Database ranking的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Data Science and Internet of Things: Research and Applications at the Intersection of DS and Iot

為了解決Database ranking的問題，作者 這樣論述：

Giancarlo Fortino (SM’12) is Full Professor of Computer Engineering at the Dept. of Informatics, Modeling, Electronics and Systems (DIMES) of the University of Calabria (Unical), Rende (CS), Italy. He has a Ph. D. degree and Laurea (MSc+BSc) degree in Computer Engineering from Unical. He is High-end

Foreign Expert of China (term 2015-2018), Adjunct and Guest Professor at the Wuhan University of Technology (China), High-end Expert of HUST (China), CAS PIFI Visiting Scientist at Shenzhen (2019-2021), Distinguished Professor of Huazhong Agricultural University (China) and Associated Senior Resear

ch Fellow at the Italian National Research Council - ICAR Institute. He has been also Visiting Researcher and Professor at the International Computer Science Institute (Berkeley, USA, 97-99) and at the Queensland University of Technology (Australia, 2009), respectively. He is in the list of Top Ital

ian Scientists (TIS) by VIA-academy and Guide2Research, with h-index=52 and 10000+ citations according to GS. According to the SciVal tool based on the Scopus database, in the last 5 years (2015-19), he is ranked N. 39 in the Computer Science field in the ranking of Top 500 authors, by Scholarly Out

put in the World, based on the FWCI index, is N. 1 in the Research Area ＂Hardware and Architecture＂ and N. 1 in the topic ＂Body Sensor Network; Smart Object; Interoperability＂. According to WoS, he has currently 12 highly cited papers and has been recently nominated Highly Cited Researcher 2020 by C

larivate. He is the director of the SPEME (Smart, Pervasive and Mobile Systems Engineering) Lab at DIMES, Unical and co-director of three joint-labs on Smart IoT technologies established with Wuhan University of Technology, Shanghai Maritime University, and Huazhong Agricultural University, respecti

vely. He is also the director of the postgraduate master in ＂INTER-IoT: Integrator of Internet of Things Systems＂ and the Rector’s delegate to international relations at Unical. His main research interests include Human-Machine Systems, Wearable Computing, Internet of Things computing and technology

, agent-based computing, body area networks, wireless sensor networks, pervasive and cloud computing, multimedia networks, and mobile health systems. He participated to many local, national and international research projects and was also the deputy coordinator and scientific & technical project man

ager of the EU-funded (8M) H2020 INTER-IoT project. He authored 450+ publications in journals (200+ in ISI-impacted journals), conferences and books. He chaired 100+ Int’l conferences/workshops (he is the general chair of the 1st edition of the 2020 IEEE Human-Machine Systems conference), organized

60+ special issues in well-known ISI-impacted Int’l Journals, and participated in the TPC of about 500 conferences. He is the founding editor in chief of the IEEE Book Series on ＂Human-Machine Systems＂ and of the Springer Book Series on ＂Internet of Things: Technology, Communications and Computing＂,

and currently serves (as associate editor) in the editorial board of IEEE Transactions on Human-Machine Systems, IEEE Transactions on Affective Computing, IEEE IoT Journal, IEEE Sensors Journal, IEEE SMC Magazine, IEEE Access, Information Fusion, Engineering Applications of Artificial Intelligence,

Journal of Networks and Computer Applications and others. He is the recipient of the 2014 Andrew P. Sage SMC Best Transactions Paper award. He is Distinguished Lecturer of the IEEE Sensors Council for the period 2021-2023. He is the Chair of the IEEE SMC Italian Chapter, Member-at-large of the IEEE

