• 제목/요약/키워드: Mel

검색결과 581건 처리시간 0.023초

SK-MEL-2 세포에서 청호(靑蒿) 추출물의 Melanin 생성, Tyrosinase 활성과 생성, MMP-1 및 MMP-9 생성 억제 효과 (Inhibitory Effect of Artemisiae Annuae Herba Extracts on Melanin Synthesis, Tyrosinase Activities and Production Levels of Tyrosinase, MMP-1 and MMP-9 in SK-MEL-2 Cells)

  • 이은규;김수현;박경미;양승정;조성희
    • 대한한방부인과학회지
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    • 제30권2호
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    • pp.37-48
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    • 2017
  • Objectives: Artemisiae Annuae Herba is the dried aerial part of Artemisia annua L. (AAL). In Oriental medicine, Artemisiae Annuae Herba (AAH) is traditionally used to treat fever. AAH clears summerheat or damp-Heat, clears deficiency fevers, cools the blood and stops bleeding, stops malarial disorders and relieves heat, clears liver heat and brightens the eyes. Recently, there were many studies about effects of AAH on anti-oxidative, anti-inflammatory, anti-cancer, hair growth and plasma lipid composition. So, we expected AAH has an availability that can effect on skin whitening and elasticity. Methods: The present study was designed to investigate the effects of AAH on skin whitening and elasticity in SK-MEL-2 cells. In this experiment, the effects of AAH on proliferation rates, melanin synthesis, tyrosinase activities and production levels of tyrosinase, MMP-1 and MMP-9 in vitro were examined. Results: AAH did not affect viability of SK-MEL-2 cells and inhibited melanin synthesis induced by ${\alpha}$-Melanocyte-stimulating hormone (${\alpha}$-MSH) significantly. In addition, AAH also inhibited tyrosinase activity and lowered tyrosinase level in SK-MEL-2 cells. Finally, AAH inhibited productions of Matrix metalloproteinase-1 (MMP-1) and Matrix metalloproteinase-9 (MMP-9). Conclusions: These data suggest that AAH can be used to treat patients with skin diseases such as freckled face and also used as skin whitening agent.

한국어 숫자음 인식을 위한 이산분포 HMM과 연속분포 HMM의 성능 비교 연구 (A Comparison of Discrete and Continuous Hidden Markov Models for Korean Digit Recognition)

  • 홍형진
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 제11회 음성통신 및 신호처리 워크샵 논문집 (SCAS 11권 1호)
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    • pp.157-160
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    • 1994
  • 본 논문에서는 한국어 숫자음 인식에 대한 이산분포 HMM과 연속분포 HMM의 인식 성능을 비교하였다. 일반적으로 연속분포 HMM은 많은 계산량이 필요하고, 학습시 초기값이 매우 민감하다는 단점이 있지만, 이산분포 HMM의 VQ로 인한 왜곡을 제거함으로써 인식률을 향상시킬 수 있다. 여기서는 성능비교를 위해서 mel-cepstrum의 분석차수, 이산분포 HMM의 codebook 크기, 연속분포 HMM의 miture 개수등에 따른 인식성능을 비교하였다. 실험 결과 이산분포 HMM에서는 mel-cepstrum 벡터가 14차이고, codebook 크기가 64일 때 가장 좋은 성능을 나타냈으며, 연속부포 HMM에서는 mel-cepstrum 벡터가 16차이고 miture가 3개일 때 가장 좋은 결과를 얻을 수 있었다. 특히 학습 데이터의 양이 적은 경우에는 연속분포 HMM이 이산분포 HMM보다 더 좋은 인식률을 나타내었다.

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청각장애인을 위한 상황인지기반의 음향강화기술 (Sound Reinforcement Based on Context Awareness for Hearing Impaired)

  • 최재훈;장준혁
    • 대한전자공학회논문지SP
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    • 제48권5호
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    • pp.109-114
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    • 2011
  • 본 논문에서는 청각장애인을 위한 음향 데이터를 이용한 음향강화 알고리즘을 Gaussian Mixture Model (GMM)을 이용한 상황인지 시스템 기반으로 제안한다. 음향 신호 데이터에서 Mel-Frequency Cepstral Coefficients (MFCC) 특징벡터를 추출하여 GMM을 구성하고 이를 기반으로 상황인지 결과에 따라 위험음향일 경우 음향강화기술을 제안한다. 실험결과 제안된 상황인지 기반의 음향강화 알고리즘이 다양한 음향학적 환경에서 우수한 성능을 보인 것을 알 수 있었다.

Improvements on MFCC by Elaboration of the Filter Banks and Windows

  • Lee, Chang-Young
    • 음성과학
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    • 제14권4호
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    • pp.131-144
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    • 2007
  • In an effort to improve the performance of mel frequency cepstral coefficients (MFCC), we investigate the effects of varying the parameters for the filter banks and their associated windows on speech recognition rates. Specifically, the mel and bark scales are combined with various types of filter bank windows. Comparison and evaluation of the suggested methods are performed by two independent ways of speech recognition and the Fisher discriminant objective function. It is shown that the Hanning window based on the bark scale yields 28.1% relative performance improvements over the triangular window with the mel scale in speech recognition error rate. Further work on incorporating PCA and/or LDA would be desirable as a postprocessor to MFCC extraction.

