This paper proposes a solder joint inspection method based on region segmentation and color feature extraction. This paper classifies various types of solder joint by an inspection procedure that is divided into a fea...
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In this paper, we propose an extended Kalman filter(EKF)-based simultaneous localization and mapping(SLAM) method using laser corner pattern matching for mobile robots. SLAM is one of the most important problems of mo...
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In this paper, we propose a new localization system using ceiling outlines. We acquire the entire ceiling image by using fisheye lens camera, and extract the lines by binarization and segmentation. The optical flow al...
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This paper proposes an auto-parking controller for omnidirectional mobile robots. The controller uses the multi-sensor system including ultrasonic sensor and camera. The several ultrasonic sensors of robot detect the ...
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This paper proposes a SMD (surface mounting device) classification method for the PCB assembly inspection machines. The package types of SMD components should be classified to create the job program of the inspection ...
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This paper presents a visual touch recognition for NUKNatural User Interface) using Voronoi-tessellation algorithm. The proposed algorithms are three parts as follows: hand region extraction, hand feature point extrac...
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In this paper, we propose the grid-based output control method for wind farm. To do this, we propose the output control method using the PSO(Particle Swarm Optimization) algorithm. Secondly, we propose the method for ...
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In this paper, we propose the grid-based output control method for wind farm. To do this, we propose the output control method using the PSO(Particle Swarm Optimization) algorithm. Secondly, we propose the method for detecting the harmonics using STFT(Short-Time Fourier Transform) algorithm. And last, we propose the method for compensating the harmonics using neural network. Finally, we show the effectiveness and feasibility of the proposed method though some simulations.
In this paper, a landmark based localization system using a Kinect sensor is proposed and evaluated with the implemented system for precise and autonomous navigation of low cost robots. The proposed localization metho...
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In this paper, a landmark based localization system using a Kinect sensor is proposed and evaluated with the implemented system for precise and autonomous navigation of low cost robots. The proposed localization method finds the positions of landmark on the image plane and the dept. value using color and dept. images. The coordinates transforms are defined using the dept. value. Using coordinate transformation, the position in the image plane is transformed to the position in the body frame. The ranges between the landmarks and the Kinect sensor are the norm of the landmark positions in body frame. The Kinect sensor position is computed using the tri-lateral whose inputs are the ranges and the known landmark positions. In addition, a new matching method using the pin hole model is proposed to reduce the mismatch between dept. and color images. Furthermore, a height error compensation method using the relationship between the body frame and real world coordinates is proposed to reduce the effect of wrong leveling. The error analysis are also given to find out the effect of focal length, principal point and dept. value to the range. The experiments using 2D bar code with the implemented system show that the position with less than 3cm error is obtained in enclosed space(3,500mm *3,000mm*2,500m).
As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear-cubic c...
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ISBN:
(纸本)9781450324694
As the better high quality image is required for digital image scaling, longer processing time is required so the technology that can make the high quality image quickly is needed. We propose the double linear-cubic convolution interpolation creating the high quality image with low complexity. When compared to peak signal-to-noise ratio(PSNR) and computation time, the proposed interpolation provided better PSNR and low complexity than bicubic convolution interpolation. Copyright 2014 ACM.
control of phase current is an integral part of operation in Switched Reluctance Generators (SRG). Since machine windings experience a substantial back-emf during generation, stator phase currents tend to increase eve...
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control of phase current is an integral part of operation in Switched Reluctance Generators (SRG). Since machine windings experience a substantial back-emf during generation, stator phase currents tend to increase even after the phase is turned off. This in turn necessitates an oversized converter, thereby increasing the cost and overall size of the system. Moreover, due to variations in speed of the prime mover, the power electronic converter should be designed for the worst possible case. This will magnify the additional cost and size issues. Furthermore, implementation of a current profiling scheme for specific reasons such as active vibration cancellation, etc. requires an online estimation of the motional back-emf. In the present paper, a novel method for controlling the current in SRG is proposed. This method enhances the cost and size of the power electronics converter. In addition, using an online estimation of motional back-emf, it makes current profiling in the stator windings possible. This will pave the way for advanced applications of SRG in automotive, aerospace and other challenging places. It must be noted that this method does not require any extra circuitry or memory for its implementation.
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