Toward Energy-Efficient and Trustworthy eHealth Monitoring System

The rapid technological convergence between Internet of Things(IoT),Wireless Body Area Networks(WBANs)and cloud computing has made e-healthcare emerge as a promising application domain,which has significant potential to improve the quality of medical care.In particular,patient-centric health monitoring plays a vital role in e-healthcare service,involving a set of important operations ranging from medical data collection and aggregation,data transmission and segregation,to data analytics.This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components.More detailed discussions are then devoted to {\em data collection} at patient side,which we argue that it serves as fundamental basis in achieving robust,efficient,and secure health monitoring.Subsequently,a profound discussion of the security threats targeting eHealth monitoring systems is presented,and the major limitations of the existing solutions are analyzed and extensively discussed.Finally,a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes,along with some potential solutions.     

“至上”与“虚无”

<正>俄国画家马列维奇是"至上主义"抽象绘画流派的创始者,其绘画作品简约而纯粹,以最简单的形式——方块展现出艺术家丰富的感情世界,探索了形体、色彩与空间的关系。而同样善于运用几何形态的西班牙雕塑家奥泰萨的风格则显得冷静而克制,其雕塑作品通常看起来虚幻而抽象,没有强烈的情感表现,以高度理性化的手法展现出一种"虚无"的艺术境界。二人所专注的领域虽有不同,但他们的作品都在关注形式与其所在空间之间的复杂关系。     

Strain rate dependency and fragmentation pattern of expanding warheads

For the characterization of the behaviors of a metal material in events like expanding warheads, it is necessary to know its strength and ductility at high strain rates, around 104e105/s. The flyer plate impact testing produces the uniform stress and strain rates but the testing is expensive. The Taylor test is relatively inexpensive but produces non-uniform stress and strain fields, and the results are not so easily inferred for material modeling. In the split-Hopkinson bar(SHB), which may be used in compression, tension and torsion testing, the strain rates never exceeds 103/s. In the present work, we use the expanding ring test where the strain rate is 104e105/s. A streak camera is used to examine the expanding ring velocity, and a water tank is used to collect the fragments. The experimental results are compared with the numerical simulations using the hydrocodes AUTODYN, IMPETUS Afea and a regularized smooth particle(RSPH) software. The number of fragments increases with the increase in the expansion velocity of the rings. The number of fragments is similar to the experimental results. The RSPH software shows much the same results as the AUTODYN where the Lagrangian solver is used for the ring. The IMPETUS Afea solver shows a somewhat different fragmentation characteristic due to the node splitting algorithm that induces pronounced tensile splitting.     

Implement Obligations Seriously, Enjoy Rights Fully Make Active Countermeasure to the Barrier of Foreign Technology Trade

December 11th, 2006 is the fifth anniversary of China's entry into WTO. Over the past five years, what AQSIQ has done in implementing the obligations and enjoying the rights as a member of WTO? How's the performance? Facing with the current complicated barrier of technology trade worldwide, how will China reply to it? For these questions, reporters have made a special interview with Li Changjiang, Minister of AQSIQ.     

基于矩阵分解双线性池化的多模态融合虚假新闻检测

现有的大多数虚假新闻检测方法将视觉和文本特征串联拼接,导致模态信息冗余并且忽略了不同模态信息之间的相关性。为了解决上述问题,提出一种基于矩阵分解双线性池化的多模态融合虚假新闻检测算法。首先,该算法将多模态特征提取器捕捉的文本和视觉特征利用矩阵分解双线性池化方法进行有效融合,然后与虚假新闻检测器合作鉴别虚假新闻;此外,在训练阶段加入了事件分类器来预测事件标签并去除事件相关的依赖。在Twitter和微博两个多模态谣言数据集上进行了对比实验,证明了该算法的有效性。实验结果表明提出的模型能够有效地融合多模态数据,缩小模态间的异质性差异,从而提高虚假新闻检测的准确性。     

物联网在塞尔维亚大坝监测和管理中的应用

主要论述了物联网在塞尔维亚大坝监测和管理中的应用。因其具有发电功效,水电站大坝极具重要性,但也应重视与之相关的风险。为在塞尔维亚大坝管理中利用与大坝设施有关的信息,需要对这些信息进行整合。基于现有的系统,开发了一套信息系统,其中使用了智能网络传感器。笔者旨在介绍物联网在特定大坝安全管理系统中的应用可能性。为能纳入大量的智能传感器,定义了一个新的与监测网络中的传感器进行通信的数据采集模块。该系统能在安全指数偏离预期值时及时提供预警。     

维吾尔语的重音检测

根据维吾尔语词重音的位置规律进行音节级标注,提取不同的特征参数（能量、基频等）,对各个特征参数作单流、分流及特征级融合识别实验,对比分析各特征参数对重音检测识别率的影响。对融合后的高维单流特征采用主成分分析作降维、去冗余处理,并作识别实验。参照识别精确率结合语音语言学知识对实验结果进行分析。     

数据库在词频统计中的应用

由于语言信息具有大数据量、随机性等特征,在语言学研究中常引进统计学方法来定量分析,以确定语言现象的基本特征,通过揭示数量关系来帮助判定语言系统之间的关系。本文选用现代维吾尔语中常用的发生语音弱化的词汇,建立一个语料库(弱化规则库),利用传统语言学,计算语言学和统计学相结合的方法对语料进行统计分析,实现了维吾尔语中生活常用词的词频统计分析,考察了维吾尔语词汇中的弱化情况和词频统计。     

芦苇烧碱-蒽醌浆生物漂白的研究

对芦苇烧碱-蒽醌浆进行漆酶/介体体系脱木素处理结合过氧化氢漂序进行漂白。结果表明,分别利用三种介体HBT、VIO和NHA辅助漆酶脱木素,导致浆的白度均有不同程度的降低,降低的幅度与介体种类和用量有关。在相同浓度时,浆白度的降低幅度随介体的氧化还原电势的增大而增大。根据过氧化氢漂白的结果,可以认为LMS-QP最佳处理条件为使用介体NHA,用量为0.5%,漂白时间为2 h。对用2%VIO为介体脱木素后的浆残余木素分析表明,经过漆酶/介体体系处理浆料,浆残余木素中的羰基含量相对提高。     

浅谈房地产企业施工项目成本管理

对房地产企业施工项目进行高效的成本控制管理是房地产企业面临的问题,本文从房地产企业的角度出发,详细阐述了房地产施工项目成本控制程序和项目成本控制的主要措施。