• IEIE Transactions on Smart Processing and Computing
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• 제4권2호
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• pp.89-96
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• 2015

In this paper, time-frequency analysis algorithms, empirical mode decomposition and local mean decomposition, are reviewed and their applications to nonlinear and nonstationary real-world data are discussed. In addition, their generic extensions to complex domain are addressed for the analysis of multichannel data. Simulations of these algorithms on synthetic data illustrate the fundamental structure of the algorithms and how they are designed for the analysis of nonlinear and nonstationary data. Applications of the complex version of the algorithms to the synthetic data also demonstrate the benefit of the algorithms for the accurate frequency decomposition of multichannel data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권1호
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• pp.105-125
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• 2024

Gliomas are the most common malignant brain tumor and cause the most deaths. Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience. Manual brain tumor segmentation outcomes by different radiologists for the same patient may differ. Thus, more robust, and dependable methods are needed. Medical imaging researchers produced numerous semi-automatic and fully automatic brain tumor segmentation algorithms using ML pipelines and accurate (handcrafted feature-based, etc.) or data-driven strategies. Current methods use CNN or handmade features such symmetry analysis, alignment-based features analysis, or textural qualities. CNN approaches provide unsupervised features, while manual features model domain knowledge. Cascaded algorithms may outperform feature-based or data-driven like CNN methods. A revolutionary cascaded strategy is presented that intelligently supplies CNN with past information from handmade feature-based ML algorithms. Each patient receives manual ground truth and four MRI modalities (T1, T1c, T2, and FLAIR). Handcrafted characteristics and deep learning are used to segment brain tumors in a Global Convolutional Neural Network (GCNN). The proposed GCNN architecture with two parallel CNNs, CSPathways CNN (CSPCNN) and MRI Pathways CNN (MRIPCNN), segmented BraTS brain tumors with high accuracy. The proposed model achieved a Dice score of 87% higher than the state of the art. This research could improve brain tumor segmentation, helping clinicians diagnose and treat patients.

• 한국수자원학회논문집
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• 제43권3호
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• pp.257-264
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• 2010

강수량을 이용해 수문분석 할 경우 강수 자료의 양과 연속성은 분석의 신뢰성에 큰 영향을 미칠 수 있다. 따라서 강수 자료가 짧거나 기계 고장 등으로 인하여 결측된 경우에 강수 자료기간을 늘리거나 결측 자료를 보완하는 것은 매우 기본적인 과정이다. 이에 본 연구에서는 결측 강수량을 보완하기 위해서 적용되는 자료구동(Data-driven) 방법인 선형계획법을 많이 사용되는 7개 기법을 비교 분석하고 우수성을 검정한다. 이를 위해서 적용한 자료는 한강 유역 내에 있는 기상청 관할 관측소 중에 미계측 기간 15년을 포함하는 철원 관측소와 5개 주변 관측소의 17년간 강수량 자료이다. 그리고 검정된 방법을 적용하여 철원 관측소의 미계측 강수량을 보완하고 한강 유역의 32년간 유역 평균 강수량을 산출한다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 1998년도 춘계 학술대회논문집
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• pp.15-28
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• 1998

As an alternative for solving the incompressible Navier-Stokes equations, we present a vorticity-based integro-differential formulation for vorticity, velocity and pressure variables. One of the most difficult problems encountered in the vorticity-based methods is the introduction of the proper value-value of vorticity or vorticity flux at the solid surface. A practical computational technique toward solving this problem is presented in connection with the coupling between the vorticity and the pressure boundary conditions. Numerical schemes based on an iterative procedure are employed to solve the governing equations with the boundary conditions for the three variables. A finite volume method is implemented to integrate the vorticity transport equation with the dynamic vorticity boundary condition . The velocity field is obtained by using the Biot-Savart integral derived from the mathematical vector identity. Green's scalar identity is used to solve the total pressure in an integral approach similar to the surface panel methods which have been well-established for potential flow analysis. The calculated results with the present mettled for two test problems are compared with data from the literature in order for its validation. The first test problem is one for the two-dimensional square cavity flow driven by shear on the top lid. Two cases are considered here: (i) one driven both by the specified non-uniform shear on the top lid and by the specified body forces acting through the cavity region, for which we find the exact solution, and (ii) one of the classical type (i.e., driven only by uniform shear). Secondly, the present mettled is applied to deal with the early development of the flow around an impulsively started circular cylinder.

• 한국전산유체공학회지
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• 제3권1호
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• pp.11-21
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• 1998

A vorticity-based method for the numerical solution of the two-dimensional incompressible Navier-Stokes equations is presented. The governing equations for vorticity, velocity and pressure variables are expressed in an integro-differential form. The global coupling between the vorticity and the pressure boundary conditions is fully considered in an iterative procedure when numerical schemes are employed. The finite volume method of the second order TVD scheme is implemented to integrate the vorticity transport equation with the dynamic vorticity boundary condition. The velocity field is obtained by using the Biot-Savart integral. The Green's scalar identity is used to solve the total pressure in an integral approach similar to the surface panel methods which have been well established for potential flow analysis. The present formulation is validated by comparison with data from the literature for the two-dimensional cavity flow driven by shear in a square cavity. We take two types of the cavity now: (ⅰ) driven by non-uniform shear on top lid and body forces for which the exact solution exists, and (ⅱ) driven only by uniform shear (of the classical type).

