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Synergic Deep Learning for Smart Health Diagnosis of COVID-19 for Connected Living and Smart Cities
No full text[[abstract]]COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous, control solutions, and strategies have been conducted. Earlier classification of 2019 novel coronavirus disease (COVID-19) is needed to cure and control the disease. It results in a requirement of secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that the images hold noticeable details regarding the COVID-19 virus. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. The SDL makes use of dual deep convolutional neural networks (DCNNs) and involves a mutual learning process from one another. Particularly, the representation of images learned by both DCNNs is provided as the input of a synergic network, which has a fully connected structure and predicts whether the pair of input images come under the identical class. Besides, the proposed SDL model involves a fuzzy bilateral filtering (FBF) model to pre-process the input image. The integration of FBL and SDL resulted in the effective classification of COVID-19. To investigate the classifier outcome of the SDL model, a detailed set of simulations takes place and ensures the effective performance of the FBF-SDL model over the compared methods
The System Adoption Evaluation of RFID Safety Management System on Campus
No full text[[abstract]]In this article, we propose a campus safety management system based on radio frequency identification (RFID) technology. In this work, the evaluation based on the system adoption was used to establish a campus-safety management system model and related implementation issues. With the implementation of the RFID system for campus safety management, the system could save the administrators' time and improve the efficiency of service quality. In addition, it helps to prevent the occurrence of security incidents on campus. The critical success factors of the system include the participation of students and parents. Finally, the evaluation on the system adoption is made by questioners. The results show the first three factors affecting the administrators in the school to decide whether the system is used the convenience of use, agreement of students' parents, and the relative advantage. However, school competition and school reorganization could not be the preferred factors to adopt the system
Exploring the use of Radio Equipment in Leisure Activities for Visually Impaired Persons
No full textThe influence of interactive electronic picture books on the concept of spatial rotation
No full text[[abstract]]國內傳統教育中，關於立體空間概念多為二維平面圖像教學，若是能將數位科技導入教材做為立體空間課程的輔助教學工具，將二維平面圖形轉換成三維立體空間，必能改善學童對於抽象式立體空間的學習困擾。近年來，電子繪本技術已趨成熟，也開始廣泛運用於教育界，然而根據研究者的相關文獻搜尋發現，以往在電子繪本之於「閱讀學習」的相關研究中，大多為探討數學、科學以及語文領域等學習成效的相關性研究，但未有探討電子繪本可否提昇學童空間能力之學習成效相關性研究。本研究根據國小六年級生的空間認知能力來進行繪本設計，運用立體方塊來開發一款融入教學活動之數位繪本。本研究採用準實驗研究法，研究對象為國小六年級學生，分為使用紙本繪本的控制組以及使用互動式電子繪本的實驗組，實驗設計以空間旋轉能力測驗、兩套相同劇情架構之教學繪本(紙本繪本、互動式電子繪本)、學習成效測驗以及訪談問卷等作為研究工具。通過本研究驗證結果可知(1)本研究「互動式電子繪本」對國小六年級學生的「空間旋轉能力」具有正向的影響(2)使用多元教材能夠有效的提升學童的學習動機以及興趣(3)通過專家數據分析與質性訪談可知，本研究開發之互動式電子繪本符合導師教學需求，可作為有效的輔助教材。[[abstract]]In traditional domestic education, the concept of three-dimensional space is mostly two-dimensional plane image teaching. If digital technology can be introduced into textbooks as auxiliary teaching tools for three-dimensional space courses, and two-dimensional plane graphics can be converted into three-dimensional space, it will certainly improve students' learning difficulties in abstract three-dimensional space.
In recent years, electronic picture book technology has become mature and has been widely used in the educational field. However, according to the relevant literature search of researchers, most of the previous researches on the effect of electronic picture books on "reading learning" were about the correlation studies on the learning effect in the fields of mathematics, science and Chinese. However, there is no correlation study on whether electronic picture books can improve spatial ability of students. This study designed picture books according to the spatial cognitive ability of sixth grade students in primary school, and developed a digital picture book integrated into teaching activities by using three-dimensional blocks. Through the verification results of this study, it can be seen that (1) the "interactive electronic picture book" in this study has a positive impact on the "spatial rotation ability" of the sixth grade students of primary school in China; (2) the use of multiple teaching materials can effectively improve the students' learning motivation and interest; (3) Through the analysis of expert data and qualitative interview, it can be seen that the interactive electronic picture book developed in this study meets the teaching needs of tutors. It can be used as an effective auxiliary teaching material
The Development and Applications of Folksonomy-based Ontology Construction Scheme
No full text[[abstract]]Due to the rapid evolution of Information and Communication Technology (ICT), a large amount of data could be automatically generated through the cloud services. As we know, Ontologies can facilitate the construction and reuse of domain knowledge. Therefore, recently, the demand for constructing domain ontology has gradually increased, so how to solve the ontology evolution becomes an important issue. However, it is time consuming and very costly to manually evolve the domain ontology. In order to overcome the issue, in this research, we propose the Folksonomy-based Ontology Construction Scheme, including ontology evolving algorithms to solve this problem.
