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Search results for: Mincheol Whang
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style="font-size:1.6rem;">Search results for: Mincheol Whang</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Identification of Arousal and Relaxation by using SVM-Based Fusion of PPG Features</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Chi%20Jung%20Kim">Chi Jung Kim</a>, <a href="https://publications.waset.org/search?q=Mincheol%20Whang"> Mincheol Whang</a>, <a href="https://publications.waset.org/search?q=Eui%20Chul%20Lee"> Eui Chul Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we propose a new method to distinguish between arousal and relaxation states by using multiple features acquired from a photoplethysmogram (PPG) and support vector machine (SVM). To induce arousal and relaxation states in subjects, 2 kinds of sound stimuli are used, and their corresponding biosignals are obtained using the PPG sensor. Two features鈥損ulse to pulse interval (PPI) and pulse amplitude (PA)鈥揳re extracted from acquired PPG data, and a nonlinear classification between arousal and relaxation is performed using SVM. This methodology has several advantages when compared with previous similar studies. Firstly, we extracted 2 separate features from PPG, i.e., PPI and PA. Secondly, in order to improve the classification accuracy, SVM-based nonlinear classification was performed. Thirdly, to solve classification problems caused by generalized features of whole subjects, we defined each threshold according to individual features. Experimental results showed that the average classification accuracy was 74.67%. Also, the proposed method showed the better identification performance than the single feature based methods. From this result, we confirmed that arousal and relaxation can be classified using SVM and PPG features. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Support%20Vector%20Machine" title="Support Vector Machine">Support Vector Machine</a>, <a href="https://publications.waset.org/search?q=PPG" title=" PPG"> PPG</a>, <a href="https://publications.waset.org/search?q=Emotion%20Recognition" title=" Emotion Recognition"> Emotion Recognition</a>, <a href="https://publications.waset.org/search?q=Arousal" title=" Arousal"> Arousal</a>, <a href="https://publications.waset.org/search?q=Relaxation" title=" Relaxation"> Relaxation</a> </p> <a href="https://publications.waset.org/10837/identification-of-arousal-and-relaxation-by-using-svm-based-fusion-of-ppg-features" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/10837/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/10837/bibtex" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">BibTeX</a> <a href="https://publications.waset.org/10837/chicago" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Chicago</a> <a href="https://publications.waset.org/10837/endnote" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">EndNote</a> <a href="https://publications.waset.org/10837/harvard" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">Harvard</a> <a href="https://publications.waset.org/10837/json" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">JSON</a> <a href="https://publications.waset.org/10837/mla" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">MLA</a> <a href="https://publications.waset.org/10837/ris" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">RIS</a> <a href="https://publications.waset.org/10837/xml" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">XML</a> <a href="https://publications.waset.org/10837/iso690" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">ISO 690</a> <a href="https://publications.waset.org/10837.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">2484</span> </span> </div> </div> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Transcriptional Evidence for the Involvement of MyD88 in Flagellin Recognition: Genomic Identification of Rock Bream MyD88 and Comparative Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=N.%20Umasuthan">N. Umasuthan</a>, <a href="https://publications.waset.org/search?q=S.%20D.%20N.%20K.%20Bathige"> S. D. N. K. Bathige</a>, <a href="https://publications.waset.org/search?q=W.%20S.%20Thulasitha"> W. S. Thulasitha</a>, <a href="https://publications.waset.org/search?q=I.%20Whang"> I. Whang</a>, <a href="https://publications.waset.org/search?q=J.%20Lee"> J. Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>The MyD88 is an evolutionarily conserved host-expressed adaptor protein that is essential for proper TLR/ IL1R immune-response signaling. A previously identified complete cDNA (1626 bp) of <em>OfMyD88</em> comprised an ORF of 867 bp encoding a protein of 288 amino acids (32.9 kDa). The gDNA (3761 bp) of <em>OfMyD88</em> revealed a quinquepartite genome organization composed of 5 exons (with the sizes of 310, 132, 178, 92 and 155 bp) separated by 4 introns. All the introns displayed splice signals consistent with the consensus GT/AG rule. A bipartite domain structure with two domains namely death domain (24-103) coded by 1<sup>st</sup> exon, and TIR domain (151-288) coded by last 3 exons were identified through <em>in silico</em> analysis. Moreover, homology modeling of these two domains revealed a similar quaternary folding nature between human and rock bream homologs. A comprehensive comparison of vertebrate <em>MyD88</em> genes showed that they possess a 5-exonic structure.In this structure, the last three exons were strongly conserved, and this suggests that a rigid structure has been maintained during vertebrate evolution.A cluster of TATA box-like sequences were found 0.25 kb upstream of cDNA starting position. In addition, putative 5'-flanking region of <em>OfMyD88</em> was predicted to have TFBS implicated with TLR signaling, including copies of NFkB1, APRF/ STAT3, Sp1, IRF1 and 2 and Stat1/2. Using qPCR technique, a ubiquitous mRNA expression was detected in liver and blood. Furthermore, a significantly up-regulated transcriptional expression of <em>OfMyD88</em> was detected in head kidney (12-24 h; >2-fold), spleen (6 h; 1.5-fold), liver (3 h; 1.9-fold) and intestine (24 h; ~2-fold) post-Fla challenge. These data suggest a crucial role for MyD88 in antibacterial immunity of teleosts.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=MyD88" title="MyD88">MyD88</a>, <a href="https://publications.waset.org/search?q=Innate%20immunity" title=" Innate immunity"> Innate immunity</a>, <a href="https://publications.waset.org/search?q=Flagellin" title=" Flagellin"> Flagellin</a>, <a href="https://publications.waset.org/search?q=Genomic%20analysis." title=" Genomic analysis."> Genomic analysis.</a> </p> <a href="https://publications.waset.org/9998401/transcriptional-evidence-for-the-involvement-of-myd88-in-flagellin-recognition-genomic-identification-of-rock-bream-myd88-and-comparative-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/9998401/apa" target="_blank" rel="nofollow" class="btn btn-primary btn-sm">APA</a> <a href="https://publications.waset.org/9998401/bibtex" target="_blank" rel="nofollow" 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