• Title/Summary/Keyword: Multi-Threshold

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Image Segmentation of Teeth Region by Color Image Analysis (컬러 영상 분할 기법을 활용한 치아 영역 자동 검출)

  • Lee, Seong-Taek;Kim, Kyeong-Seop;Yoon, Tae-Ho;Kim, Kee-Deog;Park, Won-Se
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.6
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    • pp.1207-1214
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    • 2009
  • In this study, we propose a novel color-image segmentation algorithm to discern the teeth region utilizing RG intensity and its relevant RGB histogram features with resolving the variations of its maximum intensity in terms of peaks and valleys. Tooth candidates in a CCD image are first extracted by applying RGB color multi-threshold levels and consequently the successive morphological image operations and a Sobel-mask edge processing are performed to resolve the teeth region and its contour.

Topology Optimal Interior Permanent Magnet Machine to Improve the Utilization Ratio of Permanent Magnet (영구자석 사용 효율 향상을 위한 IPM 전동기의 최적 토폴로지)

  • Tao, Xu;Zhang, Dianhai;Zhu, Lixun;Koh, Chang-Seop
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.862-863
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    • 2015
  • This paper presents an improved estimation procedure for the contribution to no-load flux linkage created by the permanent magnet (PM) in interior permanent magnet synchronous machines. In the proposed method, the saturation effect in stator and rotor cores are taken into account by utilizing the frozen permeability method (FPM). This improved procedure can evaluate the contribution for each local element in the PM to the no-load flux linkage. According to the analysis results, an effective PM topology optimal design can be carried out to achieve high utilization ratio of PM in the machine. In order to determine the threshold of the low contribution of PM for removing, one multi-objective optimization model is proposed. Based on the optimal threshold, the final optimal topology design of PM can be achieved.

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Confidence Measure for Utterance Verification in Noisy Environments (잡음 환경에서의 인식 거부 성능 향상을 위한 신뢰 척도)

  • Park, Jeong-Sik;Oh, Yung-Hwan
    • Proceedings of the KSPS conference
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    • 2006.11a
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    • pp.3-6
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    • 2006
  • This paper proposes a confidence measure employed for utterance verification in noisy environments. Most of conventional approaches estimate the proper threshold of confidence measure and apply the value to utterance rejection in recognition process. As such, their performance may degrade for noisy speech since the threshold can be changed in noisy environments. This paper presents further robust confidence measure based on the multi-pass confidence measure. The isolated word recognition based experimental results demonstrate that the proposed method outperforms conventional approaches as utterance verifier.

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Capacity Analysis of Smart Antenna Systems with Macro Diversity (스마트 안테나를 적용한 기지국 다이버시티에 의한 셀의 용량분석 연구)

  • 이명원;한진규;육종관;박한규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.3B
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    • pp.212-219
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    • 2002
  • In this paper, how to perform beamforming and power control for the systems with smart antennas is introduced in consideration of macro-diversity, and cell capacity of the systems is analyzed. In the result, as the number of the base stations linked to mobiles increases, capacity increases in the reverse link. On the other hand, macro diversity causes capacity loss in forward link. It is expected that the result of this work may be used in designing the next generation mobile communication systems for high quality services such as multi media data and wireless internet etc.

A Simple Approach of Improving Back-Propagation Algorithm

  • Zhu, H.;Eguchi, K.;Tabata, T.;Sun, N.
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.1041-1044
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    • 2000
  • The enhancement to the back-propagation algorithm presented in this paper has resulted from the need to extract sparsely connected networks from networks employing product terms. The enhancement works in conjunction with the back-propagation weight update process, so that the actions of weight zeroing and weight stimulation enhance each other. It is shown that the error measure, can also be interpreted as rate of weight change (as opposed to ${\Delta}W_{ij}$), and consequently used to determine when weights have reached a stable state. Weights judged to be stable are then compared to a zero weight threshold. Should they fall below this threshold, then the weight in question is zeroed. Simulation of such a system is shown to return improved learning rates and reduce network connection requirements, with respect to the optimal network solution, trained using the normal back-propagation algorithm for Multi-Layer Perceptron (MLP), Higher Order Neural Network (HONN) and Sigma-Pi networks.

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High Power Coherent Beam Combining Setup Using Modified Cascaded Multi-dithering Technique

  • Ahn, Hee Kyung;Lee, Hwihyeong;Kong, Hong Jin
    • Current Optics and Photonics
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    • v.2 no.5
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    • pp.431-435
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    • 2018
  • A modified setup of a CMD technique for high power coherent beam combining was presented to address an issue of low damage threshold of electro-optic modulators. The feasibility of the modified setup was demonstrated by combining eight fiber beams, and it was successfully performed with ${\lambda}/44$ of residual phase error and 100 Hz of control bandwidth. It is expected that the modified CMD setup facilitates ultra-high power coherent beam combination without a limitation caused by the low damage threshold of electro-optic modulators.