In the scheme, new cases and users’ learning Portfolios of the applications domain are collected and analyzed through a folksonomy approach to facilitate the ontology evolving. To evaluate the performance of our approach, we choose three different applications, including cybersecurity education, computational thinking learning and new media design applications. The collected cases and collected learning portfolio are analyzed and used to further strengthen ontology knowledge, and improve students' learning effectiveness.
The results of the experiment found that:
(1) As for the learning of cyber-security, this scheme of ontology evolving proposed in this research can help students apply cybersecurity knowledge to practical situations, where the students' learning performance has been significantly improved.
(2) As for the learning of computational thinking, this scheme of ontology evolving can help students to use storytelling scripts and animation design and can further enhance students' logic reasoning ability.
(3) As for the learning of collaborative design, this scheme can evolve the new media design ontology by new cases and collected students' feedback. There are more than 75% of the students believe that using Case-Based Reasoning can help them conduct case reference, design and modification, and can improve the quality of writing proposals, reports and problem-solving
Multidimensional Factors Related to Sustainable Stock Market Performances
No full text[[abstract]]在過去幾十年裡，可持續投資發展迅速。 本論文試圖通過檢驗多維因素與可持續股票市場績效隨時間變化的相關性，使用計量經濟學框架來衡量可持續投資的決定因素。 該調查本質上是比較性的，使用不同頻率的數據，檢查 2015 年至 2022 年的不同時間段，並採用廣泛的國際數據源。 計量經濟學分析通過相關的製度細節得到增強，並採用動態統計技術。 本文的新穎之處在於其可持續的股票市場數據、多維變量和分析得出的統計事實。 研究 I 調查了七個亞洲國家可持續股票市場回報的文化維度。 本研究中使用的四個文化維度是權力距離指數 (PDI)、個人主義 (IDV)、不確定性規避指數 (UAI) 和長期取向 (LTO)。 使用 2015-2019 年期間七個亞洲國家每月可持續股票市場回報的面板數據。 本研究採用普通最小二乘法 (OLS) 回歸和具有 id 和時間固定效應的可行廣義最小二乘法 (FGLS) 回歸。 我們的實證調查結果強調了以下事實：(i) 權力距離 (PDI) 的增加將增加亞洲地區的市場回報； (ii) 個人主義 (IDV) 對市場回報產生積極和顯著的影響，亞洲國家個人主義的增加將導致更高的可持續股票回報； (iii) 亞洲地區投資者迴避不確定性 (UAI) 的增加將導致更高的股票回報； (iv) 長期導向 (LTO) 對市場回報產生了重大而積極的影響。 它表明，如果投資者對亞洲地區的可持續證券交易所有長期的定位，將導致股票收益增加。
在亞洲地區，可持續股票市場的普遍存在促使需要研究良好治理如何促進這種發展。 這就是研究二中所研究的內容。 良好治理對可持續股票市場回報的影響。 本研究使用 WGI 數據作為良好治理的指標，並採用固定效應模型 (FEM) 和隨機效應模型 (REM) 對 2015 年至 2020 年亞洲六個國家可持續股票市場回報的面板數據進行檢驗，以檢驗兩者之間的關係 變量。 此外，可行廣義最小二乘法 (FGLS) 回歸小組發現，政治穩定和沒有暴力 (PSA) 和監管質量 (REQ) 對亞洲地區的可持續投資回報產生積極影響，而另一方面，控制腐敗 (COC) 對可持續投資回報表現出顯著的負面影響。 這些發現表明，更出色的政治穩定性和合理的監管有助於提高股市回報。 相反，隨著 COC 指數的增長，與腐敗控制相矛盾會導致股市收益下降。
將注意力轉移到 VUCA（波動性、不確定性和歧義性）時代，研究三 考察了經濟政策不確定性、全球商品和比特幣價格與可持續股市回報之間的關係。 本研究使用來自 12 個具有可持續證券交易所的國家/地區的市場價格面板數據。 本研究通過使用面板自回歸分佈滯後 (ARDL) 檢驗長期協整和短期效應來調查 EPU 對股市回報的影響。 自回歸分佈滯後回歸的結果表明，EPU 在長期內具有負面且顯著的影響。 而黃金、石油和比特幣對可持續的股市回報具有積極而重大的影響。 然而，在短期內，比特幣和石油對可持續的市場回報具有積極而重大的影響。 這一實證發現表明，從長遠來看，各國經濟政策不確定性的上升將降低可持續的股票市場回報。
最後一項研究調查了近期 COVID-19 大流行、匯率和商品價格上漲對亞洲地區可持續股市回報的健康危機的影響。 為了分析數據，我們實施了面板自回歸分佈滯後 (ARDL)，它可以估計 COVID-19、匯率和大宗商品價格對亞洲可持續股市表現的短期和長期影響。 此外，採用具有固定效應和隨機效應的廣義矩量法 (GMM)，通過使用涵蓋最近大流行時期的 2020 年 3 月至 2022 年 4 月期間的每日數據來檢查結果的穩健性。 布倫特原油和黃金的每日價格也作為本研究的控制變量。 結果發現，從長遠來看，COVID-19、匯率和布倫特油價對亞洲可持續股市表現有積極影響。 而全球黃金價格對可持續股票市場的回報產生負面影響。 不過，在短期內，COVID-19對亞洲股市沒有顯著影響，但對八個亞洲國家的個人估計產生了不同的影響。 鑑於大流行期間不斷變化的股市動態，可持續投資將有利於投資者理解投資多元化的優勢以及保護策略。
