12 research outputs found

    HymnTron: A DNN Based Automatic Music Composer

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ˆ˜๋ฆฌ๊ณผํ•™๋ถ€, 2019. 2. ๊ฐ•๋ช…์ฃผ.์ตœ๊ทผ์˜ ๊ฐœ๋ฐœ๋กœ ์ธํ•ด, ๋”ฅ ๋‰ด๋Ÿด ๋„คํŠธ์›Œํฌ (Deep Neural Networks)๋ฅผ ์‚ฌ์šฉํ•˜๊ธฐ์œ„ํ•œ ๋งŽ์€ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ์กด์žฌํ•œ๋‹ค. ๊ทธ ์ค‘ ํ•˜๋‚˜๋Š” ์Œ์•… ์ž‘๊ณก์ด๋‹ค. ์ด ๋…ผ๋ฌธ์—์„œ ์šฐ๋ฆฌ๋Š” ์ธ๊ฐ„ ์ž‘๊ณก๊ณผ ๊ตฌ๋ณ„ ํ•  ์ˆ˜์—†๋Š” ์Œ์•…์„ ์ž‘๊ณกํ•˜๋ ค๊ณ  ์‹œ๋„ํ•œ๋‹ค. ์‹œ๋“œ ๋…ธํŠธ๋กœ ์ž‘๊ณก์„ ์‹œ์ž‘ํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ LSTM์„ ์‚ฌ์šฉํ•˜์—ฌ ์ฃผ์–ด์ง„ ์‹œ๋“œ ๋…ธํŠธ์™€ ์ฝ”๋“œ ์ง„ํ–‰์—์„œ ์ˆ˜๋งŽ์€ ๋ฉœ๋กœ๋””๋ฅผ ์ž‘๊ณกํ•œ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์šฐ๋ฆฌ๋Š” ๋น” ๊ฒ€์ƒ‰ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ†ตํ•ด ์›ํ•˜๋Š” ์ˆ˜์˜ ์ปดํฌ์ง€์…˜ ๋งŒ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์–‘ํ•œ ์Šค์ฝ”์–ด๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜ ํ•จ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•œ๋‹ค. ์ธ๊ฐ„ ์กฐ์‚ฌ๋Š” ํ’ˆ์งˆ ํ…Œ์ŠคํŠธ๋ฅผ ์œ„ํ•ด ์ˆ˜ํ–‰๋œ๋‹ค.With recent developments, there are many different applications for the use of Deep Neural Networks. One of which is music composition. In this thesis, we attempt to compose music that is indistinguishable from human composition. We initialize the composition with a seed note. Next, we utilize the long-short term memory network to compose numerous melodies from the given seed note and the chord progression. Finally, we use a variety of scoring functions to keep only a desired number of compositions through the beam search algorithm. Human survey is conducted for quality testing.Contents Abstract i 1 Introduction 1 2 Data Processing 3 2.1 Transformation . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 Quantization . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2.3 Renement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.4 Encoding . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 3 Model Descriptions 7 3.1 Melody Sequential Model . . . . . . . . . . . . . . . . . . . . . 7 3.1.1 Model Architecture . . . . . . . . . . . . . . . . . . . . 7 3.1.2 Loss . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 4 Generation 10 4.1 Beam Search . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 4.2 Temperature . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.3 Scoring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.4 Constraints . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 5 Experiments 15 5.1 Experiment Premises . . . . . . . . . . . . . . . . . . . . . . . 15 5.2 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 6 Conclusion 17 The bibliography 19 Abstract (in Korean) 20Maste

    ๋ชจ๋ธ ๋ณ€ํ™˜ ์˜คํผ๋ ˆ์ดํ„ฐ๋“ค์„ ์ด์šฉํ•œ ์„ค๊ณ„ ๋ชจ๋ธ ๋ณ€ํ™”์™€ ๋””์ž์ธ ํŒจํ„ด์˜ ์ ์šฉ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ „๊ธฐยท์ปดํ“จํ„ฐ๊ณตํ•™๋ถ€,2003.Maste

