27 research outputs found

    A Study on the Human-Centered Design Method Aimed at Improving Functions of the Integrated Navigational Information System of Ship

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    Under the goal of ensuring ship safety, the International Maritime Organization (IMO) has been focused on implementing e-Navigation, modernizing the Global Maritime Distress and Safety System (GMDSS) and advancing ship navigation systems by adopting Information and Communication Technology (ICT) and Internet of Things (IoT). At the same time, even now, users are able to utilize information on own ship, target, Marine Safety Information (MSI) and navigation area in an integrated manner based on chart data thanks to on-board navigation equipment such as RADAR and Electronic Chart Display and Information System (ECDIS). As such, we are observing the sophistication of navigation equipment on the back of automation, integration and digitization. Changes of the on-board environment is expected to contribute to maritime safety due to increased level of work efficiency, ease of acquiring information and timely provision of support from the shore. ECDIS, which is currently used in linkage with various other on-board equipment to provide complex information, has been the subject of several analyses. The system has been found to have problems during use such as occurrence of system errors unexpected when applying new integrated navigation equipment to ship, display of unnecessary information and alarms and lack of user convenience features. With automation, integration and digitization of navigation equipment, information offered to users may become complex and cluttered. Thus, in the process of integrating multiple information, reliability and visual identifiability of information must be guaranteed. Also, to help users leverage the integrated navigational information system in a way that fits their needs according to maritime policies to be implemented, identification of information required by users, definition of relevant services, development of database and setup of communication environment and on-shore facilities need to be carried out. This study is focused on the human-centered design method to improve the integrated navigational information system in order to support the decision-making process of navigation officers during ship operation as well as safe navigation. To this end, information currently used aboard to achieve ship safety was analyzed to identify problems of use and derive methods for improvement. The human-centered design of the integrated navigational information system should be able to provide navigation officers with essential information that is reliable and visually identifiable as well as convenience features that reflect user needs. In this study, information and features required for the integrated navigational information system by existing institutions were identified and problems that arise during use were derived through analyses of incidents and anomalies and user assessment. Also, features improved by reflecting user needs were proposed as alternatives to identified problems to develop the human-centered design. In the end, a display interface that indicates several information of the integrated navigational information system was designed, from which the final system was built to monitor ship operation from the shore based on policies to be implemented in the future. Chapter 1 specifies the definition of integrated navigational information system along with the background, purpose, scope and methodology of study. The integrated navigational information system is a system with equipment and devices that enable communication with the world outside a ship, providing external and internal information required for safe navigation in connection with other navigation equipment and efficiently displaying information processed for the convenience of the user. ECDIS and RADAR currently used aboard are also integrated in the sense that they offer processed information in link with other navigation equipment. Still, while serving their specific purposes of meeting the chart carriage requirement and assisting in collision avoidance, they fail to furnish every information needed for navigation safety. Thus, they need to be improved in order to be recognized as a sufficiently-integrated navigational information system. To qualify as a human-centered integrated navigational information system, the integration of ship information should turn out only essential information required for safe navigation that enables easy passage planning, navigation according to