• 대한원격탐사학회지
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• 제36권4호
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• pp.609-626
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• 2020

Satellite-based land surface temperature (LST) has been used as one of the major parameters in various climate and environmental models. Especially, Moderate Resolution Imaging Spectroradiometer (MODIS) LST is the most widely used satellite-based LST product due to its spatiotemporal coverage (1 km spatial and sub-daily temporal resolutions) and longevity (> 20 years). However, there is an increasing demand for LST products with finer spatial resolution (e.g., 10-250 m) over regions such as urban areas. Therefore, various methods have been proposed to produce high-resolution MODIS-like LST less than 250 m (e.g., 100 m). The purpose of this review is to provide a comprehensive overview of recent research trends and challenges for the downscaling of MODIS LST. Based on the recent literature survey for the past decade, the downscaling techniques classified into three groups-kernel-driven, fusion-based, and the combination of kernel-driven and fusion-based methods-were reviewed with their pros and cons. Then, five open issues and challenges were discussed: uncertainty in LST retrievals, low thermal contrast, the nonlinearity of LST temporal change, cloud contamination, and model generalization. Future research directions of LST downscaling were finally provided.

• 대한환경공학회지
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• 제36권6호
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• pp.421-428
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• 2014

상수관망의 수리학적 거동을 해석함에 있어 현재까지 제안된 일반적인 방법은 유량기반 수리해석(Demand Driven Analysis, DDA)과 압력기반 수리해석(Pressure Driven Analysis, PDA)이다. DDA는 상수관망이 정상적으로 운영되는 상태에서 수리해석 결과를 빠르게 제시할 수 있으며, PDA는 관파괴 및 관내 저압력 상태시 DDA 방법으로는 모의할 수 없는 각 절점의 실질적인 공급가능유량을 제시할 수 있다. PDA 수행에 있어 우선적으로 각 절점에서 특정 압력마다 공급가능유량을 산정할 수 있는 관계식(Head-Outflow Relationship, HOR)을 결정해야 한다. 기존 연구들에서는 상수관망을 구성하는 각 절점에서 HOR이 다르고 각 절점의 HOR 검증을 위해서는 현장데이터의 실측이 필요하다고 지적하였다. 또한 다중 관파괴 상황과 같이 수리학적 조건이 변경된 상태에서 각 절점의 HOR 특성을 파악하기 위해서는 모든 절점에 모니터링 시스템이 구축되어 있어야 하는 제약조건이 있다. 본 연구는 실제 상수관망 형태의 모의 상수관망을 제작하여 상수관망의 정상상태 및 현장에서 측정이 어려운 비정상상태 운영조건을 시나리오별로 구성하고 각 조건 하에서 절점들의 압력 및 유량을 실시간으로 확인하였다. 또한 측정된 실험결과와 기존 HOR 관계식을 비교 평가하여 최소 오차 결과를 보이는 HOR을 제시하였으며, 특정 절점에서 다중 관파괴 발생시 HOR 특성을 파악하였다. 이로부터 관파괴 위치가 다르거나 다중 관파괴가 발생하더라도 특정 절점의 압력(수두) 저하에 따른 공급가능유량의 축소 현상은 본래 대상 절점이 가지고 있는 지수함수 형태인 고유한 HOR을 따라 감소하는 것으로 확인되었다. 본 연구에서 실험을 통해 측정한 압력-유량 관계와 기존 HOR 식들을 비교한 결과 최소 오차를 보이는 지수함수 형태의 Wagner 등1)이 제안한 식을 최적의 HOR 관계식으로 제안하며, 해당 식의 지수 m은 3.0으로 적용할 것을 제안한다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.764-767
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• 2004

The performance of a speech recognition system is generally degraded in telephone environment because of distortions caused by background noise and various channel characteristics. In this paper, data-driven temporal filters are investigated to improve the performance of a specific recognition task such as telephone speech. Three different temporal filtering methods are presented with recognition results for Korean connected-digit telephone speech. Filter coefficients are derived from the cepstral domain feature vectors using the principal component analysis.

• ETRI Journal
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• 제32권5호
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• pp.810-818
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• 2010

This paper presents a new framework for integrating untranscribed spoken content into the acoustic training of an automatic speech recognition system. Untranscribed spoken content plays a very important role for under-resourced languages because the production of manually transcribed speech databases still represents a very expensive and time-consuming task. We proposed two new methods as part of the training framework. The first method focuses on combining initial acoustic models using a data-driven metric. The second method proposes an improved acoustic training procedure based on unsupervised transcriptions, in which word endings were modified by broad phonetic classes. The training framework was applied to baseline acoustic models using untranscribed spoken content from parliamentary debates. We include three types of acoustic models in the evaluation: baseline, reference content, and framework content models. The best overall result of 18.02% word error rate was achieved with the third type. This result demonstrates statistically significant improvement over the baseline and reference acoustic models.

• 한국해안해양공학회지
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• 제6권3호
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• pp.226-233
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• 1994

전난류에서 파와 해류가 합성하였을 때 발생하는 해저면 마찰력을 계산하는 방법을 고찰하였다. 전난류에서 일방향 흐름에 의한 마찰력의 산정방법으로 절점조정법을 제시하며, Bijker의 관측자료와 비교하여 절점조정치를 산정하였다. 파와 해류의 합성류에 의한 마찰력 계산방법으로 수정된 Bijker 모형(BYO Model)과 수정된 Fredsoe 모형(FY Model)을 Bijker의 관측자료에 적용하였으며, 두 모형 모두 한가지씩 새로운 개선책을 제시하였다.