基于统计特征分类耦合自适应 Gamma校正的图像增强算法

为了避免图像在亮度增强时导致其颜色失真,且在局部易出现过增强等问题,设计了统计特征分类耦合自适应Gamma校正(adaptive Gamma correction,AGC)的图像增强算法,以更好提高图像细节与视觉效果。首先,将输入图像转换为HSV空间,使颜色与亮度分离,使其在增强亮度通道时不改变像素的原始颜色,有效降低颜色失真。然后,考虑不同图像的性质,利用统计信息将图像分类为高、低两种对比度,每种对比度又分为亮、暗两类。其次,基于传统的Gamma校正方法,通过对于不同类型的图像进行动态参数设置,形成一种AGC机制,从而为不同类型图像的构建了不同的增强函数,以完成不同类别图像的增强处理。实验数据表明,与当前流行的增强算法相比,所提算法具备更高的增强效果,呈现出更为自然的亮度与对比度,且保持了更多的颜色信息。     

Research on Non-Intrusive Load Monitoring Method Based on Feature Difference Enhancement

Abstract

Non-intrusive load monitoring technology is the key technology to realize smart grid construction. The identification and classification of similar electrical appliances and low-power small-current electrical appliances in non-intrusive load monitoring has always been the focus of research and the difficulty of breakthrough. This paper uses current harmonic amplitude as classification data and based on the composition characteristics of harmonic amplitude data, and the current situation of fuzzy classification of similar electrical appliances, pointing out a method for enhancing the characteristic difference of harmonic amplitude data. This method can improve the current situation that the low-power electric load is difficult to identify when the low-power electric load and the high-power electric load work together. The status quo of identification has a good effect on the classification of low power and similar electrical load. In this paper, a non-intrusive load monitoring system is built, the bus current data is collected, and a feature database is built, and the network is used to classify the feature data and finally obtain the classification result. The experimental results show that the proposed method has a significant effect on the accuracy of classification and recognition of similar electrical appliances with similar eigenvalues.     

微米铝粉氧化铝壳增强及其抗氧化性能

为增加壳核结构微米铝粉的抗氧化性能,利用同步热分析仪在氧气环境中以20℃·min-1的升温速率对4种不同粒度(2.51,5.20,13.35,24.02μm)的微米铝粉缓慢加热至650℃,实现微米铝粉氧化铝壳的增强。用热重分析技术对处理前后微米铝粉缓慢加热条件下的热响应行为进行了研究,并利用扫描电镜,X射线衍射对不同阶段的氧化产物进行分析。结果表明,氧化铝壳增强处理后,微米铝粉的氧化铝壳从无定形态变为γ态,致密性增加,同时,4种微米铝粉样品的氧化铝壳厚度增加到原始厚度的3.3~5.9倍。在保持微米铝粉高活性的条件下,氧化铝壳的相变和增厚使得微米铝粉在低于1350℃的缓慢加热过程中不被氧化性环境氧化,仍保持较高活性,抗氧化性能大幅提高,微米铝粉的缓慢氧化反应机理从阶段性增重的破壳反应机理转变为氧化铝壳增强后的氧化反应抑制机理。     

沥青稳定再生集料的试验研究

采用钠水玻璃、有机硅树脂和硅烷偶联剂强化再生集料(RA),测试未强化和强化再生集料的压碎值、磨耗值、吸水率和黏附性,优选强化剂;采用扫描电镜观察未强化和强化再生集料的表面微观形貌,探讨强化剂强化再生集料的机理;采用再生粗集料和天然细集料配制沥青稳定再生集料(ATRA),然后进行车辙试验、低温弯曲试验和水稳定性试验,测定沥青稳定再生集料的路用性能.结果表明:再生集料存在孔隙和微裂缝,致使其压碎值、磨耗值和吸水率较高,黏附性较低;有机硅树脂对再生集料综合性能强化效果优于硅烷偶联剂和钠水玻璃;有机硅树脂强化后再生集料的大部分孔隙被有效封堵,微裂缝得到一定程度上的修复,再生集料的抗压碎性能和黏附性提高,吸水性降低;当采用未强化再生粗集料时,沥青稳定再生集料的平均弯曲应变、残留稳定度和冻融劈裂强度比均不满足JTG F40—2004规范要求;当采用2%(质量分数)有机硅树脂强化再生粗集料时,沥青稳定再生集料的路用性能大幅提高,能满足JTG F40—2004规范的相关要求.     

