• Title/Summary/Keyword: CPG

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CPG를 이용한 휴머노이드 로봇 Nao의 보행궤적 생성 (Generation of Walking Trajectory of Humanoid Robot using CPG)

  • 이재민;서기성
    • 한국지능시스템학회논문지
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    • 제23권4호
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    • pp.360-365
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    • 2013
  • 본 연구에서는 발끝 궤적을 미리 설계하지 않고, CPG(Central Pattern Generator)를 이용하여 동적으로 생성할 수 있는 기법을 제안한다. 생성된 발끝 궤적은 CPG 의 진동적인 출력에 따라 가변적인데, 이는 발끝 궤적이 CPG 진동적인 출력 신호의 맵핑 함수로 주어지기 때문이다. 이를 통해 환경에 적응적인 궤적을 생성할 수 있는 토대를 마련할 수 있다. 제안된 기법의 효율성을 검증하기 위해서, Webots 시뮬레이션을 통해 휴머노이드 로봇 Nao에 대한 실험을 수행하고, 성능과 동작 특성을 분석한다.

Cryphonectria parasitica에서 mycovirus 감염 증상을 보이는 돌연변이 균주의 선발과 marker rescuing을 이용한 돌연변이의 특성화 (Selection and Characterization of the Hypovirulent Symptom Micmicking Mutant in Cryphonectria parasitica Using Marker Rescuing)

  • 김대혁
    • 한국균학회지
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    • 제25권3호통권82호
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    • pp.191-201
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    • 1997
  • 유전자의 삽입에 의해 발생하는 C. parasitica의 돌연변이체중 mycovirus에 감염된 것과 같이 색소와 포자를 적게 형성하는 균주(HSM1)를 선발하였다. 선발된 균주는 형태학적 병징외에도 laccase효소의 역가와 같은 생화학적 그리고 표지 유전자들을 통해 분자 생물학적인 특징도 virus에 감염된 균주와 동일한 특징을 나타냈다. HSM1에서 돌연변이가 일어날 부위를 cloning하여 조사한 결과, 유전자 삽입 부위는 C. parasitica의 두 유전자(Cpg2와Cpg3)의 사이(intergenic space)이며 유전자의 삽입 결과, HSM1에서 Cpg2의 발현이 오히려 증가됨이 관찰되었고, 나아가 이와 같은 현상은 mycovirus 감염 균주(UEP1)에서도 일어나고 있음을 확인하였다.

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피드백을 결합한 CPG 기반의 적응적인 휴머노이드 로봇 보행 (CPG-based Adaptive Walking for Humanoid Robots Combining Feedback)

  • 이재민;서기성
    • 전기학회논문지
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    • 제63권5호
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    • pp.683-689
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    • 2014
  • The paper introduces dynamic generation technique of foot trajectories for humanoid robots using CPG(Central Pattern Generator) and proposes adaptive walking method for slope terrains combining a feedback network. The proposed CPG based technique generates the trajectory of foot in the Cartesian coordinates system and it can change the step length adaptively according to the feedback information. To cope with variable slope terrains, the sensory feedback network in the CPG are designed using the geometry relationship between foot position and body center position such that humanoid robot can maintain its stability. To demonstrate the effectiveness of the proposed approach, the experiments on humanoid robot Nao are executed in the Webot simulation. The performance and motion features of the CPG based approach are compared and analyzed focusing on the adaptability in slope terrains.

CPG 를 이용한 물고기 모사 로봇의 궤적 추종 제어 (Trajectory Tracking Control of a Fish-Mimetic Robot Using CPG)

  • 김동희;이승희;권종현;한철희;박종현
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.870-875
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    • 2008
  • The main objective of this paper is to control a trajectory tracking of the fish-mimetic robot by CPG (Central Pattern Generator), which is biological approach. CPG is biological neural networks that generate rhythmic movements for locomotion of animals, such as walking, running, swimming and flying. Animals show marvelous ability of autonomous dynamic adaptation for an unsteady fluid dynamic environment or various environments. So, we propose the 3-DOF CPG controller to track the trajectory of the fish robot in plane motion. The conformity of the proposed control algorithm is validated by simulation for a fish robot model, which is made by a commercial dynamic package.

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디지털 병원의 CDSS구현을 위한 CPG 개발 (Developing CPG for Implementation of CDSS in Digital Hospitals)

  • 이형래;원장원;이상철;박상찬
    • 품질경영학회지
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    • 제42권1호
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    • pp.81-89
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    • 2014
  • Purpose: The purpose of this study is to propose Clinical Practice Guideline(CPG) model and Clinical Index(CI) for implementing CDSS in digital hospitals. Methods: This study uses EMR data at department of family practice in A hospital; 636 patients, 570 diseases (based on ICD 10-CM criteria), and 37,000 data related with labs and treatments. This study focuses on disease J342 which is the most high rate of incidence. Results: Using the suggested model, this study calculates frequency matrix and probability matrix to find out the correlation of diseases and labs. This study indicates the lab sets of Disease (J342) as CI for CPG. Conclusion: This study suggests CPG model including Lab-based, Disease-Based and Case-based modules. Through 6 level cased-based CPG model, especially, this study develops Clinical Index(CI) such as the Incidence Rate, Lab Rate, Disease Lab Rate, Disease confirmed by Lab.

