• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2034-2036
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• 2003

본 논문에서는 21차 상태변수를 갖는 칼만필터 형태의 비행시험용 데이터 융합필터 알고리듬의 성능을 분석하였다. 실측 데이터에 대한 분석을 통하여 상태변수 선택의 적절성을 검증하였다. 공분산 해석기법을 통하여 기 개발된 데이터 융합 알고리듬의 추정값의 오차범위를 구하였다. 수치적인 성능값을 구하고자 간단한 시뮬레이터를 설계하였다. 20회 몬테칼로 시뮬레이션과 공분산 해석결과에 기반하여 필터 계수를 튜닝하였고 이를 기설계된 분산형 칼만필터에 적용하였다. 실시간 소프트웨어 모듈의 수행결과를 동일한 실측데이터를 적용한 후처리 실험결과와 비교하였다.

• Proceedings of the Korea Contents Association Conference
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• 2018.05a
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• pp.299-300
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• 2018

혁신적이고 파격적인 리듬과 다채로운 관현악법으로 구성된 스트라빈스키의 발레음악 <봄의 제전>은 공상 속 '이교도들의 엄숙한 제전'이라는 장면에서 영감을 얻어 무대음악으로 형상화 시킨 작품이다. 이 작품은 작곡가가 구성하고자 하는 장면을 토대로 만들어진 음악이기 때문에 장면구성을 위한 음악적 요소와 특징이 존재한다. 이것은 분명 연주만을 위한 음악과는 의도하는 바가 다를 것이라고 생각하여 그것을 <봄의 제전>을 통해 분석해보았다. <봄의 제전>은 급변하는 템포와 잦은 변박, 혁신적인 리듬사용을 통해 원시적이고 본능적이며 생명력 있는 장면을 효과적으로 묘사하고 구성하였다. 음악적 분석을 바탕으로 모리스 베자르(Maurice Bejart)와 피나 바우쉬(Pina Bausch)의 안무 작품에 대입하여 실제 안무작품의 장면에서는 어떻게 활용되는지를 알아보았을 때, 세부적인 안무와 연출의 차이는 있지만 장면구성을 위한 특징적인 부분에서는 음악이 의도하는 장면과 같은 맥락의 움직임을 볼 수 있었다.

• Geophysics and Geophysical Exploration
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• v.10 no.2
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• pp.154-160
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• 2007

This paper compares the characteristics of three different algorithms for three-dimensional (3D) magnetotelluric (MT) modeling. These methods are developed by Mackie et al. (1994), Sasaki (1999) and Nam et al. (2007). The first and second methods are based on the finite difference method (FDM), while the last one the finite-element method (FEM). MT responses, apparent resistivities and phases, for a COMMEMI 3D-2 model show a good agreement with integral equation solutions and only minor discrepancies are found over the anomalous bodies in the 3D model. The computation time of the two methods based on FDM is short and the static divergence correction contributes to speed up. The FEM modeling scheme is accurate but slow.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.3
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• pp.477-489
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• 2014

Based on some flaws occurred for implementing a public key cryptosystem in the embedded security device, many side-channel attacks to extract the secret private key have been tried. In spite of the fact that the cryptographic exponentiation is basically composed of a sequence of multiplications and squarings, a new Square Always exponentiation algorithm was recently presented as a countermeasure against side-channel attacks based on trading multiplications for squarings. In this paper, we propose Known Power Collision Analysis and modified Doubling attacks to break the Right-to-Left Square Always exponentiation algorithm which is known resistant to the existing side-channel attacks. And we also present a Collision-based Combined Attack which is a combinational method of fault attack and power collision analysis. Furthermore, we verify that the Square Always algorithm is vulnerable to the proposed side-channel attacks using computer simulation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.681-691
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• 2017

In the clutter environment, it is necessary to update the target tracking filter by detecting the target signal among many measured value data obtained via the radar system, the track does not diverge, and tracking performance is maintained. The method of associating the measurement most relevant to the target track among numerous measurement values is referred to as data association. PSNF and PSNF-m are data association methods of SN-series. In this paper, we provide an IPSNF-m(Integrated Probabilistic Strongest Neighbor Filter-m) algorithm with a track management method based on the track existence probability in PSNF-m algorithm. This algorithm considers not only the presence of the target but also the case where the target is present but not detected. Calculating the probability of each caseenables efficient management. In order to verify the performance of the proposed IPSNF-m, the track existence probability of the IPSNF algorithm applying the track management technique to PSNF, which is known to have similar performance to PSNF-m, is derived. Through simulation in the same environment, we compare and analyze the proposed algorithm with RMSE, Confirmed True Track, and Track Existence Probability that show better performance in terms of track retention and estimation than the existing PSNF-m and IPSNF algorithms.

