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The Neural-Network Approach to Recognize Defect Pattern in LED Manufacturing
Chen, Wen-Chin,Tsai, Chih-Hung,Hsu, Shou-Wen The Korean Society for Quality Management 2006 The Asian Journal on Quality Vol.7 No.3
This paper presents neural network-based recognition system for automatic light emitting diode (LED) inspection. The back-propagation neural network (BPNN) is proposed and tested. The current-voltage (I-V) characteristic data of LED from the inspection process is used for the network training and testing. This study selects 300 random samples as network training and employs 100 samples as network testing. The experimental results show that if the classification work is done well, the accuracy of recognition is 100%, and the testing speed of the proposed recognition system is almost one half faster than the traditional inspection system does. The proposed neural-network approach is successfully demonstrated by real data sets and can be effectively developed as a recognition system for a practical application purpose.
The seasonal detection of AcSBV (Apis cerana sacbrood virus) prevalence in Taiwan
Yu-Shin Nai,Chong-Yu Ko,Pei-Shou Hsu,Wen-Shi Tsai,Yue-Wen Chen,Meng-Hao Hsu,I-Hsin Sung 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1
The epizootic disease caused by Apis cerana sacbrood virus (AcSBV) occurred in Eastern hive bee, A. cerana, since2015 in Taiwan. A large-scale survey of this disease from September and December 2016 in Taiwan was performedincluding symptom check and molecular identification in honey bees of A. cerana hives and several A. mellifera hives, which were co-cultured with A. cerana. Based on the nucleotide sequences of partial VP1, thephylogenetic analysis with those of the known AcSBV isolates revealed that most of AcSBV isolates from Taiwanwere closely relative to SBV-FZ and -JL isolates from China, whereas only one sample (N15-5-1) was in a distinctcluster, which was closely relative to SBV-LN from China too. The AcSBV prevalence was occurring in A. ceranahives in most areas of Taiwan except for those in Hualien and Pingtung Counties in Taiwan. Notably, the AcSBVprevalence rate showed the temporal increase from 47.1% to 69.6% within 4 months. In addition, 37.5% ofAcSBV prevalence rate was found in A. mellifera hives. It showed that A. mellifera was also susceptible to AcSBVinfection. The present results would provide the information on the epidemiology and for prospective research.