• Title/Summary/Keyword: Environment parameter

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Speed Control Strategy of Soccer Robot using Genetic Algorithms (유전자 알고리즘을 이용한 축구로봇의 속도 제어 전략)

  • Shim, Kwee-Bo;Kim, Jee-Youn;Kim, Hyun-Young
    • Journal of the Korean Institute of Intelligent Systems
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    • v.12 no.3
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    • pp.275-281
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    • 2002
  • In this paper, in order to make a desired velocity and moving pattern of soccer robot, we Propose the speed control function with several parameters which represent the reflection ratio of distance and angle error etc. These parameter influence on the determining the speed and moving path of soccer robot. And we propose the searching method for these parameters by using genetic algorithms. As a result of finding the optimal parameter, we can move the robot more quickly in accordance with objective under variable environment.

A Study on Development of High Flow Solenoid Valves (대유량 솔레노이드 밸브 개발에 관한 연구)

  • Jeong, C.S.;Yang, S.Y.
    • Journal of Drive and Control
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    • v.10 no.1
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    • pp.7-13
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    • 2013
  • Port size 80mm or above large-flow type solenoid valves are extensively used in dust collector and power plants. These multi-stage solenoid valve have few problem. first, multi-solenoid valves are almost depend on imports and there are weak in the brine environment and the low energy efficiency. Because these problem, increased the necessity of research on the development of large flow and high pressure type solenoid valves. In this study, describe the design method of multi-stage solenoid test bench and confirm the influence valve performance on several parameter such as diaphragm orifice diameter. At first, each part has modeled by AMESim simulation tool and combining them. This AMESim virtual multi-stage solenoid valve found influence valve performance on the valve parameter. Finally developed the multi-stage solenoid valve and verified that performance on experimental result.

Genetic algorithms for balancing multiple variables in design practice

  • Kim, Bomin;Lee, Youngjin
    • Advances in Computational Design
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    • v.2 no.3
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    • pp.241-256
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    • 2017
  • This paper introduces the process for Multi-objective Optimization Framework (MOF) which mediates multiple conflicting design targets. Even though the extensive researches have shown the benefits of optimization in engineering and design disciplines, most optimizations have been limited to the performance-related targets or the single-objective optimization which seek optimum solution within one design parameter. In design practice, however, designers should consider the multiple parameters whose resultant purposes are conflicting. The MOF is a BIM-integrated and simulation-based parametric workflow capable of optimizing the configuration of building components by using performance and non-performance driven measure to satisfy requirements including build programs, climate-based daylighting, occupant's experience, construction cost and etc. The MOF will generate, evaluate all different possible configurations within the predefined each parameter, present the most optimized set of solution, and then feed BIM environment to minimize data loss across software platform. This paper illustrates how Multi-objective optimization methodology can be utilized in design practice by integrating advanced simulation, optimization algorithm and BIM.

Endpoint Detection of Speech Signal Using Wavelet Transform (웨이브렛 변환을 이용한 음성신호의 끝점검출)

  • 석종원;배건성
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.6
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    • pp.57-64
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    • 1999
  • In this paper, we investigated the robust endpoint detection algorithm in noisy environment. A new feature parameter based on a discrete wavelet transform is proposed for word boundary detection of isolated utterances. The sum of standard deviation of wavelet coefficients in the third coarse and weighted first detailed scale is defined as a new feature parameter for endpoint detection. We then developed a new and robust endpoint detection algorithm using the feature found in the wavelet domain. For the performance evaluation, we evaluated the detection accuracy and the average recognition error rate due to endpoint detection in an HMM-based recognition system across several signal-to-noise ratios and noise conditions.

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Robust RGB image-based gait analysis in various environment (다양한 환경에 강건한 RGB 영상 기반 보행 분석)

  • Ahn, Ji-min;Jeung, Gyeo-wun;Shin, Dong-in;Won, Geon;Park, Jong-beom
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.441-443
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    • 2018
  • This paper deals with the analysis of leg motion using RGB image. We used RGB image as gait analysis element by using BMC(Background Model Challenge) method and by using combining object recognition segmentation algorithm and attitude detection algorithm. It is considered that gait analysis incorporating image can be used as a parameter for classification of gait pattern recognition and abnormal gait.

