• Title/Summary/Keyword: Shaped Input

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Signal analysis of Hangul shaped Chipless RFID Tag (한글형 Chipless RFID tag 신호의 분석)

  • Ryu, Beongju;Lee, Jehun;Koh, Jinhwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.12
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    • pp.983-990
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    • 2013
  • In this paper, we proposed a Hangul type chipless RFID tag, which has better legibility than the conventional chipless RFID tag not only to a computer but also to a human. We made consonant model, vowel model and whole character model by WIPL tool and checked the applicability of Hangul type chipless RFID tag. We obtain the RCS pattern of each character by simulation. Finally, We classify the character from input data in noisy environment using a variance of the data.

Effect of Artificial Caudal Fin on Performance of a Biomimetic Fish Robot Actuated by Piezoelectric Actuators (인조 꼬리지느러미가 압전작동기 구동형 생체모사 물고기 로봇의 성능에 미치는 영향)

  • Heo, Seok;Park, Hoon-Cheol;Tedy, Wiguna;Goo, Nam-Seo
    • Proceedings of the KSME Conference
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    • 2007.05a
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    • pp.429-434
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    • 2007
  • This paper presents an experimental and parametric study of a biomimetic fish robot actuated by the Lightweight Piezo-composite Actuator(LIPCA). The biomimetic aspects in this work are the oscillating tail beat motion and shape of caudal fin. Caudal fins that resemble fins of BCF(Body and Caudal fin) mode fish were made in order to perform parametric study concerning the effect of caudal fin characteristics on thrust production at an operating frequency range. The observed caudal fin characteristics are the shape, area, and aspect ratio. It was found that a high aspect ratio caudal fin contributes to high swimming speed. The fish robot was propelled by artificial caudal fins shaped after thunniform-fish and mackerel caudal fins, which have relatively high aspect ratio, produced swimming speed as high as 2.364 cm/s and 2.519 cm/s, respectively, for 300 Vpp input voltage excited at 0.9 Hz. Thrust performance of the biomimetic fish robot was examined by Strouhal number, Froude number, Reynolds number, and Net forward force.

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Analysis on the Shift Characteristics of Semi-Spherical CVT using 2-dimensional Friction Model (2차원 마찰모델을 이용한 구면무단변속기의 변속특성해석)

  • Kong, Jin-Hyung;Lim, Won-Sik;Park, Yeon-Gil;Kim, Jung-Yun
    • Transactions of the Korean Society of Automotive Engineers
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    • v.16 no.4
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    • pp.103-109
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    • 2008
  • Semi-spherical CVT(SS-CVT) is one of friction drives, which transmits power via the friction force between a spherical shaped variator and output disks. The variator varies the speed ratio of SS-CVT continuously as well as transmits input power into the output shaft. Therefore two friction forces are normally applied on the variator; one is the longitudinal friction force for power transmission and the other is the lateral for shifting. In order to investigate the dynamic behavior of SS-CVT, we introduced a numerical model of 2-dimensional friction force using a function of slip ratio and slip angle. And a dynamic model, which describes the shifting mechanism of SS-CVT, is developed through 3-dimensional vector analysis. Finally we presented numerical results of the shift characteristics focused on the transient behavior of the variator's slip ratio and slip angle. The numerical results also show the typical CVT shifting characteristics of SS-CVT and stable shifting behaviors of the variator.

Feature Extraction of Handwritten Numerals using Projection Runlength (Projection Runlength를 이용한 필기체 숫자의 특징추출)

