远洋船舶制冷节能技术与经济分析

根据实船操作实践和调研，在对远洋船舶制冷与空调系统的运行工况、操作管理、维护保养等特点进行综合分析基础上，阐述了船舶制冷装置降低能耗和操作运行成本的有效途径，提出了一些有益于船舶制冷节能的结论。     

现代物流管理的可持续发展

物流业作为第三利润已经成为新兴重要产业，加快发展的同时必须注意经济效益和环境效益的统一，把发展绿色物流作为推进可持续发展的一个方面加以落实。因此，有必要对现代物流在可持续发展背景下做系统深入地研究。     

大洋航线气候区划

根据大洋航线的气候特征，尤其是用风、雾、浪、流的时空分布进行分区，把各大洋航线划分为极地航区、温带航区、副热带航区、信风航区、赤道航区，每个航区又划分出若干亚区，对远洋航行航线选择，实现安全经济航行是十分重要的。     

自适应神经网络用于船舶动力定位系统

船舶动力定位（DP）采用一种控制系统驱动装在船上的侧推器和尾部推进器或者几个全回转的推进器，使船定位在海平面的要求位置上。船受到风、浪及流等海洋环境力的作用时会漂移离开原位置，传统的控制方法是采用PID（比例、积分、微分）反馈控制。顾和李（1994）提出了一种新的基于人工神经网络的控制方法，它具有许多优越性：①一个可随意调节的目标函数以适合不同的需求──定位精度高或节约定位能量后前馈控制并能自适应于不同的环境力变化包括非线性的波浪漂力；本文在目标函数中引入了与速度相关的项，从而提高控制质量。这一方法也可用于自动驾驶船舶沿设定的轨迹航行。计算机模拟结果表明本方法能达到很好的控制效果。     

舰船武器装备环境适应性技术

舰船武器装备是一个典型的人-机-环境系统,本文简要论述了环境适应性是舰船武器装备重要的质量特性之一,详细论述了环境适应性设计技术、环境数据技术、环境适应性试验设计,以及舰船武器装备研制各阶段环境试验项目的设计和选择,建议从人-机-环境系统和装备环境工程的角度出发开展舰船武器装备环境适应性技术研究。     

现代企业内部控制环境浅析

内部控制环境是现代企业内部控制的首要要素,文章首先分析了影响现代企业内部控制环境的因素,然后提出了完善现代企业内部控制环境的建议与措施。     

供需链环境下提高企业订单执行效率分析

在企业的生产、管理过程中,如何提高订单执行力的研究仍是一个空白。此文针对当前制造业生产环境存在的主要问题,即生产面临复杂的环境、市场变化的不确定性导致激烈的市场竞争、订单执行过程的协调性较差,进行分析与探讨,提出提高企业订单执行力的方法和可采取的4个方面的措施,从而建立起一套在供需链管理模式下的高效订单执行力体系,使企业快速拓展市场,实现增值和稳步发展。     

Comparing different contour methods with response-based methods for extreme ship response analysis

Environmental contours are often applied in probabilistic structural reliability analysis to identify extreme environmental conditions that may give rise to extreme loads and responses. They facilitate approximate long term analysis of critical structural responses in situations where computationally heavy and time-consuming response calculations makes full long-term analysis infeasible. The environmental contour method identifies extreme environmental conditions that are expected to give rise to extreme structural response of marine structures. The extreme responses can then be estimated by performing response calculations for environmental conditions along the contours.Response-based analysis is an alternative, where extreme value analysis is performed on the actual response rather than on the environmental conditions. For complex structures, this is often not practical due to computationally heavy response calculations. However, by establishing statistical emulators of the response, using machine learning techniques, one may obtain long time-series of the structural response and use this to estimate extreme responses.In this paper, various contour methods will be compared to response-based estimation of extreme vertical bending moment for a tanker. A response emulator based on Gaussian processes regression with adaptive sampling has been established based on response calculations from a hydrodynamic model. Long time-series of sea-state parameters such as significant wave height and wave period are used to construct N-year environmental contours and the extreme N-year response is estimated from numerical calculations for identified sea states. At the same time, the response emulator is applied on the time series to provide long time-series of structural response, in this case vertical bending moment of a tanker. Extreme value analysis is then performed directly on the responses to estimate the N-year extreme response. The results from either method will then be compared, and it is possible to evaluate the accuracy of the environmental contour method in estimating the response. Moreover, different contour methods will be compared.     

Multi-criteria optimization of traffic signals: Mobility,safety, and environment

Two-dimensional multi-objective optimizations have been used for decades for the problems in traffic engineering although only few times so far in the optimization of signal timings. While the other engineering and science disciplines have utilized visualization of 3-dimensional Pareto fronts in the optimization studies, we have not seen many of those concepts applied to traffic signal optimization problems. To bridge the gap in the existing knowledge this study presents a methodology where 3-dimensional Pareto Fronts of signal timings, which are expressed through mobility, (surrogate) safety, and environmental factors, are optimized by use of an evolutionary algorithm. The study uses a segment of 5 signalized intersections in West Valley City, Utah, to test signal timings which provide a balance between mobility, safety and environment. In addition, a set of previous developed signal timing scenarios, including some of the Connected Vehicle technologies such as GLOSA, were conducted to evaluate the quality of the 3-dimensional Pareto front solutions. The results show success of 3-dimensinal Pareto fronts moving towards optimality. The resulting signal timing plans do not show large differences between themselves but all improve on the signal timings from the field, significantly. The commonly used optimization of standard single-objective functions shows robust solutions. The new set of Connected Vehicle technologies also shows promising benefits, especially in the area of reducing inter-vehicular friction. The resulting timing plans from two optimization sets (constrained and unconstrained) show that environmental and safe signal timings coincide but somewhat contradict mobility. Further research is needed to apply similar concepts on a variety of networks and traffic conditions before generalizing findings.