33 research outputs found

    A Study on the Improvement of Conflict Related to the Preservation of Historical and Cultural Environment : Focusing on the conflicts related to the limitation of development act

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ³΅κ³ΌλŒ€ν•™ 건좕학과, 2018. 8. 전봉희.μ—­μ‚¬λ¬Έν™”ν™˜κ²½ λ³΄μ „μ˜ λ²”μœ„κ°€ ν™•λŒ€λ¨μ— 따라 λ‹€μ–‘ν•œ μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전을 λͺ©μ μœΌλ‘œ ν•˜λŠ” 정책이 λ‚˜νƒ€λ‚˜λ©°, κ°œλ°œν–‰μœ„ μ œν•œμ„ 주된 μˆ˜λ‹¨μœΌλ‘œ ν•˜λŠ” λ³΄μ „μ˜ νŠΉμ„±μƒ λ‹€μ–‘ν•œ ν–‰μœ„μž κ°„μ˜ κ°ˆλ“±μ΄ λ°œμƒν•œλ‹€. 이 논문은 μ΄λŸ¬ν•œ μƒν™©μ—μ„œ μ—­μ‚¬λ¬Έν™”ν™˜κ²½μ—μ„œ λ‚˜νƒ€λ‚˜λŠ” κ°ˆλ“±μ„ κ°œλ°œν–‰μœ„μ œν•œμ„ μ€‘μ‹¬μœΌλ‘œ ν•˜μ—¬ κ·Έ νŠΉμ§• 및 원인이 무엇인지 νƒμƒ‰ν•˜μ—¬ κ·Έ κ°œμ„  λ°©μ•ˆμ„ λͺ¨μƒ‰ν•˜λŠ” 데에 λͺ©μ μ΄ μžˆλ‹€. κΈ°μ‘΄ μ—°κ΅¬λ“€κ³ΌλŠ” 달리 λ‹€μ–‘ν•œ 사둀λ₯Ό μ‘°μ‚¬ν•˜μ—¬ 사둀듀 간에 λ‚˜νƒ€λ‚˜λŠ” 곡톡적인 κ²½ν–₯을 νŒŒμ•…ν•˜μ˜€μœΌλ©°, 건좕물 ν˜•νƒœβ€€κ·œλͺ¨λ‚˜ 법λ₯  μ™Έμ˜ μ°¨μ›μ—μ„œλ„ κ°œλ°œν–‰μœ„ μ œν•œκ³Ό κ΄€λ ¨ν•œ κ°ˆλ“±μ˜ 원인과 그에 λŒ€ν•œ κ°œμ„ λ°©μ•ˆμ„ νƒμƒ‰ν•œ 것에 이 λ…Όλ¬Έμ˜ μ˜μ˜κ°€ μžˆλ‹€κ³  ν•  수 μžˆλ‹€. μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전 및 이에 κ΄€λ ¨ν•œ κ°ˆλ“±μ˜ 이둠적 배경을 νŒŒμ•…ν•˜κΈ° μœ„ν•΄ λ¬Έν—Œ 자료λ₯Ό κ²€ν† ν•˜μ˜€λ‹€. μ΄λŸ¬ν•œ 이둠적 λ…Όμ˜λ₯Ό 톡해 κ°ˆλ“± 사둀듀을 μœ ν˜•ν™”ν•˜μ˜€μœΌλ©°, ꡬ체적인 κ°ˆλ“± 사둀λ₯Ό μ‘°μ‚¬ν•˜κΈ° μœ„ν•΄ 주둜 κ°ˆλ“± 사둀λ₯Ό 닀룬 μ–Έλ‘  기사λ₯Ό μ°Έμ‘°ν•˜μ˜€λ‹€. κ°ˆλ“± μ‚¬λ‘€μ˜ μœ ν˜•μ€ κ°œλ°œν–‰μœ„ μ œν•œμ˜ νŠΉμ„±κ³Ό μ΄ν•΄κ΄€κ³„μž μ‚¬μ΄μ˜ μƒν˜Έμž‘μš©μ΄λΌλŠ” 두 가지 기쀀을 가지고 λΆ„λ₯˜ν•˜μ˜€λ‹€. λ¨Όμ € κ°œλ°œν–‰μœ„ μ œν•œμ˜ νŠΉμ„±μ— λŒ€ν•΄μ„œλŠ” λŒ€μ²΄λ‘œ κ°œλ°œν–‰μœ„ μ œν•œμ΄ 일반적인 ν–‰μœ„ μ œν•œλ³΄λ‹€λŠ” νŠΉμ • κ°œλ°œν–‰μœ„λ₯Ό μ€‘λ‹¨ν•˜λŠ” 것일 λ•Œ, μ œν•œμ˜ κ·Όκ±°κ°€ κΈ°μ‘΄ λ²•λ Ήλ³΄λ‹€λŠ” μ‹ κ·œ κ³„νšμ— μ˜ν•œ 것일 λ•Œ 규제 κ΄€κ³„μžλ“€μ˜ ν™œλ™μ΄ ν™œλ°œν•΄μ§€λ©°, κ°ˆλ“±μ˜ κΈ°κ°„ λ˜ν•œ μž₯기화될 것이라고 μΆ”λ‘ ν•  수 μžˆμ—ˆλ‹€. ν•œνŽΈ, μ΄ν•΄κ΄€κ³„μž κ°„μ˜ μƒν˜Έμž‘μš©μ€ 규제 λŒ€μƒμžλ“€μ΄ 행정기관에 λŒ€ν•΄ 규제 μ™„ν™”λ₯Ό μš”κ΅¬ν•˜λŠ” ν–‰μ •κΈ°κ΄€κ³Ό κ·œμ œλŒ€μƒμž κ°„μ˜ μƒν˜Έμž‘μš©μ΄ κ°€μž₯ λ‘λ“œλŸ¬μ§€κ²Œ λ‚˜νƒ€λ‚¬μœΌλ‚˜, κ°œλ°œν–‰μœ„μ œν•œμ˜ 직접 λ‹Ήμ‚¬μžκ°€ μ•„λ‹Œ 제3μžκ°€ κ°œλ°œμ— λ°˜λŒ€ν•˜λ©° 규제 λŒ€μƒμžλ‚˜ ν–‰μ •κΈ°κ΄€κ³Ό κ°ˆλ“±μ„ κ²ͺ기도 ν•˜μ˜€λ‹€. λ˜ν•œ 쀑앙정뢀와 지방정뢀, ν˜Ήμ€ 지방정뢀 간에 의견 λŒ€λ¦½μ΄ λ°œμƒν•˜κΈ°λ„ ν•˜μ˜€μœΌλ©°, μ •λΆ€μœ„μ›νšŒμ™€ 쀑앙행정기관 μ‚¬μ΄μ˜ 의견 μΆ©λŒλ„ λ‚˜νƒ€λ‚¬λ‹€. κ·Έ λ’€ μ—¬λŸ¬ μ‚¬λ‘€λ“€λ‘œλΆ€ν„° κ°ˆλ“±μ΄ μΌμ–΄λ‚˜λŠ” 원인을 λ„μΆœν•˜μ˜€κ³ , 그에 λŒ€ν•œ κ°œμ„ λ°©μ•ˆμ„ κ΅­λ‚΄μ˜ μ—¬λŸ¬ 사둀와 λ‹€λ₯Έ λΆ„μ•Όμ˜ μ œλ„, μ—¬λŸ¬ λ¬Έν—Œλ“€μ„ ν†΅ν•˜μ—¬ μ œμ‹œν•˜μ˜€λ‹€. κ°ˆλ“±μ˜ μ›μΈμœΌλ‘œλŠ” 경제적 μΈ‘λ©΄μ—μ„œλŠ” 지역 주민의 일방적인 μž¬μ‚°κΆŒ μ œν•œ, κ°œλ°œμ‚¬μ—… μ€‘λ‹¨μœΌλ‘œ λ°œμƒν•˜λŠ” 맀λͺ°λΉ„μš©μ΄ μžˆμ—ˆμœΌλ©° ν–‰μ •β€€μ œλ„μ  μΈ‘λ©΄μ—μ„œλŠ” λ³΄μ „μ˜ λ²”μœ„Β·λ‚΄μš©μ— λŒ€ν•œ λ…ΌμŸ, ν–‰μ •κΈ°κ΄€μ˜ μƒˆλ‘œμš΄ 사업 μˆ˜λ¦½Β·μΆ”μ§„, 쀑앙정뢀와 μ§€λ°©μžμΉ˜λ‹¨μ²΄ κ°„ 의견 λŒ€λ¦½, λ¬Έν™”μž¬μœ„μ›νšŒ μ‹¬μ˜μ— λŒ€ν•œ μ΄ν•΄κ΄€κ³„μžμ˜ 뢈볡이 μžˆμ—ˆλ‹€. κ°€μΉ˜κ΄€ μΈ‘λ©΄μ—μ„œ μ΄ν•΄κ΄€κ³„μžλ“€ μ‚¬μ΄μ˜ μƒλ°˜λœ κ°€μΉ˜κ΄€μ˜ 좩돌 μ—­μ‹œ κ°ˆλ“±μ˜ 원인이 λ˜μ—ˆλ‹€. μ΄λŸ¬ν•œ κ°ˆλ“±μ— λŒ€ν•œ κ°œμ„ λ°©μ•ˆμœΌλ‘œ 첫째, μ„Έμ œ 감면 및 보쑰금 지원, 손싀보상 및 맀수청ꡬꢌ λΆ€μ—¬, 규제 λŒ€μƒ 지역에 λŒ€ν•œ μ£Όλ―Ό 지원 사업 λ“±μ˜ 경제적 보상을 κ³ λ €ν•  수 μžˆλ‹€. λ‘˜μ§Έ, 신좕이 μ–΄λ ΅κ±°λ‚˜ κΈ°μ‘΄ κ³„νšλŒ€λ‘œ 개발 μ‚¬μ—…μ˜ 좔진이 μ–΄λ €μš΄ 경우 κ²°ν•© 개발 방식을 λ„μž…ν•  수 μžˆλ‹€. μ…‹μ§Έ, κ°œλ°œν–‰μœ„μ œν•œμ˜ λŒ€μƒ λ²”μœ„ 및 λ‚΄μš©μ— 이견이 μžˆμ„ λ•Œ 규제의 μž¬μ‘°μ •μ΄ ν•„μš”ν•˜λ‹€. λ„·μ§Έ, 행정기관이 보전사업을 좔진할 λ•Œ 지역 주민이 μ°Έμ—¬ν•  수 μžˆλŠ” 절차λ₯Ό λ§ˆλ ¨ν•  ν•„μš”κ°€ μžˆλ‹€. λ‹€μ„―μ§Έ, μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전 μ •μ±…μ—μ„œ 역할을 λΆ„λ‹΄ν•˜λŠ” μ§€λ°©μžμΉ˜λ‹¨μ²΄μ™€ 쀑앙정뢀가 ν˜‘μ—…μ„ 도λͺ¨ν•  ν•„μš”κ°€ μžˆλ‹€. μ—¬μ„―μ§Έ, λ¬Έν™”μž¬μœ„μ›νšŒκ°€ μΈν—ˆκ°€λ₯Ό κ±°λΆ€ν•  λ•Œ κ±°λΆ€ μ‚¬μœ λ₯Ό μ•Œλ €μ£Όμ–΄ κ°œλ°œμ‚¬μ—…μ•ˆμ„ λ³€κ²½ν•  수 μžˆλ„λ‘ ν•  ν•„μš”κ°€ μžˆλ‹€. 일곱째, μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전에 κ΄€λ ¨ν•΄ κ°ˆλ“±μ΄ λ°œμƒν–ˆμ„ 경우 λŒ€μ²΄μ  λΆ„μŸν•΄κ²°μ œλ„(ADR)λ₯Ό ν†΅ν•œ λΆ„μŸ 쑰정을 κ³ λ €ν•  ν•„μš”κ°€ μžˆλ‹€. μ—¬λŸμ§Έ, κ°ˆλ“±μ΄ μž₯κΈ°ν™”λ˜κ±°λ‚˜ μ—¬λŸ¬ κ°€μΉ˜κ΄€κ³Ό κ΄€λ ¨ν•œ 경우 참여적 μ˜μ‚¬κ²°μ •κΈ°λ²•μ„ λ„μž…ν•˜μ—¬ κ°ˆλ“±μ„ κ°œμ„ ν•  수 μžˆμ„ 것이닀.1. μ„œ λ‘  1 1.1. μ—°κ΅¬μ˜ λ°°κ²½ 및 λͺ©μ  1 1.2. μ„ ν–‰ μ—°κ΅¬μ˜ κ²€ν†  2 1.3. μ—°κ΅¬μ˜ λŒ€μƒ 및 방법 7 1.3.1. μ—°κ΅¬μ˜ λŒ€μƒ 7 1.3.2. μ—°κ΅¬μ˜ 방법 9 2. 이둠적 κ³ μ°° 11 2.1. μ—­μ‚¬λ¬Έν™”ν™˜κ²½ λ³΄μ „μ˜ μ˜μ˜μ™€ κ΄€λ ¨ μ œλ„ 11 2.1.1. μ—­μ‚¬λ¬Έν™”ν™˜κ²½ λ³΄μ „μ˜ 의의 11 2.1.2. μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전과 κ΄€λ ¨ν•œ μ œλ„ 13 2.2. κ°ˆλ“±μ˜ 이둠적 κ²€ν†  27 2.2.1. κ°ˆλ“±μ˜ κ°œλ… 및 의의 28 2.2.2. κ·œμ œμ •μ±…μ—μ„œμ˜ κ°ˆλ“±κ³Ό κ΄€λ ¨ν•œ 이둠 29 3. μ—­μ‚¬λ¬Έν™”ν™˜κ²½ 보전과 κ΄€λ ¨ν•œ κ°ˆλ“±μ˜ νŠΉμ„± 34 3.1. κ°ˆλ“±μ˜ μœ ν˜• λΆ„λ₯˜ 34 3.1.1. κ°œλ°œν–‰μœ„ μ œν•œμ˜ νŠΉμ„±μ— λ”°λ₯Έ κ°ˆλ“± μœ ν˜• 34 3.1.2. μ΄ν•΄κ΄€κ³„μž κ°„ μƒν˜Έμž‘μš©μ— λ”°λ₯Έ κ°ˆλ“± μœ ν˜• 38 3.2. κ°ˆλ“± μ‚¬λ‘€μ˜ κ°œμš” 및 뢄석 42 3.2.1. κ°•ν™”μ‚°μ„± 및 κ°•ν™”μ™Έμ„± μ£Όλ³€ 42 3.2.2. ν˜„λŒ€μžλ™μ°¨ κΈ€λ‘œλ²ŒλΉ„μ¦ˆλ‹ˆμŠ€μ„Όν„° 신좕사업 47 3.2.3. 풍납토성 λ‚΄λΆ€ 주거지 52 3.2.4. 사직2λ„μ‹œν™˜κ²½μ •λΉ„κ΅¬μ—­ 60 3.3. κ°ˆλ“±μ˜ μœ ν˜•λ³„ νŠΉμ§• 67 3.3.1. κ°œλ°œν–‰μœ„ μ œν•œμ— λ”°λ₯Έ μœ ν˜•λ³„ κ°ˆλ“±μ˜ νŠΉμ§• 67 3.3.2. μ΄ν•΄κ΄€κ³„μž κ°„ μƒν˜Έμž‘μš© μœ ν˜•λ³„ κ°ˆλ“±μ˜ νŠΉμ§• 73 3.3.3. κ°ˆλ“±μ˜ 이둠적 μ„€λͺ… 78 4. κ°ˆλ“±μ˜ 원인과 κ°œμ„ λ°©μ•ˆ 81 4.1. κ°œλ°œν–‰μœ„μ œν•œ κ΄€λ ¨ κ°ˆλ“±μ˜ 원인 81 4.2. κ°œλ°œν–‰μœ„μ œν•œ κ΄€λ ¨ κ°ˆλ“±μ˜ κ°œμ„  λ°©μ•ˆ 90 4.1.2. κ°ˆλ“±μ˜ κ°œμ„  λ°©μ•ˆ 90 4.1.2. κ°œλ°œν–‰μœ„ μ œν•œ μœ ν˜•λ³„ κ°ˆλ“± κ°œμ„  λ°©ν–₯ 101 5. κ²° λ‘  108 μ°Έκ³ λ¬Έν—Œ 111 Abstract 114Maste

