战场网络情报侦察研究

战场网络情报侦察作为网络战的重要组成部分，成为新兴的研究领域。文章对战场网络情报进行了分类，总结了战场网络情报侦察的工作流程，并分析了战场网络情报侦察特点。     

分布式作战体系的自同步作战

在建立信息化战场体系对抗概念与含义的基础上,阐述信息化战场体系对抗需要变革传统指挥方式的意义,设想一种以机制替代传统指挥系统与机构职能的指挥样式-自同步作战,实现分布式战场空间的"无缝"协同.对这一新的作战样式,阐述运作的基础与条件、运作机理、作战原则以及实施自同步作战的关键与难点.     

基于贝叶斯网络的声呐系统战场损伤评估及修复模型

为了解决战场环境下的声呐系统损伤评估及修复（SSBDAR）问题,本文研究了战场损伤评估及修复模型。针对舰艇声呐系统战场损伤评估的因果推理特性,建立了基于贝叶斯网络的战场损伤评估模型,提出了基于贝叶斯网络的评估流程,给出了基于贝叶斯网络的评估决断算法。该模型利用贝叶斯网络对各评估修复节点进行分析,能够解决损伤信息不确定性,而且充分利用舰艇声呐系统各节点的损伤信息,提高了模型评估及修复效率,是解决舰艇声呐系统战场损伤评估及修复问题的一个有效途径。     

基于Bayesian的舰船战场损伤评估模型研究

针对舰船战场损伤评估的多元信息特点,建立了在观测操作条件下的舰船战场损伤评估的贝叶斯网络推理算法.分析了舰船战场损伤过程的不确定性,在所建立的贝叶斯网络模型的基础上,提出运用删减法来降低网络的复杂性.实例表明了该算法的适用性、有效性和可操作性.     

一种用于铁路安全的无线自组网协议

文章提出了一种用于铁路运输安全的无线传感器网络协议,并给出了协议的拓扑结构、帧格式以及网络的自组织过程,实现了一种低功耗的传感器网络。通过该协议将列车车门状态数据实时汇集到押运人员手中,实现押运过程的监控与报警。     

大型无人艇平台无线局域物联技术应用需求分析

大型无人艇搭载能力强,功能载荷实现模块化和高度智能化,具有广阔的应用前景。由于艇端无人运维,基于高任务的可靠性和高自主性要求,艇端内部状态感知、安全保护、监测控制和健康管理等系统的功能范畴急剧扩大和系统网络的规模急剧攀升,进而产生搭载装备的适装性、可维性和可扩展性等问题。论文针对工业无线局域物联等先进技术应用成果,从必要性、技术需求、应用途径及思路等角度,对其中的工业物联、无线通讯、自组织网络、无线传感等相关技术的应用开展深入论证分析,为后续大型无人艇平台系统相关技术的研究提供了规划指引和有益参考。     

一种基于硬盘保护卡的网络差异拷贝方法

硬盘保护卡在大规模计算机场所得到了广泛应用,针对传统保护卡网络拷贝方法数据量大、拷贝速度低的问题,文章提出并实现了一种网络差异拷贝的方法,有效降低了网络的负载,将接收端与发射端计算机硬盘上的数据实现完美统一。     

基于物元贝叶斯网络的舰船战损评估模型研究

分析了舰船战场损伤评估过程,从而得到舰船战场损伤评估的基本流程。分析了过去关于舰船战场损伤评估研究的缺陷和不足。在物元理论和贝叶斯网络理论分析的基础上,建立了节点物元模型和物元贝叶斯网络模型,进而提出了物元贝叶斯网络理论。根据舰船战场损伤评估的特点,分析了建立舰船战场损伤评估模型的步骤及相关工作,并以某舰艇操船系统为例,建立了操船系统损伤评估的物元贝叶斯网络模型。应用示例表明了所提理论的可行性、适用性和可操性。     

海上超短波环境的无线自组织网路由协议研究

该文对基于UHF的海上移动自组织网络（Marine MANET）展开研究,以QualNet为仿真工具,综合比较了DSR、OLSR、AODV等多种路由协议在该网络环境下的性能。该文研究成果可为构建海上无线自组织网络提供参考。     

