110023 research outputs found
Sort by
Applying Text Mining Techniques and Machine Learning to Analyze the Relationship between Annual Reports and the Enforcement Actions: A Case Study of Electronic Component Industry in Taiwan
No full text[[abstract]]隨著科技迅速的發產標對於產業累積越來越多的資訊，過去的財務實證研究中多以企業的結構化資料財務型指標做為分析的標的，隨著機器學習技術不斷的更新也發展出文本分析的方法從非結構化的文字中找出隱含的意義。
2012年IFRS開始適用後，越來越重視企業應遵循一致的會計準則而且對於訊息揭露的品質在法規上也制定諸多的規範保障利害關係人及防止舞弊發生。
本研究以2013年至2018年之間的電子零件業上市公司於這段研究期間受到裁罰處份的公司發佈的股東會年報，透過斷詞後的詞彙進行分群找出詞彙間的關聯性，再依照年度分別找出每年的重要訊息的關鍵字進行分類建模，以機器學習的演算法邏輯迴歸、決策樹、隨機森林、貝式網路、支援向量機進行預測，結果顯示五種演算法的正確分類率皆達75%以上，其中以決策樹與貝式網路表現最佳。[[abstract]]With the rapid development of technology and the accumulation of more and more information for the industry, In the past financial empirical research, most of the financial indicators of the company’s structured data were used as the target of analysis. With the continuous update of machine learning technology, text analysis methods have also been developed to find hidden meanings from unstructured text.
Since the introduction of IFRS in 2012, more and more attention has been paid to enterprises to follow consistent accounting standards and to formulate many regulations on the quality of information disclosure to protect stakeholders and prevent fraud.
This study uses the annual reports of shareholders' meetings issued by listed companies in the electronic components industry between 2013 and 2018 that were sanctioned during this research period, and finds the correlation between words by grouping the words after word segmentation. Then according to the year, find out the keywords of the important information of each year for classification modeling, and use the machine learning algorithm logistic regression, decision tree, random forest, Bayesian network, and support vector machine to make predictions. The results show five algorithms The correct classification rates of all methods are above 75%, among which the decision tree and Bayesian network perform best
A Study on the Creation of Anthropomorphic Characters – A Case Study of Traditional Chinese Medicinal Materials
No full text[[abstract]]隨著訊息傳遞的進步，擬人化在各領域中已經廣泛利用於宣傳上，根據許多文獻顯示擬人化設計在與觀者上的互動跟吸引目光都有不錯的迴響，本研究運用擬人化的力量讓枯燥乏味的知識提升學習的動機與互動性，拉近事物與我們之間的距離。此外，高齡社會的影響與生活品質的提升，人們更加注重養生與保健，中藥材的使用從以治療為主漸漸地轉換成預防與保健互相結合的模式，中藥材與養生飲食習慣有著緊密的關係，但大眾對中藥材的辨別與認知卻常混淆不清，故本研究以中藥材為主題，彙整三帖常見中藥配方中的十四種中藥材，藉由將中藥材進行擬人化角色來串連與中藥材知識之間的橋樑，增加觀者主動學習的促進力，並加深對於中藥材特徵與功能的了解，以達到推廣中藥材的文化價值與知識。
本研究彙整出三帖配方中的十四種中藥材，進而製作十四款中藥材擬人化角色，並透過專家訪談問卷，以及根據專家提供建議進行中藥材擬人化角色優化，再由250位受測者並進行中藥材擬人化角色之辨識與 ARCS 學習動機滿意度調查問卷。
本研究透過問卷的調查了解到若依照男女來區分中藥材擬人化角色之辨識率，女生高於男生居多，但若按照年紀來分辨則是30歲（含）以下的受測者較能接受中藥材擬人化角色，男女皆有高度的學習動機滿意度，其中男性的學習動機滿意度高於女性。
最後，希冀本研究藉由十四種中藥材為主題，對擬人化結合傳統知識之相關設計研究有所貢獻以及參考依據。[[abstract]]With the advancement of information transmission, anthropomorphism has been widely used in various fields for promotion. According to many literatures, anthropomorphic design has a good effect on interaction with viewers and attracting attention. In addition, the influence of an aged society and the improvement of quality of life, people are more and more health-conscious nowadays, and the use of traditional Chinese medicinal materials. The use of traditional Chinese medicinal materials has gradually shifted from a predominantly curative model to one that combines prevention and health care. This study aims to promote the cultural value and knowledge of traditional Chinese medicinal materials, by linking the knowledge of traditional Chinese medicinal materials with the anthropomorphic role of traditional Chinese medicinal materials, increasing the active learning power of the viewers, and deepening the understanding of the characteristics and functions of traditional Chinese medicinal materials.
In this study, 14 traditional Chinese medicinal materials from 3 formulas were compiled to create 14 traditional Chinese medicinal materials anthropomorphic characters, and expert interviews were conducted to optimize the traditional Chinese medicinal materials anthropomorphic characters based on the suggestions provided by the experts, and 250 participants were tested to identify the traditional Chinese medicinal materials anthropomorphic characters and the ARCS learning motivation survey.
Through the questionnaire survey, this study learned that if the recognition rate of anthropomorphic characters of traditional Chinese medicinal materials is distinguished according to men and women, girls are higher than boys, but if they are distinguished by age, subjects under the age of 30 (inclusive) are more likely to accept anthropomorphic roles of traditional Chinese medicinal materials, and both men and women have high satisfaction with learning motivation, among which men's satisfaction with learning motivation is higher than that of women.
