• Title/Summary/Keyword: 소리신호

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Development of a Sow Voice Analysis System for Forecasting Parturition Time (임신돈의 분만시기 예측을 위한 음성 분석 시스템 개발)

  • 장동일;임정택;임영일;한원석;박창식
    • Journal of Animal Environmental Science
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    • v.6 no.2
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    • pp.121-130
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    • 2000
  • Pure voice characteristics of sow were analyzed to predict parturition time. These were analyzed by using oscilloscope and Sound Forge and the results showed that the voice frequency and amplitude of sow were in the range of 30∼2,500Hz and -35∼-75dB. According to the sound analysis results, the frequencies of sound appearance from farrowing sow in the farrowing pen for three days prior to delivery day and eight hours of prior to delivery day and eight hours of prior to time were around 85% and 46%, respectively of the total appearance during eight days to delivery. Forecasting of delivery time of farrowing sow using the number of sound occurrences showed a promising result such that those have been increased whenever the delivery time was approached. The forecasting success rates were 100% for both of one day and six hours prior to the actual delivery.

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Development of a sow voice analysis system for forecasting parturition time (임신돈의 분만시기 예측을 위한 음성 분석 시스템 개발)

  • Chang, Dong Il;Lim, Zung Taek
    • Korean Journal of Agricultural Science
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    • v.27 no.2
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    • pp.107-116
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    • 2000
  • Pure voice characteristics of sow were analyzed to predict parturition time. These were analyzed by using oscilloscope and Sound Forge and the results showed that the voice frequency and amplitude of sow were in the range of 30~2,500Hz and -35~-75dB. According to the sound analysis results, the frequencies of sound appearance from farrowing sow in the farrowing pen for three days prior to delivery day and eight hours of prior to time were around 85% and 46%, respectively of the total appearance during eight days to delivery. Forecasting of delivery time of farrowing sow using the number of sound occurrences showed a promising result such that those have been increased whenever the delivery time was approached. The forecasting success rates were 100% for both of one day and six hours prior to the actual delivery.

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A Study on Sound Wave and Signal Processing in Enclosed Space (밀폐공간에서의 소리파동과 신호처리에 관한 연구)

  • Jeon, Yong-Woo;Soh, Dea-Wha
    • Journal of the Speleological Society of Korea
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    • no.70
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    • pp.63-74
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    • 2006
  • 소리의 파동, 특히 밀폐된 동굴 속에서 일어나는 음향파동에 대한 과학적 접근과 함께 첨단과학을 통한 소리의 분석기법을 통하여 소리과학과 동굴 및 그 구조에 따른 음파의 공명(증폭)현상과 인류생활의 소리문화의 상관성을 재조명하였다. 따라서 동굴 속에서 음악을 연주하는 경우 작은 소리라도 매우 웅장한 소리효과를 낼 수 있으며, 고음보다는 저음에서의 울림효과를 크게 가져 올 수 있다. 특히 이러한 파동현상과 음향효과를 통하여 기 발굴된 동굴의 체계적 관리 방안과 미 발굴 지하 동굴의 발굴에도 적용할 수 있을 것으로 기대되며, 동굴의 음향파동현상을 응용한 기술로 지각운동과 변화 및 동굴의 상태 분석과 변화 요인을 관찰하는데 효과적인 역할과 방법을 제공할 수 있을 것으로 기대된다.

Implementation of ADPCM analog, digital converter with VHDL (VHDL을 사용한 ADPCM analog/digital변환기의 구현에 관한 연구)

  • 김재현;이준용
    • Proceedings of the Korean Information Science Society Conference
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    • 2002.04a
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    • pp.37-39
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    • 2002
  • 컴퓨터의 보급과 통신의 발달에 따라 많은 자료가 모뎀 등의 장비를 통하여 네트워크 상에서 이동하고, 인간의 음성, 혹은 소리가 컴퓨터에 사용되게 되었다. 이에 따라 소리, 네트워크 상의 자료와 같은 아날로그 신호와 컴퓨터가 처리할 수 있는 디지털 신호간의 변환이 필요하게 되었다. 본 연구에서는 CCITT에서 제안한 아날로그, 디지털 변환 알고리즘인 ADPCM 알고리즘, G.721, G.726에 따라 아날로그, 디지털 변환기를 하드웨어 기술언어인 VHDL을 사용하여 실제적으로 구현하였다.