plan and change of plan, rather than random, complex and hard-to-identify information. Chapter 2 introduces an analysis on carriage requirements and performance standard of navigational communication equipment required by the IMO and International Electrotechnical Commission (IEC). It highlights how internal and external information is used aboard through the integrated navigational information system and identifies 39 different types of essential information. Additionally, the chapter details the progress of e-Navigation implementation and GMDSS modernization review and the future direction for developing the integrated navigational information system. Chapter 3 covers the level of impact that integrated navigational information used aboard has on safe navigation. It also provides an analysis on marine casualties and discovered anomalies regarding the use of the integrated navigational information system, revealing problems that arise during system usage. A survey was conducted on users, seafarers that board ships under the International Convention for the Safety of Life at Sea (SOLAS) and to-be seafarers that have completed relevant maritime training and education, to devise the method of human-centered design. The Kano model was applied to the result of the survey to analyze the quality attributes of information provided by the integrated navigational information system. Eight cases of marine casualties related to the use of ECDIS, an integrated navigational information system, that took place between 2007 and 2013 were analyzed. Identified causes included lack of user understanding on ECDIS equipment, incomplete display setting by user, incomplete safety setting by user, use of small-scale chart and omission of updates. They were found to culminate in issues such as inappropriate route planning and limited use or omission of information. Systemic problems with equipment or service were failure of ECDIS to sound alarms and omission of information by the electronic navigational chart itself. Of anomalies of the integrated navigational information system, types of failure to provide necessary information included inability to correctly display symbols for IMO-approved features, incorrect display of foul areas and obstructions, inability to display stranded/dangerous wrecks and obstructions, inability to clearly display small (point) land areas on small-scale charts, incorrect display of colored arcs of light sectors, inability to correctly display time variable data, tidal stream data not available in usable form, inability to display characters and numbers and error in display of foul area. Information displayed, but in an unclear manner included screen clutter and unnecessary alarms and indications. A user survey on navigation and communication equipment that can be used as integrated navigational information system of ships was conducted. The result showed that improvements required for existing systems were provision of essential information, visual identifiability of information and convenience of use. User survey and analysis by Kano model were carried out on the 39 different types of information of the integrated navigational information system identified from the IMO and IEC performance requirements analysis. As a result, information required for collision avoidance had one-dimensional quality attributes. Those related to Automatic Identification System (AIS) target loss alarm, line of position display and software maintenance were found to have the highest level of must-be quality attributes. Information used for purposes other than those original for navigational charts such as setting of safety depth, reading of tracked target information, comparison of route planning and serving as an interface to information from other equipment were discovered to have attractive quality attributes that could raise the level of user satisfaction. Display of information that is not directly related to safe navigation such as RADAR overlay, International Hydrographic Organization (IHO) standard symbols, target metadata, interface with Bridge Navigational Watch Alarm System (BNWAS) and System Electronic Navigation Chart (SENC) were shown to have negative quality attributes. In Chapter 4, two ways of improving the problems of the integrated navigational information system pointed out in Chapter 3 are proposed. First, in order to provide essential information and increase the level of visual identifiability, navigation area should be divided into ocean, coast and in-port, the scale of which are set as 1: 350,000 or below, from 1: 30,000 to 1: 349,999, and 1: 29,999 or above, respectively. Also, if