• 제목/요약/키워드: traceability

검색결과 535건 처리시간 0.022초

Biometric identification of Black Bengal goat: unique iris pattern matching system vs deep learning approach

  • Menalsh Laishram;Satyendra Nath Mandal;Avijit Haldar;Shubhajyoti Das;Santanu Bera;Rajarshi Samanta
    • Animal Bioscience
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    • 제36권6호
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    • pp.980-989
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    • 2023
  • Objective: Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a high-quality iris image from a constantly moving non-cooperative animal even when restrained properly. The aim of the study was to validate and identify Black Bengal goat biometrically to improve animal management in its traceability system. Methods: Forty-nine healthy, disease free, 3 months±6 days old female Black Bengal goats were randomly selected at the farmer's field. Eye images were captured from the left eye of an individual goat at 3, 6, 9, and 12 months of age using a specialized camera made for human iris scanning. iGoat software was used for matching the same individual goats at 3, 6, 9, and 12 months of ages. Resnet152V2 deep learning algorithm was further applied on same image sets to predict matching percentages using only captured eye images without extracting their iris features. Results: The matching threshold computed within and between goats was 55%. The accuracies of template matching of goats at 3, 6, 9, and 12 months of ages were recorded as 81.63%, 90.24%, 44.44%, and 16.66%, respectively. As the accuracies of matching the goats at 9 and 12 months of ages were low and below the minimum threshold matching percentage, this process of iris pattern matching was not acceptable. The validation accuracies of resnet152V2 deep learning model were found 82.49%, 92.68%, 77.17%, and 87.76% for identification of goat at 3, 6, 9, and 12 months of ages, respectively after training the model. Conclusion: This study strongly supported that deep learning method using eye images could be used as a signature for biometric identification of an individual goat.

동위원소희석 액체크로마토그래피/질량분석법에 의한 혈청 내 콜레스테롤의 정량 (Quantification of cholesterol in human serum by isotope dilution liquid chromatography/mass spectrometry)

  • 신혜선;이화심;이계호
    • 분석과학
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    • 제21권6호
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    • pp.502-509
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    • 2008
  • 혈청 내 콜레스테롤을 정량분석하기 위한 일차분석법으로 동위원소희석 액체크로마토그래피/질량분석법(isotope dilution liquid chromatography/mass spectrometry)을 사용하였다. 콜레스테롤은 Thermo ODS hypersil $C^{18}$ 칼럼을 사용하여 분리하였고, 이동상은 100% 메탄올, 유속은 0.3 mL/min으로 하였다. 콜레스테롤과 콜레스테롤-$3,4-13C_2$$[M-H_2O+H]^+$이온에 해당하는 m/z 369.4와 371.3에서 모니터링하여 정량에 합당한 크로마토그램을 얻을 수 있었다. 방법의 유효성을 증명하기 위해서 NIST SRM 909b를 분석한 결과 인증값과 불확도 범위 내에서 일치하는 것을 확인하였다. 이 방법을 바탕으로 혈청 인증표준 물질 4 종류를 제조하여 인증을 실시하였다. 인증 결과, 반복성의 상대표준오차는 0.1~0.8%, 재현성의 경우 0.24%이하, 확장 불확도는 95% 신뢰도구간에서 약 1.43%로 나타났다.

해양 탄소중립 실현을 위한 디지털 플랫폼 개발 (Development of a Digital Platform for Carbon Neutrality in the Ocean)

  • 양영훈;박진형;조득재
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2022년도 춘계학술대회
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    • pp.317-318
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    • 2022
  • 전(全)세계적인 탈탄소화에 따라 그린에너지로의 전환 가속화를 위한 디지털트윈을 활용한 최적화 및 생산성 향상 모색하고 있으며, 주요국은 미래 핵심기술로 디지털트윈을 선정하여 선박 및 해양에너지 운용 최적화를 위한 SW 개발 등 경쟁이 가속화 되고 있음. 국제적으로 탄소 배출량에 대한 규제 강화로 선박의 운영비용 절감 및 조선 산업의 경쟁력 강화를 위해서는 선박의 탄소배출량 사전 예측 및 탄소저감 운항 솔루션을 위한 선제적 대응이 필요함. 이를 위해 선박해양시스템의 탄소 투명성 확보를 지원하는 개방형 디지털 플랫폼 기술 개발 및 환경 구축에 대한 기획을 수행하였음