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Classification of Whale Sounds using LPC and Neural Networks (신경망과 LPC 계수를 이용한 고래 소리의 분류)

  • An, Woo-Jin;Lee, Eung-Jae;Kim, Nam-Gyu;Chong, Ui-Pil
    • Journal of the Institute of Convergence Signal Processing
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    • v.18 no.2
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    • pp.43-48
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    • 2017
  • The underwater transients signals contain the characteristics of complexity, time varying, nonlinear, and short duration. So it is very hard to model for these signals with reference patterns. In this paper we separate the whole length of signals into some short duration of constant length with overlapping frame by frame. The 20th LPC(Linear Predictive Coding) coefficients are extracted from the original signals using Durbin algorithm and applied to neural network. The 65% of whole signals were learned and 35% of the signals were tested in the neural network with two hidden layers. The types of the whales for sound classification are Blue whale, Dulsae whale, Gray whale, Humpback whale, Minke whale, and Northern Right whale. Finally, we could obtain more than 83% of classification rate from the test signals.

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Designing and Fabricating of the High-visibility Smart Safety Clothing (고시인성 스마트 안전의류의 설계 및 제작)

  • Park, Soon-Ja;Kim, Sun-Woong
    • Science of Emotion and Sensibility
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    • v.23 no.4
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    • pp.105-116
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    • 2020
  • The purpose of this study is to progress the limitations and disadvantages of existing safety clothing by applying high technology to current safety clothing that is produced and distributed only with fluorescent fabrics and retroreflective materials. Therefore, the industrial suspender-type safety belt and engineering technology are introduced, designed, and fabricated to help save a life in an emergency. First, the suspender-type safety belt to be developed is designed to emit light by LED attached to the film, and the body of the belt-wearer is recognized from a distance through retroreflection from the flashing LED. It aims to support people's safety by preventing accidents during roadside work, rescue activities, and sports activities at night. Second, with the development of advanced devices when the user is in an unconscious state due to distress or falls into an unconscious state due to distress or accident, the tilt sensor of the control unit attached to the belt automatically detects the angle of the human body and generates light and sound. It is intended to further enhance the utilization by mounting a sensing and signaling device that generates a distress signal and shaping it in the form of a belt attached to a vest that can be easily detached from the outside of the garment. When the wearer falls due to an accident, the tilt sensor of this belt detects the angle change and then the controller generates a high-frequency sound and repeated LED blinking signals at the same time. In the case of conventional safety vests, it is almost impossible to detect that the person is wearing a vest when there is no ambient light, but in case of the safety belts in this study, the sound and light signals of the safety belt enable us to find the wearer within 100 meters even when there is no ambient light.

Synthesizing the Dan-So sound using the Physical Modeling (Physical Modeling을 이용한 단소 음 합성)

  • Seong, Duk-Hyun;Kim, Kyoo-Nyun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.04a
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    • pp.273-276
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    • 2002
  • 본 논문에서는 Physical Modeling을 이용해 단소의 음을 합성해 내는 방법에 대해 연구 하였다. 현재 관 악기의 음 합성 방법은, Julius O. Smith가 제안한 digital waveguide모델을 근간으로 하여 여러 악기들의 소리를 합성하는 방법에 대해 연구 되고 있다. 본 논문에서는 digital waveguide모델을 사용하여 단소 관속의 움직임, two-port scattering model을 이용한 관속과 음공 사이의 공기의 움직임에 대해 기술하였고, reflection filter를 사용하여 단소 끝부분에서의 신호의 변화에 대해 연구 하였으며, 끝으로 관 내벽과 공기의 마찰에 의한 신호 손실에 대한 연구를 기술 하였다. 위에서 언급한 내용들의 연구결과를 토대로 음을 합성한 결과 실제 단소의 소리와 유사한 소리를 얻어 낼 수 있었다.

