Three Types of Spatial Function Zoning in Key Ecological Function Areas Based on Ecological and Economic Coordinated Development: A Case Study of Tacheng Basin, China

Three types of spatial function zoning is an effective measure for regional environmental protection and orderly development.For ecological and economic coordinated development, spatial function zones should be divided scientifically to clear its direction of development and protection. Therefore, based on ecological constraints, a beneficial discussion would be about the key ecological function areas adopting the concept of ecological protection restriction and supporting socioeconomic development for spatial function zoning. In this paper, the researchers, taking Tacheng Basin, Xinjiang of China as an example, choose township as basic research unit and set up an evaluation index system from three aspects, namely, ecological protection suitability, agricultural production suitability, and urban development suitability, which are analyzed by using spatial analysis functions and exclusive matrix method. The results showed that: 1) This paper formed a set of multilevel evaluation index systems for three types of spatial function zoning of the key ecological function areas based on a novel perspective by scientifically dividing Tacheng Basin into ecological space, agricultural space, and urban space,which realized the integration and scientific orientation for spatial function at the township scale. 2) Under the guidance of three types of spatial pattern, the functional orientation and suggestions of development and protection was clearly defined for ecological protection zones,ecological economic zones, agricultural production zones, and urban development zones. 3) A new idea of space governance is provided to promote the coordinated and sustainable development between ecology and economy, which can break the traditional mode of thinking about regional economic development, and offers a scientific basis and reference for macro decision-making.

旅游产业集群网络结构及其空间相互作用研究——以杭州国际旅游综合体为例

旅游产业集群的网络构成分为核心网络与外围支持网络。旅游产业集群网络由主体、旅游资源以及旅游活动三部分组成。论文把旅游产业集群网络结构分为原子式、单核式、多核式、混合式等4种形态。论文把旅游产业集群网络结构空间相互作用分为三个层次:第一层次是核心旅游企业之间及相关旅游企业之间的竞争与合作;二是旅游企业和研究机构、地方政府、旅游中介机构及旅游投资机构之间的空间作用;三是旅游产业集群内部主体,主要是旅游企业与旅游产业集群外部成员之间的交流与互动,并以杭州国际旅游综合体为例对这三个层次的空间相互作用进行了分析。

动态光散射检测电机转速的互信息函数分析

通过计算互信息函数,对动态光散射得到的电机转速的时间序列进行了分析。研究表明,互信息函数法能准确地测出电机转速。同时,由于互信息函数自身的优点———能实际地反映出数据之间的相互关联,因此,与自相关函数法比较,互信息函数法可反映出更多的动力学信息。对实验数据的时间序列作了二维的相空间重构,从重构图形发现系统有2周期行为,并呈现有一些新现象。

基于脑功能网络和共空间模式分析的脑电情绪识别

传统脑网络的情绪分类将聚类系数、平均最短路径等拓扑属性作为分类特征。针对这些属性易受网络连接阈值和特征选择的影响,难以完全表征不同情绪状态下的网络空间拓扑结构差异的问题,提出了一种基于脑网络和共空间模式的脑电情绪识别方法(EEG emotion classification based on common spatial patterns of brain networks topology,EEC-CSP-BNT)。该算法基于互信息在各个子频段内计算电极间的功能连接矩阵,同时利用共空间模式(common spatial pattern,CSP)分析学习空间滤波器,构建分类特征,最后通过分类器(如Fisher线性判别、支持向量机、K最近邻)实现基于脑电的情绪分类。基于DEAP和SEED数据集的实验结果表明,相比于脑网络拓扑属性,EEC-CSP-BNT能有效提取脑网络拓扑结构的分类信息,提高脑电情绪识别性能。

结合轮廓波域与空域特征的无参考图像质量评价

为了有效评价不同失真类型的图像质量,提出了一种基于轮廓波域与空域特征的无参考图像质量评价方法,利用轮廓波域与空域的不同特点,从尺度、方向、像素3个方面提取图像特征建立质量评价模型。该方法在轮廓波域内对图像进行轮廓波分解,分别提取尺度特征互信息和方向特征能量;再在空域内提取经过高斯函数拟合得到的像素特征形状、方差和均值;通过支持向量回归进行训练学习,建立图像质量预测模型。实验结果表明,该方法与主观得分有较好的一致性,总体性能优于当前相关文献报道方法,并且该方法具有较低的时间复杂度,能更好地推广及应用。