• Journal of Korea Water Resources Association
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• v.30 no.4
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• pp.347-355
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• 1997

In this study, the applicability of genetic algorithms into the parameter estimation of storage function method for flood routing model is investigated. Genetic algorithm is mathematically established theory based on the process of Darwinian natural selection and survival of fittest. It can be represented as a kind of search algorithms for optima point in solution space and make a reach on optimal solutions through performance improvement of assumed model by applying the natural selection of life as mechanical learning province. Flood events recorded in the Daechung dam are selected and used for the parameter estimation and verification of the proposed parameter estimation method by the split sample method. The results are analyzed that the performance of the model are improved including peak discharge and time to peak and shown that the parameter Rsa, and f1 are most sensitive to storage function model. Based on the analysis for estimated parameters and the comparison with the results from experimental equations, the applicability of genetic algorithm is verified and the improvements of those equations will be used for the augmentation of flood control efficiency.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.59-70
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• 2021

This paper studies and analyzes the effect of illustrations in picture books on time representation with fictional picture books as the study scope. In this paper, the time type of picture books can be divided into time point, timeline and time rhythm, referring to case analysis from time symbolic elements, picture layout and picture sequence respectively. First of all, time symbolic elements are referred to the time point and time rhythm. The materialized time symbolic element is things that can directly represent time and trigger associations with time; the color symbolic element means the color changes in the real world within a certain time; the contrast of light and shadow corresponds to the changes in a day. Fast-moving objects will be presented with dashed or blurred lines, while static, stable and slow objects will be depicted with solid lines. Secondly, the picture layout of illustrations in picture books is suitable for representing the content of the timeline and describing the sequence or causality of events. Finally, the picture sequence can represent the timeline, time rhythm and "synchronicity". It will make use of visual logic to win readers' trust in time information expressed in pictures, and then follow and connect viewpoints on the basis of adapting to reading habits. The essence of time representation in picture books is to express time by space, and use different combinations of elements in space and visual guidance to convey time information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.3A
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• pp.188-195
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• 2002

The M-algorithm for decoding convolutional codes can significantly reduce the complexity of the Viterbi algorithm by tracking a fixed number of survivor paths in each level of the decoding trellis. It is an easily-implementable algorithm suited for real-time processing of high-speed data. The algorithm, however, generates a sequence of catastrophic errors when the correct path is not included in the set of survivor paths. In this paper, the performance of the M-algorithm obtained from using various decoding complexity levels, frame lengths, and code constraint lengths is presented. The performance gain is quantified when the algorithm is used in conjunction with codes of increased constraint length. In particular, it is demonstrated the gain from the increased code free distance overcompensates the loss from the correct path being excluded from the survivors, when the frame length is short to moderate. Using 64 survivor paths, the signal-to-noise ratio gain obtained by increasing the constraint length from K=7 to K=9, 11, 15 is respectively 0.6, 0.75, and 08dB, when the frame of length L=100 has the frame error rate of 0.01%.

• Phonetics and Speech Sciences
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• v.14 no.3
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• pp.51-66
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• 2022

This study aims to help Korean English learners to learn English pronunciation by revealing which suprasegmentals affect the implementation of English sentences closer to native English speakers when they read English sentences. To this end, Korean middle school English learners were selected as subjects and research data were gathered through sentence types (declarative, interrogative, imperative, and exclamative), as well as syllables. Speech rate, pause frequency, pause duration, F0 range, and rhythm among suprasegmentals were used for analysis of these English sentence utterances. Mean analysis, correlation analysis, and regression analysis were performed. The results showed that speech rate, pause frequency, pause duration, and F0 range affected the evaluation of fluency levels. In the regression analysis between all suprasegmentals and fluency levels, the suprasegmentals that most affected fluency levels were speech rate and F0 range. Rhythm had no meaningful relation with fluency levels. Therefore, when teaching English pronunciation, it is necessary to teach students to increase their speech rate and F0 range. In addition, students should be trained to reduce both the number and the duration of pauses during utterance to improve their fluency. It is noteworthy that of the four sentence types, exclamative sentences were produced with faster speech rate, fewer pauses, shorter pause duration, and higher rhythm values.

• 한국지형공간정보학회:학술대회논문집
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• 1993.10a
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• pp.141-145
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• 1993

A new digital change detection algorithm, Euclidean Distance Analysis, was developed in an attempt to utilize the multi-band information in a selected band-comination, as an alternative to the conventional single-band analysis methods. To evaluate the relative performance of this new method, image differencing was applied. The better performance in change detection between the two algorithms investigated was provided by the Euclidean distance analysis. The new technique of Euclidean distance analysis holds promise for change detection, since it summarizes the multiple-band information on the cover-type changes and reduces the data dimensionality. It is suggested to further evaluate this new method, quantitatively, in the different environments. The use of different accuracy indices was also examined in the determining the optimal threshold level for each change image. As the standard measure for classification accuracy, the Kappa coefficient of agreement was used for evaluation.