the depth is 100m or deeper for the navigation area of an ocean, the contour interval is suggested to be a minimum 50m. As for coastal navigation areas, the contour interval is proposed to be 1m for the depth between 10m and 25m, and 10m for the depth of between 30m and 100m. The contour interval for the in-port navigation area should be 0.1m for a depth of between 10m and 25m, and 1m for a depth of 10m or shallower. Every piece of information provided under the standard display mode and all other display modes of ECDIS should be in the form of images rather than characters in principle. Additional information in the form of characters and numbers should be displayed when a certain object symbol is selected or through a one-button method by creating new icons. The second proposal is to enable changes in route plans by entering a certain distance from the area that is to be avoided or applying conditions such as altering course, thereby improving convenience for navigation officers. This helps ships reflect MSI including meteorological data and information on search and rescue or maritime drills of the navy received from Enhanced Group Call (EGC) or Navigational Telex (NAVTEX) messages by using the integrated navigational information system, contributing to safe navigation. As part of the study, a display interface to confirm the information of own ship on the integrated navigational information system was designed and installed on HANNARA, a training ship of the Korea Maritime and Ocean University. The system was built to monitor on shore the safe navigation status of ship via LTE and 3G mobile communication network in an actual navigation environment. Tests were run to check data transmission through the currently-used communication network and if the navigation status of ship could be monitored from shore. It was concluded that data transmission was sufficiently stable to monitor the operation status in real time from the shore based on a commonly-used mobile communications network. This study is meaningful in that it takes the view of navigation officers, not equipment, in identifying problems of using the integrated navigational information system through various ways and proposing a human-centered design method as an improvement to achieve safe navigation. Further studies will be required to develop an integrated navigational information system complete enough to realize safe navigation and one that considers current problems as well as policies of e-Navigation implementation and GMDSS modernization. The ultimate goal is designing essential and convenient features centered on users and implementing every improvement that has been proposed to develop a single system capable of monitoring ship operation, the result of which will be sent to shore. In the future, this study could be used as a basic reference for advancing research on automation of autonomous ships.1. μ„œ λ‘  1 1.1 μ—°κ΅¬μ˜ λ°°κ²½ 및 λͺ©μ  1 1.2 연ꡬ λ²”μœ„μ™€ μˆ˜ν–‰ 방법 4 2. ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ κΈ°λŠ₯ 뢄석 8 2.1 ν•­ν•΄μž₯λΉ„μ˜ μš΄μš©μš”κ±΄ 8 2.1.1 IMO의 RADAR μš΄μš©μš”κ±΄ 8 2.1.2 IEC의 RADAR μš΄μš©μš”κ±΄ 11 2.1.3 IMO의 ECDIS μš΄μš©μš”κ±΄ 12 2.1.4 IEC의 ECDIS μš΄μš©μš”κ±΄ 13 2.2 톡신μž₯λΉ„μ˜ μš΄μš©μš”κ±΄ 14 2.2.1 IMO의 GMDSS μž₯λΉ„ μš΄μš©μš”κ±΄ 15 2.3 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ 이용 17 2.4 e-Navigation 이행 μ •μ±… 21 2.5 GMDSS ν˜„λŒ€ν™” κ²€ν†  μ •μ±… 31 2.6 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ λ³€ν™” 36 3. μ‚¬μš©μžμ€‘μ‹¬μ„€κ³„λ₯Ό μœ„ν•œ ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ 뢄석과 평가 37 3.1 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œ μ‚¬μš©μ— λŒ€ν•œ 문제점 뢄석 37 3.1.1 GMDSS μž₯λΉ„μ˜ μ‚¬μš©κ³Ό 문제점 37 3.1.2 ECDIS μž₯λΉ„μ˜ μ‚¬μš©κ³Ό 문제점 42 3.1.2.1 ECDIS κ΄€λ ¨ 사고사둀 뢄석을 ν†΅ν•œ 문제점 42 3.1.2.2 β€˜ECDIS Good Practice’ 뢄석을 ν†΅ν•œ 문제점 47 3.2 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ— λŒ€ν•œ μ‚¬μš©μž 평가 63 3.2.1 μ‚¬μš©μž 평가 1 63 3.2.1.1 μ„€λ¬Έ 방법과 λ‚΄μš© 63 3.2.1.2 μ„€λ¬Έ 쑰사 κ²°κ³Ό 65 3.2.1.3 μ„€λ¬Έ κ²°κ³Ό 뢄석 75 3.2.2 μ‚¬μš©μž 평가 2 75 3.2.2.1 μ„€λ¬Έ 방법과 λ‚΄μš© 75 3.2.2.2 μ„€λ¬Έ κ²°κ³Ό 뢄석 79 4. κ°œμ„ λœ ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ μ‚¬μš©μžμ€‘μ‹¬μ„€κ³„ λ°©μ•ˆ 89 4.1 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ κ°œμ„  λ°©μ•ˆ 89 4.1.1 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ μ‚¬μš©κ³Ό μΈμ μš”μΈμ˜ 관계 89 4.2 κ°œμ„ λœ ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ μ‚¬μš©μžμ€‘μ‹¬μ„€κ³„ λ°©μ•ˆ 98 4.2.1 ν•­ν•΄μ•ˆμ „μ„ μœ„ν•œ μ •λ³΄μ œκ³΅ κ°œμ„ λ°©μ•ˆ 99 4.2.2 ν•­ν•΄μ•ˆμ „μ„ μœ„ν•œ μΆ”κ°€κΈ°λŠ₯ κ°œμ„ λ°©μ•ˆ 118 4.2.3 ν†΅ν•©ν•­ν•΄μ •λ³΄μ‹œμŠ€ν…œμ˜ κ΅¬ν˜„ 123 5. κ²°λ‘  131 μ°Έκ³ λ¬Έν—Œ 135Docto

