Matching Trajectories of Anatomical Landmarks Under Viewpoint,Anthropometric and Temporal Transforms

An approach is presented to match imaged trajectories of anatomical landmarks (e.g. hands, shoulders and feet) using semantic correspondences between human bodies. These correspondences are used to provide geometric constraints for matching actions observed from different viewpoints and performed at different rates by actors of differing anthropometric proportions. The fact that the human body has approximate anthropometric proportion allows innovative use of the machinery of epipolar geometry to provide constraints for analyzing actions performed by people of different sizes, while ensuring that changes in viewpoint do not affect matching. In addition, for linear time warps, a novel measure, constructed only from image measurements of the locations of anatomical landmarks across time, is proposed to ensure that similar actions performed at different rates are accurately matched as well. An additional feature of this new measure is that two actions from cameras moving at constant (and possibly different) velocities can also be matched. Finally, we describe how dynamic time warping can be used in conjunction with the proposed measure to match actions in the presence of nonlinear time warps. We demonstrate the versatility of our algorithm in a number of challenging sequences and applications, and report quantitative evaluation of the matching approach presented.     

Error-space estimate method for generalized synergic target tracking

To improve the tracking accuracy and stability of an optic-electronic target tracking system, the concept of generalized synergic target and an algorithm named error-space estimate method is presented. In this algorithm, the motion of target is described by guide data and guide errors, and then the maneuver of the target is separated into guide data and guide errors to reduce the maneuver level. Then state estimate is implemented in target state-space and error-space respectively, and the prediction data of target position are acquired by synthesizing the filtering data from target state-space according to kinematic model and the prediction data from errorspace according to guide error model. Differing from typical multi-model method, the kinematic and guide error models work concurrently rather than switch between models. Experiment results show that the performance of the algorithm is better than Kalman filter and strong tracking filter at the same maneuver level. __________ Translated from Journal of University of Electronic Science and Technology of China, 2007, 36(2): 217–219 [译自: 电子科技大学学报]     

城市基础设施系统效益可持续性评价

将城市基础设施作为一个系统,运用数据包络分析法(DEA)判断其资源输入和效益产出的相对有效性,动态评价基础设施系统效益的可持续性,分析各时间决策单元的输入冗余和输出不足等模型参数,得出有助于决策的信息。     

新贸易保护主义环境下丝绸对外贸易的发展

阐述了新贸易保护主义在对外贸易管理及反倾销、特殊保障措施、社会责任标准和技术性壁垒等方面的主要表现形式,分析和总结了新贸易环境下对现实丝绸对外贸易的客观影响,提出了为保证行业上的贸易竞争优势和可持续发展,政府、行业协会和企业应采取的主要措施.     

论东北地区高校陶艺之发展

针对我国东北地区现代陶艺发展比较缓慢的问题,从地理环境、资源、陶艺人才引入机制等方面进行了分析和概括,简单讨论了东北地区现代陶艺的发展。     

天然短纤维/聚合物复合材料研究进展

综述了国内外有关天然短纤维增强聚合物复合材料的最新研究成果。针对天然短纤维与聚合物相容性较差及在聚合物基质中分散难这两大问题,对短纤维改性作了较详细的论述。展望了天然短纤维/聚合物复合材料的发展方向和前景。     

悬锥鳃片在静态浑水中加速泥沙沉降的试验研究

对"加鳃"与"未加鳃"两装置中在静水中细颗粒泥沙沉降进行了试验,试验表明,悬锥鳃片在静态浑水中能起到加速泥沙沉降的作用.从试验现象及分析来看,"加鳃"装置在泥沙沉降过程中出现了四个不同斜率的曲线段,加速沉降的阶段可分为开始缓慢的前期加速沉降段和后期较快的全面加速沉降段.文章就此现象分析认为细颗粒泥沙在沉降过程中加快出现的絮凝作用是关键因素,其次泥沙的结构特性、水体的水质和形成了异重流等因素也有一定的影响.     

基于深度神经网络的水声FBMC通信信号检测方法

针对传统水声滤波器组多载波(Filter Bank Multi-Carrier,FBMC)通信接收端需经过信道估计和均衡才可恢复出发送符号,系统复杂度高且信道估计精度不佳等问题.文章将深度神经网络融入到水声多载波通信当中,提出一种基于深度神经网络的水声FBMC信号检测方法.在训练阶段通过大量的数据迭代、调试超参数和优化...     

液体管道高频水力瞬变过程的数值模拟

目前在液体管道高频水力瞬变分析中,人们通常采用经典的拟稳态摩阻模型进行分析.但这种方法针对管壁切应力具有拟稳态特性的缓慢瞬变的分析是可行的,而对高频瞬变流动过程而言却不能准确预测水击压力波具体的衰减过程以及出现的波形畸变现象.介绍了一种新的考虑瞬时加速度对高频水力瞬变过程影响的非恒定摩阻模型,并结合特征线法给出了其数值解法,最后通过实例验证了该模型能比经典的拟恒定摩阻模型更为准确地模拟液体管道中高频瞬变流压力波的衰减和波形畸变.该模型对计算机的要求和计算耗时与经典的拟稳态摩阻模型相差不大,是一种具有良好工程应用潜力的液体管道高频瞬变分析数学模型.     

基于BP神经网络的液滴图像识别方法

通过CCD监测白酒和掺入50％水的白酒两种不同液体液滴的生长过程,针对最大的液滴提取特征参数,利用主成分分析技术对特征参数进行优化,确定了5项有效的特征参数。最后采用BP神经网络识别不同的液滴。结果表明：不同液体液滴的轮廓特征参数是有区别的。因此,结合模式识别的图像液滴分析技术可以应用于分析和鉴别液体。