35 research outputs found

    고속 DRAM μΈν„°νŽ˜μ΄μŠ€λ₯Ό μœ„ν•œ μ „μ•• 및 μ˜¨λ„μ— λ‘”κ°ν•œ 클둝 νŒ¨μŠ€μ™€ μœ„μƒ 였λ₯˜ ꡐ정기 섀계

    Get PDF
    ν•™μœ„λ…Όλ¬Έ (박사) -- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ³΅κ³ΌλŒ€ν•™ 전기·정보곡학뢀, 2021. 2. 정덕균.To cope with problems caused by the high-speed operation of the dynamic random access memory (DRAM) interface, several approaches are proposed that are focused on the clock path of the DRAM. Two delay-locked loop (DLL) based schemes, a forwarded-clock (FC) receiver (RX) with self-tracking loop and a quadrature error corrector, are proposed. Moreover, an open-loop based scheme is presented for drift compensation in the clock distribution. The open-loop scheme consumes less power consumption and reduces design complexity. The FC RX uses DLLs to compensate for voltage and temperature (VT) drift in unmatched memory interfaces. The self-tracking loop consists of two-stage cascaded DLLs to operate in a DRAM environment. With the write training and the proposed DLL, the timing relationship between the data and the sampling clock is always optimal. The proposed scheme compensates for delay drift without relying on data transitions or re-training. The proposed FC RX is fabricated in 65-nm CMOS process and has an active area containing 4 data lanes of 0.0329 mm2. After the write training is completed at the supply voltage of 1 V, the measured timing margin remains larger than 0.31-unit interval (UI) when the supply voltage drifts in the range of 0.94 V and 1.06 V from the training voltage, 1 V. At the data rate of 6.4 Gb/s, the proposed FC RX achieves an energy efficiency of 0.45 pJ/bit. Contrary to the aforementioned scheme, an open-loop-based voltage drift compensation method is proposed to minimize power consumption and occupied area. The overall clock distribution is composed of a current mode logic (CML) path and a CMOS path. In the proposed scheme, the architecture of the CML-to-CMOS converter (C2C) and the inverter is changed to compensate for supply voltage drift. The bias generator provides bias voltages to the C2C and inverters according to supply voltage for delay adjustment. The proposed clock tree is fabricated in 40 nm CMOS process and the active area is 0.004 mm2. When the supply voltage is modulated by a sinusoidal wave with 1 MHz, 100 mV peak-to-peak swing from the center of 1.1 V, applying the proposed scheme reduces the measured root-mean-square (RMS) jitter from 3.77 psRMS to 1.61 psRMS. At 6 GHz output clock, the power consumption of the proposed scheme is 11.02 mW. A DLL-based quadrature error corrector (QEC) with a wide correction range is proposed for the DRAM whose clocks are distributed over several millimeters. The quadrature error is corrected by adjusting delay lines using information from the phase error detector. The proposed error correction method minimizes increased jitter due to phase error correction by setting at least one of the delay lines in the quadrature clock path to the minimum delay. In addition, the asynchronous calibration on-off scheme reduces power consumption after calibration is complete. The proposed QEC is fabricated in 40 nm CMOS process and has an active area of 0.048 mm2. The proposed QEC exhibits a wide correctable error range of 101.6 ps and the remaining phase errors are less than 2.18Β° from 0.8 GHz to 2.3 GHz clock. At 2.3 GHz, the QEC contributes 0.53 psRMS jitter. Also, at 2.3 GHz, the power consumption is reduced from 8.89 mW to 3.39 mW when the calibration is off.λ³Έ λ…Όλ¬Έμ—μ„œλŠ” 동적 랜덀 μ•‘μ„ΈμŠ€ λ©”λͺ¨λ¦¬ (DRAM)의 속도가 증가함에 따라 클둝 νŒ¨μŠ€μ—μ„œ λ°œμƒν•  수 μžˆλŠ” λ¬Έμ œμ— λŒ€μ²˜ν•˜κΈ° μœ„ν•œ μ„Έ 가지 νšŒλ‘œλ“€μ„ μ œμ•ˆν•˜μ˜€λ‹€. μ œμ•ˆν•œ νšŒλ‘œλ“€ 쀑 두 방식듀은 지연동기루프 (delay-locked loop) 방식을 μ‚¬μš©ν•˜μ˜€κ³  λ‚˜λ¨Έμ§€ ν•œ 방식은 면적과 μ „λ ₯ μ†Œλͺ¨λ₯Ό 쀄이기 μœ„ν•΄ μ˜€ν”ˆ 루프 방식을 μ‚¬μš©ν•˜μ˜€λ‹€. DRAM의 λΉ„μ •ν•© μˆ˜μ‹ κΈ° κ΅¬μ‘°μ—μ„œ 데이터 νŒ¨μŠ€μ™€ 클둝 패슀 κ°„μ˜ 지연 뢈일치둜 인해 μ „μ•• 및 μ˜¨λ„ 변화에 따라 μ…‹μ—… νƒ€μž„ 및 ν™€λ“œ νƒ€μž„μ΄ μ€„μ–΄λ“œλŠ” 문제λ₯Ό ν•΄κ²°ν•˜κΈ° μœ„ν•΄ 지연동기루프λ₯Ό μ‚¬μš©ν•˜μ˜€λ‹€. μ œμ•ˆν•œ 지연동기루프 νšŒλ‘œλŠ” DRAM ν™˜κ²½μ—μ„œ λ™μž‘ν•˜λ„λ‘ 두 개의 μ§€μ—°λ™κΈ°λ£¨ν”„λ‘œ λ‚˜λˆ„μ—ˆλ‹€. λ˜ν•œ 초기 μ“°κΈ° ν›ˆλ ¨μ„ 톡해 데이터와 클둝을 타이밍 λ§ˆμ§„ κ΄€μ μ—μ„œ 졜적의 μœ„μΉ˜μ— λ‘˜ 수 μžˆλ‹€. λ”°λΌμ„œ μ œμ•ˆν•˜λŠ” 방식은 데이터 천이 정보가 ν•„μš”ν•˜μ§€ μ•Šλ‹€. 65-nm CMOS 곡정을 μ΄μš©ν•˜μ—¬ λ§Œλ“€μ–΄μ§„ 칩은 6.4 Gb/sμ—μ„œ 0.45 pJ/bit의 μ—λ„ˆμ§€ νš¨μœ¨μ„ 가진닀. λ˜ν•œ 1 Vμ—μ„œ μ“°κΈ° ν›ˆλ ¨ 및 지연동기루프λ₯Ό κ³ μ •μ‹œν‚€κ³  0.94 Vμ—μ„œ 1.06 VκΉŒμ§€ 곡급 전압이 λ°”λ€Œμ—ˆμ„ λ•Œ 타이밍 λ§ˆμ§„μ€ 0.31 UI보닀 큰 값을 μœ μ§€ν•˜μ˜€λ‹€. λ‹€μŒμœΌλ‘œ μ œμ•ˆν•˜λŠ” νšŒλ‘œλŠ” 클둝 뢄포 νŠΈλ¦¬μ—μ„œ μ „μ•• λ³€ν™”λ‘œ 인해 클둝 패슀의 지연이 λ‹¬λΌμ§€λŠ” 것을 μ•žμ„œ μ œμ‹œν•œ 방식과 달리 μ˜€ν”ˆ 루프 λ°©μ‹μœΌλ‘œ λ³΄μƒν•˜μ˜€λ‹€. κΈ°μ‘΄ 클둝 패슀의 인버터와 CML-to-CMOS λ³€ν™˜κΈ°μ˜ ꡬ쑰λ₯Ό λ³€κ²½ν•˜μ—¬ λ°”μ΄μ–΄μŠ€ 생성 νšŒλ‘œμ—μ„œ μƒμ„±ν•œ 곡급 전압에 따라 λ°”λ€ŒλŠ” λ°”μ΄μ–΄μŠ€ 전압을 가지고 지연을 μ‘°μ ˆν•  수 있게 ν•˜μ˜€λ‹€. 40-nm CMOS 곡정을 μ΄μš©ν•˜μ—¬ λ§Œλ“€μ–΄μ§„ 칩의 6 GHz ν΄λ‘μ—μ„œμ˜ μ „λ ₯ μ†Œλͺ¨λŠ” 11.02 mW둜 μΈ‘μ •λ˜μ—ˆλ‹€. 1.1 V μ€‘μ‹¬μœΌλ‘œ 1 MHz, 100 mV 피크 투 피크λ₯Ό κ°€μ§€λŠ” μ‚¬μΈνŒŒ μ„±λΆ„μœΌλ‘œ 곡급 전압을 λ³€μ‘°ν•˜μ˜€μ„ λ•Œ μ œμ•ˆν•œ λ°©μ‹μ—μ„œμ˜ μ§€ν„°λŠ” κΈ°μ‘΄ λ°©μ‹μ˜ 3.77 psRMSμ—μ„œ 1.61 psRMS둜 μ€„μ–΄λ“€μ—ˆλ‹€. DRAM의 솑신기 κ΅¬μ‘°μ—μ„œ 닀쀑 μœ„μƒ 클둝 κ°„μ˜ μœ„μƒ μ˜€μ°¨λŠ” μ†‘μ‹ λœ λ°μ΄ν„°μ˜ 데이터 유효 창을 κ°μ†Œμ‹œν‚¨λ‹€. 이λ₯Ό ν•΄κ²°ν•˜κΈ° μœ„ν•΄ 지연동기루프λ₯Ό λ„μž…ν•˜κ²Œ 되면 μ¦κ°€λœ μ§€μ—°μœΌλ‘œ 인해 μœ„μƒμ΄ κ΅μ •λœ ν΄λ‘μ—μ„œ 지터가 μ¦κ°€ν•œλ‹€. λ³Έ λ…Όλ¬Έμ—μ„œλŠ” μ¦κ°€λœ 지터λ₯Ό μ΅œμ†Œν™”ν•˜κΈ° μœ„ν•΄ μœ„μƒ κ΅μ •μœΌλ‘œ 인해 μ¦κ°€λœ 지연을 μ΅œμ†Œν™”ν•˜λŠ” μœ„μƒ ꡐ정 회둜λ₯Ό μ œμ‹œν•˜μ˜€λ‹€. λ˜ν•œ 유휴 μƒνƒœμ—μ„œ μ „λ ₯ μ†Œλͺ¨λ₯Ό 쀄이기 μœ„ν•΄ μœ„μƒ 였차λ₯Ό κ΅μ •ν•˜λŠ” 회둜λ₯Ό μž…λ ₯ 클둝과 λΉ„λ™κΈ°μ‹μœΌλ‘œ 끌 수 μžˆλŠ” 방법 λ˜ν•œ μ œμ•ˆν•˜μ˜€λ‹€. 40-nm CMOS 곡정을 μ΄μš©ν•˜μ—¬ λ§Œλ“€μ–΄μ§„ 칩의 μœ„μƒ ꡐ정 λ²”μœ„λŠ” 101.6 ps이고 0.8 GHz λΆ€ν„° 2.3 GHzκΉŒμ§€μ˜ λ™μž‘ 주파수 λ²”μœ„μ—μ„œ μœ„μƒ κ΅μ •κΈ°μ˜ 좜λ ₯ 클둝의 μœ„μƒ μ˜€μ°¨λŠ” 2.18°보닀 μž‘λ‹€. μ œμ•ˆν•˜λŠ” μœ„μƒ ꡐ정 회둜둜 인해 μΆ”κ°€λœ μ§€ν„°λŠ” 2.3 GHzμ—μ„œ 0.53 psRMS이고 ꡐ정 회둜λ₯Ό 껐을 λ•Œ μ „λ ₯ μ†Œλͺ¨λŠ” ꡐ정 νšŒλ‘œκ°€ μΌœμ‘Œμ„ λ•ŒμΈ 8.89 mWμ—μ„œ 3.39 mW둜 μ€„μ–΄λ“€μ—ˆλ‹€.Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Thesis Organization 4 Chapter 2 Background on DRAM Interface 5 2.1 Overview 5 2.2 Memory Interface 7 Chapter 3 Background on DLL 11 3.1 Overview 11 3.2 Building Blocks 15 3.2.1 Delay Line 15 3.2.2 Phase Detector 17 3.2.3 Charge Pump 19 3.2.4 Loop filter 20 Chapter 4 Forwarded-Clock Receiver with DLL-based Self-tracking Loop for Unmatched Memory Interfaces 21 4.1 Overview 21 4.2 Proposed Separated DLL 25 4.2.1 Operation of the Proposed Separated DLL 27 4.2.2 Operation of the Digital Loop Filter in DLL 31 4.3 Circuit Implementation 33 4.4 Measurement Results 37 4.4.1 Measurement Setup and Sequence 38 4.4.2 VT Drift Measurement and Simulation 40 Chapter 5 Open-loop-based Voltage Drift Compensation in Clock Distribution 46 5.1 Overview 46 5.2 Prior Works 50 5.3 Voltage Drift Compensation Method 52 5.4 Circuit Implementation 57 5.5 Measurement Results 61 Chapter 6 Quadrature Error Corrector with Minimum Total Delay Tracking 68 6.1 Overview 68 6.2 Prior Works 70 6.3 Quadrature Error Correction Method 73 6.4 Circuit Implementation 82 6.5 Measurement Results 88 Chapter 7 Conclusion 96 Bibliography 98 초둝 102Docto

