• Title/Summary/Keyword: Angular information

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Feasibility Confirmation of Angular Velocity Stall Control for Small-Scaled Wind Turbine System by Phase Plane Method

  • Asharif, Faramarz;Shiro, Tamaki;Teppei, Hirata;Nagado, Tsutomu;Nagata, Tomokazu
    • IEIE Transactions on Smart Processing and Computing
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    • v.2 no.4
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    • pp.240-247
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    • 2013
  • The main aim of this study was to suppress the angular velocity against strong winds during storms and analyze the stability and performance of the phase plane method. The utilization of small-scale wind turbine system has become common in agriculture, houses, etc. Therefore, it is considered to be a scheme for preserving the natural energy or avoiding the use of fossil fuels. Moreover, settling small-scaled wind turbines is simpler and more acceptable compared to ordinary huge wind turbines. In addition, after converting the energy there is no requirement for distribution. Therefore, a much lower cost can be expected for small-scaled wind turbines. On the other hand, this system cannot be operated continuously because the small-scaled wind turbine consists of a small blade that has low inertia momentum. Therefore, it may exceed the boundary of angular velocity, which may cause a fault in the system due to the centrifugal force. The aim of this study was to reduce the angular velocity by controlling the stall factor. Stall factor control consists of two control methods. One is a shock absorber that is loaded in the junction of the axis of the blade of the wind turbine gear wheel and the other is pitch angle control. Basically, the stall factor itself exhibits nonlinear behavior. Therefore, this paper confirmed the feasibility of stall factor control in producing desirable performance whilst maintaining stability.

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Comparison of engine fault diagnostic techniques using the crankshaft speed fluctuation (크랭크축 각속도의 변동을 이용한 기관 이상 진단 방법 비교)

  • Kim, Se-Ung;Bae, Sang-Su;Kim, Eung-Seo
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.20 no.6
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    • pp.2057-2066
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    • 1996
  • ^In this paper, diagnostic technique for detecting the engine faults, especially misfire, are introduced and compared with each other under the same conditions. With all of them the instantaneous angular velocitys, measured at the flywheel, were analyzed. The techniques include the frequency analysis, auto-correlation function, velocity index, acceleration index, maximum acceleration index, and integrated torque index. Since the main driving components for the angular velocity fluctuation are both the pressure and the inertia torque, the component of the inertia torque in it must be excluded to extract the information of the combustion from the angular velocity. To do this, it is required to consider only the first half of the combustion period in the angular velocity fluctuations, which has never been proposed in the existing methods. On the basis of this fact, the results show that the most effective diagnostic technique is maximum acceleration index.

Fast Leaf Recognition and Retrieval Using Multi-Scale Angular Description Method

  • Xu, Guoqing;Zhang, Shouxiang
    • Journal of Information Processing Systems
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    • v.16 no.5
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    • pp.1083-1094
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    • 2020
  • Recognizing plant species based on leaf images is challenging because of the large inter-class variation and inter-class similarities among different plant species. The effective extraction of leaf descriptors constitutes the most important problem in plant leaf recognition. In this paper, a multi-scale angular description method is proposed for fast and accurate leaf recognition and retrieval tasks. The proposed method uses a novel scale-generation rule to develop an angular description of leaf contours. It is parameter-free and can capture leaf features from coarse to fine at multiple scales. A fast Fourier transform is used to make the descriptor compact and is effective in matching samples. Both support vector machine and k-nearest neighbors are used to classify leaves. Leaf recognition and retrieval experiments were conducted on three challenging datasets, namely Swedish leaf, Flavia leaf, and ImageCLEF2012 leaf. The results are evaluated with the widely used standard metrics and compared with several state-of-the-art methods. The results and comparisons show that the proposed method not only requires a low computational time, but also achieves good recognition and retrieval accuracies on challenging datasets.

Interference Analysis of Digital HD Radio System considering Angular Effect (각도 효과를 고려한 디지털 HD Radio 시스템에서의 간섭 분석)

  • Kim, Joo-Seok;Jung, Won-Ho;Lee, Yong-Tae;Baek, Myung-Sun;Kim, Kyung-Seok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.45-50
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    • 2012
  • In the current wireless communication technology, the digital radio system replaces the analog radio broadcasting. Since the in-band digital radio systems are used in the existing analog radio frequency band, interference problems of digital radio are caused. It is important to effectively analyze the interference. In this paper, to analyze SINR and BEP (bit error probability) of digital radio system, we propose the analysis method considering angular effect. The angular effect means a method to analyze the interference when the receiver is located in different directions around the transmitter. These results are able to give basic information for the allocation of digital radio networks.

