| 綜合性 | |
|---|---|
| 1 |
內容包含人文社會、文學小說、語言學習、財經商管、科學科普、電腦資訊、醫藥養生、藝術設計、休閒生活、考試證照各領域電子書，特別推薦語言學習有聲書。 |
| 2 |
iRead eBooks 華藝電子書 airitiBooks 使用說明 內容包含商管財經、休閒旅遊、文學小說、語言學習，以及考試用書、教科書、學術專業圖書。 |
| 3 |
以大學及專業出版社所出版的圖書為主，內容包含：研究型教科書、學術專著、美術及醫學等專題論述、中小學讀本等。語種多元，包含了繁簡中文、英文等語種出版品。 McGraw-Hill 專區 |
| 4 |
與國內各出版社與作家合作的電子書，重新編排製作、互動設計，提供聯經、天下文化、大石國際文化(國家地理雜誌)、經濟日報、寶瓶文化、時報文化、讀書共和國等多家出版社的優質學術書籍。 |
| 電資領域 | |
|---|---|
| 1 |
IGI InfoScience Computer Science & Information Technology User Guide IGI Global是專門出版電腦科學和資訊科技管理高品質研究的國際出版社，包含11個領域、350多個主題，為最新、最即時的研究。 |
| 2 |
IOS Press為成立於1990年的STM(Scientific、Technical and Medical )國際專業出版社，主題包含計算機科學、數學、醫學和自然科學；全文以PDF直接閱讀，提供主題、書名瀏覽及檢索功能。 |
| 3 |
為iGroup開發的線上電子書平台，與超過100家世界知名出版機構合作、出版其數位內容。本校購買以下工科領域出版社之電子書： Momentum Press Society for Industrial and Applied Mathematics (SIAM) |
| 4 |
World Scientific世界科技出版社為重要的科學主題出版社，許多出版的書籍為世界知名大學史丹佛、東大、劍橋、麻省理工等使用教科書，其作者編輯網羅諾貝爾獎得主與各領域知名專業學者。 |
| 綜合性 | |
|---|---|
| 1 |
Cambridge Core (原Cambridge Books Online (CBO) 電子書) 收錄劍橋大學出版社之電子書，主題相當廣泛，包含醫學類、人文類、社會科學類、自然科學類等。 |
| 2 |
eBooks on EBSCOhost (原名:NetLibrary電子書) User Guide 為英文綜合學科之電子書，可直接線上閱讀、或下載至載具離線閱讀 (支援多載具)。 |
| 3 |
Elsevier eBooks on ScienceDirect 為Elsevier出版社經營的電子資源平台，涵蓋生化、遺傳學和分子生物學、化學、臨床醫學、工程學和獸醫學等學科。 |
| 4 |
ProQuest Ebook Central MyiLibrary電子書 User Guide MyiLibrary於2018年併為ProQuest Ebook Central平台，涵蓋綜合類十大主題，提供多種欄位檢索及主題瀏覽，提供線上閱讀及整本或特定章節下載。 |
| 5 |
SpringerLink 施普林格電子書 館藏查詢 全球最大的學術出版社，提供Springer出版社之電子書與電子叢書。 |
| 6 |
Taylor & Francis 電子書 Computer Science 收錄Taylor & Francis、Routledge、Psychology Press、CRC Press等多家出版社的學術專業參考書。 |
| 7 |
為國際知名專業出版機構John Wiley & Sons所出版之電子書平台，內容涵蓋商業、化學、電腦科學、地球與環境科學、教育、工程、法律、生命科學、數學與統計、醫學與公共衛生、物理與天文、聚合物與材料科學、心理學等領域。 |
Cases on Green Energy and Sustainable Development by
Despite the urgent need for action, there is a widespread lack of understanding of the benefits of using green energy sources for not only reducing carbon emissions and climate change, but also for growing a sustainable economy and society. Future citizens of the world face increasing sustainability issues and need to be better prepared for energy transformation and sustainable future economic development. Cases on Green Energy and Sustainable Development is a critical research book that focuses on the important role renewable energy and energy efficiency play in energy transition and sustainable development and covers economic and promotion policies of major renewable energy and energy-efficiency technologies. Highlighting a wide range of topics such as economics, energy storage, and transportation technologies, this book is ideal for environmentalists, academicians, researchers, engineers, policymakers, and students.
Fuzzy Systems and Data Mining IV by
Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries.This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% .Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.
Machine Learning for Solar Array Monitoring, Optimization, and Control by
The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.
Data Science for Cyber-Security by
Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.
