Handbook of Dynamic Data Driven Applications Systems: Volume 3
暫譯: 動態數據驅動應用系統手冊：第三卷

Blasch, Erik, Darema, Frederica, Aved, Alex

Handbook of Dynamic Data Driven Applications Systems: Volume 3
  • 出版商: Springer
  • 出版日期: 2026-07-11
  • 售價: $9,150
  • 貴賓價: 9.5 折 $8,692
  • 語言: 英文
  • 頁數: 970
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031885732
  • ISBN-13: 9783031885730
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

商品描述

This handbook is an authoritative reference on the Dynamic Data Driven Applications Systems paradigm, pioneered by Dr. Darema, and contains DDDAS-based work conducted by contributing co-authors in numerous areas, to benefit science and technology researchers and practitioners developing DDDAS-based technologies.

Beginning with general concepts and history of the DDDAS paradigm in the introductory chapter, this Third Volume in the series contains 33 chapters contributed by leading experts and is organized in nine thematic areas, spanning natural, engineered, or societal systems to enable an accurate understanding, analysis, and control of corresponding complex systems. The thematic areas cover fundamental and foundational methods; materials, structural, and energy systems; healthcare and situation awareness systems; air and space, communications, and cyber systems.

The work presented shows how DDDAS unifies the computational and instrumentation aspects of an application system, extends computing notions to span from the high-end to the edge computing and real-time data acquisition and control, adaptively manages the operation of complex, distributed, multimodal systems through high-dimensional, systems-cognizant model-coordination and multi-objective optimization of resources and service delivery; supports methodologies for achieving autonomic and enhanced AI capabilities; DDDAS is foundational concept for Predictive Digital Twins and Dynamic Digital Twins.

The authorsexplain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination.

商品描述(中文翻譯)

這本手冊是關於動態數據驅動應用系統（Dynamic Data Driven Applications Systems，簡稱 DDDAS）範式的權威參考資料，由 Dr. Darema 開創，並包含多位共同作者在許多領域進行的基於 DDDAS 的工作，旨在惠及科學和技術研究人員及從業者，幫助他們開發基於 DDDAS 的技術。

本書的第一章介紹了 DDDAS 範式的一般概念和歷史，這本系列的第三卷包含了33章，由領先專家貢獻，並組織成九個主題領域，涵蓋自然、工程或社會系統，以便準確理解、分析和控制相應的複雜系統。這些主題領域包括基本和基礎方法；材料、結構和能源系統；醫療保健和情境感知系統；空氣和太空、通信及網絡系統。

所呈現的工作顯示 DDDAS 如何統一應用系統的計算和儀器方面，將計算概念擴展到從高端計算到邊緣計算及實時數據獲取和控制，通過高維度、系統認知的模型協調和多目標資源及服務交付優化，自適應地管理複雜、分佈式、多模態系統的運作；支持實現自動化和增強 AI 能力的方法論；DDDAS 是預測數位雙胞胎（Predictive Digital Twins）和動態數位雙胞胎（Dynamic Digital Twins）的基礎概念。

作者解釋了 DDDAS 如何統一應用系統的計算和儀器方面，將智慧計算的概念擴展到從高端到實時數據獲取和控制，並利用高維度模型協調來管理大數據的開發。

作者簡介

Erik P. Blasch, Ph.D./MBA, is a research engineer focused on information fusion performance evaluation, multi-modal image fusion, multi-domain avionics, space situational awareness, and human-machine integration He received his B.S. in Mechanical Engineering from the Massachusetts Institute of Technology and Ph.D. in Electrical Eng. from Wright State University in addition to numerous Master's Degrees in Mech. Eng., Ind. Eng., Health Science, Elect. Eng., Economics, Psychology, Medicine, and Military Studies. His affiliations include adjunct associate professor, President of professional societies, member of the International Society of Information Fusion (ISIF) Evaluation of Techniques for Uncertainty Representation Working Group (ETURWG), and member of the IEEE Avionics Systems Technical Panel. He has compiled 16 books, 68 patents, 182+ journal papers, and 500+ peer-reviewed publications. His contributions include: physics-based and human-derived information fusion (PHIF), the data fusion information group (DFIG) model, confusion-matrix data fusion, game-theoretic space situational awareness, evidential reasoning simultaneous tracking and identification (STID) filtering, and the multisource AI scorecard table (MAST). He is the recipient of 21 performance medals, 8 named awards, as well as Fellow of AIAA (astronautics), IEEE (electrical), MSS (sensing), RAeS (aerospace), and SPIE (optical) societies.

