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음악기보 인식을 위한 다중필터의 설계 및 유사판별 성능분석 (Design of optimal multiplexed filter and an analysis on the similar discrimination for music notatins recognition)

  • 유진선;김남
    • 전자공학회논문지D
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    • 제34D권6호
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    • pp.65-74
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    • 1997
  • In this paper, SA-multiplexed filter is designed using SA (simulated ananealing) to recognize music notation patterns varying in size, shape, position and having considerably many similar shapes for optical pattern recognition system. This filter has correlation resutls at wanted location and can identify same class, classify similar class for scale-varianted or rotation-varianted music notation patterns havng learning process. Also, the optimum filter is oriented to analyze on the similar discrimination at acquired position using SA and enhances optical diffractive efficiency as well as peak beam intensity. Compared with POF *(phase only filter), cosine-BPOF(cosine-binary phase only filter), that has excellent discrimination capability even if the different rate is 0.1% quantitatively.

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TILINGS OF PARALLELOGRAMS WITH SIMILAR TRIANGLES

  • Su, Zhanjun;Ding, Ren
    • Journal of applied mathematics & informatics
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    • 제23권1_2호
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    • pp.321-327
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    • 2007
  • We say that a triangle ${\Delta}$ tiles the polygon ${\rho}\;if\;{\rho}$ can be decomposed into finitely many non-overlapping triangles similar to ${\Delta}$. Let ${\rho}$ be a parallelogram with angles ${\delta}\;and\;{\pi}-{\delta}\;(0<{\delta}{\leq}{\pi}/2)$ and let ${\Delta}$ be a triangle with angles ${\alpha};{\beta},\;{\gamma}\;({\alpha}{\leq}{\beta}{\leq}{\gamma})$. We prove that if ${\Delta}$ tiles ${\rho}$ then either ${\delta}{\in}\;({\alpha},\;{\beta},\;{\gamma},\;{\pi}-{\gamma},\;{\pi}-2{\gamma})\;or\;dimL_{\rho}=dimL_{{\Delta}}$. We also prove that for every parallelogram P, and for every integer n $(where\;n{\geq}2,\;n{\neq}3)$ there is a triangle ${\Delta}$ so that n similar copies of ${\Delta}\;tile\;{\rho}$.

고립 단어 인식 결과의 비유사 후보 단어 제외 성능을 개선하기 위한 다양한 접근 방법 연구 (Various Approaches to Improve Exclusion Performance of Non-similar Candidates from N-best Recognition Results on Isolated Word Recognition)

  • 윤영선
    • 말소리와 음성과학
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    • 제2권4호
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    • pp.153-161
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    • 2010
  • Many isolated word recognition systems may generate non-similar words for recognition candidates because they use only acoustic information. The previous study [1,2] investigated several techniques which can exclude non-similar words from N-best candidate words by applying Levenstein distance measure. This paper discusses the various improving techniques of removing non-similar recognition results. The mentioned methods include comparison penalties or weights, phone accuracy based on confusion information, weights candidates by ranking order and partial comparisons. Through experimental results, it is found that some proposed method keeps more accurate recognition results than the previous method's results.

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Performance Analysis of ABR Congestion Control Algorithm using Self-Similar Traffic

  • Kim, Dong-Il;Jin, Sung-Ho
    • Journal of information and communication convergence engineering
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    • 제2권1호
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    • pp.15-21
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    • 2004
  • One of the most important issues in designing a network and realizing a service is dealing with traffic characteristics. Recent experimental research on LAN, WAN, and VBR traffic properties has highlighted that real traffic specificities can not be displayed because the current models based on the Poisson assumption under estimate the long range dependency of network traffic and self-similar peculiarities. Therefore, a new approach using self-similarity characteristics as a real traffic model was recently developed. In This paper we discusses the definition of self-similarity traffic. Moreover, real traffic was collected and we generated self-similar data traffic like real traffic to background load. On the existing ABR congestion control algorithm transmission throughput with the representative ERICA, EPRCA and NIST switch algorithm show the efficient reaction about the burst traffic.

