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: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=701976
• 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, coalition partners, 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.

世界各地的现代国防组织面临与信息流有关的新挑战。他们处理来自板载传感器，联盟的大量信息流 合作伙伴或远程站点。这些信息需要在当前的决策时间，空间和出处的背景下被吸收和解释。这种上下文化被称为情境意识。拟议的AMNIS（对海军信息领域的自动监测）项目是达尔豪西大学（IBDA）的大数据分析研究所（IBDA），加拿大国防研究与发展研究中心（DRDC）和一般动力学（Mission Systems Systems-Canada）集团的联盟。 AMNIS将将最先进的数据集成，建模和预测模型带入情境意识的任务。 AMNIS将建立在最近（2016-2019）IBDA-DRDC-Lockheed Martin Martin Canada关于综合响应（MIMIR）的任务相关信息管理项目的结果和协作链接。在AMNIS中，我们将使用机器学习来解决某些SA方面，并从数据中学习持续的警报定义，以建模信任的概念，说明和重现可疑的出处（对抗性）数据并表示数据漂移。 我们还将使用视觉查询和高级数据可视化开发用于数据探索和以数据为中心的协作的技术。 AMNIS将在加拿大工业和政府实验室的高质量数据科学，机器学习和数据可视化以及高级HCI-AREAS方面的高质量人事培训中支持30多人的高质量人员培训。