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    "전면지측곡간"의 μš”μ†Œμ™€ 연결에 κ΄€ν•œ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 건좕학과, 2015. 2. κΉ€κ΄‘ν˜„.μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ μš”μ†Œμ™€ 연결에 κ΄€ν•œ 연ꡬ 건좕물은 λ„μ‹œλ‘œλΆ€ν„° 경계λ₯Ό λ§Œλ“œλŠ” 과정을 톡해 ν˜•μ„±λ˜κ³  κ·Έ 경계λ₯Ό μ–΄λ–»κ²Œ μ‘°μ ˆν•˜λŠλƒμ— 따라 λ„μ‹œμ™€ 연속성을 κ°–κ²Œ λœλ‹€. λ”°λΌμ„œ 건물의 μ €μΈ΅λΆ€λŠ” 건좕과 λ„μ‹œμ˜ κ²½κ³„μ΄μž λ™μ‹œμ— 이λ₯Ό λ§€κ°œν•˜λŠ” μ ‘μ μœΌλ‘œμ„œ λ„μ‹œλ‘œλΆ€ν„° 졜초의 물리적 경계λ₯Ό ν˜•μ„±ν•œλ‹€λŠ” μ μ—μ„œ 의미λ₯Ό κ°–λŠ”λ‹€. κ·ΈλŸ¬λ‚˜ λ„μ‹œμ™€ κ±΄μΆ•μ˜ λ§€κ°œκ³΅κ°„μœΌλ‘œμ„œ 저측뢀에 λŒ€ν•œ 기쑴의 μ—°κ΅¬λŠ” κ°€λ‘œμ™€ μ €μΈ΅λΆ€μ˜ 톡합적인 접근이 μ•„λ‹ˆλΌ 외벽을 κΈ°μ€€μœΌλ‘œ ν•œ μ™ΈλΆ€ κ³΅κ°„μΈ‘λ©΄μ—μ„œμ˜ λ…Όμ˜κ°€ μ£Όλ₯Ό 이룬닀. 이에 λ³Έ μ—°κ΅¬μ—μ„œλŠ” λ„μ‹œμ™€ κ±΄μΆ•μ˜ λ§€κ°œκ³΅κ°„μœΌλ‘œμ„œ κ°€λ‘œμ—μ„œ 건물의 저측뢀에 이λ₯΄λŠ” μ˜μ—­μ„ 에 λŒ€ν•œ 기쑴의 λ…Όμ˜κ°€ 또 λ‹€λ₯Έ 경계λ₯Ό λ§Œλ“€λ©° 평면적인 접근에 κ·ΈμΉœλ‹€λŠ” ν•œκ³„μ μ„ νŒŒμ•…ν•˜κ³  경계λ₯Ό μ™Έλ²½μ—μ„œ λ‚΄λΆ€κ³΅κ°„μ—κΉŒμ§€ ν™•μž₯ν•˜μ—¬ μ „λ©΄μ§€μΈ΅κ³΅κ°„μ΄λΌλŠ” μƒˆλ‘œμš΄ μš©μ–΄λ₯Ό μ •μ˜ν•˜μ˜€λ‹€. 이 μ •μ˜λ₯Ό ν† λŒ€λ‘œ ν•˜μ—¬ 전면지측곡간에 μž‘μš©ν•˜λŠ” μš”μ†Œλ“€μ„ 물리적, λΉ„-물리적 μš”μ†Œλ‘œ λ‚˜λˆ„μ–΄ λΆ„μ„ν•˜κ³ , λ‚΄Β·μ™ΈλΆ€μ˜ 연결방식에 λŒ€ν•΄ ꡬ체적으둜 μ΄ν•΄ν•˜κΈ° μœ„ν•˜μ—¬ 2000λ…„λŒ€ μ΄ν›„μ˜ ν˜„λŒ€ 건좕 사둀λ₯Ό μ€‘μ‹¬μœΌλ‘œ μ‚΄νŽ΄λ³΄μ•˜λ‹€. ꡬ성 μš”μ†ŒλŠ” 기쑴의 μ—°κ΅¬μ—μ„œ 닀루어진 λ²”μœ„λ₯Ό ν¬ν•¨ν•˜μ—¬ 연속적인 κ³΅κ°„μ˜ κ΄€μ μ—μ„œ λ„μ‹œμ˜ 속성을 μˆ˜μš©ν•˜λŠ” κ³΅κ°„μš”μ†Œμ˜ ꡬ성 방식을 μ‚΄νŽ΄λ³Έλ‹€. λ˜ν•œ λ„μ‹œμ˜ λ‹€μ–‘ν•œ 상황을 μˆ˜μš©ν•˜κΈ° μœ„ν•œ ν”„λ‘œκ·Έλž¨κ³Ό 그에 λ”°λ₯Έ ν–‰μœ„ μ—­μ‹œ 전면지측곡간을 κ΅¬μ„±ν•˜λŠ” λΉ„ 물리적인 μš”μ†Œμ΄λ‹€. 물리적 경계가 약화됨에 따라 λ‚˜νƒ€λ‚˜λŠ” μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ λ‹€μ–‘ν•œ 연결방식은 μ΄λŸ¬ν•œ μš”μ†Œμ— μ˜ν•΄ 투λͺ…ν•œ 경계, 닀측적 경계, ν”„λ‘œκ·Έλž¨μ— μ˜ν•œ μ—°κ²°λ‘œ λΆ„λ₯˜ν•  수 μžˆμ—ˆλ‹€. 전면지측곡간은 λ„μ‹œμ™€ κ±΄μΆ•μ˜ 연속성을 κ΅¬ν˜„ν•˜λŠ” λ‹€μ–‘ν•œ ꡬ성방식에 μ˜ν•΄ ν˜•μ„±λ˜λŠ”λ° 두 속성이 κ²Ήμ³μ§€λŠ” μ€‘κ°„μ˜μ—­μ΄ λ‚΄λΆ€λ‘œ ν™•μž₯됨에 따라 κ·Έ 경계λ₯Ό ν™•μž₯μ‹œν‚€λŠ” λ‹€μ–‘ν•œ λ§€κ°œλ¬Όμ— μ˜ν•΄ κ°€λ³€μ μœΌλ‘œ μ„€μ •λœλ‹€. 무엇보닀 κ³΅κ°„μ˜ μž‘λ™ μ›λ¦¬λ‘œμ„œ ν”„λ‘œκ·Έλž¨μ— λ”°λ₯Έ λ‚΄λΆ€κ³΅κ°„μ˜ ν™œμš©μ— 따라 μž¬μ‘°μ§λ˜λŠ” 평면에 μ˜ν•΄ μ€‘κ°„μ˜μ—­μ˜ ν™•μž₯λ²”μœ„λŠ” μž¬μΈμ‹λœλ‹€. λ‚΄Β·μ™ΈλΆ€ κ³΅κ°„μ˜ 연속적인 κ²½ν—˜μ„ μœ„ν•΄μ„œλŠ” λ„μ‹œμ˜ 속성을 μ—Όλ‘ν•œ κ±΄μΆ•κ³΅κ°„μ˜ κ³„νšμ— μ˜ν•΄ ν†΅ν•©μ μœΌλ‘œ ꡬ성될 λ•Œ 전면지측곡간은 κ°€λ‘œμ™€ κ΅¬λΆ„λ˜λŠ” 내뢀성을 κ°–λŠ” κ³΅κ°„μ΄μž, μœ μ—°ν•œ κ³΅κ°„μœΌλ‘œμ„œ λ„μ‹œκ³΅κ°„μ— 성격을 λΆ€μ—¬ν•˜λŠ” κ³΅κ³΅μ˜μ—­μœΌλ‘œμ˜ κ°€λŠ₯성을 κ°–λŠ”λ‹€. 