Automated Monitoring of the Naval Information Space (AMNIS)

海军信息空间 (AMNIS) 自动监控

• 批准号: 550722-2020
• 负责人: Matwin, Stan
• 金额: $ 20.4万
• 依托单位: Dalhousie University
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721257
• 关键词: Automated; Monitoring; Naval; Information; Space

Modern defence organizations around the world face new challenges related to information flow. They deal with massive information streams from on-board sensors, coalitionpartners, or remote sites. This information needs to be absorbed and interpreted in its current decision-making context of time, space, and provenance. Such contextualization is known as Situational Awareness. The proposed AMNIS (Automated Monitoring of the Naval Information Space) project is an alliance of the Institute for Big Data Analytics at Dalhousie University (IBDA), the Atlantic Research Centre of the Defence Research and Development Canada (DRDC), and the General Dynamics (Mission Systems-Canada) group. AMNIS will bring the state-of-the-art data integration, modeling and predictive models to the task of Situational Awareness. AMNIS will build on the results and collaborative links established in the recent (2016-2019) IBDA-DRDC-Lockheed Martin Canada project on Mission-Relevant Information Management for Integrated Response (MIMIR). In AMNIS, we will use Machine Learning to address select SA aspects and learn the persistent alarm definitions from the data, to model the concepts of trust, to account for and reproduce doubtful provenance (adversarial) data, and to represent data drift. We will also develop techniques for data exploration and data-centered collaboration using visual queries and advanced data visualization. AMNIS will support more than 30 person-years of High- Quality Personnel training in Data Science, Machine Learning, and Data Visualization and advanced HCI -areas in high demand in the Canadian industrial and government labs.

世界各地的现代防务组织面临着与信息流动有关的新挑战。它们处理来自机载传感器、联盟伙伴或远程站点的海量信息流。这些信息需要在其当前的决策环境中被吸收和解释，包括时间、空间和来源。这种情境化被称为情景意识。拟议的AMNIS(海军信息空间自动监测)项目是达尔豪西大学大数据分析研究所(IBDA)、加拿大国防研究和发展局(DRDC)大西洋研究中心和通用动力(加拿大任务系统)小组的联盟。阿姆尼斯将把最先进的数据集成、建模和预测模型应用到态势感知任务中。AMNIS将在最近(2016-2019年)IBDA-DRDC-Lockheed Martin加拿大特派团相关信息管理促进综合应对项目(MIMIR)中建立的成果和协作联系的基础上再接再厉。在AMNIS，我们将使用机器学习来解决选定的SA方面，并从数据中学习持久警报定义，对信任的概念进行建模，解释和复制可疑的来源(对抗性)数据，并表示数据漂移。我们还将开发使用可视化查询和高级数据可视化进行数据探索和以数据为中心的协作的技术。AMNIS将在数据科学、机器学习、数据可视化和高级人机界面等加拿大工业和政府实验室需求较高的领域支持30多人年的高质量人才培训。