船舶电站监控系统的CAN通讯协议

针对船舶电站监控系统的工作特性以及发展要求,提出一种基于时分复用算法以及动态优先级提升算法的CAN通讯协议,并采用双冗余CAN网,提高了数据传输的实时性与可靠性,增加了系统的冗余能力,构建了整体架构,实现了系统的总体程序。     

江苏海洋经济发展人才培养的分析与思考

人才匮乏是制约江苏海洋经济发展的重要因素之一。文章针对江苏海洋经济发展现状,指出江苏海洋人才队伍建设面临严峻的考验,已经成为江苏实施国家海洋战略、振兴"海上苏东"的重大障碍,并提出了加强江苏海洋人才队伍建设的若干对策。     

轮机工程技术专业“点单式”人才培养模式探讨与实践

文章通过对江苏海事职业技术学院轮机工程技术专业基于"工学结合、校企共育"的新型"订单式"人才培养模式探索,根据行业特点和国际公约,探讨建立符合轮机工程技术人才特点的"点单式"人才培养模式,创新"校、企、学"三主体共同发展的高职教育育人新机制。     

南通船舶海工及配套业推动新兴产业发展战略研究

在促进长三角区域合作的视野下,通过分析研究世界船舶海工及配套业发展特点及南通船舶海工及配套业发展现状,提出南通发展船舶海工配套业推动新兴产业发展的战略思考.     

105国道德聊界至东阿段路基施工翻浆问题研究

就105国道德聊界至东阿段施工中遇到的翻浆问题,分析其产生翻浆的原因,并找出解决问题的方法,以供同行参考借鉴。     

国道210线树林召至东胜段公路改建工程地质问题分析

以国道210线树林召-东胜段公路改建工程为研究对象,经过现场地质调查,从地形地貌、区域构造、地层特点及路基填料适应性等方面对其进行宏观地质评价。本研究对附近地质背景相近的公路建设项目评价有一定借鉴意义。     

Monitoring marine plankton ecosystems: Identification of the most relevant indicators of the state of an ecosystem

The number of variables involved in the monitoring of an ecosystem can be high and often one of the first stages in the analysis is to reduce the number of variables. We describe a method developed for geological purposes, using the information theory, that enables selection of the most relevant variables. This technique also allows the examination of the asymmetrical relationships between variables. Applied to a set of physical and biological variables (plankton assemblages in four areas of the North Sea), the method shows that biological variables are more informative than physical variables although the controlling factors are mainly physical (sea surface temperature in winter and spring). Among biological variables, diversity measures and warm-water species assemblages are informative for the state of the North Sea pelagic ecosystems while among physical variables sea surface temperature in late winter and early spring are highly informative. Although often used in bioclimatology, the utilisation of the North Atlantic Oscillation (NAO) index does not seem to provide a lot of information. The method reveals that only the extreme states of this index has an influence on North Sea pelagic ecosystems. The substantial and persistent changes that were detected in the dynamic regime of the North Sea ecosystems and called regime shift are detected by the method and corresponds to the timing of other shifts described in the literature for some European Systems such as the Baltic and the Mediterranean Sea when both physical and biological variables are considered.     

摩托车油耗试验新国家标准学习与研究

GB 15744—2008《摩托车燃油消耗量限值及测量方法》和GB 16486—2008《轻便摩托车燃油消耗量限值及测量方法》2项新国家标准已经出版发行,今年7月1日正式实施。新国标中试验方法、数据处理、油耗限值与老国标相比变化较大,新标准试验方法和数据处理更科学、细致和严格,同时试验技术难度加大,成本提高。     

海上保险可保利益原则探析

可保利益原则是海上保险法中的基本原则之一。纵观可保利益原则的发展历程,其一贯的主要内涵可被简化为:被保险人对保险标的不具可保利益的保险合同不可被执行。本文试图揭示可保利益原则的内在属性和实在价值,并对其发展前景作一展望。     

Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models

Marine ecosystem models are becoming increasingly complex and sophisticated, and are being used to estimate the effects of future changes in the earth system with a view to informing important policy decisions. Despite their potential importance, far too little attention has been, and is generally, paid to model errors and the extent to which model outputs actually relate to real-world processes. With the increasing complexity of the models themselves comes an increasing complexity among model results. If we are to develop useful modelling tools for the marine environment we need to be able to understand and quantify the uncertainties inherent in the simulations. Analysing errors within highly multivariate model outputs, and relating them to even more complex and multivariate observational data, are not trivial tasks. Here we describe the application of a series of techniques, including a 2-stage self-organising map (SOM), non-parametric multivariate analysis, and error statistics, to a complex spatio-temporal model run for the period 1988–1989 in the Southern North Sea, coinciding with the North Sea Project which collected a wealth of observational data. We use model output, large spatio-temporally resolved data sets and a combination of methodologies (SOM, MDS, uncertainty metrics) to simplify the problem and to provide tractable information on model performance. The use of a SOM as a clustering tool allows us to simplify the dimensions of the problem while the use of MDS on independent data grouped according to the SOM classification allows us to validate the SOM. The combination of classification and uncertainty metrics allows us to pinpoint the variables and associated processes which require attention in each region. We recommend the use of this combination of techniques for simplifying complex comparisons of model outputs with real data, and analysis of error distributions.