• Title/Summary/Keyword: Model reference

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Current Status and Prospect of Wheat Functional Genomics using Next Generation Sequencing (차세대 염기서열분석을 통한 밀 기능유전체 연구의 현황과 전망)

  • Choi, Changhyun;Yoon, Young-Mi;Son, Jae-Han;Cho, Seong-Woo;Kang, Chon-Sik
    • Korean Journal of Breeding Science
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    • v.50 no.4
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    • pp.364-377
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    • 2018
  • Hexaploid wheat (common wheat/bread wheat) is one of the most important cereal crops in the world and a model for research of an allopolyploid plant with a large, highly repetitive genome. In the heritability of agronomic traits, variation in gene presence/absence plays an important role. However, there have been relatively few studies on the variation in gene presence/absence in crop species, including common wheat. Recently, a reference genome sequence of common wheat has been fully annotated and published. In addition, advanced next-generation sequencing (NGS) technology provides high quality genome sequences with continually decreasing NGS prices, thereby dawning full-scale wheat functional genomic studies in other crops as well as common wheat, in spite of their large and complex genomes. In this review, we provide information about the available tools and methodologies for wheat functional genomics research supported by NGS technology. The use of the NGS and functional genomics technology is expected to be a powerful strategy to select elite lines for a number of germplasms.

Research on Development of Support Tools for Local Government Business Transaction Operation Using Big Data Analysis Methodology (빅데이터 분석 방법론을 활용한 지방자치단체 단위과제 운영 지원도구 개발 연구)

  • Kim, Dabeen;Lee, Eunjung;Ryu, Hanjo
    • The Korean Journal of Archival Studies
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    • no.70
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    • pp.85-117
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    • 2021
  • The purpose of this study is to investigate and analyze the current status of unit tasks, unit task operation, and record management problems used by local governments, and to present improvement measures using text-based big data technology based on the implications derived from the process. Local governments are in a serious state of record management operation due to errors in preservation period due to misclassification of unit tasks, inability to identify types of overcommon and institutional affairs, errors in unit tasks, errors in name, referenceable standards, and tools. However, the number of unit tasks is about 720,000, which cannot be effectively controlled due to excessive quantities, and thus strict and controllable tools and standards are needed. In order to solve these problems, this study developed a system that applies text-based analysis tools such as corpus and tokenization technology during big data analysis, and applied them to the names and construction terms constituting the record management standard. These unit task operation support tools are expected to contribute significantly to record management tasks as they can support standard operability such as uniform preservation period, identification of delegated office records, control of duplicate and similar unit task creation, and common tasks. Therefore, if the big data analysis methodology can be linked to BRM and RMS in the future, it is expected that the quality of the record management standard work will increase.

Interaction Effects between Individual Socioeconomic Status and Regional Deprivation on Onset of Diabetes Complication and Diabetes-Related Hospitalization among Type 2 Diabetes Patients: National Health Insurance Cohort Sample Data from 2002 to 2013 (개인의 사회경제적 수준과 지역의 사회경제적 수준의 상호작용이 제2형 당뇨 환자에서 당뇨합병증 발생 및 당뇨와 관련된 입원에 미치는 영향: 2002-2013년 국민건강보험공단 표본 코호트 자료를 활용하여)

  • Jang, Jieun;Ju, Yeong Jun;Lee, Doo Woong;Lee, Sang Ah;Oh, Sarah Soyeon;Choi, Dong-Woo;Lee, Hyeon Ji;Shin, Jaeyong
    • Health Policy and Management
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    • v.31 no.1
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    • pp.114-124
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    • 2021
  • Background: In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. Methods: Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: 'high in advantaged,' 'high in disadvantaged,' 'middle in advantaged,' 'middle in disadvantaged,' 'low in advantaged,' and 'low in disadvantaged.' We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. Results: In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00-1.08) compared to the 'low in disadvantaged' group (HR, 1.10; 95% CI, 1.05-1.16). In addition, the 'high in advantaged' group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00-1.11) compared to the 'low in advantaged' and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19-1.41) compared to the other groups. Conclusion: Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.