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Parts-Based Feature Extraction of Spectrum of Speech Signal Using Non-Negative Matrix Factorization

  • Park, Jeong-Won;Kim, Chang-Keun;Lee, Kwang-Seok;Koh, Si-Young;Hur, Kang-In
    • Journal of information and communication convergence engineering
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    • 제1권4호
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    • pp.209-212
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    • 2003
  • In this paper, we proposed new speech feature parameter through parts-based feature extraction of speech spectrum using Non-Negative Matrix Factorization (NMF). NMF can effectively reduce dimension for multi-dimensional data through matrix factorization under the non-negativity constraints, and dimensionally reduced data should be presented parts-based features of input data. For speech feature extraction, we applied Mel-scaled filter bank outputs to inputs of NMF, than used outputs of NMF for inputs of speech recognizer. From recognition experiment result, we could confirm that proposed feature parameter is superior in recognition performance than mel frequency cepstral coefficient (MFCC) that is used generally.

Speech Emotion Recognition Using 2D-CNN with Mel-Frequency Cepstrum Coefficients

  • Eom, Youngsik;Bang, Junseong
    • Journal of information and communication convergence engineering
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    • 제19권3호
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    • pp.148-154
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    • 2021
  • With the advent of context-aware computing, many attempts were made to understand emotions. Among these various attempts, Speech Emotion Recognition (SER) is a method of recognizing the speaker's emotions through speech information. The SER is successful in selecting distinctive 'features' and 'classifying' them in an appropriate way. In this paper, the performances of SER using neural network models (e.g., fully connected network (FCN), convolutional neural network (CNN)) with Mel-Frequency Cepstral Coefficients (MFCC) are examined in terms of the accuracy and distribution of emotion recognition. For Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) dataset, by tuning model parameters, a two-dimensional Convolutional Neural Network (2D-CNN) model with MFCC showed the best performance with an average accuracy of 88.54% for 5 emotions, anger, happiness, calm, fear, and sadness, of men and women. In addition, by examining the distribution of emotion recognition accuracies for neural network models, the 2D-CNN with MFCC can expect an overall accuracy of 75% or more.

Induction of Apoptosis by N-phenyl-O-phenylthionocarbamate substitutes in SK-MEL-28 human skin cancer cell line

  • Choi, Su-La;Kho, Chang-Won;Shim, Joung-Hyun;Park, Byoung-Chul;Yoon, Do-Young;Sung, Nack-Do;Kim, Won-Sik;Myung, Pyung-Keun
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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    • pp.230.1-230.1
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    • 2002
  • In this study, anti-cancer effect of N-phenyl-O-phenylthionocarbamate (PPTC) substitutes was investigated. and the apoptotic mechanism by these substrates was examined on SK-MEL -28 human skin cancer cell line. SK-MEL -28 cell was treated at various concentrations for 48hr. and then MTT assay was performed to gain IC$\sub$50/ value and examine cytotoxicity of PPTC substitutes, and quantitative structure-activity relationship (QSAR) between cell and these PPTC substitutes was examined. (omitted)

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5-Fluorouracil과 그 유도체를 봉입한 Multilamellar Vesicle(MLV)과 Microemulsified Liposome(MEL)의 특성 및 약물방출 거동 (Characteristics and Drug Release Profiles of Multilamellar Vesicle(MLV) and Microemulsified Liposome(MEL) Entrapped 5-Fluorouracil and Its derivatives)

  • 지웅길;박목손;이계원;류연근
    • Journal of Pharmaceutical Investigation
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    • 제25권3호
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    • pp.249-264
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    • 1995
  • Although liposome has many advantages as a pharmaceutical dosage form, its application in the industrial field has been limited because of some problems such as preparation method, reproducibility, scale-up, stability and sterilization etc. Liposomes prepared by microemulsification method had defined size, narrow size distribution, reproducibility and high entrapment efficiency. For enhancing the stability, the dry form of liposome was recommended. These types of liposome are proliposome and freeze-dried liposome. The liposome must have some properties for preparing of freeze-dried liposome; small size $(50{\sim}200\;nm)$, narrow size distribution and cryoprotectant. In this experiment, the liposomes containing 5-Fluorouracil(5-FU) and its prodrug(pentyl-5-FU-1-acetate; PFA, hexyl-5-FU-1-acetate; HFA) were made with soybean phosphatidylcholine, cholesterol, stearylamine(SA) and dicetyl phosphate(DCP) employing hydration method or microemulsification method using $Microfluidizer^{TM}$. Both or liposome types were MLV and MEL. After preparation, freeze drying and rehydration were performed. In the process of freezing, trehalose(Tr) was added as a cryoprotectant. Their evaluation methods were as follows; entrapment efficiency, mean particle size and size distribution, dissolution test, retain of entrapment efficiency and turbidity after freeze-drying. The results are summarized as belows. The entrapment efficiency of 5-FU was dependent on total lipid concentration and cholesterol content but that of PFA and HFA was decreased when cholesterol was added. When DCP and SA were added, entrapment efficiency was decreased. As the partition coefficient of drug was increased, entrapment efficiency was increased. Under the same condition, entrapment efficiency of MEL is similar to that of MLV. The mean particle size and size distribution of MEL were smaller than those of MLV. Dissolution rates of drug from both liposome types were comparatively similar. Dissolution rates of drugs with serum and liver homogenate were faster than without these material. After preparation of liposome, free drug was removed efficiency by Dowex 50W-X4. When liposome was freeze-dried and then rehydrated in the presence of Tr, characteristics of liposome were maintained well in MEL than MLV. Tr Was used successfully as a cryoprotectant in the process of freeze drying and the optimal ratio of Tr:Lipid was 4:1(g/g).