    Impact of Mitomycin-C-Induced Neutropenia after Hyperthermic Intraperitoneal Chemotherapy with Cytoreductive Surgery in Colorectal Cancer Patients with Peritoneal Carcinomatosis

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    Background: Mitomycin-C (MMC) is the most commonly used chemotherapeutic agent for hyperthermic intraperitoneal chemotherapy (HIPEC) after cytoreductive surgery (CRS). However, MMC has a side effect of myelosuppression. This study aimed to evaluate the clinical manifestations and impact of MMC-induced neutropenia after CRS and HIPEC in colorectal cancer patients. Methods: A total of 124 colorectal cancer patients who underwent CRS with HIPEC between March 2015 and January 2019 were evaluated. Patients with malignancies of non-colorectal origin, hospital stay longer than 60 days, peritoneal cancer index > 30, and complete cytoreduction score > 2 were excluded. MMC 35 mg/m2 was administered for 90 min at 41-43 Β°C. The patients were divided into three groups: no neutropenia, mild neutropenia (grade 1-2), and severe neutropenia (grade 3-4). Results: In total, mild and severe neutropenia occurred in 30 (24.2%) and 48 (38.7%) patients, respectively. Age and body surface area were significantly different among the neutropenia groups. Severe neutropenia developed significantly earlier than mild neutropenia (6.9 days vs. 10.4 days, p < 0.001) and also lasted significantly longer (4.6 days vs. 2.5 days, p = 0.005). The rate of major postoperative complications was significantly higher in the severe neutropenia group than in the no and mild neutropenia groups (8.3% vs. 6.7% vs. 6.5%, p = 0.015) CONCLUSIONS: Severe neutropenia starts earlier and lasts longer than mild neutropenia after CRS and HIPEC using an MMC triple method. The higher rate of major postoperative complications in patients with severe neutropenia highlights the importance of postoperative management during the neutropenia period.ope

    Changes in Automated Mammographic Breast Density Can Predict Pathological Response After Neoadjuvant Chemotherapy in Breast Cancer

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    Objective: Mammographic density is an independent risk factor for breast cancer that can change after neoadjuvant chemotherapy (NCT). This study aimed to evaluate percent changes in volumetric breast density (Ξ”Vbd%) before and after NCT measured automatically and determine its value as a predictive marker of pathological response to NCT. Materials and Methods: A total of 357 patients with breast cancer treated between January 2014 and December 2016 were included. An automated volumetric breast density (Vbd) measurement method was used to calculate Vbd on mammography before and after NCT. Patients were divided into three groups according to Ξ”Vbd%, calculated as follows: Vbd (post-NCT βˆ’ pre-NCT)/pre-NCT Vbd x 100 (%). The stable, decreased, and increased groups were defined as -20% ≀ Ξ”Vbd% ≀ 20%, Ξ”Vbd% 20%, respectively. Pathological complete response (pCR) was considered to be achieved after NCT if there was no evidence of invasive carcinoma in the breast or metastatic tumors in the axillary and regional lymph nodes on surgical pathology. The association between Ξ”Vbd% grouping and pCR was analyzed using univariable and multivariable logistic regression analyses. Results: The interval between the pre-NCT and post-NCT mammograms ranged from 79 to 250 days (median, 170 days). In the multivariable analysis, Ξ”Vbd% grouping (odds ratio for pCR of 0.420 [95% confidence interval, 0.195–0.905; P = 0.027] for the decreased group compared with the stable group), N stage at diagnosis, histologic grade, and breast cancer subtype were significantly associated with pCR. This tendency was more evident in the luminal B-like and triple-negative subtypes. Conclusion: Ξ”Vbd% was associated with pCR in breast cancer after NCT, with the decreased group showing a lower rate of pCR than the stable group. Automated measurement of Ξ”Vbd% may help predict the NCT response and prognosis in breast cancer.ope

    Defining Housing Submarkets and Forecasting Housing Prices using Data Mining Techniques