맥진연구를 위한 심혈관계 시뮬레이터의 개발 (Development of the Cardiovascular Simulator for Pulse Diagnosis Study)

  • 이주연;신상훈
    • 대한한의진단학회지
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    • 제16권1호
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    • pp.19-26
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    • 2012
  • Objectives The aim of this study is to develop a cardiovascular simulator that can reproduce blood pressure pulse and blood flow similar to those of the human body. Methods In order to design a system similar to the human cardiovascular system, the required performances were determined by investigating the hemodynamic characteristics of the heart and the arterial system. Main organ to be imitated is heart in simulator. The rest of the system was minimally designed. Also, a blood pressure and blood flow measurement system was developed for measuring the results. Results The developed system showed blood pressure pulse at similar range of the human aorta. The result waveform include primary wave caused by ventricular systole except reflected wave. Conclusions The blood pressure and blow flow patterns were replicated by the simulator. These patterns were similar to those of the human body. The system will play an important role in studying pulse diagnostics.

Machine learning-based categorization of source terms for risk assessment of nuclear power plants

  • Jin, Kyungho;Cho, Jaehyun;Kim, Sung-yeop
    • Nuclear Engineering and Technology
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    • 제54권9호
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    • pp.3336-3346
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    • 2022
  • In general, a number of severe accident scenarios derived from Level 2 probabilistic safety assessment (PSA) are typically grouped into several categories to efficiently evaluate their potential impacts on the public with the assumption that scenarios within the same group have similar source term characteristics. To date, however, grouping by similar source terms has been completely reliant on qualitative methods such as logical trees or expert judgements. Recently, an exhaustive simulation approach has been developed to provide quantitative information on the source terms of a large number of severe accident scenarios. With this motivation, this paper proposes a machine learning-based categorization method based on exhaustive simulation for grouping scenarios with similar accident consequences. The proposed method employs clustering with an autoencoder for grouping unlabeled scenarios after dimensionality reductions and feature extractions from the source term data. To validate the suggested method, source term data for 658 severe accident scenarios were used. Results confirmed that the proposed method successfully characterized the severe accident scenarios with similar behavior more precisely than the conventional grouping method.

닮음 법칙에 의한 굽힘 및 드레이프 형상의 해석 (Analysis of Shapes of Bending and Draping by the Model Rule)

  • 서정권;이정욱
    • 한국의류학회지
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    • 제20권6호
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    • pp.1116-1124
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    • 1996
  • The factors to presume the shapes of bending and draping were examined in this study, by applying the similar phenomenon and theory of analysis. The findings were as followings: 1. The value of deflection angle (f) of deflection curve were almost consistent with those of K number and the shapes of deflection curve were congruent, under the condition of that the values of EI/w are almost similar and the lengths of samples are consistent. 2. The values of drape area, drape coefficient, mean of deflection angle, and $\pi$ number were consistently estimated and the shapes of drape were almost the same, under the condition of that the values of EI/w are similar and the diameter of samples are consistent. 3. In using the samples with different values of EI/w, scale factor, kl, was obtained from the formula, the shapes of bending of the referent samples and compsactive smaples was geometrically similar, which the lengths of samples were 1,1'and were satisfied with the formula, hi: L'11, and their $\pi$ number were also consistent. 4. In applying the samples with different values of Rllw, scale factor (kl) was obtained and then, when semidiameter of samples was adjusted to be satisfied with the formula, k1=L/L, the shapes of draping of referent samples and comparative samples were geometrically similar. Furthermore, their $\pi$ number was also consistent. 5. The shares of bending and draping could be changed in terms of three factors such as the lengths of samples, bending ridigity, and weigths per unit area. $\pi$ number was obtained from theory of similar phenomenon, which was index to presume shapes of bending and the shapes of draping getting from the three factors.

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동의보감(東醫寶鑑) 두문(頭門) 처방의 네트워크 분석을 통해 간략화한 두부(頭部) 증상의 주요 원인 및 처방 (The Major Causes and Prescriptions for Head Symptoms in Donguibogam Simplified by Network Analysis)

