• 제목/요약/키워드: Next Generation Sequence

검색결과 172건 처리시간 0.035초

Real-Time Volt/VAr Control Based on the Difference between the Measured and Forecasted Loads in Distribution Systems

  • Park, Jong-Young;Nam, Soon-Ryul;Park, Jong-Keun
    • Journal of Electrical Engineering and Technology
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    • 제2권2호
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    • pp.152-156
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    • 2007
  • This paper proposes a method for real-time control of both capacitors and ULTC in a distribution system to reduce the total power loss and to improve the voltage profile over the course of a day. The multi-stage consists of the off-line stage to determine dispatch schedule based on a load forecast and the on-line stage generates the time and control sequences at each sampling time. It is then determined whether one of the control actions in the control sequence is performed at the present sampling time. The proposed method is presented for a typical radial distribution system with a single ULTC and capacitors.

Estimation of Dominant Bacterial Species in a Bench-Scale Shipboard Sewage Treatment Plant

  • Mansoor, Sana;Ji, Hyeon-Jo;Shin, Dae-Yeol;Jung, Byung-Gil;Choi, Young-Ik
    • 한국환경과학회지
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    • 제28권10호
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    • pp.899-905
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    • 2019
  • Recently, an innovative method for wastewater treatment and nutrient removal was developed by combining the sequence batch reactor and membrane bioreactor to overcome pollution caused by shipboard sewage. This system is a modified form of the activated sludge process and involves repeated cycles of mixing and aeration. In the present study, the bacterial diversity and dominant microbial community in this wastewater treatment system were studied using the MACROGEN next generation sequencing technique. A high diversity of bacteria was observed in anaerobic and aerobic bioreactors, with approximately 486 species. Microbial diversity and the presence of beneficial species are crucial for an effective biological shipboard wastewater treatment system. The Arcobacter genus was dominant in the anaerobic tank, which mainly contained Arcobacter lanthieri (8.24%), followed by Acinetobacter jahnsonii (5.81%). However, the dominant bacterial species in the aerobic bioreactor were Terrimonas lutea (7.24%) and Rubrivivax gelatinosus (4.95%).

박과 작물에 과일썩음병을 일으키는 Acidovorax citrulli 검출을 위한 nested-PCR 검사법 개발 (Development of Nested-PCR Assay to Detect Acidovorax citrulli, a Causal Agent of Bacterial Fruit Blotch at Cucurbitaceae)

  • 김영탁;박경수;김혜성;이혁인;차재순
    • 식물병연구
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    • 제21권2호
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    • pp.74-81
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    • 2015
  • 박과 작물에서 과일썩음병(bacterial fruit blotch)을 일으키는 Acidovorax citrulli를 종자로부터 검출하기 위한 특이적이고 민감한 nested-PCR 방법을 개발하였다. 본 연구에서는 Next Generation Sequencing을 이용하여 draft genome sequencing을 얻은 후 이를 분석하여 PCR 프라이머를 디자인하였고, 이들 프라이머의 A. citrulli에 대한 특이성을 확인하여 Ac-ORF 21F/Ac-ORF 21R의 nested PCR 프라이머를 최종 선발하였다. Ac-ORF 21F/Ac-ORF 21R는 오직 A. citrulli에서만 특이적으로 140bp 크기의 DNA를 증폭하였으며, 그 검출민감도는 1차 PCR 검출한계(10 ng genomic DNA/PCR)보다 검출한계를 10,000배 증가시켰다. 개발된 nested-PCR 방법을 통해 병원균을 인공접종한 수박 종자의 외부검사에서 $10^1cfu/ml$까지 인공 접종 한 모든 종자 시료에서 병원균을 검출하였고, 병원균을 인공접종 한 수박 종자의 내부검사에서는 병원균이 검출되지 않았다. 자연 감염 수박 종자의 외부검사에서는 10개의 반복 시료 중 2개에서, 그리고 종자 내부검사에서는 10개의 반복 시료 중 5개에서 A. citrulli를 검출하였다. 본 연구에서 개발한 nested-PCR은 특이성과 민감도가 높고 인공접종과 자연감염 수박 종자에서도 병원균의 검출이 가능하여 박과 작물의 종자로부터 A. citrulli를 검출하는데 효과적으로 사용될 수 있을 것으로 생각된다.