    이쀑차이뢄석을 μ€‘μ‹¬μœΌλ‘œ

    Get PDF
    ν•™μœ„λ…Όλ¬Έ(석사) -- μ„œμšΈλŒ€ν•™κ΅λŒ€ν•™μ› : ν–‰μ •λŒ€ν•™μ› ν–‰μ •ν•™κ³Ό(정책학전곡), 2022.2. μ •κ΄‘ν˜Έ.This study was conducted to find out the effect of university closure on the local community economy. Changes in the number of businesses before and after school closures and the number of business workers were compared using the Difference-in-Differences and Wilcoxon’s singed-ranks test for areas where university closures occurred and not. The analysis data are a national business survey by the National Statistical Office, and the analysis unit is set at the city, county, and district level. Among them, the analysis period of the difference analysis was 3 years before school closure and 2 years after school closure, and the Wilcoxon code ranking test was simply compared between 2 years ago and 1 year after school closure based on the year of closure. The research hypothesis is that the closure of a university has an effect on the local art, sports and leisure-related service industry, beauty and laundry service industry, wholesale and retail business, restaurant business, and pub businesses. In addition, research hypotheses on whether the closure of universities will adversely affect employment in the region were also verified. The variables that can affect the local economy were considered as regional units, population, elderly population ratio, local government financial independence, whether to move into industrial complexes, and GRDP, and these requirements formed a comparative group similar to the experimental group. Among them, the difference analysis was conducted only with dependent variables and independent variables, and regional units, population, elderly population ratio, local government financial independence, industrial complex occupancy, number of hypermarkets, and GRDP were set as control variables. As a result of conducting difference-in-differences methods analysis without substituting control variables, it was difficult to say that it was statistically significant as a result of inconsistent with the research hypothesis. When the control variable was substituted and analyzed, the number of beauty and laundry service businesses and the number of workers in all businesses were consistent with the research hypothesis, but no statistically significant results were derived. The Wilcoxon’s signed-ranks test results performed for comparison between two years from the time of closure and one year after closure of the school also found that only some of them were significant. If the city, county, and district were not divided and analyzed, the results were not consistent with the research hypothesis, but as a result of subdividing and analyzing by city, county, and district, it was found that there were significant differences in the number of art, sports, and leisure-related service businesses. This is because there was no change in the number of businesses in the comparative group, while there was a difference in the experimental group. However, it was difficult to interpret that the change in the number of businesses and workers by business field was significant. Through this study, the following policy implications could be derived. First, there may be various opinions on the necessity and method of implementing university restructuring, but a careful approach to university closure is needed because there are clearly business areas that affect the economy of the community and have a negative (-) effect on the number of workers. As explicitly stipulated in Article 62 of the Higher Education Act, university closure should be implemented on a limited basis when there are no other means other than closure. Second, since university closure can negatively affect the employment of local communities, it is necessary to decide more carefully on the closure of universities in areas where job losses occur, and if it is inevitable, the local job revitalization support policy should be considered at the same time. Third, support measures after the closure of universities should prioritize community businesses. Fourth, since most of the closed universities have already been negatively affected by the university structural reform evaluation before school closure, the research results do not seem to be consistent with the research hypothesis. Therefore, research is also needed to verify the negative influence of various factors in the process of transitioning to closed schools, such as evaluating university structural reform, on regional economic vitality from the time before school closure. The limitations of this study are as follows. First, since there was a limit to the statistics that could be analyzed, more samples are needed in the future, as statistically significant analysis results were not presented much. Second, a longitudinal study is proposed to remove bias according to the time point setting before and after school closure. Third, it seems that qualitative research will be meaningful as a follow-up study to understand the context of each closed school case.