  • Park, Joong-Jo;Jung, Soon-Won;Park, Young-Hwan;Kim, Kyoung-Min
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.8
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    • pp.818-823
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    • 2008
  • In this paper, we propose a feature extraction method which extracts directional features of handwritten numerals by using the projection runlength. Our directional featrures are obtained from four directional images, each of which contains horizontal, vertical, right-diagonal and left-diagonal lines in entire numeral shape respectively. A conventional method which extracts directional features by using Kirsch masks generates edge-shaped double line directional images for four directions, whereas our method uses the projections and their runlengths for four directions to produces single line directional images for four directions. To obtain the directional projections for four directions from a numeral image, some preprocessing steps such as thinning and dilation are required, but the shapes of resultant directional lines are more similar to the numeral lines of input numerals. Four [$4{\times}4$] directional features of a numeral are obtained from four directional line images through a zoning method. By using a hybrid feature which is made by combining our feature with the conventional features of a mesh features, a kirsch directional feature and a concavity feature, higher recognition rates of the handwrittern numerals can be obtained. For recognition test with given features, we use a multi-layer perceptron neural network classifier which is trained with the back propagation algorithm. Through the experiments with the handwritten numeral database of Concordia University, we have achieved a recognition rate of 97.85%.

Comparison of Nonlinear Analysis Programs for Small-size Reinforced Concrete Buildings II (소규모 철근콘크리트 건축물을 위한 비선형해석 프로그램 비교 II)

  • Yoo, Changhwan;Kim, Taewan;Park, Hong-Gun
    • Journal of the Earthquake Engineering Society of Korea
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    • v.19 no.5
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    • pp.229-238
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    • 2015
  • For small-size reinforce-concrete buildings, Midas Gen, OpenSees, and Perform-3D, which are structural analysis programs that are most popularly used at present, were applied for nonlinear static pushover analysis, and then difference between those programs was analyzed. Example buildings were limited to 2-story frames with irregular shaped walls. Analysis result showed that there were more differences than for frames only and frames with rectangular walls, but it was not so significant. Nevertheless, the capacity curve were different in some buildings, which is attributed to shape and location of walls, and feature of the analysis program. Especially, selection of automatic or manual input in Midas Gen, or nonlinear wall elements in Perform3D can affect the capacity curve and performance of the buildings. Therefore, the program users should understand the feature of the program well, and then conduct performance assessment. The result of this study is limited to low-story buildings so that it should be noted that it is possible to get different results for mid- to high-rise buildings.

A Design of the Dual-Band Bandpass Filter Using a Coupling Controllable Dual-Mode Resonators (상·하측 대역의 대역폭 조절이 가능한 이중 대역 대역 통과 필터 설계)

  • Pyo, Hyun-Seong;An, Jae-Min;Kim, Kyoung-Keun;Lim, Yeong-Seog
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.1
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    • pp.9-15
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    • 2011
  • In this paper, we designed and fabricated a dual-band bandpass filter which can control upper and lower bandwidth using the transformed E-shaped dual-mode resonator. The filter is made the coupling between even-mode not to affect odd-mode resonant frequency by the transformed resonator to control upper bandwidth effectively. The cross coupling between input and output feed lines was employed to improve stopband characteristic. The bandpass filter has been designed to indicate the same bandwidth at center frequency 2 GHz and 3 GHz to show to control bandwidth.

Lane Detection System using CNN (CNN을 사용한 차선검출 시스템)

  • Kim, Jihun;Lee, Daesik;Lee, Minho
    • IEMEK Journal of Embedded Systems and Applications
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    • v.11 no.3
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    • pp.163-171
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    • 2016
  • Lane detection is a widely researched topic. Although simple road detection is easily achieved by previous methods, lane detection becomes very difficult in several complex cases involving noisy edges. To address this, we use a Convolution neural network (CNN) for image enhancement. CNN is a deep learning method that has been very successfully applied in object detection and recognition. In this paper, we introduce a robust lane detection method based on a CNN combined with random sample consensus (RANSAC) algorithm. Initially, we calculate edges in an image using a hat shaped kernel, then we detect lanes using the CNN combined with the RANSAC. In the training process of the CNN, input data consists of edge images and target data is images that have real white color lanes on an otherwise black background. The CNN structure consists of 8 layers with 3 convolutional layers, 2 subsampling layers and multi-layer perceptron (MLP) of 3 fully-connected layers. Convolutional and subsampling layers are hierarchically arranged to form a deep structure. Our proposed lane detection algorithm successfully eliminates noise lines and was found to perform better than other formal line detection algorithms such as RANSAC

