• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.7
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• pp.1307-1311
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• 2006

In this paper, we propose new speech feature parameter using the Matrix Factorization for appearance part-based features of speech spectrum. The proposed parameter represents effective dimensional reduced data from multi-dimensional feature data through matrix factorization procedure under all of the matrix elements are the non-negative constraint. Reduced feature data presents p art-based features of input data. We verify about usefulness of NMF(Non-Negative Matrix Factorization) algorithm for speech feature extraction applying feature parameter that is got using NMF in Mel-scaled filter bank output. According to recognition experiment results, we confirm that proposed feature parameter is superior to MFCC(Mel-Frequency Cepstral Coefficient) in recognition performance that is used generally.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.6061-6066
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• 2015

Methotrexate (Mtx), used for its anticancer and immunsuppresive properties, is known to be a nephrotoxic agent. We aimed to investigate the effects of lycopene (Lyc) alone or combined with melatonin (Mel) on Mtxinduced nephrotoxicity since both of these agents have antioxidant and anti-inflammatory effects. Nephrotoxicity was induced by intraperitoneal administration of methotrexate at a dose of 20 mg/kg. Treatment both with Lyc alone and Lyc combined with Mel provided significant reduction in tumor necrosis factor-alpha, interleukin 1-beta and ceruloplasmin levels in Mtx administered rats. Hovewer, Lyc combined with Mel provided a significant reduction also in NO levels. Hstopathological examination showed that there was an obvious improvement in the degenerative changes compared to Mtx administrated group with the Lyc combined Mel group giving best protection. In conclusion Lyc alone and combined with Mel provided significant improvement against renal damage caused by Mtx, preseumably via antioxidant and anti-inflammatory activities.

• Asia Marketing Journal
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• v.8 no.3
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• pp.141-159
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• 2006

On November 16th 2004, SK Telecom Co., Ltd. launched 'MelOn' , an ubiquitous music service, into the first time in the world. It, new business model in Korea, was a great success in domestic music industry. Its key success factors are not only differential features of service but also the superiority of technical know-how, customer-oriented spirit, and marketing mix activities compared to many competitors. The case shows how MelOn developed and then introduces what on-line music service is identifying the key success factors and presenting visible outcomes. Furthermore discussing its business implications and future challenges.

• Journal of Information Technology Applications and Management
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• v.30 no.5
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• pp.1-19
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• 2023

This study examines Korean users' attitudes and emotions toward Melon and Spotify, which lead the music streaming market. We used Text Mining, Semantic Network Analysis, TF-IDF, Centrality, CONCOR, and Word2Vec analysis. As a result of the study, MelOn was used in a user's daily life. Based on Melon's advantages of providing various contents, the advantage is judged to have considerable competitiveness beyond the limits of the streaming app. However, the MelOn users had negative emotions such as anger, repulsion, and pressure. On the contrary, in the case of Spotify, users were highly interested in the music content. In particular, interest in foreign music was high, and users were also interested in stock investment. In addition, positive emotions such as interest and pleasure were higher than MelOn users, which could be interpreted as providing attractive services to Korean users. While previous studies have mainly focused on technical or personal factors, this study focuses on consumer reactions (online reviews) according to corporate strategies, and this point is the differentiation from others.

• ETRI Journal
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• v.18 no.1
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• pp.29-41
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• 1996

This paper describes a method to select a suitable feature for speech recognition using information theoretic measure. Conventional speech recognition systems heuristically choose a portion of frequency components, cepstrum, mel-cepstrum, energy, and their time differences of speech waveforms as their speech features. However, these systems never have good performance if the selected features are not suitable for speech recognition. Since the recognition rate is the only performance measure of speech recognition system, it is hard to judge how suitable the selected feature is. To solve this problem, it is essential to analyze the feature itself, and measure how good the feature itself is. Good speech features should contain all of the class-related information and as small amount of the class-irrelevant variation as possible. In this paper, we suggest a method to measure the class-related information and the amount of the class-irrelevant variation based on the Shannon's information theory. Using this method, we compare the mel-scaled FFT, cepstrum, mel-cepstrum, and wavelet features of the TIMIT speech data. The result shows that, among these features, the mel-scaled FFT is the best feature for speech recognition based on the proposed measure.

