| dc.contributor.advisor | 苑守慈 | zh_TW |
| dc.contributor.advisor | Yuan, Soe-Tysr | en_US |
| dc.contributor.author (作者) | 王詩翔 | zh_TW |
| dc.contributor.author (作者) | Wang, Shih-Hsiang | en_US |
| dc.creator (作者) | 王詩翔 | zh_TW |
| dc.creator (作者) | Wang, Shih-Hsiang | en_US |
| dc.date (日期) | 2005 | en_US |
| dc.date.accessioned | 18-九月-2009 14:30:01 (UTC+8) | - |
| dc.date.available | 18-九月-2009 14:30:01 (UTC+8) | - |
| dc.date.issued (上傳時間) | 18-九月-2009 14:30:01 (UTC+8) | - |
| dc.identifier (其他 識別碼) | G0093356029 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/35229 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理研究所 | zh_TW |
| dc.description (描述) | 93356029 | zh_TW |
| dc.description (描述) | 94 | zh_TW |
| dc.description.abstract (摘要) | 老人居家照護是近來愈趨重視的議題，過去ㄧ直以來主要著重在老人生理狀態的偵測及相關居家醫療儀器的研究，但除了生理上訊號所顯現的不適之外，尚有其它的問題困擾著老人的生活。對於在老人身上所產生的許多不適，最直接的就是反映在老人的情緒上，若是能針對老人目前所處的環境狀態分析出造成老人情緒狀態轉變的因素，將有助於提升老人的生活品質。本研究所採用的替換調適模式之案例式推理，有別於一般案例式推理的應用，一般案例式推理需要對於應用領域的知識有相當了解才能達到有效地案例調適，因此在發展案例式推理的應用時，需要經過相當長的資訊收集，而替換調適模式運用一些已經存在的案例，從中萃取出案例間的關聯性，並藉由案例的不斷累積來自動化的調適案例庫中的知識，因此將使得推理的結果更符合老人過去的生活習性，因此能針對老人的情緒狀態找出形成的因素，而找出改變情緒的形成因素之後，將有機會的進一步解決老人目前所遭遇的生活難題，最終本研究期望能藉此達成提升老人生活品質的目的。 | zh_TW |
| dc.description.abstract (摘要) | e-Care for aging has become an increasingly important research topic in recent years. Most research focus on the detection of Physiological state or the study of the e-Care medical devices. Nevertheless, there are still other problems tormenting an aging’s life besides physiological discomfort detected from physiological signals. For instance, it is often the case that the discomfort comes from the aging`s atypical mood status. In other words, causes behind the change of the aging’s mood status would help improve the quality of the aging’s life. Accordingly, this paper presents a substitution-based case adaptation CBR to analyze the causes of effecting the change of the aging’s mood status. Substitution-based case adaptation CBR differs from general CBR in lean adaptation knowledge required. Most existing CBR systems rely on an enormous amount of built-in adaptation knowledge in the form of adaptation rules (that require a deep analysis of the domain). Substitution-based case adaptation can make use of a limited number of cases to extract the relations between the cases and reach automatic adaptation. With the accumulation of cases in the case library, the result of inference fit in line with the habit of the aging’s life would be improved based on this automatic adaptation. The contribution of our method aims at reaching the e-Care goal of improving the aging’s life quality from the mental perspective. | en_US |
