34 research outputs found

    Streptomyces exfoliatus SMF13์—์„œ Trypsin-like protease ์œ ์ „์ž ๋ฐ ์ƒํ•ฉ์„ฑํ›„ ์ถ•์  ๋ถ€์œ„ ๋ถ„์„

    Full text link
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ƒ๋ช…๊ณผํ•™๋ถ€,2001.Maste

    Synthesis and characterization of chitosan-conjugated arachidic acid for self-assembled nanoparticles as a new drug delivery carrier

    Full text link
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์•ฝํ•™๊ณผ, 2012. 2. Kim, Dae-Duk.Chitosan oligosaccharide (CSO), a waterโ€“soluble low molecular weight chitosan, was hydrophobically modified with arachidic acid (AA), long chain fatty acid, through an EDC coupling reaction with different ratio of AA/CSO. Conjugation of synthesized chitosan oligosaccharide-conjugated arachidic acid (CSO-AA) was confirmed by FT-IR and 1H-NMR. The substitution ratios increased from 0.4 to 2.33 molar of AA substitution on CSO when the initial AA/CSO ratios increased during synthesis. Formation and characteristic of self-assembled nanoparticles of CSO-AA were determined by fluorescence spectroscopy, dynamic light scattering method and transmission electron microscopy. The critical micelle concentration (CMC) values decreased from 1.87 to 1.02 ยตg/ml with increasing the substitution ratio. The CSO-AAs formed spherical shape self-assembled nanoparticles with the particle sizes in the range of 65-77 nm depending on the substitution ratio. The zeta potentials were in the range of 2.74-16.15 mV. The results showed CSO-AA was successfully synthesized which could be applied for the preparation of self-assembled nanoparticles for hydrophobic drugs.Maste

