• 제목/요약/키워드: rate adaptation

검색결과 608건 처리시간 0.033초

Adaptive Control for the Conventional Mode of Operation of MEMS Gyroscopes

  • Park, Sungsu;Roberto Horowitz
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.39.2-39
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    • 2002
  • This paper presents adaptive add-on control algorithms for theconventional mode of operation of MEMS z-axis gyroscopes. This scheme is realized by adding an outer loop to a conventional force-balancing scheme that includes a parameter estimation algorithm. The parameter adaptation algorithm estimates the angular rate, identifies and compensates the quadrature error, and may permit on-line automatic mode tuning. The convergence and resolution analysis show that the proposed adaptive add-on control scheme prevents the angular rate estimate from being contaminated by the quadrature error, while keeping ideal resolution performance of a conventional force-balancing scheme.

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다변량 퍼지 의사결정트리와 사용자 적응을 이용한 손동작 인식 (Hand Gesture Recognition using Multivariate Fuzzy Decision Tree and User Adaptation)

  • 전문진;도준형;이상완;박광현;변증남
    • 로봇학회논문지
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    • 제3권2호
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    • pp.81-90
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    • 2008
  • While increasing demand of the service for the disabled and the elderly people, assistive technologies have been developed rapidly. The natural signal of human such as voice or gesture has been applied to the system for assisting the disabled and the elderly people. As an example of such kind of human robot interface, the Soft Remote Control System has been developed by HWRS-ERC in $KAIST^[1]$. This system is a vision-based hand gesture recognition system for controlling home appliances such as television, lamp and curtain. One of the most important technologies of the system is the hand gesture recognition algorithm. The frequently occurred problems which lower the recognition rate of hand gesture are inter-person variation and intra-person variation. Intra-person variation can be handled by inducing fuzzy concept. In this paper, we propose multivariate fuzzy decision tree(MFDT) learning and classification algorithm for hand motion recognition. To recognize hand gesture of a new user, the most proper recognition model among several well trained models is selected using model selection algorithm and incrementally adapted to the user's hand gesture. For the general performance of MFDT as a classifier, we show classification rate using the benchmark data of the UCI repository. For the performance of hand gesture recognition, we tested using hand gesture data which is collected from 10 people for 15 days. The experimental results show that the classification and user adaptation performance of proposed algorithm is better than general fuzzy decision tree.

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Adaptation of the parameters of the physical layer of data transmission in self-organizing networks based on unmanned aerial vehicles

  • Surzhik, Dmitry I.;Kuzichkin, Oleg R.;Vasilyev, Gleb S.
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.23-28
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    • 2021
  • The article discusses the features of adaptation of the parameters of the physical layer of data transmission in self-organizing networks based on unmanned aerial vehicles operating in the conditions of "smart cities". The concept of cities of this type is defined, the historical path of formation, the current state and prospects for further development in the aspect of transition to "smart cities" of the third generation are shown. Cities of this type are aimed at providing more comfortable and safe living conditions for citizens and autonomous automated work of all components of the urban economy. The perspective of the development of urban mobile automated technical means of infocommunications is shown, one of the leading directions of which is the creation and active use of wireless self-organizing networks based on unmanned aerial vehicles. The advantages of using small-sized unmanned aerial vehicles for organizing networks of this type are considered, as well as the range of tasks to be solved in the conditions of modern "smart cities". It is shown that for the transition to self-organizing networks in the conditions of "smart cities" of the third generation, it is necessary to ensure the adaptation of various levels of OSI network models to dynamically changing operating conditions, which is especially important for the physical layer. To maintain an acceptable level of the value of the bit error probability when transmitting command and telemetry data, it is proposed to adaptively change the coding rate depending on the signal-to-noise ratio at the receiver input (or on the number of channel decoder errors), and when transmitting payload data, it is also proposed to adaptively change the coding rate together with the choice of modulation methods that differ in energy and spectral efficiency. As options for the practical implementation of these solutions, it is proposed to use an approach based on the principles of neuro-fuzzy control, for which examples of determining the boundaries of theoretically achievable efficiency are given.

