健康空调器与室内空气品质

给出健康空调的定义与及健康空调应具有的附加功能，阐述这些附加功能对改善室内空气品质的重要性，分析健康空调器产品必须面对的挑战。     

深圳某写字楼室内空气品质的客观评价

本文介绍了室内空气品质目前的研究状况以及影响室内空气品质的主要的污染物及其对人体的影响，并对深圳市某写字楼室内空气品质有关参数进行实地检测，应用适合我国国情的室内空气品质客观评价的方法与评价标准对该大楼进行客观评价，得出了该楼属Ⅱ级即未污染级的结构并为物业管理单位提出了提高其室内空气品质的建议。     

提高室内空气品质的意义及措施

分析造成室内空气污染不可避免的因素，结合目前中国空调行业的现状，提出一系列的改进措施。     

实时室内空气品质的概念与控制理念

本文提出了实时室内空气品质的概念，是强调室内空气品质是一个变量，是设计、施工和运行管理多学科、多专业综合形成的一个量。污染源的控制只是一个起点的控制，而通风空调措施只是一个终点的控制，都不能解决目前的室内空气品质问题。因此本文从实时室内空气品质和概念出发，提出了过程控制的理念。     

基于神经网络的某仓储库气体质量预测系统

为了提高部队后勤系统中的信息化管理,探讨了旅团一级如何将BP神经网络方法引入到对某物资仓储库的空气质量预测工作中。着重介绍了BP神经网络以及具体实现步骤,并进行了预测数值和仪器实测数据之间的对比实验,从而为仓储库内人员物资安全研究提供了一种行之有效的新方法。     

基于四旋翼的空气质量监测系统设计与实现

针对现有空气质量监测手段不能够实现全方位、高机动、立体化监测的缺点,提出一种基于四旋翼飞行器的空气质量监测方法,设计了基于ARM的飞控及数据监测系统、基于FPGA的信号切换系统和基于Lab VIEW的地面数据监测软件。系统将空气数据监测与飞行控制有机结合在一起,设定飞行器目标点高度和位置,能够使飞行器自动飞行至目标点,实时显示当前位置空气质量数据,在实际测试中本系统能够有效完成设定任务。     

基于STC12C5A60S2的空气质量检测系统设计

针对目前严重的空气质量问题,文中介绍一种基于 STC12C5A60S2的空气质量检测系统,系统以STC12C5A60S2单片机为控制器,能够实现周围环境中粉尘颗粒物浓度测量,SO2、NO2、CO三大主要污染气体的浓度测量以及环境温度、湿度的测量,并在LCD上显示出来,最后将测量结果通过无线发送出去,从而实现多项空气质量指标的检测。文章主要介绍了整体系统结构、各传感器特性、各功能模块电路设计以及系统工作的程序流程。经过实验,系统可以实现对空气质量的全面、准确测量。     

可调谐二极管激光吸收光谱技术及其在大气质量监测中的应用

可调谐二极管激光吸收光谱(TDLAS)技术是利用二极管激光器的波长调谐特性,获得被选定的待测气体特征吸收线的吸收光谱,从而对污染气体进行定性或者定量分析.在大气痕量气体和气体泄漏的监测中,为了提高探测的灵敏度,一般会根据具体情况对激光器采取不同的调制技术如波长调制、振幅调制、频率或者位相调制等,同时和长光程吸收池相结合使用,并辅之以各种噪声压缩技术.TDLAS不仅精度较高,选择性强而且响应速度快,已经广泛用于大气中多种痕量气体的检测以及地面的痕量气体和气体泄漏的检测.报道了最近研制的一套可调谐二极管激光吸收光谱检测大气中甲烷浓度的实验装置,这套装置具有灵敏度高、检测限低(ppb量级)、易于集成为便携式痕量气体检测仪等优点,若激光器的调谐波长范围能覆盖1.3～1.8 μm或者在光路中装配几台窄范围可调谐激光器实现波长扫描范围覆盖1.3～1.8μm,则可同时实现对大气中诸多重要痕量气体如CO2、CH4、CO、CH2O、H2S、NH3、HCI、C2H2等的同步监测.     

