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出版商:
Springer
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出版日期:
2026-07-03
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售價:
$2,130
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貴賓價:
9.5 折
$2,023
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語言:
英文
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頁數:
78
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裝訂:
Hardcover - also called cloth, retail trade, or trade
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ISBN:
3032221250
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ISBN-13:
9783032221254
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相關分類:
Data-visualization
商品描述
In the era of big data, process industries face the challenge of analyzing massive and complex data to extract information for effective process monitoring. This book introduces a novel paradigm called visual analytics. Visual analytics transforms chronological process data into visual formats to uncover patterns. This paradigm allows process experts to relate visual patterns to operational conditions and, consequently, support informed decision-making. The book explores three pathways within the visual analytics paradigm: (i) feature engineering, in which predefined mappings are used to convert time series data into visual representations; (ii) architecture engineering, which develops neural network architectures to directly learn visual representations; and (iii) data engineering, which employs contrastive learning to highlight differences and similarities in the data without relying on annotations.
商品描述(中文翻譯)
在大數據時代，流程產業面臨分析龐大且複雜數據的挑戰，以提取有效的流程監控資訊。本書介紹了一種名為視覺分析（visual analytics）的新範式。視覺分析將時間序列的流程數據轉換為視覺格式，以揭示模式。這一範式使流程專家能夠將視覺模式與操作條件相關聯，從而支持明智的決策。
本書探討了視覺分析範式中的三個途徑：（i）特徵工程（feature engineering），使用預定義的映射將時間序列數據轉換為視覺表示；（ii）架構工程（architecture engineering），開發神經網絡架構以直接學習視覺表示；以及（iii）數據工程（data engineering），利用對比學習（contrastive learning）來突出數據中的差異和相似性，而不依賴於註釋。
作者簡介
Ibrahim Yousef received his PhD in Chemical and Biological Engineering from the University of British Columbia, Canada. His research focuses on industrial process monitoring and fault detection, with an emphasis on data-driven and visual analytics approaches for time-series analysis. He holds a bachelor's degree in chemical engineering from the University of Abu Dhabi. His academic and research interests lie at the intersection of process systems engineering, data analytics, and machine learning for industrial applications. Dr. Sirish L. Shah, PhD, FCAE, FCIC, FIEEE is Emeritus Professor with the Department of Chemical and Materials Engineering at the University of Alberta, where he held the NSERC-Matrikon-Suncor-iCORE Senior Industrial Research Chair in Computer Process Control from 2000 to 2012. He was on faculty at the University of Alberta from 1978 to 2016. Shah has held visiting appointments at Oxford University and Balliol College as a SERC fellow, Kumamoto University (Japan) as a Senior Research Fellow of the Japan Society for the Promotion of Science, among other appointments. The main areas of Shah's current research are process and performance monitoring, system identification and design, analysis and rationalization of alarm systems. Results from Shah's research group have been translated into commercial software for process and performance monitoring and advanced alarm tools. He has consulted widely with the process industry and control software vendors. Dr. R. Bhushan Gopaluni leads research activities at the UBC DAIS Lab. He is a Professor in the Department of Chemical and Biological Engineering and Vice-Provost and Associate Vice-President, Faculty Planning in the Office of the Provost and Vice-President Academic, UBC Vancouver. From 2017 to 2022, he was the Associate Dean for Education and Professional Development in the UBC Faculty of Applied Science. He received a Ph.D. from the University of Alberta in 2003 and a Bachelor of Technology from the Indian Institute of Technology, Madras in 1997 both in the field of chemical engineering. He is one of the leading experts on data analytics for the processing industry and has authored over 110 refereed articles in reputed international Journals and conferences. His publications have been recognized through best paper awards and keynote presentations.
作者簡介(中文翻譯)
Ibrahim Yousef 於加拿大不列顛哥倫比亞大學獲得化學與生物工程博士學位。他的研究專注於工業過程監控和故障檢測，特別強調基於數據和視覺分析的方法來進行時間序列分析。他擁有阿布達比大學的化學工程學士學位。他的學術和研究興趣位於過程系統工程、數據分析和機器學習在工業應用中的交集。
Dr. Sirish L. Shah，博士，FCAE，FCIC，FIEEE，是阿爾伯塔大學化學與材料工程系的名譽教授，曾於2000年至2012年擔任NSERC-Matrikon-Suncor-iCORE計算過程控制高級工業研究主席。他於1978年至2016年在阿爾伯塔大學任教。Shah曾在牛津大學和巴利奧學院擔任SERC研究員，並在日本熊本大學擔任日本學術振興會的高級研究員等職位。
Shah目前的研究主要領域包括過程和性能監控、系統識別與設計、警報系統的分析與合理化。Shah的研究小組的成果已轉化為商業軟體，用於過程和性能監控及先進的警報工具。他在過程工業和控制軟體供應商方面有廣泛的顧問經驗。
Dr. R. Bhushan Gopaluni 主管UBC DAIS實驗室的研究活動。他是化學與生物工程系的教授，並擔任不列顛哥倫比亞大學（UBC）副教務長及副校長（教學規劃）職位。從2017年到2022年，他擔任UBC應用科學院的教育與專業發展副院長。他於2003年獲得阿爾伯塔大學的博士學位，並於1997年獲得印度理工學院馬德拉斯分校的技術學士學位，兩者均為化學工程領域。
他是處理工業數據分析的領先專家之一，已在知名國際期刊和會議上發表超過110篇經過審核的文章。他的出版物因最佳論文獎和主題演講而受到認可。
