一种二维神经网络模型及其应用

本文提出一种二维神经网络模型,并将它用来实时求解一类矩阵方程.理论和模拟结果表明,该网络可以在时常数数量级(纳秒)内求出与准确解任意接近的解.     

氮激光诱导荧光光谱法对动脉粥样硬化斑块的诊断研究

采用波长为337nm的N_2分子激光作光源,利用激光诱导荧光光谱法测量血管组织的自荧光,选择波长为390nm和476nm处的荧光强度比值可以很好地鉴别动脉血管的正常组织和粥样硬化斑块,阈值为1.25。     

YBa2Cu3O7—δ超导体的磁穿透深度及相对能隙

根据测得的表面电阻R_S(T),通过在BCS理论框架中引入一个修正电导率,计算出YBa_2Cu_3O_(7-δ)(YBCO)超导材料的磁穿透深度和简约能隙与温度的相关性.引入修正电导率主要是根据YBCO超导体中电子结构表示Cu-O链对微波表面电阻的贡献.计算得到的磁穿透深度和相对能隙与实验结果符合得相当好.     

推荐一组陆用拖车载设备振动试验条件

通过某牵引拖挂装车式陆用火控雷达跑车试验,进行振动数据采集分析和处理得到垂直,纵向,横向三个方向的振动和加速度功率谱密度曲线,将之与美军标ＭＩＬ．ＳＴＤ．８１０Ｅ与国军标ＧＪＢ１５０中振动试验和加速度谱密度曲线进行比较,和工程实践对照,拓展形成一组更加符合实际条件且在实验室再现的功率谱密度曲线,并推荐将这组曲线作为陆用拖车载设备的振动试验条件。     

素域上部分bent函数的谱特征

本文在素域上讨论了部分bent函数的谱特征,得到了素域上部分bent函数的几个新的刻画,揭示了部分bent函数的平衡性、线性结构及非零谱值点之间的相互关系,并对部分bent函数的恒变线性结构进行了分类,指出了它们之间的相互关系。     

Novel pyrene-based donor–acceptor organic dyes for solar cell application

Pyrene is an alternant polycyclic aromatic hydrocarbon consisting of four fused benzene rings with a large, flat aromatic system, showing high thermal stability, extensive electron delocalization and electron accepted nature. In this work, pyrene was firstly employed as π-conjugated bridge to construct electron donor–π–electron acceptor (D–π–A) organic dyes, where diarylamine or indoline was used as donor, and cyanoacrylic acid as electron acceptor. The peryne-based dyes were employed as sensitizers in dye-sensitized solar cells, and give a short circuit photocurrent density (J_sc) of 12.1 mA/cm², an open circuit voltage (V_oc) of 0.71 V, and a fill factor (FF) of 0.71, corresponding to an overall conversion efficiency (η) of 6.1% under AM 1.5 conditions.     

多路输入大功率LED智能驱动电路系统设计

采用单片机智能控制以实现由风、光、市电多路输入的大功率LED驱动电路设计。其中,风光发电互补系统实现了不同工作情况下的最大功率点跟踪控制策略,并以模拟的风光能源展示发电特性,完善了风光互补措施。蓄电池充电控制方案分段优化充电过程,以智能化操控实现能源的最大利用。从而实现了驱动电路整体最优性能的设计。     

Heterogeneous Cooperative Localization for Social Networks

Location-aware techniques has become a hot research topic with great value in commercial and military applications. Cooperative localization, which utilizes multiple sensors in portable devices to estimate locations of the mobile users in the social networks, is one of the most promising solution for the indoor geo-location. Traditional cooperative localization methods are based on ranging techniques, they are highly dependent on the distance interpreted from the received signal strength (RSS) or time of arrival from anchors. However, a precise ranging procedure demands high performance hardware which would increase the cost to the current mobile platform. In this paper, we describes four ranging-free probabilistic cooperative localization algorithms: centroid scheme, nearest neighbor scheme, kernel scheme and AP density scheme to improve the accuracy for the indoor geo-location using current mobile devices. Since the GPS sensor embedded in the smart phone is able to provide accurate location information in the outdoor area, those mobile nodes can be used as calibrated anchors. The position of the indoor mobile node can be estimated by exchanging locations and RSSs from shared wireless access points information between the target node and anchor nodes. An empirical evaluation of the system is given to demonstrate the feasibility of these cooperative localization algorithms by reporting the results in a real-world environments, e.g. suburban area and city downtown. Moreover, we compared our results with the WiFi positioning system made by Skyhook Wireless to validate the accuracy of the proposed algorithms. Meanwhile, a Monte Carlo simulation is carried out to evaluate the performance of the cooperative algorithms under different scenarios. Results show that given the same scenario setting, the AP density scheme and kernel scheme outperform than other schemes.     

A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health

The development of the wireless body area sensor network (BASN) is imperative for modern telemedicine and m-health, but security remains a formidable challenge yet to be resolved. As nodes of BASN are expected to be interconnected on or in the human body, the body itself can form an inherently secure communication pathway that is unavailable to all other kinds of wireless networks. This article explores the use of this conduit in the security mechanism of BASN; that is, by a biometrics approach that uses an intrinsic characteristic of the human body as the authentication identity or the means of securing the distribution of a cipher key to secure inter-BASN communications. The method was tested on 99 subjects with 838 segments of simultaneous recordings of electrocardiogram and photoplethysmogram. By using the interpulse interval (IPI) as the biometric trait, the system achieved a minimum half total error rate of 2.58 percent when the IPIs measured from signals, which were sampled at 1000 Hz, were coded into 128-bit binary sequences. The study opens up a few key issues for future investigation, including compensation schemes for the asynchrony of different channels, coding schemes, and other suitable biometric traits.