동 μ—°κ΅¬λŠ” λŒ€ν•™ 폐ꡐ가 μ§€μ—­μ‚¬νšŒ κ²½μ œμ— λ―ΈμΉ˜λŠ” 영ν–₯을 μ•Œμ•„λ³΄κΈ° μœ„ν•΄μ„œ μ‹œν–‰ν•˜μ˜€λ‹€. λŒ€ν•™ 폐ꡐ가 μΌμ–΄λ‚œ 지역과 그렇지 μ•Šμ€ 지역에 λŒ€ν•΄ 폐ꡐ μ „ν›„ 사업체 수의 변화와 사업체 μ’…μ‚¬μž 수λ₯Ό 이쀑차이뢄석(Difference-in-Differences)κ³Ό Wilcoxon λΆ€ν˜Έμˆœμœ„ 검정법을 μ΄μš©ν•˜μ—¬ λΉ„κ΅ν•˜μ˜€λ‹€. λΆ„μ„μžλ£ŒλŠ” ν†΅κ³„μ²­μ˜ 전ꡭ사업체쑰사이며, λΆ„μ„λ‹¨μœ„λŠ” μ‹œκ΅°κ΅¬ λ‹¨μœ„λ‘œ μ„€μ •ν•˜μ˜€λ‹€. μ΄μ€‘μ°¨μ΄λΆ„μ„μ˜ 뢄석 기간은 폐ꡐ μ „ 3κ°œλ…„κ³Ό 폐ꡐ ν›„ 2κ°œλ…„κΉŒμ§€λ‘œ 총 6년간이고, Wilcoxon λΆ€ν˜Έμˆœμœ„ 검정은 폐ꡐ연도λ₯Ό κΈ°μ€€μœΌλ‘œ 2λ…„ μ „κ³Ό 폐ꡐ 이후 1년을 λ‹¨μˆœ λΉ„κ΅ν–ˆλ‹€. 연ꡬ가섀은 λŒ€ν•™μ˜ 폐ꡐ가 κ·Έ μ§€μ—­μ˜ 예술, 슀포츠 및 μ—¬κ°€κ΄€λ ¨ μ„œλΉ„μŠ€μ—…, 미용 및 μ„Ένƒμ„œλΉ„μŠ€μ—…, λ„μ†Œλ§€μ—…, μŒμ‹μ μ—… 및 주점업에 λ―ΈμΉ˜λŠ” 영ν–₯이닀. λ˜ν•œ, λŒ€ν•™μ˜ νκ΅λŠ” κ·Έ μ§€μ—­μ˜ κ³ μš©μ—λ„ μ•…μ˜ν–₯을 쀄 것인가에 λŒ€ν•œ 연ꡬ가섀도 κ²€μ¦ν•˜μ˜€λ‹€. μ§€μ—­κ²½μ œμ— 영ν–₯을 λ―ΈμΉ  수 μžˆλŠ” λ³€μˆ˜λ₯Ό μ§€μ—­λ‹¨μœ„, 인ꡬ, κ³ λ ΉμΈκ΅¬λΉ„μœ¨, μ§€λ°©μ •λΆ€μž¬μ •μžλ¦½λ„, 산업단지 μž…μ£Ό μ—¬λΆ€, GRDP둜 보고 이 μš”κ±΄μ΄ μ‹€ν—˜μ§‘λ‹¨κ³Ό μœ μ‚¬ν•œ 비ꡐ집단을 κ΅¬μ„±ν•˜μ˜€λ‹€. 이쀑차이뢄석은 μ’…μ†λ³€μˆ˜μ™€ λ…λ¦½λ³€μˆ˜λ‘œλ§Œ 뢄석해보고, μ§€μ—­μ˜ 경제 ν™œμ„±ν™” 정도에 영ν–₯을 λ―ΈμΉ  수 μžˆλŠ” μ§€μ—­λ‹¨μœ„, 인ꡬ, κ³ λ ΉμΈκ΅¬λΉ„μœ¨, μ§€λ°©μ •λΆ€μž¬μ •μžλ¦½λ„, 산업단지 μž…μ£Ό μ—¬λΆ€, λŒ€ν˜•λ§ˆνŠΈ 수, GRDPλ₯Ό ν†΅μ œλ³€μˆ˜λ‘œ μ„€μ •ν•˜μ—¬μ„œλ„ λΆ„μ„ν•΄λ³΄μ•˜λ‹€. ν†΅μ œλ³€μˆ˜λ₯Ό λŒ€μž…ν•˜μ§€ μ•Šκ³  이쀑차이뢄석을 μ‹œν–‰ν•œ κ²°κ³Ό, 연ꡬ가섀과 μΌμΉ˜ν•˜μ§€ μ•ŠλŠ” κ²°κ³Όλ₯Ό λ‚˜νƒ€λƒˆμœΌλ©°, ν†΅κ³„μ μœΌλ‘œ μœ μ˜λ―Έν•œ 것이라고 λ³΄κΈ°λŠ” μ–΄λ €μ› λ‹€. ν†΅μ œλ³€μˆ˜λ₯Ό λŒ€μž…ν•˜μ—¬ λΆ„μ„ν–ˆμ„ λ•Œ 미용 및 μ„Ένƒμ„œλΉ„μŠ€μ—… 사업체 수, 전체 μ‚¬μ—…μ²΄μ˜ μ’…μ‚¬μž μˆ˜λŠ” 연ꡬ가섀과 μΌμΉ˜ν•˜λŠ” κ²°κ³Όλ₯Ό λ‚˜νƒ€λƒˆμœΌλ‚˜, ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•˜λ‹€λŠ” κ²°κ³ΌλŠ” λ„μΆœλ˜μ§€ μ•Šμ•˜λ‹€. 폐ꡐ μ‹œμ μœΌλ‘œλΆ€ν„° 2λ…„ μ „κ³Ό 폐ꡐ 1λ…„ μ΄ν›„μ˜ 두 μ‹œμ  κ°„ 비ꡐλ₯Ό μœ„ν•΄ μˆ˜ν–‰ν•œ Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • κ²°κ³Ό λ˜ν•œ μΌλΆ€λ§Œ μœ μ˜λ―Έν•œ κ²ƒμœΌλ‘œ λ„μΆœλ˜μ—ˆλ‹€. μ‹œκ΅°κ΅¬λ₯Ό λ‚˜λˆ„μ–΄ λΆ„μ„ν•˜μ§€ μ•Šμ€ κ²½μš°μ—λŠ” 연ꡬ가섀과 μΌμΉ˜ν•˜λŠ” κ²°κ³Όκ°€ λ‚˜νƒ€λ‚˜μ§€ μ•Šμ•˜μœΌλ‚˜, μ‹œκ΅°κ΅¬λ³„λ‘œ μ„ΈλΆ„ν™”ν•˜μ—¬ λΆ„μ„ν•œ κ²°κ³Ό 예술, 슀포츠 및 μ—¬κ°€ κ΄€λ ¨ μ„œλΉ„μŠ€μ—… 사업체 μˆ˜λŠ” 폐ꡐ에 따라 μœ μ˜λ―Έν•œ 차이가 μžˆμ—ˆλ‹€κ³  λ³Ό 수 μžˆμ—ˆλ‹€. λΉ„κ΅μ§‘λ‹¨μ—μ„œλŠ” 사업체 수의 λ³€ν™”κ°€ μ—†μ—ˆλ˜ λ°˜λ©΄μ— μ‹€ν—˜μ§‘λ‹¨μ—μ„œμ˜ 차이가 λ‚˜νƒ€λ‚¬κΈ° λ•Œλ¬Έμ΄λ‹€. κ·ΈλŸ¬λ‚˜ κ·Έ μ™Έ 사업뢄야별 사업체 μˆ˜μ™€ μ’…μ‚¬μž 수의 λ³€ν™”λŠ” μœ μ˜λ―Έν•˜λ‹€κ³  ν•΄μ„ν•˜κΈ° μ–΄λ €μ› λ‹€. 동 연ꡬλ₯Ό 톡해 λ‹€μŒκ³Ό 같은 정책적 μ‹œμ‚¬μ μ„ λ„μΆœν•  수 μžˆμ—ˆλ‹€. 첫째, λŒ€ν•™κ΅¬μ‘°μ‘°μ • μ‹œν–‰μ˜ ν•„μš”μ„±κ³Ό 방식에 λŒ€ν•΄μ„œλŠ” λ‹€μ–‘ν•œ 의견이 μžˆμ„ 수 μžˆμœΌλ‚˜, λŒ€ν•™ 폐ꡐ가 μ§€μ—­μ‚¬νšŒμ˜ κ²½μ œμ— 영ν–₯을 λ―ΈμΉ˜λŠ” μ‚¬μ—…λΆ„μ•ΌλŠ” λΆ„λͺ… μ‘΄μž¬ν•˜κ³  μ’…μ‚¬μž μˆ˜μ—λ„ λΆ€(-)의 영ν–₯을 미치기 λ•Œλ¬Έμ— λŒ€ν•™ 폐ꡐ에 λŒ€ν•΄μ„œλŠ” μ‹ μ€‘ν•œ 접근이 ν•„μš”ν•˜λ‹€. λŒ€ν•™ νκ΅λŠ” κ³ λ“±κ΅μœ‘λ²• 제62쑰에 λͺ…μ‹œμ μœΌλ‘œ κ·œμ •λ˜μ–΄ μžˆλ“―μ΄ 폐ꡐ 이외에 λ‹€λ₯Έ μˆ˜λ‹¨μ΄ μ‘΄μž¬ν•˜μ§€ μ•Šμ„ λ•Œ, μ œν•œμ μœΌλ‘œ μ‹œν–‰ν•΄μ•Ό ν•  것이닀. λ‘˜μ§Έ, λŒ€ν•™ νκ΅λŠ” μ§€μ—­μ‚¬νšŒμ˜ κ³ μš©μ— 뢀정적인 영ν–₯을 λ―ΈμΉ  수 μžˆμœΌλ―€λ‘œ 일자리 κ°μ†Œκ°€ μΌμ–΄λ‚˜λŠ” μ§€μ—­μ—μ„œμ˜ λŒ€ν•™ νκ΅λŠ” λ”μš± μ‹ μ€‘ν•˜κ²Œ κ²°μ •ν•΄μ•Ό ν•  것이며, λΆˆκ°€ν”Όν•˜κ²Œ 폐ꡐλ₯Ό μ‹œν–‰ν•΄μ•Ό ν•  κ²½μš°μ—λŠ” μ§€μ—­μ˜ 일자리 ν™œμ„±ν™” 지원 정책을 λ™μ‹œμ— κ³ λ €ν•˜μ—¬μ•Ό ν•  것이닀. μ…‹μ§Έ, λŒ€ν•™ 폐ꡐ μ΄ν›„μ˜ 지원책은 μ§€μ—­μ‚¬νšŒ 사업체λ₯Ό μš°μ„ μ μœΌλ‘œ 이루어져야 ν•œλ‹€. λ„·μ§Έ, 폐ꡐ된 λŒ€ν•™ 쀑 λŒ€λΆ€λΆ„μ΄ 이미 폐ꡐ 이전뢀터 λŒ€ν•™κ΅¬μ‘°κ°œν˜ν‰κ°€ λ“±μœΌλ‘œ 뢀정적 영ν–₯을 미리 λ°›μ•˜κΈ° λ•Œλ¬Έμ— 연ꡬ결과가 연ꡬ가섀과 λΆ€ν•©ν•˜λŠ” κ²°κ³Όκ°€ λ„μΆœλ˜μ§€ μ•Šμ•˜λ‹€κ³  보인닀. λ”°λΌμ„œ 폐ꡐ 이전 μ‹œμ λΆ€ν„° λŒ€ν•™κ΅¬μ‘°κ°œν˜ 평가 λ“± 폐ꡐ둜 μ΄ν–‰ν•˜λŠ” κ³Όμ •μ—μ„œμ˜ μ—¬λŸ¬ 가지 μš”μΈμ΄ 지역 κ²½μ œν™œλ ₯에 μ μ§„μ μœΌλ‘œ 미친 뢀정적인 영ν–₯λ ₯을 검증할 연ꡬ도 ν•„μš”ν•΄ 보인닀. λ³Έ μ—°κ΅¬μ˜ ν•œκ³„μ μ€ μ•„λž˜μ™€ κ°™λ‹€. 첫째, 뢄석 κ°€λŠ₯ν•œ ν†΅κ³„λŸ‰μ˜ ν•œκ³„κ°€ μžˆμ—ˆμœΌλ―€λ‘œ ν†΅κ³„μ μœΌλ‘œ μœ μ˜λ―Έν•œ 뢄석 κ²°κ³Όλ₯Ό 많이 μ œμ‹œν•˜μ§€ λͺ»ν•œ μ μ—μ„œ ν–₯ν›„ 더 λ§Žμ€ ν‘œλ³Έμ„ ν™•λ³΄ν•œ ν›„ 연ꡬ가 ν•„μš”ν•˜λ‹€. λ‘˜μ§Έ, 폐ꡐ 이전과 이후 μ‹œμ  섀정에 λ”°λ₯Έ 편의(bias)λ₯Ό μ œκ±°ν•˜κΈ° μœ„ν•΄ 쒅단연ꡬλ₯Ό μ œμ•ˆν•œλ‹€. μ…‹μ§Έ, 이와 ν•¨κ»˜ 각 폐ꡐ 사둀에 λŒ€ν•œ λ§₯락을 μ΄ν•΄ν•˜κΈ° μœ„ν•΄ ν›„μ†μ—°κ΅¬λ‘œ μ§ˆμ μ—°κ΅¬λ„ μ˜λ―Έκ°€ μžˆμ„ κ²ƒμœΌλ‘œ 보인닀.제 1 μž₯ μ„œλ‘  1 제 2 μž₯ 이둠적 λ°°κ²½ 및 선행연ꡬ κ²€ν†  5 제 1 절 이둠적 κ³ μ°° 5 1. 정책평가 5 2. λŒ€ν•™ ꡬ쑰쑰정과 λŒ€ν•™ 폐ꡐ μ •μ±… 6 3. 지역 κ²½μ œμ— 영ν–₯을 λ―ΈμΉ˜λŠ” λ³€μˆ˜ 21 제 2 절 선행연ꡬ 24 1. λŒ€ν•™μ΄ μ§€μ—­μ‚¬νšŒμ— λ―ΈμΉ˜λŠ” 영ν–₯에 κ΄€ν•œ 연ꡬ 24 2. λŒ€ν•™κ΅¬μ‘°κ°œν˜ μ •μ±… κ΄€λ ¨ 선행연ꡬ 26 제 3 μž₯ 연ꡬ가섀 및 연ꡬ방법 29 제 1 절 연ꡬ가섀 29 제 2 절 연ꡬ방법 31 1. λΆ„μ„μžλ£Œ 및 뢄석λͺ¨ν˜• 31 2. μ‹€ν—˜μ§‘λ‹¨κ³Ό 비ꡐ집단 ꡬ성 36 3. μΈ‘μ •λ³€μˆ˜ 40 제 4 μž₯ 뢄석결과 48 제 1 절 이쀑차이뢄석 κ²°κ³Ό 48 1. 사업체 수 뢄석 κ²°κ³Ό 48 2. 전체 사업체 μ’…μ‚¬μž 수 뢄석 κ²°κ³Ό 53 3. μ‹œκ΅°κ΅¬λ³„ λŒ€ν•™ μž¬ν•™μƒ 수λ₯Ό λ°˜μ˜ν•œ μΆ”κ°€ 뢄석 54 제 2 절 Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • κ²°κ³Ό 57 1. 사업체 수 뢄석 κ²°κ³Ό 57 2. 전체 사업체 μ’…μ‚¬μž 수 뢄석 κ²°κ³Ό 60 3. μ†Œκ²° 61 제 5 μž₯ κ²°λ‘  64 제 1 절 싀증뢄석 κ²°κ³Ό μš”μ•½ 64 1. 이쀑차이뢄석 결과에 λŒ€ν•œ 뢄석 65 2. Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • 결과에 λŒ€ν•œ 뢄석 66 제 2 절 μ •μ±… μ‹œμ‚¬μ κ³Ό μ œμ–Έ 68 제 3 절 λ³Έ μ—°κ΅¬μ˜ ν•œκ³„ 70 μ°Έκ³ λ¬Έν—Œ 72 Abstract 77석

    μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ—κ²Œ μ œκ³΅ν•œ μ‘κΈ‰μ‹€μ—μ„œμ˜ 지지적 κ°„ν˜Έμ€‘μž¬μ˜ 효과

    Get PDF
    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ°„ν˜Έν•™κ³Ό, 2015. 2. κΉ€μ„±μž¬.μ†Œμ•„ 열성경련은 λŒ€μ²΄μ μœΌλ‘œ μ˜ˆν›„κ°€ 쒋은 μ–‘μ„±μ§ˆν™˜μž„μ—λ„ 외견상 κ·Έ 증상이 맀우 κ²©λ ¬ν•˜μ—¬ μ‚¬μ „μ§€μ‹μ΄λ‚˜ κ²½ν—˜μ΄ μ—†λŠ” ν™˜μ•„ μ–΄λ¨Έλ‹ˆλ“€μ€ μ μ ˆν•œ λŒ€μ²˜κΈ°μ „μ΄ 없이 λΆˆμ•ˆν•œ μƒνƒœλ‘œ μ‘κΈ‰μ‹€λ‘œ λ‚΄μ›ν•˜κ²Œ λœλ‹€. ν™˜μ•„ μ–΄λ¨Έλ‹ˆλŠ” ν™˜μ•„μ˜ μƒνƒœ, μ§ˆν™˜μ— λŒ€ν•œ λΆ€μ‘±ν•œ 지식과 예츑 λΆˆκ°€λŠ₯ν•œ μ§ˆλ³‘μ˜ μ˜ˆν›„ λ“±μœΌλ‘œ μΈν•˜μ—¬ λΆˆν™•μ‹€μ„±μ„ κ²½ν—˜ν•˜κ²Œ λœλ‹€. λΆˆν™•μ‹€μ„±μ€ λΆˆμ•ˆμ„ μƒμŠΉμ‹œν‚€λŠ” μ£Ό μš”μ†Œκ°€ 되며 ν™˜μ•„μ™€ ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ˜ κ°„ν˜Έ κ³Όμ •μ—μ„œ 뢀정적인 영ν–₯을 λ―ΈμΉ  수 μžˆλ‹€. λ¬Έν—Œμ— λ”°λ₯΄λ©΄ μ•„λ™μ˜ μ—΄μ„±κ²½λ ¨μœΌλ‘œ 병원에 λ‚΄μ›ν•˜λŠ” ν™˜μ•„ μ–΄λ¨Έλ‹ˆλ“€μ€ 열성경련에 λŒ€ν•œ 지식이 맀우 λΆ€μ‘±ν•œ μƒνƒœλ‘œ μ§ˆλ³‘μ— λŒ€ν•œ λΆˆν™•μ‹€μ„±μ„ κ²½ν—˜ν•˜λ©° λΆˆμ•ˆμ΄ κ³ μ‘°λ˜μ–΄ μžˆλ‹€. κ΅­λ‚΄μ™Έ μ„ ν–‰μ—°κ΅¬μ—μ„œλŠ” μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆκ°€ κ²½ν—˜ν•˜λŠ” λΆˆν™•μ‹€μ„±κ³Ό λΆˆμ•ˆμ„ κ°μ†Œμ‹œν‚€κΈ° μœ„ν•œ μ§ˆλ³‘μ— λŒ€ν•œ ꡐ윑 및 μ‹¬λ¦¬μ •μ„œμ  κ°„ν˜Έ λ“±μ˜ ν•„μš”μ„±μ— λŒ€ν•΄ μ œμ‹œν•˜κ³  μžˆλ‹€. 이에 λ³Έ μ—°κ΅¬λŠ” μ •μ„œμ  지지와 정보적 지지λ₯Ό ν†΅ν•©ν•˜μ—¬ 지지적 κ°„ν˜Έμ€‘μž¬λ₯Ό ꡬ쑰화 ν•˜μ˜€μœΌλ©° 이λ₯Ό μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ—κ²Œ μ œκ³΅ν•˜μ—¬ κ·Έ 효과λ₯Ό κ²€μ¦ν•˜κ³ μž ν•˜μ˜€λ‹€. 지지적 κ°„ν˜Έμ€‘μž¬λŠ” κ΄€λ ¨ λ¬Έν—Œκ³Ό 선행연ꡬλ₯Ό ν† λŒ€λ‘œ 10λΆ„μ˜ 정보적 지지와 10λΆ„μ˜ μ •μ„œμ  μ§€μ§€λ‘œ κ΅¬μ„±ν•˜μ˜€κ³  정보적 μ§€μ§€λŠ” 자체 μ œμž‘ν•œ ꡐ윑용 λ¦¬ν”Œλ ›μ„ μ‚¬μš©ν•˜μ—¬ μ œκ³΅ν•˜μ˜€κ³ , μ •μ„œμ  μ§€μ§€λŠ” μ΄μ™„μš”λ²•μ„ μ€‘μ‹¬μœΌλ‘œ μˆ˜ν–‰ν•˜μ˜€λ‹€. 비동등성 λŒ€μ‘°κ΅° μ „ν›„ μ‹œμ°¨μ„€κ³„ μœ μ‚¬μ‹€ν—˜ μ—°κ΅¬λ‘œ μ„œμšΈμ‹œμ— μžˆλŠ” S 쒅합병원 μ†Œμ•„μ‘κΈ‰μ‹€μ— λ‚΄μ›ν•˜λŠ” μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆλ₯Ό λŒ€μƒμœΌλ‘œ μ§„ν–‰ν•˜μ˜€λ‹€. μžλ£Œμˆ˜μ§‘κΈ°κ°„μ€ 2014λ…„ 7μ›” 21일뢀터 2014λ…„ 10μ›” 25μΌκΉŒμ§€μ˜€λ‹€. μ‹€ν—˜κ΅° 23λͺ…μ—κ²ŒλŠ” λΆˆν™•μ‹€μ„±κ³Ό λΆˆμ•ˆμ„ κ°μ†Œμ‹œν‚€κ³  μ—΄μ„±κ²½λ ¨ λŒ€μ²˜λŠ₯λ ₯을 ν–₯μƒμ‹œν‚€κΈ° μœ„ν•˜μ—¬ 지지적 κ°„ν˜Έμ€‘μž¬λ₯Ό μ œκ³΅ν•˜μ˜€κ³  λŒ€μ‘°κ΅° 21λͺ…μ—κ²ŒλŠ” 일반적인 κ°„ν˜Έμ€‘μž¬λ§Œ μ œκ³΅λ˜μ—ˆλ‹€. μ†Œμ•„μ‘κΈ‰μ‹€μ— 내원 ν›„ 40λΆ„ 이내에 일반적 νŠΉμ„±κ³Ό 사전쑰사λ₯Ό μ‹œν–‰ν•˜μ˜€λ‹€. ν™˜μ•„ μ–΄λ¨Έλ‹ˆκ°€ κ²½ν—˜ν•˜λŠ” λΆˆν™•μ‹€μ„±μ€ PPUS척도, ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ˜ λΆˆμ•ˆμ€ STAI 척도λ₯Ό μ΄μš©ν•˜μ˜€κ³  ν™˜μ•„μ˜ λΆˆμ•ˆμ€ PBCL 척도, ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ˜ μ—΄μ„±κ²½λ ¨ λŒ€μ²˜λŠ₯λ ₯은 Huang λ“±μ˜ μ—΄μ„±κ²½λ ¨ 관리방법 척도λ₯Ό μ΄μš©ν•˜μ—¬ μΈ‘μ •ν•˜μ˜€λ‹€. μˆ˜μ§‘λœ μžλ£ŒλŠ” 톡계 ν”„λ‘œκ·Έλž¨μΈ SPSS WIN 21.0을 μ΄μš©ν•˜μ—¬ λΆ„μ„ν•˜μ˜€λ‹€. 일반적 νŠΉμ„±μ€ μ‹€μˆ˜μ™€ λ°±λΆ„μœ¨μ„ μ΄μš©ν•˜μ—¬ Chi-square test와 Fisher's exact test둜 λΆ„μ„ν•˜μ˜€κ³ , 연ꡬ가섀 검증은 λ…λ¦½ν‘œλ³Έ t-test둜 λΆ„μ„ν•˜μ˜€λ‹€. μΈ‘μ • λ„κ΅¬μ˜ 신뒰도 검정은 Cronbach's alpha κ³„μˆ˜λ‘œ μ‚°μΆœν•˜μ˜€κ³  λͺ¨λ“  ν†΅κ³„μ˜ μœ μ˜μˆ˜μ€€μ€ 5%(Ξ±= .05, p< .05)둜 ν•˜μ˜€λ‹€. λ³Έ μ—°κ΅¬μ˜ κ²°κ³Όλ₯Ό μš”μ•½ν•˜λ©΄ λ‹€μŒκ³Ό κ°™λ‹€. 