PARK, DAI HEE,박대희,CHUNG, YONG WHA,정용화,KIM, SUK,OH, SEUNG GEUN,오승근,CHANG, HONG HEE,장홍희,LEE, JONG UK,이종욱
申请号：
KR1020120032622
公开号：
KR1020130110568A
申请日:
2012.03.29
申请国别(地区):
KR
年份:
2013
代理人:
摘要：
PURPOSE: An apparatus for detecting and identifying porcine respiratory disease using sound data and a method thereof are provided to rapidly detect the generation of porcine respiratory disease in real time based on porcine sound signals and prevent the diffusion of the porcine respiratory disease by accurately identifying the kind of the detected respiratory disease.CONSTITUTION: An apparatus for detecting and identifying porcine respiratory disease comprises: a signal receiving part which receives a sound signal obtained in real time a characteristic detecting part which extracts a feature vector from the received sound signal a respiratory disease generation detection part which determines whether the feature vector is sound generated from a pig having respiratory disease through one among a support vector machine (SVM) and a single class SVM and an alarm part which outputs a warning signal informing respiratory disease generation based on the result of the respiratory disease generation detection part. A method for detecting and identifying porcine respiratory disease through the apparatus for detecting and identifying porcine respiratory disease comprises following steps. A sound signal which is obtained in real time is received (S310). A feature vector is extracted from the sound signal (S320). The feature vector is determined whether it is sound generated from a pig having respiratory disease through one among a support vector machine (SVM) and a single class SVM (S330, S340). When the sound is generated from a pig having respiratory disease, a warning signal informing the generation of a respiratory disease is outputted (S350).COPYRIGHT KIPO 2013[Reference numerals] (AA) Start (BB) End (S310) Receive sound signal in real time (S320) Extract feature vector from the sound signal (S330) Detect respiratory disease generation through SVM/SVDD (S340) Identify type of respiratory disease through multi-Class SVM/SRC (S350) Output warning signal according to detecti
