MgO－CoO－NiO氧敏材料的缺陷化学及电导特性研究

本文用点缺陷理论分析了ＭｇＯ－ＣｏＯ－ＮｉＯ系氧敏材料的缺陷模型．并测量了ＭｇＯ－ＣｏＯ－ＮｉＯ材料的高温电导与氧分压的关系．在实验的基础上，研究了该材料的缺陷化学及电导特性，对其禁带宽度及缺陷的热力学参数进行了理论估算．实验结果与理论分析吻合得较好．     

Elevation of Tear MMP-9 Concentration as a Biomarker of Inflammation in Ocular Pathology by Antibody Microarray Immunodetection Assays

Matrix metalloproteinases are a family of enzymes fundamental in inflammatory processes. Between them, MMP-9 is up-regulated during inflammation; thus, its quantification in non-invasive fluids is a promising approach for inflammation identification. To this goal, a biomarker quantification test was developed for ocular inflammation detection using anti-MMP-9 antibody microarrays (AbMAs). After validation with eight healthy control tear samples characterized by ELISA, 20 samples were tested from individuals diagnosed with ocular inflammation due to: cataracts, glaucoma, meibomian gland dysfunction, allergy, or dry eye. Concentration values of tear MMP-9 were obtained for each sample, and 12 patients surpassed the pathological threshold (30 ng/mL). A significant elevation of MMP-9 concentration in the tears of glaucoma patients compared with healthy controls was observed. In order to evaluate the diagnostic ability, an ROC curve analysis was performed using our data, determining the optimal threshold for the test at 33.6 ng/mL of tear MMP-9. In addition, a confusion matrix was applied, estimating sensitivity at 60%, specificity at 88%, and accuracy at 68%. In conclusion, we demonstrated that the AbMAs system allows the quantification of MMP-9 in pathologies that involve inflammation of the ocular surface.     

基于局部时空特征的人体行为软分类识别

针对全局运动特征难以准确提取的问题,本文采用局部时空特征对人体行为进行表征。针对传统词袋中硬分类的方法量化误差大的不足,本文借鉴模糊聚类的思想,提出软分类的方法。根据兴趣点检测算法从视频中提取出视觉词汇,用K means算法对其进行聚类,建立码本。在计算分类特征时,首先计算待分类视觉词汇到码本中各个码字的距离,根据距离计算这个视觉词汇隶属于各个码字的概率,最后统计得到每个视频中各码字出现的频率。在Weizmann和KTH数据库对本文提出的人体行为识别算法进行验证,Weizmann库的识别率比传统的词袋算法提高8%,KTH库的识别率比传统的词袋算法提高9%,因此本文提出的算法能更有效地对人体行为进行识别。     

基于差分进化算法的面目标瞄准点寻优

瞄准点的寻优选取是导弹火力筹划的核心理论问题之一。针对此问题,本文基于矩形面目标毁伤面积计算设计评价函数,利用差分进化算法原理对面目标的瞄准点坐标进行实数编码,并设计差分进化算子,建立面目标瞄准点寻优模型。通过设计面目标计算实例对模型进行验证,实验结果表明,差分进化算法的稳定性较强且具有较好的操作性,模型求得的瞄准点可信度较高,能够提升导弹打击效果并降低打击成本,为火力筹划中瞄准点寻优提供了新方法。     

基于SOANet的圆锥角膜辅助诊断

亚临床期圆锥角膜(subclinical keratoconus, subkc)发病隐匿,现有医疗设备诊断存在局限性,所以提出一种诊断亚临床期圆锥角膜的检测方法是十分必要的。有研究发现圆锥角膜(Keratoconus, kc)力学性能的改变早于形态学,因此从角膜生物力学的角度筛查亚临床期的圆锥角膜更加符合临床实际。本文运用角膜生物力学特征,以点云数据作为网络输入数据,将SO-Net (self-organizing network)和自注意力(self-attention, SA)机制结合构建SOANet,对圆锥角膜、亚临床期圆锥角膜和正常角膜进行分类。首先,利用可视化生物力学分析仪(corneal visualization Scheimpflug technology, Corvis ST)拍摄角膜受力形变视频,对其进行处理得到点云数据集,接着对点云数据进行增强处理,使3种类型的角膜数据量分布均衡。然后按照3∶1的比例划分训练集和测试集,分别对角膜进行二分类和三分类。最终模型在二分类和三分类测试集上的准确率分别达到98.3%和91.26%,即有效识别亚临床期圆锥角膜和圆锥角膜。实验...     

VSAT的技术进展

本文从传输技术、多址接入方式、网络管理和网络体系结构等方面综述了甚小口径卫星地球站在技术上的最新进展。     

T-NTRU物联网动态接入认证技术

物联网终端安全接入认证是保证电力物联网大规模建设的关键性技术.传统认证方案通常采用的椭圆曲线密码算法,计算量大,不能抵抗量子攻击.数论研究单元算法可以抵抗量子攻击,与椭圆曲线密码采用点乘算法相比,计算速度快.因此提出了一种时间变换数论研究单元算法物联网动态安全接入认证算法,使用动态变化时间序列通过哈希函数产生动态密钥,...     

交换机V5.2接口在青海电力通信网中的应用

V5.2接口是本地交换机和用户终端设备之间的新型数字接口。文章详细介绍了V5.2接口技术特点,并介绍了利用华为公司程控交换机所提供的V5.2接口和ONU接入网设备解决公司所属业务量较少的单位和住宅小区通信的成功案例。     

非间断软件回归测试模型研究

软件测试是开发过程的重要环节。回归错误在开发过程中严重影响着开发的效率,其隐匿特性也使得测试比较困难。因此,本文提出一种非间断测试的模型,用于加强对回归错误的管理,节约不必要的无谓工作时间,提高软件开发的效率。这种模型对用户开发行为进行模拟和推测,在经过大量的数据训练后,寻找测试行为、错误发生等开发动作的捕获点,从而找到最佳的测试策略。在不影响开发人员工作的前提下,可对当前最新的代码进行测试,最大程度上避免回归错误长期隐藏在前期代码中,保持整个开发过程的稳步前进。     

AU-aware Algorithm for 3D Facial Reconstruction

As a critical task in computer vision and animation, 3D face reconstruction can provide 3D model structures and rich semantic information for multi-modal facial applications. However, monocular 2D facial images lack depth information and the parameters of the predicted facial model are not reliable, which causes poor reconstruction results. We propose to employ facial Action Unit (AU) and key facial points which are highly correlated with model parameters as a bridge to guide the regression of model-related parameters and thus solve the ill-posed monocular face reconstruction. Based on existing face reconstruction datasets, we provide a complete semi-automatic labeling scheme for facial AUs and construct a 300W-LP-AU dataset. Furthermore, a 3D face reconstruction algorithm based on AU awareness is put forward to realize end-to-end multi-tasking learning and reduce the overall training difficulty. Experimental results show that the algorithm can improve the face reconstruction performance, with high fidelity of the rebuilt facial model.