SMCS BoG, Member of the IEEE Press Board of Directors, and founding chair of the IEEE SMC Technical Committee on ＂Interactive and Wearable Computing and Devices＂. He is co-founder and CEO of SenSysCal S.r.l., a spin-off of Unical, developing innovative human-oriented IoT-based systems for e-health

and domotics. Antonio Liotta is Professor of Data Science and Intelligent Systems at Edinburgh Napier University, where he is coordinating multi-disciplinary programs in Data Science and Artificial Intelligent across the university. He has recently been awarded a prestigious fellowship in China, wh

ere he is the founding director of the Joint Intellisensing Lab and holds a Visiting Professorship at Shanghai Ocean University. Previously, he was Professor of Data Science and the founding director of the Data Science Research Centre, University of Derby, UK. He was leading all university-wide res

earch, educational, and infrastructure programs in data science and artificial intelligence. His team is at the forefront of influential research in data science and artificial intelligence, specifically in the context of smart cities, Internet of Things, and smart sensing. Antonio is a member of th

e U.K. Higher Education Academy, IEEE Senior Member, and serves the Peer Review College of the U.K. Engineering and Physical Sciences Research Council. He is the Editor-in-Chief of the Springer Internet of Things book series; associate editor of the Journals JNSM, IJNM, JMM, and IF; and editorial bo

ard member of 6 more journals. He has 6 patents and over 300 publications to his credit, and is the author of the book Networks for Pervasive Services: six ways to upgrade the Internet. He is renowned for his contributions to miniaturized machine learning, particularly in the context of the Internet

of Things. He has led the international team that has recently made a breakthrough in artificial neural networks, using network science to accelerate the training process. Raffaele Gravina received the PhD degree in computer engineering from the University of Calabria, Italy, in 2012. He is the mai

n designer of the SPINE Framework and responsible for the open-source contributions. He spent two years as researcher at the Telecom Italia WSN Lab at Berkeley, California. He is involved in several research projects on WSNs, including H2020 Inter-IoT, AD-PERSONAS, BodyCloud, MAPS and the REWSN Clus

ter of FP7 CONET. He is co-founder of SenSysCal S.r.l. and Talent Garden Cosenza S.r.l. He is IEEE member since 2016. He is author of more than 70 papers in international journals, conferences, and book chapters. He is currently serving as Assistant Professor in Computer Engineering at the Universit

y of Calabria, Italy. His research interests are focused on high-level programming methods for Wireless Body Sensor Networks and on the Internet-of-Things. Alessandro Longheu works as research fellow at the Department of Electrical, Electronics and Informatics Engineering (DIEEI, formerly known as D

IIT) at the University of Catania. He received his PhD in Electronics, Informatics and Telecommunications Engineering from the University of Palermo in 2001 and his MS in Informatics Engineering at the University of Catania in 1997. From 1997 to 2020 he was involved in more than 18 research activiti

es and projects (DSS-DROUGHT, OSIRID, SMIT, SMARTHEALTH) concerning information modeling and retrieval, workflow management, e-learning, trust and reputation, healthcare systems, complex networks, NLP and sentiment analysis, spreading models, online social networks. Since 2000 he has been an adjunct

professor of several Computer Science courses both at the University of Catania and at the University Kore of Enna. He has participated in many conferences including ETFA, TAKMA, SPEL, IDC, SITIS, Complenet, WSCE, Complex Networks, ISI&CDN 2018, DSIoT 2019. He has authored/co-authored more than 100

scientific papers in refereed Journals and Conferences.

Database ranking進入發燒排行的影片

台灣東北部海域廣東長吻鰩與尖棘甕鰩攝食生態研究

為了解決Database ranking的問題，作者呂泰君 這樣論述：

鰩類族群豐度高且分佈範圍廣，其營養位階幾乎涵蓋海洋食物鏈的中上層，透過食性研究最能深入了解鰩類在海洋生態系中與其他物種的相互關系。本研究針對宜蘭大溪漁港拖網漁船於龜山島海域附近捕獲之廣東長吻鰩（Dipturus kwangtungensis）及尖棘甕鰩（Okamejei acutispina）進行胃內容物分析。本研究自2018年4月至2019年10月間共採集到廣東長吻鰩361尾（雄魚177尾，雌魚184尾）及尖棘甕鰩135尾（雄魚66尾，雌魚69尾）。兩種鰩之餌料生物累積曲線隨樣本數的增加呈現平緩的趨勢，代表本研究樣本數足以描述其攝食生態。研究結果顯示廣東長吻鰩主要餌料為甲殼類，餌料生物重要