1. 연ꡬ κ°€μ„€ 1의 지지적 κ°„ν˜Έμ€‘μž¬κ°€ 제곡된 μ‹€ν—˜κ΅°μ€ λŒ€μ‘°κ΅°μ— λΉ„ν•΄ λΆˆν™•μ‹€μ„± μ μˆ˜κ°€ κ°μ†Œν•  κ²ƒμ΄λ‹€λŠ” μ‹€ν—˜κ΅°μ˜ λΆˆν™•μ‹€μ„± μ μˆ˜κ°€ ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•œ κ°μ†Œλ₯Ό 보여 μ§€μ§€λ˜μ—ˆλ‹€(t=11.017, p< .001). 2. 연ꡬ κ°€μ„€ 2의 지지적 κ°„ν˜Έμ€‘μž¬κ°€ 제곡된 μ‹€ν—˜κ΅°μ€ λŒ€μ‘°κ΅°μ— λΉ„ν•΄ λΆˆμ•ˆ μ μˆ˜κ°€ κ°μ†Œν•  κ²ƒμ΄λ‹€λŠ” μ‹€ν—˜κ΅°μ˜ λΆˆμ•ˆ μ μˆ˜κ°€ ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•œ κ°μ†Œλ₯Ό 보여 μ§€μ§€λ˜μ—ˆλ‹€(t=14.68, p< .001). 3. 연ꡬ κ°€μ„€ 3의 지지적 κ°„ν˜Έμ€‘μž¬κ°€ 제곡된 μ‹€ν—˜κ΅° ν™˜μ•„λŠ” λŒ€μ‘°κ΅° ν™˜μ•„μ— λΉ„ν•΄ λΆˆμ•ˆ μ μˆ˜κ°€ κ°μ†Œν•  κ²ƒμ΄λ‹€λŠ” μ‹€ν—˜κ΅° ν™˜μ•„μ˜ λΆˆμ•ˆ μ μˆ˜κ°€ ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•œ κ°μ†Œλ₯Ό 보여 μ§€μ§€λ˜μ—ˆλ‹€(t=3.231, p= .002). 4. 연ꡬ κ°€μ„€ 4의 지지적 κ°„ν˜Έμ€‘μž¬κ°€ 제곡된 μ‹€ν—˜κ΅°μ€ λŒ€μ‘°κ΅°μ— λΉ„ν•΄ λŒ€μ²˜λŠ₯λ ₯ μ μˆ˜κ°€ μƒμŠΉν•  κ²ƒμ΄λ‹€λŠ” μ‹€ν—˜κ΅°μ˜ λŒ€μ²˜λŠ₯λ ₯ μ μˆ˜κ°€ ν†΅κ³„μ μœΌλ‘œ 더 λ†’κ²Œ μΈ‘μ •λ˜μ–΄ μ§€μ§€λ˜μ—ˆλ‹€(t=-5.65, p< .001). 이와 같이, λ³Έ μ—°κ΅¬μ—μ„œ μ‹œν–‰ν•œ 지지적 κ°„ν˜Έμ€‘μž¬λŠ” μ†Œμ•„μ‘κΈ‰μ‹€μ— λ‚΄μ›ν•œ μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆκ°€ κ²½ν—˜ν•˜λŠ” λΆˆν™•μ‹€μ„±κ³Ό λΆˆμ•ˆμ„ κ°μ†Œμ‹œν‚€κ³  μ—΄μ„±κ²½λ ¨ λŒ€μ²˜λŠ₯λ ₯ μƒμŠΉμ˜ νš¨κ³Όκ°€ 있으며 ν™˜μ•„κ°€ κ²½ν—˜ν•˜λŠ” λΆˆμ•ˆ κ°μ†Œμ—λ„ νš¨κ³Όμ μ΄λ‹€. λ³Έ μ—°κ΅¬λŠ” κ°„ν˜Έμ‚¬κ°€ κ°œλ°œν•˜κ³  μ μš©ν•œ κ°„ν˜Έμ€‘μž¬ ν”„λ‘œκ·Έλž¨μ„ 톡해 연ꡬ λŒ€μƒμžλ“€μ΄ κ²½ν—˜ν•˜λŠ” μ§ˆλ³‘μ— λŒ€ν•œ λΆˆν™•μ‹€μ„±κ³Ό λΆˆμ•ˆ κ°μ†Œλ₯Ό ν™•μΈν•˜κ³  κ·Έ μ§ˆλ³‘μ— λŒ€ν•œ λŒ€μ²˜λŠ₯λ ₯이 ν–₯상됨을 ν™•μΈν•˜μ˜€λ‹€λŠ” μ μ—μ„œ κ°„ν˜Έν•™μ μœΌλ‘œ μ˜μ˜κ°€ μžˆλ‹€. μ΄λŠ” μΆ”ν›„ μ†Œμ•„μ‘κΈ‰μ‹€μ— λ‚΄μ›ν•˜λŠ” μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆλ₯Ό μœ„ν•œ μž„μƒ ν”„λ‘œν† μ½œ 개발의 근거둜 ν™œμš©λ˜μ–΄ ν™˜μ•„ μ–΄λ¨Έλ‹ˆκ°€ κ²½ν—˜ν•˜λŠ” λΆˆν™•μ‹€μ„±, λΆˆμ•ˆ κ°μ†Œμ™€ λ”λΆˆμ–΄ μ•„λ™μ˜ λΆˆμ•ˆ κ°μ†Œμ— 효과적으둜 κΈ°μ—¬ν•  수 μžˆμ„ 것이닀.ꡭ문초둝 β…° β… . μ„œ λ‘  1 1. μ—°κ΅¬μ˜ ν•„μš”μ„± 1 2. 연ꡬ λͺ©μ  5 3. μš©μ–΄μ˜ μ •μ˜ 6 β…‘. λ¬Έ ν—Œ κ³  μ°° 8 1. μ†Œμ•„ μ—΄μ„±κ²½λ ¨ 8 2. ν™˜μ•„ μ–΄λ¨Έλ‹ˆμ˜ μ§ˆλ³‘μ— λŒ€ν•œ λΆˆν™•μ‹€μ„± 11 3. 뢈 μ•ˆ 13 1) ν™˜μ•„ μ–΄λ¨Έλ‹ˆκ°€ κ²½ν—˜ν•˜λŠ” λΆˆμ•ˆ 13 2) ν™˜μ•„κ°€ κ²½ν—˜ν•˜λŠ” λΆˆμ•ˆ 17 4. 지지적 κ°„ν˜Έμ€‘μž¬ 19 5. μ‘κΈ‰μ‹€μ—μ„œμ˜ κ°„ν˜Έμ€‘μž¬ 21 β…’. 이둠적 κΈ°ν‹€ 25 1. κ°œλ…μ  κΈ°ν‹€ 25 2. 연ꡬ κ°€μ„€ 28 β…£. μ—° ꡬ λ°© 법 29 1. 연ꡬ 섀계 29 2. 연ꡬ λŒ€μƒ 30 3. μ—°κ΅¬μ˜ 윀리적 μΈ‘λ©΄ 31 4. 연ꡬ 도ꡬ 31 5. μ€‘μž¬ 방법 – 지지적 κ°„ν˜Έμ€‘μž¬ 33 6. 자료 μˆ˜μ§‘ 방법 38 7. 자료 뢄석 방법 38 β…€. μ—° ꡬ κ²° κ³Ό 39 1. μ‹€ν—˜κ΅°κ³Ό λŒ€μ‘°κ΅°μ˜ 일반적 νŠΉμ„± 39 2. κ°€μ„€ 검증 44 β…₯. λ…Ό 의 47 1. 지지적 κ°„ν˜Έμ€‘μž¬μ˜ 효과 47 2. μ—΄μ„±κ²½λ ¨ ν™˜μ•„ μ–΄λ¨Έλ‹ˆλ₯Ό μœ„ν•œ 지지적 κ°„ν˜Έμ€‘μž¬μ˜ μž„μƒμ μš© 56 3. κ°„ν˜Έν•™μ  의의 61 4. μ—°κ΅¬μ˜ μ œν•œμ  62 β…¦. κ²°λ‘  및 μ œμ–Έ 64 μ°Έκ³ λ¬Έν—Œ 67 뢀둝 78 Abstract 98Maste

