Fusing distributional and experiential information for measuring semantic relatedness

Models of semantic relatedness have usually focused on language-based distributional information without taking into account “experiential data” concerning the embodied sensorial source of the represented concepts. In this paper, we present an integrative cognitive model of semantic relatedness. The model – semantic family resemblance – uses a variation of the co-product as a mathematical structure that guides the fusion of distributional and experiential information. Our algorithm provides superior results in a set expansion task and a significant correlation with two benchmarks of human rated word-pair similarity datasets.     

Multiconsensus of second order multiagent systems with directed topologies

A novel multiconsensus problem is introduced in multiagent systems. The states of multiple agents in each subnetwork asymptotically converge to a consistent value with information exchanges among subnetworks. The multiconsensus problem of second order multiagent systems with directed topologies is studied. Three linear protocols are proposed to solve the multiconsensus problem. Necessary and sufficient conditions are derived based on matrix theory. Simulations are provided to demonstrate the effectiveness of the theoretical results.     

AVS-M帧间预测模式快速选择算法的研究

AVS-M是我国拥有自主知识产权的数字音视频编码系列标准的移动视频标准.AVS-M采用率失真优化(RDO)技术进行帧间模式的选择,增加编码过程中宏块进行模式选择的计算复杂度.本文提出一种快速的帧间模式选择算法.该算法首先对SKIP模式提前判决,再采用二分搜索法对帧间模式的选择,对于宏块层的模式划分采用MAD(平均绝对差...     

网络机房制冷效率研究

根据相关的调查显示,在传统观念和设计标准的影响下,网络机房存在各种各样的设计缺陷,其中的一些缺陷会导致网络机房内部空间形成热点、降低制冷容错能力、制冷效率和制冷量,从而提高运行成本。网络机房的制冷效率和运行成本的大幅提高成为制约发展的重要因素。文章从网络机房面临的实际问题出发,有针对性地分析了机房设计的典型错误,阐述了其原理和影响,并根据实践经验,介绍了一些简单可行的解决方案。     

创设情景,诱发学生的主动性

课堂教学是教师给学生传授知识和技能的全过程,如何让学激发学生的学习兴趣,培养学生学习的主动性非常重要.心理学研究表明,"兴趣是学生最好的老师",兴趣能使学生在愉悦的气氛中学习,唤起学生强烈的求知欲望,是教学成功的关健.     

高职院校计算机教育探索

计算机技能型劳动人员是近阶段社会需求量非常大的实用型人才,社会各个行业都需要既懂得技术又能具体操作的高素质计算机专业劳动者.本文对如何改变部分高中生进入用人单位后,"不能干、干不了、干不好、不会干、干不长"的现象在职业高中教育需要解决的问题进行了探讨.     

Perceptual image preview

Image preview is a convenient way to browse large or multiple images on small displays. However, current signal-level image resampling algorithms may remove many features of interest in the preview image. In this paper, we propose perceptual image preview which retains more perceptual features such that users can inspect features of interest by viewing the preview image only and without zooming in. This technology has two components, structure enhancement and perceptual feature visualization. Structure enhancement enhances the image structure while suppressing subtle details using a gradient modulation method, thus making the succedent perceptual features more apparent. For perceptual feature visualization, features of interest detected in the picture is visualized on the structure enhanced preview image. We demonstrate with two examples of most commonly used image quality features, image blur and noise. The effectiveness of the proposed method is validated by experimental results.     

虚拟化背后的“精灵”

虚拟化已经为大家广为接受,而在虚拟化实施的时候,虚拟化背后的技术支持往往容易被人们忽略。     

DWT域基于位平面的图像公开水印算法

本文提出了一种新颖的DWT域公开水印算法,该算法基于位平面的思想,在小波逼近子图的分解子图中结合HVS的特性多版本嵌入二值水印图像信息,最后基于统计的原理提取水印。实验表明,此算法效率高,鲁棒性、透明性好。