迁客离忧楚地颜--略说贬谪文学与荆湘地域之关系及其特点

古代荆湘之地域的特殊性使其成为朝廷贬官吏的首选之地和贬官的中转之地。在此 ,这些被贬官首创了大量关于贬谪的文学作品。其作品物色鲜明 ,楚地风情突出 ,具有近乎凝固化了的悲怨传统 ,早期逐臣、作品及谪地成为凝定的贬谪代码和符号 ,生成并积淀了深厚的人文精神。     

海底反射参数对平均场强结构的控制

海底的反射性能是影响水声传播的重要环境因素。无论从海洋声场予报角度或水声信道匹配角度都需要对海底的反射性能作切合实际的简化描述。对声场分析而言,参数化描写是常用的手段。以前曾采用最简单的“单参数”与“双参数”模型来分析声场规律[1-4]。这些模型的缺点是没有反映出反射损失的全部掠角关系的主要特征,而只注意了小掠角的局部特征,因而近场与远场难於衔接。在文[5]中,我们根据大量实测数据的一般趋势,提出了“三参数”模型进行平均声场的分析,基本上克服了这一困难。并给出由“过度距离”标定的场强结构。     

智能潜器的集成仿真系统

本文介绍了智能潜器集成仿真系统的硬、软件结构．通过这一系统所展示的水下虚拟仿真环境能够在研究和开发智能潜器的控制体系结构、潜器载体的水动力学、信息融合和目标识别等工作中发挥巨大作用     

A model of the formation and development of ocean shear wave

Ａｍｏｄｅｌｏｆｔｈｅｆｏｒｍａｔｉｏｎａｎｄｄｅｖｅｌｏｐｍｅｎｔｏｆｏｃｅａｎｓｈｅａｒｗａｖｅ￥ＱｉａｏＦａｎｇｌｉａｎｄＺｈａｎｇＱｉｎｇｈｕａ（ＦｉｒｓｔＩｎｓｔｉｔｕｔｅｏｆＯｃｅａｎｏｇｒａｐｈｙ，ｓｔａｔｅｏｃｅａｎｉｃＡｄｍｉｎｉｓ...     

莱州湾温带风暴潮预报研究

本文依据莱州湾羊角沟、夏营两站建国以来的风暴增水资料，对莱州湾建国后发生的风暴潮进行了统计分析，并探讨了温带风暴潮产生的物理机制，此外还对莱州湾温带风暴增水以及诱发增水的天气形势进行了分析分类。在此基础上建立了莱州湾温带风暴潮统计预报方法，并在作业预报中对模型进行了检验，取得较为理想的效果。     

Effects of light, temperature and nutrients on photosynthesis of Biddulphia regia

Ｅｆｆｅｃｔｓｏｆｌｉｇｈｔ，ｔｅｍｐｅｒａｔｕｒｅａｎｄｎｕｔｒｉｅｎｔｓｏｎｐｈｏｔｏｓｙｎｔｈｅｓｉｓｏｆＢｉｄｄｕｌｐｈｉａｒｅｇｉａＩＮＴＲＯＤＵＣＴＩＯＮＬｉｇｈｔ，ｔｅｍｐｅｒａｔｕｒｅａｎｄｎｕｔｒｉｅｎｔｓａｒｅｉｍｐｏｒｔａｎｔｅ...     

大亚湾的环境研究

大亚湾自然条件优越,生物资源丰富,是当前广东经济开发的“热点”。本文从生态环境的角度讨论大亚湾的环境质量问题,并指出今后大亚湾的经济开发应注意环境保护问题。     

中国北方沿海食用贝类油污染特征研究

１９９０年７月～１９９１年１２月，监测了中国北部沿海食用贝类体内的污染物残留量水平。本文用石油烃的分析数据为基础，讨论了沿岸贝类受石油烃污染的现状和分布特征；计算了样品干、湿重含量的本底值范围。给出了油标准和标准之间的互校系数Ｒ值。对样品进行了同步荧光光谱分析，并用同步荧光光谱的分析数据，计算了样品间模糊相关系数，做了模糊聚类分析。     

Effect of Temperature on the Fatty Acid Composition of Four Species of Marine Microalgae

For most aquacultured animals, the unsaturated fatty acids of marine microalgae have the effects of raising their rates of hatchability, survival and growth and the essential nutrients for the cultured animals such as fish and shrimp. Japanese and ROK scholars have reported that the algal powder added into the fish and shrimp bait may act as coagulating and anti-collapsing agents, and is especially effective if it is used in the water lacking minerals and vitamins[1]. Japanese scholars have p…     

A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis

Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.