    From Bonghan Duct to Primo Vascular System: Dynamics of Scientific Objects

    Full text link
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ˜‘๋™๊ณผ์ • ๊ณผํ•™์‚ฌ๋ฐ๊ณผํ•™์ฒ ํ•™์ „๊ณต, 2015. 2. ํ™์„ฑ์šฑ.๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณผํ•™๊ธฐ์ˆ ํ•™์˜ ํ†ต์ฐฐ์„ ํ†ตํ•ด ๋…ผ์Ÿ์ ์ธ ๊ณผํ•™์  ์—ฐ๊ตฌ๋Œ€์ƒ์„ ์ดํ•ดํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ๊ฒฝ๋ฝ์˜ ์‹ค์ฒด๋กœ ์•Œ๋ ค์ง„ ํ”„๋ฆฌ๋ชจ๊ด€(Primo Vessel)์˜ ์—ฐ๊ตฌ ์‚ฌ๋ก€๋ฅผ ์ฐธ์—ฌ๊ด€์ฐฐ์„ ํ†ตํ•ด ๋ถ„์„ํ•˜์˜€๋‹ค. ๊ณผํ•™๊ธฐ์ˆ ํ•™์˜ ANT๋Š” ์—ฐ๊ตฌ๋Œ€์ƒ์„ ๋Œ€์ƒ๊ณผ ์—ฐ๊ตฌ์ž๊ฐ„์˜ ์ด์ข…๊ฐ„ ๊ฒฐํ•ฉ์˜ ์•ˆ์ •ํ•œ ํ˜•ํƒœ๋กœ ๋ณธ๋‹ค. ํ”„๋ฆฌ๋ชจ๊ด€์€ ํ•œ์˜ํ•™๋ฌผ๋ฆฌ ์—ฐ๊ตฌ์‹ค ๋‚ด์—์„œ ๋‹ค์–‘ํ•œ ๊ฐœ๋ณ„ ์—ฐ๊ตฌ์ž์— ์˜ํ•ด ๋‹จ์ผํ•œ ๋Œ€์ƒ์ด ์•„๋‹Œ ๋‹ค์ค‘์˜ ๋Œ€์ƒ(multiple objects)์œผ๋กœ ๊ตฌ์„ฑ๋๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋…ผ๋ฌธ๊ณผ ์‹œ์—ฐ ์‹คํ—˜์˜ ๊ณผ์ •์—์„œ ํ”„๋ฆฌ๋ชจ๊ด€์€ ๋‹จ์ผํ•œ ๋Œ€์ƒ์œผ๋กœ ํ†ตํ•ฉ๋˜์—ˆ์œผ๋ฉฐ ํ•˜๋‚˜์˜ ์—ฐ๊ตฌ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ์‹ค ๋ฌธ์„ ๋‚˜์„ฐ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋‹ค๋ฅธ ์—ฐ๊ตฌ์‹ค๋กœ ๋“ค์–ด๊ฐ€๋ฉด ๋‹ค์‹œ ๊ทธ ๋ชจ์–‘์ด ๋ณ€ํ•œ๋‹ค. ๊ทธ๋Ÿผ์—๋„ ์—ฐ๊ตฌ์ž๋“ค์€ ๋‹ค์–‘ํ•œ ๋Œ€์ƒ์„ ํ”„๋ฆฌ๋ชจ๊ด€์œผ๋กœ ๋ถ€๋ฅด๋ฉฐ ๋™์ผ์‹œํ•œ๋‹ค. ์ด ๊ณผ์ •์€ ํ”„๋ฆฌ๋ชจ๊ด€์ด ์—ฐ๊ตฌ์‹ค ๋‚ด์—์„œ๋Š” ๋‹ค์–‘ํ•œ ์—ฐ๊ตฌ์ž์™€ ๊ฐ๊ฐ ํŠน์ •ํ•œ ๊ฒฐํ•ฉ์„ ์ด๋ฃจ๋ฉฐ ๋‹ค์–‘ํ•œ ๋Œ€์ƒ์ด ๋˜์—ˆ๋‹ค๊ฐ€ ๋…ผ๋ฌธ๊ณผ ์‹œ์—ฐ ์‹คํ—˜์—์„œ๋Š” ํ•˜๋‚˜๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์œผ๋กœ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋‹ค. ๋‹จ์ผํ•œ ๋Œ€์ƒ์œผ๋กœ์˜ ์ˆ˜๋ ด๊ณผ ๋‹ค์ค‘์˜ ๋Œ€์ƒ์œผ๋กœ ๋ฐœ์‚ฐํ•˜๋Š” ๊ณผ์ •์„ ์ง€์†ํ•˜๋Š” ํ”„๋ฆฌ๋ชจ๊ด€์˜ ์ด๋Ÿฌํ•œ ๋™์—ญํ•™(Dynamics)์€ ๋ฐœ๊ฒฌ์— ๋…ผ์Ÿ์„ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ๋„ ํ–ˆ์ง€๋งŒ ๋™์‹œ์— ๋” ๋งŽ์€ ์—ฐ๊ตฌ์ž๋“ค์„ ๋Œ์–ด๋“ค์ด๋Š” ๋™๋ ฅ์ด ๋๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ๊ตฌ์„ฑ๋œ๋‹ค. ๋จผ์ € ๊ณผํ•™์  ์—ฐ๊ตฌ๋Œ€์ƒ์— ๋Œ€ํ•œ ๊ณผํ•™๊ธฐ์ˆ ํ•™์˜ ์„ ํ–‰ ์—ฐ๊ตฌ๋ฅผ ๋ฆฌ๋ทฐํ•˜๊ณ  ๋ณธ ์—ฐ๊ตฌ์˜ ๊ด€์ ๊ณผ ๋น„๊ตํ•œ๋‹ค. ๋‘˜์งธ, ํ•œ์˜ํ•™๋ฌผ๋ฆฌ์—ฐ๊ตฌ์‹ค์—์„œ ์ง„ํ–‰๋œ ํ”„๋ฆฌ๋ชจ๊ด€์˜ ๋ฐœ๊ฒฌ์„ ์—ญ์‚ฌ์ ์œผ๋กœ ์žฌ๊ตฌ์„ฑํ•œ๋‹ค. ์…‹์งธ, ์ฐธ์—ฌ๊ด€์ฐฐ์„ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ์˜ํ•™๋ฌผ๋ฆฌ์—ฐ๊ตฌ์‹ค์—์„œ ํ”„๋ฆฌ๋ชจ๊ด€์ด ๋‹ค์ค‘์  ์—ฐ๊ตฌ๋Œ€์ƒ์œผ๋กœ ๊ตฌ์„ฑ๋˜๋Š” ๊ณผ์ •์„ ์„œ์ˆ ํ•˜๊ณ , ๋‹ค์ค‘์  ํ”„๋ฆฌ๋ชจ๊ด€์ด ๋…ผ๋ฌธ์—์„œ๋Š” ๋‹จ์ผํ™”๋˜๋Š” ๊ณผ์ •์„ ๋ถ„์„ํ•œ๋‹ค. ๋„ท์งธ, ํ”„๋ฆฌ๋ชจ๊ด€์ด ์—ฐ๊ตฌ์‹ค์˜ ๋ฒฝ์„ ๋„˜์–ด ์—ฐ๊ฒฐ๋ง์„ ๊ตฌ์„ฑํ•˜๊ณ , ๋‹ค๋ฅธ ์—ฐ๊ตฌ์‹ค๋กœ ๋“ค์–ด๊ฐ€๋Š” ๊ณผ์ •์„ ๋ณธ๋‹ค. ๊ณผํ•™์  ์—ฐ๊ตฌ๋Œ€์ƒ์œผ๋กœ์„œ ํ”„๋ฆฌ๋ชจ๊ด€์ด ๋‹ค์ค‘์  ๋Œ€์ƒ์œผ๋กœ ๊ตฌ์„ฑ๋˜๋Š” ๊ณผ์ •์„ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์€ ๋ฐœ๊ฒฌ์ด ์ง„ํ–‰ ์ค‘์ธ ๋Œ€์ƒ์— ๋Œ€ํ•ด ์ƒˆ๋กญ๊ฒŒ ์ดํ•ดํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•œ๋‹ค.1. ์„œ๋ก  ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 1 2. ์‹คํ—˜์‹ค์˜ ๊ณผํ•™ ํ™œ๋™๊ณผ ๊ณผํ•™์  ์—ฐ๊ตฌ๋Œ€์ƒ ยทยทยทยทยทยทยทยทยทยทยทยทยท 5 3. ํ•œ์˜ํ•™๋ฌผ๋ฆฌ์—ฐ๊ตฌ์‹ค๋กœ ๋“ค์–ด์˜จ ํ”„๋ฆฌ๋ชจ๊ด€ ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 11 4. ํ•œ์˜ํ•™๋ฌผ๋ฆฌ์—ฐ๊ตฌ์‹ค ๋‚ด์˜ ๋‹ค์ค‘์˜ ํ”„๋ฆฌ๋ชจ๊ด€ ยทยทยทยทยทยทยทยทยทยทยทยท 28 5. ํ”„๋ฆฌ๋ชจ๊ด€์˜ ์ „ํŒŒ: ๋…ผ๋ฌธ, ํ•™ํšŒ, ์‹œ์—ฐ ์‹คํ—˜ ยทยทยทยทยทยทยทยทยทยทยท 43 6. ๊ฒฐ๋ก : ์—ฐ๊ตฌ๋Œ€์ƒ์˜ ๋™์—ญํ•™ ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 55 ์ฐธ๊ณ ๋ฌธํ—Œ ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 58 Abstract ยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยทยท 66Maste

