• Title/Summary/Keyword: Pre-signal Processing

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An Analysis of Preference for Korean Pop Music By Applying Acoustic Signal Analysis Techniques (음향신호분석 기술을 적용한 한국가요의 시대별 선호도 분석)

  • Cho, Dong-Uk;Kim, Bong-Hyun
    • The KIPS Transactions:PartD
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    • v.19D no.3
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    • pp.211-220
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    • 2012
  • Recently K-Pop gained worldwide sensational popularity, no longer limited to the domestic pop music scene. One of the main causes can be that K-Pop mostly are "Hook Song" which has the "hook effect": a certain melody or/and rhythm is repeated up to 70 times in one song so that it hooks the ear of the listener. Also, visual effects by K-Pop dance group are supposed to contribute to gaining the popularity. In this paper, we propose a method which traces the changes of preference for Korean pop music according to the passing of time and investigates the causes using acoustic signal analysis. For this, experiments in acoustic signal analysis are performed on Korean pop music of from popular female singers in 1960s to those as of this date. Experimental results by applying acoustic signal processing techniques show that the periods discrimination is possible based on scientific evidences. Also, quantitative, objective and numerical data based on acoustic signal processing techniques are extracted compared with the pre-existing methods such as subjective and statistical data.

On-line Detection of Cracks in Eggshell (계란 크랙의 온라인 검출)

  • 최완규;조한근;백진하;장영창;연광석;조성찬
    • Journal of Biosystems Engineering
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    • v.24 no.3
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    • pp.253-258
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    • 1999
  • This study was conducted to develop an automatic egg inspection system for detecting creaked eggs based on acoustic impulse response. This system includes a sound generator, a sound sensor with signal conditioner, and a computer. The sound generator that hit the sharp of the dull edges of an egg was constructed with a ceramic ball pendulum attached to a rotary type solenoid. The signal conditioner included a pre-amplifier and a digital signal processing (DSP) board. The parameters for distinguishing cracked and normal eggs were the area, the geometric centroid and the resonance frequency of power spectrum of the acoustic signal generated. An algorithm for on-line detection of the continuous transferring eggs was developed. The performance tests resulted with 91% success rate to separate cracked and normal eggs at the rate of 1 second per an egg.

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The Signal-to-Noise Ratio Enhancement of the Satellite Electro-Optical Imager using Noise Analysis Methods (영상센서신호의 잡음분석을 이용한 위성용 전자광학탑재체의 신호대잡음비 개선 방법)

  • Park, Jong-Euk;Lee, Kijun
    • Korean Journal of Remote Sensing
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    • v.33 no.2
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    • pp.159-169
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    • 2017
  • The Satellite Electro-Optic Payload System needsspecial requirements with the conditions of limited power consumption and the space environment of solar radiation. The acquired image quality should be mainly depend on the GSD (Ground Sampled Distance), SNR (Signal to Noise Ratio), and MTF (Modulation Transfer Function). On the well-manufactured sensor level, the thermal noise is removed on ASP (Analog Signal Processing) using the CDS (Corrective Double Sampling); the noise signal from the image sensor can be reduced from the offset signals based on the pre-pixels and the dark-pixels. The non-uniformity shall be corrected with gain, offset, and correction parameter of the image sensor pixel characteristic on the sensor control system. This paper describes the SNR enhancement method of the satellite EOS payload using the mentioned noise remove processes on the system design and operation, which is verified by tests and simulations.

Proposed Pre-Processing Method for Improving Pothole Dataset Performance in Deep Learning Model and Verification by YOLO Model (딥러닝 모델에서 포트홀 데이터셋의 성능 향상을 위한 전처리 방법 제안과 YOLO 모델을 통한 검증)

  • Han-Jin Lee;Ji-Woong Yang;Ellen J. Hong
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.4
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    • pp.249-255
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    • 2022
  • Potholes are an important clue to the structural defects of asphalt pavement and cause many casualties and property damage. Therefore, accurate pothole detection is an important task in road surface maintenance. Many machine learning technologies are being introduced for pothole detection, and data preprocessing is required to increase the efficiency of deep learning models. In this paper, we propose a preprocessing method that emphasizes important textures and shapes in pothole datasets. The proposed preprocessing method uses intensity transformation to reduce unnecessary elements of the road and emphasize the texture and shape of the pothole. In addition, the feature of the porthole is detected using Superpixel and Sobel edge detection. Through performance comparison between the proposed preprocessing method and the existing preprocessing method, it is shown that the proposed preprocessing method is a more effective method than the existing method in detecting potholes.

Blocking of Internet Harmful Sex Sites by Accoustic Signal Processing (음향 신호 처리에 의한 음란 유해 사이트의 차단)

  • 이범주;김도연;장민형;박은배;신관철;유정선;조동욱;문창배
    • Proceedings of the Korea Contents Association Conference
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    • 2003.11a
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    • pp.481-485
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    • 2003
  • This paper proposes on the blocking method of Internet harmful sex sites by accoustic signal processing. Pre-existing methods mainly focused on directory-based blocking and words-based blocking. But these methods are not completely blocked the Internet harmful sites. Therefore, we propose the content-based blocking method which compose of the image-based blocking and the accoustic-based blocking. In this paper, we mainly deal with the accoustic -based blocking method. Finally, the effectiveness of this system is demonstrated by several experiments.

