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The real-time distributed computing environment and reusable software architecture are important factors that affect the fidelity of flight simulation. We accomplished a flight simulator based on DDS (Data Distribution Service for Real-time Systems) middleware and structural software architecture and proved its high fidelity as a flight training device. According to the analysis of flight simulator's functional blocks, we developed the real-time distributed computing environment which utilized DDS middleware through Ethernet and decreased the communication latency among functional blocks. Furthermore, we proposed the structural software architecture on the basis of layered and component-based design pattern to facilitate the higher simulation components' reuse and replacement. The real-time communication procedures among simulation components are also described in this paper. The validation method and the contrasting simulation results are presented finally to show the feasible design based on DDS to carry out flight simulation with low communication latency and high quality.

Due to the diversity and complexity of emotional bioinformation, most emotion recognition studies relied to ponderous medical grade electroencephalography (EEG) measuring devices. The emotion recognition scenarios were limited to hospitals or laboratories. It is hard to directly apply these research achievements into the emotion monitoring in daily-life. In this paper, a novel emotion recognition approach based on multimodal wearable biosensor network is investigated. In order to facilitate emotion monitoring in daily-life, a multimodal wearable biosensor network is constructed. The multimodal bio-signals are acquired by wearable biosensor measuring nodes, and then transmitted to sink node through wireless communication technologies. According to the fuzzy and rough characteristics of human emotions, the fuzzy rough nearest neighbors (FRNN) algorithm is introduced to classify different emotions. By considering the fuzzy thresholds of EEG concentration, a novel FRNN emotion recognition approach is proposed. The proposed method narrows the classification range of samples with significant concentration and reduces the disturbance of noisy samples, so that the high accuracy (65.6%) and fast speed were achieved in wearable scenario. Experiments verified the effectiveness of the proposed approach.

<p class="Abstract">Flight simulator is among the most sophisticated software systems in existence. It is highly distributed, has rigorous timing requirements, and must be amenable to frequent updates to maintain high fidelity with the ever-changing vehicle and environment it is simulating. Current flight simulation framework and software developing pattern are complicated to use and time consuming. We have accomplished a flight simulator prototype system based on a new distributed real-time simulation framework and non-flight-certified Commercial-off-the-shelf (COTS) solutions and have proved its fidelity and coordination characters as a flight training device. The distributed real-time simulation framework uses mediator design pattern as an information &ldquo;broker&rdquo; among flight simulation models of a sub-system which minimizes model interdependencies, improves the extendibility for the simulator and makes the maintenance easier. Meanwhile, the simulation models and executable code in the simulator were generated through COTS software and run on a PC cluster by which the difficulties of programming tasks are descend. The simulation modeling process and virtual prototype of the motion system are also expatiated. The validation methods and contrasting simulation results are presented finally to show the feasible design to carry out flight simulation with high quality.</p>