所有這些結果都支持可持續股票市場受國家文化、良好治理、經濟政策不確定性、健康和商品等多維因素影響的觀點[[abstract]]Sustainable investment has quickly evolved during the last decades. This dissertation attempts to measure the determinants of sustainable investment using an econometric framework by examining the correlations of multidimensional factors and sustainable stock market performance in time varying. The investigation is comparative in nature, using varying frequencies of data, examining different time periods from 2015 to 2022 and employing a wide range of international data sources. The econometric analysis is augmented by institutional detail, where relevant and employs dynamic statistical technique. The novelty of this thesis lies on its sustainable stock market data, multidimensional variables and the statistical facts which emerge from the analysis. Study I investigate the cultural dimension of sustainable stock market returns in seven Asian countries. The four cultural dimensions used in this study are the power distance index (PDI), individualism (IDV), uncertainty avoidance index (UAI), and long-term orientation (LTO). Using panel data of monthly sustainable stock market returns from seven Asian countries for the period 2015-2019. This research employed the Ordinary Least Square (OLS) regression and Feasible Generalized Least Square (FGLS) regression with id and time fixed effect. The outcomes of our empirical investigation underlined the fact that: (i) an increase in power distance (PDI) would increase the market returns in the Asian region; (ii) individualism (IDV) had a positive and significant impact on the market returns, and the increase of individualism in the Asian countries would lead to the higher sustainable stock returns; (iii) increase in the uncertainty of avoidance (UAI) by investors in the Asian region would lead to the higher stock returns; (iv) the long term orientation (LTO) had a significant and positive impact on market returns. It showed that if the investor had a long-term orientation on the sustainable stock exchange in the Asian region, it would lead to increased stock returns.
In the Asian region, the prevalence of a sustainable stock market prompts the need to study on how good governance contributes to such development. This is what has been studied in Study II. the effect of good governance on sustainable stock market returns. This study uses the WGI data as proxied of good governance and employs The Fixed Effect Model (FEM) and Random Effect Model (REM) on the panel data from the sustainable stock market returns of six Asian countries from 2015 - 2020 to examine the relationship among variables. Further, the Feasible Generalized Least Squares (FGLS) Regression panel found that political stability and absence of violence (PSA) and regulatory quality (REQ) positively influence sustainable investment returns in the Asian region while on the other hand, control of corruption (COC) exhibits a significant negative impact on sustainable investment returns. These findings imply that more excellent political stability and reasonable regulations contribute to higher stock market returns. Conversely, contradictory with the Control of Corruption leads to downward stock market returns as the growth of the COC index increases.
Shifting attention to the VUCA (Volatility, Uncertainty and Ambiguity) era, Study III examines the relation of economic policy uncertainty, global commodities and Bitcoin prices on sustainable stock market returns. This study uses panel data of market prices from 12 countries with Sustainable Stock Exchanges. This study investigates the impact of EPU on stock market returns by using panel autoregressive distributed lag (ARDL) to examine the long-term cointegration and short-term effect. The results of the autoregressive distributed lag regression indicate that EPU has a negative and significant effect in the long term. While gold, oil and bitcoin have a positive and significant impact on the sustainable stock market returns. However, in the short term, bitcoin and oil have a positive and significant impact on sustainable market returns. This empirical finding indicates that the rise of economic policy uncertainty in each country in the long term will decrease the sustainable stock market returns.