  • 김철현;추홍민;문연주;성강경;이상관
    • 대한한방내과학회지
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    • 제38권6호
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    • pp.1000-1006
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    • 2017
  • Objectives: Head symptoms, such as headache and dizziness, are commonly presented in clinical practice. Although Donguibogam, the representative book of Korean medicine, contains many prescriptions for head symptoms, they are difficult to learn and apply because of the vast numbers. The aim of this study was to simplify and visualize the vast contents of Donguibogam by network analysis. Methods: 127 prescriptions for head symptoms, found in Donguibogam, were entered into a Microsoft office Excel 2013 file. This was used as a database for network analysis using the NetMiner 4 program. Results: Through network analysis, six networks for prescriptions for head symptoms in Donguibogam were established. The first network is similar to the herb composition of Cheongsangsahwa-tang (prescriptions for hwa-yeol syndrome). The second network is similar to the herb composition of Yanghyulgupung-tang (prescriptions for hyul-heo syndrome). The third network is similar to the herb composition of Sangcheongbaekbuja-hwan (prescriptions for dam-eum syndrome). The fourth network is similar to the herb composition of Heukseok-dan (prescriptions for yang-heo syndrome). The fifth network is similar to the herb composition of Boheo-eum (prescriptions for chil-jeong syndrome). The sixth network is similar to the herb composition of Bangpungtongseong-san (prescriptions for hwa-yeol syndrome). Conclusions: The results of the network analysis of 127 prescriptions for head symptoms in Donguibogam suggest that there are five major causes of head symptoms (hwa-yeol, hyul-heo, dam-eum, yang-heo, and chil-jeong), and that it is possible to prescribe Cheongsangsahwa-tang, Bangpungtongseong-san, Yanghyulgupung-tang, Sangcheongbaekbuja-hwan, Heukseok-dan, or Boheo-eum depending on the major causes.

OPNET을 이용한 자기유사성 트래픽 발생기 설계 및 성능 평가 (Implementation and Performance Evaluation of Self-Similar Traffic Generator Using OPNET)

  • 한경은;정광본;이승현;김영천
    • 한국통신학회논문지
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    • 제31권5A호
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    • pp.441-450
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    • 2006
  • 최근 인터넷 사용자가 급증함에 따라 전체 인터넷 트래픽의 90%이상을 차지하는 IP 트래픽이 통신망 성능에 미치는 영향은 매우 크다. 따라서 효율적인 망의 설계와 설계된 망의 정확한 성능 평가를 위하여 IP 트래픽의 특성을 반영한 자기유사성(self-similarity) 트래픽 발생기의 설계는 매우 중요하다. 본 논문에서는 OPNET을 이용하여 자기유사성 트래픽 발생기를 설계한다. 이를 위해 Pareto 분포를 갖는 ON-OFF 소스를 이용하고, 이를 다중화하여 중첩시킴으로써 자기유사성의 특성을 구현하였다. 또한 구현한 자기유사성 트래픽 발생기의 성능 평가를 위하여 다양한 통계학적인 접근방법을 통해 자기유사성의 특성을 분석 검증하고, 입력부하 및 다중화 된 소스의 개수에 따른 영향을 분석하였다. 설계된 자기유사성 트래픽 발생기는 유무선 통신망 모델 구현 및 성능 평가 시 IP 트래픽 발생기로 활용될 수 있으며, 자기유사성 트래픽 모델링에서 요구되는 구체적인 파라미터 값의 결정에도 도움이 될 것으로 기대된다.

개인정보영향평가 자격기준의 문제분석과 개선방안 연구 - 유사자격과 개인정보영향평가 자격체계와의 유사성 분석을 중심으로 (A Study in the Improvement and Analysis Problem of Privacy Impact Assessment Qualification Criteria: focus on Similarity Analysis between Similar Certificates and Certification System of Privacy Impact Assessment)

  • 김이랑;심미나;임종인
    • 정보보호학회논문지
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    • 제23권1호
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    • pp.127-142
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    • 2013
  • 2011년 9월 개인정보보호법의 발효로 공공기관의 개인정보영향평가가 의무화됨에 따라 영향평가 전문인력의 수요가 증가할 것으로 예상된다. 하지만 국내에는 이에 특화된 전문자격이 존재하지 않아 현 시점에서는 불가피하게 유사자격 등의 기준으로 영향평가 전문인력을 인정하고 있는 상황이나, 향후 중장기적으로 볼 때 이는 영향평가 시장의 걸림돌로 작용할 것으로 예상된다. 이에 본 논문에서는 유사자격과 영향평가 자격체계와의 비교를 통해 개인정보영향평가 자격요건에 대한 유사자격의 충족 여부를 분석하여 유사자격 인정의 타당성 여부를 확인한다. 비교 결과 유사자격의 타당성이 낮다고 판단됨에 따라 새로운 전문자격 수립, 유사자격에 추가 시험 또는 교육 운영, 전문자격의 모듈화 운영 등의 자격기준 개선방안을 제시하였으며, 세 가지 개선방안은 개인정보영향평가 시장의 품질 향상에 기여할 것으로 기대한다.