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Survey on the soundscape of urban districts in Cheong-ju using soundwalking (사운드워킹을 통한 청주시 도심지역 음풍경 조사)

  • Jo, A-Hyeon;Park, Chan-Jae;Haan, Chan-Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.6
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    • pp.593-606
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    • 2021
  • The present study investigated the sounds at 13 points in the four districts in Cheongju including commercial district, historic district, urban walking district and university campus in order to realize the soundscape of the city. In order to this, questionnaire survey was conducted to 65 citizens and 5 acoustic experts on sites to find both sound loudness and annoyance of each district. At the same time, information about loud, unpleasant, preferred and representative sound of each district were acquired by selecting three from 35 sounds which consist of natural, artificial and machinery sounds. As a result, it was found that there is a very close correlation between sound loudness and annoyance. Through the analysis of sounds at each district, it was revealed that machinery sounds dominate in commercial area as figure sound, It was also shown that artificial and natural sounds dominate in historic area, artificial sounds in both urban area and university campus respectively. Laboratory listening tests were undertaken to 20 people using recorded sounds and video captured on site. The results denote that machinery and artificial sounds are regarded as most loud, machinery sounds as most unpleasant, natural and artificial sounds as most pleasant which shows similar tendency of on-site evaluation.

Effect of fabric Sound from Active Wear on Electrodiagnosis and Subjective Sensation and Sensibility (스포츠웨어용 직물의 소리특성이 근전도와 주관적 감각 . 감성에 미치는 영향)

  • 정혜진;김춘정;조길수
    • Science of Emotion and Sensibility
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    • v.6 no.1
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    • pp.27-32
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    • 2003
  • The objectives of this study the effects of fabric noise from active wear on electrodiagnosis(EMG), to examine the effects on subjective sensation, and to relate the EMG results and the subjective sensation.. Five nylon water repellent taffeta fabrics were rubbed each other and the fabric noise were recorded. EMG was done from 10 female university students and electrodes were attached on each participant's upper arm and lower am. The subjective sensation was measured by FMME(Free Modulus Magnitude Estimation). The EMG values from upper arm showed higher voltage than those from lower arm, and the differences between values with fabric sound and without were larger at upper arm than those at lower am. EMG decreased when fabric sound was evaluated soft and pleasant, however It increased in proportion as fabric sound was evaluated loud and sharp. The predicted models for subjective sensation using physical sound properties and EMG results were well explained except roughness. Pleasantness was well predicted by EMG at upper am and EMG at lower arm, as the result, it was explained that the lower the EMG, the more pleasant the participant.

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Design and Evaluation of AMIDA Algorithm for MIC Sensor Signal Processing in USN (감시정찰용 소리 센서를 위한 AMIDA 알고리즘 설계 및 성능평가)

  • Park, Hong-Jae;Lee, Seung-Je;Ha, Gong-Yong;Kim, Li-Hyung;Kim, Young-Man
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.796-799
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    • 2008
  • 최근 유비쿼터스 컴퓨팅과 유비쿼터스 네트워크를 활용하여 새로운 서비스들을 개발하려는 노력이 진행 중이며, 이와 관련된 기술의 중요성도 급증하고 있다. 특히 감시정찰 센서네트워크의 핵심 구성요소인 저가의 경량 센서노드에서 측정한 미가공 데이터(raw data)를 사용하여 침입 물체의 실시간 탐지, 식별, 추적 및 예측하기 위한 디지털 신호처리 기술은 주요 기술 중 하나이다. 본 논문에서는 감시정찰 센서네트워크의 핵심 구성요소인 소리센서 노드에서 측정한 소리 미가공 데이터를 사용하여 차량을 탐지할 수 있는 소리센서 디지털 신호처리 알고리즘을 설계 및 구현 한다. 알고리즘의 주 목표는 감시정찰용 센서노드의 탐지 신뢰성을 높이기 위한 높은 침입물체 탐지 성공률(success rate)과 낮은 허위신고(false alarm) 횟수를 가지는 것이다. 성능평가 결과에 의하면 제안한 AMIDA 알고리즘은 90% 이상의 탐지 성공률과 2 회 이하의 허위신고 횟수를 가지는 것을 확인할 수 있었다.