Finally, it is hoped that this study will contribute to the design research on the integration of traditional knowledge with anthropomorphism by using 14 traditional Chinese medicinal materials as the theme
Analysis of middle-aged innovation and Employment Engagement
No full text[[abstract]]本研究以銀髮族創新就業的模式進行技術報告，台灣的勞動力現在面臨著人口變化。國家發展委員2020年中華民國人口推算報告書(2020-2070)提到，台灣1993年進入高齡社會，2018年進入高齡社會，預估2025年社會將進入超高齡社會。為更貼近區域性的在地銀髮人才的服務需求，勞動部相關銀髮就業中心，因應法規之規範也逐步籌備轄區之銀髮人才的就業模式。
本研究以盤點彙整現行相關銀髮制度與法規，並分析國外案例，建立銀髮族創新就業模式，結果發現，銀髮人才中心運作模式應掌握系統應備模式、勞動權益、平台資料庫、中高齡講師培育模式、多元就業彈性，並連結創新型態就業模式架構，作為銀髮產業的開展。[[abstract]]This study conducts a technical report on the model of innovative employment for senior people. Nowadays, labor force is facing demographic changes in Taiwan. National Development Council-Bilingual Nation Policy mentions that the population of Taiwan’s projection report in 2020. Taiwan entered an aged society in 1993 and an elderly society in 2018；moreover, it is estimated that society will become higher elderly society in 2025. In order to meet the service needs of local senior talents that Senior Workforce Development Service Center gradually norms senior talents in their job.
This study organizes the elderly’s system and regulations to analysis foreign cases to establish an innovative employment model for senior people. The result shows that the operation model of senior talent’s centers should get ready to take over that labor rights, platform database, middle-aged lecturer cultivation model, and multiple employment. To link innovative employment model on development the elderly’s industry
老年人之德性要求：修養光陰效應假說的檢驗
No full text[[abstract]]台灣青老世代衝突已萌生，若持續擴大，將造成社會更大紛爭，為防範未然，本計畫試圖理解青老衝突的文化因素，作為未來解決方案的機制。本計畫以華人「老德幼敬」的相對倫理為規範，從德行此單一面向探討對老年人的態度，提出「時間－修養－德行」的命題與「光陰效應」假說──即年齡增長的同時也預期德行的成長，因之人老時應有更高德行，若失德，將得不到尊敬。本計畫將以系統性的、多元的研究方法去證實上述論點，從社會現象為始逐步探索其內在機制。期待透過本計畫的探索，能從時間觀點開啟青老世代的相互理解，讓台灣能共創青老團結的社會。 [[note]]科技部[[note]]2022-08-01～2023-07-3
兒童比喻語言理解發展追蹤研究：隱喻與成語的理解表現及其影響因素(II)
No full text[[abstract]]本研究旨在探討兒童比喻語言理解發展的歷程。在107至109年度，本研究以隱喻為實驗材料，探討類比推理、語意整合分別對受試兒童在幼兒園大班與國小一年級時隱喻理解表現的影響。110年度計畫中將新增中文四字成語為實驗材料，以瞭解受試兒童在不同類型比喻語言理解發展上的變化。由於隱喻是人們學習的認知工具，成語則是深具文化特色的人際溝通經濟短語，本研究以縱貫式追蹤研究持續觀察K-9兒童的比喻語言理解發展情形及其影響因素，研究成果可提供不同學習階段的教師做為教學語言使用與學習活動設計之參考，發揮學術研究有效融合於教學實踐之目的，有效幫助學習者擁有更好的學習成果。[[note]]科技部[[note]]2021-08-01～2022-07-3
全幅電子病歷自然語言檢索與病徵主題建置系統：從出院摘要報告到護理紀錄
No full text[[abstract]]本計畫預計整合統計式準則模組暨語意簡化法(Statistical Principle-based Approach & Reduction algorithm, SPBAR)，以及中國附醫臨床研究資料庫(CMUH-CRDR)提供之去識別化臨床研究數據，共同產生符合醫護需求的臨床標註資料，並以此基礎開發臨床命名實體及關連擷取模組，有別於傳統機器學習模型，SPBAR模型以知識為本而非複雜數學公式，臨床使用者可輕易判斷系統決策依據，透過應用橋接使SPBAR能與臨床端接軌，開發醫療資訊檢索系統，藉由系統大量分析臨床非結構數據，輔助醫護進行醫療決策，降低人員文本搜尋負擔，同時亦促進臨床文獻探勘研究發展。 [[note]]科技部[[note]]2021-08-01～2024-07-3
網路遊戲成癮高低風險大學生使用情緒壓抑策略程度、負面情緒情境的眼動與相應腦波表現之差異
No full text[[abstract]]瞭解網路遊戲成癮風險高低對情緒壓抑程度與情緒調控神經生物指標之影響。其次，探討網路遊戲成癮群體中，情緒壓抑與不同神經生物內生表現間的關係。最後，使用虛擬實境進行評估，此可增加評估的生態效度，且以此為基礎的腦波與視覺回饋訓練，更容易將療效類化於真實情境中。[[note]]科技部[[note]]2021-08-01～2022-07-3