• 제목/요약/키워드: systems tract

검색결과 108건 처리시간 0.024초

복잡한 지질구조 지역에서의 3차원 탄성파 Attribute를 이용한 층서해석 사례 (3-Dimensional Sequence Interpretation of Seismic Attributes in the Structurally Complex Area)

  • 김건득
    • 지구물리와물리탐사
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    • 제2권3호
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    • pp.149-153
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    • 1999
  • 본 연구는 한국석유공사가 셸사(화란)와 공동탐사를 하고있는 남콘손분지에 대한 3차원 탐사작업의 일환으로 실시되었으며 구조가 매우 복잡한 동지역에서의 탄성파층서 해석 사례를 소개하고자 한다. 지질구조가 복잡한 지역에서는 탄성파상이나 시퀀스 경계면 형태(lap-out pattern)가 탄성파 자료상에 잘 나타나지 않으므로 Exxon Group(Vail et at., 1977)등이 개발한 탄성파 층서 분석법의 한계점이 있다. 이러한 지역에서는 시추공의 층서분석 결과와 탄성파 Attribute 및 등층후도 등을 이용하여 탄성파 층서 분석을 실시할 수 있다. 연구결과 탄성파 Attribute는 시퀀스 및 시스템트랙면의 고퇴적 환경과 암상변화와 대비가 되며 등층후도 및 구조도를 사용하여 시스템트랙 내부의 층서변화와 대비가 가능하였다. 또한 Azimuth Attribute를 사용하여 탄화수소의 이동경로 등을 예측할 수 있었다. 이러한 층서분석 결과를 종합하여 저류암, 덮개암, 구조형성시기, 및 탄화수소의 이동경로 등에 대한 리스크를 계산하는데 이용하였다.

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청각 장애자용 발음 훈련 기기의 개발 (Speech training aids for deafs)

  • 김동준;윤태성;박상희
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.746-751
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    • 1991
  • Deafs train articulation by observing mouth of a tutor. sensing tactually the notions of the vocal organs, or using speech training aids. Present speech training aids for deafs can measure only single speech ter, or display only frequency spectra in histogrm or pseudo-color. In this study, a speech training aids that can display subject's articulation in the form of a cross section of the vocal organs and other speech parameters together in a single system Is aimed to develop and this system makes a subject to know where to correct. For our objective, first, speech production mechanism is assumed to be AR model in order to estimate articulatory notions of the vocal tract from speech signal. Next, a vocal tract profile mode using LPC analysis is made up. And using this model, articulatory notions for Korean vowels are estimated and displayed in the vocal tract profile graphics.

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기본주파수와 성도길이의 상관관계를 이용한 HTS 음성합성기에서의 목소리 변환 (Voice transformation for HTS using correlation between fundamental frequency and vocal tract length)

  • 유효근;김영관;서영주;김회린
    • 말소리와 음성과학
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    • 제9권1호
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    • pp.41-47
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    • 2017
  • The main advantage of the statistical parametric speech synthesis is its flexibility in changing voice characteristics. A personalized text-to-speech(TTS) system can be implemented by combining a speech synthesis system and a voice transformation system, and it is widely used in many application areas. It is known that the fundamental frequency and the spectral envelope of speech signal can be independently modified to convert the voice characteristics. Also it is important to maintain naturalness of the transformed speech. In this paper, a speech synthesis system based on Hidden Markov Model(HMM-based speech synthesis, HTS) using the STRAIGHT vocoder is constructed and voice transformation is conducted by modifying the fundamental frequency and spectral envelope. The fundamental frequency is transformed in a scaling method, and the spectral envelope is transformed through frequency warping method to control the speaker's vocal tract length. In particular, this study proposes a voice transformation method using the correlation between fundamental frequency and vocal tract length. Subjective evaluations were conducted to assess preference and mean opinion scores(MOS) for naturalness of synthetic speech. Experimental results showed that the proposed voice transformation method achieved higher preference than baseline systems while maintaining the naturalness of the speech quality.