    당뇨μ₯μ—μ„œ 비타민 E와 비타민 C 보강이 κ°„κ³Ό 췌μž₯ 쑰직의 ν•­μ‚°ν™” ν™œμ„±μ— λ―ΈμΉ˜λŠ” 영ν–₯

    No full text
    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μ‹ν’ˆμ˜μ–‘ν•™κ³Ό,1996.Maste

    6xHisκ°€ Tagging된 rOAT3의 Cloningκ³Ό HEK293 Cellsμ—μ„œμ˜ Expression

    No full text
    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μ œμ•½ν•™κ³Ό μ•½μ œκ³Όν•™μ „κ³΅,2004.Maste

    μ „λ ₯선톡신 κ°€μΉ˜ν‰κ°€λ₯Ό ν†΅ν•œ ν†΅μ‹ ν•˜λΆ€κ΅¬μ‘°λ§ μ§„ν™”μ „λž΅μ— κ΄€ν•œ 연ꡬ : ν™ˆλ„€νŠΈμ›Œν‚Ήμ„ ν†΅ν•œ ν•œκ΅­μ˜ κ°€μž…μž 망 μ§„ν™”μ „λž΅μ„ μ€‘μ‹¬μœΌλ‘œ

    No full text
    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :ν˜‘λ™κ³Όμ • κΈ°μˆ μ •μ±…μ „κ³΅,2004.Maste

    Electrochemical and mechanical properties of LiMn2O4 according to particle morphology

    No full text
    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 화학생물곡학뢀, 2015. 2. 였승λͺ¨.Lithium-ion battery (LIB) is currently used as a power source in mobile devices and electric vehicles. One of the requirements for those uses is high volumetric energy density and it can be realized by a step in electrode making process called pressing. Pressing can, however, damage active materials with the high pressure applied to them, and this particle breakage phenomenon can cause side effects in LIBs. In this work, the effect of pressing on particle breakage and LIB performance is studied. Active material used in this study is spinel structured LiMn2O4. Using LiMn2O4 it was confirmed from FE-SEM image, high temperature cycle and storage performance that pressing can induce particle breakage and it can degrade cell performance. To alleviate this problem, the relation between particle morphology and breaking property was studied. First the effect of morphology was checked in the level of particle by micro compression test. A criterion established from hard carbon system was used to interpret the results of micro compression test. As a result, spherical LiMn2O4 showed more resistance to breakage based on the criterion. Next, the experiment was performed for electrodes. Electrodes whose active materials are either spherical or non-spherical LiMn2O4s were compared based on FE-SEM images and high temperature storage test. The result agreed with that of micro compression test, showing that spherical LiMn2O4s are more resistant to breakage during pressing and preferable also in respect of electrode performance. This study has found that particle breakage during pressing should be considered an important factor in LIB using LiMn2O4 as active material and morphology control can handle this problem. Micro compression test was suggested as a tool for studying mechanical properties of LIB active materials with proper criteria. It is expected that the results and methodologies used in the study can also be used for various active materials other than spinel LiMn2O4.Abstract i List of Figures iii List of Tables v 1. Introduction 1 2. Background 3 2.1. Fundamentals of lithium-ion batteries 3 2.2. Components of lithium ion batteries 5 2.2.1. Negative electrode materials 5 2.2.1.1. Carbonaceous materials 6 2.2.1.2. Li-alloy materials 7 2.2.2. Positive electrode materials 8 2.2.2.1. Layered structure 8 2.2.2.2. Spinel structure 9 2.2.2.3. Olivine structure 11 2.2.3. Electrolyte 11 2.2.3.1. Organic electrolyte 11 2.2.3.2. Polymer electrolyte 12 3. Experimental 13 3.1. Fabrication of electrode 13 3.2. Fabrication of coin-type cell 14 3.3. Charge-discharge cycling test 14 3.4. Electrode storage test 15 3.5. Synthesis of hard carbon 15 3.5.1. Synthesis of spherical hard carbon 17 3.5.2. Synthesis of non-spherical hard carbon 17 3.6. Micro compression test 18 3.7. Other instrument and analysis method 20 4. Results and discussions 21 4.1. Effect of electrode pressing on LiMn2O4 electrode 21 4.1.1. Confirmation of particle breakage induced by pressing 21 4.1.2. Effect of particle breakage on electrochemical properties at high temperature 24 4.1.3. Effect of particle breakage on manganese dissolution after storage at high temperature 27 4.2. Establishing criterion for breaking property under compression 28 4.2.1 Suggestion of the criterion for breaking property 30 4.2.2 Verification of the criterion for constant Ξ± and St 31 4.2.3 Verification of the criterion for different values of St 34 4.2.4 Verification of the criterion for different values of Ξ± 34 4.3. Effect of morphology on breakage of LiMn2O4 particle under compression 40 4.3.1. Micro compression test on LiMn2O4 particles according to its morphology 40 4.3.2. Effect of morphology on breakage of LiMn2O4 particles in electrode 43 5. Conclusions 47 References 48 Abstract (Korean) 50Maste

    (A) Study on The Policy of Supporting Self-reliance for Victim of Domestic Violence : Focusing on the Long-term Domestic Violence Shelter

    No full text
    ν•™μœ„λ…Όλ¬Έ(석사) --μ„œμšΈλŒ€ν•™κ΅ ν–‰μ •λŒ€ν•™μ› :ν–‰μ •ν•™κ³Ό(정책학전곡),2010.2.Maste