A Metallurgical Study on Sputtered thin Film Magnet of high $_{i}\textrm{H}_{c}$ Nd-(Fe, Co)-B alloy and Magnetic

  • Kang, Ki-Won;Kim, Jin-Ku;Song, Jin-Tae
    • Korean Journal of Materials Research
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    • v.4 no.5
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    • pp.535-540
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    • 1994
  • Thin film magnet was fabricated by radio frequency magnetron sputtering using $Nd_13/(Fe.Co)_{70}B_{17}$ alloy target and magnetic properties were investigated according to sputtering conditions from the metallurgical point of view. we could obtain the best preferred orientation of $Nd_2Fe_{14}B$ phase at substrate temperatures between $450^{\circ}C$ and $460^{\circ}C$ with the input power 150W, and thin films had the anisotropic magnetic properties. But, as the thickness of thin film increased, the c-axis orientation gradually tended to be disordered and magnetic properties also become isotropic. Just like Nd-Fe-B meltspun ribbon, the microstructure of thin film magnet was consisted of very find cell shaped $Nd_2Fe_{14}B$ phase and the second phase along grain boundary. While, domain structure showed maze patterns whose magnetic easy axis was was perpendicular to film plane of thin film. It was concluded from these results that the perpendicualr anisotropy in magnetization was attributed to the perpendicular alignment of very find $Nd_2Fe_{14}B$ grains in thin film.

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Fabrication of EDM Electrodes by Localized Electrochemical Deposition

  • Habib, Mohammad Ahsan;Gan, Sze Wei;Lim, Han-Seok;Rahman, Mustafizur
    • International Journal of Precision Engineering and Manufacturing
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    • v.9 no.2
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    • pp.75-80
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    • 2008
  • The fabrication of complex three-dimensional electrodes for micro electrical discharge machining (micro-EDM) is an important issue in the field of micromachining Localized electrochemical deposition (LECD) is a simple and inexpensive technique for fabricating micro-EDM electrodes. This study presents a new process for manufacturing electrodes with complex cross-sections using masks of different shapes, In this process, a non-conductive mask is placed between an anode and cathode that are immersed in a plating solution of acidified copper sulfate. The LECD is achieved by applying a pulsed voltage between the anode and cathode, which are separated by a small distance. In this setup, the cathode is placed above the anode and the mask, so that the deposited electrode can be used directly for EDM without changing the tool orientation. We found that the microstructure of the deposited electrode is influenced by the concentration of the plating solution and organic additives. Moreover, the values of the voltage, frequency, and duty cycle of the pulsed input have significant effects on the microstructure of the fabricated electrode. Finally, the optimum values of the voltage, frequency, and duty cycle were determined for the most effective fabrication of complex-shaped electrodes.

Active Structural Acoustical Control of a Smart Panel Using Direct Velocity Feedback (직접속도 피드백을 이용한 지능판의 능동구조음향제어)

  • Stephen J, Elliott;Paolo, Gardonio;Young-Sup, Lee
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.10
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    • pp.1007-1014
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    • 2004
  • This paper presents a study of low frequencies volume velocity vibration control of a smart panel in order to reduce sound transmission. A distributed piezoelectric quadratically shaped polyvinylidene fluoride (PVDF) polymer film is used as a uniform force actuator and an array of $4\;{\times}\;4$ accelerometer is used as a volume velocity sensor for the implementation of a single-input single-output control system. The theoretical and experimental study of sensor-.actuator frequency response function shows that this sensor-actuator arrangement provides a required strictly positive real frequency response function below about 900 Hz. Direct velocity feedback could therefore be implemented with a limited gain which gives reductions of about 15 dB in vibration level and about 8 dB in acoustic power level at the (1,1) mode of the smart panel. It has been also shown that the shaping error of PVDF actuator could limit the stability and performance of the control system.