Weight measurement using image-based pose analysis

Image-based gait analysis as a means of biometric identification has attracted much research attention. Most of the existing methods focus on human identification, posture analysis and movement tracking. There have been few investigations on measuring the carried load based on the carrier＇s gait characteristics by automatic image processing. Nevertheless, this measurement is very useful in a number of applications, such as the study of the carried load on the postural development of children and adolescence. In this paper, we investigate how to automatically estimate the carried weight from a sequence of images. We present a method to extract human gait silhouette based on an observation that humans tend to minimize the energy during motion. We compute several angles of body leaning and determine the relationship of the carried weight, the leaning angles and the centroid location according to a human kinetic study. Our weight determination method has been verified successfully by experiments.     

数字式温度传感器在冰箱检测系统中的应用

本文介绍了数字式温度传感器的工作原理、性能特征以及如何在冰箱检测系统中引入单总线技术,使用数字式温度传感器更好的实现温度的采集。     

一种求解刚体3D运动参数的鲁棒算法

提出一种基于鲁棒统计学中位数的３Ｄ运动参数估计方法，能够有效地克服由于出格点造成的粗差，并且不需任何参数初始值，整个算法计算简便，计算机模拟显示，其估计精度是令人满意的。     

节能用电设备在非正弦状态下的节电效率测量

本文指出目前供电网络中由于用电设备的非线性以及广泛采用晶闸管控制技术,造成网络波形畸变相当严重,采用理想正弦条件下定标的仪器进行用电设备功率测量必然造成大的误差,不能真正反映设备耗能及节电情况,这种现象尚未引起人们的重视.本文根据作者前期所做的工作.介绍了一种采用模拟乘法器的测量方案.较好地解决了非正弦电量的测量.     

一般动力学系统的守恒量（Ⅲ）

本文研究了分布参数的非保守力学系统的守恒律问题,将经典的Noether守恒律存在的条件-Killing方程推广到了分布参数系统,并给出了分布参数的非保守力学系统的Noether守恒律的形式,讨论了对断裂力学的有关应用。     

半参数模型约束条件下估计量的统计诊断

利用最小惩罚二乘原理构造加权惩罚平方和，导出了约束条件下，半参数模型中正规化矩阵正定时半参数平差的计算方法，用直接法得到了参数和半参数的估计量，并将此方法引入测绘领域，给出了相应的公式。     

VB+SQL快速参数查询及报表实现

通过实例介绍了VB＋SQL数据库快速参数查询及报表功能的实现，研究了参数查询。给出了如何使用ADO Command对象创建快速参数查询的方法；研究了参数报表，给出了快速参数报表的实现方法。     

南通港闸经济开发区污水处理厂设计

江苏南通港闸经济开发区污水处理厂扩建工程设计规模为5万m3/d,本次实施规模为2.5万m3/d。采用水解酸化+M BBR工艺,污泥脱水采用不经消化直接脱水压滤工艺。本文介绍了各处理单元的主要设计参数和所选用设备的技术参数。     

集成电路高精度高速度在线电阻检测

本文提出的具有粗、精测双回路的测试系统,可兼顾电阻在线检测过程中的高精度与高速度问题。该系统各器件间的信息交换满足IEEE-488标准。     

Unit roots versus other types of time heterogeneity,parameter time dependence and superexogeneity

This paper stresses the restrictive nature of the standard unit root/cointegration assumptions and examines a more general type of time heterogeneity, which might characterize a number of economic variables, and which results in parameter time dependence and misleading statistical inference. We show that in such cases ‘operational’ models cannot be obtained, and the estimation of time‐varying parameter models becomes necessary. For instance, economic processes subject to endemic change can only be adequately modelled in a state space form. This is a very important point, because unstable models will break down when used for forecasting purposes. We also discuss a new test for the null of cointegration developed by Quintos and Phillips (1993), which is based on parameter constancy in cointegrating regressions. Finally, we point out that, if it is possible to condition on a subset of superexogenous variables, parameter instability can be handled by estimating a restricted system. Copyright © 2002 John Wiley & Sons, Ltd.