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The Position Control Of Expended PID Controller Using Double-Layers Neural Network In DC Servo System (DC서보계에서 2중신경망을 이용한 확대 PID 제어기의 위치제어)

  • 이정민;하홍곤
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2000.08a
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    • pp.105-108
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    • 2000
  • Many control techniques have been proposed in order to improve the control performance of discrete-time domain control system. In the position control system using a DC servo motor as a driver, the response-characteristic of system is controlled by the PID controller. In the PID control system, the transient response characteristic is more increased and settling time gets longer if gains of PID controller are unsuitable. In this paper, therefore, a expended PID control system is constructed by inserting a pre-compensator at output terminal of PID controller. It is implemented by using the double layers neural network. Form the results of computer simulation in the proposed control algorithm, its usefulness is verified.

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Doppler Radar System for Noncontact Bio-signal measurement (비접촉 방식의 생체 신호 측정을 위한 도플러 레이더 시스템)

  • Shin, Jae-Yeon;Cho, Sung-Pil;Jang, Byung-Jun;Park, Ho-Dong;Lee, Yun-Soo;Lee, Kyoung-Joung
    • Proceedings of the IEEK Conference
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    • 2009.05a
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    • pp.357-359
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    • 2009
  • In this paper, the 2.4GHz doppler radar system consisting of the doppler radar module and a baseband module were designed to detect heartbeat and respiration signal without direct skin contact. A bio-radar system emits continuous RF signal of 2.4GHz toward human chest, and then detects the reflected signal so as to investigate cardiopulmonary activities. The heartbeat and respiration signals acquired from quadrature signal of the doppler radar system are applied to the pre-processing circuit, amplification circuit, and the offset circuit of the baseband module. ECG(electrocardiogram) and reference respiration signals are measured simultaneously to evaluate the doppler radar system. As a result, the respiration signal of doppler radar signal is detected to 1m without complex digital signal processing. The sensitivity and calculated from I/Q respiration signal were $98.29{\pm}1.79%$, $97.11{\pm}2.75%$, respectively, and positive predictivity were $98.11{\pm}1.45%$, $92.21{\pm}10.92%$, respectively. The sensitivity and positive predictivity calculated from phase and magnitude of the doppler radar were $95.17{\pm}5.33%$, $94.99{\pm}5.43%$, respectively. In this paper, we confirmed that noncontact real-time heartbeat and respiration detection using the doppler radar system has the possibility and limitation.

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A Frequency Spectrum Analysis based on FFT of Fire Thermal Image (FFT를 이용한 화재 열영상의 주파수 스펙트럼 분석)

  • Kim, Won-Ho;Jang, Bok-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.1
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    • pp.33-37
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    • 2011
  • This paper presents the frequency spectral analysis based on FFT of the infrared ray fire thermal image, it is an object to deduce the conditions for determining fire alarm through the image processing with the frequency domain. After the candidate regions are separated by using pre-defined brightness value, the fast fourier transform is performed for consecutive infrared thermal images, the frequency spectral analysis of the thermal image analyzed DC and AC frequency distribution. The fire criterion of the thermal image was presented based on the analyzed result and a practicality was confirmed through the computer simulation.

A Study on DR Image Processing Algorithm and Hardware System for Real Time Implementation (DR 영상 전처리 알고리즘 및 실시간 구현을 위한 하드웨어 설계에 관한 연구)

  • Chang, Won-Suk;Kim, Dae-Hyun;Huh, Young
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3230-3232
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    • 2000
  • DR (Digital Radiography) system will be the best candidate for next generation x-ray diagnosis system. DR system will replace x-ray film by computer monitor and provide various merits like reduced processing time, easy recording, remote diagnosis and etc. In this paper, we propose the pre-processing algorithm which is designed to compensate dead and defected pixel for x-ray detector panel. We also designed DSP(Digital Signal Processor) based DR image processing board for real-time processing of suggested algorithm.

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PC-based Processing of Shallow Marine Multi-channel Seismic Data (PC기반의 천해저 다중채널 탄성파 자료의 전산처리)

  • 공영세;김국주
    • 한국해양학회지
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    • v.30 no.2
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    • pp.116-124
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    • 1995
  • Marine, shallow seismic data have been acquired and processed by newly developed multi-channel(6 channel), PC-based digital recording and processing system. The digital processing system includes pre-processing, swell-compensation filter, frequency filter, gain correction, deconvolution, stacking, migration, and plotting. The quality of processed sections is greatly enhanced in terms of signal-to-noise ratio and vertical/horizontal resolution. The multi-channel, digital recording, acquisition and processing system proved to be and economical, efficient and easy-to-use marine shallow seismic tool.

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