The last study investigates the effect of the recent health crisis of COVID-19 pandemic, exchange rates and the rise in the prices of commodities on the sustainable stock market returns in Asian region. To analyze the data, we implement a panel autoregressive distributed lag (ARDL) which can estimate the short- and long-run effect of COVID-19, exchange rates, and commodities prices on Asian sustainable stock market performance. Further, the generalized method of moments (GMM) with fixed effect and the random effect was applied to check the robustness of the results by using daily data for the period March 2020 – April 2022, which covers the recent pandemic period. Daily prices of Brent Oil and Gold prices also used as control variables in this research. The results found that in the long term, COVID-19, exchange rate, and Brent oil price had a positive effect on Asian sustainable stock market performance. While global gold price had a negative impact on the returns of the sustainable stock market. However, in the short term, COVID-19 had no significant effect on the Asian stock market, but it had various effects on individual estimations of eight Asian countries. Sustainable investment would benefit investors in comprehending the advantages of investment diversification as well as protection strategies in light of changing stock market dynamics during the pandemic.
All these results offer support to the view of the sustainable stock market influenced by multidimensional factors such as nations’ culture, good governance, economic policy uncertainty, health and commodities
遊戲成癮風險的神經心理機制與其AI預測模型(1/3)
No full text[[abstract]](1) 提出遊戲成癮之神經心理機制與其AI預測模型，可作為學校端網路成癮預防之參考指標。 (2) 透過AI模型找出網路成癮於量性腦波或心率變異之特徵，可供臨床與醫學領域對遊戲成癮行為客觀檢查的指標。 (3) 可從神經生理與神經心理功能層面，提供校園端、臨床與醫療端對遊戲成癮之成因的了解，其認知缺損或與情緒調節困難交互作用議題之認識，並提出對學習成效影響的重要變項。 [[note]]科技部[[note]]2022-08-01～2023-07-3
重塑更具永續性的教育工作者：後疫情時期職涯永續性對教師工作重塑的影響：感知組織支持的調節作用
No full text[[abstract]]COVID-19重大危機事件所衍生與職涯或職涯永續的相關研究仍屬少數。本研究欲建構與驗證職涯永續性對教師工作重塑之影響，並探究感知組織支持的縱貫式調節作用，預期對教育工作者之職涯永續性建構一完整的實證模型架構；在研究方法上，應用交叉延宕長期追蹤模型分析衡量各層次變項間相互關係，其研究結果可以作為有關學前教育組織在教師專業發展與職涯永續性之實務應用參考。 [[note]]科技部[[note]]2022-08-01～2024-07-3
失去親友之精神健康與創傷後成長與其中介及調節因子研究：多年期世代追蹤調查與全國資料庫研究
No full text[[abstract]]本計畫藉由多方法研究設計將會是第一個針對失去親友提供確實與全面性的瞭解其生理與精神健康狀況之研究。除此之外，本研究預期探討失去親友可能的負向與正向影響，並找出可介入之正向人格與預測、中介與調節因子。其成果可作為台灣自殺預防與衛生福利等相關政策之重要參考並且增進國民健康。 [[note]]科技部[[note]]2022-08-01～2023-07-3
提升遊戲自制力、自尊及幸福感且降低遊戲成癮風險之自我調控Apps方案之發展及成效評估
No full text[[abstract]]遊戲成癮是國際疾病分類系統所定義的行為成癮，大學生是遊戲成癮高風險群; 本計畫透過遊戲成癮相關生理與神經心理學、行為改變之教育與臨床心理學、臨床醫學、資訊工程以及資訊教育等跨領域專家的合作(一)探討GA生理、神經與及心理社會機制；(二)開發三種遊戲自制力提升自我調控學習方案Apps，並評估其改善GA，提升自制力、自尊及幸福感之學習成效與其影響因素。(三) AI分析整體資料，建立GA心理社會機制最佳預測模式及個人化自我調控學習系統。預計發表12篇期刊和會議論文; 申請2項專利或技轉;三件教案，培訓2,000名學校教師、輔導老師及專業醫療人員; 提供教育部與各大專院校應用，可有百萬學生受益。 [[note]]科技部[[note]]2022-08-01～2024-07-3