    Fusarium graminearum virus1์— ๊ฐ์—ผ๋œ ๋ถ‰์€ ๊ณฐํŒก์ด์—์„œ ๋ฐœํ˜„๋Ÿ‰์ด ์ฆ๊ฐ€ํ•˜๋Š” ์œ ์ „์ž๋“ค์— ๊ด€ํ•œ ๊ธฐ๋Šฅ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์ƒ๋ช…๊ณตํ•™๋ถ€, 2015. 2. ๊น€๊ตญํ˜•.Fusarium graminearum virus 1(FgV1) is a mycovirus that isolated from Fusarium boothii. It has 6.6kb double stranded RNA as a genome, including putative four open reading frames. Along with FgV1, three other mycoviruses have been reported including FgV2, FgV3, and FgV4. Among four reported viruses, FgV1 and FgV2 infection shows hypovirulence such as a reduction in growth rate, conidiation, and virulence to their host fungi. But infection with the other two viruses, FgV3 and FgV4,makes no dramatic morphological change. Based upon RNA-sequence analyses of the host transcriptome upon combination of those four mycovirus infection, ten genes that might have relationship with mycovirus infection and/or defense responses of the host fungi are selected. These genes were assorted into four groups depending on their changes of expression level upon virus infection. To investigatepossible functional roles of these genes involved inrelationship between host fungi and virus, targetgene deletion mutants were generated. FgV1 infected deletion mutants were constructed using hyphal fusion mediated mycovirus transmission. While deletion mutants did not show significant alterationin colony morphology and radial growth on solid comparing with wild-type strain, viral RNA accumulations in fgsg_05076 and fgsg_10551 deletion mutantswere decreased comparing with those of virus infected wild-type strain. This study can provide experimental support for RNA-sequence analysis and investigation of individual gene functions which related to FgV1 accumulation in host fungi, F. graminearum.ABSTRACTโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ5 CONTENTSโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ7 LIST OF TABLESโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 9 LIST OF FIGURESโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.. 10 I.INTRODUCTIONโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 11 II. MATERIALS AND METHODSโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ15 1. Fungal strains and culture conditionโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.. 15 2. Computational analysisโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ15 3. Construction of target gene deletion and complementation mutantsโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 15 4. Fungal transformationโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 18 5. Genomic DNA extractionโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.. 19 6. Southern blot hybridization โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 19 7. Total RNA extractionโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.... 20 8. Semi quantitative RT-PCR.โ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.. 20 III. RESULTSโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 27 1. Selection of target gene.....................................................................โ€ฆโ€ฆโ€ฆโ€ฆ27 2. Prediction of gene function using blast toolsโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 27 3. Generation of gene deletion mutantsโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ 28 4. Generation of complementation mutantsโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 28 5. Colony morphology testโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 35 6. Vegetative growth of deletion mutantsโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ.. 35 7. Quantification of FgV1 viral RNA accumulation using semi-quantitative RT-PCRโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ .40 IV.DISCUSSIONโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 42 V.LITERATURE CITEDโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 47 VI. ABSTRACT IN KOREANโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆโ€ฆ. 53Maste

    ํ•œ๊ตญ์ธ ์œ ์ „์ฒด ๋ณ€์ด ํ‘œ์ค€ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค (KOVA) ๊ตฌ์ถ•

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ž์—ฐ๊ณผํ•™๋Œ€ํ•™ ์ƒ๋ช…๊ณผํ•™๋ถ€, 2018. 8. ๋ฐฑ๋Œ€ํ˜„.Previous efforts in identifying and understanding human genome variations have been systematically preferred towards the populations of Caucasian descendants and have resulted in loss of accuracy and detection power when analyzing genome variations in non-Caucasian populations. To improve accuracy and precision in studying genome variations in the Korean population, we have compiled and curated a large-scale database of coding variants from 1,055 healthy Korean samples. These samples were sequenced to an average depth of 75x with 101 singleton variants per individual. Through analysis of our healthy Korean cohort, we found distinct ethnic group characteristics comparable to that of other ethnic groups in Africa and Europe, indicating that the Korean population are a discrete ethnic group that can benefit from an independent reference database. Through population genetics analyses, we found that our Korean Variant Archive (KOVA) increased variant filtering power when examining Korean exomes in concert with Exome Aggregation Consortium. Interestingly, we provide a cohort of potential germline variants that may be associated with susceptibility to tumorigenesis. These rare germline variants were validated using independent datasets from The Cancer Genome Atlas and 1000 Genome Project. To our knowledge, KOVA represents the first database curated using high quality whole exome sequencing-based variants specifically from Korean individuals that can serve as a valuable resource for future studies in the study of human genome variations in the Korean population.ABSTRACT i CONTENTS iii INTRODUCTION 1 RESULTS 4 Sample preparation, variant calling, and quality control 4 KOVA population genetics and basic statistics 5 Functional analysis of coding variants 7 Potential role of rare germline variants on tumor susceptibility 8 DISCUSSION 11 METHODS 14 FIGURES AND TABLES 19 Figure 1 19 Figure 2 20 Figure 3 21 Figure 4 22 Figure 5 23 Table 1 24 Table 2 25 Table 3 26 Table 4 27 REFERENCES 28 APPENDIX 30 ๊ตญ๋ฌธ ์ดˆ๋ก 43Maste

