Engaging Bourdieu’s habitus with Chinese understandings of embodiment: Knowledge flows in Health and Physical Education in higher education in Hong Kong

Abstract

This paper begins with a question: can concepts generated in the Chinese context in the sociocultural relations of the periphery contribute to the development of the social sciences in the field of Health and Physical Education (HPE) that have their roots in the metropole? Setting the scene in the Hong Kong Special Administrative Region (HKSAR), a postcolonial city reverted to the rule of the People’s Republic of China (PRC) in 1997, this paper aims to develop a critical sociology of HPE by having a dialogue among Continental philosophies (e.g., Bourdieu) and Chinese philosophies around embodiment concepts. Although HKSAR is a complex meeting point of Eastern and Western ideologies, the current HPE field tends to focus on Western and ‘scientific’ ways of knowing, such as the measurement of health and physical fitness, and often at the expense of sociocultural perspectives, social justice and diversity and inclusion in HPE. In other words, the (post) positivistic research paradigm underpins the HPE field. This paper argues that in order to reap the benefits of a more holistic health education for academics and students in HPE, it is vital to de-imperialise the positivistic ways of teaching and being in HPE. In doing so, this paper creates a space for Bourdieu’s habitus to meet Chinese perspectives on embodiment to engage in a dialogue for knowledge production that extends the current knowledge base in HPE.     

电离层色散效应对星载SAR成像的影响

SAR信号传播过程中受到电离层色散效应的影响,不同频率的信号传播速度会出现差异。对于宽带线性调频信号,色散效应导致SAR信号产生传播时延,引入附加的超前相位。通过时域仿真方法仿真并分析不同载频、不同带宽、不同电离层TEC值和不同方位分辨率条件下,电离层色散效应对SAR成像的影响。结果表明电离层色散效应造成SAR图像距离向偏移、旁瓣升高和脉冲展宽等问题。P波段和L波段受电离层色散效应影响较为明显。C波段和X波段高分辨率星载SAR,信号带宽载频比值较大时,电离层色散效应的影响导致成像质量下降。     

脂肪醇对发光菌毒性的QSAR研究

应用分子力学方法MM+和半经验量子化学PH3法得到了15种脂肪醇分子的优势构象,同时获得电子结构和几何结构参数,并将这些参数与脂肪醇对发光菌的毒性相关联.结果表明:脂肪醇对发光菌的毒性与氢原子最高正电荷(Qmox+)及疏水系数(1gP)的相关性较好,成功地建立了15种脂肪醇的构效关系武.     

双基地合成孔径雷达扩展Chirp Scaling成像算法

根据传统SAR处理中的扩展CS算法原理,推导了适用于同轨迹飞行模式双基地SAR的扩展Chirp Scaling算法,解决了接收、发射分置引起的雷达响应函数从距离－方位域向二维频域变换的复杂性问题,分析了算法推导中各种误差的影响,通过计算机仿真验证了算法在小斜视角情况下,对双基地SAR数据成像的有效性。     

双基地合成孔径雷达扩展Chirp Scaling成像算法

根据传统SAR处理中的扩展CS算法原理,推导了适用于同轨迹飞行模式双基地SAR的扩展Chirp Scaling算法,解决了接收、发射分置引起的雷达响应函数从距离－方位域向二维频域变换的复杂性问题,分析了算法推导中各种误差的影响,通过计算机仿真验证了算法在小斜视角情况下,对双基地SAR数据成像的有效性。     

星载SAR回波中频采样后直接BAQ的设计

提出了一种星载合成孔径雷达(SAR)回波中频采样后直接分块自适应量化(BAQ)的设计.从理论上证明了中频BAQ的可行性.与中频回波数字下变频后再BAQ的典型结构相比,该设计将数字下变频放到地面进行,简化了电路结构,节省了硬件资源.采用免混频结构时,仿真结果表明:下传数据率相同的情况下两者的性能接近,新方案所耗费的硬件资源不到前者的1/3.     

Semisupervised SAR image change detection based on a siamese variational autoencoder

In synthetic aperture radar (SAR) image change detection, the deep learning has attracted increasingly more attention because the difference images (DIs) of traditional unsupervised technology are vulnerable to speckle noise. However, most of the existing deep networks do not constrain the distributional characteristics of the hidden space, which may affect the feature representation performance. This paper proposes a variational autoencoder (VAE) network with the siamese structure to detect changes in SAR images. The VAE encodes the input as a probability distribution in the hidden space to obtain regular hidden layer features with a good representation ability. Furthermore, subnetworks with the same parameters and structure can extract the spatial consistency features of the original image, which is conducive to the subsequent classification. The proposed method includes three main steps. First, the training samples are selected based on the false labels generated by a clustering algorithm. Then, we train the proposed model with the semisupervised learning strategy, including unsupervised feature learning and supervised network fine-tuning. Finally, input the original data instead of the DIs in the trained network to obtain the change detection results. The experimental results on four real SAR datasets show the effectiveness and robustness of the proposed method.     

地基SAR图像与地形数据的几何映射三维匹配方法

地基合成孔径雷达(GB-SAR)系统具有全天时、全天候、定点连续监测等特点,在矿山及山体滑坡、桥梁沉降、地震形变等领域具有广阔的应用前景.地基SAR图像与上述领域中地形数据的几何映射三维匹配是系统与实际应用相结合的关键技术.本文建立地基SAR系统与地形数据的关系模型及地基SAR系统与雷达图像的关系模型,提出基于距离向和方位向条件的几何映射三维匹配方法;分析几何映射三维匹配过程的误差特性.通过实测数据验证了本文模型及几何映射三维匹配方法的有效性.     

基于空间计量经济学的高新技术产业集聚及其影响因素研究——以长江三角洲16个城市为例

本文通过计算反映城市间空间关联的地理距离矩阵和经济社会矩阵,并将其引入空间自回归模型（SAR）,从空间维度研究长江三角洲十六个城市高新技术产业集聚的影响因素。为克服空间面板数据模型中存在的固定效应,采用具有固定效应的空间自回归模型进行数据的拟合。研究结果表明：长三角各城市高新技术产业集聚存在空间相关性,城市间的地理距离、经济社会联系能够有效地刺激高新技术产业集聚地区间溢出,城市的创新能力、知识溢出、消费者需求对高新技术产业集聚均具有正向影响,政府行为中的对外开放度的影响为正,但政府干预过度及政策扶持过多的影响为负。     

一种新的多极化SAR图像滤波方法

为了保持多极化SAR图像的极化特性,协方差矩阵中的每一个元素都必须在相同的局部同质区内进行独立的滤波处理。大多数滤波方法都采用了固定大小的滑动窗技术,导致其同质区域的大小不能自适应于局部纹理的变化,因此,很难解决保留结构特征和平滑斑点噪声这对矛盾。要解决该问题,可采用大小可变的滑动窗来搜索局部的最大同质区,最大同质区的大小能自适应局部纹理的变化。实验结果表明,该方法能有效地保持图像的空间结构特征和极化特性,同时也能获得较好的斑点噪声抑制效果。