论刑罚个别化原则

刑事近代学派在批判刑事古典学派的基础上提出的刑罚个别化主张,对于预防犯罪和实现司法实践活动中的个别公正具有不可替代的作用.人身危险性是刑罚个别化原则的核心概念.分析了人身危险性与初犯可能性、主观恶性的关系,阐述了刑罚个别化原则的理论依据以及刑罚个别化原则与罪刑相适应原则的冲突,认为应该在罪与刑相适应的基础上,用人身危险性加以调整、修正,在一般预防和报应主义下,考虑刑罚的个别预防.     

VR技术对地下步行商业街心理环境辅助设计初探

文章力图以VR（虚拟现实）技术手段应用于城市地下步行商业街规划设计,来解决当前传统规划手段地下步行商业街规划中普遍存在的对其心理环境构筑的忽视和考虑不完善的诟病,以期最大限度消除规划设计中消极空间的产生,并对其关键技术进行了研究和探讨     

让设计成为科学、艺术、时尚融合的载体——记北京服装学院教师作品展

本文结合北京服装学院2008年在中国美术馆举办的首届教师作品展,就学校的办学理念、办学特色、创新教育、优势互补和理论研讨等方面展开论述。不仅彰显了北京服装学院的学科优势,而且突出了学校在“奥运”和“神七”设计中贡献社会的浓重一笔。同时,也强调了学校对传统与时尚、艺术与科学、民族与世界融为一炉的设计理念的高度重视。     

聚酯经营 风云变幻

回顾了 2 0 0 0年世界聚酯的发展状况 ,分析了 2 0 0 1年聚酯经营的现状 ,指出聚酯工业正面临着风云变幻的境地 ,并提出发展聚酯工业的建议。     

硬质聚氯乙烯管专用树脂

采用电镜分析、反相色谱、毛细管流变仪和布拉本达塑性仪研究了由锦西化工研究院生产的ＰＶＣ管用树脂的颗粒形貌、比表面积、流变性能和加工速率。结果表明，该树脂和疏松型树脂的形貌呈棉桃状不同，外形为球状，比表面积较大，约比普通ＳＧ－５型树脂增加１倍，最高可达１．００７ｍ＾２／ｇ；在从低剪切到高剪切速率范围内，该树脂的表观粘度均比ＳＧ－５型树脂低，不论是采用粒料还是粉料挤出，在聚合度相同时，该树脂的挤出速率     

Reprint of “Suppressing propylene carbonate decomposition by coating graphite electrode foil with silver”

A method has been developed to suppress the decomposition of propylene carbonate (PC) by coating graphite electrode foil with a layer of silver. Results from electrochemical impedance measurements show that the Ag-coated graphite electrode presents lower charge transfer resistance and faster diffusion of lithium ions in comparison with the virginal one. Cyclic voltammograms and discharge-charge measurements suggest that the decomposition of propylene carbonate and co-intercalation of solvated lithium ions are prevented, and lithium ions can reversibly intercalate into and deintercalate from the Ag-coated graphite electrode. These results indicate that Ag-coating is a good way to improve the electrochemical performance of graphitic carbon in PC-based electrolyte solutions.     

A Performance Evaluation of Classic Convolutional Neural Networks for 2D and 3D Palmprint and Palm Vein Recognition

Palmprint recognition and palm vein recognition are two emerging biometrics technologies. In the past two decades, many traditional methods have been proposed for palmprint recognition and palm vein recognition, and have achieved impressive results. However, the research on deep learning-based palmprint recognition and palm vein recognition is still very preliminary. In this paper, in order to investigate the problem of deep learning based 2D and 3D palmprint recognition and palm vein recognition in-depth, we conduct performance evaluation of seventeen representative and classic convolutional neural networks (CNNs) on one 3D palmprint database, five 2D palmprint databases and two palm vein databases. A lot of experiments have been carried out in the conditions of different network structures, different learning rates, and different numbers of network layers. We have also conducted experiments on both separate data mode and mixed data mode. Experimental results show that these classic CNNs can achieve promising recognition results, and the recognition performance of recently proposed CNNs is better. Particularly, among classic CNNs, one of the recently proposed classic CNNs, i.e., EfficientNet achieves the best recognition accuracy. However, the recognition performance of classic CNNs is still slightly worse than that of some traditional recognition methods.

     

Adaptive Safety Motion Control for Underactuated Hovercraft Using Improved Integral Barrier Lyapunov Function

International Journal of Control, Automation and Systems - In this paper, we investigate the problem of safety motion control for an underactuated hovercraft from subject to safety constraint on...     

Improved Computational Model of Grid Cells Based on Column Structure

To simulate the firing pattern of biological grid cells, this paper presents an improved computational model of grid cells based on column structure. In this model, the displacement along different directions is processed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Compared with the original model, the improved parts include that: the base of modulus operation is changed, and the firing rate in firing field is encoded by Gaussian-like function. Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computational model can also generate the regularly hexagonal firing pattern when the real-time positioning results are modified.     

基于解析解的四阶PDE曲面裁剪方法

该文提出了一种可以广泛应用于四阶PDE曲面的裁剪方法。利用PDE的参数域内的曲线在曲面上投影,得到所求裁剪曲面的边界曲线,然后通过边界曲线的导矢与曲面在边界曲线处的法向量得到边界曲线处的跨界导矢,最后以求得的裁剪曲面的边界曲线以及裁剪曲面在边界曲线处的跨界导矢为PDE曲面的边界条件,用四阶的PDE曲面方程求得PDE裁剪曲面。