    ์ƒ์—…์˜ํ™” ์† ์Œ์•… ์žฅ๋ฉด์—์„œ ์‹œ๊ฐ์ , ์Œ์•…์  ํ…œํฌ์˜ ์ •๋Ÿ‰์  ๊ด€๊ณ„ ๋ถ„์„

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๋ถ€, 2015. 2. ์ด๊ต๊ตฌ.The amount of multimedia including movies in existence has become so extensive that dealing with these data cannot be performed easily. Previous studies have explored the relationship between visual and auditory signals in multimedia data using CV (Computer Vision) and MIR (Music Information Retrieval) techniques. This thesis focuses on the temporal correlation between music and video signals in commercial motion pictures. Tempo means the speed of music the rate of activity. Musical tempo is created by temporal periodicity and visual speed is created through spatial variance or salient event intervals. This means another indicator to combine musical and visual tempo scale is needed. We refer to this as Tempo Index. In this research, multimodal tempo relationship is analyzed by estimating each tempo index of training data. Visual tempo derived from combination of motion vector magnitude, shot length, and visual activity index. Musical tempo is estimated by calculating beat intervals. To match visual and musical tempo, two indices are converted to tempo indices referring to study of Motion tempo and multisensory integration. All features used as the ground truth are compensated manually after automated computation. The experimental result shows that there exists a linear relationship between proposed two tempo indicators. This global tempo congruency is evaluated by analyzing other film data and user survey. The result of this study is expected to provide clues for further multimedia contents research.Table of Contents Abstract i Table of Contents ii List of Tables iv List of Figures v 1 Introduction 1 1.1 Motivation 1 1.2 Goal 6 2 Literature Review 9 2.1 Theoretical Framework 9 2.1.1 Characteristics of Audio-visual Features in Films 9 2.1.2 Audiovisual Tempo Formation 10 2.1.3 Audiovisual Tempo of Musical Scenes 12 2.2 Related Works 13 3 Methodology 16 3.1 Pilot Test 16 3.2 Components of the Process 20 3.3 Experimental Design 22 3.3.1 Feature Extraction 22 3.3.2 Tempo Estimation 31 3.3.3 Tempo Index 33 4 Results and Discussion 35 4.1 Quantitative Analysis 35 4.2 Qualitative Analysis 45 5 User Survey 48 6 Conclusion 57 6.1 Summary and Contribution 57 6.2 Limitations and Future Works 59 Bibliography 61 Abstract in Korean 67 Appendix 69Maste

    A Study on the Oral Health Care of Korean :Americans in virginia U.S.A

    Full text link
    ope

    2016๋…„ ์ถฉ๋‚จ ๋†์–ด์—…6์ฐจ์‚ฐ์—…ํ™” ์ฝ”์นญ์‚ฌ์—…

    Full text link
    โ–ก ํ˜„์žฅ์ฝ”์นญ ์ถ”์ง„ ์‹ค์  ๋ฐ ์„ฑ๊ณผ โ—‹ ์ถ”์ง„ํ˜„ํ™ฉ โ– (์‚ฌ๋ก€) ๊ตฌ์ฒดํ™”๋œ ํ˜„์žฅ์ฝ”์นญ ์„ฑ๊ณผ์‚ฌ๋ก€ ์ฝ”์นญํ›„ ๊ฒฝ์˜์ฒด ๊ธฐ์‚ฌ๋ณด๋„โ–ก ํ˜„์žฅ์ฝ”์นญ ์ถ”์ง„ ์‹ค์  ๋ฐ ์„ฑ๊ณผ โ—‹ ์ถ”์ง„ํ˜„ํ™ฉ โ– (์‚ฌ๋ก€) ๊ตฌ์ฒดํ™”๋œ ํ˜„์žฅ์ฝ”์นญ ์„ฑ๊ณผ์‚ฌ๋ก€ ์ฝ”์นญํ›„ ๊ฒฝ์˜์ฒด ๊ธฐ์‚ฌ๋ณด

    (ํ•ด์™ธ์ถœ์žฅ๋ณด๊ณ ์„œ)ํ•ด์™ธ์ถœ์žฅ๋ณด๊ณ ์„œ-6์ฐจ์‚ฐ์—… ์šฐ์ˆ˜์‚ฌ์—…์ž ์„ ์ง„์ง€ ๊ฒฌํ•™(์ผ๋ณธ ํ›„์ฟ ์˜ค์นดํ˜„, ์˜ค์ดํƒ€ํ˜„, ๊ตฌ๋งˆ๋ชจํ† ํ˜„)