    Mobile multispectral imaging device, user mobile device connection, image analysis software in a connected server for skin healthcare

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    ํ”ผ๋ถ€ ํ—ฌ์Šค์ผ€์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฐ”์ผ ๋‹ค์ค‘ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๊ฐ€ ์ œ๊ณต๋œ๋‹ค. ๋ณธ ๋ฐœ๋ช…์˜ ์‹ค์‹œ์˜ˆ์— ๋”ฐ๋ฅธ ํ”ผ๋ถ€ ํ—ฌ์Šค์ผ€์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฐ”์ผ ๋‹ค์ค‘ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์ด ์žฅ์ฐฉ๋˜๊ณ , ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ๊ด‘์› ๋ฐ ์ดฌ์˜๋ถ€๋ฅผ ์ด์šฉํ•˜์—ฌ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋ฅผ ์ดฌ์˜ํ•œ๋‹ค. ์ด๋Ÿฌํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์ด ์žฅ์ฐฉ๋˜๋Š” ๋ณธ์ฒด, ๋ณธ์ฒด์— ์žฅ์ฐฉ๋œ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ๊ด‘์› ๋ฐ ์ดฌ์˜๋ถ€์— ๋Œ€์‘ํ•˜๋Š” ์œ„์น˜์— ๋ฐฐ์น˜๋˜๋ฉฐ, ๊ด‘์›์„ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ ์กฐ์‚ฌํ•˜๊ณ , ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„, ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๋ฅผ ํฌํ•จํ•˜๊ณ , ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜ ์š”์ฒญ์— ๋”ฐ๋ผ ํ•˜๋‚˜์˜ ์„ ํƒ๋œ ๊ด‘์› ํ•„ํ„ฐ๊ฐ€ ๊ด‘์›๊ณผ ์ผ์ง์„  ์ƒ์— ๋ฐฐ์น˜๋˜๋„๋ก ํšŒ์ „๊ฐ€๋Šฅํ•œ ํ•„ํ„ฐ ํœ , ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ์˜ ์ดฌ์˜ ์š”์ฒญ์— ๋”ฐ๋ผ ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ์˜ ๊ฐ๊ฐ์ด ๊ด‘์›๊ณผ ์ผ์ง์„  ์ƒ์— ์œ„์น˜๋˜๋„๋ก ์ดฌ์˜๋ถ€์˜ ์ดฌ์˜ ์†๋„์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ํ•„ํ„ฐ ํœ ์„ ์—ฐ์†์ ์œผ๋กœ ํšŒ์ „์‹œํ‚ค๋Š” ๊ตฌ๋™ ๋ชจํ„ฐ, ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ ์ดฌ์˜ ์š”์ฒญ์„ ์ˆ˜์‹ ํ•˜๋„๋ก ํ†ต์‹ ํ•˜๋Š” ํ†ต์‹ ๋ถ€, ๋ฐ ๊ด‘ํ•™๊ณ„์— ๋Œ€์‘ํ•˜๋Š” ์œ„์น˜์— ๊ด€ํ†ต๊ตฌ๋ฅผ ๊ตฌ๋น„ํ•œ ๋ฎ๊ฐœ๋ถ€๋ฅผ ํฌํ•จํ•œ๋‹ค.์‚ฌ์šฉ์ž ๋‹จ๋ง์ด ์žฅ์ฐฉ๋˜๊ณ , ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜๋ถ€๋ฅผ ์ด์šฉํ•˜์—ฌ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋ฅผ ์ดฌ์˜ํ•˜๋Š” ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๋กœ์„œ,์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์ด ์žฅ์ฐฉ๋˜๋Š” ๋ณธ์ฒด;์†Œ์ •์˜ ๊ด‘์› ๋ฐ ์ƒ๊ธฐ ์ดฌ์˜๋ถ€์— ๋Œ€์‘ํ•˜๋Š” ์œ„์น˜์— ๋ฐฐ์น˜๋˜๋ฉฐ, ์ƒ๊ธฐ ๊ด‘์›์„ ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ ์กฐ์‚ฌํ•˜๊ณ , ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ƒ๊ธฐ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„;์ƒ๊ธฐ ๊ด‘์›์˜ ๊ด‘๊ฒฝ๋กœ ์ƒ์— ๋ฐฐ์น˜๋˜์–ด ์ƒ๊ธฐ ๊ด‘์›์œผ๋กœ๋ถ€ํ„ฐ ์กฐ์‚ฌ๋œ ๊ด‘์„ ๋‹ค์ˆ˜์˜ ํŒŒ์žฅ ๋Œ€์—ญ์œผ๋กœ ํ•„ํ„ฐ๋งํ•˜๋˜, ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜ ์š”์ฒญ์— ๋”ฐ๋ผ ์–ด๋Š ํ•˜๋‚˜๊ฐ€ ์ƒ๊ธฐ ๊ด‘์›์˜ ๊ด‘๊ฒฝ๋กœ ์ƒ์— ์œ„์น˜๋˜๋„๋ก ์ œ์–ด๋˜๋Š” ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ; ๋ฐ์ƒ๊ธฐ ๋ณธ์ฒด๋ฅผ ๋งˆ๊ฐํ•˜๋Š” ๋ฎ๊ฐœ๋ถ€๋ฅผ ํฌํ•จํ•˜๋Š”, ํ”ผ๋ถ€ ํ—ฌ์Šค์ผ€์–ด๋ฅผ ์œ„ํ•œ ๋ชจ๋ฐ”์ผ ๋‹ค์ค‘ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค

    Portable spectral imaging device, user mobile terminal, method and software program for diagnosis and management of skin

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    ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๊ฐ€ ์ œ๊ณต๋œ๋‹ค. ๋ณธ ๋ฐœ๋ช…์˜ ์‹ค์‹œ์˜ˆ์— ๋”ฐ๋ฅธ ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๋Š” ์ดฌ์˜ ๊ธฐ๋Šฅ์„ ๊ฐ–๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์— ์žฅ์ฐฉ๋˜๊ณ , ํ•„ํ„ฐ ํœ ์— ํ˜•์„ฑ๋œ ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๋ฅผ ํ†ตํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ๊ด‘์›์„ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ ์กฐ์‚ฌํ•˜๋ฉฐ, ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„; ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ์˜ ์ดฌ์˜ ์š”์ฒญ์— ๋”ฐ๋ผ ์ƒ๊ธฐ ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ์˜ ๊ฐ๊ฐ์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๊ฐ€ ์ƒ๊ธฐ ๊ด‘์›๊ณผ ์ผ์ง์„  ์ƒ์— ์œ„์น˜๋˜๋„๋ก ์ƒ๊ธฐ ์ดฌ์˜๋ถ€์˜ ์ดฌ์˜ ์†๋„์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์ƒ๊ธฐ ํ•„ํ„ฐ ํœ ์„ ์—ฐ์†์ ์œผ๋กœ ํšŒ์ „์‹œํ‚ค๋Š” ๊ตฌ๋™ ๋ชจํ„ฐ; ๋ฐ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ ์ƒ๊ธฐ ์ดฌ์˜ ์š”์ฒญ์„ ์ˆ˜์‹ ํ•˜๋„๋ก ํ†ต์‹ ํ•˜๋Š” ํ†ต์‹ ๋ถ€๋ฅผ ํฌํ•จํ•  ์ˆ˜ ์žˆ๋‹ค.์ดฌ์˜ ๊ธฐ๋Šฅ์„ ๊ฐ–๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์— ์žฅ์ฐฉ๋˜๊ณ , ํ•„ํ„ฐ ํœ ์— ํ˜•์„ฑ๋œ ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๋ฅผ ํ†ตํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ๊ด‘์›์„ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ ์กฐ์‚ฌํ•˜๋ฉฐ, ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„; ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ์˜ ์ดฌ์˜ ์š”์ฒญ์— ๋”ฐ๋ผ ์ƒ๊ธฐ ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ์˜ ๊ฐ๊ฐ์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๊ฐ€ ์ƒ๊ธฐ ๊ด‘์›๊ณผ ์ผ์ง์„  ์ƒ์— ์œ„์น˜๋˜๋„๋ก ์ƒ๊ธฐ ์ดฌ์˜๋ถ€์˜ ์ดฌ์˜ ์†๋„์— ๊ธฐ๋ฐ˜ํ•˜์—ฌ ์ƒ๊ธฐ ํ•„ํ„ฐ ํœ ์„ ์—ฐ์†์ ์œผ๋กœ ํšŒ์ „์‹œํ‚ค๋Š” ๊ตฌ๋™ ๋ชจํ„ฐ; ๋ฐ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง๋กœ๋ถ€ํ„ฐ ์ƒ๊ธฐ ์ดฌ์˜ ์š”์ฒญ์„ ์ˆ˜์‹ ํ•˜๋„๋ก ํ†ต์‹ ํ•˜๋Š” ํ†ต์‹ ๋ถ€๋ฅผ ํฌํ•จํ•˜๋Š”, ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค

    Portable spectral imaging device, user mobile terminal, method and software program for diagnosis and management of skin

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    ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๊ฐ€ ์ œ๊ณต๋œ๋‹ค. ๋ณธ ๋ฐœ๋ช…์˜ ์‹ค์‹œ์˜ˆ์— ๋”ฐ๋ฅธ ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค๋Š” ์ดฌ์˜ ๊ธฐ๋Šฅ์„ ๊ฐ–๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์— ์žฅ์ฐฉ๋˜๊ณ , ์†Œ์ •์˜ ๊ด‘์›์œผ๋กœ๋ถ€ํ„ฐ ์ƒ์„ฑ๋˜๋Š” ๊ด‘์„ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€ ์ธก์œผ๋กœ ์กฐ์‚ฌํ•˜๋ฉฐ, ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„๋ฅผ ํฌํ•จํ•˜๊ณ , ์ƒ๊ธฐ ๊ด‘ํ•™๊ณ„๋Š”, ์ƒ๊ธฐ ๊ด‘์›์˜ ๊ด‘๊ฒฝ๋กœ ์ƒ์— ๋ฐฐ์น˜๋˜์–ด ์ƒ๊ธฐ ๊ด‘์›์œผ๋กœ๋ถ€ํ„ฐ ์กฐ์‚ฌ๋œ ๊ด‘์„ ๋‹ค์ˆ˜์˜ ํŒŒ์žฅ ๋Œ€์—ญ์œผ๋กœ ํ•„ํ„ฐ๋ง ํ•˜๋Š” ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ๋ฅผ ํฌํ•จํ•  ์ˆ˜ ์žˆ๋‹ค.์ดฌ์˜ ๊ธฐ๋Šฅ์„ ๊ฐ–๋Š” ์‚ฌ์šฉ์ž ๋‹จ๋ง์— ์žฅ์ฐฉ๋˜๊ณ , ์†Œ์ •์˜ ๊ด‘์›์œผ๋กœ๋ถ€ํ„ฐ ์ƒ์„ฑ๋˜๋Š” ๊ด‘์„ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€ ์ธก์œผ๋กœ ์กฐ์‚ฌํ•˜๋ฉฐ, ์ƒ๊ธฐ ์ดฌ์˜ ๋Œ€์ƒ์˜ ํ”ผ๋ถ€๋กœ๋ถ€ํ„ฐ ๋ฐ˜์‚ฌ๋œ ๊ด‘์„ ์ˆ˜์‹ ํ•˜์—ฌ ์ƒ๊ธฐ ์‚ฌ์šฉ์ž ๋‹จ๋ง์˜ ์ดฌ์˜๋ถ€๋กœ ์ถœ๋ ฅํ•˜๋Š” ๊ด‘ํ•™๊ณ„;๋ฅผ ํฌํ•จํ•˜๊ณ ,์ƒ๊ธฐ ๊ด‘ํ•™๊ณ„๋Š”, ์ƒ๊ธฐ ๊ด‘์›์˜ ๊ด‘๊ฒฝ๋กœ ์ƒ์— ๋ฐฐ์น˜๋˜์–ด ์ƒ๊ธฐ ๊ด‘์›์œผ๋กœ๋ถ€ํ„ฐ ์กฐ์‚ฌ๋œ ๊ด‘์„ ๋‹ค์ˆ˜์˜ ํŒŒ์žฅ ๋Œ€์—ญ์œผ๋กœ ํ•„ํ„ฐ๋ง ํ•˜๋Š” ๋‹ค์ˆ˜์˜ ๊ด‘ํ•™ ํ•„ํ„ฐ;๋ฅผ ํฌํ•จํ•˜๋Š”, ํ”ผ๋ถ€ ์ง„๋‹จ ๋ฐ ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ํœด๋Œ€์šฉ ๋ถ„๊ด‘ ์ด๋ฏธ์ง• ๋””๋ฐ”์ด์Šค
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