丹东市个体私营经济发展态势分析

我市个体私营经济具有一定的经济基础,发展前景广阔,渐趋成为全市经济的重要组成部分。本文阐述了我市个体私营经济的现状,分析了发展中存在的问题,提出了加快发展所应采取的措施。     

稀土多元复合肥对甜菜增产增糖效应研究

利用稀土多元复合肥对甜菜进行施肥，不仅大幅度提高了产量，而且提高了甜菜含糖量，其经济效益十分可观。不论采取叶面施肥还是拌种均能获得稳定的增产增糖效果。     

基于最优占空比的风力发电机MPPT方法研究

针对目前已有的最大功率跟踪(MPPT)控制方法的不足,为提高风力发电的最大风能利用效率,根据风力发电机和boost变换器的输出特性,在变风速条件下,通过给定最佳机械转矩,直接计算最优占空比,控制风机电磁转矩,实现最大功率追踪控制.针对GP-300和FD-5型直驱式永磁风力发电机,进行功率跟踪控制仿真实验,实验结果表明所提出方法的有效性和可靠性,并具有良好的工程应用前景.     

Solution of Systems of Equalities and Inequalities by the Method of Interior Points

A version of the Newton method is presented. In constructing an auxiliary problem, constraints in the form of inequalities are not considered and the classical extremal problem is solved. Inequalities are taken into account owing to a special choice of weighted coefficients and the step length. Local convergence of the proposed algorithm is studied. The convergence of successive approximations to a relatively interior admissible point of a non-linear system is established.     

融合改进 YOLOv7 与 UNet 的编码点定位方法

针对编码点的定位存在误检率高和精准度差的问题,提出了一种融合改进 YOLOv7 与 UNet 的圆形编码点定位方 法。第1阶段使用改进的 YOLOv7 检测编码点的位置,改进的 YOLOv7 首先将DCN-v2 可变形卷积引入 ELAN 模块,提升 特征提取能力;其次把卷积块注意力模块(CBAM) 机制嵌入骨干网络使网络更关注目标特征;然后使用Focal-EloU Loss 提高 收敛速度;最后构建 OD-Cat 模块替换 ConCat 模块以提升网络检测精度。提取出每个圆形编码点的 ROI 后,第2阶段通过 UNet 分割出编码点的中心轮廓后,使用最小二乘法拟合出编码点的中心。实验结果表明,改进后的模型比原 YOLOv7 的精 确率提高了6.33%,平均精度均值(mAP) 提升了5.76%;提出的定位方法验证了在噪声、亮度不足或曝光等复杂环境下可以 准确定位出编码点的中心椭圆轮廓,在实际工业视觉测量中具备鲁棒性。     

陀螺上点的运动轨迹的研究

本文涉及陀螺上一个点的运动轨迹的研究，并用微机画出轨迹图．     

编制快走丝线切割3B程序的技巧

对传统的3B编程方法进行了新的探索和实践,在传统的3B手工编程的基础上总结出了易掌握、不易出错、高效的编程技巧即“终-终-终”;“起-终-起”的方法。通过比较教学证实,它是一种高效实用的新方法。     

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。