• 대한임상검사과학회지
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• 제44권4호
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• pp.167-177
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• 2012

Next-Generation Sequencing (NGS) is a term that means post-Sanger sequencing methods with high-throughput sequencing technologies. NGS parallelizes the sequencing process, producing thousands or millions of sequences at once. The latest NGS technologies use even single DNA molecule as a template and measures the DNA sequence directly via measuring electronic signals from the extension or degradation of DNA. NGS is making big impacts on biomedical research, molecular diagnosis and personalized medicine. The hospitals are rapidly adopting the use of NGS to help to patients understand treatment with sequencing data. As NGS equipments are getting smaller and affordable, many hospitals are in the process of setting up NGS platforms. In this review, the progress of NGS technology development and action mechanisms of representative NGS equipments of each generation were discussed. The key technological advances in the commercialized platforms were presented. As NGS platforms are a great concern in the healthcare area, the latest trend in the use of NGS and the prospect of NGS in the future in diagnosis and personalized medicine were also discussed.

• 제어로봇시스템학회논문지
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• 제12권11호
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• pp.1095-1101
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• 2006

The clean tube system was developed as a means of transferring air-floated wafers inside a closed tube filled with super clean air. This paper presents a wafer position sensing method in the clean tube system, where the photo proximity sensors are used. The first presented method uses the two positions sensed lately in order to compute the wafer center position. The next method uses the latest sensed position and the next latest position compensated with the information of the wafer velocity. The third method uses the kalman filter, which enable us to use all the previous sensing information. The simulation results are compared to show results of the presented method. In addition, the paper presents a control method to stop the wafer at the center of the unit in the clean tube system. The experimental clean tube system worked successfully with the applying the both presented methods of sensing and control.

• 대한한의학회지
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• 제28권1호통권69호
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• pp.94-104
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• 2007

Objectives : This study investigated the effects of teaching English medical journals to traditional Korean medical students as a way of integrated curriculum, focusing on evidence-based traditional Korean medicine (EBKM) in the light of globalization of traditional Korean Medicine. Methods : 232 students (l16 1st year and t 16 2nd year) were asked to complete a questionnaire at the end of the course in order to validate the course's efficacy on acquisition and utilization of the latest medical knowledge as well as change of attitude toward English itself. Results : The courses were very useful in reducing discomfort toward English journals and to applying the latest medical knowledge to academic reports, clinical practices, and finally to establish abilities for EBKM. The 1st year students who took the courses for two semesters consecutively showed more significant satisfaction than the 2nd year students with only one semester. Conclusion : The findings suggest that English medical journals are an essential curriculum f3r the advance of EBKM and globalization of traditional Korean Medicine and therefore developing adequate textbooks, teaching methods, and quality of instructors should be considered for successful achievements.

• Spatial Information Research
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• 제20권2호
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• pp.137-153
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• 2012

지금까지 대규모의 이동객체 관리를 위해 갱신 비용을 감소시킬 수 있는 인덱스 기법들이 제안되었다. 이동객체 인덱스는 빈번하게 위치정보가 변화하는 이동객체를 관리하기 위해 주기적으로 갱신 되어야 하기 때문이다. 그러나 이러한 기법들은 이동객체의 수가 현저히 증가하는 경우 인덱스의 갱신 가능범위를 초과하는 부하가 발생한다. 본 논문에서는 이처럼 기존의 처리 가용량을 초과하는 빅 데이터 크기의 이동객체에서 발생하는 갱신요청들을 MapReduce와 기존 인덱스기법을 조합하여 감소시키는 기법을 제안한다. 이 기법에서는 수많은 이동객체에서 발생하는 갱신요청들을 MapReduce를 이용하여 각각의 이동객체 별로 그룹화하는 방법을 사용한다. 각 이동객체 별로 그룹화 데이터들의 최신의 데이터와 가장 오래된 데이터를 비교하여 갱신여부를 판단하고 최신의 요청만 갱신하도록 하여 전체 갱신 횟수를 크게 감소시킨다. 갱신이 지연된 경우 기존의 갱신요청들을 가지고 있는 해시 테이블에 일정기간 보관하여 지연된 갱신요청이 분실되지 않고 지속적으로 갱신되도록 한다. 실험을 통해 제안한 기법을 적용한 경우와 적용하지 않은 경우를 비교해 전체 갱신 횟수 및 갱신 비용이 감소되는 것을 알 수 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.16-16
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• 2011

Statistics of extreme rainfall play a vital role in engineering practice from the perspective of mitigation and protection of infrastructure and human life from flooding. While flood frequency assessments, based on river flood flow data are preferred, the analysis of rainfall data is often more convenient due to the finer spatial nature of rainfall recording networks, often with longer records, and potentially more easily transferable from site to site. The rainfall frequency analysis as a design tool has developed over the years in New Zealand from Seelye's daily rainfall frequency maps in 1947 to Thompson's web based tool in 2010. This paper will present a history of the development of New Zealand rainfall frequency analysis methods, and the details of the latest method, so that comparisons may in future be made with the development of Korean methods. One of the main findings in the development of methods was new knowledge on the distribution of New Zealand rainfall extremes. The High Intensity Rainfall Design System (HIRDS.V3) method (Thompson, 2011) is based upon a regional rainfall frequency analysis with the following assumptions: $\bullet$ An "index flood" rainfall regional frequency method, using the median annual maximum rainfall as the indexing variable. $\bullet$ A regional dimensionless growth curve based on the Generalised Extreme Value (GEV), and using goodness of fit test for the GEV, Gumbel (EV1), and Generalised Logistic (GLO) distributions. $\bullet$ Mapping of median annual maximum rainfall and parameters of the regional growth curves, using thin-plate smoothing splines, a $2km\times2km$ grid, L moments statistics, 10 durations from 10 minutes to 72 hours, and a maximum Average Recurrence Interval of 100 years.

