舰船空气尾流场特性研究

舰船空气尾流场是舰载直升机在非航空型舰船上起降或者在这类舰船附近作业时的主要环境条件，是危及舰载直升机飞行安全的主要因素之一。现以机－舰动态干扰为研究目的。通过各种试验结果的相互比较，验证，综合分析了舰船空气尾流场特性。着重研究了尾流场中涡流区的及变化规律，下洗速度的大小、下洗范围及变化规律，为机－舰动态配合的试验提供了可靠的依据，另外，还结合飞行实践简要地分析了直升机进入尾流场后的反应。     

亚燃、超燃双重燃烧进气分流数值模拟研究

本文介绍了亚燃、超燃双重燃烧进气分流的物理数学模型以及应用Euler方程组求解分流流场的数值计算方法,最后给出了计算的初步结果.     

提高WP－11发动机起动高度的研究与实施

研究了ＷＰ－１１发动机点火高度从４０００米提高到８０００米的某些问题，详细讨论了点火高度的理论基础，并为ＷＰ－１１研制了一种可用的空中补氧点火装置，扩大了ＷＰ－１１发动机的使用范围。带着空中补氧点火装置的ＷＰ－１１发动机成功完成了高空舱试验和Ｙ－８飞机带飞实验。     

基于迭加趋势的航线季节客运需求分析方法

针对航线季节客运需求的特点,提出了基于迭加趋势的航线季节客运需求分析方法,其基本思想是:根据航线季节客运量历史数据,构建航线季节客运量趋势变动模型,通过OLS方法估计直线趋势方程参数,进一步考虑季节变化对客运需求的影响,建立航线季节客运需求分析模型。仿真结果表明该方法可行且结果具有较高的精度,可作为分析航线季节客运需求的有效工具。     

Dynamics of air transport networks: A review from a complex systems perspective

Air transport systems are highly dynamic at temporal scales from minutes to years. This dynamic behavior not only characterizes the evolution of the system but also affect the system's functioning. Understanding the evolutionary mechanisms is thus fundamental in order to better design optimal air transport networks that benefits companies, passengers and the environment. In this review, we briefly present and discuss the state-of-the-art on time-evolving air transport net-works. We distinguish the structural analysis of sequences of network snapshots, ideal for long-term network evolution (e.g. annual evolution), and temporal paths, preferred for short-term dynamics (e.g. hourly evolution). We emphasize that most previous research focused on the first modeling approach (i.e. long-term) whereas only a few studies look at high-resolution temporal paths. We conclude the review highlighting that much research remains to be done, both to apply already available methods and to develop new measures for temporal paths on air transport networks. In particular, we identify that the study of delays, network resilience and optimization of resources (aircraft and crew) are critical topics.     

基于COTS的某型大气数据计算机设计CSCD

大气数据计算机是无人机重要机载设备,为节省设计成本和时间,采用基于COTS的方法对大气数据计算机进行设计,给出了系统的硬件平台选型方案,以商用uc/os系统为底层操作系统,完成系统功能设计,并对设备的工作性能进行了验证,结果表明该方案合理可行,满足无人机设计使用要求。     

Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching approach for two-sided markets of Game theory, the Top Trading Cycle CDM (TTC-CDM) algorithm developed in this research is an extension of the CDM approach aggregating the Ground Delay Program (GDP) of the air sector. The paper compared the developed TTC-CDM model to the existing models such as the conventional Compression algorithm in CDM, the Trade Cycle algorithm and the Deferred Acceptance CDM (DA-CDM) model to evaluate the performance of the proposed model. Through a case study, the results show the effective application of TTC-CDM model to slot allocation in ATM and also presents the advantage of considering the preferences of airport managers beside ATC controllers and airlines in the decision processing.     

EBAA：An efficient broadcast authentication scheme for ADS-B communication based on IBS-MR

Automatic dependent surveillance-broadcast （ADS-B） systems can broadcast satellitebased aircraft position, identification, etc., periodically, and are now on track to replace radar to become the backbone of next-generation air traffic management （ATM） systems. However, ADS-B systems suffer severe cyber-security problems due to the broadcast-type data link and the lack of designed-in security measures. Especially, since ADS-B messages are unauthenticated, it is easy to insert fake aircraft into a system via spoofing or insertion of false messages. Unfortu- nately, the authentication for ADS-B messages has not yet been well studied. In this paper, based on identity-based signature with message recovery （IBS-MR）, an efficient broadcast authentication scheme for ADS-B messages is proposed. The security analysis demonstrates that the scheme can achieve authenticity and integrity of ADS-B broadcast messages, as well as adaptive evolution of broadcasters＇ private keys. The performance evaluation shows that the scheme is computationally efficient for typical avionics devices with limited resources. Furthermore, the scheme achieves low communication overhead since broadcast messages can be recovered from signatures, and thus it is suitable for low-bandwidth ADS-B data link.     

Plants + soil/wetland microbes: Food crop systems that also clean air and water

The limitations that will govern bioregenerative life support applications in space, especially volume and weight, make multi-purpose systems advantageous. This paper outlines two systems which utilize plants and associated microbial communities of root or growth medium to both produce food crops and clean air and water. Underlying these approaches are the large numbers and metabolic diversity of microbes associated with roots and found in either soil or other suitable growth media. Biogeochemical cycles have microbial links and the ability of microbes to metabolize virtually all trace gases, whether of technogenic or biogenic origin, has long been established. Wetland plants and the rootzone microbes of wetland soils/media also been extensively researched for their ability to purify wastewaters of a great number of potential water pollutants, from nutrients like N and P, to heavy metals and a range of complex industrial pollutants. There is a growing body of research on the ability of higher plants to purify air and water. Associated benefits of these approaches is that by utilizing natural ecological processes, the cleansing of air and water can be done with little or no energy inputs. Soil and rootzone microorganisms respond to changing pollutant types by an increase of the types of organisms with the capacity to use these compounds. Thus living systems have an adaptive capacity as long as the starting populations are sufficiently diverse. Tightly sealed environments, from office buildings to spacecraft, can have hundreds or even thousands of potential air pollutants, depending on the materials and equipment enclosed. Human waste products carry a plethora of microbes which are readily used in the process of converting its organic load to forms that can be utilized by green plants. Having endogenous means of responding to changing air and water quality conditions represents safety factors as these systems operate without the need for human intervention. We review this research and the ability of systems using these mechanisms to also produce food or other useful crops. Concerns about possible pathogens in soils and wastewater are discussed along with some methods to prevent contact, disease transmission and to pre-screen and decrease risks. The psychological benefits of having systems utilizing green plants are becoming more widely recognized. Some recent applications extending the benefits of plants and microbes to solve new environmental problems are presented. For space applications, we discuss the use of in situ space resources and ways of making these systems compact and light-weight.     

飞行流量管理系统的模糊综合评判

探讨了飞行流量管理系统评价的方法,给出了飞行流量管理系统评价的指标体系,针对评价对象的复杂性及其指标的模糊性,采用模糊数学的理论与技术,通过单因素模糊评价,给出了模糊综合评价模型,并进行了评估的示例。