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

  • Yeun, Jin-Seon;Kim, Nam
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.34D no.6
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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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    • v.23 no.1_2
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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 ${\Delta}\;tile\;{\rho}$.

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

  • Yun, Young-Sun
    • Phonetics and Speech Sciences
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    • v.2 no.4
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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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    • v.2 no.1
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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.

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

  • Lee, Ju-Yeon;Shin, Sang-Hoon
    • The Journal of the Society of Korean Medicine Diagnostics
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    • v.16 no.1
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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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    • v.54 no.9
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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.

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

  • 서정권;이정욱
    • Journal of the Korean Society of Clothing and Textiles
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    • v.20 no.6
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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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The Major Causes and Prescriptions for Head Symptoms in Donguibogam Simplified by Network Analysis (동의보감(東醫寶鑑) 두문(頭門) 처방의 네트워크 분석을 통해 간략화한 두부(頭部) 증상의 주요 원인 및 처방)

  • Kim, Cheol-hyun;Chu, Hong-min;Moon, Yeon-ju;Sung, Kang-keyng;Lee, Sang-kwan
    • The Journal of Internal Korean Medicine
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    • v.38 no.6
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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.

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

  • Han Kyeong-Eun;Jung Kwang-Bon;Lee Seung-Hyun;Kim Young-Chon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5A
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    • pp.441-450
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    • 2006
  • Recently, with the exponential growth of the number of Internet users, IP traffic which occupies more than 90 percent of the entire Internet traffic affects significantly to the performance of networks. Therefore, the design of the self-similar traffic generator reflected the feature of IP traffic is very important to design the networks efficiently and evaluate the performance of it correctly. In this paper, we design the self-similar traffic generator using OPNET. In order to implement the self-similar characteristics, ON-OFF sources with Pateto distribution are employed and aggregated. The designed self-similarity traffic generator is evaluated and verified with R/S plot, variance time(VT) plot under the various offered loads and the number of sources. It is expected that the designed self-similar traffic generator can be put to practical use when wire or wireless networks is designed and verified as well as it can be useful to decide the specific parameter value for Internet traffic modeling.

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 (개인정보영향평가 자격기준의 문제분석과 개선방안 연구 - 유사자격과 개인정보영향평가 자격체계와의 유사성 분석을 중심으로)

  • Kim, Erang;Shim, Mina;Lim, Jong In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.1
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    • pp.127-142
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    • 2013
  • Since Personal Information Protection Act came into effect on September 2011, PIA(Privacy Impact Assessment) of public institutions has become obliged. Therefore, an increasing demand for PIA professionals is being expected. In domestic, however, no specialized certificates exist and therefore similar certificates have become a requirement for PIA professionals. Henceforth, however, the system based on these similar certificates is to be an obstacle to advancing PIA. Therefore, this study analyzes the sufficiency of current similar certificates compared with the PIA qualification requirements. And then, analyzes the validity of allowance as similar certificates by using this outcome of the validity. As this comparison draws a clear gap between PIA qualification and similar certificates, this paper suggest three suggestions to improve current qualification. Three suggestions are expected to contribute a qualitative improvement of the PIA industry.