海战场资源属性数据库的建立

分布式海战场资源管理是实现海上联合作战的关键,战场资源属性数据库又是战场资源管理的基础.首先分析了海战场资源的分类,建立了战场资源结构图,确定了战场资源属性数据库的数据结构,并详细分析了数据库的建立过程.所提出的海战场资源属性数据库的数据结构,充分考虑了各种资源的属性、状态及分配使用情况,并与作战任务相结合,为战场资源的管理和使用奠定了良好基础.     

用于无线监控的ZigBee多跳网络时延分析

为证明多跳自组的ZigBee网络在船舶自动化监控中的应用价值,以及这种分析方法在无线监控应用方面的可行性和通用性,建立一个实际的多跳无线网络,测量其无线数据包的各跳时延,在满足工控实时应用的条件下,进行无线网络实时测量性能的仿真和优化.结果表明,应用于无线监控的ZigBee网络具有30跳以内网络深度的扩展能力,并且在降...     

基于模糊RBF神经网络的辐射源识别

针对模糊识别系统的不足,为了提高辐射源识别系统的识别正确率,构建了基于模糊RBF神经网络的辐射源识别系统,提出了一种等价型模糊RBF神经网络的结构和学习算法,采用五层神经网络结构来实现模糊系统的模糊化和规则推理,神经网络的所有节点和参数对应了模糊系统的隶属函数和推理过程.在仿真实验中,分别采用模糊识别系统、并联型模糊RBF神经网络、结构等价型模糊RBF神经网络进行辐射源识别,给出了三种算法在相同噪声环境下的仿真结果,表明等价型模糊RBF效神经网络有较高的正确识别率,具有更强的抗干扰能力,但运算量相对较大.     

Hydrodynamic inline force prediction on vertical cylinders: a comparative study of neural network and its adaptive wavelets (wavenets)

The design of the neural network model and its adaptive wavelets (wavelet networks and wavenets) was used to estimate the wave-induced hydrodynamic inline force acting on a vertical cylinder. The data used to calibrate and validate the models were obtained from an experiment. In the brain, wavelet neural networks (WNNs) use wavelets to activate their hidden layers of neurons. In WNNs, both the position and dilation of the wavelets are optimized along with the weights. In one special approach to this kind of network construction, the position and dilation of the wavelets are fixed and only the weights of the network are optimized. In the present study, the neural network procedure and the above mentioned approach were employed to design a WNN, a so-called wavenet, using feed-forward neural network topology and its training method. Then, a comparison of these two methods was made. Numerical results demonstrate that both networks are capable of predicting hydrodynamic inline force. Furthermore, the combination of the neural network concept and the wavelet theory i.e. wavenet provides a more robust tool rather than standard feed-forward neural network, considering its more appropriate ability to predict any other data which the network had not experienced before. The results of this study can contribute to reducing the errors in future efforts to predict hydrodynamic inline force using WNNs, and thus improve the reliability of that prediction in comparison to the ANN and other methods. Therefore, this method can be applied to relevant engineering projects with satisfactory results.     

舰船直流电网绝缘状态监测装置设计

舰船直流网络绝缘状态监测装置是保障舰船直流电力系统安全,实时掌握直流供电系统网络绝缘状态的所必须的设备。以往对直流网络绝缘监测的主要采用人工方式进行测量,人员劳动强度大,测量过程繁杂,不能及时掌握绝缘状态信息,察觉系统隐患。因此本文完成了直流网络绝缘监测系统的设计,通过三电压法和附加电源法完成不同直流网络绝缘电阻的测量．并实现故障支路的定位,最后确定了装置数据采集系统和通信系统的实现方案。     

