• Title/Summary/Keyword: 사용률

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Changes in Thoracoabdominal Usage Rate after Respiratory Pattern Correction in Patients with Lumbar Instability (호흡패턴교정이 요추불안정성자의 흉·복부 사용률에 미치는 효과)

  • Ki, Chul;Heo, Myoung
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.7
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    • pp.581-587
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    • 2020
  • The Many patients who have lumbar instability(LI) could make a different trunk movement pattern by reduction of their respiratory function and altered breathing pattern. This study was conducted to investigate the change in the thoracoabdominal usage rate(TAUR) on three circumference lines(axillary, xiphoid junction, 10th rib) during the resting and forced breathing (RB and FB) after respiratory pattern correction(RPC) exercises in patients with LI. 15 patients in the experimental group performed RPC exercises, and 15 patients in the control group conducted lumbar stabilization exercises. Before the intervention, both groups had a significant difference in the usage rate among the three thoracoabdominal lines during the RB and FB(p<.05). After the intervention, the experimental group was seen no significant difference in the usage rate among the three lines during the RB(p>.05) and exhibited significant differences in the usage rate between the two thoracoabdominal lines during the FB(p<.05). The RPC exercises might improve the trunk movement patterns by restoring the respiratory patterns. We suggest that the RPC can apply in the re-education and reinforcement process at the reha-program for LI patients.

Intracranial Hemorrhagic Lesion Feature Extraction System Of Using Wavelet Transform and LMBP (웨이블렛 변환과 LMBP를 이용한 대뇌출혈성 병변 인식 시스템)

  • 정유정;정채영
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.10d
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    • pp.625-627
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    • 2002
  • 본 논문에서는 의료영상 인식 기술 중 인식률이 뛰어나고 신뢰성 있는 대뇌출혈성 병변인식 시스템을 구현하기 위하여 신호처리 분야에서 주로 사용되는 Wavelet 변환과 신경망 기법을 이용하고자 한다. 그러나 신경망 기법에서 주로 사용되는 비선형 최적화기법인 Gradient descent BP는 최적화 문제점을 해결하기에는 수렴속도가 느리기 때문에 적합하지 않다. 따라서 본 논문에서는 기존 Gradient descent BP를 보완한 Levenberg-Marquardt Back-Propagation을 대뇌출혈성 병변인식에 적용하여 구현함으로써 총 50개의 패턴 중 45개의 영상이 인식에 성공하였고 전체 평균 인식률은 각각 90%와 87%의 인식률을 보였다.

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"Left Shoulder" Detection in Korea Composite Stock Price Index Using an Auto-Associative Neural Network and Sign Variables (자기연상학습 신경망과 부호변수를 이용한 종합주가지수)

  • 백진우;조성준
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.10b
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    • pp.320-322
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    • 2000
  • 본 논문에서 제안한 종합주가지수 "왼쪽어깨" 패턴 검출은 자기 연상 학습 신경망을 사용하였다. 종합주가 지수 데이터에서 머리어깨모형 중 왼쪽 어깨에 해당하는 데이터로 신경망을 학습시킨 후 이를 이용하여 현재 혹은 테스트 데이터를 입력으로 주어 성능을 평가하였다. 결과는 비교적 우수하였다. 패턴 검출에 의한 투자를 하였을 경우 17개월간의 누적 수익률이 132% 였다. 이 기간동안 buy and hold 전략을 사용했을 경우의 수익률은 39% 였다.률은 39% 였다.

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A Study on a comparison and analysis of Speaking rate estimation for adaptive bit rate on CELP vocoder (가변전송률 CELP 부호화기 설계를 위한 발성률 비교 분석에 관한 연구)

  • Jang KyungA;Min SoYeon;Bae MyungJin
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.105-108
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    • 2004
  • 음성 부호화 기술은 전송률과 복잡도를 줄이고 음질을 향상시키는 방향으로 진행되고 있다. 현재 상용화되고 있는 CELP형 보코더는 낮은 전송률에 비해 우수한 음질을 제공한다. 본 논문에서는 기존의 방식과 다르게 보코더 단에 입력 음성이 들어가기 앞서 전처리 기법을 수행하는 전처리단을 부가하여 전송률을 낮추는 방법을 소개하고, 소개된 방법들을 각기 비교하고 분석하고자 한다. 전처리기법들을 음성 인식이나 합성에서 사용되는 파라미터들을 적용시켰으며, 처리시간이나 계산시간에 있어 기존의 방식에서 많은 영향을 미치지 않은 간단한 알고리즘으로 구현하였다. 소개하는 전처리단에서는 기존의 코딩방식에서 사용하지 않은 파라미터들, 발성율, 지속시간, PSOLA 방식들을 이용하였다.

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Analysis for ER switch Algorithms on ATM Networks (ATM 망에서의 ER 스위치 알고리즘의 성능 분석)

  • 김탁근;손준영;최삼길
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.288-291
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    • 2000
  • In ATM Network, many algorithms have been proposed for rate-based ABR new control. The object of these Algorithms is to him around from cell loss and to use the unused bandwidth by ABR Traffic. These Algorithms are applied to control ABR Traffic by EFCI and ER switches. In previous paper, we showed the using rate of bandwidth for the characteristic of each algorithm applied these algorithm network In this paper, we will do that to apply these algorithms to a network and to make a graph of characteristic of each algorithm.

