• Communications of the Korean Mathematical Society
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• v.9 no.3
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• pp.671-686
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• 1994

다양체 M은 매끈하고(smooth) 콤팩트(compact) n 차원 리만다양체이고, 실가함수 f는 M상에서 미분가능 함수임을 가정한다. Morse 함수는 임계점(critical point)들이 모두 비퇴화(non-degenerate)인 실가함수이다. 만약 함수 f가 Morse 함수이고, 임의의 점 $x \in M$에서 $\gamma_x$는 x를 통과하는 흐름(flow)이면 $$ (*) \frac{d\gamma_x(t)}{dt} + \bigtriangledown_{\gamma x(t)}(f) = 0 $$ 이다. 여기서 $\bigtriangledown(f)$는 함수 f에 의해서 정의되는 기울기 벡터장이고 초기조건 $\gamma_x(0) = x$ 이다.

• 한국지형공간정보학회:학술대회논문집
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• 2002.03a
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• pp.9-16
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• 2002

본 연구에서는 광주를 고정으로 전라남도 4점과 전라북도 5점으로 삼각망을 구성하고 각 측점에서 관측한 데이터를 방송력과 정밀력을 이용하여 기선 해석을 실시하고 기선거리별 궤도력의 영향을 통계학적으로 비교 분석하여 전라남북도에 이르는 GPS관측망의 궤도력에 따른 각 기선별 오차분포를 정량화 할 수 있었고, 정밀력을 이용한 기선해석은 기준 공분산 값이 모두 1 미만으로 나타나 두 지역간의 지역적 변환계수와 지구중심절대좌표를 선정함에 있어 과대오차를 현저히 줄일 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.757-760
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• 2004

동영상은 포함하고 있는 정보량이 아주 많기 때문에, 영상처리기술 중에서도 데이터 압축기술은 대단히 중요하다. 본 논문에서는 DCT 이 외의 수법을 이용할 때의 동영상의 부호화에 대하여 검토하고, 특이값 전개에 주목한다. 이 방식이 DCT가 갖는 문제점을 모두 해결할 수 있는 것은 아니지만, 다른 방식에서의 영상부호화의 가능성을 보이고자 한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.95-106
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• 2014

In this study, the applicability of a standard vector model was evaluated using RIMGIS vector data and a portal based river-geospatial information web service system was developed using XML and JSON based data linkage between the server and the client. The RIMGIS vector data including points, lines, and polygons were converted to the Geospatial Data Model(GDM) developed in this study and were validated by layers. After the conversion, it was identified that the attribute data of a shape file remained without loss. The GeoServer GDB(GeoDataBase) that manages a DB in the portal was developed as a management module. The XML-based Geography Markup Language(GML) standards of OGC was used for accessing to and managing vector layers and encoding spatial data. The separation of data content and expression in the GML allowed the different expressions of the same data, convenient data revision and update, and enhancing the expandability. In the future, it is necessary to improve the access, exchange, and storage of river-geospatial information through the user's customized services and Internet accessibility.

• Journal of Life Science
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• v.19 no.6
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• pp.809-817
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• 2009

The phenotypes associated with a gene function are often the best clue to its role in the plant. Transgenic plants ectopically expressing or suppressing a gene can provide useful information related to the gene function. In this study, we constructed three vectors - pFGL571, pFGL846 and pFGL847 - for the Agrobacterium-mediated ectopic expression of plant genes using pPZP211 and modified CaMV 35S, UBQ3 or UBQ10 promoters. The three vectors have several merits such as small size, high copy in bacteria, enough restriction enzyme sites in multi cloning sites and nucleotide sequence information. Analysis of transgenic plants containing GUS or sGFP reporter genes under the control of modified CaMV 35S, UBQ3 or UBQI0 promoter revealed that all of the three promoters showed high activities during most developmental stages after germination and in floral organs. Furthermore, we generated a RNAi module vector, pFGL727, to suppress plant gene expressions and confirmed that pFGL727 is useful for the suppression of a gene expression using rice transgenic plants. Taken together, our new vectors would be very useful for the ectopic expression or the suppression of plant genes.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.2
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• pp.247-254
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• 2010