    Extraction and Measurement of Living Alone Elderlys Daily Activity Routines for Healthcare using Non-intrusive Sensing

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    ν•™μœ„λ…Όλ¬Έ (박사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : κ³΅κ³ΌλŒ€ν•™ 건좕학과, 2019. 2. μ΄ν˜„μˆ˜.The growth in the number of single-member households is a critical issue worldwide, especially among the elderly. For those living alone, who may be unaware of their health status or routines that could improve their health, a continuous healthcare monitoring system could provide valuable feedback. Assessing the performance adequacy of activities of daily living (ADL) can serve as a measure of an individual's health statusprevious research has focused on determining a persons daily activities and extracting the most frequently performed behavioral patterns using camera recordings or wearable sensing techniques. However, the existing methods used to detect and extract common patterns of an occupant's activities in the home fail to address the spatio-temporal dimensions of human activities simultaneously and guarantee from privacy concerns. Though it is important to assess the ADL routines of the elderly for early diagnosis of the geriatric disorders, it has rarely investigated to develop methods for assessing the variability of ADL routine, which can present the occupant's health status. This research proposes a model for detecting the ADL and a method to extract the ADL routine from a cumulative spatio-temporal log by using the non-intrusive sensing techniques (i.e., a tomographic motion detection system). Also, a method to quantify and assess the variability of ADL routines is developed, which provides a basis for detecting abrupt of gradual change of an occupant's ADL routines the result from a mental disorder. The findings and extracted routines from the experiment collecting 60 days of spatio-temporal log of the elder subject demonstrate the capacity of the proposed approach to extract the ADL routine and reveal the variability of the ADL routine in terms of quantified the irregularity and the abnormality. This research can offer valuable information for home-automated healthcare applications by enabling the assessment of the variability of ADL routines. In addition, the results of this research show a possibility of extracting and assessing the living alone elderly's ADL routine using coarse-grained data (i.e., the spatio-temporal log) with little infringement of personal privacy. The achievements of this research contribute to a part of the welfare of the elderly living alone by improving their quality of daily life and providing a warning for the high variability of the ADL routines which is recommended seeing a doctor for an early diagnosis of geriatric disorders.