• Title/Summary/Keyword: Average Filter

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Performance evaluation of noise reduction algorithm with median filter using improved thresholding method in pixelated semiconductor gamma camera system: A numerical simulation study

  • Lee, Youngjin
    • Nuclear Engineering and Technology
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    • v.51 no.2
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    • pp.439-443
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    • 2019
  • To improve the noise characteristics, software-based noise reduction algorithms are widely used in cadmium zinc telluride (CZT) pixelated semiconductor gamma camera system. The purpose of this study was to develop an improved median filtering algorithm using a thresholding method for noise reduction in a CZT pixelated semiconductor gamma camera system. The gamma camera system simulated is a CZT pixelated semiconductor detector with a pixel-matched parallel-hole collimator and the spatial resolution phatnom was designed with the Geant4 Application for Tomography Emission (GATE). In addition, a noise reduction algorithm with a median filter using an improved thresholding method is developed and we applied our proposed algorithm to an acquired spatial resolution phantom image. According to the results, the proposed median filter improved the noise characteristics compared to a conventional median filter. In particular, the average for normalized noise power spectrum, contrast to noise ratio, and coefficient of variation results using the proposed median filter were 10, 1.11, and 1.19 times better than results using conventional median filter, respectively. In conclusion, our results show that the proposed median filter using improved the thresholding method results in high imaging performance when applied in a CZT semiconductor gamma camera system.

Bird sounds classification by combining PNCC and robust Mel-log filter bank features (PNCC와 robust Mel-log filter bank 특징을 결합한 조류 울음소리 분류)

  • Badi, Alzahra;Ko, Kyungdeuk;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • v.38 no.1
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    • pp.39-46
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    • 2019
  • In this paper, combining features is proposed as a way to enhance the classification accuracy of sounds under noisy environments using the CNN (Convolutional Neural Network) structure. A robust log Mel-filter bank using Wiener filter and PNCCs (Power Normalized Cepstral Coefficients) are extracted to form a 2-dimensional feature that is used as input to the CNN structure. An ebird database is used to classify 43 types of bird species in their natural environment. To evaluate the performance of the combined features under noisy environments, the database is augmented with 3 types of noise under 4 different SNRs (Signal to Noise Ratios) (20 dB, 10 dB, 5 dB, 0 dB). The combined feature is compared to the log Mel-filter bank with and without incorporating the Wiener filter and the PNCCs. The combined feature is shown to outperform the other mentioned features under clean environments with a 1.34 % increase in overall average accuracy. Additionally, the accuracy under noisy environments at the 4 SNR levels is increased by 1.06 % and 0.65 % for shop and schoolyard noise backgrounds, respectively.

Design of A Portable Device for Measuring Heart Rate Using Harmonic Signal and Adaptive Filter (하모닉 신호와 적응 필터를 이용한 휴대형 심박수 측정 장치 설계)

  • Lee, Ju-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.3
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    • pp.723-728
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    • 2010
  • This study proposed a design of a portable device for measuring heart rate using photoplethysmograph signal to minimize load of a nurse increased from insufficiency of an internal hospital nurse, and algorithm to measure reliable heart rate in PPG signals despite the existence of patient's motion artifacts. The proposed method for measuring heart rate is the method to minimize the motion interference by using the adaptive filter based on harmonic characteristic of PPG signal. To evaluate the performances of the a portable device implemented by the proposed method, we used several motion artifacts including finger and wrist movements; we then compared out results with the performance of the moving average filter. In this results, the proposed method showed a better performance than that of the moving average filter. Therefore, when nurses use the a portable device for measuring heart rate proposed in this study, it will enable to improve nurse work and to measure the reliable heart rate.

Fabrication of Anti-Moiré Filter Using Multi-Array Needle Coating for LED Screens (다중 배열 니들 코팅을 이용한 LED 스크린용 Anti-Moiré 필터 제작)

  • Jeon, Kyungjun;Lee, Jinyoung;Park, Jongwoon
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.1
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    • pp.77-82
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    • 2021
  • Using a multi-array needle module developed for coating of high-density cylindrical microlens array (C-MLA), we have fabricated an anti-Moiré filter for LED screens. The Moiré phenomenon appears due to the interference between the array pattern of image sensors in a camera and the non-emission area (grid pattern) of a LED screen. To suppress it, we have employed poly(methyl methacrylate) (PMMA) and coated it on a glass substrate in the form of a grid and non-grid (parallel lines). We have rotated the needle module in order to increase the number of C-MLAs. With this scheme, we have fabricated the 150 mm × 150 mm anti-Moiré filters where 836 microlens lines are formed. They show the average width of 255.4 ㎛, the average distance between CMLs of 94.6 ㎛, and C-MLA width non-uniformity of 4.7%. We have shown that the Moiré patterns still appear in the presence of the parallel (non-grid)-type filter, whereas they disappeared completely by the grid-type filter. It is due to the fact that the Moiré patterns are diffused more effectively by the grid-type C-MLA.