A Study on Efficient Security Technique in Ad Hoc Network (Ad hoc Network에서 효율적인 보안 기법에 관한 연구)

  • Yang, Hwan-Seok;Kim, Jong-Min;Jeong, Jong-Pil;Lee, Woong-Ki
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1189-1192
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    • 2004
  • Ad hoc network는 중앙 집중화된 관리나 표준화된 지원 서비스의 도움 없이 임시 망을 구성하는 무선 이동 호스트들의 집합으로서 제한된 무선 채널을 통해 이동 노드간의 통신을 수행하는 멀티 홉(multi-hop) 무선 네트워크이다. 따라서 중앙 집중화된 보안 기반구조가 아니기 때문에 보안 공격을 받기가 쉽게 된다. 기존의 보안 방법중의 하나인 threshold cryptography는 키의 유지와 분배를 위한 효율적인 구조를 제공하였으나 라우팅의 오버헤드가 증가하였고, 네트워크 전역의 트래픽이 증가되었다. 본 논문에서는 threshold cryptography에 의해 야기되는 오버헤드를 줄이고 인증된 패킷 전달을 돕기 위한 새로운 접근 방법을 제안한다.

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ANALYSIS OF M/M/c RETRIAL QUEUE WITH THRESHOLDS, PH DISTRIBUTION OF RETRIAL TIMES AND UNRELIABLE SERVERS

  • CHAKRAVARTHY, SRINIVAS R.;OZKAR, SERIFE;SHRUTI, SHRUTI
    • Journal of applied mathematics & informatics
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    • v.39 no.1_2
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    • pp.173-196
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    • 2021
  • This paper treats a retrial queue with phase type retrial times and a threshold type-policy, where each server is subject to breakdowns and repairs. Upon a server failure, the customer whose service gets interrupted will be handed over to another available server, if any; otherwise, the customer may opt to join the retrial orbit or depart from the system according to a Bernoulli trial. We analyze such a multi-server retrial queue using the recently introduced threshold-based retrial times for orbiting customers. Applying the matrix-analytic method, we carry out the steady-state analysis and report a few illustrative numerical examples.

Carpal Bone Segmentation Using Modified Multi-Seed Based Region Growing

  • Choi, Kyung-Min;Kim, Sung-Min;Kim, Young-Soo;Kim, In-Young;Kim, Sun-Il
    • Journal of Biomedical Engineering Research
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    • v.28 no.3
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    • pp.332-337
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    • 2007
  • In the early twenty-first century, minimally invasive surgery is the mainstay of various kinds of surgical fields. Surgeons gave percutaneously surgical treatment of the screw directly using a fluoroscopic view in the past. The latest date, they began to operate the fractured carpal bone surgery using Computerized Tomography (CT). Carpal bones composed of wrist joint consist of eight small bones which have hexahedron and sponge shape. Because of these shape, it is difficult to grasp the shape of carpal bones using only CT image data. Although several image segmentation studies have been conducted with carpal bone CT image data, more studies about carpal bone using CT data are still required. Especially, to apply the software implemented from the studies to clinical fIeld, the outcomes should be user friendly and very accurate. To satisfy those conditions, we propose modified multi-seed region growing segmentation method which uses simple threshold and the canny edge detector for finding edge information more accurately. This method is able to use very easily and gives us high accuracy and high speed for extracting the edge information of carpal bones. Especially, using multi-seed points, multi-bone objects of the carpal bone are extracted simultaneously.

Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization

  • Das, Subhajit;Dhang, Nirjhar
    • Smart Structures and Systems
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    • v.25 no.3
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    • pp.345-368
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    • 2020
  • The present work proposes a self-controlled multi-stage optimization method for damage identification of structures utilizing standard particle swarm optimization (PSO) algorithm. Damage identification problem is formulated as an inverse optimization problem where damage severity in each element of the structure is considered as optimization variables. An efficient objective function is formed using the first few frequencies and mode shapes of the structure. This objective function is minimized by a self-controlled multi-stage strategy to identify and quantify the damage extent of the structural members. In the first stage, standard PSO is utilized to get an initial solution to the problem. Subsequently, the algorithm identifies the most damage-prone elements of the structure using an adaptable threshold value of damage severity. These identified elements are included in the search space of the standard PSO at the next stage. Thus, the algorithm reduces the dimension of the search space and subsequently increases the accuracy of damage prediction with a considerable reduction in computational cost. The efficiency of the proposed method is investigated and compared with available results through three numerical examples considering both with and without noise. The obtained results demonstrate the accuracy of the present method can accurately estimate the location and severity of multi-damage cases in the structural systems with less computational cost.