Military Applications of Data Analytics

Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations--either government or industry--accessible use cases are not always available. This book presents a diverse collection of cases that explore the realm of possibilities in military data analytics. These use cases explore such topics as:

• Context for maritime situation awareness
• Data analytics for electric power and energy applications
• Environmental data analytics in military operations
• Data analytics and training effectiveness evaluation
• Harnessing single board computers for military data analytics
• Analytics for military training in virtual reality environments

A chapter on using single board computers explores their application in a variety of domains, including wireless sensor networks, unmanned vehicles, and cluster computing. The investigation into a process for extracting and codifying expert knowledge provides a practical and useful model for soldiers that can support diagnostics, decision making, analysis of alternatives, and myriad other analytical processes. Data analytics is seen as having a role in military learning, and a chapter in the book describes the ongoing work with the United States Army Research Laboratory to apply data analytics techniques to the design of courses, evaluation of individual and group performances, and the ability to tailor the learning experience to achieve optimal learning outcomes in a minimum amount of time. Another chapter discusses how virtual reality and analytics are transforming training of military personnel. Virtual reality and analytics are also transforming monitoring, decision making, readiness, and operations.

Military Applications of Data Analytics brings together a collection of technical and application-oriented use cases. It enables decision makers and technologists to make connections between data analytics and such fields as virtual reality and cognitive science that are driving military organizations around the world forward.

世界各地的軍事組織通常是大量生產和消耗數據的機構。因此，他們可以從數據分析所帶來的許多好處中受益。然而，對於國防組織（無論是政府還是工業界）的領導者來說，可供參考的使用案例並不總是容易獲得的。本書提供了一系列多樣化的案例，探索了軍事數據分析的可能性。這些使用案例涵蓋以下主題：

- 海上情況感知的背景
- 電力和能源應用的數據分析
- 軍事行動中的環境數據分析
- 數據分析和培訓效果評估
- 利用單板計算機進行軍事數據分析
- 虛擬現實環境中的軍事培訓分析

書中的一章介紹了單板計算機的應用，包括無線感測網絡、無人載具和集群計算等領域。對提取和編碼專家知識的過程的研究提供了一個實用且有用的模型，可以支持士兵的診斷、決策、替代方案分析和其他各種分析過程。數據分析被認為在軍事學習中發揮著作用，書中的一章描述了與美國陸軍研究實驗室的合作，應用數據分析技術設計課程、評估個人和團體表現，以及能夠根據最短時間實現最佳學習效果的能力。另一章討論了虛擬現實和數據分析如何改變軍事人員的培訓。虛擬現實和數據分析也正在改變監測、決策、準備和行動。

《軍事數據分析的應用》匯集了一系列技術和應用導向的使用案例。它使決策者和技術人員能夠將數據分析與推動世界各地軍事組織發展的虛擬現實和認知科學等領域建立聯繫。

Kevin Huggins, PhD, is professor of Computer Science and Data Analytics at Harrisburg University of Science and Technology, Harrisburg, Pennsylvania. He is also a retired military officer who spent the early part of his career in military intelligence, with extensive experience in Latin America. The remainder of his career was spent in academia, primarily as a faculty member in the Department of Electrical Engineering and Computer Science at the U.S. Military Academy. While there, Dr. Huggins served as the director of Research in Network Science as well as the director of the Information Technology Program. Additionally, Dr. Huggins was a visiting scientist at the École de Techniques Avancées in Paris, France, where he studied parallel algorithms for multiprocessor system-on-chip (MPSoC) architectures. His current research interest lies at the intersection of data science and information security, exploring novel ways of securing computing systems by leveraging the enormous amounts of available data. He holds a PhD in computer science from Mines Paris Tech.

Kevin Huggins博士是賓夕法尼亞州哈里斯堡科學與技術大學的計算機科學和數據分析教授。他也是一位退伍軍官，早年在軍事情報部門工作，並在拉丁美洲擁有豐富的經驗。他的職業生涯的其餘部分在學術界度過，主要是作為美國軍事學院電機工程和計算機科學系的教職員。在那裡，Huggins博士擔任網絡科學研究的主任以及信息技術計劃的主任。此外，Huggins博士還曾在法國巴黎的École de Techniques Avancées擔任訪問科學家，研究多處理器系統芯片（MPSoC）架構的並行算法。他目前的研究興趣集中在數據科學和信息安全的交叉領域，探索利用大量可用數據來保護計算系統的新方法。他擁有Mines Paris Tech的計算機科學博士學位。