이에 전면지측곡간에 λŒ€ν•œ 접근이 단일 건물을 λ„˜μ–΄μ„œ λ„μ‹œλ‘œ ν™•μž₯될 λ•Œ λ„μ‹œμ™€ κ±΄μΆ•μ˜ 경계가 ν—ˆλ¬Όμ–΄μ§€κ³  μ‚¬λžŒλ“€μ˜ λ‹€μ–‘ν•œ 점유λ₯Ό 톡해 ν™œμ„±ν™”λ¨μœΌλ‘œμ¨ μ§„μ •ν•œ λ„μ‹œκ³΅κ°„μ—μ„œμ˜ μƒν™œμ„ 이룰 수 μžˆμ„ 것이닀.1. μ„œλ‘  1.1 μ—°κ΅¬μ˜ λ°°κ²½ 및 λͺ©μ  1.2 μ—°κ΅¬μ˜ λŒ€μƒ 및 방법 1.3 연ꡬ흐름도 2. 전면지측곡간과 λ„μ‹œ-건좕 2.1 μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ μ •μ˜ 2.1.1 κΈ°μ‘΄ λ…Όμ˜ ν™•μž₯의 ν•„μš”μ„± (1) λ„μ‹œμ™€ κ±΄μΆ•μ˜ 인식변화 (2) λ„μ‹œ-κ±΄μΆ•μ˜ 물리적 경계뢀에 λŒ€ν•œ λ…Όμ˜ 2.1.2 λ„μ‹œμ™€ κ±΄μΆ•μ˜ λ§€κ°œκ³΅κ°„ 2.1.3 μ€‘κ°„μ˜μ—­μ˜ ν™•μž₯ 2.1.4 정리 2.2 λ„μ‹œ-건좕 μ—°κ²°λ°©μ‹μ˜ λ‹€μ–‘ν™” 2.3 λ„μ‹œκ³΅κ°„μ—μ„œ μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ 양상 3. μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ κ΅¬μ„±μš”μ†Œ 3.1 물리적 μš”μΈ 3.2 λΉ„-물리적 μš”μΈ 4. μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ 연결방식 4.1 투λͺ…ν•œ 경계λ₯Ό ν†΅ν•œ μ—°κ²° 4.1.1 μ™ΈλΆ€λ₯Ό μ—°μƒμ‹œν‚€λŠ” 내뢀곡간 ꡬ성 4.1.2 근접성에 μ˜ν•œ λ‚΄λΆ€ ν™œλ™μ˜ 투과 4.1.3 κ°€λ‘œμ™€μ˜ 병렬적 μ—°κ²° 4.2 닀쀑적 경계λ₯Ό ν†΅ν•œ μ—°κ²° 4.2.1 연속적인 감각을 ν˜•μ„±ν•˜λŠ” λ™μΌν•œ 재료 μ‚¬μš© 4.2.2 ꡐ차 κ³΅κ°„μ˜ μ‚½μž… 4.2.3 μ§€ν˜•ν™” 4.3 ν”„λ‘œκ·Έλž¨μ„ ν†΅ν•œ μ—°κ²° 4.3.1 외적인 속성을 μˆ˜μš©ν•˜λŠ” 내뢀곡간 ꡬ성 4.3.2 λ‚΄λΆ€μ˜ 속성을 λ³΄μ‘°ν•˜λŠ” 외뢀곡간 ꡬ성 4.4 μ†Œκ²° 5. μ „λ©΄μ§€μΈ΅κ³΅κ°„μ˜ 의미 5.1 λ‚΄λΆ€κ³΅κ°„μ˜ ν™œμš©μ— μ˜ν•΄ μž¬μΈμ‹λ˜λŠ” 경계 5.2 λ‚΄λΆ€μ˜ ν˜•μ„±μ›λ¦¬μ— λ”°λ₯Έ 톡합적 ꡬ성 곡간 5.3 일상적인 κ³΅κ³΅κ³΅κ°„μœΌλ‘œμ˜ ν™•μž₯ κ°€λŠ₯μ„± 6. κ²°λ‘ Maste

    μ‹œκ°„ 정보와 인기도 μƒ˜ν”Œλ§μ„ μ΄μš©ν•œ μ„Έμ…˜ 기반 μΆ”μ²œ λͺ¨λΈ

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ³΅κ³ΌλŒ€ν•™ 전기·정보곡학뢀, 2019. 2. μ‹¬κ·œμ„.μ„Έμ…˜ 기반 μΆ”μ²œλͺ¨λΈμ€ μž‘μ€ 규λͺ¨μ˜ 인터넷 μ‡Όν•‘ μ‚¬μ΄νŠΈμ—μ„œ μ˜·μ„ μΆ”μ²œν•˜κ±°λ‚˜ λ‰΄μŠ€ μ‚¬μ΄νŠΈμ—μ„œ 관심 λ‰΄μŠ€λ₯Ό, λ™μ˜μƒ 제곡 μ‚¬μ΄νŠΈμ—μ„œ μ˜μƒμ„ μΆ”μ²œν•˜λŠ” κ²½μš°μ— 주둜 μ‚¬μš©λœλ‹€. 즉, μ„Έμ…˜ 기반 μΆ”μ²œ λͺ¨λΈμ€ 처음 μ ‘μ†ν•΄λ³΄λŠ” μ‚¬μ΄νŠΈ ν˜Ήμ€ λ‘œκ·ΈμΈμ„ ν•˜μ§€ μ•Šμ•„ κ³Όκ±° 접속 정보가 μ—†λŠ” κ²½μš°μ— μΆ”μ²œμ„ ν•˜λŠ” λͺ¨λΈμ΄λ‹€. 읡λͺ…μ˜ μ‚¬μš©μžμ™€ μƒν’ˆ κ°„μ˜ μƒν˜Έμž‘μš©μ— λŒ€ν•œ ν˜„μž¬μ˜ 짧은 μ„Έμ…˜ μ •λ³΄λ§Œμ„ λ°”νƒ•μœΌλ‘œ μΆ”μ²œμ„ ν•˜κΈ° λ•Œλ¬Έμ— μƒν’ˆ κ°„μ˜ μœ μ‚¬λ„λ₯Ό λ°”νƒ•μœΌλ‘œ μΆ”μ²œν•˜λŠ” λͺ¨λΈμ΄ κ³Όκ±°μ—λŠ” 많이 μ‚¬μš©λ˜μ—ˆλ‹€. ν•˜μ§€λ§Œ 이와 같은 μƒν’ˆ 기반 μœ μ‚¬λ„ μΆ”μ²œ λͺ¨λΈμ€ λ§ˆμ§€λ§‰μ— μ„ νƒν•œ μƒν’ˆλ§Œμ„ λ°”νƒ•μœΌλ‘œ μΆ”μ²œμ„ ν•œλ‹€λŠ” 단점이 μžˆμ—ˆλ‹€. μ΄λŸ¬ν•œ 문제λ₯Ό ν•΄κ²°ν•˜κΈ° μœ„ν•΄ μ΅œκ·Όμ— μˆœν™˜ 신경망 기반의 λͺ¨λΈμ΄ μ œμ•ˆλ˜μ—ˆκ³  쒋은 μ„±λŠ₯을 보여주고 μžˆλ‹€. κ·Έλ ‡μ§€λ§Œ μˆœν™˜ 신경망을 기반으둜 ν•œ κΈ°μ‘΄ 연ꡬ도 μƒν’ˆμ„ μ„ νƒν•œ μˆœμ„œλ§Œμ„ μ΄μš©ν•΄ μΆ”μ²œμ„ ν•˜κΈ° λ•Œλ¬Έμ— μ‹œκ°„ 정보λ₯Ό ν™œμš©ν•˜μ§€ λͺ»ν•˜λŠ” 단점이 μžˆλ‹€. λ³Έ λ…Όλ¬Έμ—μ„œλŠ” μˆœν™˜ 신경망 기반 λͺ¨λΈμ— μ›”, μš”μΌ, μ‹œκ°„, λΆ„, 초의 μ‹œκ°„ 정보λ₯Ό μΆ”κ°€λ‘œ λ°˜μ˜ν•˜μ—¬, κ³„μ ˆ, μš”μΌ λ“±μ˜ 변화에 λ”°λ₯Έ μ‚¬μš©μžμ˜ μ„ ν˜Έλ„ λ³€ν™”λ₯Ό λ°˜μ˜ν•œ λͺ¨λΈμ„ μ œμ•ˆν•œλ‹€. 