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.     

国外大型调水工程渠道运行控制综述

与常规的以经验为主的运行方式相比，考虑了水动力学影响、以多渠池串联的整个渠道系统为研究对象的渠道运行控制在增加调水工程的安全性、降低运行成本、提高输水效率等方面能取得更佳的效果。国外关于调水工程渠道控制的研究起步较早，基于非线性偏微分圣维南方程组发展了多种离散化、线性化等简化方法，建立了相应的控制模型，并从不同角度确定了其控制方法以及控制算法。参考已有的研究思路和方法，总结国外渠道运行控制的成果，对我国南水北调工程的运行控制有着重要的借鉴意义。     

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.     

独立学院毕业论文管理系统设计与实现

结合独立学院实际情况,以ASP为技术支持,基于B/S结构设计了一个功能完善的网络化的毕业论文管理系统。该系统提供了毕业论文工作的各个管理功能,包括数据的输入输出、插入、更新和删除等。     

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。     

基于改进Kalman滤波l1模加速算法的语音信号重构

为求解欠定噪声方程组,需要从噪声和抽样不足的数据中重建高维离散信号。压缩感知矩阵的零空间特性保证了可以通过l1最小化来恢复信号的稀疏表示。文章在Kalman滤波l_1模算法(KML1算法)的基础上通过采用基于Aitken的delta-squared过程外推法对其进行改进,提出了一种改进的Kalman滤波l_1模加速算法(加速算法),并运用于语音信号重构中。实验结果表明:在高维情况下,KML1算法经过500次迭代后,重构的解基本接近真实值,而加速算法经过100次迭代后,重构的解与真实值基本一致;与传统的正交匹配追踪(OMP)算法相比,加速算法的恢复时间比OMP算法缩减了将近20倍。具有外部阈值的l_1最小化Kalman滤波器为x重构提供了更短的时间和更高的精确度。     

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。     

二氧化氯预氧化除铁过程中亚氯酸根作用的实验研究

将ClO_2-ClO_2~-作为整个控制体系,通过模拟试验,研究二氧化氯预氧化除铁过程中亚氯酸根浓度变化及其发挥氧化性能除铁的影响因素。结果表明:pH值是二氧化氯投加量和亚氯酸根发挥氧化效能的重要影响因素,pH值越低亚氯酸根的氧化效能越低,生成亚氯酸根越多。当pH值较高时,二氧化氯只需按照理论投加量(即[ClO_2]/[Fe~(2 )]= 0.242),亚氯酸根便能充分发挥其氧化效能,亚氯酸根不会形成累积。实验表明:铁的初始浓度为2～9mg/L,5.8≤pH≤6.6时,0.242≤[ClO_2]/[Fe~(2 )]≤0.387时,能有效地将水中的铁离子降到0.3mg/L以下。