    Full text link
    โ ์—ฐ์ˆ˜๋ชฉ์  โ—‹ 6์ฐจ์‚ฐ์—… ๊ตญ์™ธ ํ›ˆ๋ จ ๊ณ„ํš(์šฐ์ˆ˜์‚ฌ์—…์ž์— ๋Œ€ํ•œ ์ผ๋ณธ ๋ฒค์น˜๋งˆํ‚น) - 2017๋…„ ์ œ3๊ธฐ 6์ฐจ์‚ฐ์—… ์ผ๋ณธ ํ›ˆ๋ จ(ํ์Šˆ์ง€๋ฐฉ 6์ฐจ์‚ฐ์—… ์šฐ์ˆ˜์‚ฌ์—… ๋ชจ๋ธ ๋ฒค์น˜๋งˆํ‚น) - ์ผ๋ณธ ํ์Šˆ์ง€์—ญ ๋†์—…๋†์ดŒ ์ •์ฑ…ํ˜„ํ™ฉ ์กฐ์‚ฌ - 6์ฐจ์‚ฐ์—… ์ง€์› ์ „๋‹ด์ธ๋ ฅ์˜ ์—ญํ• ๊ณผ ํ™œ๋™ ์‚ฌ๋ก€ ์กฐ์‚ฌ - ๋†๋ฆผ์ˆ˜์‚ฐ์„ฑ 6์ฐจ์‚ฐ์—… ์ธ์ฆ ๋†๊ฐ€ ๋ฐฉ๋ฌธ์„ ํ†ตํ•œ ํ˜„ํ™ฉ ์กฐ์‚ฌ - ๋‚™๋†ํ˜• ์ฒดํ—˜๋ชฉ์žฅ ๋ฐ ๋†๊ฐ€๋ฏผ๋ฐ• ์šด์˜ ํ˜„์žฅ๋ฐฉ๋ฌธ์„ ํ†ตํ•œ 6์ฐจ์‚ฐ์—… ์šด์˜ ์‚ฌ๋ก€์กฐ์‚ฌ โ ์—ฐ์ˆ˜๊ธฐ๊ฐ„ - 2017๋…„ 8์›” 21์ผ(์›”)~25์ผ(๊ธˆ), 4๋ฐ• 5์ผ โ ์ถœ์žฅ์ž ๋ช…๋‹จ ์„ฑ๋ช… ์˜๋ฌธ ์„ฑ๋ณ„ ์†Œ์† ์ง์ฑ… ์ด์˜์˜ฅ LEE YEONG OK ์—ฌ ์ถฉ๋‚จ์—ฐ๊ตฌ์› ์ถฉ๋‚จ๋†์–ด์—…6์ฐจ์‚ฐ์—…ํ™”์„ผํ„ฐ ์—ฐ๊ตฌ์› ๊น€์—ฐํ™” KIM YEON HWA ์—ฌ ์ถฉ๋‚จ์—ฐ๊ตฌ์› ์ถฉ๋‚จ๋†์–ด์—…6์ฐจ์‚ฐ์—…ํ™”์„ผํ„ฐ ์—ฐ๊ตฌ์› โ ์—ฐ์ˆ˜์ง€์—ญ : ์ผ๋ณธ ํ›„์ฟ ์˜ค์นดํ˜„, ์˜ค์ดํƒ€ ํ˜„, ๊ตฌ๋งˆ๋ชจํ†  ํ˜„โ… . ๊ตญ์™ธ์—ฐ์ˆ˜ ๊ฐœ์š” โ…ก. ์ผ๋ณธ ๋ฐฉ๋ฌธ์ง€์—ญ ๋™์„  โ…ข. ์ผ๋ณธ ๋ฐฉ๋ฌธ์ง€์—ญ ์กฐ์‚ฌ ๊ฒฐ๊ณผ โ…ฃ. ์ผ๋ณธ ์‚ฌ๋ก€์ง€๋ณ„ ๋ฐฉ๋ฌธ ํ›„ ๋ฐฐ์šด