그리고 둜그 기반의 인기도 μƒ˜ν”Œλ§ 방법과 λͺ¨λΈμ„ ν•™μŠ΅μ‹œν‚€λŠ” 손싀 ν•¨μˆ˜μ— κ°€μ€‘μΉ˜ λ‘œμ§μ„ λ°˜μ˜ν•˜μ—¬ λͺ¨λΈμ˜ μ„±λŠ₯을 높일 수 μžˆλŠ” 방법을 μ œμ•ˆν•œλ‹€. λ˜ν•œ μ œμ•ˆν•˜λŠ” λͺ¨λΈμ˜ μ„±λŠ₯을 κ²€μ¦ν•˜κΈ° μœ„ν•΄ μ‹€μƒν™œ 데이터λ₯Ό μ΄μš©ν•˜μ—¬ μ‹€ν—˜μ„ μ§„ν–‰ν•˜μ˜€λ‹€.Session-based recommendation models are used to recommend items on various platforms, such as clothes on a small Internet shopping site, news on a news site, and videos on a video streaming site. Session-based recommendation models are useful when there is no past access information of an user. Such cases occur when an user first visits a site or does not log in. Traditional approaches utilize similarity-based models for recommendation since there is only the current short session information about the interaction between anonymous users and the products. However, such a similarity-based recommendation model has a drawback in that the recommendation is based on only the last selected product. To alleviate the problem, recurrent neural network based models have recently been proposed and show good performances. Still, the existing works based on recurrent neural networks cannot utilize time feature information because they consider only the order of item selections. Β Β Β In this paper, we propose a model that reflects users preference changes over time, such as the seasonal changes or day of the week, by additionally reflecting the time information in the granularities of month, day, hour, minute and second to the neural network based model. In addition, we propose methods to increase the performance of the model by introducing a new loss function and a log based popularity sampling method. Furthermore, we show the effectiveness of our proposed model by conducting experiments with real-life data.제 1 μž₯ μ„œλ‘  1 제 1 절 μ—°κ΅¬μ˜ λ°°κ²½ 및 λ‚΄μš© 1 제 2 μž₯ κ΄€λ ¨ 연ꡬ 3 제 1 절 μ„Έμ…˜ 기반 μΆ”μ²œ μ‹œμŠ€ν…œκ³Ό μˆœν™˜μ‹ κ²½λ§ 3 제 2 절 배치 μ‚¬μ΄μ¦ˆμ™€ 인기도 기반 μƒ˜ν”Œλ§ 8 제 3 절 λ² μ΄μ§€μ•ˆ κ°œμΈν™” μˆœμœ„ 10 제 3 μž₯ μ œμ•ˆν•˜λŠ” μ„Έμ…˜ 기반 μΆ”μ²œ λͺ¨λΈ 13 제 1 절 μ‹œκ°„ 정보λ₯Ό λ°˜μ˜ν•œ μΆ”μ²œ λͺ¨λΈ ꡬ쑰 13 제 2 절 μ΅œμ ν™” 18 제 4 μž₯ μ‹€ν—˜ 21 제 1 절 μ‹€ν—˜ ν™˜κ²½ 및 μ‹€ν—˜ 데이터 21 제 2 절 μ„±λŠ₯ μΈ‘μ • μ§€ν‘œ 및 μ‹€ν—˜ μ„€μ • 23 제 3 절 μ‹€ν—˜ κ²°κ³Ό 및 뢄석 24 제 5 μž₯ κ²°λ‘  28 μ°Έκ³ λ¬Έν—Œ 29 Abstract 31Maste