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Multistep Adaptive Smoothing Technique of Speckle Images (스펙클 영상의 다단계 적응 평활화 기법)

  • 김태균;남권문;박래홍
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.1
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    • pp.85-93
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    • 1992
  • In this paper, we propose a parameter-free smoothing method for speckle images, i.e., an adaptive least squares image smoothing technique implemented in a multistep environment. The pertinent smoothing window size at a given pixel is determined by the discontinuity measure which is defined by the ratio of the local variance and mean squares of intensity values of pixels over the smoothing window centered there. The mode of the discontinuity measure at each step is estimated to replace the noise variance parameter that is required in the adaptive smoothing. Computer simulation shows that the proposed multistep technique can smooth homogeneous regions satisfactorily while preserving fine details near boundaries.

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A Non-contact Detection Method for Smelting in Submerged Arc Furnace based on Magnetic Field Radiation

  • Liu, WeiLing;Chang, XiaoMing
    • Journal of Magnetics
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    • v.21 no.2
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    • pp.204-208
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    • 2016
  • This paper demonstrates the key parameter detection for smelting of submerged arc furnace (SAF) based on magnetic field radiation. A magnetic field radiation model for the inner structure of SAF is established based on relative theory of electromagnetic field. A simple equipment of 3D magnetic field detection system is developed by theoretical derivation and simulation. The experiments are carried out under the environment of industrial field and AC magnetic field generated by electrode currents and molten currents in the furnace is reflected outside of the furnace. The experimental results show that the key parameters of smelting including the position of electrode tip, the length of electric arc, and the liquid level of molten bath can be achieved. The computed tomography for SAF can be realized by the detection for smelting.

Thermomechanical Characteristics for Structural Material of Supersonic Vehicle (초음속 비행체 구조재료에 대한 열기계적 특성)

  • Kim, Jong-Hwan;Lee, Kee-Bhum;Lee, Kuong-Yong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.2 s.21
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    • pp.77-87
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    • 2005
  • The thermomechanical characteristics were evaluated for 17-4PH stainless steel widely used in supersonic airframe subjected to both aerodynamic loading and heating. The thermomechanical tests were conducted under both elevated temperature and rapid heating condition from $1^{\circ}C/sec\;to\;28^{\circ}C/sec$. The thermomechanical behaviors under rapid heating were compared with those of elevated temperature after 1/2 hour exposure in terms of yield stress to investigate the influence of heating rates. A heating rate-yield temperature parameter was suggested for rapid heating based on time-temperature parameters, and master yield stress curve was obtained by using these parameters. The experimental results and methodology from this study can be used as basic engineering data when designing supersonic vehicle structures subjected to aerodynamic loading and severe heating environment.

Implementation of Face Animation For MPEG-4 SNHC

  • Lee, Ju-Sang;Yoo, Ji-Sang;Ahn, Chie-Teuk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06a
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    • pp.141-144
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    • 1999
  • MPEG-4 SNHC FBA(face and body animation) group is going to standardize the MPEG-4 system for low-bit rate communication with the implementation and animation of human body and face on virtual environment. In the first version of MPEG-4 standard, only the face object will be implemented and animated by using FDP (face definition parameter) and FAP(facial animation parameter), which are the abstract parameters of human face for low-bit rate coding. In this paper, MPEG-4 SNHC face object and it's animation were implemented based on the computer graphics tools such as VRML and OpenGL.

Short-range Visible Light Positioning Based on Angle of Arrival for Smart Indoor Service

  • Lee, Yong Up;Park, Seop Hyeong
    • Journal of Electrical Engineering and Technology
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    • v.13 no.3
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    • pp.1363-1370
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    • 2018
  • In visible light (VL) positioning based on angle of arrival (AOA) estimation for smart indoor service, the AOA parameters obtained at the receiver has sometimes a random and distributed angle form instead of a point angle form due to the multipath transfer of the actual visible light and short positioning distance. The AOA estimation of a VL signal with a random and parametric distributed angle form may give incorrect AOA parameter estimates, which may result in poor VL positioning performance. In this paper, we classify the AOA parameters of the received VL signal into three forms according to the actual positioning channel environment and consider the short-range VL positioning method. We propose a subspace-based AOA parameter estimation technique and a data fusion method, and analyzed the proposed method by simulation and the measurement of the real VL channel characteristics.