The application of modeling and prediction with MRA wavelet network

As there are lots of non-linear systems in the real engineering, it is very important to do more researches on the modeling and prediction of non-llnear systems. Based on the muhi-resolution analysis (MRA) of wavelet theory, this paper combined the wavelet theory with neural network and established a MRA wavelet network with the scaling function and wavelet function as its neurons. From the analysis in the frequency domain, the results indicated that MRA wavelet network was better than other wavelet networks in the ability of approaching to the signals. An essential research was carried out on modeling and prediction with MRA wavelet network in the non-linear system. Using the lengthwise sway data received from the experiment of ship model, a model of offline prediction was estab lished and was applied to the short-time prediction of ship motion. The simulation results indicated that the forecasting model improved the prediction precision effectively, lengthened the forecasting time and had a better prediction results than that of AR linear model. The research indicates that it is feasible to use the MRA wavelet network in the short -time prediction of ship motion.     

一种多协议模拟器的设计与实现

目前,很多网络工具在遇到新的网络协议出现的时候,很难将新的协议快速集成到现有的网络工具中,从而给用户造成很多使用上的不方便。本文设计的一种网络协议模拟器PRT-GET可以很好的解决上述问题,PRT-GET按照自定义的协议工作说明书工作,它可以方便的把新协议加入到PRT-GET中,从而方便用户使用新的网络协议来完成通信工作。     

改进的BP神经网络在路基沉降预测中的应用

针对传统BP神经网络存在的缺点,提出基于遗传优化的变梯度反向传播的BP神经网络预测方法,采用遗传算法优化BP神经网络的初始权重,建立路基沉降预测模型。该模型可克服BP神经网络模型存在的收敛速度慢、易陷入局部极小点等缺点。结合现场实测数据,将该优化模型与指数曲线模型、双曲线模型、灰色预测模型和传统BP神经网络预测模型对比,结果表明改进的BP神经网络在路基沉降预测中精度最高,适宜于广泛推广应用。     

The Importance of Brokers in Collaborative Marine Ecosystem-Based Management of Social Ecological Systems

Abstract

Practitioners play a critical yet largely unexamined role in translating collaborative, ecosystem-based management (EBM) for social-ecological systems from theory to practice. We paired mental models and social network analytical methods and applied them to two cases of marine EBM in Rhode Island and New York, focusing on practitioners themselves, to understand the relationship between practitioners’ mental models of marine ecosystems and the extent and nature of collaboration within each network. Mental models analysis was used to assess the comprehensiveness and balance of practitioners’ mental models, and social network analysis was used to assess the role and influence of practitioners within each network. A comparative statistical analysis was then performed to understand the relationship between mental models and network measures. Research revealed a statistically significant correlation between practitioners’ mental model comprehensiveness and practitioners’ influence within the network. In other words, practitioners with comprehensive mental models of the ecosystem for which they were planning were found to act as “brokers,” connecting those who were not otherwise connected, bridging jurisdictions, sectors, and disciplines. Results underscore the importance of brokers in achieving the collaborative and integrated goals of EBM and suggest the need for greater attention to practitioners’ role in EBM implementation.     

An analysis of decision-making processes in multicultural maritime scenarios

This paper presents a simple formulation in the form of a pipe network for modelling the global container-shipping network. The cost-efficiency and movement-patterns of the current container-shipping network have been investigated using heuristic methods. The model is able to reproduce the overall incomes, costs, and container movement patterns for the industry as well as for the individual shipping lines and ports. It was found that the cost of repositioning empties is 27% of the total world fleet running cost and that overcapacity continues to be a problem. The model is computationally efficient. Implemented in the Java language, it takes one minute to run a full-scale network on a Pentium IV computer.     

On cost-efficiency of the global container shipping network

This paper presents a simple formulation in the form of a pipe network for modelling the global container-shipping network. The cost-efficiency and movement-patterns of the current container-shipping network have been investigated using heuristic methods. The model is able to reproduce the overall incomes, costs, and container movement patterns for the industry as well as for the individual shipping lines and ports. It was found that the cost of repositioning empties is 27% of the total world fleet running cost and that overcapacity continues to be a problem. The model is computationally efficient. Implemented in the Java language, it takes one minute to run a full-scale network on a Pentium IV computer.