    νŠΉμ§‘: 13th 홋가이도 λŒ€ν•™κ³Ό μ„œμšΈλŒ€ν•™μ˜ ν•™μˆ  ꡐλ₯˜λ₯Ό μœ„ν•œ 쑰인트 심포지움

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    홋가이도 λŒ€ν•™μ€? 홋가이도 λŒ€ν•™(Hokkaido University)은 일본 졜초의 κ·ΌλŒ€μ  λŒ€ν•™μœΌλ‘œ 1876년에 μ‚Ών¬λ‘œλ†μ—…ν•™κ΅(1876-1907λ…„)μ—μ„œ μΆœλ°œν•˜μ—¬ 홋가이도 μ œκ΅­λŒ€ν•™(1918-1947)을 거쳐, ꡭ립학ꡐ μ„€μΉ˜λ²•μ— 따라 홋가이도 λŒ€ν•™μœΌλ‘œ μ „ν™˜λœ 이후(1947-2004), 2004λ…„λΆ€ν„° ν˜„μž¬κΉŒμ§€ κ΅­λ¦½λŒ€ν•™λ²•μΈμœΌλ‘œ λ°œμ „ν•œ 였랜 역사λ₯Ό 가진 λŒ€ν•™μ΄λ‹€. 홋가이도 λŒ€ν•™μ€ ν”„λŸ°ν‹°μ–΄ μ •μ‹ κ³Ό κ΅­μ œμ„± 함양, μ „μΈκ΅μœ‘ 및 μ‹€ν•™ μ€‘μ‹œλΌλŠ” ꡐ윑 μ—°κ΅¬μ˜ κΈ°λ³Έ 이념을 ν† λŒ€λ‘œ λ§Žμ€ 싀적을 μŒ“μ•„μ˜¨ λŒ€ν•™μ›μ— 쀑점을 λ‘” κΈ°κ°„μ’…ν•©λŒ€ν•™μ΄λ‹€. μ΄λŸ¬ν•œ λ…Έλ ₯의 결과둜 2010λ…„ Suzuki Akira λͺ…μ˜ˆκ΅μˆ˜κ°€ ν™”ν•™ λΆ„μ•Όμ—μ„œ 노벨상을 μˆ˜μƒν•˜λŠ” 결싀을 μ΄λ£¨μ—ˆλ‹€. 홋가이도 λŒ€ν•™μ΄ ꡐ윑 λͺ©ν‘œλ‘œ μΆ”κ΅¬ν•˜λŠ” μ‹€ν•™ μ€‘μ‹œ 이념과 ν•¨κ»˜ ν˜„μ‹€μ„Έκ³„μ™€ μΌμ²΄ν™”λœ 보편적 μ§„λ¦¬λŠ” 홋가이도 νŠΉμ„±μ„ μ‚΄λ¦° ν•™λ¬Έμ˜ μ°½μ‘°λ₯Ό μΆ”κ΅¬ν•˜λŠ” κΈ° λ³Έ ν† λŒ€κ°€ 되며 특히 λŒ€ν•™μ›μ—μ„œλŠ” κ³ λ„μ˜ 전문가와 직업인 μ–‘μ„±, μ‚¬νšŒμΈ ꡐ윑의 ν™•λŒ€λ₯Ό ꡐ윑 λͺ©ν‘œλ‘œ μ‚Όκ³  μžˆλ‹€. 이와 ν•¨κ»˜ 연ꡬ μ„±κ³Όλ₯Ό 이루기 μœ„ν•˜μ—¬ μ‚°ν•™κ°„μ˜ 연계 ν˜‘λ ₯을 ν™•λŒ€ν•˜μ—¬ 연ꡬ κ²°κ³Όλ₯Ό 홋가이도에 ν™˜μ›ν•  뿐 μ•„λ‹ˆλΌ λ‚˜μ•„κ°€ 일본과 μ„Έκ³„λ‘œ ν™˜μ›ν•˜λŠ” 것을 μΆ”κ΅¬ν•˜κ³  μžˆλ‹€

    Development of performance measurement indicators in S hospital

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    병원행정학과/석사[ν•œκΈ€] λ³Έ μ—°κ΅¬μ˜ λͺ©μ μ€ 1993λ…„ Yμ˜λ£Œμ›μ— λ„μž…λ˜μ–΄ μ‹œν–‰λ˜κ³  μžˆλŠ” μ±…μž„κ²½μ˜μ œμ˜ 확립을 μœ„ν•œλ‹¨μœ„κΈ°κ΄€λ³„ μ„±κ³Όν‰κ°€μ§€ν‘œλ₯Ό κ°œλ°œν•˜κΈ°μ— μ•žμ„œ Yμ˜λ£Œμ›μ˜ 쀑심적인 기관인 Sλ³‘μ›μ˜ μ„±κ³Όν‰κ°€μ§€ν‘œλ₯Ό κ°œλ°œν•˜λŠ”λ° μžˆμ—ˆμœΌλ©°, μš°μ„  Yμ˜λ£Œμ›μ˜ λͺ©ν‘œλ₯Ό ν† λŒ€λ‘œ Sλ³‘μ›μ˜ μ „λž΅μ  λͺ©ν‘œλ₯Ό μž¬μ •λ¦½ν•œ ν›„ Sλ³‘μ›μ˜ μ „λž΅μ  λͺ©ν‘œλ₯Ό λ‹¬μ„±ν•˜κΈ° μœ„ν•œ λ…Έλ ₯을 ν‰κ°€ν•˜λŠ”λ° ν•„μš”ν•œ μ§€ν‘œλ“€μ„ BSC(Balanced Scorecard)의 4가지 κ΄€μ μ—μ„œ λ„μΆœν•˜μ—¬ μ „λ¬Έκ°€ μ§‘λ‹¨μ˜ λ‚΄μš© 타당성 검정을 거쳐 Sλ³‘μ›μ˜ μ„±κ³Όν‰κ°€μ§€ν‘œλ₯Ό κ°œλ°œν•˜μ˜€λ‹€. μ£Όμš” κ²°κ³ΌλŠ” λ‹€μŒκ³Ό κ°™λ‹€. 첫째, Sλ³‘μ›μ˜ μ „λž΅μ  λͺ©ν‘œλŠ” μž¬λ¬΄κ΄€μ μ—μ„œ μˆ˜μ΅μ„±μž₯, μˆ˜μ΅μ„±μ œκ³ , κ³ κ°κ΄€μ μ—μ„œ κ³ λ‚œμ΄λ„ ν™˜μžμ§„λ£Œ, μ„¬κΉ€μ˜ μ„œλΉ„μŠ€, μ–‘μ§ˆμ˜ μ§„λ£Œ, λ‚΄λΆ€κ΄€μ μ—μ„œ 효율적인 μ§„λ£Œμ²΄κ³„, 효율적인 인λ ₯관리, 이미지 및 λͺ…μ„±μ œκ³  그리고 ν•™μŠ΅κ΄€μ μ—μ„œ κ΅μœ‘ν›ˆλ ¨ 및 κ²½λ ₯개발, μ§„λ£Œμ—­λŸ‰κ°•ν™”, 자기개발둜 μ •λ¦½ν•˜μ˜€λ‹€. λ‘˜μ§Έ, Sλ³‘μ›μ˜ μ „λž΅μ  λͺ©ν‘œμ— λ”°λ₯Έ μ„±κ³Όλ₯Ό ν‰κ°€ν•˜κΈ° μœ„ν•˜μ—¬ 개발된 μ§€ν‘œλŠ” μž¬λ¬΄κ΄€μ μ—μ„œ μˆ˜μ΅μ¦κ°€μœ¨, 의료수읡의료이읡율, κ΄€λ¦¬λΉ„μš©λΉ„μœ¨κ°μ†Œμœ¨, κ³ κ°κ΄€μ μ—μ„œ μ‘°μ •ν™˜μž1인당 