CPS: Small: Collaborative Research: Foundations of Cyber-Physical Networks

CPS：小型：协作研究：网络物理网络的基础本研究的目的是调查医学应用背景下网络物理网络的基础、方法、算法和实现。本研究的方法是透过网路物理网路设计与建构的三个关键问题，来设计、实作与研究医疗照护网路Carenet：(1)网络物理数据流中的罕见事件检测和多维分析；(2)基于网络物理网络的可靠可信数据分析，包括对象整合和冗余消除的准确性分析、实体解析和信息集成以及网络和物理网络之间的反馈交互；(3)时空数据分析，包括时空聚类分析、序列模式挖掘和网络物理网络演化。智力优势：该项目关注大规模网络物理网络中最紧迫的几个问题，并开发了网络物理网络的基础、原理、方法和技术。它将加深我们对基础的理解，开发有效和可扩展的方法来挖掘此类网络，丰富我们对网络物理系统的理解，并使许多关键任务应用受益。该研究将丰富信息物理系统和信息网络挖掘的原理和技术。更广泛的影响：该项目将整合多个学科，包括网络化网络物理系统、数据挖掘和信息网络技术，并推进这些前沿领域。它将把原始数据转化为有用的知识，并促进具有重要战略意义的应用，包括对患者网络、作战网络和交通网络的分析。此外，该项目系统地产生新知识，并包含一个全面的教育和培训计划，以促进多样性，宣传和推广。

CPS: Small: Collaborative Research: Foundations of Cyber-Physical NetworksThe objective of this research is to investigate the foundations,methodologies, algorithms and implementations of cyberphysicalnetworks in the context of medical applications. The approach is todesign, implement and study Carenet, a medical care network, byinvestigating three critical issues in the design and constructionof cyberphysical networks: (1) rare event detection andmultidimensional analysis in cyberphysical data streams, (2)reliable and trusted data analysis with cyberphysical networks,including veracity analysis for object consolidation and redundancyelimination, entity resolution and information integration, andfeedback interaction between cyber- and physical- networks, and (3)spatiotemporal data analysis including spatiotemporal clusteranalysis, sequential pattern mining, and evolution of cyberphysicalnetworks.Intellectual merit: This project focuses on several most pressingissues in large-scale cyberphysical networks, and developsfoundations, principles, methods, and technologies of cyberphysicalnetworks. It will deepen our understanding of the foundations,develop effective and scalable methods for mining such networks,enrich our understanding of cyberphysical systems, and benefit manymission-critical applications. The study will enrich the principlesand technologies of both cyberphysical systems and informationnetwork mining.Broader impacts: The project will integrate multiple disciplines,including networked cyberphysical systems, data mining, andinformation network technology, and advance these frontiers. It willturn raw data into useful knowledge and facilitate strategicallyimportant applications, including the analysis of patient networks,combat networks, and traffic networks. Moreover, the projectsystematically generates new knowledge and contains a comprehensiveeducation and training plan to promote diversity, publicity, andoutreach.