 간유와 광합성세균을 주원료로 한 동물먹이생물 영양강화제의 지질 영양강화 효과 (Effect on Enrichment with Schizochytrium sp. and Squid Todarodes pacificus Liver Oil on Fatty Acid Content of Live Feed)

  • 박진철;이배익;권오남
    • 한국수산과학회지
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    • 제44권4호
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    • pp.339-344
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    • 2011
  • We investigated the effects of enrichment with oil or bacteria on the fatty acid composition of rotifers and Artemia as live prey. One enrichment(oil source) was mainly composed of squid Todarodes pacificus liver oil; the other(photosynthetic-bacterial source) was primarily made up of Schizochytrium sp. The enrichments were intended to enhance the nutritional value of the live prey, such as their EPA, DHA and n-3 HUFA contents. The lipid content as EPA and DHA of rotifers was higher when enriched with the oil source rather than the photosynthetic-bacterial source. The DHA content of Artemia nauplii after enrichment differed significantly, depending on the type of enrichment used(P<0.05). When the Artemia nauplii were enriched with the oil source, the DHA content was increased to 16.8%, whereas it increased only to 1.1% when enriched with the photosynthetic-bacterial source. These results indicate that selection of the enrichment is important for Artemia nauplii but not for rotifers.

Genome-wide association study for the free amino acid and nucleotide components of breast meat in an F2 crossbred chicken population

  • Minjun Kim;Eunjin Cho;Jean Pierre Munyaneza;Thisarani Kalhari Ediriweera;Jihye Cha;Daehyeok Jin;Sunghyun Cho;Jun Heon Lee
    • Journal of Animal Science and Technology
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    • 제65권1호
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    • pp.57-68
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    • 2023
  • Flavor is an important sensory trait of chicken meat. The free amino acid (FAA) and nucleotide (NT) components of meat are major factors affecting meat flavor during the cooking process. As a genetic approach to improve meat flavor, we performed a genome-wide association study (GWAS) to identify the potential candidate genes related to the FAA and NT components of chicken breast meat. Measurements of FAA and NT components were recorded at the age of 10 weeks from 764 and 767 birds, respectively, using a White leghorn and Yeonsan ogye crossbred F2 chicken population. For genotyping, we used 60K Illumina single-nucleotide polymorphism (SNP) chips. We found a total of nine significant SNPs for five FAA traits (arginine, glycine, lysine, threonine content, and the essential FAAs and one NT trait (inosine content), and six significant genomic regions were identified, including three regions shared among the essential FAAs, arginine, and inosine content traits. A list of potential candidate genes in significant genomic regions was detected, including the KCNRG, KCNIP4, HOXA3, THSD7B, and MMUT genes. The essential FAAs had significant gene regions the same as arginine. The genes related to arginine content were involved in nitric oxide metabolism, while the inosine content was possibly affected by insulin activity. Moreover, the threonine content could be related to methylmalonyl-CoA mutase. The genes and SNPs identified in this study might be useful markers in chicken selection and breeding for chicken meat flavor.

Marker-Assisted Foreground and Background Selection of Near Isogenic Lines for Bacterial Leaf Pustule Resistant Gene in Soybean

  • Kim, Kil-Hyun;Kim, Moon-Young;Van, Kyu-Jung;Moon, Jung-Kyung;Kim, Dong-Hyun;Lee, Suk-Ha
    • Journal of Crop Science and Biotechnology
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    • 제11권4호
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    • pp.263-268
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    • 2008
  • Bacterial leaf pustule (BLP) caused by Xanthomonas axonopodis pv. glycines is a serious disease to make pustule and chlorotic haloes in soybean [Glycine max (L). Merr.]. While inheritance mode and map positions of the BLP resistance gene, rxp are known, no sequence information of the gene was reported. In this study, we made five near isogenic lines (NILs) from separate backcrosses (BCs) of BLP-susceptible Hwangkeumkong $\times$ BLP-resistant SS2-2 (HS) and BLP-susceptible Taekwangkong$\times$ SS2-2 (TS) through foreground and background selection based on the four-stage selection strategy. First, 15 BC individuals were selected through foreground selection using the simple sequence repeat (SSR) markers Satt486 and Satt372 flanking the rxp gene. Among them, 11 BC plants showed the BLP-resistant response. The HS and TS lines chosen in foreground selection were again screened by background selection using 118 and 90 SSR markers across all chromosomes, respectively. Eventually, five individuals showing greater than 90% recurrent parent genome content were selected in both HS and TS lines. These NILs will be a unique biological material to characterize the rxp gene.