    이쀑차이뢄석을 μ€‘μ‹¬μœΌλ‘œ

    Get PDF
    This study was conducted to find out the effect of university closure on the local community economy. Changes in the number of businesses before and after school closures and the number of business workers were compared using the Difference-in-Differences and Wilcoxon’s singed-ranks test for areas where university closures occurred and not. The analysis data are a national business survey by the National Statistical Office, and the analysis unit is set at the city, county, and district level. Among them, the analysis period of the difference analysis was 3 years before school closure and 2 years after school closure, and the Wilcoxon code ranking test was simply compared between 2 years ago and 1 year after school closure based on the year of closure. The research hypothesis is that the closure of a university has an effect on the local art, sports and leisure-related service industry, beauty and laundry service industry, wholesale and retail business, restaurant business, and pub businesses. In addition, research hypotheses on whether the closure of universities will adversely affect employment in the region were also verified. The variables that can affect the local economy were considered as regional units, population, elderly population ratio, local government financial independence, whether to move into industrial complexes, and GRDP, and these requirements formed a comparative group similar to the experimental group. Among them, the difference analysis was conducted only with dependent variables and independent variables, and regional units, population, elderly population ratio, local government financial independence, industrial complex occupancy, number of hypermarkets, and GRDP were set as control variables. As a result of conducting difference-in-differences methods analysis without substituting control variables, it was difficult to say that it was statistically significant as a result of inconsistent with the research hypothesis. When the control variable was substituted and analyzed, the number of beauty and laundry service businesses and the number of workers in all businesses were consistent with the research hypothesis, but no statistically significant results were derived. The Wilcoxon’s signed-ranks test results performed for comparison between two years from the time of closure and one year after closure of the school also found that only some of them were significant. If the city, county, and district were not divided and analyzed, the results were not consistent with the research hypothesis, but as a result of subdividing and analyzing by city, county, and district, it was found that there were significant differences in the number of art, sports, and leisure-related service businesses. This is because there was no change in the number of businesses in the comparative group, while there was a difference in the experimental group. However, it was difficult to interpret that the change in the number of businesses and workers by business field was significant. Through this study, the following policy implications could be derived. First, there may be various opinions on the necessity and method of implementing university restructuring, but a careful approach to university closure is needed because there are clearly business areas that affect the economy of the community and have a negative (-) effect on the number of workers. As explicitly stipulated in Article 62 of the Higher Education Act, university closure should be implemented on a limited basis when there are no other means other than closure. Second, since university closure can negatively affect the employment of local communities, it is necessary to decide more carefully on the closure of universities in areas where job losses occur, and if it is inevitable, the local job revitalization support policy should be considered at the same time. Third, support measures after the closure of universities should prioritize community businesses. Fourth, since most of the closed universities have already been negatively affected by the university structural reform evaluation before school closure, the research results do not seem to be consistent with the research hypothesis. Therefore, research is also needed to verify the negative influence of various factors in the process of transitioning to closed schools, such as evaluating university structural reform, on regional economic vitality from the time before school closure. The limitations of this study are as follows. First, since there was a limit to the statistics that could be analyzed, more samples are needed in the future, as statistically significant analysis results were not presented much. Second, a longitudinal study is proposed to remove bias according to the time point setting before and after school closure. Third, it seems that qualitative research will be meaningful as a follow-up study to understand the context of each closed school case.