A Subcarriers Allocation Scheme for Cognitive Radio Systems Based on Multi-Carrier Modulation

Cognitive radio (CR) is a dynamic spectrum access technology as a solution to spectrum under-utilization problem in some licensed bands. Operating over an exceedingly wide spectrum, CR systems usually adopt multi-carrier modulation (MCM) to implement flexible channelization. Consequently, efficient channel allocation scheme becomes extremely important to an MCM based CR (MCM-CR) system. In this paper, a maximum likelihood detection model is developed to detect the presence and locations of licensed users (LUs) signals in the frequency domain. Performance of the detection model, including the optimal detection region, detection probability and false alarm probability, is analyzed. A one-order two-state Markovian chain model is proposed to predict channel status information. In particular, a novel subcarrier allocation scheme for MCM-CR systems is proposed, taking into account the confidence of channel estimation, quality of services (QoS) of rental users (RUs) and throughput. To validate the analytical results, simulations have been conducted to show effectiveness of the proposed scheme.     

Uncertainty analysis and allocation of joint tolerances in robot manipulators based on interval analysis

Many uncertain factors influence the accuracy and repeatability of robots. These factors include manufacturing and assembly tolerances and deviations in actuators and controllers. The effects of these uncertain factors must be carefully analyzed to obtain a clear insight into the manipulator performance. In order to ensure the position and orientation accuracy of a robot end effector as well as to reduce the manufacturing cost of the robot, it is necessary to quantify the influence of the uncertain factors and optimally allocate the tolerances. This involves a study of the direct and inverse kinematics of robot end effectors in the presence of uncertain factors. This paper focuses on the optimal allocation of joint tolerances with consideration of the positional and directional errors of the robot end effector and the manufacturing cost. The interval analysis is used for predicting errors in the performance of robot manipulators. The Stanford manipulator is considered for illustration. The unknown joint variables are modeled as interval parameters due to the inherent uncertainty. The cost-tolerance model is assumed to be of an exponential form during optimization. The effects of the upper bounds on the minimum cost and relative deviations of the directional and positional errors of the end effector are also studied.     

五氧化二钽薄膜的制备及其I-U特性

本文利用脉冲直流反应磁控溅射的方法制备了五氧化二钽 (Ta2 O5)薄膜 ,俄歇电子能谱仪测试了薄膜的成分含量 ,椭偏仪测试了Ta2 O5薄膜的厚度和折射率 ,XRD分析了薄膜的晶体结构 ,并且分别研究了氧气含量、基底温度等成膜工艺对薄膜的影响。研究结果表明薄膜的成分主要是由氧气含量决定的。利用金属 绝缘体 (介质膜 ) 金属 (MIM)结构初步对Ta2 O5薄膜进行了电学性能的测试 :皮安电流电压源测试了薄膜的I U特性 ,制备出的薄膜折射率在 2 1～ 2 2 ,MIM的I U特性曲线显示了较好的对称性和低的漏电流密度     

生产装置在线模拟与优化技术的应用

概述了以通用软件为基础开发化工生产装置严格在线模拟与优化系统的过程，介绍了在线模型的５个层次及其特点，以合成氨为例说明了在线模型的运行和应用情况。     

可调谐钛宝石双波长激光在β－BaB_2O_4晶体中和频

根据ＢＢｏ晶体Ｓｅｌｌｍｅｉｅｒ方程确定的折射率，计算了在钛宝石激光可调谐波段的和频相位匹配角。结果与实验基本一致。实验发现了４０７．３～３８４．６ｎｍ可调谐的紫－紫外相干光。     

基于极化不变量的飞机目标识别

基于宽带毫米波极化雷达体制背影，通过极化不变量之一的去极化系数，研究了飞机目标的极化散射特性，并提取了极化特征，设计了飞机目标的分类或识别器结构，它能对五种飞机目标进行有效的分类或识别。     

COIL中BHP浓度对发生O_2(~1△)的影响

本文实验研究了BHP的浓度对产生O2（1△）的影响。实验结果表明：当BHP浓度大于3.5M时，Cl2利用率以及O2（1△）的产率将不依赖于BHP浓度的变化而变化，同时，实验结果表明，使用低浓度的BHP对COIL的操作是可行的。     

VSP旅行时反演应用于VSP—CDP转换

非零偏移距垂直地震剖面(VSP)模型的制作是非零偏移距VSP资料处理的关键环节之一,是VSP-CDP转换的基础。本文试用旅行时反演修正非零偏移距VSP的模型,以加速模型的制作过程,提高非零偏移距VSP的处理速度。用合成VSP资料试算表明:旅行时的随机误差对模型的制作影响不大;只要能较准确地确定界面位置,用旅行时反演修改制作非零偏移VSP模型是可行的。本文还探讨了初始模型的不同选择方法,并将旅行时反演用于实际VSP资料的处理。结果表明,大大地节省了非零偏移距VSP资料的处理时间。     

旧工业建筑的再利用

旧工业建筑与其他旧建筑物相比,具有建筑主体结构坚固,空间高大灵活;体量大,拆除或新建对环境造成的影响大;具有其独特的设计理念和美学价值等特点,从而成为旧建筑再利用过程中一种重要的建筑类型。 本文通过对101厂房再利用案例设计过程的分析,对旧工业建筑再利用的目标、更新程序、方式、策略等方面进行具有可操作性和推广性的探索。     

基于Shapley-DS理论的城市电网规划评价

针对城市电网规划评价方法中专家评价法、经济分析法等的一些不足,提出基于Shapley-DS理论的城市电网规划评价。该方法将Shapley指数和DS理论相结合,形成基于DS理论重要程度不同的证据的合成。所提出的方法可以有效处理相关性、重要性以及冲突不大的证据的合成,从而为城市电网规划评价提供了新的视角。