• BMB Reports
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• v.31 no.4
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• pp.339-344
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• 1998

The plant flavonoids, including apigenin which is found in especially high concentrations in edible plants, are reported to protect against chronic diseases including several types of cancer. We observed that apigenin inhibited not only the growth of human melanoma cell line SK-MEL 28 but also the telomerase activity. We also noted the telomerase activity inhibition by genistein, a tyrosine kinase inhibitor found in soybean, which suggests that the telomerase activity of SK-MEL 28 cells may be regulated by the protein phosphorylation. Furthermore, we observed that apigenin induced SK-MEL 28 cell apoptosis with p53 upregulation. Taken together, our results indicate that apigenin plays a role as an antimelanoma component in edible plants.

• Toxicological Research
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• v.19 no.2
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• pp.147-152
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• 2003

We investigated antitumor activities of the ethanol extract from mushroom Phellinus linteus and Phellinus baumii on mulberry, oak and elm. in vitro test, the ethanol extract of mushroom cultivated on oak of Phellinus linteus showed highest activities about SK-OV-3, HCT15, XF498, SK-MEL-2 and A549. SK-OV-3 cell line showed 100% cytotoxicity in 100 $\mu\textrm{g}$/ml and HCT15 (98.39%), XF498 (89.62%), SK-MEL-2 (84.07%) and A549 (79.92%) cytotoxicity respectively. Also $IC_{50}$ showed 3.99 $\mu\textrm{g}$/ml to SK-OV-3 cell line and HCT15 (4.37 $\mu\textrm{g}$/ml), A549 (5.48 $\mu\textrm{g}$/ml), SK-MEL-2 (6.72 $\mu\textrm{g}$/ml), XF 498 (6.88 $\mu\textrm{g}$/ml). As those results, cultivated oak of Phellinus linteus showed a very low $IC_{50}$ value against SK-OV-3, HCT15, XF498, SK-MEL-2 and A549 cancer cell lines.

• KSBB Journal
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• v.13 no.6
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• pp.718-723
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• 1998

The effect of glycyrrhizin on melanoma cells was investigated. DNA fragmentation in cultured melanoma cells was promoted by the addition of glycyrrhizin in a dose dependent manner. Administration(i.m.) of glycyrrhizin to Mel/ret transgenic mice resulted in apoptosis induction, reduction of mitochondrial transmembrane potential in melanoma cells. Decreased B220+ B cells were recovered by the treatment of glycyrrhizin in splenocytes and mesenteric lymph node cells, while Thy-1+ T cells were not influenced. Results suggested that glycyrrhizin acted as an inducer of apoptosis of melanoma cells and an immuno-potentiator via recovered B lymphocyte population in Mel/ret transgenic mice.

• Speech Sciences
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• v.2
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• pp.57-66
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• 1997

This paper studies the effects of the method, CMS(Cepstral Mean Subtraction), (which compensates for some of the speech distortion. caused by telephone channels), on the performance of the text-dependent speaker identification system. This system is based on the VQ(Vector Quantization) and HMM(Hidden Markov Model) method and chooses the LPC-Cepstrum and Mel-Cepstrum as the feature vectors extracted from the speech data transmitted through telephone channels. Accordingly, we can compare the correct recognition rates of the speaker identification system between the use of LPC-Cepstrum and Mel-Cepstrum. Finally, from the experiment results table, it is found that the Mel-Cepstrum parameter is proven to be superior to the LPC-Cepstrum and that recognition performance improves by about 10% when compensating for telephone channel using the CMS.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.148-152
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• 2001

본 논문에서는 중대사고 해석코드인 MELCOR를 이용하여 개발중인 중대사고 훈련용 그래픽 시뮬레이터 MEL-GRS에 대하여 기술하였다. MEL-GRS는 SL-GMS 그래픽 튤과 MELCOR 계산 결과를 적절히 사용하여 중대사고 현상을 실시간으로 디스플레이하는 목적으로 개발되었는데, 기존의 MELCOR 코드에서 불가능했던 다이내믹 시뮬레이션 기능을 가지고 있어 실시간 밸브 및 펌프 조작이 가능하다. 개발된 시스템은 IBM PS Windows 환경에서 작동하며, 울진 3, 4호기를 대상으로 한 TLOFW, LOCA등의 중대사고 시나리오를 사용하여 그 성능을 검증하였다. 개발된 시스템은 차후 발전소 현장의 설치 및 검증을 거쳐 운전원 및 TSC 요원의 중대사고 훈련도구로 활용한 계획이다.