Real-time removal of ocular artifacts from EEG based on independent component analysis and manifold learning

Frequent occurrence of ocular artifacts leads to serious problems in interpreting and analyzing the electroencephalogram (EEG). In the present paper, a novel and robust technique is proposed to eliminate ocular artifacts from EEG signals in real time. Independent Component Analysis (ICA) is used to decompose EEG signals. The features of topography and power spectral density of those components are extracted. Moreover, we introduce manifold learning algorithm, a recently popular dimensionality reduction technique, to reduce the dimensionality of initial features, and then those new features are fed to a classifier to identify ocular artifacts components. A k-nearest neighbor classifier is adopted to classify components because classification results show that manifold learning with the nearest neighbor algorithm works best. Finally, the artifact removal method proposed here is evaluated by the comparisons of EEG data before and after artifact removal. The results indicate that the method proposed could remove ocular artifacts effectively from EEG signals with little distortion of the underlying brain signals and be satisfied the real-time application.     

基于微波透射法测量织物含水率

织物的含水率是染整生产过程中的重要指标;应用微波技术检测织物的含水率,能在线实时准确测量,且可靠性好,抗干扰能力强,不易受到织物的颜色、结构等影响,并可检测织物内部的含水率,结果更具代表性;为了快速、准确地检测织物中的水分含量,基于微波透射法,设计了一套织物含水率在线检测系统,实现了对织物含水率在线无损检测;重点讨论微波测湿原理及方法,采用最小二乘法拟合直线,获得织物湿度与衰减量之间相互关系的标定曲线;实验结果表明;设计的装置可对含水率为30%～70%的织物进行有效的测量;测量精度高于士1%.     

地域文化影响下的潍坊传统民间艺术的艺术特色

地域文化是民间艺术产生、发展的土壤,民间艺术各具特色的艺术风格深受地域文化的影响。潍坊的民间艺术内容源于日常的文化生活,艺术风格深受该地域独特的审美观念影响。     

一种可信软件设计方法及可信性评价

针对可信计算组织TCG(Trusted Computing Group)的信任链无法保障软件运行时动态可信的问题,对该信任链进行扩充,引入对软件运行时动态可信性的检测,提出了可信引擎驱动的可信软件信任链模型,并在此基础上提出了一种可信软件设计方法及可信性评价策略.通过引入描述软件可信行为轨迹的可信视图,在可信软件检查点处植入检查点传感器,将软件可信性融入软件设计中.通过对软件的完整性度量以及运行过程中软件行为轨迹的监测,实现软件的可信性保障.实验分析表明:采用该方法设计的软件能够有效地检测软件异常,并且成功检测软件异常的能力明显优于基于TCG信任链的软件.     

Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis

The quick advance in image/video editing techniques has enabled people to synthesize realistic images/videos conveniently. Some legal issues may arise when a tampered image cannot be distinguished from a real one by visual examination. In this paper, we focus on JPEG images and propose detecting tampered images by examining the double quantization effect hidden among the discrete cosine transform (DCT) coefficients. To our knowledge, our approach is the only one to date that can automatically locate the tampered region, while it has several additional advantages: fine-grained detection at the scale of 8×8 DCT blocks, insensitivity to different kinds of forgery methods (such as alpha matting and inpainting, in addition to simple image cut/paste), the ability to work without fully decompressing the JPEG images, and the fast speed. Experimental results on JPEG images are promising.     

Parameterized computational complexity of control problems in voting systems

Voting systems are common tools in a variety of areas. This paper studies parameterized computational complexity of control of Plurality, Condorcet and Approval voting systems, respectively. The types of controls considered include adding or deleting candidates or voters, under constructive or destructive setting. We obtain the following results: (1) constructive control by adding candidates in Plurality voting is W[2]-hard with respect to the parameter “number of added candidates”, (2) destructive control by adding candidates in Plurality voting is W[2]-hard with respect to the parameter “number of added candidates”, (3) constructive control by adding voters in Condorcet voting is W[1]-hard with respect to the parameter “number of added voters”, (4) constructive control by deleting voters in Condorcet voting is W[1]-hard with respect to the parameter “number of deleted voters”, (5) constructive control by adding voters in Approval voting is W[1]-hard with respect to the parameter “number of added voters”, and (6) constructive control by deleting voters in Approval voting is W[2]-hard with respect to the parameter “number of deleted voters”.     

An implicit skeleton-based method for the geometry reconstruction of vasculatures

Due to the high complexity of vascular system network, the geometry reconstruction of vasculatures from raw medical datasets remains a very challenging task. In this paper, we present a novel skeleton-based method for the geometry reconstruction of vascular structures from standard 3D medical datasets. With the proposed techniques, the geometry of vascular structures with high level of smoothness and accuracy can be reconstructed from the raw medical datasets. The experimental results and comparison with other techniques demonstrate that our method can achieve faithful and smooth vascular structures. In addition, quantitative validation has been conducted to evaluate the accuracy and smoothness of the reconstructed vessel geometry based on the proposed method.     

一种基于领域本体的稿件—审阅人相关度度量方法

随着稿件数量的不断增长,审阅人指派越来越成为会议组织者、期刊编辑和基金委员会的一项费时费力的工作,计算机辅助审阅人指派研究也由此得到了更多的关注。稿件—审阅人相关度度量是该研究中的一个重点问题。该文设计了一种基于领域本体的稿件—审阅人相关度度量方法。该方法由文档关键词提取、领域本体的自动构建及基于网络流模型的稿件—审阅人相关度计算等部分组成。初步实验表明,该方法在国家自然科学基金申请书申请代码分配的任务中取得较好表现,优于单纯基于关键词字串相似度的方法。     

一种图像放大的偏微分方程综合模型

针对传统图像放大处理过程中基于线性插值方法通常导致边缘模糊问题,分析了各向同性扩散模型和各向异性扩散模型在图像处理中的优缺点,提出了一种线性扩散和P-M方程自适应结合的图像放大综合模型。该模型对图像非平滑区域采用各向异性扩散模型处理,而平滑区域则采用各向同性扩散模型处理。实验结果表明,该综合模型在保持图像边缘锐度的同时提高了图像的清晰度,能够有效提高放大图像的主观视觉质量和客观SNR及PSNR。