ν‰κ· μ§„λ£ŒλΉ„, μ™Έλž˜ν™˜μžλ§Œμ‘±λ„, μž…μ›ν™˜μžλ§Œμ‘±λ„, μ‘κΈ‰μ‹€ν™˜μžλ§Œμ‘±λ„, μ§„λ£Œκ²°κ³ΌνšŒμ‹ μœ¨, λ‚΄λΆ€κ΄€μ μ—μ„œ μž¬μ›μΌμˆ˜λ‹¨μΆ•μœ¨, μ˜λ£ŒλΆ„μŸνŒ¨μ†ŒλΉ„μš©λΉ„μœ¨, λΉ„μ •κ·œμ§μ›μΈλ ₯λΉ„μœ¨, ꡐ원1인당 μ–Έλ‘ λ³΄λ„κ±΄μˆ˜ 그리고 ν•™μŠ΅κ΄€μ μ—μ„œ 수련직 1μΈλ‹Ήκ΅μœ‘λΉ„, 직원1μΈλ‹Ήκ΅μœ‘λΉ„, ꡐ원1인당 μ‘°μ •ν™˜μžμˆ˜, 직원1인당 μ œμ•ˆμ΄ν–‰κ±΄μˆ˜ λ“± 총 16κ°œμ΄λ‹€. μ…‹μ§Έ, μ§€ν‘œλ³„ 평가방법에 λŒ€ν•˜μ—¬ μ‘λ‹΅μžλ“€μ€ 의료수읡의료이읡λ₯ , κ΄€λ¦¬λΉ„μš©λΉ„μœ¨κ°μ†Œμœ¨,μ™Έλž˜ν™˜μžλ§Œμ‘±λ„, μž…μ›ν™˜μžλ§Œμ‘±λ„, μ§„λ£Œκ²°κ³ΌνšŒμ‹ μœ¨, μž¬μ›μΌμˆ˜λ‹¨μΆ•μœ¨ 및 λΉ„μ •κ·œμ§μ›μΈλ ₯λΉ„μœ¨μ€ λͺ©ν‘œλŒ€μ‹€μ μœΌλ‘œ 평가해야 ν•˜λ©°, μ‘°μ •ν™˜μž1인당 ν‰κ· μ§„λ£ŒλΉ„, μ˜λ£ŒλΆ„μŸνŒ¨μ†ŒλΉ„μš©λΉ„μœ¨,수련직1μΈλ‹Ήκ΅μœ‘λΉ„, 직원1μΈλ‹Ήκ΅μœ‘λΉ„, ꡐ원1인당 μ‘°μ •ν™˜μžμˆ˜ 및 직원1μΈλ‹Ήμ œμ•ˆμ΄ν–‰κ±΄μˆ˜λŠ”5κ°œλ…„ μΆ”μ„ΈμΉ˜ λŒ€λΉ„ μ‹€μ μœΌλ‘œ 평가해야 ν•œλ‹€λŠ” 응닡이 κ°€μž₯ λ§Žμ•˜μœΌλ©°, μˆ˜μ΅μ¦κ°€μœ¨μ€ λͺ©ν‘œ λŒ€μ‹€μ κ³Ό 5κ°œλ…„ μΆ”μ„ΈμΉ˜λŒ€λΉ„ μ‹€μ μœΌλ‘œ 평가해야 ν•œλ‹€λŠ” 응닡이 κ³΅λ™μœΌλ‘œ λ§Žμ•˜λ‹€. μ–΄λ–€ 쑰직이든지 μ„±μž₯Β·λ°œμ „ν•˜κΈ° μœ„ν•˜μ—¬λŠ” λšœλ ·ν•œ λͺ©ν‘œκ°€ μžˆμ–΄μ•Ό ν•˜λ©°, 성곡적인 λͺ©ν‘œλ‹¬μ„±μ„ μœ„ν•΄μ„œλŠ” 성과에 λŒ€ν•œ 츑정이 ν•„μˆ˜μ μ΄λ‹€. 이 μ—°κ΅¬μ—μ„œ 개발된 μ„±κ³ΌμΈ‘μ •μ§€ν‘œλ“€μ΄ Sλ³‘μ›μ˜ λͺ©ν‘œλ₯Ό λ‹¬μ„±ν•˜λŠ”λ° μžˆμ–΄ ν•˜λ‚˜μ˜ λ„κ΅¬λ‘œ 쓰여지기λ₯Ό λ°”λž€λ‹€. 이 μ—°κ΅¬μ˜ μ£Όμš” μ œν•œμ μœΌλ‘œλŠ” Yμ˜λ£Œμ›μ˜ μ „λž΅μ  λͺ©ν‘œλ₯Ό ν† λŒ€λ‘œ Sλ³‘μ›μ˜ μ „λž΅μ  λͺ©ν‘œλ₯Ό μž¬μ •λ¦½ν•˜λŠ” κ³Όμ •μ—μ„œ 성과평가λ₯Ό μœ„ν•œ ν•­λͺ©μ€‘μ‹¬μœΌλ‘œ μ‘°μ •ν•˜μ˜€κΈ° λ•Œλ¬Έμ— S병원 자체의 μ „λž΅μ  λͺ©ν‘œμ™€ μ •ν™•ν•˜κ²Œ μΌμΉ˜ν•˜μ§€ μ•Šμ„ μˆ˜λ„ 있으며, μ§€ν‘œμ˜ 타당도 검정을 μœ„ν•˜μ—¬ μ „λ¬Έκ°€ μ§‘λ‹¨μ˜ μ˜κ²¬μ„ μˆ˜λ ΄ν•˜μ˜€μœΌλ‚˜ μ‘λ‹΅μžλ“€μ΄ λŒ€λΆ€λΆ„ 기획, μ˜ˆμ‚°λΆ„μ•Ό μ‹€λ¬΄μžλ“€λ‘œ κ΅¬μ„±λ˜μ–΄ μžˆμ–΄ μ˜μ‚¬ 및 κ°„ν˜Έμ‚¬λ“± 타 μ§μ’…μ˜ 의견이 λ°˜μ˜λ˜μ§€ λͺ»ν•œ 점이 있고, μ„±κ³Όν‰κ°€μ§€ν‘œλ³„ 평가방법과 관점별 κ°€μ€‘μΉ˜λ₯Ό κ΅¬ν–ˆμœΌλ‚˜ μ§€λ‚œ ν•΄μ˜ λͺ©ν‘œμΉ˜μ™€ μΆ”μ„ΈμΉ˜κ°€ μ—†μ—ˆκΈ° λ•Œλ¬Έμ— 싀적이 μ–΄λŠ μ •λ„μ˜ μ„±κ³Όλ₯Ό λ‚Έ 것인지 μ§€ν‘œλ₯Ό μ μš©ν•΄ λ³Ό 수 μ—†μ—ˆλ˜ 것이닀. μ•žμœΌλ‘œλŠ” μ΄μƒμ˜ κ²°κ³Όλ₯Ό ν† λŒ€λ‘œ μ§€ν‘œλ³„ κ°€μ€‘μΉ˜λ₯Ό μ„ΈλΆ„ν™”ν•˜κ³  μ§€ν‘œμ— 따라 λͺ©ν‘œμΉ˜μ™€ 5κ°œλ…„ μΆ”μ„ΈμΉ˜λ₯Ό μ •ν•˜μ—¬ S병원에 λŒ€ν•œ 성과평가λ₯Ό μ‹œλ²”μ μœΌλ‘œ μ‹€μ‹œν•΄ λ³Έ ν›„ Yμ˜λ£Œμ›λ‚΄ 타 κΈ°κ΄€μœΌλ‘œ ν™•μ‚°Β·μ μš©ν•¨μœΌλ‘œμ¨ Yμ˜λ£Œμ›μ˜ μ„±κ³Όν‰κ°€μ‹œμŠ€ν…œμ΄ 개발될 수 있기λ₯Ό κΈ°λŒ€ν•œλ‹€. μ•„μšΈλŸ¬ BSC와 같이 λ‹€μ–‘ν•œ κ΄€μ μ—μ„œ λ³‘μ›μ˜ μ„±κ³Όλ₯Ό 평가할 수 μžˆλŠ” μ§€ν‘œμ™€ 평가방법,κ°€μ€‘μΉ˜μ™€ λ‚˜μ•„κ°€ 평가결과에 λŒ€ν•œ μΈμ„Όν‹°λΈŒ 지급방법에 λŒ€ν•œ 연ꡬ가 계속 μ§„ν–‰λ˜κΈ°λ₯Ό κΈ°λŒ€ν•œλ‹€. [영문] This study was undertaken to develop performance measurement indicators in S Hospital, which is the largest component