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자동차 환경에서 Oak DSP 코어 기반 음성 인식 시스템 실시간 구현
우경호,양태영,이충용,윤대희,차일환 한국음성과학회 1999 음성과학 Vol.6 No.1
This paper presents a real-time implementation of a speaker independent speech recognition system based on discrete hidden markov model(DHMM0). This system is developed for a car navigation system to design on-chip VLSI system of speech recognition which is used by fixed point Oak DSP core of DSP GROUP LTD. We analyze recognition procedure with C language to implement fixed point real-time algorithms. Based on the analyses, we improve the algorithms which are possible to operate in real-time, and can verity the recognition result at the same time as speech ends, by processing all recognition routines within a frame. A car noise is the colored noise concentrated haavily on the low frequency segment under 400 Hz. For the noise robust processing, the high pass filtering and the liftering on the distance measure of feature vectors are applied to the recognition system. Recognition experiments on the twelve isolated command words were performed. The recognition rates of the baseline recognizer were 98.68 % in a stopping situation and 80.7 % in a running situation. Using the noise processing methods, the recognition rates were enhanced to 89.04% in running situation. Keyword : speech recognition, real-time implementation, fixed point Oak DSP
Complete genome sequence of uropathogenic Escherichia coli isolate UPEC 26-1
Bindu Subhadra,김동호,김재석,우경호,손경목,김화중,한규동,오만환,최철희 한국유전학회 2018 Genes & Genomics Vol.40 No.6
Urinary tract infections (UTIs) are among the most common infections in humans, predominantly caused by uropathogenic Escherichia coli (UPEC). The diverse genomes of UPEC strains mostly impede disease prevention and control measures. In this study, we comparatively analyzed the whole genome sequence of a highly virulent UPEC strain, namely UPEC 26-1, which was isolated from urine sample of a patient suffering from UTI in Korea. Whole genome analysis showed that the genome consists of one circular chromosome of 5,329,753 bp, comprising 5064 protein-coding genes, 122 RNA genes (94 tRNA, 22 rRNA and 6 ncRNA genes), and 100 pseudogenes, with an average G+C content of 50.56%. In addition, we identified 8 prophage regions comprising 5 intact, 2 incomplete and 1 questionable ones and 63 genomic islands, suggesting the possibility of horizontal gene transfer in this strain. Comparative genome analysis of UPEC 26-1 with the UPEC strain CFT073 revealed an average nucleotide identity of 99.7%. The genome comparison with CFT073 provides major differences in the genome of UPEC 26-1 that would explain its increased virulence and biofilm formation. Nineteen of the total GIs were unique to UPEC 26-1 compared to CFT073 and nine of them harbored unique genes that are involved in virulence, multidrug resistance, biofilm formation and bacterial pathogenesis. The data from this study will assist in future studies of UPEC strains to develop effective control measures.
김동호,Bindu Subhadra,강희영,우경호,김재석,손여진,손경목,김화중,한규동,오만환,최철희 한국유전학회 2018 Genes & Genomics Vol.40 No.6
Urinary tract infections (UTIs) are one of the most common types of bacterial infection in humans in various parts of the world and are caused mainly by uropathogenic Escherichia coli (UPEC). A total of 58 UPEC isolates from urine were characterized by serotyping and pulsed-field gel electrophoresis (PFGE). The majority of the UPEC strains belonged to serogroups O2 and O6. The UPEC strains were grouped under different pulsotypes and majority of them belonged to serogroups O2 and O6. Among the 14 virulence factors considered, 13 were present in various serogroups. The virulence genes fimH and sfa were present in all the isolates while none of the isolates carried lt-1. The strains exhibited 36 different virulence patterns, of which 11, referred to as UP (UPEC pattern) 1 to UP 11 were most common. Antibiotic resistance profiling of the UPEC isolates revealed that the serogroups O2 and O6 contain the highest number of resistant strains. The data from the current study depicting the distribution of UPEC strains among various serogroups and pulsotypes, and the occurrence of virulence genes and antibiotics resistance offer useful information on the epidemiological features of UPEC in Korea for the enhanced surveillance of potential emergence of UPEC.