동 μ—°κ΅¬λŠ” λŒ€ν•™ 폐ꡐ가 μ§€μ—­μ‚¬νšŒ κ²½μ œμ— λ―ΈμΉ˜λŠ” 영ν–₯을 μ•Œμ•„λ³΄κΈ° μœ„ν•΄μ„œ μ‹œν–‰ν•˜μ˜€λ‹€. λŒ€ν•™ 폐ꡐ가 μΌμ–΄λ‚œ 지역과 그렇지 μ•Šμ€ 지역에 λŒ€ν•΄ 폐ꡐ μ „ν›„ 사업체 수의 변화와 사업체 μ’…μ‚¬μž 수λ₯Ό 이쀑차이뢄석(Difference-in-Differences)κ³Ό Wilcoxon λΆ€ν˜Έμˆœμœ„ 검정법을 μ΄μš©ν•˜μ—¬ λΉ„κ΅ν•˜μ˜€λ‹€. λΆ„μ„μžλ£ŒλŠ” ν†΅κ³„μ²­μ˜ 전ꡭ사업체쑰사이며, λΆ„μ„λ‹¨μœ„λŠ” μ‹œκ΅°κ΅¬ λ‹¨μœ„λ‘œ μ„€μ •ν•˜μ˜€λ‹€. μ΄μ€‘μ°¨μ΄λΆ„μ„μ˜ 뢄석 기간은 폐ꡐ μ „ 3κ°œλ…„κ³Ό 폐ꡐ ν›„ 2κ°œλ…„κΉŒμ§€λ‘œ 총 6년간이고, Wilcoxon λΆ€ν˜Έμˆœμœ„ 검정은 폐ꡐ연도λ₯Ό κΈ°μ€€μœΌλ‘œ 2λ…„ μ „κ³Ό 폐ꡐ 이후 1년을 λ‹¨μˆœ λΉ„κ΅ν–ˆλ‹€. 연ꡬ가섀은 λŒ€ν•™μ˜ 폐ꡐ가 κ·Έ μ§€μ—­μ˜ 예술, 슀포츠 및 μ—¬κ°€κ΄€λ ¨ μ„œλΉ„μŠ€μ—…, 미용 및 μ„Ένƒμ„œλΉ„μŠ€μ—…, λ„μ†Œλ§€μ—…, μŒμ‹μ μ—… 및 주점업에 λ―ΈμΉ˜λŠ” 영ν–₯이닀. λ˜ν•œ, λŒ€ν•™μ˜ νκ΅λŠ” κ·Έ μ§€μ—­μ˜ κ³ μš©μ—λ„ μ•…μ˜ν–₯을 쀄 것인가에 λŒ€ν•œ 연ꡬ가섀도 κ²€μ¦ν•˜μ˜€λ‹€. μ§€μ—­κ²½μ œμ— 영ν–₯을 λ―ΈμΉ  수 μžˆλŠ” λ³€μˆ˜λ₯Ό μ§€μ—­λ‹¨μœ„, 인ꡬ, κ³ λ ΉμΈκ΅¬λΉ„μœ¨, μ§€λ°©μ •λΆ€μž¬μ •μžλ¦½λ„, 산업단지 μž…μ£Ό μ—¬λΆ€, GRDP둜 보고 이 μš”κ±΄μ΄ μ‹€ν—˜μ§‘λ‹¨κ³Ό μœ μ‚¬ν•œ 비ꡐ집단을 κ΅¬μ„±ν•˜μ˜€λ‹€. 이쀑차이뢄석은 μ’…μ†λ³€μˆ˜μ™€ λ…λ¦½λ³€μˆ˜λ‘œλ§Œ 뢄석해보고, μ§€μ—­μ˜ 경제 ν™œμ„±ν™” 정도에 영ν–₯을 λ―ΈμΉ  수 μžˆλŠ” μ§€μ—­λ‹¨μœ„, 인ꡬ, κ³ λ ΉμΈκ΅¬λΉ„μœ¨, μ§€λ°©μ •λΆ€μž¬μ •μžλ¦½λ„, 산업단지 μž…μ£Ό μ—¬λΆ€, λŒ€ν˜•λ§ˆνŠΈ 수, GRDPλ₯Ό ν†΅μ œλ³€μˆ˜λ‘œ μ„€μ •ν•˜μ—¬μ„œλ„ λΆ„μ„ν•΄λ³΄μ•˜λ‹€. ν†΅μ œλ³€μˆ˜λ₯Ό λŒ€μž…ν•˜μ§€ μ•Šκ³  이쀑차이뢄석을 μ‹œν–‰ν•œ κ²°κ³Ό, 연ꡬ가섀과 μΌμΉ˜ν•˜μ§€ μ•ŠλŠ” κ²°κ³Όλ₯Ό λ‚˜νƒ€λƒˆμœΌλ©°, ν†΅κ³„μ μœΌλ‘œ μœ μ˜λ―Έν•œ 것이라고 λ³΄κΈ°λŠ” μ–΄λ €μ› λ‹€. ν†΅μ œλ³€μˆ˜λ₯Ό λŒ€μž…ν•˜μ—¬ λΆ„μ„ν–ˆμ„ λ•Œ 미용 및 μ„Ένƒμ„œλΉ„μŠ€μ—… 사업체 수, 전체 μ‚¬μ—…μ²΄μ˜ μ’…μ‚¬μž μˆ˜λŠ” 연ꡬ가섀과 μΌμΉ˜ν•˜λŠ” κ²°κ³Όλ₯Ό λ‚˜νƒ€λƒˆμœΌλ‚˜, ν†΅κ³„μ μœΌλ‘œ μœ μ˜ν•˜λ‹€λŠ” κ²°κ³ΌλŠ” λ„μΆœλ˜μ§€ μ•Šμ•˜λ‹€. 폐ꡐ μ‹œμ μœΌλ‘œλΆ€ν„° 2λ…„ μ „κ³Ό 폐ꡐ 1λ…„ μ΄ν›„μ˜ 두 μ‹œμ  κ°„ 비ꡐλ₯Ό μœ„ν•΄ μˆ˜ν–‰ν•œ Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • κ²°κ³Ό λ˜ν•œ μΌλΆ€λ§Œ μœ μ˜λ―Έν•œ κ²ƒμœΌλ‘œ λ„μΆœλ˜μ—ˆλ‹€. μ‹œκ΅°κ΅¬λ₯Ό λ‚˜λˆ„μ–΄ λΆ„μ„ν•˜μ§€ μ•Šμ€ κ²½μš°μ—λŠ” 연ꡬ가섀과 μΌμΉ˜ν•˜λŠ” κ²°κ³Όκ°€ λ‚˜νƒ€λ‚˜μ§€ μ•Šμ•˜μœΌλ‚˜, μ‹œκ΅°κ΅¬λ³„λ‘œ μ„ΈλΆ„ν™”ν•˜μ—¬ λΆ„μ„ν•œ κ²°κ³Ό 예술, 슀포츠 및 μ—¬κ°€ κ΄€λ ¨ μ„œλΉ„μŠ€μ—… 사업체 μˆ˜λŠ” 폐ꡐ에 따라 μœ μ˜λ―Έν•œ 차이가 μžˆμ—ˆλ‹€κ³  λ³Ό 수 μžˆμ—ˆλ‹€. λΉ„κ΅μ§‘λ‹¨μ—μ„œλŠ” 사업체 수의 λ³€ν™”κ°€ μ—†μ—ˆλ˜ λ°˜λ©΄μ— μ‹€ν—˜μ§‘λ‹¨μ—μ„œμ˜ 차이가 λ‚˜νƒ€λ‚¬κΈ° λ•Œλ¬Έμ΄λ‹€. κ·ΈλŸ¬λ‚˜ κ·Έ μ™Έ 사업뢄야별 사업체 μˆ˜μ™€ μ’…μ‚¬μž 수의 λ³€ν™”λŠ” μœ μ˜λ―Έν•˜λ‹€κ³  ν•΄μ„ν•˜κΈ° μ–΄λ €μ› λ‹€. 동 연ꡬλ₯Ό 톡해 λ‹€μŒκ³Ό 같은 정책적 μ‹œμ‚¬μ μ„ λ„μΆœν•  수 μžˆμ—ˆλ‹€. 첫째, λŒ€ν•™κ΅¬μ‘°μ‘°μ • μ‹œν–‰μ˜ ν•„μš”μ„±κ³Ό 방식에 λŒ€ν•΄μ„œλŠ” λ‹€μ–‘ν•œ 의견이 μžˆμ„ 수 μžˆμœΌλ‚˜, λŒ€ν•™ 폐ꡐ가 μ§€μ—­μ‚¬νšŒμ˜ κ²½μ œμ— 영ν–₯을 λ―ΈμΉ˜λŠ” μ‚¬μ—…λΆ„μ•ΌλŠ” λΆ„λͺ… μ‘΄μž¬ν•˜κ³  μ’…μ‚¬μž μˆ˜μ—λ„ λΆ€(-)의 영ν–₯을 미치기 λ•Œλ¬Έμ— λŒ€ν•™ 폐ꡐ에 λŒ€ν•΄μ„œλŠ” μ‹ μ€‘ν•œ 접근이 ν•„μš”ν•˜λ‹€. λŒ€ν•™ νκ΅λŠ” κ³ λ“±κ΅μœ‘λ²• 제62쑰에 λͺ…μ‹œμ μœΌλ‘œ κ·œμ •λ˜μ–΄ μžˆλ“―μ΄ 폐ꡐ 이외에 λ‹€λ₯Έ μˆ˜λ‹¨μ΄ μ‘΄μž¬ν•˜μ§€ μ•Šμ„ λ•Œ, μ œν•œμ μœΌλ‘œ μ‹œν–‰ν•΄μ•Ό ν•  것이닀. λ‘˜μ§Έ, λŒ€ν•™ νκ΅λŠ” μ§€μ—­μ‚¬νšŒμ˜ κ³ μš©μ— 뢀정적인 영ν–₯을 λ―ΈμΉ  수 μžˆμœΌλ―€λ‘œ 일자리 κ°μ†Œκ°€ μΌμ–΄λ‚˜λŠ” μ§€μ—­μ—μ„œμ˜ λŒ€ν•™ νκ΅λŠ” λ”μš± μ‹ μ€‘ν•˜κ²Œ κ²°μ •ν•΄μ•Ό ν•  것이며, λΆˆκ°€ν”Όν•˜κ²Œ 폐ꡐλ₯Ό μ‹œν–‰ν•΄μ•Ό ν•  κ²½μš°μ—λŠ” μ§€μ—­μ˜ 일자리 ν™œμ„±ν™” 지원 정책을 λ™μ‹œμ— κ³ λ €ν•˜μ—¬μ•Ό ν•  것이닀. μ…‹μ§Έ, λŒ€ν•™ 폐ꡐ μ΄ν›„μ˜ 지원책은 μ§€μ—­μ‚¬νšŒ 사업체λ₯Ό μš°μ„ μ μœΌλ‘œ 이루어져야 ν•œλ‹€. λ„·μ§Έ, 폐ꡐ된 λŒ€ν•™ 쀑 λŒ€λΆ€λΆ„μ΄ 이미 폐ꡐ 이전뢀터 λŒ€ν•™κ΅¬μ‘°κ°œν˜ν‰κ°€ λ“±μœΌλ‘œ 뢀정적 영ν–₯을 미리 λ°›μ•˜κΈ° λ•Œλ¬Έμ— 연ꡬ결과가 연ꡬ가섀과 λΆ€ν•©ν•˜λŠ” κ²°κ³Όκ°€ λ„μΆœλ˜μ§€ μ•Šμ•˜λ‹€κ³  보인닀. λ”°λΌμ„œ 폐ꡐ 이전 μ‹œμ λΆ€ν„° λŒ€ν•™κ΅¬μ‘°κ°œν˜ 평가 λ“± 폐ꡐ둜 μ΄ν–‰ν•˜λŠ” κ³Όμ •μ—μ„œμ˜ μ—¬λŸ¬ 가지 μš”μΈμ΄ 지역 κ²½μ œν™œλ ₯에 μ μ§„μ μœΌλ‘œ 미친 뢀정적인 영ν–₯λ ₯을 검증할 연ꡬ도 ν•„μš”ν•΄ 보인닀. λ³Έ μ—°κ΅¬μ˜ ν•œκ³„μ μ€ μ•„λž˜μ™€ κ°™λ‹€. 첫째, 뢄석 κ°€λŠ₯ν•œ ν†΅κ³„λŸ‰μ˜ ν•œκ³„κ°€ μžˆμ—ˆμœΌλ―€λ‘œ ν†΅κ³„μ μœΌλ‘œ μœ μ˜λ―Έν•œ 뢄석 κ²°κ³Όλ₯Ό 많이 μ œμ‹œν•˜μ§€ λͺ»ν•œ μ μ—μ„œ ν–₯ν›„ 더 λ§Žμ€ ν‘œλ³Έμ„ ν™•λ³΄ν•œ ν›„ 연ꡬ가 ν•„μš”ν•˜λ‹€. λ‘˜μ§Έ, 폐ꡐ 이전과 이후 μ‹œμ  섀정에 λ”°λ₯Έ 편의(bias)λ₯Ό μ œκ±°ν•˜κΈ° μœ„ν•΄ 쒅단연ꡬλ₯Ό μ œμ•ˆν•œλ‹€. μ…‹μ§Έ, 이와 ν•¨κ»˜ 각 폐ꡐ 사둀에 λŒ€ν•œ λ§₯락을 μ΄ν•΄ν•˜κΈ° μœ„ν•΄ ν›„μ†μ—°κ΅¬λ‘œ μ§ˆμ μ—°κ΅¬λ„ μ˜λ―Έκ°€ μžˆμ„ κ²ƒμœΌλ‘œ 보인닀.제 1 μž₯ μ„œλ‘  1 제 2 μž₯ 이둠적 λ°°κ²½ 및 선행연ꡬ κ²€ν†  5 제 1 절 이둠적 κ³ μ°° 5 1. 정책평가 5 2. λŒ€ν•™ ꡬ쑰쑰정과 λŒ€ν•™ 폐ꡐ μ •μ±… 6 3. 지역 κ²½μ œμ— 영ν–₯을 λ―ΈμΉ˜λŠ” λ³€μˆ˜ 21 제 2 절 선행연ꡬ 24 1. λŒ€ν•™μ΄ μ§€μ—­μ‚¬νšŒμ— λ―ΈμΉ˜λŠ” 영ν–₯에 κ΄€ν•œ 연ꡬ 24 2. λŒ€ν•™κ΅¬μ‘°κ°œν˜ μ •μ±… κ΄€λ ¨ 선행연ꡬ 26 제 3 μž₯ 연ꡬ가섀 및 연ꡬ방법 29 제 1 절 연ꡬ가섀 29 제 2 절 연ꡬ방법 31 1. λΆ„μ„μžλ£Œ 및 뢄석λͺ¨ν˜• 31 2. μ‹€ν—˜μ§‘λ‹¨κ³Ό 비ꡐ집단 ꡬ성 36 3. μΈ‘μ •λ³€μˆ˜ 40 제 4 μž₯ 뢄석결과 48 제 1 절 이쀑차이뢄석 κ²°κ³Ό 48 1. 사업체 수 뢄석 κ²°κ³Ό 48 2. 전체 사업체 μ’…μ‚¬μž 수 뢄석 κ²°κ³Ό 53 3. μ‹œκ΅°κ΅¬λ³„ λŒ€ν•™ μž¬ν•™μƒ 수λ₯Ό λ°˜μ˜ν•œ μΆ”κ°€ 뢄석 54 제 2 절 Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • κ²°κ³Ό 57 1. 사업체 수 뢄석 κ²°κ³Ό 57 2. 전체 사업체 μ’…μ‚¬μž 수 뢄석 κ²°κ³Ό 60 3. μ†Œκ²° 61 제 5 μž₯ κ²°λ‘  64 제 1 절 싀증뢄석 κ²°κ³Ό μš”μ•½ 64 1. 이쀑차이뢄석 결과에 λŒ€ν•œ 뢄석 65 2. Wilcoxon λΆ€ν˜Έμˆœμœ„ κ²€μ • 결과에 λŒ€ν•œ 뢄석 66 제 2 절 μ •μ±… μ‹œμ‚¬μ κ³Ό μ œμ–Έ 68 제 3 절 λ³Έ μ—°κ΅¬μ˜ ν•œκ³„ 70 μ°Έκ³ λ¬Έν—Œ 72 Abstract 77석
    corecore