雷达辐射源信号识别研究综述

介绍雷达辐射源信号识别的过程,概述和分析国内外雷达辐射源识别研究的现状,阐述基于粗糙集理论的雷达辐射源信号识别方法,指出雷达辐射源信号识别的发展趋势,为今后相关研究提供了有益的思路。     

汽车驾驶人的可靠性分析

交通运输系统是具有关键性人为差错的冗余系统,通过引入人为差错概念,对时间连续工作驾驶人的可靠性进行分析．用经典的可靠度函数方法或马尔可夫方法建立了同样的驾驶人可靠性数学模型,同时提出了驾驶应力（忧虑）的新概念,指出它是影响驾驶工作工效和可靠性的重要因素。     

机制砂的浅析与质量控制

结合湖北石漫高速公路因天然砂料源紧张而在工程施工中采用机制砂的情况作了一些分析,介绍了机制砂的特性与质量要求,比较了机制砂混凝土与天然砂混凝土不同的性能,阐述了机制砂在生产及使用过程中应注意的问题。     

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

Foldable container in empty container repositioning in intermodal transportation network of Belt and Road Initiative: strengths and limitations

In 2013, the concept of the ‘Silk Road Economic Belt and the 21st-Century Maritime Silk Road (Belt and Road)’ was initiated by the Chinese government, which involves Asian, European and African continents and their adjacent seas. Logistics plays a core role in such a large framework of economy and trade. In recent years, China, European Union, and Southeast Asia pay much attention to the design and development of the intermodal transportation network towards both economic and environmental efficiency. In this paper, we propose an empty container repositioning model in the intermodal transportation network of Belt and Road (B&R) Initiative by considering both standard and foldable containers. In this model, empty containers are repositioned from the inland of the original area, such as China, to other areas of B&R Initiative related countries and regions, such as European Union and Southeast Asia. We develop a mixed integer linear programming model to determine the optimal repositioning of empty containers via the intermodal transportation network. An Artificial Bee Colony algorithm is developed to solve large size problems in practice and numerical experiments are conducted to show the efficiency of our proposed algorithm. We provide managerial insights regarding the impact on the network performance of foldable containers transportation.     

基于BP人工神经网络的滑坡预测分析

文章以汶川地震引发的滑坡为研究对象,以震中距、地震烈度、坡度、前缘高程、坡高和岩性等影响坡体稳定性的因素为切入点,利用BP人工神经网络对实际坡体的稳定性进行了预测分析。结果表明,BP人工神经网络方法能有效预测坡体的稳定情况。     

Artificial forces for virtual autonomous ships with encountering situations in restricted waters

ABSTRACT

Even if the same two ships operate in the same encountering situation, the actual strategies and timing of operations may be different. Therefore, the fixed collision avoidance trajectory and ship movements are no longer suitable for simulating the real ship behaviour. This paper tries to develop an artificial intelligent system that fully sensitive to the local circumstances and command a ship in virtual environment. Based on AIS (Automatic Identification System) data, this study has developed artificial forces which help decision makings on-board independently under different situations and catching the stochastic nature of ship behaviours during collision avoidances manoeuvring. Actual ship tracks are helpful for ascertaining the parameters that contribute to artificial forces in collision avoidances, while the correlation coefficient analysis is helpful to distinguish the parameters. This study will help to develop a navigation traffic simulation to reflect the realistic ship behaviour and provide reliable information for port and waterway planning, risk analysis, and mitigation measures. The method can be used in developing algorithms for autonomous ships. The method introduced in this study lays a foundation for developing artificial forces at intersections or bends, although the model is only applicable in straight channels at the moment.     

人工岛建设对周围水域潮流场影响研究

在琼州海峡这样一个水动力环境相当复杂的区域建设人工岛,不仅要考虑人工岛本身的稳定性问题,还要深入 地认识人工岛建设引起的周围水域流场变化以及泥沙冲淤变化。为了深入研究工程建设的影响,基于潮流泥沙整体物理模 型试验研究了海口如意岛人工岛工程周围水域工程前后的潮流场变化,得出了人工岛工程的影响范围和强度,同时对工程 海域泥沙冲淤变化情况进行了分析和预测,得出了人工岛工程的建设仅对工程区域附近水域有一定影响的结论。     

人工冻结对南京砂液化特性的影响

针对长江中下游地区广泛分布的南京砂,使用GDS动三轴系统分别在地震荷载和地铁列车振动荷载作用下进行动三轴试验,研究人工冻结对南京砂液化特性的影响及其机理,并判别2种荷载对南京砂冻结施工的潜在危险.结果 表明:在地震荷载和地铁列车振动荷载作用下,冻融循环均会明显降低南京砂的刚度和抗液化能力,首次冻融最为明显;冻融次数越多...     

利用BP神经网络反算土基回弹模量研究

根据三层BP神经网络和层状弹性理论体系,结合FWD研究土基回弹模量的反算。通过利用反算的土基回弹模量,比较了理论和实测土基顶面的弯沉值,从而发现所建立的神经模型有很好的识别能力和泛化能力,其模型可作为评价土基回弹模量的有效途径。