12 research outputs found
HymnTron: A DNN Based Automatic Music Composer
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ์์ฐ๊ณผํ๋ํ ์๋ฆฌ๊ณผํ๋ถ, 2019. 2. ๊ฐ๋ช
์ฃผ.์ต๊ทผ์ ๊ฐ๋ฐ๋ก ์ธํด, ๋ฅ ๋ด๋ด ๋คํธ์ํฌ (Deep Neural Networks)๋ฅผ ์ฌ์ฉํ๊ธฐ์ํ ๋ง์ ์ดํ๋ฆฌ์ผ์ด์
์ด ์กด์ฌํ๋ค. ๊ทธ ์ค ํ๋๋ ์์
์๊ณก์ด๋ค. ์ด ๋
ผ๋ฌธ์์ ์ฐ๋ฆฌ๋ ์ธ๊ฐ ์๊ณก๊ณผ ๊ตฌ๋ณ ํ ์์๋ ์์
์ ์๊ณกํ๋ ค๊ณ ์๋ํ๋ค. ์๋ ๋
ธํธ๋ก ์๊ณก์ ์์ํ๋ค. ๋ค์์ผ๋ก LSTM์ ์ฌ์ฉํ์ฌ ์ฃผ์ด์ง ์๋ ๋
ธํธ์ ์ฝ๋ ์งํ์์ ์๋ง์ ๋ฉ๋ก๋๋ฅผ ์๊ณกํ๋ค. ๋ง์ง๋ง์ผ๋ก, ์ฐ๋ฆฌ๋ ๋น ๊ฒ์ ์๊ณ ๋ฆฌ์ฆ์ ํตํด ์ํ๋ ์์ ์ปดํฌ์ง์
๋ง ์ ์งํ๊ธฐ ์ํด ๋ค์ํ ์ค์ฝ์ด๋ง ์๊ณ ๋ฆฌ์ฆ ํจ์๋ฅผ ์ฌ์ฉํ๋ค. ์ธ๊ฐ ์กฐ์ฌ๋ ํ์ง ํ
์คํธ๋ฅผ ์ํด ์ํ๋๋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
๋ชจ๋ธ ๋ณํ ์คํผ๋ ์ดํฐ๋ค์ ์ด์ฉํ ์ค๊ณ ๋ชจ๋ธ ๋ณํ์ ๋์์ธ ํจํด์ ์ ์ฉ
ํ์๋
ผ๋ฌธ(์์ฌ)--์์ธ๋ํ๊ต ๋ํ์ :์ ๊ธฐยท์ปดํจํฐ๊ณตํ๋ถ,2003.Maste
Fusarium graminearum virus1์ ๊ฐ์ผ๋ ๋ถ์ ๊ณฐํก์ด์์ ๋ฐํ๋์ด ์ฆ๊ฐํ๋ ์ ์ ์๋ค์ ๊ดํ ๊ธฐ๋ฅ๋ถ์
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ๋์๋ช
๊ณตํ๋ถ, 2015. 2. ๊น๊ตญํ.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.ABSTRACTโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ5
CONTENTSโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ7
LIST OF TABLESโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 9
LIST OF FIGURESโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.. 10
I.INTRODUCTIONโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 11
II. MATERIALS AND METHODSโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ15
1. Fungal strains and culture conditionโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.. 15
2. Computational analysisโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ15
3. Construction of target gene deletion and complementation mutantsโฆโฆโฆโฆโฆ 15
4. Fungal transformationโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 18
5. Genomic DNA extractionโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.. 19
6. Southern blot hybridization โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 19