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Development of Flavouring Ontology for Recommending the Halal Status of Flavours

  • Siti Farhana Mohamad Hashim;Shahrul Azman Mohd Noah;Juhana Salim;Wan Aida Wan Mustapha
    • Journal of Information Science Theory and Practice
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    • 제12권2호
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    • pp.22-35
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    • 2024
  • There has been a growing interest in halal-related ontology research in recent years, as ontology has gained recognition in the halal industry. This paper discusses the development of a flavouring ontology that will assist halal management auditors in predicting the halal status of flavours in order to process food producers' applications for halal certification. The development of a flavouring ontology is based on multiple references, because the auditors of halal management divisions must consult a variety of sources independently in order to determine the halal status of flavourings. The process includes 1) determining the ontology goal and scope, 2) building ontologies, and 3) evaluating the ontologies. The researcher used Protégé to design the ontologies, and Phyton was used to develop a prototype based on flavouring ontology. The developed ontology consists of four classes, nine sub-classes, and 11 relationships. The evaluation of the ontology using the prototype revealed that the majority of experts were satisfied with the information generated by the ontology in the prototype, particularly in relation to synonyms and the hierarchical structure of a flavour. However, the experts suggest improvements in terms of flavour metadata, especially on raw materials and natural occurrence data, so that the flavour information retrieved is comprehensive and accurate.

Distributed Social Medical IoT for Monitoring Healthcare and Future Pandemics in Smart Cities

  • Mansoor Alghamdi;Sami Mnasri;Malek Alrashidi;Wajih Abdallah;Thierry Val
    • International Journal of Computer Science & Network Security
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    • 제24권5호
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    • pp.135-155
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    • 2024
  • Urban public health monitoring in smart cities focuses on the control of conditions and health challenges in urban environments. Considering the rapid spread of diseases and pandemics, it is important for health authorities to trace people carrying the virus. In smart cities, this tracing must be interoperable and intelligent, especially in indoor surfaces characterized by small distances between people. Therefore, to fight pandemics, it is necessary to start with the already-existing digital equipment of the Internet of Things, such as connected objects and smartphones. In this study, the developed system is employed to provide a social IoT network and suggest a strategy which allows reliable traceability without threatening the privacy of users. This IoT-based system allows respecting the social distance between persons sharing public services in smart cities without applying smartphone applications or severe confinement. It also permits a return to normal life in case of viral pandemic and ensures the much-desired balance between economy and health. The present study analyses previous proposed social distance systems then, unlike these studies, suggests an intelligent and distributed IoT based strategy for positioning students. Two scenarios of static and dynamic optimization-based placement of Bluetooth Low Energy devices are proposed and an experimental study shows the contribution and complementarity of the introduced contact tracing strategy with the applications on smartphones.

Ensuring Consumer Safety: Molecular Authentication of Eurycoma longifolia Derivative Products in the Wood Science and Technology Industry

  • Arida SUSILOWATI;Henti Hendalastuti RACHMAT;Kusumadewi Sri YULITA;Asep HIDAYAT;Susila SUSILA;Nawwall ARROFAHA;Irsyad KAMAL;Fifi Gus DWIYANTI
    • Journal of the Korean Wood Science and Technology
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    • 제52권4호
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    • pp.343-362
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    • 2024
  • Eurycoma longifolia (pasak bumi) is a popular medicinal plant in Indonesia and is widely used in various products. Its high economic value has caused illegal harvesting and product falsification. Using molecular techniques, the authentication and traceability of E. longifolia derivatives can be controlled to ensure consumer safety. Therefore, this study aimed to authenticate the products and derivatives of E. longifolia (pasak bumi) produced, marketed, and consumed in Indonesia using molecular identification techniques. Genomic DNA from 37 leaf samples collected from the Sumatran mainland and the Riau Islands and six E. longifolia products were amplified and sequenced using trnL-trnF and internal transcribed spacer (ITS) regions. The results revealed that all leaf samples were indeed E. longifolia based on the markers used, with the six products, only the herbal tea product (sample code TCPB) was most likely derived from E. longifolia based on the two regions, suggesting that not all products labelled as E. longifolia in the market are authentic. The results also indicated that several other plants species are used as substitutes or adulterants, including Simaba spp., Simarouba spp., Homalolepis spp., Vernonia gigantea, Elephantopus scaber, Gymnanthemum amygdalinum, Cyanthillium spp., Potentilla lineata, Ailanthus altissima, Geijera paniculata, Hannoa chlorantha, and Dalbergia spp. Klebsiella pneumoniae bacteria were also identified in this study on the outer wooden cup of E. longifolia products. Therefore, this molecular approach is effective in identifying the authenticity of E. longifolia products, with trnL-trnF and ITS as the recommended DNA markers.