of Y Medical Center which implemented the Responsible Management System in 1993. To begin, strategic initiatives for S Hospital were reestablished based on Y Medical Center's goals and objectives. The BSC(Balanced Scorecard) was used to develop performance measurement indicators after validity checks by specialists. The results were as follows: First, the strategic initiatives included growth of patient revenues, profit improvement from a financial perspective; the treatment of high acuity patients, providing respect and caring, quality care to the patient from the customer's perspective; an efficient patient care system and human resources management, upholding the hospital's reputation from the internal perspective; and education, training, building work experience, strengthening physician's ability and self development from the learning perspective. Second, a total of 16 indicators were developed to measure performance for strategic initiatives. Those included the growth rate of patient revenues, operating profit to gross revenues, reduction rate in administrative expenses from a financial perspective; average medical expenses per adjusted patient, patient satisfaction survey for inpatients and outpatients and emergency room patients, return rate for treatment results from the customer's perspective; reduction rate in average length of hospital stay, expenses for lost cases of medical disputes, rate for contracted employees, the number of published reports per faculty member from an internal perspective; educational expenses for training medical staff and full time employees, adjusted patient per medical staff, and the number of cases implemented which were proposed by employees. Third, operating profit to gross revenues, a reduction rate in the administrative expenses, satisfaction survey for outpatients and inpatients, return rate for treatment results, reduction rate in average length of hospital stay, rate for contracted employees should be evaluated by objectives and average medical expenses per adjusted patient, expenses for lost cases of medical disputes, educational expenses per training medical staff and full time employees, adjusted patient per medical staff and the number of cases implemented which were proposed by employees should be evaluated by a 5 year trend value received the most answers. The growth rate of revenue should be evaluated by objectives and the 5 