指数分布环境因子的Bayes算法

对不同环境下指数分布环境因子的计算方法进行了讨论，并给出了检验指数分布有效性的统计方法。基于信仰推断的理论，得出环境因子的先验分布，进而对环境因子进行Dayes估计。最后运用仿真实例验证了该方法的有效性。     

无人值守式水下绞车系统研究

水下绞车是进行海洋环境监测和立体剖面测量的重要设备,介绍了水下绞车的国内外发展现状,提供了一种无人值守式水下绞车装置的结构及相关参数计算。     

利用语音技术实现互联网信息无障碍

以语音验证码为例说明了语音技术在信息无障碍中的巨大作用,分别阐述了使用字母录音方式和语音引擎方式生成语音验证码的技术原理和具体实现方式,比较了这两种技术在不同应用环境下使用的优缺点,展望了语音技术未来的发展。     

结合JND模型的交叉验证深度图质量评价方法

针对在3D视频(3DV)和自由视点视频(FVV)中传统的 图像质量评价方法不适用于深度图的问题,本文从人类视觉感知特性出发,提出一 种新的深度图 质量评估算法。首先进行交叉验证,得到待评价深度图的差值图;然后提取遮挡掩膜,去除 被遮挡的像素 点;再根据人类视觉特性,考虑背景亮度掩蔽、纹理掩蔽和边缘敏感性等因素,应用恰可察 觉失真(JND)模 型得到每个像素点的误差可视阈值;最后计算错误像素率作为度量指标评价深度图的质量 。实验结果表 明,本文提出的算法能够准确地检测错误像素,所提出的度量指标与全参考度量指标的相关 系数的平均值 为0.833,最高达到0.933,与合成虚拟视点均 方误差的相关系数的平均值为0.857,最高达 到0.928。     

基于SoC的DRM接收机ASIC设计

DRM是新一代的数字广播体制。针对DRM接收机的ASIC设计,提出了一种采用软硬件协同设计的SoC结构,给出了片上处理单元说明,SoC设计中的软硬件划分、协同设计和验证方法。最后给出了DRM接收机的性能。     

Predictive Validity of an Empirical Approach for Selecting Promising Message Topics: A Randomized‐Controlled Study

Several message topic selection approaches propose that messages based on beliefs pretested and found to be more strongly associated with intentions will be more effective in changing population intentions and behaviors when used in a campaign. This study aimed to validate the underlying causal assumption of these approaches which rely on cross‐sectional belief–intention associations. We experimentally tested whether messages addressing promising themes as identified by the above criterion were more persuasive than messages addressing less promising themes. Contrary to expectations, all messages increased intentions. Interestingly, mediation analyses showed that while messages deemed promising affected intentions through changes in targeted promising beliefs, messages deemed less promising also achieved persuasion by influencing nontargeted promising beliefs. Implications for message topic selection are discussed.     

新的场地确认方法——参考场地法

首先分析了归一化场地衰减法用于场地确认的缺点。为了克服这些缺点,CISPR 引入了新的场地确认方法——参考场地法(归一化场地衰减法的替换方法)。给出了参考场地法的原理和分析了其用于场地确认的优点。     

Adaptive robust control of fully-constrained cable driven parallel robots

In this paper, adaptive robust control (ARC) of fully-constrained cable driven parallel robots is studied in detail. Since kinematic and dynamic models of the robot are partly structurally unknown in practice, in this paper an adaptive robust sliding mode controller is proposed based on the adaptation of the upper bound of the uncertainties. This approach does not require pre-knowledge of the uncertainties upper bounds and linear regression form of kinematic and dynamic models. Moreover, to ensure that all cables remain in tension, proposed control algorithm benefit the internal force concept in its structure. The proposed controller not only keeps all cables under tension for the whole workspace of the robot, it is chattering-free, computationally simple and it does not require measurement of the end-effector acceleration. The stability of the closed-loop system with proposed control algorithm is analyzed through Lyapunov second method and it is shown that the tracking error will remain uniformly ultimately bounded (UUB). Finally, the effectiveness of the proposed control algorithm is examined through some experiments on a planar cable driven parallel robot and it is shown that the proposed controller is able to provide suitable tracking performance in practice.     

FY-4A多通道扫描辐射成像仪评价与图像合成

风云四号卫星发射后,开展了卫星在轨评价工作.采用刃边法对太阳反射通道进行在轨MTF评价,结果表明,多通道扫描辐射成像仪各反射通道在轨MTF分别达到了0.14、0.17和0.22以上,符合仪器指标要求;利用面源黑体对红外通道噪声进行评价,结果表明多通道扫描辐射成像仪性能稳定,噪声大小只与辐冷温度有关,目标温度300 K时主要红外通道噪声优于0.2 K,最优通道达到了0.06 K;为准确检验红外定标精度,采用GSICS方法对红外通道业务定标结果进行检验,GSICS检验显示定标精度优于1 K,最优通道达到了0.3 K@290 K.为充分发挥多通道扫描辐射成像仪多通道联合应用效能,根据多通道扫描辐射成像仪反射通道的响应特点,在没有符合人眼红绿蓝响应通道的情况下,提出了新的真彩色图像合成方法,生成了符合人眼效果的真彩色明显.     

A comparison of methods for linear prediction of apple flavour from gas chromatographic measurements

A comparative study of linear methods for prediction of sensory profiles from gas chromatography (GC) measurements was performed. The data used came from an experiment on the effect of storing apples at various oxygen concentrations. Partial least-squares regression and continuum regression showed the best performance, measured by a two-step cross-validation principle. The traditional prediction error sum of squares (PRESS) overestimated the predictive ability of a multiple linear regression approach. The quality of the predictions of sensory properties from GC analyses was measured in terms of a ‘panel size equivalent’. Thus, the predictions obtained in the present study were as accurate as predictions from an assessor panel consisting of 4–9 assessors, depending on the sensory property in question.