以管理抓安全提升政务信息安全保障水平简

文章以北京市东城区社会服务管理平台为代表的重要政务信息系统的发展以及面临的安全风险入手,阐述了全区信息化发展与信息安全保障的关系,介绍了东城区信息办在推进全区信息安全运维工作的实践,介绍了全区加强信息安全保障工作的思路和做法。     

Supervised discrete hashing through similarity learning

Multimedia Tools and Applications - Supervised hashing has achieved better accuracy than unsupervised hashing in many practical applications owing to its use of semantic label information. However,...     

Person re-identification based on multi-appearance model

Person re-identification plays important roles in many practical applications. Due to various human poses, complex backgrounds and similarity of person clothes, person re-identification is still a challenging task. In this paper, we mainly focus on the robust and discriminative appearance feature representation and proposed a novel multi-appearance method for person re-identification. First, we proposed a deep feature fusion method and get the multi-appearance feature by combining two Convolutional Neural Networks. Then, in order to further enhance the representation of the appearance feature, the multi-part model was constructed by combining the whole body and the six body parts. Additionally, we optimized the feature extraction process by adding a pooling layer. Comprehensive and comparative experiments with the state-of-the-art methods over publicly available datasets demonstrated that the proposed method can get promising results.

     

基于CPU-GPU异构体系结构的并行字符串相似性连接方法

相似性连接技术在数据清洗、数据集成等领域中具有重要意义,近年来引起了学术界的广泛关注.随着数据量的不断增大、数据处理实时性的要求逐渐提高以及处理器性能提升瓶颈的出现,传统的串行相似性连接方法已经不能满足当前大数据处理的需求.近些年,GPU作为协处理器在机器学习等领域取得了良好的加速效果,因此基于GPU的并行算法开始成为解决各类性能问题的有效解决方案.为此,提出了基于CPU-GPU异构体系的并行相似性连接方法.首先,方法使用GPU构建倒排索引,索引采用SoA(struct of arrays)结构,从而解决了传统索引结构在并行模式下读写效率低的问题.其次,针对串行算法的性能问题,提出基于过滤验证框架的并行双重长度过滤算法,其中利用前缀过滤和构建好的倒排索引提升过滤效果.方法中相似度精确计算验证过程使用CPU计算执行,从而充分利用CPU-GPU的异构计算资源.最后,在多个数据集上进行实验验证性能.通过与串行相似性连接算法进行对比,实验结果表明所提出方法相对于已有方法具有更好的过滤效果和更低的索引生成代价,并在相似性连接上具有更好的性能和良好的加速比.     

基于特征矢量化的肺结节特征选择算法*

针对肺结节良恶性分类模型中特征选择过程无法避免特征多样性不受破坏的问题,提出一种将肺结节特征矢量化处理的特征选择方法。首先,假设每个肺结节特征都是由数据、类型构成的一个矢量。然后,按照特征类型添加特征到相应的特征子集,并分别利用Relief算法评价特征、特征子集的分类重要性。最后,通过动态阈值的方式筛选得到优化后的特征子集。在150个肺结节样本的分类实验中,采用本文算法所取得的敏感性为94.7%、特异性为93.7%、虚警率为5.2%、受试者工作特性曲线下面积为97.3%。分析表明,本文算法几乎不破坏肺结节特征的多样性,能够显著提高肺结节良恶性分类的准确性。     

基于两级插补机制的NURBS曲线插补器研究

针对非均匀有理B样条（non-uniform rational B-spline,NURBS）曲线高速高精加工过程中计算负载高的问题,提出一种基于两级插补机制的NURBS曲线插补器方案,在主控端执行第一级插补,完成曲线预处理等粗插补工作;在运动控制端执行第二级插补,完成加减速及实时位置输出等精插补工作。同时,设计并开发基于ARM-FPGA架构的实验平台,可用于两级插补器的实验验证,具有一定的现实参考意义。     

高校学生网络评教影响因素研究

抽取4个院系、12个专业,约37 724个原始数据,经过异常值处理后,获得34 022个有效个案。在信度和效度检验的基础上,采取均值相等性的稳健性检验和Tamhane方法进行方差不相等情况下的多重比较,探索了学生网上评教影响因素。研究结果表明,学生年级、学生成绩、教学班级数、教师年龄、授课门数、课程性质等非教学因素显著影响教师教学综合评价。     

基于动态双门限和D-S证据理论的合作频谱感知算法

针对传统能量检测算法门限设置单一且不适应感知信道环境差异的问题,为了提高合作频谱感知结果的可靠性,减小网络开销和融合中心计算的负担,提出了将动态双门限能量检测和D-S证据理论相结合的合作频谱感知算法.在进行本地感知时,该算法可以让认知用户通过双门限能量检测方法直接得到本地判决结果,同时根据信道环境的变化自适应调整双门限值,并在双门限内使用D-S证据理论,感知双门限内未判决结果的信任度函数,将其发往融合中心,这样可以减少融合中心的计算量以及传输带来的网络开销.仿真结果表明,双门限D-S证据理论的融合结果要优于D-S证据理论和OR准则.     

Hydrostatic-pressure-induced depolarization of (Pb1-1.5xLax)(Zr0.80Ti0.20)O3 ferroelectric ceramics

Pulse power energy conversion materials with ultrafast discharge processes and ultrahigh power densities have been widely used in the defense, energy, medical, and mining fields. The pressure-driven depolarization in ferroelectric materials is significant and accounts for the discharge processes. In this study, we focus on pressure-induced depolarization in (Pb_1-1.5xLa_x)(Zr_0.80Ti_0.20)O₃ (PLZT) (x = 0-0.07) ceramics, and their corresponding phase structure, dielectric properties, ferroelectric properties, and thermal depolarization performances. Although a satisfactory pulse power energy conversion performance has been achieved in Pb(Zr_0.95Ti_0.05)O₃ materials, poor temperature stability negatively influences their application. The static charge densities of PLZT (x = 0.04, 0.06) decreased from 29.11 μC/cm² and 31.53 μC/cm² to 19.76 μC/cm² and 6.56 μC/cm² under 400 MPa hydrostatic pressure, respectively, which is attributed to a pressure-driven ferroelectric-antiferroelectric phase structural transition. In particular, the temperature stability of PLZT (x = 0.06) materials is up to 87°C. This study may guide the further development pulse power energy conversion devices.     

The effect of washing process on the cracking of ZrO2 microspheres by internal gelation

ZrO₂ microspheres are widely used as a simulant of UO₂ in the development of nuclear fuel. However, the cracking of ZrO₂ microspheres prepared by internal gelation is still a challenge during drying and sintering processes. To address this issue, we designed and optimized the washing process for obtaining crack-free ZrO₂ microspheres. Through thermogravimetric, infrared, Raman, BET, and SEM analysis, it is shown that the cracking of the microspheres is mainly related to the pores in microspheres. The washing solvent with low surface tension is used to reduce the effect of capillary force on pore shrinkage. Therefore, the optimal washing process was designed as trichloroethylene (TCE)—0.5 M NH₃.H₂O—Propylene glycol methyl ether (PM) and gel microspheres with a high specific surface area of 315.3 m²/g and pore volume of 0.4125 cm³/g were obtained. The characterizations also further showed that when the microspheres were dried and sintered, the water vapor and the decomposition gas of organic matter were completely released from the pores in the microspheres. Our new washing process could be directly extended for preparing crack-free ceramic microspheres by internal gelation.