Effects of adaptation time and inclusion level of sugar beet pulp on nutrient digestibility and evaluation of ileal amino acid digestibility in pigs

  • Zhang, Ze Yu;Zhang, Shuai;Lai, Chang Hua;Zhao, Jin Biao;Zang, Jian Jun;Huang, Cheng Fei
    • Asian-Australasian Journal of Animal Sciences
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    • 제32권9호
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    • pp.1414-1422
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    • 2019
  • Objective: Two experiments were conducted to determine the effects of adaptation time and inclusion level of sugar beet pulp (SBP) on nutrient digestibility and to evaluate the ileal amino acid digestibility of SBP fed to pigs. Methods: In Exp. 1, thirty-six crossbred barrows ($85.0{\pm}2.1kg$) were allotted to 6 diets in a completely randomized design with six replicates per diet. Diets included a corn-soybean meal diet and 5 test diets containing 14.6%, 24.4%, 34.2%, 43.9%, or 53.7% SBP, respectively. The adaptation time consisted 7, 14, 21, or 28 d consecutively for each pig followed by 5 d for fecal collection. Feces were collected from d 8 to 13, d 15 to 20, d 22 to 27, and d 29 to 34, respectively. In Exp. 2, six pigs ($35.1{\pm}1.7kg$) with T-cannulas at the terminal ileum were fed to 3 diets in a replicated $3{\times}3$ Latin square design with 3 periods and 2 replicate pigs per diet. Each period consisted 5 d for diet adaptation followed by 2 d for digesta collection. Results: The digestible energy (DE) value and the apparent total tract digestibility (ATTD) of gross energy (GE), dry matter (DM), ash, and organic matter in diets linearly decreased (p<0.05) as the adaptation time increased or as the dietary SBP increased, while the ATTD of neutral detergent fibre and acid detergent fibre in diets linearly increased (p<0.01) as the dietary SBP increased. The DE value and the ATTD of GE and crude protein (CP) in SBP linearly increased (p<0.05) as the adaptation time increased, while the ATTD of CP in SBP linearly decreased (p<0.01) as the inclusion level increased. The standardized ileal digestibility of Lys, Met, Thr, and Trp in SBP was 37.03%, 51.62%, 40.68%, and 46.22%, respectively. Conclusion: The results of this study indicated that the ATTD of energy and nutrients were decreased as inclusion rate of SBP increased.

주파수 변이를 이용한 Parallel Model Combination 모델 적응에 기반한 잡음에 강한 음성인식 (Noise Robust Speech Recognition Based on Parallel Model Combination Adaptation Using Frequency-Variant)

  • 최숙남;정현열
    • 한국음향학회지
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    • 제32권3호
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    • pp.252-261
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    • 2013
  • 일반적인 음성인식 시스템은 조용한 인식 환경에서는 높은 인식성능을 나타내지만 잡음이 존재하는 실제 환경에서는 그 성능이 급격히 저하한다. 본 논문에서는 다양한 잡음환경에서도 강인한 음성인식기를 구현하기 위하여, 주파수의 변이도를 이용하여 음성인식을 위한 환경 정보를 얻고 이를 음성 인식을 위한 모델 개선에 적용하여 성능향상을 도모하는 환경정보 지식에 기반한 주파수 변이 적응 PMC (Parallel Model Combination adaptation using frequency-variant based on environment - awareness : FV-PMC) 방법을 제안한다. 이 방법은 미리 분류된 각 잡음 군간의 평균 주파수 변이도를 미리 계산하여 임계치로 설정하고 미지의 잡음이 포함된 음성이 입력되면 각 잡음 군과의 주파수 변이도를 다시 계산하여 해당 잡음군의 임계치 보다 높을 경우 그 잡음 군의 잡음이 포함된 음성으로 간주하여 이 잡음 군이 포함된 음성을 이용하여 생성된 인식모델을 이용하여 음성인식을 수행한다. 제안한 FV-PMC 방법을 이용하여 잡음을 분류 하였을 경우 평균 분류 정확도는 56%를 보였고 이를 이용해 음성인식 실험을 실시한 결과 Set A의 평균인식률은 79.05%, Set B의 평균인식률은 79.43%, Set C의 평균인식률은 83.37%로 나타났다. 전체 평균인식률 80.62%로 기존의 깨끗한 모델을 이용한 PMC 인식률 74.93% 보다 5.69% 향상된 결과를 보여 제안한 방법의 유효성을 확인할 수 있었다.

