• 척추신경추나의학회지
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• 제5권2호
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• pp.181-191
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• 2010

Current treatment for adolescent idiopathic scoliosis(AIS) consists of three phases: observation, bracing, and surgery. Although there are many nonsurgical treatment(bracing, electrical stimulation, exercise, manipulation, acupuncture, etc), their effect is still controversial. In many paper, Schroth method was reported good immediate response to conservative care, which could be considered a sign of good prognosis. Schroth method became effective thai specialists in physiotherapy for spinal deformities teach the patient how to perform a routine of 'curve pattern' specific exercises with the purpose to facilitate the correction of the asymmetric posture and to teach the patient to maintain the corrected posture in dally activities. This Principles of correction exercise treatment are based on those developed by the German physiotherepist K. Schroth.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2092-2095
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• 2001

In this paper, the performance of a new alternative form of three-axis attitude estimation algorithm for a rigid body is evaluated via simulation for the situation where the observed vectors are the estimated baselines of a GPS antenna array. This method is derived based on a simple iterative nonlinear least-squares with four elements of quaternion parameter. The representation of quaternion parameters for three-axis attitude of a rigid body is free from singularity problem. The performance of the proposed algorithm is compared with other eight existing methods, such as, Transformation Method (TM), Vector Observation Method (VOM), TRIAD algorithm, two versions of QUaternion ESTimator (QUEST), Singular Value Decomposition (SVD) method, Fast Optimal Attitude Matrix (FOAM), Slower Optimal Matrix Algorithm (SOMA).

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 B
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• pp.1275-1277
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• 2004

In this paper, we propose a new diagnosis method of DC/DC converter aging. The method is based on the variations of parasitic resistor for the aging process. We apply an on-line diagnosis of DC/DC converter because the observation is not a device, but a system. This study proposes a method of DC/DC converter diagnosis by analyzing the variations of model on the variations of parasitic resistor.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권3호
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• pp.754-774
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• 2023

Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

• Molecules and Cells
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• 제26권2호
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• pp.113-120
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• 2008

Laser light microscopy enables observation of various simultaneously occurring events in living cells. This capability is important for monitoring the spatiotemporal patterns of the molecular interactions underlying such events. Two-photon excited fluorescence microscopy (two-photon microscopy), a technology based on multiphoton excitation, is one of the most promising candidates for such imaging. The advantages of two-photon microscopy have spurred wider adoption of the method, especially in neurological studies. Multicolor excitation capability, one advantage of two-photon microscopy, has enabled the quantification of spatiotemporal patterns of $[Ca^{2+}]_i$ and single episodes of fusion pore openings during exocytosis. In pancreatic acinar cells, we have successfully demonstrated the existence of "sequential compound exocytosis" for the first time, a process which has subsequently been identified in a wide variety of secretory cells including exocrine, endocrine and blood cells. Our newly developed method, the two-photon extracellular polar-tracer imaging-based quantification (TEPIQ) method, can be used for determining fusion pores and the diameters of vesicles smaller than the diffraction-limited resolution. Furthermore, two-photon microscopy has the demonstrated capability of obtaining cross-sectional images from deep layers within nearly intact tissue samples over long observation times with excellent spatial resolution. Recently, we have successfully observed a neuron located deeper than 0.9 mm from the brain cortex surface in an anesthetized mouse. This microscopy also enables the monitoring of long-term changes in neural or glial cells in a living mouse. This minireview describes both the current and anticipated capabilities of two-photon microscopy, based on a discussion of previous publications and recently obtained data.

• 전자공학회논문지CI
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• 제46권3호
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• pp.8-14
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• 2009

본 논문은 은닉 마코브 모델을 이용한 인터넷 정보 추출 방법을 제안하고, 인터넷상의 웹 사이트에서 상품가격을 효율적으로 추출하는 문제에 적용되었다. 제안된 방법에서 시스템으로 입력되는 데이터는 검색엔진의 인터페이스 URL 인데, 상품의 이름을 포함하며, 시스템의 출력은 추출된 각 상품의 상품명, 가격, 사진, 그리고 URL을 목록형태로 보여준다. 주어진 관찰 데이터를 이용해, 은닉 마코브 모델의 학습단계에서는 Maximum Likelihood 알고리듬과 Baum-Welch 알고리듬이 학습에 사용되었으며, 학습된 은닉 마코브 모델을 이용하여 시스템의 출력을 찾는 방법으로는 Viterbi 알고리듬이 사용되었다. 제안된 HMM기반의 정보 검출기는 실제상황에서 수집된 관찰데이터에 대해 실험이 수행되었는데, 기존의 PEWEB 알고리듬에 비해 검출도와 정확도에서 매우 향상된 결과를 보이고 있으며, 특히 정확도에서는 99%이상의 높은 결과를 보여주고 있다. 한편, 보다 충실한 학습을 위해 학습 데이터의 수를 800개 이상으로 증가시켰을 패 검출도 역시 약 93%로 향상된 성능을 보여주었다.