• Communications for Statistical Applications and Methods
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• 제28권4호
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• pp.329-338
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• 2021

Deep learning methods have been developed, used in various fields, and they have shown outstanding performances in many cases. Many studies predicted a daily stock return, a classic example of time-series data, using deep learning methods. We also tried to apply deep learning methods to Korea's stock market data. We used Korea's stock market index (KOSPI) and several individual stocks to forecast daily returns and directions. We compared several deep learning models with other machine learning methods, including random forest and XGBoost. In regression, long short term memory (LSTM) and gated recurrent unit (GRU) models are better than other prediction models. For the classification applications, there is no clear winner. However, even the best deep learning models cannot predict significantly better than the simple base model. We believe that it is challenging to predict daily stock return data even if we use the latest deep learning methods.

• Journal of Welding and Joining
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• 제35권2호
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• pp.63-70
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• 2017

As the Non Destructive Test (NDT) for the welded structure, PT(Penetration Test). MT(Magnetic Test), RT (Radioisotope Test) and UT(Ultrasonic Test) methods are widely used in practice. These NDT methods have been developed toward high efficiency, low cost, real time, and high precise new NDT. For example, RT methods are developed to CT(Computed Tomography)and DR(Digital Radiography), and UT metheds are developed into Phased array, Guide wave, TOFD method. Moreover, the Infrared thermography and Laser ultrasonic technique are newly developed for applying in high temperature objects as the non-contact NDT methods. In this review paper the new high efficiency NDT methods for the welded structure are introduced and the trend of NDT rules applying in welded structure are described.

• 국제초고층학회논문집
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• 제12권3호
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• pp.209-214
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• 2023

Seismic performance-based design methods are widely used in the field of engineering. This paper introduces the current status of seismic performance-based design methods for high-rise buildings in China, and summarizes latest advancements in seismic performance-based design methods for high-rise buildings in China, with a focus on the design methods based on predetermined yield mode and the design methods based on member ductility requirements. Finally, the development direction of seismic performance-based design method for high-rise buildings is prospected.

• 한국의상디자인학회지
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• 제20권4호
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• pp.95-104
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• 2018

This study classified the figurative features of the raglan sleeves presented in the Spring and Summer Collections and Fall and Winter Collections abroad in 2010 and 2018 and analyzed the production methods and patterns of the classified raglan sleeves. The analysis results are described below. The raglan sleeves in the latest fashion trends were classified into Type H, Type A, Type O and Type Y per shape. The production features of raglan sleeves in the latest fashion trends included the cutting lines in various shapes, a flounce that made shoulders look wider, and decorations such as gathers, studs, punching, slits, pleats and tucks. The raglan sleeve design was classified into Yoke Raglan, Armhole Princess Raglan, Semi Raglan, Gathered Raglan, Pleats Raglan, Cowl Raglan, Origami Raglan, Circular Curved Raglan, Capes Raglan and Constructive Design Raglan and the patterns per design were presented. For creative and experimental clothing by the analysis of the features of raglan sleeve structure, a variety of configuration methods need to be developed and implemented. The analysis results of this study will contribute to the development of the fashion industry through small quantity batch production pursuing unique styles as the basis for further study on the configuration methods of raglan sleeves. This study will be used in various ways as education materials on sleeve patterns in the educational field. Through the analysis of sleeve patterns, this study tries to provide basic data for planning the design of raglan sleeves and helping to diversify the ladies' apparel market in the future.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.43-50
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• 2022

For high-quality education of the modern generation of students, forms of organizing the educational process and the latest methods of obtaining knowledge that differ from traditional ones are necessary. The importance of multimedia teaching tools is shown, which are promising and highly effective tools that allow the teacher not only to present an array of information in a larger volume than traditional sources of information, but also to include text, graphs, diagrams, sound, animation, video, etc. in a visually integrated form. Approaches to the classification of multimedia learning tools are revealed. Special features, advantages of multimedia, expediency of use and their disadvantages are highlighted. A comprehensive analysis of the capabilities of multimedia teaching tools gave grounds for identifying the didactic functions that they perform. Several areas of multimedia application are described. Multimedia technologies make it possible to implement several basic methods of pedagogical activity, which are traditionally divided into active and passive principles of student interaction with the computer, which are revealed in the article. Important conditions for the implementation of multimedia technologies in the educational process are indicated. The feasibility of using multimedia in education is illustrated by examples. Of particular importance in education are game forms of learning, in the implementation of which educational elements based on media material play an important role. The influence of the game on the development of attention by means of works of media culture, which are very diverse in form and character, is shown. The importance of the role of multimedia in student education is indicated. In the educational process of multimedia students, a number of educational functions are implemented, which are presented in the article. Recommendations for using multimedia are given.