Dictionary Learning based Superresolution on 4D Light Field Images (4차원 Light Field 영상에서 Dictionary Learning 기반 초해상도 알고리즘)

  • Lee, Seung-Jae;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.20 no.5
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    • pp.676-686
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    • 2015
  • A 4D light field image is represented in traditional 2D spatial domain and additional 2D angular domain. The 4D light field has a resolution limitation both in spatial and angular domains since 4D signals are captured by 2D CMOS sensor with limited resolution. In this paper, we propose a dictionary learning-based superresolution algorithm in 4D light field domain to overcome the resolution limitation. The proposed algorithm performs dictionary learning using a large number of extracted 4D light field patches. Then, a high resolution light field image is reconstructed from a low resolution input using the learned dictionary. In this paper, we reconstruct a 4D light field image to have double resolution both in spatial and angular domains. Experimental result shows that the proposed method outperforms the traditional method for the test images captured by a commercial light field camera, i.e. Lytro.

Mouthpiece Modeling of the Electronic Wind Instrument Using a Propeller and Linear Analysis for Fast Tracking Wind Velocity (빠른 바람의 세기 추적을 위한 프로펠러를 사용한 전자 관악기 취구의 선형 모델링)

  • Kwak, Jae-Hyung;Lee, Gang-Seong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3C
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    • pp.295-301
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    • 2010
  • In this paper, we propose a new mouthpiece model for the electronic wind instrument using a propeller and linear analysis for fast tracking wind velocity blown. This method is a modification of the velocity anemometer for fast tracking wind velocity by the propeller's angular velocity (speed of revolution). In the case of velocity anemometer, wind velocity is calculated using the property that wind velocity is in proportion to the propeller's angular velocity. However, wind velocity and angular velocity of the propeller are not in one-one correspondence because wind velocity takes some transitional time for the expected wind velocity to be calculated from angular velocity. To resolve this problem, we propose a method for finding the impulse response of the system which can be considered as a linear system, and for estimating the wind velocity by deconvolving the propeller's angular velocity with the impulse response. To experiment and to prove the validity of the proposed system, we designed a mouthpiece model which consists of a motor, a propeller and an encoder. The result of estimated wind velocity in this method showed that this system is about eightfold faster than the method by the conventional velocity anemometer.

Implementation of Educational Two-wheel Inverted Pendulum Robot using NXT Mindstorm (NXT Mindstorm을 이용한 교육용 이륜 도립진자 로봇 제작)

  • Jung, Bo Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.7
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    • pp.127-132
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    • 2017
  • In this paper, we propose a controller gain based on model based design and implement the two-wheel inverted pendulum type robot using NXT Lego and RobotC language. Two-wheel inverted pendulum robot consists of NXT mindstorm, servo DC motor with encoder, gyro sensor, and accelerometer sensor. We measurement wheel angle using bulit-in encoder and calculate wheel angle speed using moving average method. Gyro measures body angular velocity and accelerometer measures body pitch angle. We calculate body angle with complementary filter using gyro and accelerometer sensor. The control gain is a weighted value for wheel angle, wheel angular velocity, body pitch angle, and body pich angular velocity, respectively. We experiment and observe the effect of two-wheel inverted pendulum with respect to change of control gains.

Trademark Image Retrieval System (상표 영상 검색 시스템)

  • Shin, Seong-Yoon;Baik, Seong-Eun;Pyo, Seong-Bae;Rhee, Yang-Won
    • KSCI Review
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    • v.15 no.1
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    • pp.185-190
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    • 2007
  • An image retrieval system is a piece of software that searches identical or similar images based on various image-specific features. This paper proposes a trademark image retrieval system that uses image colors and forms. In the proposed system, input images are segmented into several other regions, and color distribution histograms for different regions are extracted for use as color information. The proposed system uses form information through the preprocessing process such as boundary surface extraction, centroid extraction, angular sampling and, and through calculating the sums of the distances between the centroid and the boundary surfaces, standard deviations, and the ratios between long and short axes. Like this, the color and form information extracted is used to perform retrieval through measuring similarity.

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Spatio-angular multiplexed optical memory system using LCD moving window and hi-focus lens (LCD Moving Window와 이중초점 렌즈를 이용한 각 .공간 다중화 광메모리 시스템)

  • 김규태;황진환;김수길;김은수
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.921-924
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    • 1999
  • By controlling the pixels of a liquid crystal display (LCD) electronically, we fabricated a real-time moving window on a LCD, through which light passes. Using the moving window and hi-focusing lens, we suggested a non-mechanical spatio-angular multiplexed holographic memory system and demonstrated its feasibility through optical experiments. The principle of the proposed method and optical experimental results are also presented.

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View direction-based Human-Computer Interface using Image Observation and EMG Signal (영상 관측과 근전도 신호 계측을 이용한 주시 방향 기반 휴먼-컴퓨터 인터페이스)

  • 황성재;조승관;정상현;문인혁
    • Proceedings of the IEEK Conference
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    • 2002.06e
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    • pp.185-188
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    • 2002
  • This paper proposes a view direction-based human computer interface(HCI) system using image observation and EMG signal. CCD camera is available for observation relatively small angular view direction. Large angle is recognized by measuring EMG signal of the sternocleidomastoideus, because it is difficult to detect the large angular view direction by CCD observation. From experimental results, we show the proposed HCI system is useful for the disabled.

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