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    ν•™μœ„λ…Όλ¬Έ(박사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :ν™˜κ²½λŒ€ν•™μ› ν™˜κ²½κ³„νšν•™κ³Ό,2019. 8. κΉ€κ²½λ―Ό.주택 뢀동산 μ‹œμž₯은 μˆ˜λ§Žμ€ 이해관계가 μ–½ν˜€μžˆκ³ , λ„μ‹œμ˜ μ‚¬νšŒΒ·κ²½μ œμ  ν™˜κ²½κ³Όλ„ λ°€μ ‘ν•˜κ²Œ μ—°κ΄€λœ 맀우 λ³΅μž‘ν•œ μ‹œμž₯이닀. μ£Όνƒμ‹œμž₯의 λ³€ν™”λŠ” μ‚¬νšŒμ— μ€‘μš”ν•œ 영ν–₯을 λ―ΈμΉ˜λŠ” μš”μΈμœΌλ‘œ μž‘μš©ν•œλ‹€. λ•Œλ¬Έμ— μ£Όνƒμ‹œμž₯을 μ΄ν•΄ν•˜κ³  μ‹œμž₯ λ‚΄μ—μ„œ λ°œμƒν•˜λŠ” λ³€ν™”λ₯Ό μ •ν™•νžˆ κ΄€μ°°ν•˜κΈ° μœ„ν•΄ λΆ€λ‹¨ν•œ μ‹œλ„κ°€ 이어지고 μžˆλ‹€. μ΄λŸ¬ν•œ κ΄€μ μ—μ„œ μ£Όνƒμ‹œμž₯에 λŒ€ν•œ μ΄ν•΄μ˜ 핡심은 λ³΅μž‘ν•œ μ‹œμž₯ μ†μ—μ„œ λ™μ§ˆμ˜ μ‹œμž₯을 적절히 μΆ”λ €λ‚΄λŠ” 것과 κ·Έ 경기변동을 μ˜ˆμΈ‘ν•˜λŠ” 것에 μžˆλ‹€κ³  ν•  수 μžˆλ‹€. 즉, 볡합인 κΈ°μž¬μ— μ˜ν•΄ μž‘λ™ν•˜λŠ” 이질적 μ‹œμž₯ μ†μ—μ„œ λ™μ§ˆμ„±μ΄ κ°•ν•œ ν•˜μœ„μ‹œμž₯을 μ–΄λ–»κ²Œ μ •μ˜ν•˜κ³ , μ–΄λ– ν•œ λ°©λ²•μœΌλ‘œ κ·Έ 미래의 λ³€ν™”λ₯Ό μ˜ˆμΈ‘ν•  것인가 ν•˜λŠ” 것이 μ£Όνƒμ‹œμž₯을 λ‹€λ£¨λŠ” 데 μžˆμ–΄μ„œ 맀우 μ€‘μš”ν•˜λ‹€. 이에 λ³Έ μ—°κ΅¬μ—μ„œλŠ” 뢀동산 μ‹€κ±°λž˜ 빅데이터와 λ°μ΄ν„°λ§ˆμ΄λ‹ 방법둠을 μ΄μš©ν•˜μ—¬, μ„œμšΈ μˆ˜λ„κΆŒμ˜ μ•„νŒŒνŠΈ μ‹œμž₯을 μœ μ‚¬ν•œ 가격 및 가격변화 μ›€μ§μž„μ„ λ³΄μ΄λŠ” 수 개의 ν•˜μœ„μ‹œμž₯으둜 λ‚˜λˆ„κ³ , 각 ν•˜μœ„μ‹œμž₯의 ν–₯ν›„ 가격변화λ₯Ό μ˜ˆμΈ‘ν•˜κ³ μž ν•˜μ˜€λ‹€. 이λ₯Ό μœ„ν•˜μ—¬ λ¨Όμ €, 1) μ‹œκ³„μ—΄ ꡰ집뢄석 방법을 ν™œμš©ν•˜μ—¬ μ„œμšΈ 및 μˆ˜λ„κΆŒ μ•„νŒŒνŠΈ μ‹œμž₯μ—μ„œ 동쑰적 가격변화 νŒ¨ν„΄μ„ λ³΄μ΄λŠ” ν•˜μœ„μ‹œμž₯을 μ •μ˜ν•˜μ˜€λ‹€. 이후, 2) 인곡신경망 λͺ¨ν˜•μ„ μ΄μš©ν•˜μ—¬ κ±°μ‹œκ²½μ œ λ³€μˆ˜μ™€ ꡰ집별 가격변화에 λ”°λ₯Έ μ„œμšΈ 및 ν•˜μœ„μ‹œμž₯의 가격을 λͺ¨ν˜•ν™”ν•˜κ³ , 미래의 가격변화λ₯Ό μ˜ˆμΈ‘ν•˜μ˜€λ‹€. 이λ₯Ό μœ„ν•˜μ—¬ κ΅­ν† κ΅ν†΅λΆ€μ—μ„œ μ œκ³΅ν•˜λŠ” μ•„νŒŒνŠΈ μ‹€κ±°λž˜ 데이터λ₯Ό μ‚¬μš©ν•˜μ˜€μœΌλ©°, 2006λ…„λΆ€ν„° 2018λ…„ 12μ›”κΉŒμ§€ μ•½ 300만 건의 μ„œμšΈ 및 μˆ˜λ„κΆŒ μ•„νŒŒνŠΈλ₯Ό λŒ€μƒμœΌλ‘œ ν•˜μ˜€λ‹€. κ΅¬μ²΄μ μœΌλ‘œλŠ” κ°œλ³„ μ•„νŒŒνŠΈ 단지에 λŒ€ν•˜μ—¬ 규λͺ¨λ³„ ꡬ뢄을 μ μš©ν•˜μ—¬ 각각을 μ΅œμ†Œ λΆ„μ„λ‹¨μœ„λ‘œ μ‚Όμ•˜μœΌλ©°, μ΅œμ’…μ μœΌλ‘œλŠ” κ±°λž˜κ°€ λΉˆλ²ˆν•œ 1,912개의 사둀가 μ‚¬μš©λ˜μ—ˆλ‹€. μ‹œκ³„μ—΄ 자료λ₯Ό μœ„ν•œ ꡰ집 λΆ„μ„μ—λŠ” 뢄할법(Partitioning method)을 μ‚¬μš©ν•˜μ˜€μœΌλ©°, μœ μ‚¬μ„± μ²™λ„λ‘œλŠ” Global Alignment Kernel(GAK), 쀑심 μΆ”μΆœμ—λŠ” Partitioning Around Medoid(PAM) μ•Œκ³ λ¦¬μ¦˜μ„ μ‚¬μš©ν•˜μ˜€λ‹€. 그리고 κ°€κ²©μ˜ˆμΈ‘μ„ μœ„ν•˜μ—¬μ„œλŠ” μˆœν™˜μ‹ κ²½λ§λͺ¨ν˜•μ˜ μž₯단기기얡(Long Short Term Memory, LSTM) μ•Œκ³ λ¦¬μ¦˜ λ“±μ˜ 방법둠을 ν™œμš©ν•˜μ˜€λ‹€. ꡰ집 뢄석을 ν†΅ν•œ ν•˜μœ„μ‹œμž₯ κ΅¬λΆ„μ˜ κ²°κ³Ό μ„œμšΈ 및 μˆ˜λ„κΆŒ μ‹œμž₯은 총 7개둜 κ΅¬λΆ„λ˜μ—ˆμœΌλ©°, 이 쀑 3개의 ν•˜μœ„μ‹œμž₯은 μ„œμšΈμ„ μ€‘μ‹¬μœΌλ‘œ, 4개의 μ‹œμž₯은 μ„œμšΈ μ™Έ 지역 및 μ‹ λ„μ‹œ 지역을 μ€‘μ‹¬μœΌλ‘œ κ΅¬μ„±λ˜λŠ” κ²ƒμœΌλ‘œ λ‚˜νƒ€λ‚¬λ‹€. 각각은 μ„œμšΈ λ™λ‚¨κΆŒ(강남, μ„œμ΄ˆ, μ†‘νŒŒκ΅¬), μ„œμšΈ μ†Œν˜•, μ„œμšΈ μ€‘λŒ€ν˜•, μ„œμšΈ λ™λΆκΆŒ(도봉, 노원ꡬ), μ‹ λ„μ‹œ μ€‘μ†Œν˜•, μ‹ λ„μ‹œ μ€‘λŒ€ν˜•, μˆ˜λ„κΆŒ μ†Œν˜•μœΌλ‘œ λ‹¨μˆœν™”ν•˜μ—¬ ν‘œν˜„λ  수 μžˆλ‹€. μ„œμšΈ 경계 μ™Έμ—λŠ” 지리적 인접성보닀 규λͺ¨μ— λ”°λ₯Έ 차이가 λ‘λ“œλŸ¬μ‘ŒμœΌλ‚˜, μ„œμšΈμ˜ λ™λ‚¨κΆŒκ³Ό λ™λΆκΆŒμ˜ κ²½μš°μ—λŠ” 규λͺ¨μ— λ”°λ₯Έ 차이보닀 지역적 λ™μ§ˆμ„±μ΄ κ°•ν•˜κ²Œ λ‚˜νƒ€λ‚¨μ„ ν™•μΈν•˜μ˜€λ‹€. 각 ν•˜μœ„μ‹œμž₯은 (λ‹¨μœ„λ©΄μ λ‹Ή) 가격 및 가격변화 νŒ¨ν„΄μ—μ„œ κ΅¬λΆ„λ˜λŠ” λͺ…ν™•ν•œ 차이λ₯Ό λ³΄μ˜€λ‹€. μ„œμšΈ 및 ν•˜μœ„μ‹œμž₯의 λ―Έλž˜κ°€κ²©λ³€ν™” 예츑과 κ΄€λ ¨ν•˜μ—¬μ„œλŠ” 주택가격에 영ν–₯을 μ£ΌλŠ” κ²ƒμœΌλ‘œ ν™•μΈλœ κ±°μ‹œκ²½μ œ λ³€μˆ˜μ™€ μ£Όνƒκ°€κ²©μ§€μˆ˜ 및 κ±°λž˜λŸ‰ λ“±μ˜ 자료λ₯Ό ν™œμš©ν•˜μ˜€λ‹€. 12κ°œμ›”κ°„μ˜ 자료λ₯Ό 톡해, 동일 μ‹œμ  λ°°κ²½μžλ£Œκ°€ μ—†λŠ” 1κ°œμ›” ν›„μ˜ 가격을 μ˜ˆμΈ‘ν•˜λ„λ‘ λͺ¨ν˜•μ„ κ΅¬μ„±ν•˜μ—¬ 뢄석을 μ§„ν–‰ν•˜μ˜€λ‹€. 뢄석 κ²°κ³Ό μ„œμšΈ 및 λͺ¨λ“  ν•˜μœ„μ‹œμž₯에 λŒ€ν•˜μ—¬ μš°μˆ˜ν•œ μ˜ˆμΈ‘μ„±λŠ₯을 ν™•μΈν•˜μ˜€μœΌλ©°, 1κ°œμ›” ν›„μ˜ κ°€κ²©λ³€ν™”μ—μ„œ 2018λ…„ 말 μ‹œμž‘λœ κ°€κ²©ν•˜λ½μ΄ 계속 μ΄μ–΄μ§ˆ κ²ƒμœΌλ‘œ μ˜ˆμΈ‘λ˜μ—ˆλ‹€. λ³Έ μ—°κ΅¬λŠ” ν˜„μž¬ μ‹œμž₯ 및 ν•™κ³„μ—μ„œ ν†΅μš©λ˜κ³  μžˆλŠ” μˆ˜λ„κΆŒμ˜ 곡동주택 ν•˜μœ„μ‹œμž₯ μ •μ˜κ°€ 가진 ν˜„μ‹€λ°˜μ˜μ˜ λ¬Έμ œμ μ„ 밝히고, μ‹œμž₯의 역동을 λ°˜μ˜ν•˜μ—¬ λ™μ§ˆμ„±κ³Ό νš¨μœ¨μ„±μ„ 가진 μƒˆλ‘œμš΄ ν•˜μœ„μ‹œμž₯ μ •μ˜λ₯Ό μ œμ‹œν–ˆλ‹€λŠ”λ° 의의λ₯Ό 가진닀. μ΄λŸ¬ν•œ κ²°κ³Όλ₯Ό 톡해 ν–₯ν›„ μ£Όνƒμ‹œμž₯의 λ³€ν™”λ₯Ό μ˜¬λ°”λ₯΄κ²Œ μ΄ν•΄ν•˜κ³ , 정책적 νŒλ‹¨μ„ λ‚΄λ¦¬λŠ”λ° κΈ°μ—¬ν•  것을 κΈ°λŒ€ν•œλ‹€.The housing real estate market, which is closely related to the socioeconomic environment of the city, is a very complex market with many interests involved. Changes in the housing market often have a significant impact on society as a whole. There are ongoing efforts to understand the housing market and to observe precisely the changes that occur in the market. From this point of view, the key to understanding the housing market is to properly identify homogeneous submarkets and to predict their price fluctuations. In other words, how to define a homogeneous sub-market in a heterogeneous market operated by a complex description and how to anticipate that future change are very important in dealing with the housing market. This study divides apartment market in Seoul metropolitan area into several submarkets with similar price and price movements using APT transaction data and data-mining methodology. First, I defined 1) submarkets with a pattern of synchronized price change in APT-market using time series cluster analysis method. And then, 2) Modeling the prices of Seoul and submarkets according to macroeconomic variables and cluster price changes, using Artificial Neural Network(ANN) model, and forecast future price changes. For this purpose, APT transaction data provided by the Ministry of Land, Infrastructure and Transport were used. From 2006.01 to 2018.12, about 3 million transaction cases in Seoul and the metropolitan area were selected. In terms of time series clustering analysis, partitioning method was used for clustering. Global Alignment Kernel (GAK) was used as similarity measure and Partitioning Around medoid (PAM) algorithm was used for center extraction. For the prediction of the price, Long Short Term Memory (LSTM) algorithm of the Recurrent Neural Network model is used. As a result of sub-market segmentation by cluster analysis, Seoul and metropolitan area markets were divided into 7 submarkets, of which 3 are mainly in Seoul, and 4 markets are located outside of Seoul and new towns. Each of them can be expressed in simplified form in the Seoul Southeast Region (Gangnam, Seocho, Songpa), Seoul Small, Seoul Mid-Large, Seoul Northeast(Dobong, Nowon), New-town Mid-Small, New-town Mid-Large, Metropolitan Small. Overall, there is a significant difference in scale rather than geographic proximity, but it was confirmed that regional homogeneity was stronger in the case of Southeast and Northeast regions than Seoul. Each sub-market showed a difference in price(per unit area) and price change patterns. For the prediction of future price changes in Seoul and submarkets, this study used data such as the housing price index and the number of transactions, and macroeconomic variables that were found to affect housing prices. In the 12-month period, the model was constructed to estimate the price one month after the absence of background data. As a result of the analysis, the forecasting performance in Seoul and all submarkets was confirmed. For the price change after one month, it is predicted that the price decline that started at the end of 2018 will continue. This study implies that the definition of the sub-market in the metropolitan area, which is currently used in the market and academia, reveals the problems of the reality reflection and suggests a new sub-market definition with homogeneity and efficiency reflecting the dynamics of the market. These results are expected to contribute to the understanding of future housing market changes and to make policy decisions.I. μ„œλ‘  1 1. μ—°κ΅¬μ˜ λ°°κ²½ 1 2. μ—°κ΅¬μ˜ λͺ©μ  및 방법 3 3. μ—°κ΅¬μ˜ λ²”μœ„ 4 4. μ—°κ΅¬μ˜ ꡬ성 5 II. 선행연ꡬ 6 1. 주택 ν•˜μœ„μ‹œμž₯에 κ΄€ν•œ 연ꡬ 6 1) μ£Όνƒμ‹œμž₯의 νŠΉμ„± 6 2) 주택 ν•˜μœ„μ‹œμž₯의 κ°œλ…κ³Ό 의미 10 3) λ³Έ μ—°κ΅¬μ—μ„œμ˜ 주택 ν•˜μœ„μ‹œμž₯의 μ •μ˜ 13 4) 주택 ν•˜μœ„μ‹œμž₯ 뢄석 방법 13 5) ꡰ집뢄석을 μ΄μš©ν•œ 주택 ν•˜μœ„μ‹œμž₯ 뢄석 및 연ꡬ 차별성 14 2. κ±°μ‹œκ²½μ œμ™€ μ£Όνƒμ‹œμž₯ 17 1) ꡭ내총생산과 주택가격 18 2) 금리과 주택가격 18 3) ν†΅ν™”λŸ‰κ³Ό 주택가격 19 4) 물가와 주택가격 19 3. λ¨Έμ‹ λŸ¬λ‹μ„ ν†΅ν•œ 주택 κ°€κ²©μ˜ˆμΈ‘μ— κ΄€ν•œ 연ꡬ 21 III. μ„œμšΈ(μˆ˜λ„κΆŒ)의 μ•„νŒŒνŠΈ μ‹œμž₯ν˜„ν™© 24 1. μˆ˜λ„κΆŒμ˜ μ£Όκ±° 곡간ꡬ쑰 24 1) μˆ˜λ„κΆŒ 인ꡬ뢄포 24 2) μ£Όνƒμœ ν˜•λ³„ 곡간ꡬ쑰 27 3) μ•„νŒŒνŠΈ κ°€κ²©μ˜ 곡간ꡬ쑰 31 2. μˆ˜λ„κΆŒ μ•„νŒŒνŠΈ 가격변화 34 1) μ•„νŒŒνŠΈ 가격변화 34 2) 규λͺ¨λ³„ μ•„νŒŒνŠΈ 가격변화 35 IV. ꡰ집 뢄석을 ν†΅ν•œ ν•˜μœ„μ‹œμž₯ νŒŒμ•… 37 1. μ‹œκ³„μ—΄ ꡰ집λͺ¨ν˜• 방법둠 37 1) κ΅°μ§‘λΆ„μ„μ˜ κ°œλ… 및 ꡰ집화 μ•Œκ³ λ¦¬μ¦˜ 37 2) μ‹œκ³„μ—΄ ꡰ집 뢄석과 μœ μ‚¬μ„± 척도 40 3) μœ μ‚¬μ„± 척도 : Global Alignment Kernel(GAK) 43 4) 쀑심 μΆ”μΆœ : Partitioning Around medoid(PAM) 45 2. 뢄석 λŒ€μƒ μ„ μ • 및 자료의 μ „μ²˜λ¦¬ 47 1) 규λͺ¨ ꡬ뢄 47 2) 규λͺ¨λ³„ μ•„νŒŒνŠΈ 단지 λ‹¨μœ„ λŒ€ν‘―κ°’ μΆ”μΆœ 49 3) 뢄석 λŒ€μƒ μ„ μ • 49 3. λΆ„μ„κ°œμš” 51 4. κ΅°μ§‘μ˜ 수 κ²°μ • 53 5. 결과뢄석 55 1) ꡰ집 뢄석 κ²°κ³Ό κ°œμš” 55 2) ꡰ집 1 : μ„œμšΈ λ™λ‚¨κΆŒ 65 3) ꡰ집 2 : μ„œμšΈ μ†Œν˜• 68 4) ꡰ집 3 : μ„œμšΈ μ€‘μ†Œν˜• 71 5) ꡰ집 4 : μ„œμšΈ λ™λΆκΆŒ 74 6) ꡰ집 5 : μ‹ λ„μ‹œ μ€‘μ†Œν˜• 77 7) ꡰ집 6 : μ‹ λ„μ‹œ μ€‘λŒ€ν˜• 80 8) ꡰ집 7 : μˆ˜λ„κΆŒ μ†Œν˜• 83 6. μ†Œκ²° 86 V. 인곡신경망 λͺ¨ν˜•μ„ μ΄μš©ν•œ κ°€κ²©μ§€μˆ˜ 예츑 89 1. 인곡신경망 예츑λͺ¨ν˜• 방법둠 89 1) 인곡신경망 λͺ¨ν˜•μ˜ κ°œλ…κ³Ό λ°°κ²½ 89 2) μˆœν™˜μ‹ κ²½λ§ λͺ¨ν˜• 94 3) LSTM μ•Œκ³ λ¦¬μ¦˜ 97 2. λ³€μˆ˜μ˜ μ„ μ • 100 3. λͺ¨ν˜• κ°œμš” 101 1) 뢄석 κ³Όμ • 및 자료의 처리 101 2) 미래 μ˜ˆμΈ‘μ„ μœ„ν•œ λͺ¨ν˜•μ˜ ꡬ성 103 3) λͺ¨ν˜•μ˜ 섀계 104 4. 결과뢄석 106 1) μ˜ˆμΈ‘μ„±λŠ₯ 평가 κ²°κ³Ό 106 2) λ―Έλž˜κ°€κ²©λ³€ν™” 예츑결과 110 5. μ†Œκ²° 112 VI. κ²°λ‘  113 1. κ²°κ³Ό μš”μ•½ 및 ν–₯ν›„ 과제 113 2. 정책적 μ‹œμ‚¬μ  115 β–  μ°Έκ³ λ¬Έν—Œ 116Docto

    μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„±κ³Ό μ„±μž₯에 κ΄€ν•œ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ ν™˜κ²½λŒ€ν•™μ› : ν™˜κ²½κ³„νšν•™κ³Ό(λ„μ‹œλ°μ§€μ—­κ³„νšμ „κ³΅), 2014. 2. κΉ€κ²½λ―Ό.μ„œμšΈμ€ κΈ€λ‘œλ²Œ λ„μ‹œλ‘œ μ§„μž…ν•˜λ©΄μ„œ κΈ‰κ²©ν•œ λ‹€λ¬Έν™” ν˜„μƒμ„ κ²½ν—˜ν•˜κ³  μžˆλ‹€. 건섀, μ œμ‘°μ—…λΏ μ•„λ‹ˆλΌ λŒ€λΆ€λΆ„μ˜ λ„μ‹œν•˜λΆ€μ„œλΉ„μŠ€ λΆ„μ•Όμ—μ„œ μ €λ ΄ν•œ 외ꡭ인 노동λ ₯에 λŒ€ν•œ μ˜μ‘΄λ„λ₯Ό λ†’μ—¬κ°€κ³  μžˆλ‹€. ν˜„μž¬ μ„œμšΈμ˜ 외ꡭ인 λ…Έλ™μž μ€‘μ—μ„œ κ°€μž₯ μ€‘μš”ν•œ 비쀑을 μ°¨μ§€ν•˜κ³  μžˆλŠ” 이듀은 쑰선쑱듀이닀. μ—­μ‚¬μ μœΌλ‘œ λ³Ό λ•Œ ν•œκ΅­μ˜ μž¬μ™Έλ™ν¬λΌ ν•  수 μžˆλŠ” 이듀은 μ–Έμ–΄μ†Œν†΅μ˜ μžμœ λ‘œμ›€κ³Ό μ™Έλͺ¨μ  μœ μ‚¬μ„±μœΌλ‘œ 식당, μ²­μ†Œ, κ°€μ‚¬λ„μš°λ―Έ λ“± λŒ€λΆ€λΆ„μ˜ λ„μ‹œ ν•˜λΆ€μ„œλΉ„μŠ€μ—μ„œ 타 외ꡭ인 λ…Έλ™μžμ— λΉ„ν•΄ 경쟁λ ₯을 가지고 μžˆλ‹€. μ„œμšΈμ— μ •μ°©ν•œ 이듀 노동이주 쑰선쑱듀은 μ˜λ“±ν¬κ΅¬κ³Ό ꡬ둜ꡬλ₯Ό μ€‘μ‹¬μœΌλ‘œ ν•œ μ„œλ‚¨κΆŒ 지역에 μ§‘μ€‘μ μœΌλ‘œ κ±°μ£Όν•˜λ©΄μ„œ 밀집지λ₯Ό ν˜•μ„±ν•˜κ³  μžˆλ‹€. 특히 ꡬ둜ꡬ 가리봉동과 μ˜λ“±ν¬κ΅¬ λŒ€λ¦Ό2λ™μ—λŠ” λ§Žμ€ 수의 μ‘°μ„ μ‘±λ“€κ³Ό 이듀을 μ€‘μ‹¬μœΌλ‘œ ν•œ 상업지역이 ν˜•μ„±λ˜μ–΄ 이ꡭ적인 경관이 λ‚˜νƒ€λ‚˜κ³  μžˆλ‹€. μ΄λŸ¬ν•œ μ‘°μ„ μ‘± 밀집지듀은 일반적으둜 슬럼과 κ²Œν† μ§€μ—­μœΌλ‘œ 여겨지고 있으며, μ–Έλ‘  및 λ„μ‹œκ³„νš μΈ‘λ©΄μ—μ„œμ˜ 관심도 주둜 λ°€μ§‘μ§€μ˜ κ·ΈλŸ¬ν•œ 성격에 초점이 λ§žμΆ°μ Έμžˆλ‹€. κ·ΈλŸ¬λ‚˜ μ„œμšΈμ˜ λ‹€λ₯Έ ν•œνŽΈ 광진ꡬ μžμ–‘4λ™μ—μ„œλŠ” μ‘°μ„ μ‘± μ–‘κΌ¬μΉ˜ 거리가 μ‘°μ„±λ˜μ–΄ 이색적인 λ‹€λ¬Έν™” μ§€μ—­μœΌλ‘œ μ•Œλ €μ§€κ³  μžˆλ‹€. μžμ–‘4동 μ‘°μ„ μ‘± λ°€μ§‘μ§€μ—μ„œμ˜ μ΄λŸ¬ν•œ ν˜„μƒμ€ 비ꡐ적 μ΅œκ·ΌλΆ€ν„°μ˜ λ³€ν™”λ‘œ μŠ¬λŸΌν™”, κ²Œν† ν™” 우렀λ₯Ό λ‚³κ³  μžˆλŠ” μ‘°μ„ μ‘± 밀집지에 λŒ€ν•œ μƒˆλ‘œμš΄ κ°€λŠ₯성을 λ³΄μ—¬μ£ΌλŠ” μ‚¬λ‘€λ‘œ 의미λ₯Ό μ§€λ‹Œλ‹€. λ³Έ μ—°κ΅¬μ—μ„œλŠ” ν˜„μž¬ μ„œμšΈ λ‚΄ μ‘°μ„ μ‘± 밀집지 μ‚¬μ΄μ—μ„œ κ΄€μ°°λ˜λŠ” μ΄λŸ¬ν•œ 성격 및 νŠΉμ„±μ°¨μ΄μ˜ 싀체와 κ·Έ 의미λ₯Ό νŒŒμ•…ν•˜κ³ μž ν•˜μ˜€λ‹€. 이에 따라 가리봉동, λŒ€λ¦Ό2동, μžμ–‘4λ™μ˜ μ‘°μ„ μ‘± 밀집지λ₯Ό λŒ€μƒμœΌλ‘œ 비ꡐ뢄석을 μ§„ν–‰ν•˜μ˜€λ‹€. 외ꡭ인 밀집지에 λŒ€ν•œ 기쑴의 연ꡬ듀을 λ°”νƒ•μœΌλ‘œ κ°œλ…μ  μΈ‘λ©΄μ—μ„œ μ‘°μ„ μ‘± 밀집지λ₯Ό μ‘°μ„ μ‘± 주거밀집지와 μ‘°μ„ μ‘± μ€‘μ‹¬μ˜ μƒμ—…μ§€μ—­μœΌλ‘œ λŒ€λ³„ν•˜μ—¬ 각각의 κ΄€μ μ—μ„œ λΉ„κ΅λΆ„μ„ν•˜μ˜€μœΌλ©°, κ·Έ κ²°κ³Όλ₯Ό μ€‘μ‹¬μœΌλ‘œ μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 및 μ„±μž₯ 과정을 μ •λ¦¬ν•˜μ˜€λ‹€. λ¬Έν—Œμ—°κ΅¬μ™€ ν˜„μž₯쑰사, 곡간뢄석, 심측면접 λ“±μ˜ 과정을 톡해, 각 μ‘°μ„ μ‘± 밀집지듀이 주거와 상업지역 μΈ‘λ©΄μ—μ„œ λ‹€μ–‘ν•œ 차이λ₯Ό 보이고 μžˆμŒμ„ ν™•μΈν•˜μ˜€λ‹€. 각 지역은 주거밀집지 ν˜•μ„±κ³Όμ •κ³Ό μ„±μž₯의 κ³Όμ •μ—μ„œ μ—¬λŸ¬ μš”μΈμ˜ 영ν–₯을 λ°›μ•˜λ‹€. λ˜ν•œ ν˜„ν™© λ©΄μ—μ„œ μ‘°μ„ μ‘± 인ꡬ밀도와 뢄포, 주거의 질 λ“±μ—μ„œ 차이λ₯Ό 보이고 있으며, 상업지역 μΈ‘λ©΄μ—μ„œλ„ μƒμ—…μ§€μ—­μ˜ μ„±μž₯속도와 규λͺ¨, μƒμ—…μ‹œμ„€μ˜ μž…μ§€ 및 λ°°μΉ˜ν˜•νƒœ, μ΄μš©κ°κ΅¬μ„±, μƒμ—…μ§€μ—­μ—μ„œμ˜ κ²½μŸμ˜μ‹ 등에 μžˆμ–΄μ„œλ„ μ§€μ—­λ³„λ‘œ μ„œλ‘œ λ‹€λ₯Έ νŠΉμ„±μ΄ λ‚˜νƒ€λ‚˜κ³  μžˆμŒμ„ ν™•μΈν•˜μ˜€λ‹€. κ·ΈλŸ¬λ‚˜ μ΄λŸ¬ν•œ 차별적 νŠΉμ„±μ—λ„ λΆˆκ΅¬ν•˜κ³  μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 및 μ„±μž₯에 μžˆμ–΄μ„œ, μž…μ§€κ²°μ •μœΌλ‘œλΆ€ν„° μƒμ—…μ‹œμ„€μ˜ λ“±μž₯κΉŒμ§€μ˜ 과정은 μ„Έ 지역 λͺ¨λ‘μ—μ„œ λ™μΌν•œ μ–‘μƒμœΌλ‘œ μ „κ°œλ˜μ—ˆμŒμ„ λ°œκ²¬ν•˜μ˜€λ‹€. μ‘°μ„ μ‘± μžμ˜μ—…μžλ“€μ˜ λ“±μž₯κ³Ό μ„±μž₯이 μ‘°μ„ μ‘± 밀집지λ₯Ό 톡해 μžμ—°μŠ€λŸ½κ²Œ μ§„ν–‰λ˜κ³  μžˆμ—ˆλ‹€. μ΄λŸ¬ν•œ κ²°κ³ΌλŠ” λ„μ‹œ λ‚΄ 낙후·쇠퇴지역에 μž…μ§€ν•˜κ²Œ λ˜λŠ” μ‘°μ„ μ‘± 밀집지가 μžμƒμ  μ„±μž₯과정을 톡해 μ§€μ—­κ°œμ„ μ—κΉŒμ§€ 영ν–₯을 λ―ΈμΉ  수 μžˆμŒμ„ μ‹œμ‚¬ν•˜λŠ” 것이닀. λ™μ‹œμ— λ„μ‹œν•˜λΆ€κ³„μΈ΅μ˜ λ°€μ§‘μ§€λ‘œμ„œ ν˜„μž¬μ˜ μ‘°μ„ μ‘± λ°€μ§‘μ§€μ—μ„œ 우렀되고 μžˆλŠ” μŠ¬λŸΌν™”μ™€ κ²Œν† ν™”μ— λŒ€ν•œ μƒν’ˆν™”λ  수 μžˆλŠ” λ¬Έν™”κ³΅κ°„μœΌλ‘œμ„œμ˜ κ°€λŠ₯μ„±κ³Ό λŒ€μ•ˆμ„ μ œμ‹œν•˜κ³  μžˆλ‹€.I. μ„œλ‘  1. 연ꡬ λ°°κ²½ 및 λͺ©μ  1) μ—°κ΅¬μ˜ λ°°κ²½ 2) μ—°κ΅¬μ˜ λͺ©μ  2. μ—°κ΅¬μ˜ λ²”μœ„ 1) λ‚΄μš©μ  λ²”μœ„ 2) μ—°κ΅¬μ˜ 곡간적 λ²”μœ„ 3. μ—°κ΅¬μ˜ 방법 II. 선행연ꡬ κ³ μ°° 1. 이둠적 λ°°κ²½ 1) 외ꡭ인 λ°€μ§‘μ§€μ˜ κ°œλ… 2) κΈ€λ‘œλ²Œ λ„μ‹œμ™€ 외ꡭ인 λ°€μ§‘μ§€μ˜ ν˜•μ„± 3) 외ꡭ인 λ°€μ§‘μ§€μ˜ κΈ°λŠ₯ 및 μ—­ν•  4) 이둠적 κ³ μ°° 정리 2. κ΅­λ‚΄ 선행연ꡬ κ³ μ°° 1) μ‘°μ„ μ‘±μ˜ 역사적 λ°°κ²½κ³Ό 이주 νŠΉμ„± 2) κ΅­λ‚΄ 외ꡭ인 밀집지 ν˜•μ„±μ— κ΄€ν•œ 연ꡬ 3) μ‘°μ„ μ‘±μ˜ 이주 및 정착에 κ΄€ν•œ 연ꡬ 4) μ„œμšΈ μ„œλ‚¨κΆŒ μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„±κ³Ό ν˜„ν™©μ— λŒ€ν•œ 연ꡬ 5) 광진ꡬ μžμ–‘4동 μ‘°μ„ μ‘± 밀집지λ₯Ό λŒ€μƒμœΌλ‘œ ν•œ 선행연ꡬ 3. μ„ ν–‰μ—°κ΅¬μ™€μ˜ 차별성 III. μ„œμšΈμ‹œ μ‘°μ„ μ‘± 밀집지 ν˜„ν™© 1. μ‘°μ„ μ‘± 밀집지 ν˜„ν™© 1) μ‘°μ„ μ‘±μ˜ 인ꡬ 뢄포 2) μ„œμšΈμ‹œ μ‘°μ„ μ‘± 밀집지 ν˜„ν™© 3) μ„œμšΈμ‹œ μ‘°μ„ μ‘± μΈκ΅¬λ°€λ„μ˜ 곡간적 λ³€ν™” 2. μ„œμšΈμ‹œ μ‘°μ„ μ‘±μ˜ μœ μž… 1) μ‘°μ„ μ‘± κ΅­λ‚΄ μœ μž… λ°°κ²½ 2) μ‘°μ„ μ‘± μœ μž…μ¦κ°€μ™€ μ •μ°©κ³Όμ •μ—μ„œ μ œλ„μ  여건 마련 IV. μ‘°μ„ μ‘± 주거밀집지 ν˜•μ„±κ³Όμ • 1. 가리봉동 μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 2. λŒ€λ¦Ό2동 μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 1) 가리봉동 μ‘°μ„ μ‘± λ°€μ§‘μ§€λ‘œλΆ€ν„°μ˜ ν™•μž₯ 및 μ΄νƒˆ 2) λŒ€λ¦Ό2동 μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 3. μžμ–‘4동 μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 1) 쀀곡업지역 산업쇠퇴와 인ꡬ 곡동화 2) ꡐ톡접근성 4. μ†Œκ²° 1) μ‘°μ„ μ‘± 정착지 μž…μ§€μš”μΈμ˜ μœ μ‚¬μ„± 2) μ§€μ—­μ˜ 낙후와 λ„μ‹œκ³„νš V. μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ νŠΉμ„±μ°¨μ΄ 1. 차별점 1) λ°°ν›„ 인ꡬ밀도 2) λ°°ν›„μΈκ΅¬μ˜ 뢄포 및 주거의 질 3) 업쒅ꡬ성 λΉ„μœ¨ 4) μƒμ—…μ‹œμ„€μ˜ μž…μ§€ 및 λ°°μΉ˜ν˜•νƒœ 5) μƒμ—…μ§€μ—­μ˜ μ„±μž₯μ‹œκΈ° 및 규λͺ¨ 6) 고객ꡬ성 7) κ²½μŸμ˜μ‹ 2. 곡톡점 1) 운영주체 2) μžλ³Έν˜•μ„± 3) μž…μ§€μ„ νƒ μš”μΈ 4) 뢀동산 κ°€μΉ˜μƒμŠΉ 3. μ†Œκ²° 1) μš”μ•½ 2) 지역별 νŠΉμ„± 차이의 원인 뢄석 3) κ²°κ³Ό 뢄석 VI. μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ ν˜•μ„± 및 μ„±μž₯κ³Όμ • 1. μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ 상업지역 ν˜•μ„±κ³Όμ • 1) 1단계: μ‘°μ„ μ‘± μ£Όκ±°λ°€μ§‘μ§€μ˜ μ‘°μ„± 2) 2단계: μ‘°μ„ μ‘±μ˜ μžλ³ΈμΆ•μ κ³Ό λ„€νŠΈμ›Œν¬ ν˜•μ„± 3) 3단계: μ‘°μ„ μ‘±κ΄€λ ¨ μƒμ—…μ‹œμ„€μ˜ λ“±μž₯ 4) 4단계: μ‘°μ„ μ‘± 쀑심 μƒμ—…μ§€μ—­μ˜ μ„±μž₯ 2. μ†Œκ²° VII. κ²°λ‘  1. μš”μ•½ 2. μ‹œμ‚¬μ  1) μ‘°μ„ μ‘± λ°€μ§‘μ§€μ˜ μ—­ν•  및 κ°€λŠ₯μ„± 2) 정책적 μ‹œμ‚¬μ  β–  μ°Έκ³ λ¬Έν—ŒMaste

