Piezoelectric Transducer-Controlled Dual-Mode Switchable Bandpass Filter

A piezoelectric transducer-controlled dual-mode switchable bandpass filter is introduced. A piezoelectric transducer is used to lift up or pull down the attached dielectric substrate perturbation. When the dielectric substrate is pulled down, the perturbation excites dual modes and the dual-mode filter is on. The return loss is better than 10 dB and the insertion loss is less than 3 dB from 2.92 to 3 GHz. When the dielectric substrate is lifted up, the dual-mode resonator is unperturbed and the dual-mode filter is off. The isolation is 21 dB at 3 GHz. The on-off ratio is 18 dB     

Cloud Dynamic Scheduling for Multimedia Data Encryption Using Tabu Search Algorithm

The cloud computing is interlinked with recent and out-dated technology. The cloud data storage industry is earning billion and millions of money through this technology. The cloud remote server storage is on-demand technology. The cloud users are expecting higher quality in minimal cost. The quality of service is playing a vital role in any latest technology. The cloud user always depends on thirty party service providers. This service provider is facing higher competition. The customer is choosing a service based on two parameters one is security and another one is cost. The reason behind this is all our personal data is stored on some third party server. The customer is expecting higher security level. The service provider is choosing many techniques for data security, best one is encryption mechanism. This encryption method is having many algorithms. Then again one problem is raised, that is which algorithm is best for encryption. The prediction of algorithm is one of major task. Each and every algorithm is having unique advantage. The algorithm performance is varying depends on file type. The proposed method of this article is to solve this encryption algorithm selection problem by using tabu search concept. The proposed method is to ensure best encryption method to reducing the average encode and decode time in multimedia data. The local search scheduling concept is to schedule the encryption algorithm and store that data in local memory table. The quality of service is improved by using proposed scheduling technique.

     

基于视频流的运动人体检测和跟踪的研究实现

运动人体的检测和跟踪一直视频监控的核心部分。提出一种将检测和跟踪实时结合的跟踪方法,检测时采用背景帧差法和帧间差分法得到背景模型,跟踪时采用Kalman跟踪,将跟踪得到的人体和检测到的人体匹配。如果正确,则更新背景模型,否则继续搜索跟踪,及时更新背景模型。     

基于直角棱镜的气体传感器在能见度测量中的应用

用基于两个相同直角棱镜构成的气室,以不同的灵敏度分时测量气室的输出光强度,来测定大气消光系数,再根据科施米德(Koschmieder)定律计算大气能见度。测试结果表明,用基于直角棱镜的气室测量的数值与直接透射法所测的数值具有很好的相关性,相关系数为0.98;直角棱镜底面的轻度污脏对测量的影响可不考虑,该方法抵抗环境污染影响的能力较强,提高了长期可靠性。气室输出光束被聚焦后,用光纤束接收并传输到光电探测器,有效抑制了旁轴光束的干扰,光纤分布的不均匀性产生的附加误差小于2.0%。将暴露大气中的光学元件加热,控制了结露现象产生的影响。     

创新铸就高质量

该文回顾了质量管理发展的历史,探索了现代企业质量管理中提高产品质量的一种新实践模式,即将6sigma的分析方法与TRIZ的创新理论相结合,彻底地解决矛盾,而不是优化参数,最终达到满意的质量水平。并且通过企业的一个实际案例,来讲解具体的操作办法。     

基于BP神经网络辅助的车载组合导航算法研究

针对INS/GPS组合导航系统在GPS信号被遮挡时,GPS接收机失锁导致导航精度迅速下降的问题,提出了基于BP神经网络辅助的组合导航算法。即在GPS信号锁定的时候,采用卡尔曼滤波对INS/GPS信号进行数据融合得到实时的精确位置,同时利用组合导航输出信息对BP神经网络进行实时在线训练;一旦GPS失锁,利用之前训练好的神经网络对INS系统进行误差补偿,解决精度迅速下降问题。通过跑车实验证明,速度精度在0.2m/s以内,位置精度为25m以内,该算法对INS/GPS组合导航系统有效。     

A distributed fixed-step power control algorithm with quantizationand active link quality protection

A distributed fixed-step power control algorithm is presented. It is a simple feedback adjustment algorithm using only local information. In the ideal case where there is no power constraint, it is guaranteed that existing users will not be dropped due to admission of new users. If it is infeasible to accommodate all of them, the new user will be blocked. When the constraint on the maximum power is imposed, it is shown by simulation that blocking a new call is more probable than dropping any existing calls, if the capacity is exceeded. Besides, its convergence property is demonstrated. The convergence rate, which depends on the step size, is studied through simulation. In addition, the issue of power quantization is addressed     

Ka频段上变频模块设计

论述一种Ka频段上变频模块设计,对模块的杂散和相位噪声性能做了分析,根据分析结果,设计出合理的变频方案。滤波器采用Ansoft Designer和HFSS软件协同仿真,薄膜工艺制作,获得足够的杂散抑制度从而实现低杂散。应用取样锁相技术合成了相位噪声极低的27 GHz本振。对波导—微带过渡结构进行仿真,并给出仿真结果。从测试结果表明,模块设计实现了低杂散和低相位噪声。     