빅데이터 및 고성능컴퓨팅 프레임워크를 활용한 유전체 데이터 전처리 과정의 병렬화 (Parallelization of Genome Sequence Data Pre-Processing on Big Data and HPC Framework)

  • 변은규;곽재혁;문지협
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제8권10호
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    • pp.231-238
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    • 2019
  • 차세대 염기 서열 분석법이 생성한 유전체 원시 데이터를 기존의 방식대로 하나의 서버에서 분석하기 위해서는 데이터 크기에 따라 수십 시간이 필요할 수 있다. 그러나 응급 환자의 진단처럼 수 시간 내에 결과를 알아야 하는 상황이 존재하기 때문에 단일 유전체 분석의 성능을 향상시킬 필요가 있다. 본 연구에서는 빅데이터 기술의 병렬화 기법과 고속의 네트워크로 연결되고 병렬파일시스템을 공유하는 고성능컴퓨팅 클러스터를 적극적으로 활용하여 분석 시간을 크게 단축시킬 수 있는 유전체 데이터 분석의 전처리 프로세스의 병렬화 방법을 제안한다. 분석 데이터의 신뢰성을 위해 기존의 검증된 분석 도구 및 알고리즘을 새로운 환경에 맞게 병렬화 하는 전략을 선택하였다. 프로세스의 병렬화, 데이터의 분배 및 병렬 병합 기법을 개발하였고 실험을 통해 성능 향상을 확인하였다.

CRISPR/Cas 진단의 원리와 현황 (The Principle and Trends of CRISPR/Cas Diagnosis)

  • 박지웅;강봉근;신화희;신준근
    • 대한의용생체공학회:의공학회지
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    • 제42권3호
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    • pp.125-142
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    • 2021
  • The POCT (point-of-care test) sensing that has been a fast-developing field is expected to be a next generation technology in health care. The POCT sensors for the detection of proteins, small molecules and especially nucleic acids have lately attracted considerable attention. According to the World Health Organization (WHO), the POCT methods are required to follow the ASSURED guidelines (Affordable, Sensitive, Specific, User- friendly, Robust and rapid, Equipment-free, Deliverable to all people who need the test). Recently, several CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) based diagnostic techniques using the sensitive gene recognition function of CRISPR have been reported. CRISPR/Cas (Cas, CRISPR associated protein) systems based detection technology is the most innovative gene analysis technology that is following the ASSURED guidelines. It is being re-emerged as a powerful diagnostic tool that can detect nucleic acids due to its characteristics that enable rapid, sensitive and specific analyses of nucleic acid. The first CRISPR-based diagnosis begins with the discovery of the additional function of Cas13a. The enzymatic cleavage occurs when the conjugate of Cas protein and CRISPR RNA (crRNA) detect a specific complementary sequence of the target sequence. Enzymatic cleavage occurs on not only the target sequence, but also all surrounding non-target single-stranded RNAs. This discovery was immediately utilized as a biosensor, and numerous sensor studies using CRISPR have been reported since then. In this review, the concept of CRISPR, the characteristics of the Cas protein required for CRISPR diagnosis, the current research trends of CRISPR diagnostic technology, and some aspects to be improved in the future are covered.

닥나무 속 식물의 엽록체 유전체 기반 InDel 마커의 개발 (Development of Chloroplast Genome-based Insertion/Deletion Markers in the Genus Broussonetia)

  • 이은지;김윤아;이미선;김주혁;최용규;김정성;신창섭;이이
    • 한국자원식물학회지
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    • 제36권4호
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    • pp.290-298
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    • 2023
  • 본 연구에서는 닥나무 속 식물에 대한 InDel 마커를 개발하였다. 전국의 닥나무 속 식물 22개체를 수집하였고, 수집한 닥나무 속 식물 중 6개체를 차세대염기서열 분석(NGS)을 실시하였다. NGS를 통하여 얻은 염기서열 정보를 기존에 발표되었던 닥나무 엽록체 서열과 비교하여 InDel 마커 후보를 선발하였다. 선발한 마커 후보를 수집된 닥나무 속 식물에 적용하여 마커의 특성 검정을 통해 총5개의 엽록체 기반 마커를 개발하였다. 개발된 InDel 마커를 22개의 유전자원에 적용한 후 군집 분석을 실시한 결과, 총5개의 그룹으로 나뉘었다. 본 연구에서 개발된 마커들은 닥나무 속의 육종이나 종 판별에 활용할 수 있을 것이라 판단된다.

Development of a Path Generation and Tracking Algorithm for a Korean Auto-guidance Tillage Tractor

  • Han, Xiong-Zhe;Kim, Hak-Jin;Moon, Hee-Chang;Woo, Hoon-Je;Kim, Jung-Hun;Kim, Young-Joo
    • Journal of Biosystems Engineering
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    • 제38권1호
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    • pp.1-8
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    • 2013
  • Purpose: Path planning and tracking algorithms applicable to various agricultural operations, such as tillage, planting, and spraying, are needed to generate steering angles for auto-guidance tractors to track a point ahead on the path. An optimal coverage path algorithm can enable a vehicle to effectively travel across a field by following a sequence of parallel paths with fixed spacing. This study proposes a path generation and tracking algorithm for an auto-guided Korean tractor with a tillage implement that generates a path with C-type turns and follows the generated path in a paddy field. A mathematical model was developed to generate a waypoint path for a tractor in a field. This waypoint path generation model was based on minimum tractor turning radius, waypoint intervals and LBOs (Limit of Boundary Offsets). At each location, the steering angle was calculated by comparing the waypoint angle and heading angle of the tractor. A path following program was developed with Labview-CVI to automatically read the waypoints and generate steering angles for the tractor to proceed to the next waypoint. A feasibility test of the developed program for real-time path tracking was performed with a mobile platform traveling on flat ground. The test results showed that the developed algorithm generated the desired path and steering angles with acceptable accuracy.