Distance Estimation Based on RSSI and RBF Neural Network for Location-Based Service (위치 서비스를 위한 RBF 신경회로망과 RSSI 기반의 거리추정)

  • Byeong-Ro Lee;Ju-Won Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.265-271
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    • 2023
  • Recently, location information services are gradually expanding due to the development of information and communication technology. RSSI is widely used to extract indoor and outdoor locations. The indoor and outdoor location estimation methods using RSSI are less accurate due to the influence of radio wave paths, interference, and surrounding wireless devices. In order to improve this problem, a distance estimation method that takes into account the wireless propagation environment is necessary. Therefore, in this study, we propose a distance estimation algorithm that takes into account the radio wave environment. The proposed method estimates the distance by learning RSSI input and output considering the RBF neural network and the propagation environment. To evaluate the performance of the proposed method, the performance of estimating the location of the receiver within a range of up to 55[m] using a BLE beacon transmitter and receiver was compared with the average filter and Kalman filter. As a result, the distance estimation accuracy of the proposed method was 6.7 times higher than that of the average filter and Kalman filter. As shown in the results of this performance evaluation, if the method of this study is applied to location services, more accurate location estimation will be possible.

Improved dc-link capacitor voltage control of Distribution Static Compensator (배전용 정지형 보상기의 개선된 직류단 커패시터 전압제어)

  • Kim, Ho-Yeol;Choi, Jong-Woo
    • Proceedings of the KIPE Conference
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    • 2010.07a
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    • pp.466-467
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    • 2010
  • Researches about DSTATCOM are mainly divided two parts, one is the calculation of the load-side average active power and dc-link capacitor average voltage, the other part is the current control. This paper proposes a calculation of dc-link capacitor average voltage using improved method instead of conventional method using LPF (low pass filter). Through the theoretical analysis and simulation under unbalance loads and non-linear load, the proposed method is verified.

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Study on the One-Strip Electrode Ceramic Filter Using the Energy Trapping Effect (에너지트랩 효과를 이용한 단일전극 세라믹 필터에 관한 연구)

  • 송준태;정인영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.1
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    • pp.73-81
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    • 1991
  • In order to simulate the ceramic filter in the state of the one-strip electrode, the theory has been analyzed and a computer program has been developed using the energy trapping effect. The ceramic filters were fabricated using the PZT-4 specimen. The necessary condition that the ceramic filter has the energy trapping effect is that the electroded portion frequency should be smaller than the unelectroded portion frequency when the wave number is zero. Each of the average differences of the resonant point and bandwidth between by the theoretical calculations and by experiment results was 5.6[%] and 3.72[%]. It is considered that the one-strip ceramic filter having a desired characteristics and the lowest difference can be fabricated easily by means of the simulation developed in this paper and the fabrication methods.

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Wavelet-Based Noise Estimation in Image (웨이브릿에 기반한 영상의 잡음추정)

  • 안태경;우동헌;김재호
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.747-750
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    • 2001
  • The paper presents an algorithm for estimating the variance of additive zero mean Gaussian noise in an image. The algorithm uses the wavelet transform which is a good tool for energy compaction. The algorithm consists of three steps. At first, high frequency components, wavelet coefficients in HH band, are generated from a noisy image by the wavelet transform. In a second step, high frequency components which are out of the noise range ate eliminated. Finally, if the image has many components eliminated in the previous step, then its noise estimated value is reduced. Experimental results show that the wavelet filter has better performance than the other high pass filters such as a Laplacian filter, residual from a median filter, residual from a mean filter, and a difference operator. In various images, the algorithm reduces 50% of estimated error on an average.

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Convolutional Neural Network with Particle Filter Approach for Visual Tracking

  • Tyan, Vladimir;Kim, Doohyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.2
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    • pp.693-709
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    • 2018
  • In this paper, we propose a compact Convolutional Neural Network (CNN)-based tracker in conjunction with a particle filter architecture, in which the CNN model operates as an accurate candidates estimator, while the particle filter predicts the target motion dynamics, lowering the overall number of calculations and refines the resulting target bounding box. Experiments were conducted on the Online Object Tracking Benchmark (OTB) [34] dataset and comparison analysis in respect to other state-of-art has been performed based on accuracy and precision, indicating that the proposed algorithm outperforms all state-of-the-art trackers included in the OTB dataset, specifically, TLD [16], MIL [1], SCM [36] and ASLA [15]. Also, a comprehensive speed performance analysis showed average frames per second (FPS) among the top-10 trackers from the OTB dataset [34].

Construction of High-Speed Wavelength Swept Mode-Locked Laser Based on Oscillation Characteristics of Fiber Fabry-Perot Tunable Filter (광섬유 패브리-페로 파장가변 필터의 공진특성에 기반한 고속 파장가변 모드잠김 레이저의 제작)

  • Lee, Eung-Je;Kim, Yong-Pyung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.7
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    • pp.1393-1397
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    • 2009
  • A high-speed wavelength swept laser, which is based on oscillation characteristics of a fiber Fabry-Perot tunable filter, is described. The laser is constructed by using a semiconductor optical amplifier, a fiber Fabry-Perot tunable filter, and 3.348 km fiber ring cavity. The wavelength sweeps are repeatatively generated with the repetition period of 61 kHz which is the first parallel oscillation frequency of the Fabry-Perot tunable filter for the low power consumption. Mode-locking is implemented by 3.348 km fiber ring cavity for matching the fundamental of cavity roundtrip time to the sweep period. The wavelength tuning range of the laser is 87 nm(FWHM) and the average output power is 1.284 mW.