基于FPGA的DES加密算法的高性能实现

在分析DES算法原理的基础上,详细阐述一种基于VHDL描述、FPGA实现的DES加密算法系统的设计和仿真结果。该系统采用了一种基于子密钥预先计算的新型流水线设计方案,克服了传统DES流水线实现方式的缺点,使系统的密钥可动态刷新,并在硬件资源消耗有所降低的情况下,进一步提高系统的处理速度,系统最高时钟频率为222.77MHz,信息加密的速度为14.26Gb／s,是最快软件实现方式的112倍。同时系统还具有设计灵活,可靠性高,可重用性强,升级方便等特点。     

激光等离子体的非线性逆轫致吸收

:在激光与等离子体相互作用且激光的功率密度很高时 ,激光的强电场将使电子的热速度分布发生扭曲 ,从而改变了碰撞频率并导致吸收系数与激光强度相关 ,即出现非线性吸收。当激光强度较高时 ,非线性逆轫致吸收是对等离子体的加热起重要作用的机制。本文通过量子力学方法得出了非线性逆轫致吸收系数的公式 ,并对非线性逆轫致吸收系数进行了讨论。     

基于信噪歪度比的二次相位耦合信号增强新算法

提出了信噪歪度比分析法,在这个分析法中用三阶累积量切片首次定义了信噪歪度比的概念,导出了其理论计算公式。从理论分析可知:当背景噪声为对称分布噪声时,信噪歪度比为无限值;当背景噪声为非对称分布噪声时,在一定条件下,其大于等于输入信噪比。理论分析和仿真结果表明:用三阶累积量切片从非高斯非对称分布的噪声中提取二次相位(动态)耦合信号是有效的,且无需对背景噪声的分布作任何假定。这在工程实践中是非常有意义的。     

Φ4m口径凹抛物面镜折反零位补偿检验

折反射式零位补偿检验是一种综合了Offner折射式和Maksutov反射式补偿检验优点的凹非球面检验方法,补偿能力强,检测光路紧凑.大口径和大相对孔径非球面检验是制约其加工质量提高的难题,针对口径为4m、偏心率为1、顶点曲率半径为16 m的大口径凹抛物面反射镜,设计了折反射式零位补偿器.基于三级像差理论对补偿器的初始结构进行了规划和计算,采用Zemax软件对初始结构参数进行了优化,得出了补偿器的最终结构,检验光路轴向尺寸约12 m,系统优化后剩余波相差为0.005λ.设计和仿真结果表明,这种折反射式零位补偿器对大口径凹菲球面镜的加工检测是非常有利的.     

便携式智能油气检测仪设计

为了防备油气浓度超标造成的安全事故,研制了便携式智能油气检测仪。采用接触燃烧式气敏传感器进行油气检测,并增加补偿元件。用电桥电路作为测量电路,用双端输入方式连接电桥与运算放大器,对所采集的信号作放大、补偿处理。采用集成电路A/D芯片进行信号A/D转换,并在LCD数字显示屏上显示油气浓度值。设计报警电路,用C＋＋语言设计软件,采用单片机进行系统控制。气敏元件的误差补偿和数字化浓度检测有创新。该检测仪适用于石油、天燃汽等储运和使用场所。     

碳基吸收体被动锁模大功率皮秒激光器

采用垂直蒸发法分别在玻璃和石英衬底上淀积单壁碳纳米管和氧化石墨烯材料来制作碳基可饱和吸收体。利用单壁碳纳米管作为饱和吸收体,实现了Nd:YVO4激光器被动锁模,最高输出功率为3.6 W,斜率效率为31%,脉冲宽度为7.6ps,重复频率为75MHz。利用氧化石墨烯作为可饱和吸收体,实现了Nd:GdVO4激光器被动锁模,最大输出功率为1.1W,斜率效率为11.3%,脉冲宽度为4.5ps,重复频率为70MHz。     

激光二极管抽运Tm:YAP晶体实验研究

简要阐述2 μm激光光源的广泛应用需求,分析掺铥铝酸钇(Tm:YAP)晶体的能级结构和吸收光谱特性,报道了采用激光二极管(LD)端面抽运Tm:YAP晶体的方式,实现室温下2 μm激光的高效输出。在激光二极管输出功率为19 W时, 2 μm连续激光输出功率为6.5 W,光光转换效率达34％,斜率效率为47.5％。经过声光(AO)Q开关进行调制后,在重复频率10 kHz下,获得5.4 W的动态激光输出,激光单脉冲宽度为70 ns,激光二极管输出功率到2 μm激光动态输出功率的转换效率为28％,斜率效率为42％。通过实验验证了激光二极管端面抽运Tm:YAP晶体在室温下高效输出的特性。