동거인 없이 혼자 μ‚¬λŠ” 독거 가ꡬ, 특히 고령자 독거 κ°€κ΅¬μ˜ μˆ˜κ°€ μ „ μ„Έκ³„μ μœΌλ‘œ κΈ‰μ¦ν•˜κ³  있으며 졜근 μš°λ¦¬λ‚˜λΌμ—μ„œλ„ 고령자 독거 κ°€κ΅¬μ˜ 건강 관리 μ†Œν™€λ‘œ μΈν•œ κ°œμΈβˆ™μ‚¬νšŒμ  문제 λ°œμƒμ΄ μ¦κ°€ν•˜κ³  μžˆλ‹€. 슀슀둜의 건강 μƒνƒœ λ˜λŠ” 일상 μƒν™œμ˜ κ·œμΉ™μ μΈ μˆ˜ν–‰ μ—¬λΆ€λ₯Ό μΈμ§€ν•˜λŠ” 것 λ§ŒμœΌλ‘œλ„ 개인의 건강을 μ¦μ§„μ‹œν‚¬ 수 μžˆμœΌλ―€λ‘œ 지속적이고 μž₯기적인 건강 λͺ¨λ‹ˆν„°λ§ μ‹œμŠ€ν…œμ€ 독거 고령자 κ°€κ΅¬μ˜ 건강 관리 κ΄€λ ¨ λ¬Έμ œλ“€μ„ ν•΄κ²°ν•˜λŠ” 데 도움을 쀄 수 μžˆλ‹€. μΉ˜λ§€μ™€ 같은 노인성 μ •μ‹ κΈ°λŠ₯ μ§ˆν™˜μ˜ 경우 고령자의 μΌμƒμƒν™œ ν™œλ™μ„ λΆ„μ„ν•¨μœΌλ‘œμ¨ κ΄€λ ¨ μ§ˆν™˜μ˜ 쑰기진단 근거둜 ν™œμš©ν•  수 μžˆλ‹€. μΌμƒμƒν™œ ν™œλ™ (ADL)이 μ μ ˆν•˜κ²Œ μˆ˜ν–‰λ˜κ³  μžˆλŠ”μ§€μ˜ μ—¬λΆ€λ₯Ό ν‰κ°€ν•˜λŠ” 것은 개인의 건강 μƒνƒœλ₯Ό μΈ‘μ •ν•˜λŠ” μˆ˜λ‹¨μœΌλ‘œμ„œ κΈ°λŠ₯ν•  수 있으며 이λ₯Ό μœ„ν•΄ 카메라 촬영 λ˜λŠ” 신체 λΆ€μ°©ν˜• μ„Όμ„œ (wearable sensor)λ₯Ό ν™œμš©ν•˜λŠ” λ°©μ‹μœΌλ‘œ 개인의 μΌμƒμƒν™œ ν™œλ™ μˆ˜ν–‰ μ—¬λΆ€λ₯Ό ν™•μΈν•˜κ±°λ‚˜ κ·Έ νŒ¨ν„΄μ„ μΆ”μΆœν•˜λŠ” 연ꡬ가 μ‹œλ„λ˜μ–΄ μ™”λ‹€. κ·ΈλŸ¬λ‚˜ 기쑴의 μ—°κ΅¬λ“€μ—μ„œ λ„μž…λœ 방법듀은 μˆ˜ν–‰λœ 일상 ν™œλ™μ˜ μ‹œβˆ™κ³΅κ°„μ μΈ 차원을 λ™μ‹œμ— κ³ λ €ν•  수 μ—†κ³  μΌμƒμƒν™œ ν™œλ™μ˜ μ μ ˆμ„± μ—¬λΆ€λ₯Ό νŒλ‹¨ν•˜κΈ° μœ„ν•΄ ν•„μš”ν•œ 정보 이상을 μˆ˜μ§‘ν•˜κ²Œ 됨으둜써 μ‚¬μƒν™œ μΉ¨ν•΄μ˜ μš°λ €κ°€ λ°œμƒν•œλ‹€. 이λ₯Ό λ³΄μ™„ν•˜κΈ° μœ„ν•΄ λ³Έ μ—°κ΅¬λŠ” 고령자 건강 μƒνƒœμ™€ μœ κ΄€ν•œ μ΅œμ†Œν•œμ˜ 정보인 개인 μΌμƒμƒν™œ ν™œλ™μ˜ νŒ¨ν„΄μ„ μ–‘μ μœΌλ‘œ μΈ‘μ •ν•˜κ³  κ·Έ 변동 좔이λ₯Ό μΆ”μ ν•˜μ—¬ μΌμƒμƒν™œ ν™œλ™μ˜ μ μ ˆμ„±μ„ νŒλ‹¨ν•˜λŠ” μ ‘κ·Ό 방식을 μ œμ•ˆν•˜κ³  κ·Έ κ°€λŠ₯성을 ν™•μΈν•œλ‹€. κΈ°μ‘΄ μ„Όμ‹±μ˜ 직접적 (Intrusive) 방식 λŒ€μ‹  간접적 방식 (Non-intrusive) 방식인 λ‹¨μΈ΅μ΄¬μ˜ μ›€μ§μž„ 감지 μ„Όμ„œ (Tomographic motion detection system)λ₯Ό ν™œμš©ν•˜μ—¬ μž¬μ‹€μžμ˜ μ‹œβˆ™κ³΅κ°„ 둜그λ₯Ό μˆ˜μ§‘ν•˜κ³  μ΄λ‘œλΆ€ν„° μˆ˜ν–‰λœ μΌμƒμƒν™œ ν™œλ™μ„ κ°μ§€ν•˜λŠ” λͺ¨λΈμ„ μ œμ•ˆν•œλ‹€. λ˜ν•œ μΌλ³„λ‘œ μˆ˜ν–‰λœ μΌμƒμƒν™œ ν™œλ™μ˜ 곡톡 νŒ¨ν„΄μ„ μΆ”μΆœν•˜κ³  μž₯기적인 κ΄€μ μ—μ„œμ˜ νŒ¨ν„΄ λ³€ν™”λ₯Ό μ–‘μ μœΌλ‘œ μΈ‘μ •ν•˜λŠ” 방법을 μ œμ‹œν•œλ‹€. 혼자 μ‚¬λŠ” 고령자의 60일 κ°„μ˜ μ‹œβˆ™κ³΅κ°„ 둜그λ₯Ό λ³Έ μ—°κ΅¬μ˜ μ‚¬λ‘€λ‘œμ„œ μˆ˜μ§‘ν•˜κ³  μ œμ•ˆν•œ 방법을 μ μš©ν•˜μ—¬ μΌμƒμƒν™œ ν™œλ™μ˜ 감지 및 νŒ¨ν„΄ μΆ”μΆœ, λΆˆκ·œμΉ™ 정도와 이상 정도λ₯Ό λ‚˜νƒ€λ‚΄λŠ” νŒ¨ν„΄μ˜ 양적 λ³€ν™”λŸ‰μ„ λ„μΆœν•˜λ©° κ²°κ³Ό 뢄석을 톡해 μ œμ•ˆν•œ λ°©λ²•μ˜ 적용 κ°€λŠ₯성을 보여쀀닀. 간접적 센싱을 톡해 μž¬μ‹€μžμ˜ μΌμƒμƒν™œ ν™œλ™ 데이터λ₯Ό μˆ˜μ§‘ν•˜κ³  νŒ¨ν„΄μ˜ μΆ”μΆœ 및 변동성 평가가 μžλ™μ μœΌλ‘œ κ°€λŠ₯ν•˜λ„λ‘ ν•¨μœΌλ‘œμ¨ 슀마트 ν™ˆ 기반 μž¬μ‹€μž 건강 관리 기술의 κ°œλ°œβˆ™ν™œμš©μ— κΈ°μ—¬ν•  수 μžˆλ‹€. λ˜ν•œ λ™μΌν•œ λͺ©μ μ„ μœ„ν•œ 기쑴의 방법과 달리 μž¬μ‹€μžμ˜ μ‹œβˆ™κ³΅κ°„ λ‘œκ·Έμ™€ 같은 행동 쀑심이 μ•„λ‹Œ λ°μ΄ν„°λ§ŒμœΌλ‘œλ„ 행동 νŒ¨ν„΄ 정보λ₯Ό λ„μΆœν•˜λŠ” 것이 κ°€λŠ₯함을 보여쀀닀. κ·Έ κ³Όμ •μ—μ„œ 슀마트 ν™ˆ 기반 건강 관리 기술의 λ„μž…μ„ μœ„ν•œ 1인 μž¬μ‹€μž 맞좀 주거곡간 및 μ„€λΉ„ κ³„νšμ—μ˜ ν™œμš© λ°©μ•ˆμ„ μ œμ‹œν•˜μ˜€λ‹€. λ³Έ μ—°κ΅¬μ˜ κ²°κ³ΌλŠ” 혼자 μ‚¬λŠ” 고령자의 일상 μƒν™œμ˜ μ§ˆμ„ ν–₯μƒμ‹œν‚€κ³  노인성 κΈ°λŠ₯ μ§ˆν™˜μ˜ μ‘°κΈ° 진단을 μœ„ν•œ ν”Όλ“œλ°± μ œκ³΅μ„ 톡해 κ³ λ Ήν™” μ‚¬νšŒμ˜ 노인 λ³΅μ§€λ‘œ ν™•μž₯될 수 μžˆμ„ κ²ƒμœΌλ‘œ κΈ°λŒ€λœλ‹€.Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Problem Description 3 1.3 Research Objectives and Scope 5 1.4 Dissertation Outline 7 Chapter 2 Preliminary Research 11 2.1 Activities of Daily Living (ADL) for Elderly Healthcare 11 2.1.1 Definitions of ADL 11 2.1.2 Importance of Tracking and Analyzing the Adequacy of ADL 13 2.1.3 Previous Methods for Extracting ADL Routines 19 2.1.4 Need for Assessing ADL Routine Variability 20 2.2 Necessity of using Non-intrusive Sensing for Monitoring Home Activity 23 2.2.1 Collecting the ADL-relevant Information using Sensing Techniques 23 2.2.2 Existing Intrusive Sensing Techniques 25 2.2.3 Need for Non-intrusive Sensing Approach 27 2.2.4 Spatio-temporal Log from Motion Detecting System 28 2.3 Human Activity Contxtualization using Occupants Spatio-temporal Log 30 2.3.1 Relations of Spatio-temporal Log and ADL Routines 30 2.3.2 Activity Information from Spatio-temporal Log 34 2.4 Relevant Methodology 37 2.4.1 Multiple Sequence Alignment for Human Activity Analysis 37 2.4.2 Existing Metrics to Quantify and Assess Human Activity 44 2.5 Summary 52 Chapter 3 Daily Activity Detection using Non-intrusive Sensing 55 3.1 Daily Activity Contextualization Process Design 55 3.1.1 Developing Conceptual Model Framework 55 3.1.2 Extracting Activities from Contextualization Process 58 3.2 Test Experiment 61 3.2.1 Experiment Outline 61 3.2.2 Detecting Daily Activities using Contextualization Process 64 3.2.3 Findings and Implications 72 3.3 Summary 75 Chapter 4 Extracting Daily Activity Routines using Multiple Sequence Alignment 77 4.1 Overview of the Data Collection 77 4.2 Data Cleansing for Applying Sequence Alignment 80 4.3 Data Analysis 82 4.3.1 Alignment with Equivalent Time Frame 83 4.3.2 Alignment with Contextual Time Frame 83 4.3.3 Identifying Consensus Sequence from Two Alignment Results 84 4.3.4 Validation of MSA from Comparing with Existing Methods 85 4.4 Extracted ADL Routines 87 4.4.1 Routine Information of Long-Regular Activities 87 4.4.2 Routine Information of Short-Random Activities 91 4.4.3 Extracted ADL Routines from Integrated Consensus Sequences 93 4.4.4 Validating of the Results from MSA 96 4.5 Summary 99 Chapter 5 Quantifying and Assessing the Variability of Extracted ADL Routines 101 5.1 Activity Quantification with Sequential Information 102 5.2 ADL Variability Analysis 103 5.2.1 ADL Clusters of Each Space 103 5.2.2 Assessing ADL Irregularity Trends 120 5.2.3 Assessing ADL Abnormality Trends 122 5.2.4 Validating Assessed ADL Variability 125 5.3 Summary 129 Chapter 6 Discussion 131 6.1 Expected Applications 132 6.1.1 Design of Residential Space for Living Alone Occupant 132 6.1.2 Providing ADL Routine Information 134 6.2 Summary 137 Chapter 7 Conclusions 139 7.1 Research Results 139 7.2 Research Contributions 142 7.3 Limitations and Future Research 144 References 147 Appendices 159 Abstract (Korean) 171Docto