Evaluation Research on the Protection and Regeneration of the Urban Historical and Cultural District of Pingjiang Road, Suzhou, China (중국 쑤저우 평강로 도시역사문화거리 보존 및 재생사업 평가연구)

  • Geng, Li;Yoon, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.561-580
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    • 2021
  • This study analyses the historical and cultural streets at Pinggang Road in the city of Suzhou, by understanding the development and conservation of the area, and uses the following ways to investigate its development, re-organization, and current state. This paper comprehensively compares, collates and investigates 4 different historical and cultural areas in Insadong and Samcheong-dong in South Korea, and South Luogu Lane in China. From initial research and analysis, this paper gathers the cultural, economic, and societal perspectives as non-physical measures, and spatial structure, road structure, and building maintenance as physical factor framework. It is significant in that it can provide an evaluation model for the preservation and regeneration of historical and cultural streets by presenting the viewpoint of complex development of non-physical and physical elements in Pyeonggang-ro. In addition, it is necessary to conduct optimization and specific research on insufficient areas, such as maintenance and development of programs and signature systems for visitors, and continuous development of historical and cultural network platforms by combining on-site surveys. Basic data should be provided for reference on the street.

Estimation of Waxy Corn Harvest Date over South Korea Using PNU CGCM-WRF Chain (PNU CGCM-WRF Chain을 활용한 남한지역 찰옥수수 수확일 추정)

  • Hur, Jina;Kim, Yong Seok;Jo, Sera;Shim, Kyo Moon;Ahn, Joong-Bae;Choi, Myeong-Ju;Kim, Young-Hyun;Kang, Mingu;Choi, Won Jun
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.405-414
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    • 2021
  • This study predicted waxy corn harvest date in South Korea using 30-year (1991-2020) hindcasts (1-6 month lead) produced by the Pusan National University Coupled General Circulation Model (PNU CGCM)-Weather Research and Forecasting (WRF) chain. To estimate corn harvest date, the cumulative temperature is used, which accumulated the daily observed and predicted temperatures from the seeding date (5 April) to the reference temperature (1,650~2,200℃) for harvest. In terms of the mean air temperature, the hindcasts with a bias correction (20.2℃) tends to have a cold bias of about 0.1℃ for the 6 months (April to September) compared to the observation (20.3℃). The harvest date derived from bias-corrected hindcasts (DOY 187~210) well simulates one from observation (DOY 188~211), despite a slight margin of 1.1~1.3 days. The study shows the possibility of obtaining the gridded (5 km) daily temperature and corn harvest date information based on the cumulative temperature in advance for all regions of South Korea.

Analysis of Coastline Changes in Yeongdong Region Using Aerial Photos and CORONA Satellite Images (항공사진과 CORONA 위성영상을 이용한 영동지역 해안선 변화 분석)

  • Ahn, Seunghyo;Kim, Gihong;Lee, Hanna
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.3
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    • pp.187-193
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    • 2022
  • In the Yeongdong region of Gangwon-do, coastal areas are important resources in terms of cultural, social and economic aspects. However, the coast of Gangwon-do is experiencing severe erosion, and it is concerned that its adverse effects will gradually increase. In this study, coastline changes of Yangyang and Gangneung in Gangwon-do were tracked and analyzed over a long period of time. In order to build time series image data, aerial photos from the 1940s to the present were mainly used, and data from CORONA satellite, which operated from the 1960s to the early 1970s, were collected and used together. Using 51cm resolution ortho image and 2m resolution Digital Elevation Model(DEM) as reference, ground control points were selected to perform geometric correction on the aerial photos and CORONA images. Subsequently, Canny edge detector applied to these images to extract the coastlines. As a result of analyzing the extracted and vectorized coastlines by overlaying them in chronological order, erosion and deposition occurring around the artificial structures and on the nearby beaches were observed. In this study, the effect of seasonal variation, tide, and various coastal management including the beach filling were not considered. Because coastal erosion is greatly affected by geographic factors, each local government must find its own solution. Continuous research and local data accumulation are required.

Estimation of Maneuverability of Underwater Vehicles with Ahead Propeller by the Vertical Planar Motion Mechanism Test (VPMM 시험을 통한 선수부에 프로펠러를 갖는 수중운동체의 조종성능 추정)

  • Shin, Myung-Sub;Kim, Dong-Hwi;Kim, Yagin;Hwang, Jong-Hyon;Baek, Hyung-Min;Kim, Sung-Jae;Park, Sang-Jun;Choi, Young-Myung;Park, Hongrae;Kim, Eun-Soo
    • Journal of Navigation and Port Research
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    • v.46 no.3
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    • pp.168-178
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    • 2022
  • In this study, the resistance test, the vertical static angle of the attack test and VPMM test will be conducted to estimate the maneuverability of underwater vehicles with ahead propeller. The vertical static test will be conducted within the range of -40deg to 40deg, to investigate the cross-flow drag at high incidence angles. The tests will be conducted by dividing the propeller rotation into a case in which the propeller rotates at a specific rpm, and a case in which the propeller rotates naturally, according to the towing speed. Hydrodynamic coefficients of vertical direction will be estimated by the captive model tests. Additionally, the vertical dynamic stability index based on estimated hydrodynamic coefficients will be calculated and the impact of the propeller revolution state on the index will be investigated. The results are expected to be used as reference test data for underwater vehicles with ahead propeller.