성도 정규화를 이용한 감정 변화에 강인한 음성 인식 (Robust Speech Recognition using Vocal Tract Normalization for Emotional Variation)

  • 김원구;방현진
    • 한국지능시스템학회논문지
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    • 제19권6호
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    • pp.773-778
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    • 2009
  • 본 논문에서는 인간의 감정 변화에 강인한 음성 인식 시스템을 구현하기 위하여 감정 변화의 영향을 최소화 하는 방법에 관한 연구를 수행하였다. 이를 위하여 우선 다양한 감정이 포함된 음성 데이터베이스를 사용하여 감정 변화에 따른 음성 신호의 변화를 관찰하였다. 감정이 포함되지 않은 평상의 음성으로 학습된 음성 인식 시스템에 감정이 포함된 인식 데이터가 입력되는 경우 감정에 따른 음성의 차이가 인식 시스템의 성능을 저하시킨다. 본 연구에서는 감정의 변화에 따라 화자의 성도 길이가 변화한다는 것과 이러한 변화는 음성 인식 시스템의 성능을 저하시키는 원인 중의 하나임을 관찰하였다. 본 연구에서는 이러한 음성의 변화를 감소시키는 방법으로 성도 길이 정규화 방법을 사용한 감정 변화에 강인한 음성 인식 시스템을 개발하였다. HMM을 사용한 단독음 인식 실험에서 제안된 학습 방법을 사용하면 감정 데이터의 오차가 기존방법보다 41.9% 감소되었다.

Metagenomic Analysis of Chicken Gut Microbiota for Improving Metabolism and Health of Chickens - A Review

  • Choi, Ki Young;Lee, Tae Kwon;Sul, Woo Jun
    • Asian-Australasian Journal of Animal Sciences
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    • 제28권9호
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    • pp.1217-1225
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    • 2015
  • Chicken is a major food source for humans, hence it is important to understand the mechanisms involved in nutrient absorption in chicken. In the gastrointestinal tract (GIT), the microbiota plays a central role in enhancing nutrient absorption and strengthening the immune system, thereby affecting both growth and health of chicken. There is little information on the diversity and functions of chicken GIT microbiota, its impact on the host, and the interactions between the microbiota and host. Here, we review the recent metagenomic strategies to analyze the chicken GIT microbiota composition and its functions related to improving metabolism and health. We summarize methodology of metagenomics in order to obtain bacterial taxonomy and functional inferences of the GIT microbiota and suggest a set of indicator genes for monitoring and manipulating the microbiota to promote host health in future.

감정에 강인한 음성 인식을 위한 음성 파라메터 (Speech Parameters for the Robust Emotional Speech Recognition)

  • 김원구
    • 제어로봇시스템학회논문지
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    • 제16권12호
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    • pp.1137-1142
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    • 2010
  • This paper studied the speech parameters less affected by the human emotion for the development of the robust speech recognition system. For this purpose, the effect of emotion on the speech recognition system and robust speech parameters of speech recognition system were studied using speech database containing various emotions. In this study, mel-cepstral coefficient, delta-cepstral coefficient, RASTA mel-cepstral coefficient and frequency warped mel-cepstral coefficient were used as feature parameters. And CMS (Cepstral Mean Subtraction) method were used as a signal bias removal technique. Experimental results showed that the HMM based speaker independent word recognizer using vocal tract length normalized mel-cepstral coefficient, its derivatives and CMS as a signal bias removal showed the best performance of 0.78% word error rate. This corresponds to about a 50% word error reduction as compare to the performance of baseline system using mel-cepstral coefficient, its derivatives and CMS.

Recent Insights into Cellular Crosstalk in Respiratory and Gastrointestinal Mucosal Immune Systems

  • Sae-Hae Kim;Yong-Suk Jang
    • IMMUNE NETWORK
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    • 제20권6호
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    • pp.44.1-44.19
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    • 2020
  • The human body is continuously threatened by pathogens, and the immune system must maintain a balance between fighting infection and becoming over-activated. Mucosal surfaces cover several anatomically diverse organs throughout the body, such as the respiratory and gastrointestinal tracts, and are directly exposed to the external environment. Various pathogens invade the body through mucosal surfaces, making the mucosa the frontline of immune defense. The immune systems of various mucosal tissues display distinctive features that reflect the tissues' anatomical and functional characteristics. This review discusses the cellular components that constitute the respiratory and gastrointestinal tracts; in particular, it highlights the complex interactions between epithelial and immune cells to induce Ag-specific immune responses in the lung and gut. This information on mucosal immunity may facilitate understanding of the defense mechanisms against infectious agents that invade mucosal surfaces, such as severe acute respiratory syndrome coronavirus 2, and provide insight into effective vaccine development.

