飞行员情境认知的综合评判(英文)

目的通过对任务情境的研究,解决飞行员情境认知的综合评判问题。方法在借鉴环境科学中环境质量评价研究的基础上,建立飞行员情境认知的模糊综合评判模型。结果在理论研究和实验分析的基础上,初步揭示了飞行员情境认知状况。结论用模糊综合评判方法评价飞行员的情境认知可以提供真实、全面的飞行认知信息,为飞行员的训练有效性及安全性提供可靠依据。

Impact of gravitation on gaseous pollutant source identification

It is necessary to identify a gaseous pollutant source rapidly so that prompt actions can be taken, but this is one of the difficulties in the inverse problem areas. In this paper, an approach to identifying a sudden continuous emission pollutant source based on single sensor information is developed to locate a source in an enclosed space with a steady velocity field. Because the gravity has a very important influence on the gaseous pollutant transport and the source identification, its influence is analyzed theoretically and a conclusion is drawn that the velocity of fluid is a key factor to effectively help weaken the gravitational influence. Further studies for a given 2-D case by using the computational fluid dynamics （CFD） method show that when the velocity of inlet is less than one certain value, the influence of gravity on the pollutant transport is very significant, which will change the velocity field obviously. In order to quantitatively judge the practical applicability of identification approach, a synergy degree of the velocity fields before and after a source appearing is proposed as a condition for considering the influence of gravity. An experimental device simulating pollutant transmission was set up and some experiments were conducted to verify the practical application of the above studies in the actual gravitational environment. The results show that the proposed approach can successfully locate the sudden constant source when the experimental situations meet the identified conditions.

Mellin Transform-Based Correction Method for Linear Scale Inconsistency of Intrusion Events Identification in OFPS

为在光纤维警告前系统(OFPS ) 的侵入信号的线性规模是不一致的问题，这篇论文论述一个方法改正规模。第一，侵入信号被拦截，并且有相等的长度的片断的一个总数被获得。然后， Mellin 变换(MT ) 被使用把他们变换成一样的规模。光谱特征被 Fourier 变换获得。最后，我们采用识别侵入的神经网络打的背繁殖(BP ) ，它拿光谱是的特征输入。我们执行了地实验并且收集了包含拣的信号的光纤维侵入信号，铲信号，并且运用信号。试验性的结果证明建议算法罐头有效地改进侵入信号的识别精确性。

Thermal comfort assessment in civil aircraft cabins

Aircraft passengers are more and demanding in terms of thermal comfort. But it is not yet easy for aircraft crew to control the environment control system （ECS） that satisfies the thermal comfort for most passengers due to a number of causes. This paper adopts a corrected predicted mean vote （PMV） model and an adaptive model to assess the thermal comfort conditions for 31 investigated flights and draws the conclusion that there does exist an uncomfortable thermal phe- nomenon in civil aircraft cabins, especially in some short-haul continental flights. It is necessary to develop an easy way to predict the thermal sensation of passengers and to direct the crew to con- trol ECS. Due to the assessment consistency of the corrected PMV model and the adaptive model, the adaptive model of thermal neutrality temperature can be used as a method to predict the cabin optimal operative temperature. Because only the mean outdoor effective temperature ET＊ of a departure city is an input variable for the adaptive model, this method can be easily understood and implemented by the crew and can satisfy 80-90% of the thermal acceptability levels of passen- gers.

RVFL-Based Optical Fiber Intrusion Signal Recognition With Multi-Level Wavelet Decomposition as Feature

The optical fiber pre-waming system （OFPS） has been gradually considered as one of the important means for pipeline safety monitoring. Intrusion signal types are correctly identified which could reduce the cost of troubleshooting and maintenance of the pipeline. Most of the previous feature extraction methods in OFPS are usually quested from the view of time domain. However, in some cases, there is no distinguishing feature in the time domain. In the paper, firstly, the intrusion signal features of the running, digging, and pick mattock are extracted in the frequency domain by multi-level wavelet decomposition, that is, the intrusion signals are decomposed into five bands. Secondly, the average energy ratio of different frequency bands is obtained, which is considered as the feature of each intrusion type. Finally, the feature samples are sent into the random vector functional-link （RVFL） network for training to complete the classification and identification of the signals. Experimental results show that the algorithm can correctly distinguish the different intrusion signals and achieve higher recognition rate.

草莓对隔离环境中人的生理、心理及认知的影响（英文）

目的:探究草莓对隔离环境中人的生理、心理及认知的影响,为改善深空探测等隔离环境中乘员的情绪和认知提供新的可能措施。创新点:定量研究了草莓对隔离环境中人的生理、心理及认知的影响,并在研究中同时纳入了实验室短期模拟隔离实验和真实环境下的长期隔离实验。方法:在实验室实验中,通过测量心率、唾液皮质醇和心理量表等指标,并与草莓模型和静坐对比,研究观察草莓对情绪的影响;采用注意广度、短时记忆广度和选择反应时测试,进一步探究草莓对认知的影响。基于实验室实验的结果,在生物再生生命保障系统中进行长期隔离实验,进一步验证隔离环境中草莓对人情绪的正向调节作用。结论:本研究中,在实验室短期模拟隔离实验和真实环境下的长期隔离实验下,观察草莓15分钟可降低皮质醇水平,并减轻紧张和困惑等负面情绪。同时,15分钟的草莓观赏使隔离环境中人的选择反应时显著降低,反应力明显加快,有助于警觉性的提高。