Stiffness Enhancement of Piecewise Integrated Composite Robot Arm using Machine Learning (머신 러닝을 이용한 PIC 로봇 암 강성 향상에 대한 연구)

  • Ji, Seungmin;Ham, Seokwoo;Cheon, Seong S.
    • Composites Research
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    • v.35 no.5
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    • pp.303-308
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    • 2022
  • PIC (Piecewise Integrated Composite) is a new concept for designing a composite structure with mosaically assigning various types of stacking sequences in order to improve mechanical properties of laminated composites. Also, machine learning is a sub-category of artificial intelligence, that refers to the process by which computers develop the ability to continuously learn from and make predictions based on data, then make adjustments without further programming. In the present study, the tapered box beam type PIC robot arm for carrying and transferring wide and thin LCD display was designed based on the machine learning in order to increase structural stiffness. Essential training data were collected from the reference elements, which were intentionally designated elements among finite element models, during preliminary FE analysis. Additionally, triaxiality values for each finite element were obtained for judging the dominant external loading type, such as tensile, compressive or shear. Training and evaluating machine learning model were conducted using the training data and loading types of elements were predicted in case the level accuracy was fulfilled. Three types of stacking sequences, which were to be known as robust toward specific loading types, were mosaically assigned to the PIC robot arm. Henceforth, the bending type FE analysis was carried out and its result claimed that the PIC robot arm showed increased stiffness compared to conventional uni-stacking sequence type composite robot arm.

The effect of experience factors of untact fashion·beauty performances on customer satisfaction through perceived value (비대면 패션·뷰티 공연의 체험요인이 지각된 가치를 매개로 고객만족에 미치는 영향)

  • Lee, Jihyo;Na, Jin-eok;Kim, Kenneth Chi Ho
    • Journal of Digital Convergence
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    • v.19 no.5
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    • pp.383-395
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    • 2021
  • The purpose of this study is based on Pine and Gilmore's (1998) Experiential Economic Theory (4E's). This study mediates the perceived value of the experience factors (entertainment, aesthetic, deviant and educational experience) of Untact fashion and beauty performances. The impact on customer satisfaction was analyzed a total of 230 questionnaires were collected for visitors to the 15th Untact 'Asia Model Festival', which were successfully held in Seoul in 2020. The statistical analysis method used the SPSS 21.0 statistical program. As a result of the study, it was found that the experience factors had a significant effect on perceived value and customer satisfaction. In addition, perceived value was found to have a significant effect on customer satisfaction, and perceived value as a parameter was found to partially mediate the effect of experience factors on customer satisfaction. By studying the empirical analysis in this way, practical implications were presented and basic data that could be used for reference to related research were provided. However, future research should contribute to academic development through research on variables not covered in this research, and research on various untact performances should be continued.

A Proposal of Urban Park Design Using DT Cafe in Post-COVID Era (포스트 코로나 시대에 드라이브 스루 카페를 활용한 도시공원 디자인 제안)

  • Kil, Sue Yeon;Shin, Hae Min;Choi, Joo Hyun;Kim, Yoo Sun
    • Journal of the Korean Society of Floral Art and Design
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    • no.45
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    • pp.31-46
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    • 2021
  • With the advent of the post-COVID19 era, people must maintain social distancing to quarantine. However, this rule deprives people of freedom. Therefore, this study proposes a new normal plan for urban park design using drive-thru to recreate space for people to maintain and enjoy their previous lives while complying with quarantine rules. Olympic Park has a large floating population, and is one of the places where drive-thru is available. Therefore, the study designed this place to be the only cafe that could be operated if other cafes were shut down due to social distancing. The cafes in the park were designed into five spaces based on Olympic Park's flag motifs. The results were as follows. The cafe's name is CUPPY (Cup+Coffee), while each logo letter is expressed using the colors of the Olympic flag: blue, yellow, black, green, and red. The cafe spaces were divided into five continents (Europe, Asia, Africa, Oceania, and America), as symbolized by the Olympic flag, with the driving route shaped like the Olympic logo to match the five spaces. Human beings need change and adaptation in various fields to live in a post-COVID19 era that they have never experienced before. Just as the New Normal changes with time, and should, research is essential for presenting a New Normal in urban park design that reflects this disaster situation following the COVID-19 crisis. On this very point, we expect that this research will serve as a reference for urban park design. Additionally, it is believed that continuous suggestions and research will be necessary to apply the model to more diverse environments.