Changes in the Serotonin-, Somatostatin- and Motilin-Immunoreactive Cells in the Gastrointestinal Tract of the Bullfrog, Rana catesbeiana, at Various Developmental Stages

  • Hyeung-Sik Lee;Sae-Kwang Ku;Jae-Hyun Lee
    • Animal cells and systems
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    • 제3권1호
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    • pp.97-102
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    • 1999
  • In order to investigate the regional distribution and relative frequency of the serotonin-, somatostatin- and motilin-immunoreactive cells in the gastrointestinal tract GIT) of the bullfrog (Rana catesbeiana) with developmental stages, group of bullfrogs subdivided into the tadpole with hindlegs, metamorphosed bullfrog with tail, 2 wk after metamorphosed bullfrog and adult bullfrog, were stained by immunohistochemical methods (PAP methods). Multifarious changes of the regional distribution and relative frequency of the gastrointestinal endocrine cells were observed as developmental stages but motilin-immunoreactive cell ere not detected in this study. Serotonin-immunoreactive cells were detected from 2 wk after metamorphosed bullfrog in the whole GIT. The positive cells were predominant in the pylorus regions. In the adult bullfrog, these cells increased in fundus. On the other hand, somatostatin-immunoreactive cells were observed from the tadpole with hindlegs in the stomach regions. In the metamorphosed bullfrog with tail, they were found in the whole GIT except for the ileum, and increased with developmental stages except for rectum. In the rectum, these cells were not detected after that period. Our results show that most of the immunoreactive cells appear from completed metamorphosed periods when the histological structure of GIT is completely differentiated.

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Tongue Indices with Upper Respiratory Tract Infection for Application in Diagnostic Systems Without Face-to-face Visits

  • Woosu Choi;Jihye Kim;Keun Ho Kim
    • 대한의용생체공학회:의공학회지
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    • 제44권4호
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    • pp.242-254
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    • 2023
  • Although upper respiratory tract infections (URTIs) are common diseases, there have been no studies of their relationship with the indices obtained from tongue image analyses. The purpose of this study was to identify a tongue index through an analysis of tongue images (TIs) showing significant changes before and after treatment in patients with URTIs. A computerized tongue image acquisition system was developed to acquire TIs from subjects in the same environment. An image was taken from each of 39 URTI patients and 39 healthy controls. For the patients, images were acquired before and after treatment to identify changes. The tongue area was classified into a tongue body and a tongue coating, and the coating ratio between the two areas, the average value of the colour of each area, and teeth marks were calculated. No significant difference was observed in age or sex between the URTI patients and control participants. Heart rates were slightly different. The analysis of TIs showed that the luminance of the tongue coating and the coating area ratio were decreased, while the reddish value of the tongue body at the centre area increased as the treatment progressed. Tongue coating and body in URTIs had different colour and shape from those in the normal. It is expected that this result will contribute not only to the objectification of traditional Chinese medicine but also to diagnostic methods that do not involve face-to-face physician visit during the pandemic.

감정 음성 인식을 위한 강인한 음성 파라메터 (Robust Speech Parameters for the Emotional Speech Recognition)

  • 이규현;김원구
    • 한국지능시스템학회논문지
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    • 제22권6호
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    • pp.681-686
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    • 2012
  • 본 논문에서는 강인한 감정 음성 인식 시스템을 개발하기 위하여 감정의 영향을 적게 받는 음성 파라메터에 대한 연구를 수행하였다. 이러한 목적을 위하여 다양한 감정이 포함된 데이터를 사용하여 감정이 음성 인식 시스템과 음성 파라메터에 미치는 영향을 분석하였다. 본 연구에서는 멜 켑스트럼, 델타 멜 켑스트럼, RASTA 멜 켑스트럼, 루트 켑스트럼, PLP 계수와 성도 길이 정규화 방법에서 주파수 와핑된 멜 켑스트럼 계수를 사용하였다. 또한 신호 편의 제거 방법으로 CMS 방법과 SBR 방법이 사용되었다. 실험결과에서 성도정규화 방법을 사용한 RASTA 멜 켑스트럼, 델타 멜 켑스트럼 및 CMS 방법을 사용한 경우가 HMM 기반의 화자독립 단독음 인식 실험 결과에서 가장 우수한 결과를 나타내었다.