Is SA shared or distributed in team work? An exploratory study in an intelligence analysis task

This study compared two theoretical approaches to Situation Awareness (SA): the psychological school of thought and the systems ergonomics school of thought, by assessing measurement of team SA within these frameworks. Two teams were assigned and organised into either a traditional Hierarchy or a Peer-to-Peer organisational structure in a single case study design. Measures derived from the psychological and systems ergonomics perspectives were applied to assess their sensitivity for assessing team SA. No statistically significant differences were found between the two teams when measures originating in the psychological tradition were considered: differences were found, however, for measures originating in the systems ergonomics tradition. Literature concerned with team SA reveals a lack of consensus with regards to explaining the nature of the phenomenon as well as its measurement. This paper argues for a debate in the field to clarify what constitutes appropriate measurement techniques for team SA and suggests that these are taken from the systems ergonomics tradition, as suggested by the present studies findings.

Relevance to industry

Teams are a major feature of most industrial applications of work, and maintaining good situation awareness is important to successful performance. A method for examining the situation awareness of teams is proposed and compared with the individual models. Analysing the team as a functional unit of situation awareness is presented for future work.     

高校校园网络文化的研究

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基于改进粒子群算法的WSN覆盖优化策略

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神经网络补偿的特征模型控制方法

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一种基于数据并行的过程神经网络训练算法

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基于高可靠束路径的车载自组网路由规划算法

为提高车载自组网端到端路径存活期,提出一种基于高可靠束路径的路由规划算法LGGR。该算法通过分发网络连通性信息,使每个十字路口的节点可以感知与相邻十字路口节点的连通情况,通过计算十字路口的度、路径段存活期和自逾期确定最佳束路径,从而保证网络高连通性,延长路径存活期。仿真结果表明,LGGR的性能优于AODV、GPSR等算法。     

MANET中基于鲁棒度的IDS分簇方案

基于电池剩余能量、节点相对运动及节点安全性能,以最大稳定链路数为测度,提出节点鲁棒度的概念,引入节点鲁棒度评估数学模型,设计一种基于鲁棒度的移动自组网入侵检测系统分簇方案。该方案考虑自组网中入侵检测系统的实际需求,仅有效扩展原HELLO消息。与同类算法相比,该方案能形成更安全稳定的簇结构,具有更低的通信开销和更高的运行效率。     

无线传感器网络中缺失数据的估计

针对无线传感器网络中经常存在的感知数据缺失的问题,提出一个分布式算法SC,其中包括2种缺失数据估计的方法,即SRS和CNI。算法SC根据当前节点的子节点数对SRS和CNI进行动态选择。理论分析表明,SC不增加额外的通信能量消耗。模拟实验结果表明,SC对缺失数据的估计具有较好的准确性,对于不同的拓扑结构有较好的适应性。     

时变时滞随机非线性系统的自适应神经网络跟踪控制

针对一类具有时变时滞的不确定随机非线性严格反馈系统的自适应跟踪问题,利用Razumikhin引理和backstepping方法,提出一种新的自适应神经网络跟踪控制器.该控制器可保证闭环系统的所有误差变量皆四阶矩半全局一致最终有界,并且跟踪误差可以稳定在原点附近的邻域内.仿真例子表明所提出控制方案的有效性.     

A novel neural network ensemble architecture for time series forecasting

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