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딥러닝 기반 한국어 실시간 TTS 기술 비교 (Comparison of Korean Real-time Text-to-Speech Technology Based on Deep Learning)

  • 권철홍
    • 문화기술의 융합
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    • 제7권1호
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    • pp.640-645
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    • 2021
  • 딥러닝 기반 종단간 TTS 시스템은 텍스트에서 스펙트로그램을 생성하는 Text2Mel 과정과 스펙트로그램에서 음성신호를 합성하는 보코더 등 두 가지 과정으로 구성되어 있다. 최근 TTS 시스템에 딥러닝 기술을 적용함에 따라 합성음의 명료도와 자연성이 사람의 발성과 유사할 정도로 향상되고 있다. 그러나 기존의 방식과 비교하여 음성을 합성하는 추론 속도가 매우 느리다는 단점을 갖고 있다. 최근 제안되고 있는 비-자기회귀 방식은 이전에 생성된 샘플에 의존하지 않고 병렬로 음성 샘플을 생성할 수 있어 음성 합성 처리 속도를 개선할 수 있다. 본 논문에서는 비-자기회귀 방식을 적용한 Text2Mel 기술인 FastSpeech, FastSpeech 2, FastPitch와, 보코더 기술인 Parallel WaveGAN, Multi-band MelGAN, WaveGlow를 소개하고, 이를 구현하여 실시간 처리 여부를 검증한다. 실험 결과 구한 RTF로 부터 제시된 방식 모두 실시간 처리가 충분히 가능함을 알 수 있다. 그리고 WaveGlow를 제외하고 학습 모델 크기가 수십에서 수백 MB 정도로, 메모리가 제한되어 있는 임베디드 환경에 적용 가능함을 알 수 있다.

토복령(土茯笭)이 피부암 세포의 성장에 미치는 영향 (Effects of Smilax China L. on the Growth of Skin Cancer Cells)

  • 송시열;정민영;최정화;박수연
    • 한방안이비인후피부과학회지
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    • 제37권1호
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    • pp.1-16
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    • 2024
  • Objectives : We aimed to study the effect of Smilax China L.(SCL), which has anti-inflammatory, antioxidant, and anticancer effects, on the growth of skin cancer cells. Methods : HaCaT cells, a normal human cell line, and skin cancer cells including A431, SK-MEL-5 and SK-MEL-28 cells were treated with Smilax China L. ethanol extract(SCL-EtOH) at concentrations of 5, 10, 20 and 40㎍/㎖. Meanwhile, JB6 Cl41, a normal mouse epithelial cell line, was treated with epidermal growth factor(EGF) and phorbol 12-myristate 13-acetate(TPA), an inflammatory factor, to induce cell transformation and treated with SCL-EtOH. In addition, we treated SK-MEL-5 and SK-MEL-28 cells with SCL-EtOH at various concentrations and checked the effect on the cell cycle. Results : As a result, it showed no toxicity to HaCaT cells up to the highest concentration of 40㎍/㎖, and significant cell growth inhibition to A431, SK-MEL-5 and SK-MEL-28 cells in a time- and concentration-dependent manner. In addition, as a result of checking the shape of skin cancer cells according to SCL-EtOH treatment, it was observed that as the concentration increased, the number of normally attached and growing cells decreased and the shape of the cells changed. Colony formation was significantly reduced in a concentration-dependent manner in JB6 Cl41 cells treated with EGF or TPA. Flow cytometry analysis with propidium iodide(PI) staining showed that SCL-EtOH induced the G2/M phase arrest. We further confirmed the decrease in Cyclin B1 expression and increase in p27 expression associated with the G2/M phase of the cell cycle through western blot analysis. Flow cytometry analysis confirmed that SCL-EtOH induced cell apoptosis. Furthermore, through Western blot analysis, it was observed that the expression of cleaved-caspase-7, which is related to apoptosis, increased. Finally, it was confirmed that the expression of COX-2, an inflammatory marker protein, decreased in a concentration-dependent manner with SCL-EtOH. Conclusions : Through the above results, we have established a basis for applying SCL to the treatment of skin cancer.