year trend values received the same high scores. Any organization needs to have its own explicit objectives to grow and develop and it is absolutely necessary to measure performance to accomplish them. The performance measurement indicators developed by this study are expected to be used as a tool to attain the objectives of S Hospital. In conclusion, based on these results, it will be necessary to permeate to the other facilities in the Medical Center after implementing a performance measurement pilot study in S Hospital by subdividing relative values, determining objectives for each indicator and 5 year trend values. As well, more indicators and performance measurement tools, relative values and an incentive system based on outcomes like BSC need to be researched further.ope

    μ„œμšΈλŒ€ν•™κ΅ κ³„μ ˆν•™κΈ° 온라인 학점 κ°•μ’Œ κ°œμ„€μ— λŒ€ν•œ μš”κ΅¬μ‘°μ‚¬

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    κΆŒμ˜€λ‚¨ ꡐ수의 <미뢄방정식 개둠> : 탐ꡬλ₯Ό 지ν–₯ν•˜λŠ” ν•™μŠ΅

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    "ꡐ윑의 μ§ˆμ€ κ΅μ‚¬μ˜ μ§ˆμ„ λŠ₯κ°€ν•  수 μ—†λ‹€"λŠ” 말처럼 μˆ˜μ—…μ— κ°€μž₯ 큰 영ν–₯을 λ―ΈμΉ˜λŠ” μš”μΈμ€ ꡐ사이닀. κ΅μ‚¬λŠ” ꡐ윑 μ „μˆ˜μ˜ μ£Όμ²΄λ‘œμ„œ ν•™μŠ΅μžμ˜ 학업성취에도 κ°€μž₯ 큰 영ν–₯을 μ€€λ‹€. λ”°λΌμ„œ μˆ˜μ—… κ°œμ„ μ˜ μ„±νŒ¨λ₯Ό μ’Œμš°ν•˜λŠ” μš”μΈμ€ 질적 변화라고 ν•  수 μžˆλ‹€. ν•™λ‚΄ κ΅μˆ˜μ™€ κ°•μ‚¬μ˜ ꡐ수 λŠ₯λ ₯의 ν–₯상을 μœ„ν•΄ μ§€μ†μ μœΌλ‘œ λ…Έλ ₯ν•΄ 온 κ΅μˆ˜ν•™μŠ΅κ°œλ°œμ„Όν„°κ°€ κ·Έκ°„ 이λ₯Ό μœ„ν•΄ μ‹œλ„ν•œ 방법은 λŒ€μ²΄λ‘œ λ‹€μŒ 두 κ°€μ§€λ‘œ μš”μ•½ 될 수 μžˆλ‹€

    μˆ˜ν–‰μ§€μ‹μ΄ μΆ”κ°€λœ 집단 λ³΄ν–‰μƒμƒν›ˆλ ¨μ΄ λ‡Œμ‘Έμ€‘μœΌλ‘œ μΈν•œ λ§Œμ„± νŽΈλ§ˆλΉ„ ν™˜μžμ˜ λ³΄ν–‰μˆ˜ν–‰ λŠ₯λ ₯에 λ―ΈμΉ˜λŠ” 영ν–₯

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    Dept. of Physical Therapy/석사Locomotor imagery training (LIT) is a practice in which a patient imagines the performance of a given motor sequence without physical practice. The LIT protocols require repeated cognitive rehearsals of specific motor tasks, and it has been reported to reduce impairment and improve motor function in individuals with hemiparetic stroke.The purpose of this study was to evaluate the effects of group LIT combined with knowledge of performance (KP) to improve the gait performance in persons with chronic hemiparetic stroke. This study employed a pretest-posttest control group study design with a four-week intervention. Nineteen subjects with chronic hemiparetic stroke were recruited from the inpatient unit of a local rehabilitation hospital