Study on Unequal Error Protection for Distributed Speech Recognition System

At present ,the trend to ever-increasing use ofdata communication is spreading to the mobile wire-less world. The small portable devices will be used toaccess these data and cry out for i mproved user inter-faces using speechinput , whichis very i mportan…     

Data-Driven Temporal Filtering on Teager Energy Time Trajectory for Robust Speech Recognition

Data-driven temporal filtering technique is integrated into the time trajectory of Teager energy operation （TEO） based feature parameter for improving the robustness of speech recognition system against noise. Three kinds of data-driven temporal filters are investigated for the motivation of alleviating the harmful effects that the environmental factors have on the speech. The filters include： principle component analysis （PCA） based filters, linear discriminant analysis （LDA） based filters and minimum classification error （MCE） based filters. Detailed comparative analysis among these temporal filtering approaches applied in Teager energy domain is presented. It is shown that while all of them can improve the recognition performance of the original TEO based feature parameter in adverse environment, MCE based temporal filtering can provide the lowest error rate as SNR decreases than any other algorithms.     

Design and ARM‐embedded implementation of a chaotic map‐based multicast scheme for multiuser speech wireless communication

This paper proposes a chaotic map‐based multicast scheme for multiuser speech wireless communication and implements it in an ARM platform. The scheme compresses the digital audio signal decoded by a sound card and then encrypts it with a three‐level chaotic encryption scheme. First, the position of every bit of the compressed data is permuted randomly with a pseudo‐random number sequence (PRNS) generated by a 6‐D chaotic map. Then, the obtained data are further permuted in the level of byte with a PRNS generated by a 7‐D chaotic map. Finally, it is operated with a multiround chaotic stream cipher. The whole system owns the following merits: the redundancy in the original audio file is reduced effectively and the corresponding unicity distance is increased; the balancing point between a high security level of the system and real‐time conduction speed is achieved well. In the ARM implementation, the framework of communication of multicast–multiuser in a subnet and the Internet Group Manage Protocol is adopted to obtain the function of communication between one client and other ones. Comprehensive test results were provided to show the feasibility and security performance of the whole system. Copyright © 2016 John Wiley & Sons, Ltd.     

超细水雾增强与抑制甲烷/空气爆炸的机理分析

通过数值模拟方法对密闭容器内部超细水雾与甲烷/空气爆炸火焰的相互作用机理进行研究。采用大涡模型和部分预混燃烧模型分别对爆炸火焰流场和甲烷/空气燃烧过程进行计算;利用欧拉-拉格朗日方法对连续相和离散相方程进行耦合求解,实现气液两相间的质量、动量和能量的传递。通过实验验证了模型的准确性,并详细分析了水雾导致爆炸增强与抑制的机理。结果表明:水雾吸收的汽化潜热大于显热,且两者均远大于液滴的动量吸收作用;水雾吸热和汽化膨胀两种效应的共同作用导致增强和抑制爆炸两种相反的结果,液滴粒径、速度和水雾质量浓度将影响火焰面的温度、导温系数、脉动速度和湍流尺度,进而影响火焰传播速度和容器内部的热增速率。     

基于双重滤波与锐化的遥感图像增强算法

为了解决遥感卫星影像普遍存在着亮度、对比度低的问题,提出了基于滤波与锐化的遥感图像增强算法。首先,根据线性运算中核矩阵像素权值特性,设计基于中值滤波与高斯滤波的图像滤波算子。然后,采用图像一阶导数逼近技术,计算图像强度梯度,并采用图像二阶导数计算梯度的散度,从而建立基于Sobel与Laplacian的图像锐化增强算子,以增强图像对比度。最后,基于非局部均值算法,完成图像去噪,实现遥感图像平滑增强的目的。实验测试结果表明,与当前遥感图像增强技术相比,本算法拥有更高的增强质量,更好地保留了图像的亮度与色度信息。     

Multistage treatment system for raw leachate from sanitary landfill combining biological nitrification–denitrification/solar photo-Fenton/biological processes,at a scale close to industrial – Biodegradability enhancement and evolution profile of trace pollutants

A multistage treatment system, at a scale close to the industrial, was designed for the treatment of a mature raw landfill leachate, including: a) an activated sludge biological oxidation (ASBO), under aerobic and anoxic conditions; b) a solar photo-Fenton process, enhancing the bio-treated leachate biodegradability, with and without sludge removal after acidification; and c) a final polishing step, with further ASBO.