    데카λ₯΄νŠΈμ˜ ν˜•μ΄μƒν•™μ  μžμ—°ν•™

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μ² ν•™κ³Ό μ„œμ–‘μ² ν•™ 전곡,2001.Maste

    νŒ”λ ˆμŠ€νŠΈλ¦¬λ‚˜ ν΄λ¦¬μ½”λž„ μž‘ν’ˆ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μŒμ•…ν•™κ³Ό 이둠전곡,2000.Maste

    Decartes` metaphysical Physics in Le Monde

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    데카λ₯΄νŠΈμ˜ μžμ—°ν•™μ€ μˆ˜ν•™κ³Ό κΈ°ν•˜ν•™μ˜ μ›λ¦¬λ“€λ§Œμ„ μ μš©ν•œ"(AT β…§-l, 78) 기계둠적 μžμ—°ν•™μ΄λ‹€. κΈ°ν•˜ν•™μ μΈ 곡간은 길이, 넓이, κΉŠμ΄μ—μ„œ λ¬΄μ œν•œμ μœΌλ‘œ μ—°μž₯λ˜μ–΄ 있으며, λ¬΄μ œν•œμ μœΌλ‘œ λΆ„ν™œκ°€λŠ₯ν•˜λ‹€. 데카λ₯΄νŠΈλŠ” 이 κΈ°ν•˜ν•™μ μΈ 곡간을 μ‹€μž¬ μ„Έκ³„μ˜ 곡간과 μΌμΉ˜μ‹œμΌœλ €κ³  ν–ˆμœΌλ©°, 이 μ‹€μž¬ 세계가 μ—°μž₯된 물질둜 가득차 μžˆλ‹€κ³  μƒκ°ν–ˆλ‹€. λ¬Όμ§ˆμ„ μ—°μž₯κ³Ό λ™μΌμ‹œν•œ κ²°κ³Ό 진곡은 μžˆμ„ 수 μ—†λ‹€. 그리고 μ„ μ΄λ‚˜ ν‘œλ©΄μœΌλ‘œ μ‚¬λ¬Όμ˜ ν˜•νƒœλ₯Ό κ΅¬λ³„ν•˜λŠ” κΈ°ν•˜ν•™μ μΈ κ³΅κ°„μ²˜λŸΌ, μ‚¬λ¬Όμ—μ„œ ν˜•νƒœμ˜ 차이 이외에 λ‹€λ₯Έ 차이λ₯Ό μΈμ •ν•˜μ§€ μ•Šμ•˜λ‹€. λ˜ν•œ κ·ΈλŸ¬ν•œ μ„Έκ³„μ—μ„œμ˜ 물체의 μš΄λ™μ„ μ„€λͺ…ν•˜κΈ° μœ„ν•΄μ„œ 역학적인 μš΄λ™ 법칙을 κ³ μ•ˆν•΄ λ‚΄μ—ˆλ‹€. κ·ΈλŸ¬λ‚˜ 데카λ₯΄νŠΈμ˜ μžμ—°ν•™μ€ ν˜•μ΄μƒν•™μ„ μš”κ΅¬ν•œλ‹€. κ·Έ μ΄μœ λŠ” μˆ˜ν•™μ΄λ‚˜ κΈ°ν•˜ν•™μ˜ 확싀성은 우리 μ •μ‹ μ˜ λͺ…μ¦ν•œ μΈμ‹μ—λ§Œ κΈ°μΈν•˜λ©°, μš°λ¦¬μ—κ²Œ λŒ€μƒμ˜ ν˜„μ‘΄μ„ ν™•μ‹ μ‹œμΌœμ£ΌλŠ” 것은 κ·Έ μ•ˆμ— μ—†κΈ°"( AT β…₯, 36) λ•Œλ¬Έμ΄λ‹€. λ”°λΌμ„œ μˆ˜ν•™κ³Ό κΈ°ν•˜ν•™μ˜ 원리λ₯Ό μžμ—° ν˜„μƒμ— μ μš©ν•œ 데카λ₯΄νŠΈμ˜ μžμ—°ν•™μ€ μžμ‹ μ˜ 진리성을 λ‚΄λΆ€μ—μ„œλŠ” 담보해낼 수 μ—†λ‹€. μ΄λŸ¬ν•œ 데카λ₯΄νŠΈ μžμ—°ν•™μ˜ 기계둠적 츑면은 μžμ‹ μ˜ 진리성을 담보해쀄 ν˜•μ΄μƒν•™μ„ ν•„μ—°μ μœΌλ‘œ μš”μ²­ν•œλ‹€