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Optimization of Extraction Conditions and Comparison of Rosmarinic and Caffeic Acids from Leaves of Perilla frutescens Varieties

  • Lee, Jin-Hwan;Baek, In-Youl;Kang, Nam-Suk;Jung, Chan-Sik;Lee, Myoung-Hee;Park, Keum-Yong;Ha, Tae-Joung
    • Food Science and Biotechnology
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    • 제18권3호
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    • pp.793-798
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    • 2009
  • The objectives of this present study were to compare the contents and determine optimum extraction conditions for the rosmarinic acid (RA) and caffeic acid (CA) from leaves of Korean Perilla frutescens varieties. RA and CA from leaves of cv. Bora, a breeding line of P. frutescens were isolated and elucidated using various spectroscopic data. On the basis of 2 phenolic acids, optimum extraction conditions were obtained by employing 50% EtOH for 60 min at $25^{\circ}C$. We reported for the first time on the contents of RA and CA from leaves of 32 Korean varieties. Among them, leaves of P. frutescens Brit. var. acuta Kudo I exhibited the highest RA content ($8.53{\pm}0.57$ mg/g) and CA content ($2.33{\pm}0.11$ mg/g) showed the highest in the P. frutescens Brit. var. viridis Makino. Interestingly, average RA content ($2.66{\pm}0.17$ mg/g) showed a markedly higher than that of CA ($1.98{\pm}0.16$ mg/g) in Korean varieties. These results suggest that concentrations of the RA and CA in P. frutescens leaves could be a key factor in the selection process of a high quality species.

Whole-Genome Resequencing Analysis of Hanwoo and Yanbian Cattle to Identify Genome-Wide SNPs and Signatures of Selection

  • Choi, Jung-Woo;Choi, Bong-Hwan;Lee, Seung-Hwan;Lee, Seung-Soo;Kim, Hyeong-Cheol;Yu, Dayeong;Chung, Won-Hyong;Lee, Kyung-Tai;Chai, Han-Ha;Cho, Yong-Min;Lim, Dajeong
    • Molecules and Cells
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    • 제38권5호
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    • pp.466-473
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    • 2015
  • Over the last 30 years, Hanwoo has been selectively bred to improve economically important traits. Hanwoo is currently the representative Korean native beef cattle breed, and it is believed that it shared an ancestor with a Chinese breed, Yanbian cattle, until the last century. However, these two breeds have experienced different selection pressures during recent decades. Here, we whole-genome sequenced 10 animals each of Hanwoo and Yanbian cattle (20 total) using the Illumina HiSeq 2000 sequencer. A total of approximately 3.12 and 3.07 billion sequence reads were mapped to the bovine reference sequence assembly (UMD 3.1) at an average of approximately 10.71- and 10.53-fold coverage for Hanwoo and Yanbian cattle, respectively. A total of 17,936,399 single nucleotide polymorphisms (SNPs) were yielded, of which 22.3% were found to be novel. By annotating the SNPs, we further retrieved numerous nonsynonymous SNPs that may be associated with traits of interest in cattle. Furthermore, we performed whole-genome screening to detect signatures of selection throughout the genome. We located several promising selective sweeps that are potentially responsible for economically important traits in cattle; the PPP1R12A gene is an example of a gene that potentially affects intramuscular fat content. These discoveries provide valuable genomic information regarding potential genomic markers that could predict traits of interest for breeding programs of these cattle breeds.