数据仓库中非严格维层次的规范化研究

不规则维层次是数据仓库建模中常见的问题之一。通过对现实决策问题中可能出现的复杂维层次的分析．对可能导致OLAP工具聚集错误的非严格维层次问题进行了界定．给出了其形式化描述。为了能对非严格维层次进行规范化处理，提出了一种维层次范式，并设计了实现该范式的高效算法。     

A green radio resource allocation scheme for LTE-A downlink systems with CoMP transmission

In this paper, we propose a green radio resource allocation (GRRA) scheme for LTE-advanced downlink systems with coordinated multi-point (CoMP) transmission to support multimedia traffic. The GRRA scheme defines a green radio utility function, which is composed of the required transmission power, assigned modulation order, and the number of coordinated transmission nodes. By maximizing this utility function, the GRRA scheme can effectively save transmission power, enhance spectrum efficiency, and guarantee quality-of-service requirements. The simulation results show that when the traffic load intensity is greater than 0.7, the GRRA scheme can save transmission power by more than 33.9 and 40.1 %, as compared with the conventional adaptive radio resource allocation (ARRA) scheme (Tsai et al. in IEEE Trans Wireless Commun 7(5):1734–1743, 2008) with CoMP and the utility-based radio resource allocation (URRA) scheme (Katoozian et al. in IEEE Trans Wireless Commun 8(1):66–71, 2009) with CoMP, respectively. Besides, it enhances the system throughput by approximately 5.5 % and improves Jain’s fairness index for best effort users by more than 155 % over these two ARRA and URRA schemes.     

室外移动机器人自主充电系统研究

为了满足机器人长期自主工作的电源要求,对室外环境下工作的移动机器人自主充电问题进行了研究。设计了具有2个自由度对接功能的充电装置,提出了一种简单有效的对接策略,此外具有错位对接纠错功能。通过自主充电实验验证了充电装置的实用性和对接策略的可行性。     

Inverted polymer solar cells with a solution-processed cesium halide interlayer

We demonstrate the utility of a low-cost cesium iodide interlayer spun from an aqueous or 2-ethoxyethanol solution on ITO in inverted polymer solar cells of the structure ITO/CsI/P3HT:PCBM/MoO₃/Al, where P3HT is poly(3-hexylthiophene) and PCBM is [6,6]-phenyl-C₆₀-butyric acid methyl ester. The power conversion efficiency (PCE) of optimized cells was ～3.4%, comparable to that we obtained for inverted cells with Cs carbonate. The thickness of the CsI film was adjusted by varying the solution concentration. The concentration affected the surface morphology of P3HT:PCBM and the density of fractal-like aggregates (possibly related to the presence of Cs and film fabrication conditions) formed near the anode, as revealed by scanning electron microscopy. Auger analysis indicated a P3HT-rich surface. Optimization of the cells was achieved also by varying the thickness of the MoO₃ and the drying/annealing conditions of the active layer, as was evident from the current–voltage characteristics, external quantum efficiency spectra, and PCE. The cells with the CsI interlayer were compared additionally to cells with CsCl or CsF interlayers (with a PCE of up to ～2.7%), which were inferior to the comparable cells with Cs₂CO₃ or CsI. The surface concentrations of Cs and the halide on ITO were monitored using X-ray photoelectron spectroscopy. The iodine level was low with the Cs:I ratio exceeding 8:1. In contrast, the Cs:Cl ratio was ～1.4:1 and the Cs:F ratio was ～1:1; the Cs₂CO₃ decomposed partially, as expected. Therefore, for CsI, as is the case for Cs₂CO₃ but not for CsF, Cs–O bonds are formed at the surface. Such bonds on ITO are important in modifying the ITO work function, improving the cell performance. The results indicate that spin coating solutions of the high polarity CsI is a promising and easy approach to introduce Cs–O on ITO in inverted structures for increased electron extraction from PCBM and possibly hole extraction from the P3HT-rich surface at the anode.     

蔗渣浆成纸印刷适性的初步研究

本研究通过模拟胶版印刷，对不同蔗渣浆（化学浆、ＡＰＭＰ、ＣＭＰ）配抄的新闻印刷纸的印刷适性进行了初步的探讨，为开发蔗渣浆新闻纸提供一定的理论依据和可靠数据。     

基于梯度树的光学层析图像重建方法

光学相干层析成像技术是一种新型成像方法,在生物医学和材料等许多领域有广泛的应用.介绍了一种基于梯度树的迭代图像重建方法,讨论了输运模型下含空洞状区域的图像重建方法.证明了基于输运模型的图像重建能克服扩散方程在非散射区域的重建弊端,准确地重建光学层析图像.     

调频连续波引信高功率微波前门耦合效应研究

针对调频连续波引信在高功率微波辐照下的前门耦合问题,对引信射频前端进行场路联合仿真实验。利用仿真软件建立引信射频前端模型,采用先辐照、后注入的实验方法对引信前门耦合效应进行分析。实验结果表明：引信射频前端敏感元器件容易被耦合进入的高功率微波毁伤,当脉冲信号上升时间较短时,毁伤效果更为明显;当高功率微波源与引信距离较远时,引信的正常测距功能会受到干扰,但脉冲信号的平顶宽度变化所造成的干扰效应并不明显。     

一种用于TD-LTE系统CP类型估计的改进算法

TD-LTE系统中循环前缀(CP)有防止符号间干扰的作用,接收端只有确定CP类型才能确定准确的FFT解调窗口位置。本文提出了基于CP的相关算法和能量差算法,主要利用CP为该符号尾端数据的复制这一特性,通过不同CP长度间相关系数比值和能量差值系数比值来估计CP类型。同时考虑到算法的复杂度和DSP实现的简易程度,进一步改进了以上算法,提出了基于部分序列的相关能量差算法,仿真结果和算法原理表明了该算法的实用性和低复杂度等优点。     

Optimization for faster-than-Nyquist signaling based combining under multi-path channel

We propose a faster-than-Nyquist (FTN) signaling based combining scheme to increase the achievable rate for the single-input-single-output (SISO) system and the single-carrier system under the multi-path channel, where the combining scheme aims to combine the signals received at all symbol periods during the channel length for each transmitted symbol. An important feature of the FTN signaling based combining scheme is that the transmitter ceases the transmission for b symbol periods after transmitting each symbol. By proposing the optimization algorithm for finding the optimum b that maximizes the achievable (information) rate, we propose in this paper the optimal FTN signaling based combining scheme. We first establish the optimization problem and then present a theorem for proving the existence of the optimum b that maximizes the lower bound of the average achievable (information) rate. On the basis of this theorem, we present the steps of the proposed optimization algorithm. Numerical results are provided, and they confirm that the proposed optimization algorithm can find the optimum b.     

Reinforcement-Learning-Based Double Auction Design for Dynamic Spectrum Access in Cognitive Radio Networks

In cognitive radio networks, an important issue is to share the detected available spectrum among different secondary users to improve the network performance. Although some work has been done for dynamic spectrum access, the learning capability of cognitive radio networks is largely ignored in the previous work. In this paper, we propose a reinforcement-learning-based double auction algorithm aiming to improve the performance of dynamic spectrum access in cognitive radio networks. The dynamic spectrum access process is modeled as a double auction game. Based on the spectrum access history information, both primary users and secondary users can estimate the impact on their future rewards and then adapt their spectrum access or release strategies effectively to compete for channel opportunities. Simulation results show that the proposed reinforcement-learning-based double auction algorithm can significantly improve secondary users’ performance in terms of packet loss, bidding efficiency and transmission rate or opportunity access.