Enhancing Transparency and Trust in Agrifood Supply Chains through Novel Blockchain-based Architecture

  • Sakthivel V;Prakash Periyaswamy;Jae-Woo Lee;Prabu P
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권7호
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    • pp.1968-1985
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    • 2024
  • At present, the world is witnessing a rapid change in all the fields of human civilization business interests and goals of all the sectors are changing very fast. Global changes are taking place quickly in all fields - manufacturing, service, agriculture, and external sectors. There are plenty of hurdles in the emerging technologies in agriculture in the modern days. While adopting such technologies as transparency and trust issues among stakeholders, there arises a pressurized necessity on food suppliers because it has to create sustainable systems not only addressing demand-supply disparities but also ensuring food authenticity. Recent studies have attempted to explore the potential of technologies like blockchain and practices for smart and sustainable agriculture. Besides, this well-researched work investigates how a scientific cum technological blockchain architecture addresses supply chain challenges in Precision Agriculture to take up challenges related to transparency traceability, and security. A robust registration phase, efficient authentication mechanisms, and optimized data management strategies are the key components of the proposed architecture. Through secured key exchange mechanisms and encryption techniques, client's identities are verified with inevitable complexity. The confluence of IoT and blockchain technologies that set up modern farms amplify control within supply chain networks. The practical manifestation of the researchers' novel blockchain architecture that has been executed on the Hyperledger network, exposes a clear validation using corroboration of concept. Through exhaustive experimental analyses that encompass, transaction confirmation time and scalability metrics, the proposed architecture not only demonstrates efficiency but also underscores its usability to meet the demands of contemporary Precision Agriculture systems. However, the scholarly paper based upon a comprehensive overview resolves a solution as a fruitful and impactful contribution to blockchain applications in agriculture supply chains.

Genetic diversity analysis of the line-breeding Hanwoo population using 11 microsatellite markers

  • Shil Jin;Jeong Il Won;Byoungho Park;Sung Woo Kim;Ui Hyung Kim;Sung Sik Kang;Hyun-Jeong Lee;Sung Jin Moon;Myung Sun Park;Hyun Tae Lim;Eun Ho Kim;Ho Chan Kang;Sun Sik Jang;Nam Young Kim
    • 농업과학연구
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    • 제50권3호
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    • pp.321-330
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    • 2023
  • The genetic diversity of three Hanwoo populations was analyzed using 11 microsatellite (MS) markers for the traceability of Hanwoo beef in this study. A total of 1,099 Hanwoo cattle from two populations (694 line-breeding and 405 general Hanwoo) at the Hanwoo Research Institute (HRI) of the National Institute of Animal Science and 1,171 Korean proven bulls (KPNs) were used for the analysis. Specific alleles of four markers (ETH10, INRA23, TGLA122, and TGLA227) were identified only in the line-breeding population, although at a low allele frequency (0.001 - 0.02). The genetic distance (Nei's D) between line-breeding Hanwoo and KPN was the greatest (0.064), whereas general Hanwoo and KPN were relatively close genetically (0.02); the distance between line-breeding and general Hanwoo was found to be 0.054. These results are expected because the HRI has performed closed breeding via selecting its line-breeding sires without utilizing KPN since 2009. Therefore, the line-breeding Hanwoo population of HRI show different genetic diversity from the KPN population, based on the 11 MS markers. The results of this study provide basic data for securing the genetic diversity of Hanwoo cattle and utilizing line-breeding Hanwoo cattle from the HRI.

