基于特征互补率矩阵的图像分类方法

在基于内容的图像检索和分类系统中,图像的底层特征和高层语义之间存在着语义鸿沟,有效减小语义鸿沟是一个需要广泛研究的问题。为此,提出一种基于特征互补率矩阵的图像分类方法,该方法通过计算视觉特征互补率矩阵进而指导融合特征集的选择,利用测度学习算法得到一个合适的距离测度以反映图像高层语义的相似度。实验结果表明,该方法能有效提高图像分类精度。

含间歇性电源的发电资源互补优化研究

为最大限度实现可再生资源的合理利用和有效平缓可再生能源的波动性,实现发电的连续性和平滑性,定义了不可调资源之间的自然互补特性的定量评价指标——互补率:定义了可调资源和不可调资源之间的人工互补特性的定量评价指标——平滑度。应用互补率和平滑度指标分别研究了风、光的自然互补特性和风、光、储的人工互补特性。综合利用上述两个指标进行了含间歇性电源的发电资源互补优化策略研究。研究结果表明,互补率和平滑性指标提供了不可调资源容量的配比和可调资源的配置容量的定量分析方法,可实现含间歇性电源的发电资源综合互补优化。

风光制氢容量配置优化研究及绿氢经济性分析

针对未来大规模风光制氢问题,提出一种基于不同典型日下的风光制氢电解槽容量配置优化方法。首先对当地风光资源进行互补性分析,分析结果表明,当地风光资源互补性很好,有利于风光制氢的发展。然后分析每类典型日下的最优电解槽容量配置,并引入全年制氢相对最大收益衡量指标,从而得到了全局最优电解槽容量配置。最后分析了不同的影响因素对于绿氢制取成本的影响效果。结果表明,售氧和碳排放交易价格对绿氢成本有明显影响,并将其与传统制氢方式的成本进行了对比。当市场氧气价格为2000元/t时,风光制氢成本将对传统制氢成本产生初步竞争力;碳排放交易价格达到目前欧洲价格500元/t时,风光制氢成本已低于考虑碳捕集的煤制氢成本;当市场氧气价格达到2500元/t时,风光制氢成本将对传统技术制氢成本产生明显的竞争力。

Improving IAC Algorithm Based on Range Rate Measurement

Aim Interactive multiple model(IMM) algorithm was introduced into two? stage estimation to improve the estimating accuracy for system position and velocity.Methods The state estimation was carried out in mixed coordinates according to the nonlinear measure equation, a generalized interactive acceleration compensation(IAC) algorithm in mixed coordinate was presented. Results Simulation result shows the estimation accuracy is improved through changing measure equation in polar coordinates. Conclusion The estimation accuracy for position and velocity estimation, has been improved greatly, and the proposed algorithm has the advantage of less calculating time comparing with other multiple model methods.

一种基于MPU9250的四旋翼姿态解算改进算法

针对四旋翼飞行器MEMS惯性测量单元姿态估计过程中存在的漂移和噪声问题,提出了一种基于互补滤波的改进算法。建立了以MPU9250为姿态测量单元的四旋翼飞行器测试平台。分别在静态和动态条件下,收集和比较了不同方法获得的姿态数据,包括信息融合的卡尔曼滤波算法,传统互补滤波的数据融合,以及改进的滤波融合算法。实验结果表明,改进的姿态融合算法在不同条件下具有较高的估计精度和最终姿态角的漂移和噪声误差较小的优点,易于在低成本的飞机控制系统中实现。

Design of small-area multi-bit antifuse-type 1 kbit OTP memory

A multi-bit antifuse-type one-time programmable （OTP） memory is designed, which has a smaller area and a shorter programming time compared with the conventional single-bit antifuse-type OTP memory. While the conventional antifuse-type OTP memory can store a bit per cell, a proposed OTP memory can store two consecutive bits per cell through a data compression technique. The 1 kbit OTP memory designed with Magnachip 0.18 μm CMOS （complementary metal-oxide semiconductor） process is 34% smaller than the conventional single-bit antifuse-type OTP memory since the sizes of cell array and row decoder are reduced. And the programming time of the proposed OTP memory is nearly 50% smaller than that of the conventional counterpart since two consecutive bytes can be compressed and programmed into eight OTP cells at once. The layout area is 214 μm× 327 μ,, and the read current is simulated to be 30.4 μA.

Moving object detection method based on complementary multi resolution background models

A novel moving object detection method was proposed in order to adapt the difficulties caused by intermittent object motion,thermal and dynamic background sequences.Two groups of complementary Gaussian mixture models were used.The ghost and real static object could be classified by comparing the similarity of the edge images further.In each group,the multi resolution Gaussian mixture models were used and dual thresholds were applied in every resolution in order to get a complete object mask without much noise.The computational color model was also used to depress illustration variations and light shadows.The proposed method was verified by the public test sequences provided by the IEEE Change Detection Workshop and compared with three state-of-the-art methods.Experimental results demonstrate that the proposed method is better than others for all of the evaluation parameters in intermittent object motion sequences.Four and two in the seven evaluation parameters are better than the others in thermal and dynamic background sequences,respectively.The proposed method shows a relatively good performance,especially for the intermittent object motion sequences.

Golay Sequence Based Time-Domain Compensation of Frequency-Dependent I/Q Imbalance

A time-domain frequencydependent I/Q imbalance compensation scheme based on Golay complementary sequence for receiver is presented. By utilizing property of Golay sequence, the signal and its conjugate interference(image interference)in preamble are separated by correlation and used to estimate I/Q imbalance parameters.After that, a Least Square(LS) estimation of compensation filter is obtained and adopted in the compensation structure. Two applications of the presented algorithm are discussed: we could either estimate the channel along with I/Q imbalance or estimate the imbalance parameter only to maintain a lower cost. Both applications are testified by simulation. The results show that the image interference is significantly suppressed even in poor SNR condition, and the computation cost of the algorithms is low.

Investigation on the spatiotemporal complementarity of wind energy resources in China

Wind power resources are abundant in China,especially in northern China and eastern coastal areas of China.Nevertheless,wind energy has intermittent and unstable characteristics,which leads to random power output and limits the large-scale utilization of wind energy resources.It has been shown that geographically dispersed wind plants have obvious spatiotemporal offsetting effect.Power output from each individual site exhibits the power ups and downs.However,when we simulate power lines connecting sites over a certain region,the output from them changes slowly and rarely reaches either very low or full power.Hence using the spatiotemporal complementarity of wind resources effectively is highly beneficial to the smoothing of power supply.This paper investigates the spatiotemporal complementarity of wind resources in China based on the relevant data of wind energy resources,which are offered by China Meteorological Administration(CMA).