    Role of Protease-activated Receptor (PAR) in retinal pigment epithelial cells

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    μ˜ν•™κ³Ό/박사[ν•œκΈ€]Protease-activated receptor(PAR)λŠ” μ΄ˆκΈ°μ— thrombin 수용체둜 μ•Œλ €μ‘ŒμœΌλ©° G-단백 κ²°ν•© 수용체(G-protein coupled receptor; GPCR)λ‘œμ„œ λ…νŠΉν•œ ν™œμ„± λ©”μ»€λ‹ˆμ¦˜μ„ κ°€μ§€λŠ”λ° μ„Έν¬μ™Έμ˜ protease에 μ˜ν•΄μ„œ N-말단 뢀뢄이 잘리게 되면 같은 수용체의 세포외 2번째 고리에 λΆ™μ–΄μ„œ μ‹ ν˜Έμ „λ‹¬μ΄ ν™œμ„±ν™” λœλ‹€. λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬(retinal pigment epithelial cell, RPE cell)λŠ” ν˜ˆμ•‘μœΌλ‘œλΆ€ν„° 포도당, λ ˆν‹°λ†€, 지방산과 같은 μ˜μ–‘λΆ„μ„ κ΄‘μˆ˜μš©μ²΄λ‘œ μš΄λ°˜ν•΄μ£Όλ©°, λ‹€μ–‘ν•œ μ„±μž₯인자λ₯Ό λΆ„λΉ„ν•˜μ—¬ λ§₯락막λͺ¨μ„Έν˜ˆκ΄€λ‚΄ν”Ό 및 κ΄‘μˆ˜μš©μ²΄μ˜ ν˜•νƒœμ  μ•ˆμ •ν™”μ— κ΄€μ—¬ν•œλ‹€. PARλŠ” μ§€ν˜ˆ 및 세포 이동(migration), μ—Όμ¦λ°˜μ‘ 및 톡증에 κ΄€μ—¬ν•˜κ³  μ•”μ„Έν¬μ˜ μ„±μž₯κ³Ό 전이에도 λ°€μ ‘νžˆ κ΄€λ ¨λ˜μ–΄ μžˆλ‹€κ³  λ³΄κ³ λ˜μ—ˆλ‹€. κ·ΈλŸ¬λ‚˜ λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—μ„œ PAR의 λ°œν˜„μ–‘μƒμ΄λ‚˜ κ·Έ μ‘°μ ˆμ— κ΄€ν•œ μ—°κ΅¬λŠ” 아직 λ―Έν‘ν•˜λ‹€. λ”°λΌμ„œ λ³Έ μ—°κ΅¬μ—μ„œλŠ” 첫 번째둜 λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—μ„œ PAR의 λ°œν˜„ νŠΉμ„±μ„ μ‚΄νŽ΄λ³΄κ³ , 두 번째둜 PAR의 λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—μ„œμ˜ μ‹ ν˜Έμ „λ‹¬ 과정을 μ•Œμ•„λ³΄κ³ μž ν•˜μ˜€λ‹€. λ§ˆμ§€λ§‰μœΌλ‘œ PAR의 ν™œμ„±κ³Ό 염증성 사이토카인(inflammatory cytokine)과의 관계λ₯Ό μ•Œμ•„λ³΄κ³ μž ν•˜μ˜€λ‹€. 이λ₯Ό μœ„ν•˜μ—¬ ν˜•κ΄‘ μ—Όλ£Œλ₯Ό μ΄μš©ν•œ 세포 λ‚΄ Ca2+ μΈ‘μ •, μ‹€μ‹œκ°„ 역전사 μ—°μ‡„μ€‘ν•©λ°˜μ‘, flexstation 뢄석법과 같은 μ‹€ν—˜ 방법을 μ΄μš©ν•˜μ˜€μœΌλ©°, λ³Έ μ—°κ΅¬μ˜ μ£Όμš” μ‹€ν—˜κ²°κ³ΌλŠ” λ‹€μŒκ³Ό κ°™λ‹€. 비선택적 PAR νš¨ν˜„μ œμΈ thrombin, trypsin에 μ˜ν•΄ 농도 의쑴적으둜 세포 λ‚΄ Ca2+ 농도가 μ¦κ°€ν•˜μ˜€λ‹€(EC50=3.4Β±0.08 nM, EC50=25.4Β±0.13 nM). λ˜ν•œ 선택적 PAR νš¨ν˜„μ œμΈ TFLLR-NH2(PAR-1)κ³Ό SLIGRL-NH2(PAR-2)에 μ˜ν•΄μ„œλ„ 세포 λ‚΄ Ca2+ 농도가 μ¦κ°€ν•˜μ˜€μœΌλ©° μ΄λŸ¬ν•œ μ¦κ°€λŠ” 세포 μ™Έμ•‘μ˜ Ca2+κ³ΌλŠ” λ¬΄κ΄€ν•˜κ²Œ λ‚΄λΆ€μ—μ„œ μ‘°μ ˆλ¨μ„ μ•Œ 수 μžˆμ—ˆλ‹€. PAR νš¨ν˜„μ œ 처리 μ‹œ μ¦κ°€λœ Ca2+은 PLC μ–΅μ œμ œμΈ U73122 (2 ΞΌM)의 μ „μ²˜μΉ˜μ— μ˜ν•΄μ„œ λŒ€λΆ€λΆ„ μ–΅μ œλ˜λŠ” 것을 ν™•μΈν•˜μ˜€κ³ , λΉ„ν™œμ„± ν˜•νƒœμ˜ μœ μ‚¬μ²΄μΈ U73343 (2 ΞΌM)을 3λΆ„κ°„ μ „μ²˜μΉ˜ ν•˜μ˜€μ„ λ•ŒλŠ” λ³€ν™”κ°€ λ‚˜νƒ€λ‚˜μ§€ μ•Šμ•˜λ‹€. λ˜ν•œ IP3(inositol 1,4,5-trisphosphate) 수용체 λ΄‰μ‡„μ œμΈ 2-APB (50 ΞΌM)의 μ „μ²˜μΉ˜μ— μ˜ν•΄μ„œ PAR νš¨ν˜„μ œμ— μ˜ν•œ 세포 λ‚΄ Ca2+ 증가가 μ–΅μ œλ˜λŠ” 것을 확인할 수 μžˆμ—ˆμœΌλ©°, λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—μ„œ IP3 수용체 μ•„ν˜• 1~3이 λͺ¨λ‘ λ°œν˜„λ˜μ–΄ μžˆλŠ” 것을 ν™•μΈν•˜μ˜€λ‹€. λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—λŠ” PAR의 μ•„ν˜• 1~4κ°€ λͺ¨λ‘ λ°œν˜„λ˜μ–΄ 있으며 PAR-1, 3이 주둜 많이 λ°œν˜„λ˜μ–΄ μžˆλŠ” 것을 μ‹€μ‹œκ°„ 역전사 μ—°μ‡„μ€‘ν•©λ°˜μ‘μœΌλ‘œ ν™•μΈν•˜μ˜€λ‹€. λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬λ₯Ό PAR νš¨ν˜„μ œλ‘œ 24μ‹œκ°„ 처리 μ‹œ 염증성 사이토카인인 TNFa(tumor necrosis factor-a)와 IL-6(interleukin-6)의 λ°œν˜„λŸ‰μ΄ μ¦κ°€ν•˜λŠ” 것을 μ•Œ 수 μžˆμ—ˆλ‹€. μ΄μƒμ˜ κ²°κ³Όλ“€λ‘œλΆ€ν„° λ§λ§‰μƒ‰μ†Œμƒν”Όμ„Έν¬μ—μ„œ PAR ν™œμ„±μ— λ”°λ₯Έ 세포 λ‚΄ Ca2+ μ‘°μ ˆμ€ PLC-IP3λ₯Ό 톡해 이루어지고, PAR ν™œμ„±ν™”μ™€ 염증성 μ‚¬μ΄ν† μΉ΄μΈμ˜ 증가가 μ—°κ΄€λ˜μ–΄ μžˆμŒμ„ μ•Œ 수 μžˆμ—ˆλ‹€. μ΄λŠ” λ§λ§‰μƒ‰μ†Œμƒν”Όμ—μ„œ μ—Όμ¦λ°˜μ‘μ˜ μ‘°μ ˆκΈ°μ „μ„ μ—°κ΅¬ν•˜λŠ”λ° μ€‘μš”ν•œ 기초 μžλ£Œκ°€ 될 κ²ƒμœΌλ‘œ μƒκ°ν•œλ‹€. [영문]Protease-activated receptors (PARs) are G-protein coupled receptors respond to extracellular protease. The retinal pigment epithelium (RPE) cell is a monolayer of cells lying between the retinal photoreceptors and the choroidal blood supply. RPE cells respond to oxidative stress, inflammation, and retinal degeneration. Until now, the expression profile of PARs is still unknown. In this study we identified the role of PARs in RPE cells, such as HRPE and ARPE cell, using fluorescence Ca2+ imaging technique and real-time PCR. Thrombin and trypsin, PAR receptor agonists, increase the [Ca2+]i in a concentration-dependent manner (EC50=3.4Β±0.08 nM, EC50=25.4Β±0.13 nM, respectively). Selective peptide agonist of PAR-1 (TFLLR-NH2) and PAR-2 (SLIGRL-NH2) increase the [Ca2+]i. PAR agonists increase the [Ca2+]i independent of extracellular Ca2+ levels. Furthermore, U73122 (2 ΞΌM), a PLC inhibitor, completely blocked the Ca2+ increment by activation of PAR receptors. The IP3R(inositol 1,4,5-trisphosphate receptors) 1~3 are expressed in RPE cells. All subtype of PAR receptors are identified and PAR-1, PAR-3 dominantly expressed. PAR receptor agonists exposure significantly increased mRNA expression of the pro-inflammatory cytokine TNFa(tumor necrosis factor-a), IL-6(interleukin-6). Taken together, we suggest that PAR receptors in RPE cells may contribute to the pathogenesis of inflammatory disease of the RPE cells.ope