| dc.description.tableofcontents | 第一章 緒論 1第一節 研究背景 1第二節 研究動機 2第三節 研究目的與預期貢獻 4第四節 研究程序 7第二章 文獻探討 9第一節 老人居家照護近況 9第二節 案例式推理 14第三節 案例調適方法 17第三章 研究方法 22第一節 應用環境架構 22第二節 相似案例擷取 27第三節 案例調適 42第四節 案例儲存 46第五節 問題解決流程運作實例 47第四章 實驗設計與結論 52第一節 實驗情境設計 52第二節 實驗評估與設計 53第三節 實驗結果與評估 53第五章 系統架構 91第一節 iCare智慧型居家照護平台 92第二節 系統架構 94第三節 系統流程說明 96第四節 系統執行畫面 98第六章 結論與未來研究方向 102第一節 結論 102第二節 本研究之商業價值 104第三節 未來研究方向 105參考文獻 108 圖目錄圖1-1 研究程序 8圖2-1 台灣人口年齡結構趨勢圖 10圖2-2案例式推理流程 15圖2-3 Classification based on domain knowledge requirement. 19圖2-4 Classification based on learning capabilities 20圖3-1問題解決流程圖 27圖3-2 Hasse diagram of Formal context for the travel agency domain 34圖3-3 屬性值附屬關係調適圖 46圖3-4 Hasse diagram for aging domain 51圖4-3 user stereo type(想家人，非亂數產生) 57圖4-4 user stereo type(想家人，亂數產生) 58圖4-5-1 user stereo type(無聊，非亂數產生) 59圖4-5-2 user stereo type(無聊，非亂數產生) 60圖4-5-3 user stereo type(無聊，非亂數產生) 61圖4-6-1 user stereo type(無聊，亂數產生) 62圖4-6-2 user stereo type(無聊，亂數產生) 63圖4-6-3 user stereo type(無聊，亂數產生) 64圖4-7 完整案例屬性狀態實驗結果 65圖4-8 遺漏單一屬性狀態實驗結果 67圖4-9 遺漏兩個屬性狀態實驗結果 68圖4-10 遺漏三個屬性狀態實驗結果 70圖4-11 完整案例屬性狀態實驗結果(亂數產生) 72圖4-12 遺漏單一屬性狀態實驗結果(亂數產生) 73圖4-13 遺漏兩個屬性狀態實驗結果(亂數產生) 74圖4-14 遺漏三個屬性狀態實驗結果(亂數產生) 76圖4-15 情境(一)示意圖 79圖4-16 情境(二)示意圖 80圖4-17 情境(三) 加入Field Generator示意圖 82圖4-18 成本與效益趨勢圖 85圖4-19 成本與效益對應圖 87圖5-1 iCare Platform 93圖5-2 系統架構圖 96圖5-3系統初始畫面 98圖5-4完整案例屬性值狀態之推論 99圖5-5遺漏部分案例屬性值狀態之推論 100圖5-6 案例屬性之關聯性圖 101 表目錄表3-1案例屬性與屬性值 29表3-2 Formal context for the travel agency domain 33表3-3老人狀態案例表 48表3-4案例屬性與屬性值表 49表4-1完整案例屬性狀態實驗結果 65表4-2遺漏單一屬性狀態實驗結果 66表4-3遺漏兩個屬性狀態實驗結果 68表4-4遺漏三個屬性狀態實驗結果 69表4-5完整案例屬性狀態實驗結果(亂數產生) 71表4-6遺漏單一屬性狀態實驗結果(亂數產生) 72表4-7遺漏兩個屬性狀態實驗結果(亂數產生) 74表4-8遺漏三個屬性狀態實驗結果(亂數產生) 75表4-9 實驗環境效益表 83 | zh_TW |
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| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0093356029 | en_US |
| dc.subject (關鍵詞) | 案例式推理 | zh_TW |
| dc.subject (關鍵詞) | 替換調適模式 | zh_TW |
| dc.subject (關鍵詞) | case-based reasoning | en_US |
| dc.subject (關鍵詞) | substitution-based case adaptation model | en_US |
| dc.subject (關鍵詞) | knowledge-Lean adaptation method | en_US |
| dc.subject (關鍵詞) | e-Care | en_US |
| dc.title (題名) | 替換調適模式之案例式推理於智慧型老人居家照護 | zh_TW |
| dc.title (題名) | Substitution-Based Case Adaptation CBR for Quality Aging in Place | en_US |
| dc.type (資料類型) | thesis | en |
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