In this paper, a new approach has been studied correcting the geometric distortion of SPOT 4 imagery. Two new equations were induced by the relationship between satellite and the Earth in the space. line-of-sight (LOS) vector adjustment model for SPOT 4 imagery was implemented in this study. This model is to adjust LOS vector under the assumption that the orbital information of satellite provided by receiving station is uncertain and this uncertainty makes a constant error over the image. This model is verified using SPOT 4 satellite image with high look angle and thirty five ground points, which include 10 GCPs(Ground Control Points) and 25 check points, measured by the GPS. In total thirty five points, the geometry of satellite image calculated by given satellite information(such as satellite position, velocity, attitude and look angles, etc) from SPOT 4 satellite image was distorted with a constant error. Through out the study, it was confirmed that the LOS vector adjustment model was able to be applied to SPOT4 satellite image. Using this model, RMSEs (Root Mean Square Errors) of twenty five check points taken by increasing the number of GCPs from two to ten were less than one pixel. As a result, LOS vector adjustment model could efficiently correct the geometry of SPOT4 images with only two GCPs. This method also is expected to get good results for the different satellite images that are similar to the geometry of SPOT images.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.483-486
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• 2021

기존의 심층 강화학습은 상태, 행동, 정책 등을 모두 벡터 형태로 표현하는 강화학습으로서, 학습된 정책의 일반성과 해석 가능성에 제한이 있고 영역 지식을 학습에 효과적으로 활용하기도 어렵다는 한계성이 있다. 이러한 문제점들을 해결하기 위해 제안된 새로운 관계형 강화학습 프레임워크인 dNL-RRL은 상태, 행동, 그리고 학습된 정책을 모두 논리 서술자와 규칙들로 표현할 수 있다. 본 논문에서는 dNL-RRL을 기초로 공장 내 운송용 모바일 로봇의 제어를 위한 행동 정책 학습을 수행하였으며, 학습의 효율성 향상을 위해 인간 전문가의 사전 영역 지식을 활용하는 방안들을 제안한다. 다양한 실험들을 통해, 본 논문에서 제안하는 영역 지식을 활용한 관계형 강화학습 방법의 학습 성능 개선 효과를 입증한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.6 s.312
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• pp.57-64
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• 2006

Motion estimation plays an important role for the compression of video signals. The proposed method utilizes an adaptive threshold and characteristics of a distribution of SAD (sum of absolute difference). Generally, the more complex the SAD distribution is, the larger SAD value tends to be. This proposed algorithm tries to reduce the search points in a simple distribution but increase them in a complex distribution to avoid local minima. A macro block is divided into 9 areas. One of them chosen using spatio-temporal correlation is called the primary area and the others are called the secondary area that will be searched to avoid local minima. The proposed algorithm decides if just one area (the primary area or the secondary area) will be enough to be searched or both areas should be searched, using adaptive threshold. Compared with famous motion estimation algorithms, the simulation result shows that the searching points per macro block and MSE decreases about 16.4% and 32.83 respectively on the average.

• Journal of IKEEE
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• v.26 no.4
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• pp.742-745
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• 2022

In this paper, we propose a hybrid image processing and deep learning-based method for detecting the presence of power lines in infrared images. Deep learning-based methods can learn feature vectors from a large number of data without much effort, resulting in outstanding performances in various fields. However, it is difficult to apply human intuition to the deep learning-based methods while image processing techniques can be used to apply human intuition. Based on these, we propose a method that exploits both advantages to detect the existence of power lines in infrared images. To this end, five methods have been applied and compared to find the most effective image processing technique for detecting the presence of power lines. As a result, the proposed method achieves 99.48% of accuracy which is higher than those of methods based on either image processing or deep learning.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.993-1000
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• 2015

Mel-Frequency Cepstral Coefficients(: MFCC) is one of the noble feature vectors for speech signal processing. An evident drawback in MFCC is that the phase information is lost by taking the magnitude of the Fourier transform. In this paper, we consider a method of utilizing the phase information by treating the magnitudes of real and imaginary components of FFT separately. By applying this method to speech recognition with FVQ/HMM, the speech recognition error rate is found to decrease compared to the conventional MFCC. By numerical analysis, we show also that the optimal value of MFCC components is 12 which come from 6 real and imaginary components of FFT each.