    μž‘ν’ˆμ˜ ꡬ쑰적 λ³€ν™”λ₯Ό μœ„ν•œ 역할놀이 ν˜•νƒœμ˜ μž‘μ—…μ—°κ΅¬

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : μ‘°μ†Œκ³Ό, 2013. 8. μ΄μš©λ•.본인은 μ°Έμ—¬μžκ°€ μ†Œν’ˆμ„ μ΄μš©ν•˜μ—¬ 즉ν₯적인 역할놀이λ₯Ό ν•  수 μžˆλ„λ‘ 곡연μž₯을 λ§Œλ“œλŠ” μž‘μ—…μ„ μ—°κ΅¬ν•˜μ˜€λ‹€. 이 곡연μž₯은 객석과 λ¬΄λŒ€κ°€ 뢄리 λ˜μ–΄μžˆμ§€ μ•Šκ³  μ†Œν’ˆμ„ μ€‘μ‹¬μœΌλ‘œ μ°Έμ—¬μžμ˜ 역할놀이에 따라 μ¦‰κ°μ μœΌλ‘œ λ¬΄λŒ€μ™€ κ°μ„μ˜ μœ„μΉ˜κ°€ μ‘°μ •λ˜λŠ” νŠΉμ§•μ„ μ§€λ‹ˆκ³  μžˆλ‹€. μ—­ν• λ†€μ΄μ˜ 쀑심이 λ˜λŠ” μ†Œν’ˆμ€ ν•™μŠ΅μ„ 톡해 μΆ•μ λœ 도식적인 이미지듀을 ν†΅ν•˜μ—¬ κ΄€κ°μ—κ²Œ 예술 μž‘ν’ˆκ³Όμ˜ λ§Œλ‚¨μ΄λΌλŠ” 일반적인 상황을 μ„  μ—°μΆœν•˜λ©΄μ„œ μ°Έμ—¬μžμ— μ˜ν•΄ λͺ¨μŠ΅μ„ λ³€μ΄ν•˜κ±°λ‚˜ μ‚¬μš©λ˜μ–΄μ§μœΌλ‘œμ¨ 기쑴에 μžˆμ—ˆλ˜ μ΅μˆ™ν•œ 일반적인 상황을 ν•΄μ²΄μ‹œν‚€κ³  μƒˆλ‘œμš΄ 즉ν₯적인 역할놀이에 μ°Έμ—¬ν•  수 μžˆλ„λ‘ μœ λ„ν–ˆλ‹€. λ³Έ μ—°κ΅¬λŠ” 예술과 κ΄€κ°μ΄λΌλŠ” μ΄λΆ„λ²•μ μ„ μ˜ 경계λ₯Ό λͺ¨ν˜Έν•˜κ²Œ ν•˜κ³  μœ λ™μ μœΌλ‘œ μ΄λ™μ‹œν‚€λŠ” κ²ƒμœΌλ‘œλΆ€ν„° μ‹œμž‘λ˜μ—ˆλ‹€. μ΄λŠ” μ°Έμ—¬μžμ—κ²Œ μ†Œν’ˆμ„ μ΄μš©ν•΄ 즉ν₯적인 κ³΅μ—°μžμ˜ 역할을 λΆ€μ—¬ν•˜κ²Œ ν•˜λŠ” λ°©μ‹μœΌλ‘œ κ΅¬ν˜„λ˜μ—ˆλ‹€. μ°Έμ—¬μžμ˜ 개인적인 μƒνƒœλ‚˜ 행동방식, λ˜λŠ” 주관적인 생각에 따라 μž‘ν’ˆμ˜ ν˜•νƒœλ‚˜ λ‚΄μš©μ„ λ³€ν™”μ‹œν‚¬ 수 있게 ν•¨μœΌλ‘œμ¨ μƒˆλ‘œμš΄ μ£Όμ²΄μžλ‘œμ„œμ˜ κ²½ν—˜ κ°€λŠ₯ν•˜κ²Œ ν•˜λŠ” λ°©μ‹μœΌλ‘œ μž‘μ—…μ„ μ§„ν–‰ν•˜μ˜€λ‹€. μ†Œν’ˆμ΄ μ°Έμ—¬μžμ— μ˜ν•΄ μ‚¬μš©λ˜μ–΄μ§μ— 따라 μ „μ‹œλ˜μ–΄ μžˆλŠ” μž₯μ†Œμ˜ μ˜λ―Έλ„ μžμ—°μŠ€λŸ½κ²Œ μ΄λ™ν•˜κ²Œ λ¨μœΌλ‘œμ„œ 예술과 관객 그리고 λ¬΄λŒ€λΌλŠ” 쑴재둠적으둜 κ²°ν•λœ κ΄€κ³„μ˜ μ˜λ―Έμ— λŒ€ν•œ μ§ˆλ¬Έμ„ λ˜μ§€λŠ” μ‹μœΌλ‘œ κ·€κ²°λœλ‹€. μ „μ‹œλΌλŠ” νΌν¬λ¨ΌμŠ€λŠ” μ „μ‹œμž₯, μž‘ν’ˆ 그리고 κ΄€κ°μ΄λΌλŠ” μ„Έ μš”μ†Œλ‘œ κ΅¬μ„±λ˜μ–΄ μžˆλ‹€. 이 μ„Έ 뢀뢄은 λ…λ¦½μ μœΌλ‘œ μ‘΄λ¦½λ˜μ§€ μ•ŠλŠ” 쑴재둠적 κ²°ν•μ˜ λŒ€μƒμ΄λ‹€. 이 λΆ€λΆ„ 쀑 ν•˜λ‚˜μ˜ κ²°ν•μœΌλ‘œλ„ 이상적인 νΌν¬λ¨ΌμŠ€λŠ” 진행될 수 μ—†λ‹€. 본인은 이런 연결고리λ₯Ό λ§ˆλ ¨ν•  μ λ²•ν•œ μž₯치λ₯Ό κ³ μ•ˆν•˜λŠ”λ° μ§‘μ€‘ν•˜κ²Œ λ˜μ—ˆλ‹€. 본인은 μž‘ν’ˆμžμ²΄λ₯Ό μ œμž‘ν•˜λŠ” μ œμž‘μžμ— μœ„μΉ˜μ— 머무λ₯΄μ§€ μ•Šκ³ , λ³Έ μž‘μ—…μ„ ν†΅ν•˜μ—¬ μ „μ‹œλΌλŠ” μž₯이 μ§€λ‹ˆλŠ” 이 μš”μ†Œλ₯Ό 관계성에 λŒ€ν•œ μ§ˆλ¬Έμ„ μ°Ύμ•„κ°μœΌλ‘œμ„œ 이λ₯Ό μ‘°ν•©ν•œ μ‹€μž¬μ μΈ 퍼포먼슀λ₯Ό κ΅¬ν˜„ν•˜κ³ μž ν•œλ‹€.I researched ways to create venues in which participants could use props to engage in spontaneous role-plays. This venue has the characteristic that, instead of separating the stage from the seats, they could be moved around spontaneously depending on the audience's role-play. The props, which play a central part of the role-play, allow the audience to meet with a work of art through its schematic images. But as the props undergo change through the audience's participation, the familiar scenery changes and a spontaneous role-play unfolds. This study is premised on the ambiguation of the familiar art-audience dualism, and aims, through the use of props, to move the participants towards spontaneity. Thus, the audience is imbued with the role of the performer. According to the whim or idiosyncrasy of the participant, the form and content of the work is subject to change, thus allowing the audience to experience what it feels like to be an artist-subject. Through the participant's use of props, the meaning of the venue, too, changes, and this finally allows for the meaning of the ontologically deficient relationship between art, audience, and venue, to be critically questioned. The performance of displaying artwork is composed of three elements: the venue, the artwork, and the audience. None of these three elements can stand on their own, and are all subject to ontological deficiency. If any one element is lacking, the performance will be less than ideal. My work focused on finding the right connecting link between these elements. Thus, in this work, I was not content to remain merely as the manufacturer of my artwork. Rather, by questioning the relationship between the three elements in a display, I aimed to bring them together in an actual performance.λͺ© μ°¨ I. λ“€μ–΄κ°€λ©° 1 β…‘. μž‘μ—…μ˜ ν˜•νƒœμ  νŠΉμ„± - μž‘μ—…μ‹€μ—μ„œ 2 1. μ™Έν˜• μ„€μ • 단계 4 2. λ‚΄ν˜• μ„€μ • 단계 4 β…’. μž‘μ—…μ˜ μ „κ°œ – μ „μ‹œ κ³΅κ°„μ—μ„œ 5 1. 일반적 μž‘μ—…μœΌλ‘œμ˜ 인쀀 단계 – 관객 κΈ°λ§Œν•˜κΈ° 5 2. μ—­ν• κ·ΉμœΌλ‘œ μ‹œμž‘μ„ μ•Œλ¦¬λŠ” 단계 - μ‚Όλ©΄ν™” ν˜•μ‹μ„ ν†΅ν•œ 극적 μ „ν™˜ 6 3. λ‚―μ„  μƒν™©μ˜ μ—°μΆœ – κ±°μ§“μž‘ν’ˆμ˜ μ†Œν’ˆν™” 단계 7 4. μ—­ν•  놀이 단계 – μ°Έμ—¬μžμ— μ˜ν•œ μ™„μ„± 10 β…£. μ΄λ―Έμ§€μ˜ νŒŒκ΄΄μ™€ ν˜„μž¬μ˜ μ „κ°œ 12 β…€. μ „μ‹œμž₯의 ꡬ쑰 λ³€ν™” 13 β…₯. λ‚˜κ°€λ©° 15 Abstract 17Maste

    A legal study on "Epuity TRS" - Focusd on legal metters and improvement plans associated with mandatory disclosure, treasury stock, mutual owned stock and circular investment