7. Total RNA extractionโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.... 20
8. Semi quantitative RT-PCR.โฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.. 20
III. RESULTSโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 27
1. Selection of target gene.....................................................................โฆโฆโฆโฆ27
2. Prediction of gene function using blast toolsโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 27
3. Generation of gene deletion mutantsโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ 28
4. Generation of complementation mutantsโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 28
5. Colony morphology testโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 35
6. Vegetative growth of deletion mutantsโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ.. 35
7. Quantification of FgV1 viral RNA accumulation using semi-quantitative RT-PCRโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ .40
IV.DISCUSSIONโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 42
V.LITERATURE CITEDโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 47
VI. ABSTRACT IN KOREANโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆโฆ. 53Maste
ํ๊ตญ์ธ ์ ์ ์ฒด ๋ณ์ด ํ์ค ๋ฐ์ดํฐ๋ฒ ์ด์ค (KOVA) ๊ตฌ์ถ
ํ์๋
ผ๋ฌธ (์์ฌ)-- ์์ธ๋ํ๊ต ๋ํ์ : ์์ฐ๊ณผํ๋ํ ์๋ช
๊ณผํ๋ถ, 2018. 8. ๋ฐฑ๋ํ.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 ์ด๋ก 43Maste
Mobile multispectral imaging device, user mobile device connection, image analysis software in a connected server for skin healthcare
ํผ๋ถ ํฌ์ค์ผ์ด๋ฅผ ์ํ ๋ชจ๋ฐ์ผ ๋ค์ค ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๊ฐ ์ ๊ณต๋๋ค. ๋ณธ ๋ฐ๋ช
์ ์ค์์์ ๋ฐ๋ฅธ ํผ๋ถ ํฌ์ค์ผ์ด๋ฅผ ์ํ ๋ชจ๋ฐ์ผ ๋ค์ค ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๋ ์ฌ์ฉ์ ๋จ๋ง์ด ์ฅ์ฐฉ๋๊ณ , ์ฌ์ฉ์ ๋จ๋ง์ ๊ด์ ๋ฐ ์ดฌ์๋ถ๋ฅผ ์ด์ฉํ์ฌ ์ดฌ์ ๋์์ ํผ๋ถ๋ฅผ ์ดฌ์ํ๋ค. ์ด๋ฌํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๋ ์ฌ์ฉ์ ๋จ๋ง์ด ์ฅ์ฐฉ๋๋ ๋ณธ์ฒด, ๋ณธ์ฒด์ ์ฅ์ฐฉ๋ ์ฌ์ฉ์ ๋จ๋ง์ ๊ด์ ๋ฐ ์ดฌ์๋ถ์ ๋์ํ๋ ์์น์ ๋ฐฐ์น๋๋ฉฐ, ๊ด์์ ์ดฌ์ ๋์์ ํผ๋ถ๋ก ์กฐ์ฌํ๊ณ , ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ, ๋ค์์ ๊ดํ ํํฐ๋ฅผ ํฌํจํ๊ณ , ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์ ์์ฒญ์ ๋ฐ๋ผ ํ๋์ ์ ํ๋ ๊ด์ ํํฐ๊ฐ ๊ด์๊ณผ ์ผ์ง์ ์์ ๋ฐฐ์น๋๋๋ก ํ์ ๊ฐ๋ฅํ ํํฐ ํ , ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ์ ์ดฌ์ ์์ฒญ์ ๋ฐ๋ผ ๋ค์์ ๊ดํ ํํฐ์ ๊ฐ๊ฐ์ด ๊ด์๊ณผ ์ผ์ง์ ์์ ์์น๋๋๋ก ์ดฌ์๋ถ์ ์ดฌ์ ์๋์ ๊ธฐ๋ฐํ์ฌ ํํฐ ํ ์ ์ฐ์์ ์ผ๋ก ํ์ ์ํค๋ ๊ตฌ๋ ๋ชจํฐ, ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ ์ดฌ์ ์์ฒญ์ ์์ ํ๋๋ก ํต์ ํ๋ ํต์ ๋ถ, ๋ฐ ๊ดํ๊ณ์ ๋์ํ๋ ์์น์ ๊ดํต๊ตฌ๋ฅผ ๊ตฌ๋นํ ๋ฎ๊ฐ๋ถ๋ฅผ ํฌํจํ๋ค.์ฌ์ฉ์ ๋จ๋ง์ด ์ฅ์ฐฉ๋๊ณ , ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์๋ถ๋ฅผ ์ด์ฉํ์ฌ ์ดฌ์ ๋์์ ํผ๋ถ๋ฅผ ์ดฌ์ํ๋ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๋ก์,์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ด ์ฅ์ฐฉ๋๋ ๋ณธ์ฒด;์์ ์ ๊ด์ ๋ฐ ์๊ธฐ ์ดฌ์๋ถ์ ๋์ํ๋ ์์น์ ๋ฐฐ์น๋๋ฉฐ, ์๊ธฐ ๊ด์์ ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก ์กฐ์ฌํ๊ณ , ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์๊ธฐ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ;์๊ธฐ ๊ด์์ ๊ด๊ฒฝ๋ก ์์ ๋ฐฐ์น๋์ด ์๊ธฐ ๊ด์์ผ๋ก๋ถํฐ ์กฐ์ฌ๋ ๊ด์ ๋ค์์ ํ์ฅ ๋์ญ์ผ๋ก ํํฐ๋งํ๋, ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์ ์์ฒญ์ ๋ฐ๋ผ ์ด๋ ํ๋๊ฐ ์๊ธฐ ๊ด์์ ๊ด๊ฒฝ๋ก ์์ ์์น๋๋๋ก ์ ์ด๋๋ ๋ค์์ ๊ดํ ํํฐ; ๋ฐ์๊ธฐ ๋ณธ์ฒด๋ฅผ ๋ง๊ฐํ๋ ๋ฎ๊ฐ๋ถ๋ฅผ ํฌํจํ๋, ํผ๋ถ ํฌ์ค์ผ์ด๋ฅผ ์ํ ๋ชจ๋ฐ์ผ ๋ค์ค ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค
Portable spectral imaging device, user mobile terminal, method and software program for diagnosis and management of skin
ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๊ฐ ์ ๊ณต๋๋ค. ๋ณธ ๋ฐ๋ช
์ ์ค์์์ ๋ฐ๋ฅธ ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๋ ์ดฌ์ ๊ธฐ๋ฅ์ ๊ฐ๋ ์ฌ์ฉ์ ๋จ๋ง์ ์ฅ์ฐฉ๋๊ณ , ํํฐ ํ ์ ํ์ฑ๋ ๋ค์์ ๊ดํ ํํฐ๋ฅผ ํตํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ๊ด์์ ์ดฌ์ ๋์์ ํผ๋ถ๋ก ์กฐ์ฌํ๋ฉฐ, ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ; ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ์ ์ดฌ์ ์์ฒญ์ ๋ฐ๋ผ ์๊ธฐ ๋ค์์ ๊ดํ ํํฐ์ ๊ฐ๊ฐ์ ๊ดํ ํํฐ๊ฐ ์๊ธฐ ๊ด์๊ณผ ์ผ์ง์ ์์ ์์น๋๋๋ก ์๊ธฐ ์ดฌ์๋ถ์ ์ดฌ์ ์๋์ ๊ธฐ๋ฐํ์ฌ ์๊ธฐ ํํฐ ํ ์ ์ฐ์์ ์ผ๋ก ํ์ ์ํค๋ ๊ตฌ๋ ๋ชจํฐ; ๋ฐ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ ์๊ธฐ ์ดฌ์ ์์ฒญ์ ์์ ํ๋๋ก ํต์ ํ๋ ํต์ ๋ถ๋ฅผ ํฌํจํ ์ ์๋ค.