Genome Sequencing and Genome-Wide Identification of Carbohydrate-Active Enzymes (CAZymes) in the White Rot Fungus Flammulina fennae

  • Lee, Chang-Soo;Kong, Won-Sik;Park, Young-Jin
    • 한국미생물·생명공학회지
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    • 제46권3호
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    • pp.300-312
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    • 2018
  • Whole-genome sequencing of the wood-rotting fungus, Flammulina fennae, was carried out to identify carbohydrate-active enzymes (CAZymes). De novo genome assembly (31 kmer) of short reads by next-generation sequencing revealed a total genome length of 32,423,623 base pairs (39% GC). A total of 11,591 gene models in the assembled genome sequence of F. fennae were predicted by ab initio gene prediction using the AUGUSTUS tool. In a genome-wide comparison, 6,715 orthologous groups shared at least one gene with F. fennae and 10,667 (92%) of 11,591 genes for F. fennae proteins had orthologs among the Dikarya. Additionally, F. fennae contained 23 species-specific genes, of which 16 were paralogous. CAZyme identification and annotation revealed 513 CAZymes, including 82 auxiliary activities, 220 glycoside hydrolases, 85 glycosyltransferases, 20 polysaccharide lyases, 57 carbohydrate esterases, and 45 carbohydrate binding-modules in the F. fennae genome. The genome information of F. fennae increases the understanding of this basidiomycete fungus. CAZyme gene information will be useful for detailed studies of lignocellulosic biomass degradation for biotechnological and industrial applications.

Molecular Diagnosis for Personalized Target Therapy in Gastric Cancer

  • Cho, Jae Yong
    • Journal of Gastric Cancer
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    • 제13권3호
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    • pp.129-135
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    • 2013
  • Gastric cancer is the second leading cause of cancer-related deaths worldwide. In advanced and metastatic gastric cancer, the conventional chemotherapy with limited efficacy shows an overall survival period of about 10 months. Patient specific and effective treatments known as personalized cancer therapy is of significant importance. Advances in high-throughput technologies such as microarray and next generation sequencing for genes, protein expression profiles and oncogenic signaling pathways have reinforced the discovery of treatment targets and personalized treatments. However, there are numerous challenges from cancer target discoveries to practical clinical benefits. Although there is a flood of biomarkers and target agents, only a minority of patients are tested and treated accordingly. Numerous molecular target agents have been under investigation for gastric cancer. Currently, targets for gastric cancer include the epidermal growth factor receptor family, mesenchymal-epithelial transition factor axis, and the phosphatidylinositol 3-kinase-AKT-mammalian target of rapamycin pathways. Deeper insights of molecular characteristics for gastric cancer has enabled the molecular classification of gastric cancer, the diagnosis of gastric cancer, the prediction of prognosis, the recognition of gastric cancer driver genes, and the discovery of potential therapeutic targets. Not only have we deeper insights for the molecular diversity of gastric cancer, but we have also prospected both affirmative potentials and hurdles to molecular diagnostics. New paradigm of transdisciplinary team science, which is composed of innovative explorations and clinical investigations of oncologists, geneticists, pathologists, biologists, and bio-informaticians, is mandatory to recognize personalized target therapy.

차세대 이동망에서 영상 품질을 보장하기 위한 전송 방법 (Video Transmission Method for Constant Video Quality in Next-Generation Wireless Networks)

  • 박상현
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 춘계종합학술대회
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    • pp.175-178
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    • 2007
  • 3GPP에서는 이동망에서 QoS를 관리하기 위하여 트래픽 조절기가 포함된 QoS 구조에 대해서 정의하고 있다. 본 논문에서는 3GPP에서 정의하는 트래픽 조절기에 적용 가능한 영상 전송 알고리즘을 제안한다. 제안하는 알고리즘은 토큰 버킷을 이용하여 가변적인 트래픽을 제어하는 트래픽 조절기에서 영상의 품질 변화를 최소화 한다. 제안하는 알고리즘은 반복적인 최적화 방법을 사용하지 않고 프레임 레이어에서 전송률을 제어하는 방법으로 영상 프레임간의 왜곡의 변화를 최소화한다. 그리고 전처리가 필요하지 않은 슬라이딩 윈도우 기법을 사용하기 때문에 영상을 압축할 때 추가적인 지연을 발생시키지 않는다. 따라서 제안하는 알고리즘은 낮은 계산량을 필요로 하는 실시간 영상 코덱에 적당한 알고리즘이다.

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