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 법학과, 2017. 2. λ…Έν˜μ€€.μ΄μˆ˜μ΅μŠ€μ™‘(Total return swap) κ±°λž˜λŠ” μž₯μ™ΈνŒŒμƒκΈˆμœ΅κ±°λž˜ 쀑 ν•˜λ‚˜λ‘œ κΈ°μ΄ˆμžμ‚°μ—μ„œ λ°œμƒν•  수 μžˆλŠ” 경제적 손읡을 κ±°λž˜μƒλŒ€λ°©μ—κ²Œ μ΄μ „ν•˜κ³  κ·Έ κΈ°μ΄ˆμžμ‚°μ˜ μœ„ν—˜μ„ νšŒν”Όν•˜κΈ° μœ„ν•œ κΈˆμœ΅κ±°λž˜κ³„μ•½μΈλ°, 주식을 거래의 κΈ°μ΄ˆμžμ‚°μœΌλ‘œ ν•˜λŠ” 경우 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ΄λΌκ³  ν•œλ‹€. 주식 μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό ν†΅ν•˜μ—¬ μ΄μˆ˜μ΅μ§€κΈ‰μžλŠ” μ•½μ •λœ κΈ°κ°„ λ™μ•ˆ 주식을 λ§€κ°ν•˜μ§€ μ•Šκ³ λ„ μ£Όμ‹μ—μ„œ νŒŒμƒλ  수 μžˆλŠ” μ‹œμž₯μœ„ν—˜(market risk)μœΌλ‘œλΆ€ν„° 보호될 수 μžˆλ‹€. ν•œνŽΈ κ±°λž˜μƒλŒ€λ°©μΈ μ΄μˆ˜μ΅μˆ˜λ ΉμžλŠ” μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό ν†΅ν•˜μ—¬ κΈˆμœ΅λΉ„μš© λ“±μ˜ μƒλ‹Ήμ˜ μˆ˜μˆ˜λ£Œλ§ŒμœΌλ‘œλ„ μ£Όμ‹μœΌλ‘œλΆ€ν„° λ°œμƒλ˜λŠ” 경제적 손읡을 λͺ¨λ‘ μˆ˜μ·¨ν•˜μ—¬ 마치 μ£Όμ‹μ˜ 경제적 손읡을 μ†Œμœ ν•˜λŠ” 것과 같은 효과λ₯Ό λ‚Έλ‹€. 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ΄ μ΄λŸ¬ν•œ μ‹œμž₯μœ„ν—˜ νšŒν”Ό λ˜λŠ” 경제적 투자 λͺ©μ μœΌλ‘œ μ΄λ£¨μ–΄μ§€λŠ” κ±°λž˜κ°€ μ•„λ‹ˆλΌ λ‹€λ₯Έ 법령을 νšŒν”Όν•  λͺ©μ μœΌλ‘œ μ΄μš©λ˜λŠ” 것에 λΆˆκ³Όν•˜λ‹€λ©΄ μ΄λŠ” μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό λ‚¨μš©ν•œ 것에 λΆˆκ³Όν•˜λ‹€. 이 λ…Όλ¬Έμ—μ„œλŠ” 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ„ ν†΅ν•˜μ—¬ μ‹œμž₯μ°Έκ°€μžλ“€μ΄ νšŒν”Όν•  수 μžˆλŠ” 각쒅 λ²•λ Ήμ˜ λ‚΄μš©μ— λŒ€ν•˜μ—¬ μ‚΄νŽ΄λ³΄κ³  μ„€λ Ή μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό μ²΄κ²°ν•˜μ—¬ μ΄μˆ˜μ΅μ§€κΈ‰μžμ—κ²Œ 주식을 μ²˜λΆ„ν•˜μ˜€λ”λΌλ„ 마치 μ΄μˆ˜μ΅μˆ˜λ Ήμžκ°€ μ΄μˆ˜μ΅μ§€κΈ‰μžλ₯Ό ν†΅ν•˜μ—¬ μ‹€μ§ˆμ μœΌλ‘œ 이λ₯Ό μ†Œμœ ν•˜λŠ” κ²ƒμœΌλ‘œ 보아 μ—¬μ „νžˆ ν•΄λ‹Ή 법λ₯  κ·œμ •μ„ μ μš©ν•  수 μžˆλŠ”μ§€, 그리고 μ΄μˆ˜μ΅μ§€κΈ‰μžλŠ” μ΄μˆ˜μ΅μˆ˜λ Ήμžμ—κ²Œ 경제적 이해관계λ₯Ό μ „λΆ€ μ΄μ „ν•˜μ˜€κΈ° λ•Œλ¬Έμ— 그의 의결ꢌ 행사가 경제적 이읡 μ—†λŠ” 의결ꢌ의 λ‚¨μš©ν–‰μœ„μΈμ§€ μ•Œμ•„λ³΄μ•˜λ‹€. ν•˜μ§€λ§Œ ν˜„ν–‰ λ²•κ·œλŠ” 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ„ ν™œμš©ν•œ λ‚¨μš©ν–‰μœ„λ₯Ό μ˜ˆμΈ‘ν•˜μ§€ λͺ»ν•˜μ˜€κΈ° λ•Œλ¬Έμ— μ΄μˆ˜μ΅μŠ€μ™‘μ„ ν†΅ν•˜μ—¬ 각쒅 법령λ₯Ό νšŒν”Όν•˜λŠ” ν–‰μœ„λ₯Ό μ°¨λ‹¨ν•˜κΈ°κ°€ 쉽지 μ•Šλ‹€. μ΄λŸ¬ν•œ 점에 μ£Όλͺ©ν•˜μ—¬ 이 λ…Όλ¬Έ 제2μž₯μ—μ„œ μ΄μˆ˜μ΅μŠ€μ™‘μ˜ μΌλ°˜λ‘ μœΌλ‘œμ„œ 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ μ΄μˆ˜μ΅μˆ˜λ Ήμžκ°€ κΈ°μ΄ˆμžμ‚°μΈ 주식을 μ‹€μ§ˆμ μœΌλ‘œ μ†Œμœ ν•˜κ³  μžˆλ‹€κ³  λ³Ό 수 μžˆλŠ”μ§€ μ‚΄νŽ΄λ³΄μ•˜λ‹€. 이에 λ”°λ₯΄λ©΄ 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ μ΄μˆ˜μ΅μˆ˜λ Ήμžκ°€ κ·Έ 주식에 λŒ€ν•˜μ—¬ μ‹€μ§ˆμ μœΌλ‘œ μ†Œμœ ν•˜κ³  μžˆλ‹€κ³  λ‹¨μ •ν•˜κΈ° μ–΄λ ΅κ³  λ‹€λ§Œ 거래의 ꡬ체적인 νƒœμ–‘, ν•΄λ‹Ή 법λ₯  κ·œμ •μ˜ λ‚΄μš©, κ±°λž˜κ΄€ν–‰ 등을 μ’…ν•©ν•˜μ—¬ κ°œλ³„μ μœΌλ‘œ νŒλ‹¨ν•  수 밖에 μ—†λ‹€. 여기에 λΆ€κ°€μ μœΌλ‘œ μ΄μˆ˜μ΅μ§€κΈ‰μžμ˜ 경제적 이읡 μ—†λŠ” 의결ꢌ 행사에 κ΄€ν•˜μ—¬λ„ μ‚΄νŽ΄λ³΄μ•˜λ‹€. 제3μž₯μ—μ„œλŠ” κ°λ‘ μœΌλ‘œμ„œ μžλ³Έμ‹œμž₯법상 보고의무λ₯Ό νšŒν”Όν•˜κΈ° μœ„ν•˜μ—¬ 주식 μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό ν™œμš©ν•˜λŠ” 경우 μ˜ˆμƒλ˜λŠ” λ¬Έμ œμ μ— λŒ€ν•˜μ—¬ μ‚΄νŽ΄λ³΄κ³  법적 규율 μ—¬λΆ€ 및 κ·Έ λ°©μ•ˆμ— λŒ€ν•˜μ—¬ 연ꡬ해 λ³΄μ•˜λ‹€. λ³΄κ³ μ˜λ¬΄λŠ” μ‹œμž₯μ°Έκ°€μžλ“€μ—κ²Œ 주식정보λ₯Ό μ œκ³΅ν•¨μœΌλ‘œμ¨ μ‹œμž₯에 λŒ€ν•œ 신뒰와 거래의 νš¨μœ¨μ„±μ„ μ¦μ§„μ‹œν‚€λŠ” κΈ°λŠ₯을 ν•˜κ³  μžˆλŠ”λ° 주식 μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό ν†΅ν•˜μ—¬ μ£Όμ‹μ†Œμœ μ— κ΄€ν•œ 정보λ₯Ό μ€νν•˜μ—¬ μ‹œμž₯μ°Έκ°€μžλ“€μ—κ²Œ 손해λ₯Ό λΌμΉ˜κ±°λ‚˜ μžλ³Έμ‹œμž₯에 λŒ€ν•œ μ‹ λ’°λ₯Ό 훼손할 μœ„ν—˜μ΄ μžˆμœΌλ―€λ‘œ μ΄λŸ¬ν•œ μ‹œλ„μ— λŒ€ν•˜μ—¬ ν•΄μ„λ‘ μœΌλ‘œμ„œ 법적 κ·œμœ¨μ„ κ°€ν•˜κ±°λ‚˜ μž…λ²•μ„ ν†΅ν•˜μ—¬ λ°©μ§€ν•˜λ„λ‘ ν•˜μ—¬μ•Ό ν•œλ‹€. λ‚˜μ•„κ°€ μœ„ λ³΄κ³ μ˜λ¬΄λŠ” μ΄μˆ˜μ΅μ§€κΈ‰μžκ°€ 경제적 이읡 μ—†λŠ” μ˜κ²°κΆŒμ„ λ‚¨μš©ν•œ ν–‰μœ„μ™€λ„ λ°€μ ‘ν•œ 연관이 μžˆμœΌλ―€λ‘œ κ·ΈλŸ¬ν•œ λ‚¨μš©ν–‰μœ„λ‘œ μΈν•˜μ—¬ λ‚˜νƒ€λ‚˜λŠ” 문제점과 κ°œμ„ λ°©μ•ˆμ— λŒ€ν•˜μ—¬λ„ ν•¨κ»˜ λͺ¨μƒ‰ν•΄ λ³΄μ•˜λ‹€. 제4μž₯μ—μ„œλŠ” 상법상 μžκΈ°μ£Όμ‹ κΈˆμ§€, μƒν˜Έμ£Όμ‹ 의결ꢌ μ œν•œ κ·œμ • 및 κ³΅μ •κ±°λž˜λ²•μƒ μƒν˜ΈμΆœμž 및 μˆœν™˜μΆœμž κΈˆμ§€κ·œμ • 등을 νšŒν”Όν•˜κΈ° μœ„ν•˜μ—¬ 주식 μ΄μˆ˜μ΅μŠ€μ™‘ 거래λ₯Ό ν™œμš©ν•˜κ³  μžˆλŠ” 경우의 λ¬Έμ œμ μ„ μ‚΄νŽ΄λ³΄κ³  이λ₯Ό μžκΈ°κ³„μ‚°μ˜ λ²•λ¦¬λ‘œ κ·œμœ¨ν•  수 μžˆλŠ”μ§€, ν•œκ³„κ°€ μžˆλ‹€λ©΄ μž…λ²•λ‘ μœΌλ‘œμ„œ 이λ₯Ό κ·œμœ¨ν•˜λŠ” λ°©μ•ˆμ— λŒ€ν•˜μ—¬ 연ꡬ해 λ³΄μ•˜λ‹€. 이에 λ”°λ₯΄λ©΄ 상법상 μžκΈ°μ£Όμ‹, μƒν˜Έμ£Όμ‹μ΄λ‚˜ κ³΅μ •κ±°λž˜λ²•μƒ μƒν˜ΈμΆœμž λ˜λŠ” μˆœν™˜μΆœμžμ˜ 경우 κ°€κ³΅μžλ³Έμ˜ λ¬Έμ œλŠ” 보고의무 κ·œμ •μœΌλ‘œ ν•΄κ²°ν•  κ°€λŠ₯성이 μžˆμœΌλ‚˜ νšŒμ‚¬ μ§€λ°°κ΅¬μ‘°μ˜ μ™œκ³‘μ΄λ‚˜ 경제λ ₯ μ§‘μ€‘μ˜ λ¬Έμ œλŠ” 보고의무λ₯Ό λΆ€κ³Όν•˜λŠ” κ²ƒλ§ŒμœΌλ‘œλŠ” ν•΄κ²°ν•  수 μ—†μœΌλ―€λ‘œ 의결ꢌ μ œν•œ λ“±μ˜ 쑰치둜 이λ₯Ό κ·œμœ¨ν•˜μ—¬μ•Ό ν•  것이닀. 이와 κ΄€λ ¨ ν•΄μ„λ‘ μœΌλ‘œ μžκΈ°κ³„μ‚°μ˜ 법리에 따라 κ·œμœ¨ν•  수 μžˆμ„ κ²ƒμœΌλ‘œ λ³΄μ΄λ‚˜ μ—¬λŸ¬ ν•œκ³„μ μ΄ μ‘΄μž¬ν•˜λ―€λ‘œ 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ„ μ§μ ‘μ μœΌλ‘œ κ·œμœ¨ν•˜λŠ” λ°©μ‹μœΌλ‘œ μž…λ²•μ‘°μΉ˜λ₯Ό ν•˜λŠ” λ°©μ•ˆλ„ 생각해 λ³Ό 수 μžˆλ‹€.제 1 μž₯ μ„œλ‘  1 제 2 μž₯ 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ 기본적 법리 3 제 1 절 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ 의의 3 1. κ°œλ… 3 2. 기본적 법λ₯ κ΄€κ³„ 5 3. λ‹Ήμ‚¬μž 및 κΈ°μ΄ˆμžμ‚° 6 제 2 절 ν™œμš© ν˜„ν™© 7 1. μ΄μˆ˜μ΅μŠ€μ™‘μ˜ 거래규λͺ¨ 7 2. 경제적 νš¨μš©μ„± 7 3. κ΄€λ ¨ λ²•κ·œ νšŒν”Ό 8 κ°€. μ •λ³΄κ³΅κ°œ, μžκΈ°μ£Όμ‹μƒν˜Έμ£Όμ‹μˆœν™˜μΆœμžκΈˆμ§€ κ·œμ • νšŒν”Ό 8 λ‚˜. λΆˆκ³΅μ • λ˜λŠ” λΆ€μ •κ±°λž˜ν–‰μœ„λ‘œμ˜ μ•…μš© 9 제 3 절 법적 성격 10 1. μžλ³Έμ‹œμž₯법상 성격 10 2. 사법상 성격 11 κ°€. κ΅¬λ³„κ°œλ… 11 λ‚˜. 볡합계약 내지 λΉ„μ „ν˜•κ³„μ•½ 14 λ‹€. μŒλ¬΄κ³„μ•½ 14 제 4 절 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ λ‚¨μš©κ³Ό μ‹€μ§ˆμ  μ†Œμœ  14 1. 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ˜ λ‚¨μš© 15 2. μ‹€μ§ˆμ  μ†Œμœ μ™€ κ²°λΆ€λœ μ΄μˆ˜μ΅μŠ€μ™‘ κ±°λž˜λ‚΄μš©μ˜ ꡬ성 16 κ°€. 의결ꢌ 16 λ‚˜. λ§€λ§€μ˜ˆμ•½μ™„κ²°κΆŒ, λ§€μˆ˜μ˜΅μ…˜ λ“± 17 λ‹€. μ†μ΅μ˜ 귀속 18 라. 이읡배당 18 마. 정리 19 3. 주식 μ΄μˆ˜μ΅μŠ€μ™‘ 거래의 각 μœ ν˜•λ³„ 비ꡐ 19 κ°€. μ£Όμ‹μ·¨λ“μžκΈˆμ„ μ‘°λ‹¬ν•˜μ§€ μ•Šμ€ 경우 20 λ‚˜. μ£Όμ‹μ·¨λ“μžκΈˆμ„ μˆ˜λ Ήμžκ°€ μ‘°λ‹¬ν•œ 경우 20 λ‹€. μ£Όμ‹μ·¨λ“μžκΈˆμ„ μ§€κΈ‰μžκ°€ μ‘°λ‹¬ν•œ 경우 21 라. μ‹€λ¬Όκ²°μ œν˜• μ΄μˆ˜μ΅μŠ€μ™‘μ˜ 경우 23 마. 정리 23 4. μ‹€μ§ˆμ  μ†Œμœ  νŒλ‹¨μ„ μœ„ν•œ 법λ₯ ν•΄μ„ 기제 24 κ°€. μ‹€μ§ˆμ  μ†Œμœ μ˜ κ°œλ… 24 λ‚˜. μ‹€μ§ˆμ  μ†Œμœ μ˜ νŒλ‹¨κΈ°μ œ 25 λ‹€. μ΄μˆ˜μ΅μŠ€μ™‘μ—μ˜ 적용 26 제 5 절 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ„ ν™œμš©ν•œ 의결ꢌ 행사 27 제 6 절 μ†Œκ²°λ‘  29 제 3 μž₯ μ£Όμ‹λ³΄μœ  μ •λ³΄κ³΅κ°œμ™€ μ΄μˆ˜μ΅μŠ€μ™‘ 30 제 1 절 κ°œκ΄€ 30 제 2 절 μ •λ³΄κ³΅κ°œ 등에 κ΄€ν•œ ν˜„ν–‰ μ œλ„ λ‚΄μš© 31 1. μ œλ„μ˜ λ‚΄μš© 31 2. 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ— λŒ€ν•œ μ μš©κ°€λŠ₯μ„± 33 κ°€. 곡개맀수곡고의무 및 λŒ€λŸ‰λ³΄μœ λ³΄κ³ μ˜λ¬΄ 33 λ‚˜. μ†Œμœ μƒν™©λ³΄κ³ μ˜λ¬΄ 36 3. μ†Œκ²°λ‘  36 제 3 절 κ΄€λ ¨ μ‚¬μ•ˆ 36 1. CSX v. TCI μ‚¬μ•ˆ 37 κ°€. 사싀관계 37 λ‚˜. λ‹Ήμ‚¬μžλ“€μ˜ μ£Όμž₯ 38 λ‹€. λ²•μ›μ˜ νŒλ‹¨ 39 2. Mylan, Perry μ‚¬μ•ˆ 41 3. μš°λ¦¬λ‚˜λΌμ˜ 경우- μ‚Όμ„±λ¬Όμ‚° vs. Elliott 사건 43 4. μ†Œκ²°λ‘  45 제 4 절 법적 규율 μ—¬λΆ€ 및 κ·Έ λ°©μ•ˆ 45 1. ν•™μ„€ 46 κ°€. 수령자의 경우 46 λ‚˜. μ§€κΈ‰μžμ˜ 경우 48 2. μ™Έκ΅­μ˜ μž…λ²•λ‘€ 및 λŒ€μ‘μ‘°μΉ˜ 51 κ°€. EU 51 λ‚˜. 영ꡭ 55 λ‹€. λ―Έκ΅­ 57 라. μ†Œκ²°λ‘  60 3. κ²€ν†  61 κ°€. 법적 규율이 ν•„μš”ν•œμ§€ μ—¬λΆ€ 61 λ‚˜. 기본적인 κ·œμœ¨λ°©μ•ˆ 64 λ‹€. ꡬ체적인 κ·œμœ¨λ°©μ•ˆ 67 4. μ†Œκ²°λ‘  84 제 4 μž₯ μžκΈ°μ£Όμ‹μƒν˜Έμ£Όμ‹μˆœν™˜μΆœμžμ™€ μ΄μˆ˜μ΅μŠ€μ™‘ 85 제 1 절 κ°œκ΄€ 85 제 2 절 κ΄€λ ¨ κ·œμ •μ˜ λ‚΄μš©κ³Ό μ΄μˆ˜μ΅μŠ€μ™‘ 85 1. 상법상 μžκΈ°μ£Όμ‹, λͺ¨νšŒμ‚¬μ£Όμ‹, μƒν˜Έμ£Όμ‹μ— λŒ€ν•œ κ·œμ • 85 κ°€. μžκΈ°μ£Όμ‹, λͺ¨νšŒμ‚¬ 주식 85 λ‚˜. μƒν˜Έμ£Όμ‹ 87 2. κ³΅μ •κ±°λž˜λ²•μƒ μƒν˜ΈμΆœμž λ˜λŠ” μˆœν™˜μΆœμžμ— λŒ€ν•œ κ·œμ • 87 κ°€. μƒν˜ΈμΆœμž 87 λ‚˜. μˆœν™˜μΆœμž 88 λ‹€. μƒν˜ΈμΆœμž λ˜λŠ” μˆœν™˜μΆœμž κ·œμ •μ„ μœ„λ°˜ν•œ 경우의 쑰치 89 3. μ œλ„μ˜ 취지 89 κ°€. μžκΈ°μ£Όμ‹ 89 λ‚˜. μƒν˜Έμ£Όμ‹ 90 λ‹€. μˆœν™˜μ£Όμ‹ 91 4. 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ— λŒ€ν•˜μ—¬ λ‚˜νƒ€λ‚˜λŠ” λ‚¨μš© ν˜„μƒ 92 5. μ†Œκ²°λ‘  93 제 3 절 κ΄€λ ¨ μ‚¬μ•ˆ 93 1. μƒν˜Έμ£Όμ‹ λ˜λŠ” μƒν˜ΈμΆœμž 93 κ°€. 사싀관계 94 λ‚˜. 원고(κΈˆν˜Έν™”ν•™)의 μ£Όμž₯ 95 λ‹€. λ²•μ›μ˜ νŒλ‹¨ 95 2. μˆœν™˜μΆœμž(ν˜„λŒ€μžλ™μ°¨, κΈ°μ•„μžλ™μ°¨ μ‚¬μ•ˆ) 96 3. μ†Œκ²°λ‘  98 제 4 절 법적 규율 μ—¬λΆ€ 및 κ·Έ λ°©μ•ˆ 99 1. ν•™μ„€ 및 μ œμ•ˆλ˜λŠ” κ·œμœ¨λ°©μ•ˆμ˜ λ‚΄μš© 99 κ°€. ν•™μ„€ 99 λ‚˜. 각 κ·œμœ¨λ°©μ•ˆμ˜ λ‚΄μš© 101 2. μ™Έκ΅­μ˜ μž…λ²•λ‘€ 및 λŒ€μ‘μ‘°μΉ˜ 102 κ°€. μžκΈ°μ£Όμ‹, μƒν˜Έμ£Όμ‹ 및 μˆœν™˜μ£Όμ‹ 103 λ‚˜. 주식 μ΄μˆ˜μ΅μŠ€μ™‘μ— λŒ€ν•œ λŒ€μ‘ 106 3. κ²€ν†  106 κ°€. 법적 규율이 ν•„μš”ν•œμ§€ μ—¬λΆ€ 106 λ‚˜. 기본적인 규율 λ°©μ•ˆ 108 λ‹€. ꡬ체적인 규율 λ°©μ•ˆ 113 4. μ†Œκ²°λ‘  128 제 5 μž₯ κ²°λ‘  129 μ°Έκ³ λ¬Έν—Œ 131 Abstract 143Maste