굴곡진 지형에 대한 CPG 및 GA 결합 기반 적응적인 휴머노이드 보행 기법 (A Combined CPG and GA Based Adaptive Humanoid Walking for Rolling Terrains)

  • 경덕환;서기성
    • 전기학회논문지
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    • 제67권5호
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    • pp.663-668
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    • 2018
  • A combined CPG (Central Pattern Generator) based foot trajectory and GA (Genetic Algorithm) based joint compensation method is presented for adaptive humanoid walking. In order to increase an adaptability of humanoid walking for rough terrains, the experiment for rolling terrains are introduced. The CPG based foot trajectory method has been successfully applied to basic slops and variable slops, but has a limitation for the rolling terrains. The experiments are conducted in an ODE based Webots simulation environment using humanoid robot Nao to verify a stability of walking for various rolling terrains. The proposed method is compared to the previous CPG foot trajectory technique and shows better performance especially for the cascade rolling terrains.

태양광 시스템의 전 범위 전력점 추종을 위한 CPG 알고리즘에 관한 연구 (A Study on Constant Power Generation Algorithms for a Whole Range Power Point Tracking in Photovoltaic Systems)

  • 양형규;방태호;배선호;박정욱
    • 전력전자학회논문지
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    • 제24권2호
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    • pp.111-119
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    • 2019
  • In this study, constant power generation (CPG) algorithms are introduced for whole range power point tracking in photovoltaic systems. Currently, maximum power point tracking (MPPT) algorithm is widely used for high-power photovoltaic systems. However, MPPT algorithm cannot flexibly control such systems according to changing grid conditions. Maintaining grid stability has become important as the capacity of grid-connected photovoltaic systems is increased. CPG algorithms are required to generate the desired power depending on grid conditions. A grid-connected photovoltaic system is configured, and CPG algorithms are implemented. The performances of the implemented algorithms are compared and analyzed by experimental results.

Purification of the Candida utilis Extracellular Invertase using Affinity Chromatography

  • Ginalska, G.;Belcarz, A.;Lobarzewski, J.;Leonowicz, A.;Cho, Nam-Seok
    • Journal of the Korean Wood Science and Technology
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    • 제30권3호
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    • pp.12-17
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    • 2002
  • The extracellular invertase (EC 3.2.1.26) (Candida utilis) preparation was obtained from the liquid medium after desalting and freeze drying. This prepared enzyme was used for the comparative purification on 4 activated matrices by liquid column affinity chromatography method. In this method there were used controlled porous glass (CPG) silanized covalently activated by keratin, silanized silica gel and silica gel covalently covered by keratin. It was found that the invertase purification process was better using both CPG matrices (silanized CPG and keratin activated CPG) than these with two silica gel supports. Also the elution coefficient of the invertase from the two CPG columns was about 93 to 94%. Two silica gel supports found to be superior in terms of purification efficiency. The invertase purification process was confirmed by PAGE electrophoresis.

부유식 태양광-파력 복합발전 개념 및 원자력발전소 비상전원을 위한 응용 (A Buoyant Combined Solar-Wave Power Generation and Its Application for Emergency Power Supply of Nuclear Power Plant)

  • 차경호;김정택
    • 신재생에너지
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    • 제7권4호
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    • pp.37-41
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    • 2011
  • This paper presents a Combined solar-wave Power Generation (CPG) concept that the CPG unit is maintained as buoyant at the level of sea water and it is also supported by a submerged tunnel, with the aim of supplying emergency electric power during the station blackout events of nuclear power plants. The CPG concept has been motivated from the 2011 Fukushima-Daiichi Accidents due to the loss of both offsite AC power and emergency diesel power caused by natural hazards such as earthquake and tsunami. The CPG is conceptualized by applying different types and different sites for emergency power generation, in order to reduce common cause failures of emergency power suppliers due to natural hazards. Thus, the CPG can provide a new mean for supplying emergency electric power during station blackout events of nuclear power plants. For this application, the CPG requirements are described with a typical configuration at the ocean side of a submerged tunnel.

적응적인 휴머노이드 보행을 위한 CPG 궤적 및 GP 관절 보정의 결합 기법 (A Combined CPG Foot Trajectory and GP Joint Compensation Method for Adaptive Humanoid Walking)

  • 조영완;김훈이;서기성
    • 전기학회논문지
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    • 제65권9호
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    • pp.1551-1556
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    • 2016
  • A combined CPG (Central Pattern Generator) based foot trajectory and GP (Genetic Programming) based joint compensation method is presented for the adaptive humanoid walking. The CPG based foot trajectory methods have been successfully applied to basic slops and variable slops with slow rates, but have a limitation for the steep slop terrains. In order to increase an adaptability of humanoid walking for the rough terrains, a GP based joint compensation method is proposed and combined to the CPG (Central Pattern Generator) based foot trajectory method. The experiments using humanoid robot Nao are conducted in an ODE based Webots simulation environmemt to verify a stability of walking for the various aslope terrains. The proposed method is compared to the previous CPG foot trajectory technique and shows better performances especially for the steep varied slopes.