개인선량 평가의 성능검증을 위한 기준급 감마선장의 특성 평가 (Evaluation of Characteristics in the Reference Gamma Radiation Fields for testing of Personnel Dosimetry Performance)

  • 오장전;조대형;한승재;나성호;이두희;이병수;전재식;채하석;이철영
    • Journal of Radiation Protection and Research
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    • 제23권4호
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    • pp.229-236
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    • 1998
  • 개인 피폭선량 평가의 검증체계를 확립함에 있어서 기본적으로 갖추어야할 방사선장은 감마선, X-선, 베타선 및 중성자이다 금년에 한국원자력안전기술원에서는 중성자를 제외한 방사선장을 위한 기준조사장치(빔)를 확보하였다. 이 기준조사빔이 국제적으로 소급할 수 있는 방사선장의 역할을 수행할 수 있도록 하기 위하여 국제 표준기구규정 및 선진국의 표준규격 등의 기준과 요구조건에 충족되도록 하였다. 본 논문은 감마선장에 대한 기준조사장치에 관한 것으로서의 기여도 및 방사선장의 균질도를 평가하였고, 이를 국제 기준과 비교한 결과 국내 및 국제 기준을 잘 만족하고 있는 것으로 평가되었다. 또한, 측정된 공기커마율은 $^{137}Cs$ 선원에 대하여 $0.1891{\sim}23.4967{\mu}Gy/s$, $^{60}Co$ 선원에 대해서는 $0.588{\sim}15.9954{\mu}$Gy/s의 값으로 결정하였으며, 공기커마율이 가지는 불확도는 95% 신뢰도 범위에서 2.5% 이내로 결정되었다. 측정된 공기커마율의 신뢰성을 검증하기 위하여 전리함의 교정정수를 독일 PTB의 교정정수에 대하여 재평가한 결과 교정정수가 가지는 불착도(1.2%) 범위 내에서 일치하고 있었으며, 미국의 측정값과 비교한 결과 0.03% 범위 내에서 일치하고 있음이 판명되었다. 그러므로 한국원자력안전기술원에 설치된 감마선장은 국내의 표준 소급체계를 유지하고 있을 뿐만 아니라 미국 및 독일의 소급체계를 확보하게 되었고, 국내 및 국제 기준 방사선장으로 활용 가능하게 되었다.

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대량 모근 시료 DNA 분리 체계 확립과 11 microsatellite maker를 사용하는 한우 생산이력제로의 적용가능성 검증 (Establishment of the High-Throughput Hair Roots' DNA Isolation System and Verification of Its Appicability for Hanwoo Traceability Using the 11 Microsatellite Makes)

  • 임현태;이상호;유채경;선두원;조인철;윤두학;양대용;정일정;이정규;전진태
    • 농업생명과학연구
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    • 제44권6호
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    • pp.91-99
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    • 2010
  • 한우 이력추적제에 적용되는 11개의 MS marker (TGLA227, BM2113, TGLA53, ETH10, SPS115, TGLA126, TGLA122, ETH3, ETH225, BM1824 and INRA23)와 성감별을 위한 2개의 sexing primer로 조합된 하나의 Multiplex PCR set를 이용하여 모근에서 추출한 genomic DNA를 이용해 3510두의 대량 시료를 분석한 결과 3.93%의 genotyping 실패율로 성공적인 분석결과를 얻었다. 무작위교배집단으로 가정 시 동일개체출현확률 (PI)은 $1.31{\times}10^{-23}$, 반형매교배집단으로 가정 시 동일개체출현확률 ($PI_{half-sibs}$)은 $2.52{\times}10^{-16}$ 그리고 전형매교배집단으로 가정 시 동일개체출현확률 ($PI_{sibs}$)은 $1.09{\times}10^{-6}$으로 나타나 현재 사용 중인 11종의 MS marker는 범용적으로 사용하여도 무방할 것으로 재확인 되었다. 또한 생산 및 사육단계의 생우의 경우 모근을 이용하여 DNA를 추출하는 것은 시료 채취 시 소에게 주어지는 스트레스를 최소화 시킬 수 있을 뿐만 아니라 대립유전자형 분석에 있어서 시간적, 경제적인 효율성을 높일 수 있었다. 또한 모근 채취 부위 중 등, 배, 꼬리상부와 꼬리하부를 이용하여 검정한 결과 꼬리하부의 모근을 이용하여 5~13가닥을 사용했을 때 최적의 분석결과를 보였다. 최종적으로 한우의 사육단계 대량 유전자형 분석에 적용 가능한 96 well 단위를 기본으로 하는 모근 DNA분리 체계를 확립하였다.