and were randomly assigned to two groups (10 in the experimental group and 9 in the control group). The participants in the control group received only regular physical therapy, while the subjects in the experimental group participated in videotape-based group LIT with KP in addition to regular physical therapy. The group LIT participants were asked to imagine the movement of normal gait. The group LIT protocol consisted of six stages: (1) progressive relaxation, (2) external imagery, (3) problem identification, (4) internal imagery, (5) mental rehearsal, and (6) motor performance. The intervention consisted of 1 hour of group LIT, 5 times per week for 4 weeks. All subjects were tested before and after the 4-week training periods. Gait performance was assessed by spatiotemporal parameters and clinical measures. Spatiotemporal parameters were collected with a portable gait analysis system, GAITRite (CIR System Inc, Havertown, PA, USA). The Dynamic Gait Index (DGI) and Timed Up and Go (TUG) test were used as clinical measures. An independent t-test was conducted to determine the differences in the participants’ general characteristics between groups and to compare group differences in the pre- to post-intervention changes in each outcome measure. The level of significance was Ξ±=0.05. The changes from pre- to post-intervention of the experimental group were greater than those of control group for gait velocity (p=0.039) and cadence (p=0.033). No significant differences were observed in stride length (p=0.355), step length (p=0.221), step time (p=0.577), and single limb support period (p=0.510) for the affected limb between the groups. As for clinical measures, the increase of DGI score from pre- to post-intervention was significantly greater in the experimental group than in the control group (p=0.014), and the changes of TUG test score were significantly lower in the experimental group than in the control group (p=0.020). The results of this study suggest that group locomotor imagery training (LIT) with knowledge of performance (KP) can be a possible training option to improve gait performance after hemiparetic stroke. Further clinical studies to establish more systematic training protocols that can be applied in clinical practice and the modification of group LIT with KP is required for the optimization of the program.restrictio

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