基于熵相关系数的关联性自动判别方法——COCA

数据库自管理、自调优中查询计划的自动优化是目前的关注热点。为保证优化器估值精度,用统计学方法,给出了一种基于熵相关系数的对字段关联性的自动判别的新算法——COCA。该算法有下列特点：（1）限制少,没有卡方检验的频数限制,卡方检验只有在列联表中至少有80%的格子频数大于5的情况下才可信; （2）结果多,卡方检验（CORDS）只判断字段之间是否有关联,新方法可计算字段之间双向的关联程度。实验表明, 新方法更坚固,产生更多的统计信息,可以支持后面更高效、准确地建立直方图。     

A multi-port D-R mutator using CCIIs with current followers

A multi-port D-R mutator with new current conveyors (CFCCIIs) as the four-port active element is proposed. Each CFCCII consists of a current follower added to a second-generation current conveyor (CCII). This proposed circuit is a simple configuration using CCIIs, CFCCIIs and grounded capacitances and is applied to higher order high-pass filters. This configuration can realize a superior transmission characteristic, inheriting the characteristic of the conventional LC filter. Since all the passive elements are grounded, the influence of parasitic elements of current conveyors can be reduced with this circuit configuration. As a result, this circuit is considered a suitable configuration for monolithic integration. Results obtained from the SPICE simulations show the realized filters have excellent performance and the circuit is effective.     

基于VMD和BP神经网络的轨道病害诊断方法

针对从非线性、非稳态的轨枕振动信号中提取病害特征困难的问题,文中提出一种基于变分模态分解和多尺度排列熵的轨道病害特征提取方法,并采用BP神经网络病害诊断模型进行病害识别.利用变分模态分解方法将采集到的振动加速度信号进行分解,得到若干个本征模态分量.计算这些本征模态分量的多尺度排列熵值,将其作为轨道病害的高维特征向量,以...     

Photonic Crystal Palette of Binary Block Copolymer Blends for Full Visible Structural Color Encryption

Structural color (SC) arising from a periodically ordered self-assembled block copolymer (BCP) photonic crystal (PC) is useful for reflective-mode sensing displays owing to its capability of stimuli-responsive structure alteration. However, a set of PC inks, each providing a precisely addressable SC in the full visible range, has rarely been demonstrated. Here, a strategy for developing BCP PC inks with tunable structures is presented. This involves solution-blending of two lamellar-forming BCPs with different molecular weights. By controlling the mixing ratio of the two BCPs, a thin 1D BCP PC film is developed with alternating in-plane lamellae whose periodicity varies linearly from ≈46 to ≈91 nm. Subsequent preferential swelling of one-type lamellae with either solvent or non-volatile ionic liquid causes the photonic band gap of the films to red-shift, giving rise to full-visible-range SC correlated with the pristine nanostructures of the blended films in both liquid and solid states. The BCP PC palette of solution-blended binary solutions is conveniently employed in various coating processes, allowing facile development of BCP SC on the targeted surface. Furthermore, full-color SC paintings are realized with their transparent PC inks, facilitating low-power pattern encryption.     

Rakeness with block sparse Bayesian learning for efficient ZigBee‐based EEG telemonitoring

Future healthcare systems are shifted toward long‐term patient monitoring using embedded ultra‐low power devices. In this paper, the strengths of both rakeness‐based compressive sensing (CS) and block sparse Bayesian learning (BSBL) are exploited for efficient electroencephalogram (EEG) transmission/reception over wireless body area networks. A binary sensing matrix based on the rakeness concept is used to find the most energetic signal directions. A balance is achieved between collecting energy and enforcing restricted isometry property to capture the underlying signal structure. Correct presentation of the EEG oscillatory activity, EEG wave shape, and main signal characteristics is provided using the discrete cosine transform based BSBL, which models the intra‐block correlation. The IEEE 802.15.4 wireless communication technology (ZigBee) is employed, since it targets low data rate communications in an energy efficient manner. To alleviate noise and channel multipath effects, a recursive least square based equalizer is used, with an adaptation algorithm that continually updates the filter weights using successive input samples. For the same compression ratio (CR), results indicate that the proposed system permits a higher reconstruction quality compared with the standard CS algorithm. For higher CRs, lower dimensional projections are allowed, meanwhile guaranteeing a correct reconstruction. Thus, low computational high quality data compression/reconstruction are achieved with minimal energy expenditure at the sensors nodes.     

不确定信息下的评估指标权重配置方法

为了解决在数据不确定条件下极大熵权重配置模型找寻最优权重的问题,引入云模型将具有随机性和模糊性的数据转换为定性的数字特征。以此为基础在逼近理想解排序方法架构下定义了正负理想解,基于改进的欧氏距离设计了正负向距离,提出了多评估对象相对能力量化模型,并在极大熵准则下构建了新的权重配置模型,使得评估对象相对能力大小排序的专家知识得到充分运用。通过分析采用了模拟退火算法实现最优指标权重的搜寻,解决了原先算法模型不能应用于非凸优化情形的问题,进而给出科学合理的权重配置方案。仿真实例表明,在多次迭代后找寻到最优权重熵为1.377 7,满足要求,证明了所提算法的有效性。     

Proxy-cryptocurrency payment system

The decentralized cryptocurrency which was based on block chain has been thought the most successful one in history.In the system,public keys were used as the users’ accounts which guaranteed the anonymity in real transactions.However,all the transaction information was recorded in the block chain,it was a potential threat for users’ privacy which might leak the payment information.Moreover,to avoid double-spending,it was agreed that the transaction on the target block was valid only if another k blocks were generated after the target one.The long waiting time reduced the efficiency of the payment system.A model of payment system based on a proxy-cryptocurrency was proposed,and a solution based on blind signature techniques was proposed.The scheme introduced a proxy in the payment phase,by which transaction confirmation time could be reduced and the transaction efficiency could be improved.Meanwhile,the system implements better anonymity,namely as the privacy protection function.     

对Rijndael-256算法新的积分攻击

本文对Rijndael-256密码进行分析,从比特的层面上寻找平衡性,得到了一个新的3轮积分区分器,该区分器仅需32个明文就可将3轮Rijndael-256与随机置换区分开来,并且所得密文的每一比特都是平衡的.该区分器在已知的mjndael-256积分区分器中所需明文量最少.基于新的区分器,对4至7轮Riindael-...     

机载可见光摄像机调光方法研究

针对机载光电平台可见光摄像机在执行任务时所面临的场景多样性的特点,对现有调光方法进行了研究,提出一种灰度平均值与区域信息熵相结合的调光方法.方法分为3个步骤,首先是灰度平均值法初调,获得大致清晰的图像;其次是地面人员提取感兴趣目标区域;最后是目标区域内利用信息熵法进行调光.实验结果表明,利用此方法可以获得亮度合适、目标...     

基于准正交空时分组码的高速率码字设计

为了适应通信系统对高速率大容量的需求,设计了码率为2及1.5的非正交空时分组码。在此基础上,采用简化了的条件最大似然译码方法,可以大大降低译码复杂度。仿真结果表明,该编码设计具有接近实际信道容量的特点,并且其误比特率性能优于正交及准正交编码设计。