性指數百分比（%RI）以無法鑑定的蝦類（unidentified shrimp）為最高（%RI = 45.34），其次為對蝦總科（Penaeoidea）（%RI = 16.56）以及細螯蝦屬（Leptochela spp.）（%RI = 13.60%）。餌料生物多樣性隨個體體長增加而上升，但空胃率僅於季節間有差異，雄、雌魚攝食組成高度重疊，體長組別間以小型個體與中型個體重疊度為最高，而小型個體與大型個體為最低，顯示廣東長吻鰩會隨成長改變攝食對象。尖棘甕鰩餌料重要性指數以無法鑑定的硬骨魚佔比例最高（%RI = 42.52），其次為無法鑑定的蝦（%RI = 25.06）及對蝦總科（%RI = 20

.77）；餌料生物多樣性隨個體體長增加而上升，空胃率於性別間及季節間皆有差異。雄、雌魚攝食為高度重疊，體長組別間以中型個體與大型個體重疊度最高，顯示尖棘甕鰩亦會隨成長改變餌料生物。兩種鰩的攝食寬度經標準化後分別為0.03及0.05，皆為專一攝食物種；但由有效餌料生物數量（H'）計算顯示其棲地餌料生物種類多且豐度極高，兩種鰩應為隨餌料生物豐度及優勢程度改變攝食特性之種類。

7天學會大數據資料處理—NoSQL：MongoDB入門與活用(第二版)

為了解決Database ranking的問題，作者黃士嘉,吳佩儒 這樣論述：

　　快速具備MongoDB的基本使用技能 　　活用大數據資料處理的實用入門書！ 　　◎內容精簡、淺顯易懂，可7天快速學會MongoDB 　　◎搭配Robo 3T的圖形介面操作，一步步帶領你上手 　　◎透過實際範例，準確掌握精髓技巧 　　在大數據時代，NoSQL已經成為資料儲存的主流，而在NoSQL中最具影響力的資料庫，則以文件類型的MongoDB為第一，其在IT業界最為活躍。本書內容共分為7章，可以讓你在短時間內快速上手，了解如何將MongoDB實際應用在真實系統產品上。本書適合資料庫管理開發人員、資料探勘與分析人員以及各類應用大數據儲存的開發人員閱讀。  

基於網路化監控系統於發光二極體之功率控制及其數據化分析的時間序列設計模式

為了解決Database ranking的問題，作者蒲里亞 這樣論述：

發光二極體(LEDs)的技術品是有節能效益、照度優、效能優、長壽命優，而被認為是許多光源應用中最佳來源之照明。然而影響LEDs的最大問題所在就是其壽命週期，包括LEDs的光效能下降或突然失效，而不穩定的正向電壓、不足的限制電流和高溫會導致LEDs光衰退的發生。所以能夠即時監控LEDs參數物理變化，以及在特定條件之下控制LEDs的功率及是減少光衰退的方法之一。本論文研究是基於應用Web的網路便利性方式來構建時間序列之參數監控化系統和一個LEDs電源控制系統，以樹莓派(Raspberry Pi)和ESP32作為系統的主要設備。為了讓系統介面給使用者方便來應用，建構兩個用戶界面(UI)，以及參數數

據存取方式和方便管理時間序列之資料庫數據，作為測量物理變化和執行動作由ESP32和ESP8266處理，並將傳輸和執行設備鏈結到系統，而蒐集數據與存取並藉由無線網路鏈結傳遞到Raspberry Pi，以完成更好的移動性與遠程使用MQTT發布/訂閱消息連接協議。因有Web的網路應用程序於即時監測和控制，任何設備可透過Web網路瀏覽器查詢。監控UI使用TIG (Telegraf, InfluxDB, and Grafana)堆疊技術，這是一個平臺的字體縮寫，對時間序列之參數與資料庫數據進行擷取、儲存、繪圖和警示。另外對電源控制UI是基於Web網路之應用方式來做使用HTML語言與Javascript構

建之程式，透過改變LEDs功率進行測試與實驗調整。實驗發現LEDs的驅動器能夠對LEDs使用者提供從0 V到22 V的電壓範圍設定和0 mA 到2,000 mA的電流範圍設定。