网络竞争场景下视频广告过滤行为认定反思及理路重构——基于42例司法判决的文本分析

日新月异的互联网市场孕育出花样翻新竞争行为的同时，也使竞争行为正当性认定陷入困境，视频广告过滤乃个中典型。实证考察发现司法机关在研判视频广告过滤行为性质时，遵循的是严格行为规制理念、笼统侵权行为分析模式与单一利益侧重考量方法，背离了互联网市场竞争的基本规律与反不正当竞争法的目标定位。理当纠正视频广告过滤行为认定的错误认知与不当做法，在理念上“去严苛化”，落实包容审慎规制；在模式上“去套路化”，转向具体行为具体分析；在方法上“去中心化”，确保多元利益综合权衡，实现视频广告过滤行为性质认定的理性回归。     

Reml and best linear unbiased prediction in state space models

This article takes a hierarchical model approach to the estimation of state space models with diffuse initial conditions. An initial state is said to be diffuse when it cannot be assigned a proper prior distribution. In state space models this occurs either when fixed effects are present or when modelling nonstationarity in the state transition equation. Whereas much of the literature views diffuse states as an initialization problem, we follow the approach of Sallas and Harville (1981,1988) and incorporate diffuse initial conditions via noninformative prior distributions into hierarchical linear models. We apply existing results to derive the restricted loglike-lihood and appropriate modifications to the standard Kalman filter and smoother. Our approach results in a better understanding of De Jong's (1991) contributions. This article also shows how to adjust the standard Kalman filter, the fixed inter- val smoother and the state space model forecasting recursions, together with their mean square errors, for he presence of diffuse components. Using a hierarchical model approach it is shown that the estimates obtained are Best Linear Unbiased Predictors (BLUP).     

Mathematical morphology: A useful set of tools for image analysis

In this paper we give an overview of both classical and more modern morphological techniques. We will demonstrate their utility through a range of practical examples. After discussing the fundamental morphological ideas, we show how the classic morphological opening and closing filters lead to measures of size via granulometries, and we will discuss briefly their implementation. We also present an overview of morphological segmentation techniques, and the use of connected openings and thinnings will be demonstrated. This then leads us into the more recent set-theoretic notions of graph based approaches to image analysis.     

立案功能的冲突与立法调整

刑事诉讼的启动程序具有两大基本功能,输入功能和过滤功能.在中国,立案的输入功能存在先天不足,而基于人权保障的理由,立案的过滤功能得到过分强调.立法和司法实践存在的严重脱节使这一程序的改革成为必然,对其功能的定位也必须重新认识,要淡化其案件过滤功能和由此产生的人权保障功能.     

GPS/SINS组合导航系统的多传感器最优融合算法

对GPS/SINS组合导航的工作原理和模型建立进行详细的分析,设置了两个传感器。提出一种基于信息融合的导航参数最优估计滤波方法。通过计算机仿真说明该方法可提高导航系统的计算精度和速度,有较好的容错性和环境适应性,具有实际使用价值。     

Applied state space modelling of non-Gaussian time series using integration-based Kalman filtering

The main topic of the paper is on-line filtering for non-Gaussian dynamic (state space) models by approximate computation of the first two posterior moments using efficient numerical integration. Based on approximating the prior of the state vector by a normal density, we prove that the posterior moments of the state vector are related to the posterior moments of the linear predictor in a simple way. For the linear predictor Gauss-Hermite integration is carried out with automatic reparametrization based on an approximate posterior mode filter. We illustrate how further topics in applied state space modelling, such as estimating hyperparameters, computing model likelihoods and predictive residuals, are managed by integration-based Kalman-filtering. The methodology derived in the paper is applied to on-line monitoring of ecological time series and filtering for small count data.     

基于传播模式的大学英语教学过程解读

传播模式是传播学中用来解释人类传播过程的一般结构和形式。教学是社会实践,也是一种人类传播活动。本文根据传播学中几个较有影响的传播模式来解读大学英语教学过程的特点及教学模式的演变。作者认为,每一种传播模式都有值得借鉴的地方,并能够为我们的大学英语教学提供有益的启示。英语教学要取得理想的效果,关键是要注重教学过程的完整性,排除教学过程中的各种噪音,尤其是在充分发挥学生的反馈机制和信息过滤功能的同时仍然不能忽视教师的教学主导作用。     

基于FPGA的高精度数据采集滤波系统设计

针对在强电磁干扰环境下闭环控制系统的数据采集问题,设计了弱信号的高精度数据采集滤波系统,并进行了相应的误差分析;讨论了常见数字滤波器的滤波原理及其基于现场可编程门阵列的设计实现,提出了自适应消除噪声的设计原理。其结果是系统具有单独运行、易编程、数字滤波等优点,在信号采集、控制中应用前景广泛。     

2-D FIR数字滤波的一种新结构(英文)

对2-D FIR数字滤波提出了一种有效的VLSI算法和实现结构,该算法结构在实现上大大减少了乘法器和延迟器的数目,因而有着广泛的应用前景。