스펙트럼사상기법을 기초로 한 잡음음성인식 (Noisy Speech Recognition Based on Spectral Mapping Techniques)

  • 이기영
    • The Journal of the Acoustical Society of Korea
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    • 제14권1E호
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    • pp.39-45
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    • 1995
  • 본 논문에서는 화자적응방법에서의 스펙트럼사상기법을 기초로한 잡음인식방법을 제시하였다. 제시한 방법에서는 스펙트럼사상에 의하여 잡음음성의 스펙트럼왜곡을 감소시키며, 스펙트럼을 더욱 정확히 사상하기 위하여 정합창의 기울기로 하여금 여러 단어의 길이에 적응하도록 하였다. 인식실험의 결과, 잡음처리를 하지 않는 VQ와 DTW를 이용한 기존의 방법보다 놓은 인식율을 얻었으며, 0 dB 의 SNR 레벨에서도 기존방법의 인식율을 10배 이상으로 향상시키므로써 스펙트럼사상을 이용한 화자적응기법이 잡음음성의 인식성능을 향상시킬 수 있음을 확인하였다.

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신규간호사를 위한 병원 의사소통 프로그램(병원적응 프로그램) 개발과 효과 검증 (A Study on the Development and Evaluation of Hospital Communication (Hospital Adaptation) Program for New Graduate Nurses)

  • 구미지;김경남
    • 보건의료산업학회지
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    • 제8권4호
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    • pp.1-12
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    • 2014
  • This study is designed to develop a hospital communication program and to verify its effectiveness in graduate nurses self-esteem, communication conflicts, turnover intention and early resignation rate. The study method is a randomized control group with a pre-post test design. In order to help new graduate nurses adapt to the hospital, eight week hospital communication program is developed. The study participants are 104 nurses(47 experiment, 57 control) who have been working for less than six months. The data on self-esteem, communication conflict, and turnover intention was collected one week before the program and four weeks after the program. Then, the early resignation rate of the participating nurses was surveyed one year after the start of employment. The nurses who participated in the hospital communication program exhibit higher self-esteem, fewer communication conflicts, and lower early resignation rates than those who did not. However, effect in the turnover intention is not observed. Overall, the hospital communication program will help new graduate nurses adapt to hospitals.

MHCOC를 사용한 다중 부호 대역 확산 시스템과 적응성에 관한 연구 (A study on Multi-code Spread Spectrum System and its adaptation using MHCOC)

  • 공형윤;남두희
    • 정보처리학회논문지C
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    • 제12C권6호
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    • pp.901-906
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    • 2005
  • 본 논문에서는 초고속 전승을 위해 제안된 HCOC(High Capacity Orthogonal Code) 대역확산(Spread Spectrum) 시스템의 높은 PAPR(Peak power to Average Power Ratio)을 줄여주는 새로운 MHCOC (Mapped HCOC) 대역확산 기술을 제안하고, 같은 비트 수를 전송할 수 있는 기존의 MQAM 대역확산 시스템과 비교 분석한다. 또한 전송 채널의 상황에 따라 알맞은 데이터 서비스를 하는 QoS (Quality of Service)를 만족시키기 위해 제안한 시스템의 적응성에 대하여 연구한다. 컴퓨터 시뮬레이션을 통하여 제안한 시스템의 성능을 평가 및 분석하고, 기존의 시스템과 비교 분석한다.