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Analysis of Phoneme/Isolated Word Recognition Rate Using Codebook and VQ Optimization (코드북과 VQ 최적화에 의한 음소/고립단어 인식률 분석)

  • Ahn, Hong-Jin;Joo, Sang-Hyun;Chin, Won;Kim, Ki-Doo
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.675-678
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    • 1999
  • 본 논문에서는 음소별 코드북 개수의 선택과 벡터 양자화에 따른 음소 인식률과 고립단어 인식률에 대하여 다룬다. 음성모델은 이산 확률 밀도를 갖는 DHMM(Discrete Hidden Markov Model)을 사용하였으며, 코드북 생성과 벡터 양자화 알고리즘으로는 K-means 알고리즘과 LBG(Linde, Buzo, Gray) 알고리즘을 사용하였다 음소별 코드북 개수와 벡터 양자화를 최적화함으로써 음소 인식률을 향상시킬 수 있으며, 그 결과 안정된 고립단어 인식률을 얻을 수 있다.

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Analysis for ER switch Algorithms on ATM Networks (ATM망에서의 ER스위치 알고리즘의 성능 분석)

  • 최삼길;김탁근;손준영;최부귀
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.4 no.4
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    • pp.745-750
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    • 2000
  • In ATM Network, many algorithms have been proposed for rate-based ABR flow control. The object of these Algorithms is to turn around from cell loss and to use the unused bandwidth by ABR Traffic. These Algorithms are applied to control ABR Traffic by EFCI and ER switches. In previous paper, we showed the using rate of bandwidth for the characteristic of each algorithm applied these algorithm network. In this paper, we will do that to apply these algorithms to a network and to make a graph of characteristic of each algorithm.

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Design of Algorithms for Unnecessary Sensor Barrier in IoT Environment (IoT 환경에서 불필요한 센서 차단 알고리즘 설계)

  • Lim, Hyeok;Shin, Yun-Ho;Yu, Dong-Gyun;Ryu, Seung-Han;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.607-608
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    • 2016
  • Recently using a variety of sensors sensing the virtual(Virtual Sensing) technology that extracts specific data has been applied to IoT service interface. The utilization of such sensors while increasing IoT (Internet of Things) environmental sensor is an essential element. However, used in the IoT to the environment, while the increase in utilization of a specific sensor utilization falling sensors is generated. In this paper, we design unnecessary sensors removal algorithm as a way to solve this problem. Through the utilization of poor power to block the sensor can reduce the power consumption and user sensor control service through the monitoring by blocking the use of the sensor is considered that there can be provided a more effective and convenient.

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Measuring and Correcting The Compressive Axial Strain of Concrete Cylinders Retrofitted by External Jackets (외부자켓에 의해 보강된 콘크리트 압축시편의 압축변형률 측정 및 보정)

  • Choi, Eun-soo;Lee, Young-Geun
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.2 s.54
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    • pp.215-222
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    • 2009
  • In this study, steel and FRP jackets are used to confine concrete cylinders. The FRP jacket behaviors compositely with concrete since there is bonding between them. However, the used steel jacket in this study do not behavior compositely with concrete since there is not an adhesive between them. The steel jackets are attached by external forces and the welding. This study suggests the measuring method of the axial strain for the confined concrete cylinders showing noncomposite behavior with the jackets and the correcting method of the measured strain for the composite-behavior jackets. For the noncomposite-behavior steel jacket, the axial strain of the steel surface does not represent the axial strain of the concrete inside. Also, a compressormeter can not be used. Thus, the two rigid plates at the top and bottom of a cylinder are placed and the distance of the two plates are measured and used for estimating the axial strain of the concrete. For the composite-behavior FRP jacket, the vertical strain measured on the FRP surface can be used for estimating the axial strain of the concrete. However, the vertical strain on the FRP surface contains the tensile strain due to the bulge of the concrete and, thus, the tensile strain should be corrected from the vertical strain. The corrected verticals strains compared with the measured strain or a existing constitute model; the result is satisfactory. The uncorrected stress-strain curves have the potential to under estimate the ductile behavior and the energy-dissipation-capacity of the composite-behavior FRP jackets.

Evaluation and Determination of Air Void for Asphalt Concrete using a dielectric constant measurement (유전율 측정을 통한 아스팔트 콘크리트의 공극률 추정 연구)

  • Kim, Boo-Il;Kim, Yeong-Min;Cho, In-Sun
    • International Journal of Highway Engineering
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    • v.11 no.1
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    • pp.95-104
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    • 2009
  • This study was conducted to evaluate the relationship between the dielectric constant and air void of asphalt concrete. Standard specimens that have air voids of various range $(0%{\sim}20%)$ were used to measure the dielectric constant using parallel plate method that measures low frequency dielectric constant. From the tests, dielectric constant of asphalt concrete was tend to decrease as the frequency was increased, and the decrement slope was varied with the types of asphalt binders. Dielectric constant was decreased linearly as air void was increased from zero to twenty percent. Consequently, the effect of temperature and moisture content on dielectric constants of asphalt concrete was evaluated to develop the standard curve between dielectric constant and air void of asphalt concrete. The standard curve developed in this study can be used to calibrate or develop the algorithm of non-destructive density gauge.

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