    A Study on Handels English Oratorios - focused on the Relationship of Dramatic development and the Tonality

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    ν•™μœ„λ…Όλ¬Έ (박사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : ν˜‘λ™κ³Όμ • μŒμ•…ν•™(μ„œμ–‘μŒμ•…ν•™μ „κ³΅), 2011.2. 민은기.Docto

    Phenolic compounds and antioxidant activities of black raspberry liqueurs and wines made with different processes

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    ν•™μœ„λ…Όλ¬Έ(석사) --μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μ‹ν’ˆμ˜μ–‘ν•™κ³Ό, 2009.2.Maste

    초고측 κ±΄μ„€μ—μ„œμ˜ ν•™μŠ΅κ³‘μ„ νš¨κ³Ό μƒμ‡„μš”μΈμ— κ΄€ν•œ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 건좕학과, 2014. 2. λ°•λ¬Έμ„œ.Focusing on repetitive works of construction, many research have been conducted about the application of the learning curve effect. However, it is still controversial, especially on the high-rise project, since the productivity improvement from the learning curve effects are hard to prove. In the previous research, the applicability of the learning curve was mainly derived from the labor productivity data. Although the research were based on the real data, they merely concentrated on the simple conclusion that the labor productivity had improved or not, instead of the process interpretation. Therefore, the purpose of this research is to analyze the influence factors of the learning curve effect in high-rise project and elucidate the offset factors of the effect. Based on these factors, a model for estimating the labor productivity containing the concept of process learning is suggested. The suggested model is based on the offset factors which are derived from the previous literature1) the repetition or change of each work section, 2) the workers transit time. The learning curve from the previous theory would be modified with two steps according to the above two factors to estimate the labor productivity. Case study is conducted to verify the models validity and it would prove the validity of the offset factors. Through our research, traditional learning curve theory could be compensated and re-established with having more appropriateness for high-rise projects. Also, it would be helpful for work planning phase, if the manager wants to consider the learning effect of the labor. The research can be a solution of the question why the learning curve effect is not manifested enough in high-rise projects although high-rise projects have enough conditions for the learning curve effect.Contents Chapter 1 Introduction 1 1.1 Research Background 1 1.2 Research Scope and Process 3 Chapter 2 Preliminary Study 6 2.1 Learning Curve Effect in Construction 7 2.2 Offset Factors of the Learning Curve Effect in High-rise Projects 13 2.3 Summary 19 Chapter 3 Labor Productivity Model reflecting Learning Curve Effect 20 3.1 Analysis of Labor Productivity Data 21 3.2 Model Outline 29 3.3 The 1st Modification Process 31 3.4 The 2nd Modification Process 34 3.5 Summary 37 Chapter 4 Case Study 38 4.1 Modification Process of Labor Productivity 41 4.2 Application Results.. 47 4.3 Summary.. 49 Chapter 5 Conclusion 50 5.1 Result and Discussion 50 5.2 Contribution 52 5.3 Further Study 53 Appendices 54 Reference 59 Abstract (Korean) 63Maste

    λΆˆμ†Œνˆ¬μ—¬ ν›„ 배좜된 μš”λ‚΄ λΆˆμ†Œλ†λ„ 변화에 κ΄€ν•œ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μΉ˜μ˜ν•™κ³Ό μ†Œμ•„μΉ˜κ³Όν•™μ „κ³΅,2000.Maste
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