    6์ฐจ์‚ฐ์—…ํ™”์ •์ฑ…ํฌ๋Ÿผ: ๋†์—…์˜ ์žฌํŽธ

    Full text link
    ย 2016๋…„ ํ˜„์žฌ 1,200๊ฐœ(10์›”31์ผ, ์ถฉ๋‚จ์€ 86๊ฐœ) ๊ฒฝ์˜์ฒด๊ฐ€ ์ธ์ฆ๋˜์—ˆ์œผ๋‚˜, ์ „์ฒด ์ธ์ฆ ๊ฒฝ์˜์ฒด์˜ 90% ์ด์ƒ์ด ๊ฐœ๋ณ„๊ฒฝ์˜์ฒด ํ˜น์€ ๋‹จ์ˆœ ์ œ์กฐ๊ฐ€๊ณต์„ ์ค‘์‹ฌ์œผ๋กœ ํ•˜๋Š” ์ˆ˜์ง€์  ๋†์ดŒ์‚ฐ์—…์— ๋ถˆ๊ณผํ•˜๊ณ  ์žˆ์–ด ๋ฏธ๋ž˜ 6์ฐจ์‚ฐ์—… ์ •์ฑ…์˜ ๋ณ€ํ™”๊ฐ€ ํ•„์š”ํ•˜๋‹ค๋Š” ์ฃผ์žฅ์ด ์žˆ๊ณ , 6์ฐจ์‚ฐ์„ ํ†ตํ•œ ๋ฏธ๋ž˜์˜ ๋†์—… ์žฌํŽธ์„ ์œ„ํ•œ ๋ฐฉ๋ฒ•์˜ ์ œ์‹œ๊ฐ€ ํ•„์š”ํ•œ ์‹œ์ ์œผ๋กœ ๋Œ€๋‘๋˜๊ณ  ์žˆ์Œ. ๋ฏธ๋ž˜ ๋†์—…์— ๋Œ€ํ•œ ๊ณ ๋ฏผ, ๋ฏธ๋ž˜ ๋†์ดŒ์˜ ํฌ๋ง, ๋ฏธ๋ž˜ 6์ฐจ์‚ฐ์—… ์ •์ฑ… ๋ฐฉํ–ฅ 1. ๊ฐœ์š” โ–ก ์ผ ์ • : 2016๋…„ 12์›” 7์ผ(์ˆ˜) 14์‹œ ~ โ–ก ์žฅ ์†Œ : ์ถฉ๋‚จ์—ฐ๊ตฌ์› 4์ธต ๋Œ€ํšŒ์˜์‹ค(๊ณต์ฃผ์‹œ ์—ฐ์ˆ˜์›๊ธธ 73-26 ์ถฉ๋‚จ์—ฐ๊ตฌ์›) โ–ก ์ฃผ ์ตœ : ์ถฉ๋‚จ์—ฐ๊ตฌ์› โ–ก ์ฃผ ๊ด€ : ์ถฉ๋‚จ๋†์–ด์—…6์ฐจ์‚ฐ์—…ํ™”์„ผํ„ฐ โ€ง ๋†์ดŒ๋†์—…์—ฐ๊ตฌ๋ถ€ 2. ๋ชฉ์  โ–ก ๋ฏธ๋ž˜ ๋†์—… ๋†์ดŒ์˜ ๋ฐฉํ–ฅ โ–ก ์ผ๋ณธ์˜ 6์ฐจ์‚ฐ์—… ์ •์ฑ…์˜ ์‹œ์‚ฌ์  - ์ดํ›„ ์ƒ๋žต- ์ผ๋ณธ 6์ฐจ์‚ฐ์—… ํ˜„ํ™ฉ๋ณด๊ณ  ๋ฐ ๊ณผ์ œ ~ ํ”Œ๋ž˜๋„ˆ์˜ ๊ด€์ ์—์„œ (6์ฐจ์„œํฌํŠธ์›จ์ŠคํŠธ๋Œ€ํ‘œ ํ›„์ง€์นด์ผ€์Šค์Šค๋ฌด) - ๋งŒ๋“œ๋Š” ์ฆ๊ฑฐ์›€ ์ œ์กฐํ•˜๋Š” ์žฌ๋ฏธ ์ฐฝ์กฐ์˜ ๋ฌ˜๋ฏธ (๋ฃจ์‹œ์˜ค๋ฃจ ํŒœ ๋Œ€ํ‘œ์ด์‚ฌ ์ด๋งˆ์ด ์‚ฌํ† ์‹œ