Frederica Darema, PhD, is the President and CEO of the InfoSymbiotic Systems Society. Retired (2019) as Senior Executive Service (SES) member and as Director of the Air Force Office of Scientific Research, in Arlington, Virginia, where she led the entire basic research S&T investments for the AF; also served in the Office of the Secretary of the Air Force, as Research Director in the Air Force's Chief Data Office, and as Associate Deputy Assistant Secretary in the Air Force Office for Science, Technology and Engineering.
Prior career history includes: Research Staff positions at the University of Pittsburgh, Brookhaven National Laboratory, and Schlumberger-Doll; management and executive-level positions at: T.J.Watson IBM Research Center and IBM Corporate Strategy Group; National Science Foundation and Defense Advanced Research Projects Agency; Director of the AFOSR Directorate for Information, Math, and Life Sciences.
Dr. Darema received her PhD (University of California at Davis) in Nuclear Physics, and as Fulbright Scholar and Distinguished Scholar. She is IEEE Life Fellow; WAAS Fellow (World Academy of Arts and Sciences), among other distinctions. Made seminal contributions in computational sciences and the supercomputing field (pioneered: the SPMD computational model; and the DDDAS paradigm). She serves on university Advisory Boards and governmental research review panels; and she is co-Editor of the DDDAS Handbooks and Conferences Proceedings.

Alex J. Aved, PhD, is a Senior Researcher with the Air Force Research Laboratory, Information Directorate, Rome, NY, USA. His research interests include multimedia databases, stream processing (via CPU, GPU, and emerging integrated circuit architectures), and dynamically executing models with feedback loops incorporating measurement and error data to improve the accuracy of the model. He has published over 100 papers and given numerous invited lectures. Previously, he was a programmer at the University of Central Florida and database administrator and programmer at Anderson University.

作者簡介(中文翻譯)

Erik P. Blasch, Ph.D./MBA 是一位研究工程師，專注於資訊融合性能評估、多模態影像融合、多領域航空電子學、太空情境感知以及人機整合。他在麻省理工學院獲得機械工程學士學位，並在萊特州立大學獲得電機工程博士學位，此外還擁有多個碩士學位，涵蓋機械工程、工業工程、健康科學、電機工程、經濟學、心理學、醫學和軍事研究。他的職位包括兼任副教授、專業學會會長、國際資訊融合學會（ISIF）不確定性表示技術評估工作組（ETURWG）成員，以及IEEE航空電子系統技術小組成員。他編纂了16本書籍，擁有68項專利，發表了182篇以上的期刊論文和500篇以上的同行評審出版物。他的貢獻包括：基於物理和人類衍生的資訊融合（PHIF）、數據融合資訊組（DFIG）模型、混淆矩陣數據融合、博弈論太空情境感知、證據推理同時追蹤與識別（STID）過濾，以及多源AI評分卡表（MAST）。他獲得了21枚性能獎章、8項命名獎項，並且是AIAA（航天）、IEEE（電氣）、MSS（感測）、RAeS（航空）和SPIE（光學）學會的會士。

Frederica Darema, PhD 是資訊共生系統學會的會長兼首席執行官。於2019年退休，曾擔任高級行政服務（SES）成員及美國空軍科學研究辦公室主任，負責整個空軍的基礎研究科技投資；此外，她還曾在空軍部長辦公室任職，擔任空軍首席數據辦公室的研究主任，以及空軍科學、技術與工程辦公室的副助理部長。
她的職業歷程包括：在匹茲堡大學、布魯克海文國家實驗室和施樂博-道爾的研究人員職位；在T.J. Watson IBM研究中心和IBM企業策略小組的管理及高層職位；國家科學基金會和國防高級研究計畫局；空軍科學研究辦公室資訊、數學和生命科學主任。
Darema博士在加州大學戴維斯分校獲得核物理博士學位，並曾獲得富布萊特學者和傑出學者的榮譽。她是IEEE終身會士；WAAS會士（世界藝術與科學學院），以及其他多項榮譽。在計算科學和超級計算領域做出了開創性貢獻（開創了：SPMD計算模型；以及DDDAS範式）。她在大學顧問委員會和政府研究審查小組任職；並且是DDDAS手冊和會議論文集的共同編輯。

Alex J. Aved, PhD 是美國紐約羅馬空軍研究實驗室資訊處的高級研究員。他的研究興趣包括多媒體數據庫、流處理（通過CPU、GPU和新興的集成電路架構）以及動態執行模型，並結合測量和誤差數據的反饋迴路以提高模型的準確性。他已發表超過100篇論文並進行了多次受邀演講。此前，他曾在中央佛羅里達大學擔任程式設計師，並在安德森大學擔任數據庫管理員和程式設計師。

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