    Effortism

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    ν•™μœ„λ…Όλ¬Έ(석사) -- μ„œμšΈλŒ€ν•™κ΅λŒ€ν•™μ› : μΈλ¬ΈλŒ€ν•™ μ² ν•™κ³Ό(μ„œμ–‘μ² ν•™μ „κ³΅), 2023. 2. κΉ€ν˜„μ„­μ†‘μ§€μš°.λ…Έλ ₯μ£Όμ˜λŠ” 개인의 λ…Έλ ₯ κ°€λŠ₯ μ—­λŸ‰ ν•˜μ—μ„œ κ·Έκ°€ μ‹€μ œλ‘œ μ‚¬νšŒμ˜ 경제 μ²΄μ œμ— νˆ¬μ—¬ν•œ λ…Έλ ₯ 정도에 따라 κ·Έμ—κ²Œ μ†Œλ“μ΄ λΆ„λ°°λ˜μ–΄μ•Ό ν•œλ‹€λŠ” 것을 λŒ€μ›μΉ™μœΌλ‘œ ν•˜λŠ” 경제적 λΆ„λ°° 이둠이닀. μ‰½κ²Œ 말해, 개인이 μ–Όλ§ˆλ‚˜ λ…Έλ ₯을 ν•˜λŠλƒμ— 따라 그의 μ†Œλ“μ΄ κ²°μ •λ˜μ–΄μ•Ό ν•œλ‹€λŠ” 것이닀. λ…Έλ ₯μ£Όμ˜λŠ” κ°œμΈμ— 따라 λ‹¬λΌμ§€λŠ” 노동 νˆ¬μž…μ„, λͺ¨λ‘κ°€ λ™μΌν•˜κ²Œ 평가될 수 μžˆλŠ” ν‘œμ€€ν™”λœ 기쀀에 μ˜ν•˜μ—¬ μƒλŒ€μ μΈ νˆ¬μž…κ°’μœΌλ‘œ λ³€ν™˜ν•œλ‹€. 그리고 이λ₯Ό 경제 μ²΄μ œμ— λŒ€ν•œ 각자 λ‚˜λ¦„μ˜ κΈ°μ—¬λ‘œ κ°„μ£Όν•œλ‹€. κ·Έ ν›„ μ΄λŸ¬ν•œ 개인의 기여에 λŒ€ν•˜μ—¬ 경제 체제의 μ‚°μΆœλ¬Όμ„ κ΅¬μž…ν•  수 μžˆλŠ” ν†΅ν™”λ‘œμ„œμ˜ μ†Œλ“μ„ λ³΄μƒν•œλ‹€. λ…Έλ ₯μ£Όμ˜λŠ” 경제적 λΆ„λ°°λ₯Ό 결정함에 μžˆμ–΄μ„œ, 운의 영ν–₯ 쀑 λ…Έλ ₯을 κ΅¬μ„±ν•˜λŠ” 것은 κ³„μ‚°μ—μ„œ λ°°μ œν•˜μ§€ μ•Šκ³ , κ·Έ μš΄μ— μ˜ν•˜μ—¬ 영ν–₯을 받은 κ·ΈλŒ€λ‘œμ˜ λ…Έλ ₯을 μΈ‘μ •ν•΄ 그에 λΉ„λ‘€ν•΄ κ°μžμ—κ²Œ 경제적 λͺ«μ„ ν• λ‹Ήν•œλ‹€. λ…Έλ ₯ λŠ₯λ ₯μ΄λΌλŠ” 것이 κΌ­ λ‹€λ₯Έ 선택을 ν•  수 μžˆμ—ˆλ‹€λŠ” μ·¨μ§€μ˜ μžμœ μ˜μ§€ κ°œλ…μ— μ˜ν•˜μ—¬ μ „μ μœΌλ‘œ 이루어지지 μ•ŠλŠ”λ‹€λŠ” 결둠이 λ„μΆœλ˜λ”λΌλ„, 이둠적으둜 μ—¬μ „νžˆ 각 κ°œμΈμ€ 차등이 μžˆλŠ” 경제적 λΆ„λ°°λ₯Ό 받을 수 있게 λœλ‹€. λ˜ν•œ λ…Έλ ₯μ£Όμ˜μ—μ„œλŠ” 각자의 λ…Έλ ₯ λŠ₯λ ₯에 λŒ€ν•œ 자기 μ†Œμœ λ₯Ό μΈμ •ν•œλ‹€. λ…Έλ ₯μ£Όμ˜μ—μ„œλŠ” 운 ν‰λ“±μ£Όμ˜μ™€ λ§ˆμ°¬κ°€μ§€λ‘œ κ°œμΈμ„ λ‘˜λŸ¬μ‹Ό μžμ—°μ  재λŠ₯, μ‚¬νšŒμ  λ°°κ²½, κ°€μ •ν™˜κ²½ 등이 μš΄μ— μ˜ν•˜μ—¬ κ²°μ •λ˜μ—ˆλ‹€λŠ” 점을 받아듀이고, 경제적 λΆ„λ°°λ₯Ό 결정함에 μžˆμ–΄μ„œλŠ” κ·ΈλŸ¬ν•œ 운적 μš”μ†Œ λŒ€λΆ€λΆ„μ— κ΄€ν•˜μ—¬ 자기 μ†Œμœ λ₯Ό μΈμ •ν•˜μ§€λŠ” μ•ŠλŠ”λ‹€. κ·ΈλŸ¬λ‚˜ λ…Έλ ₯ λŠ₯λ ₯의 λ°œν˜„κ³Ό μ‘΄μž¬λŠ” 개인의 κ²°μ •κ³Ό μ™„μ „νžˆ κ²°ν•©λ˜κ³  μ—°κ²°λ˜μ–΄ μžˆλ‹€λŠ” μ μ—μ„œ, λ…Έλ ₯ λŠ₯λ ₯λ§Œμ€ 본질적으둜 일반적인 λŠ₯λ ₯ λ“± 운적 μš”μΈκ³Ό 차이가 μžˆλ‹€κ³  보고 κ·Έ μ†Œμœ λ₯Ό μΈμ •ν•˜λŠ” 것이닀. μ΄λŸ¬ν•œ λ…Έλ ₯μ£Όμ˜λŠ” κ°œλ…μ μœΌλ‘œ 운 ν‰λ“±μ£Όμ˜μ™€ λŠ₯λ ₯μ£Όμ˜μ™€μ˜ 비ꡐ μ†μ—μ„œ λ“±μž₯ν•˜λŠ”λ°, 특히 운 ν‰λ“±μ£Όμ˜μ˜ μ΅œμ‹  λ…Όμ˜λ“€μ— λΉ„ν•˜μ—¬ μ—¬λŸ¬ 이둠적, μ‹€μ²œμ  μž₯점을 μ§€λ‹Œλ‹€.Effortism is a philosophical economic theory that asserts income should be distributed according to how much of one's effort ability is actually used. In other words, according to effortism, an individual's income should be determined by how much effort one made. Effortism, in the economic system of society, standardizes labor input that varies by individual, converts it into a relative input value, and views it as each individual's own contribution to the economic system. Furthermore, in determining economic distribution, effortist does not exclude the influence of what constitutes effort among the effects of luck. Effortist rather accepts that there is self-ownership of the talent to make an effort. As a result, effortism has several theoretical and practical advantages compared to the latest discussions of luck egalitarianism and meritocracy.제 1 μž₯ μ„œλ‘  1 제 2 μž₯ λ…Έλ ₯주의 논증 4 제 1 절 κ°œλ…κ³Ό νŠΉμ§• 4 제 2 절 적용 단계, λ²”μœ„, μ‹œκΈ° 7 제 3 절 λŒ€μ›μΉ™ 논증 9 제 4 절 λ…Έλ ₯ν•œ 만큼의 λŒ€κ°€λ₯Ό λ°›μ•„μ•Ό ν•˜λŠ” 이유 13 제 3 μž₯ 이둠적 μœ„μΉ˜ 짓기 17 제 1 절 운 ν‰λ“±μ£Όμ˜μ˜ λ…Έλ ₯-고삐 μ±„μš°κΈ° 문제 17 제 2 절 μ‘΄ 둜머의 κΈ°μšΈμ–΄μ§„ μš΄λ™μž₯의 평탄화 이둠 21 제 4 μž₯ 남은 λ¬Έμ œλ“€ 26 제 5 μž₯ κ²°λ‘  36 μ°Έκ³ λ¬Έν—Œ 38 Abstract 40석

    μ†Œμ•‘μ§€λΆˆμ‹œμŠ€ν…œ MilliCentμ—μ„œμ˜ λΉˆλ²ˆν•˜μ§€ μ•Šμ€ κ±°λž˜μ— λŒ€ν•œ νš¨μœ¨μ„± κ°œμ„ 

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :컴퓨터곡학과,2000.Maste
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