์ดฌ์ ๊ธฐ๋ฅ์ ๊ฐ๋ ์ฌ์ฉ์ ๋จ๋ง์ ์ฅ์ฐฉ๋๊ณ , ํํฐ ํ ์ ํ์ฑ๋ ๋ค์์ ๊ดํ ํํฐ๋ฅผ ํตํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ๊ด์์ ์ดฌ์ ๋์์ ํผ๋ถ๋ก ์กฐ์ฌํ๋ฉฐ, ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ; ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ์ ์ดฌ์ ์์ฒญ์ ๋ฐ๋ผ ์๊ธฐ ๋ค์์ ๊ดํ ํํฐ์ ๊ฐ๊ฐ์ ๊ดํ ํํฐ๊ฐ ์๊ธฐ ๊ด์๊ณผ ์ผ์ง์ ์์ ์์น๋๋๋ก ์๊ธฐ ์ดฌ์๋ถ์ ์ดฌ์ ์๋์ ๊ธฐ๋ฐํ์ฌ ์๊ธฐ ํํฐ ํ ์ ์ฐ์์ ์ผ๋ก ํ์ ์ํค๋ ๊ตฌ๋ ๋ชจํฐ; ๋ฐ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง๋ก๋ถํฐ ์๊ธฐ ์ดฌ์ ์์ฒญ์ ์์ ํ๋๋ก ํต์ ํ๋ ํต์ ๋ถ๋ฅผ ํฌํจํ๋, ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค
MOBILE MULTISPECTRAL IMAGING DEVICE, USER TERMINAL FOR ACQUIRING MULTISPECTRAL IMAGE, SPECTRAL IMAGE ANALYSIS SERVER AND METHOD THEREOF
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Portable spectral imaging device, user mobile terminal, method and software program for diagnosis and management of skin
ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๊ฐ ์ ๊ณต๋๋ค. ๋ณธ ๋ฐ๋ช
์ ์ค์์์ ๋ฐ๋ฅธ ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค๋ ์ดฌ์ ๊ธฐ๋ฅ์ ๊ฐ๋ ์ฌ์ฉ์ ๋จ๋ง์ ์ฅ์ฐฉ๋๊ณ , ์์ ์ ๊ด์์ผ๋ก๋ถํฐ ์์ฑ๋๋ ๊ด์ ์ดฌ์ ๋์์ ํผ๋ถ ์ธก์ผ๋ก ์กฐ์ฌํ๋ฉฐ, ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ๋ฅผ ํฌํจํ๊ณ , ์๊ธฐ ๊ดํ๊ณ๋, ์๊ธฐ ๊ด์์ ๊ด๊ฒฝ๋ก ์์ ๋ฐฐ์น๋์ด ์๊ธฐ ๊ด์์ผ๋ก๋ถํฐ ์กฐ์ฌ๋ ๊ด์ ๋ค์์ ํ์ฅ ๋์ญ์ผ๋ก ํํฐ๋ง ํ๋ ๋ค์์ ๊ดํ ํํฐ๋ฅผ ํฌํจํ ์ ์๋ค.์ดฌ์ ๊ธฐ๋ฅ์ ๊ฐ๋ ์ฌ์ฉ์ ๋จ๋ง์ ์ฅ์ฐฉ๋๊ณ , ์์ ์ ๊ด์์ผ๋ก๋ถํฐ ์์ฑ๋๋ ๊ด์ ์ดฌ์ ๋์์ ํผ๋ถ ์ธก์ผ๋ก ์กฐ์ฌํ๋ฉฐ, ์๊ธฐ ์ดฌ์ ๋์์ ํผ๋ถ๋ก๋ถํฐ ๋ฐ์ฌ๋ ๊ด์ ์์ ํ์ฌ ์๊ธฐ ์ฌ์ฉ์ ๋จ๋ง์ ์ดฌ์๋ถ๋ก ์ถ๋ ฅํ๋ ๊ดํ๊ณ;๋ฅผ ํฌํจํ๊ณ ,์๊ธฐ ๊ดํ๊ณ๋, ์๊ธฐ ๊ด์์ ๊ด๊ฒฝ๋ก ์์ ๋ฐฐ์น๋์ด ์๊ธฐ ๊ด์์ผ๋ก๋ถํฐ ์กฐ์ฌ๋ ๊ด์ ๋ค์์ ํ์ฅ ๋์ญ์ผ๋ก ํํฐ๋ง ํ๋ ๋ค์์ ๊ดํ ํํฐ;๋ฅผ ํฌํจํ๋, ํผ๋ถ ์ง๋จ ๋ฐ ๊ด๋ฆฌ๋ฅผ ์ํ ํด๋์ฉ ๋ถ๊ด ์ด๋ฏธ์ง ๋๋ฐ์ด์ค