合肥市铜陵路桥景观设计研究

铜陵路桥是合肥市一座典型的景观桥梁.通过阐述景观桥梁的定义和设计原则,分析得出铜陵路桥的景观设计原则主要落实在:桥梁造型,色彩的引用与搭配,夜景方案设计及景观、功能与人性化的结合四个方面,并且从上述四个方面细致的分析了铜陵路桥景观方案的设计.     

AutoCAD中多义线的坐标标注

文章提出在AutoCAD图形中,通过选择实体多义线的方式对多义线所有节点自动进行坐标标注的方法,该方法在极大提高多义线坐标标注效率的同时,更保证了标注坐标的正确性.     

Scalable classification by clustering： Hybrid can be better than Pure

The problem of scalable classification by clustering in large databases was discussed. Clustering based classification method first generates clusters using clustering algorithms. To classify new coming da-ta points, it finds the κ nearest clusters of the data point as neighbors, and assign each data point to the dominant class of these neighbors. Existing algorithms incorporated class information in making clustering decisions and produced pure clusters （each cluster associated with only one class）. We presented hybrid cluster based algorithms, which produce clusters by unsupervised clustering and allow each cluster associ- ated with multiple classes. Experimental results show that hybrid cluster based algorithms outperform pure ones in both classification accuracy and training soeed.     

基于NB-IoT技术的智能LED灯杆监控系统的研制

针对传统LED灯杆在远程监控、自动巡检、实时单灯调控、故障定位处理等方面存在的问题,本文提出基于窄带物联网(narrow band internet of things,NB-IoT)技术的智能LED灯杆监控系统的研制方案,采用STM32L151单片机作为主控芯片,控制多种传感器采集路灯信息,通过NB-IoT模块与核心...     

基于ANSYS的大跨度斜拉桥非线性成桥索力优化研究

将有限元计算与优化设计分析相结合,在索力变化对结构响应和目标函数敏感性分析的基础上,综合考虑结构内力、线形控制条件,提出一种全过程计入结构几何非线性影响的大跨斜拉桥合理成桥索力优化方法,采用一阶分析法对成桥索力进行迭代优化.基于ANSYS的优化分析模块,对一大跨斜拉桥成桥索力进行了计算,验证了方法的正确性和有效性.     

以木聚糖为抗菌剂的木质地板抗菌性能

随着生活水平的提高,人们越来越重视室内家居环境的健康、环保问题.因此,研究、开发抗菌实木地板具有现实意义.采用贴膜法检测抗菌地板的抗菌性能:以木聚糖为抗菌剂,用8%浓度溶液浸泡杨木单板,接种一定数量的大肠杆菌和金色葡萄球菌.经过一段时间培养后,检测地板细菌数量.结果表明:经过木聚糖溶液处理的地板对大肠杆菌和金色葡萄球菌的抗菌率为73.58%和90.09%,抗菌等级达到Ⅱ级.     

迹为整数的3×3阶正交矩阵的谱

讨论了3×3阶正交矩阵的特征值和迹的关系,证明了迹为整数的3×3阶正交矩阵的谱可由迹确定,为应用广泛的3×3阶正交矩阵的谱的计算提供了简单实用的方法.     

A 12-bit 250-MS/s Charge-Domain Pipelined Analog-to-Digital Converter with Feed-Forward Common-Mode Charge Control

A feed-forward Common-Mode(CM) charge control circuit for a high-speed Charge-Domain(CD)pipelined Analog-to-Digital Converter(ADC) is presented herein.This study aims at solving the problem whereby the precision of CD pipelined ADCs is restricted by the variation in input CM charge,which can compensate for CM charge errors caused by a variation in CM charge input in real time.Based on the feed-forward CM charge control circuit,a 12-bit 250-MS/s CD pipelined ADC is designed and realized using a 1 P6 M 0.18-μm CMOS process.The ADC achieved a Spurious Free Dynamic Range(SFDR) of 78.1 d B and a Signal-to-Noise-and-Distortion Ratio(SNDR) of 64.6 d B for a 20.1-MHz input:a SFDR of 74.9 d B and SNDR of 62.0 d B were achieved for a 239.9-MHz input at full sampling rate.The variation in signal-to-noise ratio was less than 3 d B over a 0–1.2 V input CM voltage range.The power consumption of the prototype ADC is only 85 m W at 1.8 V supply,and it occupies an active die area of 2.24 mm~2.     

Side-Channel Attacks in a Real Scenario

Existing Side-Channel Attacks(SCAs) have several limitations and, rather than to be real attack methods,can only be considered to be security evaluation methods. Their limitations are mainly related to the sampling conditions, such as the trigger signal embedded in the source code of the encryption device, and the acquisition device that serves as the encryption-device controller. Apart from it being very difficult for an attacker to add a trigger into the original design before making an attack or to control the encryption device, there is a big gap in the capacity of existing SCAs to pose real threats to cipher devices. In this paper, we propose a new method, the sliding window SCA(SW-SCA), which can be applied in scenarios in which the acquisition device is independent of the encryption device and for which the encryption source code requires no trigger signal or modification. First,we describe the main issues in existing SCAs, then we theoretically analyze the effectiveness and complexity of our proposed SW-SCA —a method that can incorporate a sliding-window mechanism into almost all of the existing non-profiled SCAs. The experimental results for both simulated and physical traces verify the effectiveness of the SW-SCA and the appropriateness of its theoretical complexity.     

Bidirectional Feedback Dynamic Particle Filter with Big Data for the Particle Degeneracy Problem

Particle Filter(PF) is a data assimilation method to solve recursive state estimation problem which does not depend on the assumption of Gaussian noise, and is able to be applied for various systems even with non-linear and non-Gaussian noise. However, while applying PF in dynamic systems, PF undergoes particle degeneracy,sample impoverishment, and problems of high computational complexity. Rapidly developing sensing technologies are providing highly convenient availability of real-time big traffic data from the system under study like never before. Moreover, some sensors can even receive control commands to adjust their monitoring parameters. To address these problems, a bidirectional dynamic data-driven improvement framework for PF(B3 DPF) is proposed.The B3 DPF enhances feedback between the simulation model and the big traffic data collected by the sensors,which means the execution strategies(sensor data management, parameters used in the weight computation,resampling) of B3 DPF can be optimized based on the simulation results and the types and dimensions of traffic data injected into B3 DPF can be adjusted dynamically. The first experiment indicates that the B3 DPF overcomes particle degeneracy and sample impoverishment problems and accurately estimates the state at a faster speed than the normal PF. More importantly, the new method has higher accuracy for multidimensional random systems.In the rest of experiments, the proposed framework is applied to estimate the traffic state on a real road network and obtains satisfactory results. More experiments can be designed to validate the universal properties of B3 DPF.