    6์ฐจ์‚ฐ์—…์ •์ฑ…ํฌ๋Ÿผ: ๊ณต๊ณต๊ธ‰์‹

    Full text link
    6์ฐจ์‚ฐ์—… ์ธ์ฆ ๋†๊ฐ€์˜ ์ƒํ’ˆ๊ณผ ๋”๋ถˆ์–ด ์ถฉ๋‚จ์˜ 6์ฐจ์‚ฐ์—… ์ƒํ’ˆ๋“ค์ด ํ•™๊ต๊ธ‰์‹์œผ๋กœ ๊ณต๊ธ‰๋  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์— ๋Œ€ํ•ด์„œ ๋…ผ์˜ ๋ชจ์ƒ‰, ๋†๊ฐ€๋Š” ์ถฉ๋‚จ์˜ ํ•™๊ต๊ธ‰์‹์„ผํ„ฐ๋กœ ์ƒํ’ˆ์„ ๋‚ฉํ’ˆํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•๊ณผ ์ ˆ์ฐจ์— ๋Œ€ํ•ด ํ•™์Šต ํ•„์š” 1. ๊ฐœ์š” โ–ก ์ผ ์ • : 2016๋…„ 10์›” 06์ผ(๋ชฉ) 15์‹œ:00 ~ 17์‹œ 30๋ถ„ โ–ก ์žฅ ์†Œ : ์ถฉ๋‚จ์—ฐ๊ตฌ์› 1์ธต ๋Œ€ํšŒ์˜์‹ค(๊ณต์ฃผ์‹œ ์—ฐ์ˆ˜์›๊ธธ 73-26 ์ถฉ๋‚จ์—ฐ๊ตฌ์›) โ–ก ์ฃผ ์ตœ : ์ถฉ๋‚จ์—ฐ๊ตฌ์› โ–ก ์ฃผ ๊ด€ : ์ถฉ๋‚จ ๋†์–ด์—…6์ฐจ์‚ฐ์—…ํ™” ์„ผํ„ฐ 2. ๋ชฉ์  โ–ก ๋†์—…์œผ๋กœ์„œ์˜ ์ง€์†๊ฐ€๋Šฅํ•œ 6์ฐจ์‚ฐ์—…ํ™” ์ •์ฑ… ์ถ”์ง„ ๋ฐฉ์•ˆ โ–ก ์‚ฌ๋ก€๋ฅผ ํ†ตํ•œ ํ•ด์™ธ(์ผ๋ณธ, ์œ ๋Ÿฝ)์˜ 6์ฐจ์‚ฐ์—…ํ™”(๋‹ค๊ธฐ๋Šฅ ๋†์—…) ์ •์ฑ… ๋™ํ–ฅ - ์ดํ›„ ์ƒ๋žต- ์ถฉ๋‚จ ๋†๊ฐ€๊ณต์‹ํ’ˆ ํ•™๊ต๊ธ‰์‹ ์ˆ˜๊ธ‰ ์ง€์›์ •์ฑ… ํ˜„ํ™ฉ - ์ง€์†๊ฐ€๋Šฅํ•œ ํ•™๊ต๊ธ‰์‹ ํ’ˆ์งˆ๊ธฐ์ค€ ๋งˆ๋ จ ์„ค๋ฌธ์กฐ์‚ฌ ๊ฒฐ๊ณผ - ํ•™๊ต๊ธ‰์‹ ์‹์žฌ๋ฃŒ ํ’ˆ์งˆ๊ธฐ์ค€ ๋ฐ ์ง€์—ญ ๊ฐ€๊ณต์‹ํ’ˆ ์†Œ๋น„ ํ™œ์„ฑํ™” - ์ถฉ์ฒญ๋‚จ๋„ ํ•™๊ต๊ธ‰์‹ ์‹์žฌ๋ฃŒ ํ’ˆ์งˆ๊ธฐ์ค€ (๊ณตํ†ต๊ธฐ์ค€ ์•ˆ) - ํ™์„ฑ๊ตฐ ๋กœ์ปฌํ‘ธ๋“œ ํ•™๊ต๊ธ‰์‹์ง€์›์„ผ
    corecore