• KIEAE Journal
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• 제16권6호
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• pp.69-75
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• 2016

Climate change has resulted in the urban heat island (UHI) effect throughout the globe, contributing to heat-related illness and fatalities. In order to reduce such damage, it is necessary to improve the climate observation network for precise observation of the urban thermal environment and quick UHI forecasting system. Purpose: This study analyzed the effective range of the climate observation network and the distribution of the existing Automatic Weather Stations (AWS) in Seoul to propose optimal locations for additional installment of AWS. Method: First, we performed quality analysis to pinpoint missing values and outliers within the high-density temperature data measured. With the result from the analysis, a spatial autocorrelation structure in the temperature data was tested to draw the effective range and correlation distance for each major time period. Result: As a result, it turned out that the optimal effective range for the climate observation network in Seoul in July was a radius of 2.8 kilometers. Based on this result, population density, and temperature data, we selected the locations for additional installment of AWS. This study is expected to be used to generate urban temperature maps, select and move measurement locations since it is able to suggest valid, specific spatial ranges when the data measured in point is converted into surface data.

• Structural Engineering and Mechanics
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• 제63권6호
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• pp.779-788
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• 2017

System identification and damage detection for structural health monitoring have received considerable attention. Various time domain analysis methodologies based on measured vibration data of structures have been proposed. Among them, recursive least-squares estimation of structural parameters which is also known as parametric Kalman filter (PKF) approach has been studied. However, the conventional PKF requires that all the external excitations (inputs) be available. On the other hand, structural uncertainties are inevitable for civil infrastructures, it is necessary to develop approaches for probabilistic damage detection of structures. In this paper, a parametric Kalman filter with unknown inputs (PKF-UI) is proposed for the simultaneous identification of structural parameters and the unmeasured external inputs. Analytical recursive formulations of the proposed PKF-UI are derived based on the conventional PKF. Two scenarios of linear observation equations and nonlinear observation equations are discussed, respectively. Such a straightforward derivation of PKF-UI is not available in the literature. Then, the proposed PKF-UI is utilized for probabilistic damage detection of structures by considering the uncertainties of structural parameters. Structural damage index and the damage probability are derived from the statistical values of the identified structural parameters of intact and damaged structure. Some numerical examples are used to validate the proposed method.

• 대한원격탐사학회지
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• 제29권1호
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• pp.115-121
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• 2013

천리안위성은 대한민국에서 개발한 최초의 정지궤도위성으로 궤도상 시험을 완료하고 통신, 해양, 기상임무에 대한 정상운영을 수행하고 있으며, 천리안위성의 기상탑재체는 지구 및 주변의 가시채널 및 적외채널 영상을 취득하고 있다. 본 논문에서는 천리안위성 가시채널 검출기의 성능 분석방법을 설명하고, 2년의 운영기간동안 성능 분석결과를 설명한다. 가시채널 검출기의 성능은 검출기에서 취득한 결과 및 ROLO 모델 기반의 결과를 이용해서 계산할 수 있으며, 분석을 통해서 검출기의 성능은 정상임을 확인하였다.

• 정보처리학회논문지B
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• 제17B권4호
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• pp.295-302
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• 2010

예제기반 초해상도 영상 복원(EBSR)은 고해상도 영상과 저해상도 영상간의 패치간 대응관계를 학습함으로써 고해상도 영상을 복원하는 방법으로, 한 장의 저해상도 영상으로부터도 고해상도 영상을 복원할 수 있는 장점이 있다. 그러나, 폰트의 종류나 크기가 학습 영상과 다른 텍스트 영상을 적용할 경우 잡영을 많이 발생시킨다. 그 이유는 복원 과정 중 매칭 단계에서 입력 패치들이 사전 내의 고해상도 패치와 부적절하게 매칭될 수 있기 때문이다. 본 논문에서는 이러한 문제점을 극복하기 위한 새로운 패치 매칭 방법을 제안한다. 제안하는 방법은 영상 관찰 모델을 이용하여 입력 영상과 출력 영상간의 상관 관계를 보존함으로써 잘못 매칭된 패치로 인한 잡영을 효과적으로 억제한다. 이는 출력 영상의 화질을 개선할 뿐 아니라, 다양한 종류 및 크기의 폰트를 포함한 대용량 패치 사전을 적용할 수 있게 함으로써 폰트의 종류 및 크기의 변이에 대한 적응력을 크게 향상시킨다. 실험에서 제안하는 방법은 폰트와 크기가 다양한 영상에 대하여 기존의 방법보다 우수한 영상 복원 성능을 나타내었다. 뿐만 아니라, 인식 성능도 88.58%에서 93.54%로 개선되어 제안하는 방법이 인식 성능의 개선에도 효과적임을 확인하였다.