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쇼핑몰 회원 관리를 위한 효율적인 개인정보관리 시스템의 구현
이광형,Lee, Kwang-Hyung 한국컴퓨터교육학회 2002 컴퓨터교육학회 논문지 Vol.5 No.3
인터넷에 존재하는 많은 전자상거래 사이트의 데이터베이스에 중복적으로 저장되어 있는 개인정보의 무결성을 유지하며, 사용자의 불편함을 줄이고, 각 사이트의 독립된 S/W를 충족시킬 수 있는 통합형 데이터베이스 개발은 매우 중요하다고 할 수 있다. 이에 본 논문에서는 이기종 분산 데이터베이스로 구성된 각 사이트의 회원관리 시스템이 가지고 있는 단점을 살펴보고, 효율적인 회원 관리를 할 수 있는 개인정보관리 시스템 모델을 설계하였으며, 이를 이용하여 IPIMS라는 통합된 개인정보 관리 시스템을 구현하였다. It is important to maintain the integrity of the personal information stored duplicately in DBs on the internet sites and to reduce the inconvenience of the user's. So it is useful to develop the integrated-DB supporting the independence of the S/W. In this paper, we investigate the defect of the membership management system on the internet site. Based on the result, we model the personal information management system to manage the membership efficiently, and implement the integrated personal information management system, called IPIMS.
A study on Fuzzy Vector Quantizer Mapping in Speech Synthesis for Speaker Adaptation
이광형,Lee, Jin Yi,You, Jae Tack 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
In this paper, we propose a speaker-adaptive speech synthesis method using a mapped codebook designed by fuzzy mapping Competitive learning neural networks are used to design both input speaker's and reference speaker's codebook. We used a fuzzy VQ mapping to design the mapped codebook. The fuzzy VQ mapping replaces a codevector preserving its fuzzy membership function. The codevector correspondence histogram rs obtained from accumulating Use vector correspondence along Use DTW optimal path. Using each histogram as a weighting function, the mapped codebook is defined as a linear combination of the reference speaker's vectors. Speech synthesis is performed as follows. input speaker's speech is fuzzy vector quantized by the mapped codebook, and then FCM arithmetic is used to synthesize the speech adapted to input speaker. The speaker adaption experiments are carried out using speech of male in his thirties, speech of a male in his twenties, and speech of a female in her twenties, as input speaker's speech, and speech of a other female in her twenties, as reference speaker's speech. Speech used in experiments are sentences / anyoung hasim nika / and / good morning / As a results of experiments, we have listened a synthesized speech adapted to input speaker.
A Study on the Speech Recognition using Pitch Synchronous LPC Cepstrum-VQ and HMM
이광형,고남곤,Lee, Jin Yi,Kim, Hyung Seuk 대한전자공학회 1994 ISPACS:Intelligent Signal Processing and Communica Vol.1 No.1
In this paper we propose a phoneme recognition model of the Korean speech by using the pitch synchronous LPC cepstrum-VQ and FIMM. The LPC cepstrum coefficient have been obtained by synchronizing the analysis frame per a pitch. The pitch synchronization method reduces the analysis trine and the effect of the pitch pulses. The LPC cepstrum of the Input speedy signal is vector quantized by using the reference codebook of the LPC cepstrum coefficient. This codebook has already been designed with the FCM clustering algorithm. The LPC cepstrum codevector's address in codbook is applied to the f IMM algorithm, and then recognized phoneme by phoneme. As the speech signal vary slowly with tune, the HMM technique is, in general, effective in it modeling in time. The performance evaluation of, the proposed method has been done for both inside training data and outside training data. As the simulation results, it can be shown that the proposed recognition method has improved about 3(%) in recognition ratio than the pitch asynchronous method.