A framework for network quality monitoring in the VoIP environment

Monitoring speech quality in Voice over IP (VoIP) networks is important to ensure a minimal acceptable level of speech quality for IP calls running through a managed network. Information such as packet loss, codec type, jitter, end‐to‐end delay and overall speech quality enables the network manager to verify and accurately tune parameters in order to adjust network problems. The present article proposes the deployment of a monitoring architecture that collects, stores and displays speech quality information about concluded voice calls. This architecture is based on our proposed MIB (Management Information Base) VOIPQOS, deployed for speech quality monitoring purposes. Currently, the architecture is totally implemented, but under adjustment and validation tests. In the future, the VOIPQOS MIB can be expanded to automatically analyze collected data and control VoIP clients and network parameters for tuning the overall speech quality of ongoing calls. Copyright © 2006 John Wiley & Sons, Ltd.     

Influence of antenna configuration on achievable throughput in real indoor propagation environment for 2-by-2 single-user MIMO in LTE-advanced uplink

This paper clarifies the influence of the antenna configuration on the achievable throughput in a real indoor propagation environment for 2-by-2 single-user (SU) multiple-input multiple-output (MIMO) in the Long Term Evolution (LTE)-Advanced uplink using single carrier-based radio access. In indoor experiments conducted in an office at walking speed, we consider four antenna configurations: co-polarized antennas with a long or small separation, cross-polarized antenna, and a distributed antenna arrangement. The experimental results show that when rank-2 MIMO spatial multiplexing is applied, the cross-polarized antenna configuration achieves a higher user throughput than the other antenna configurations. Furthermore, we show that when closed-loop rank-1 precoding is applied, the cross-polarized antenna configuration is effective in stably achieving a relatively high throughput regardless of the tilt angle of the mobile station transmitter antenna, although the other antenna configurations indicate better throughput under ideal antenna-tilt angle conditions.     

一种针对拖尾噪声的鲁棒神经网络信号检测算法

与高斯噪声相比,拖尾有更多的异常值,利用传统的神经网络不能有效的检测信号。该文提出一种基于中值滤波的鲁棒神经网络进行处理,首先利用中值滤波抑制异常值,进一步利用BP (Back Propagation) 神经网络消除残留噪声,检测目标信号。基于误差分析的实验结果表明,与传统神经网络相比,所提出的方法不仅能更好地消除拖尾噪声,有效检测信号,而且能有效检测高斯噪声中的目标信号,具有很好的鲁棒性和自适应特性。     

AdaBoost neural network and cyclopean view for no-reference stereoscopic image quality assessment

Stereoscopic imaging is widely used in many fields. In many scenarios, stereo images quality could be affected by various degradations, such as asymmetric distortion. Accordingly, to guarantee the best quality of experience, robust and accurate reference-less metrics are required for quality assessment of stereoscopic content. Most existing stereo no-reference Image Quality Assessment (IQA) models are not consistent with asymmetrical distortions. This paper presents a new no-reference stereoscopic image quality assessment metric using a human visual system (HVS) modeling and an advanced machine-learning algorithm. The proposed approach consists of two stages. In the first stage, cyclopean image is constructed considering the presence of binocular rivalry in order to cover the asymmetrically distorted part. In the second stage, gradient magnitude, relative gradient magnitude, and gradient orientation are extracted. These are used as a predictive source of information for the quality. In order to obtain the best overall performance against different databases, Adaptive Boosting (AdaBoost) idea of machine learning combined with artificial neural network model has been adopted. The benchmark LIVE 3D phase-I, phase-II, and IRCCyN/IVC 3D databases have been used to evaluate the performance of the proposed approach. Experimental results have demonstrated that the proposed metric performance achieves high consistency with subjective assessment and outperforms the blind stereo IQA over various types of distortion.     

电能质量监测系统中无线传感器网络的设计

从杆架式变压器收集的电压、电流和温度测量值通过蜂窝移动技术传送到远程监控.由于蜂窝移动技术的高成本,电能质量监测过程中受到诸多限制且数据采集间隔较长.为了缓解这些问题,文中提出了一种有线中继子系统和无线采集子系统组合的通信基础设施,变电站和监控中心之间进行有线连接,杆架式变压器和变电站之间进行无线连接,实现了成本降低并...     

基于BP神经网络的丹江口库区水质指标预测

为掌握丹江口库区水质未来的变化趋势以及预防污染事件的发生,建立了一个水质指标的预测模型。利用库区某断面自动检测站的水质指标实测参数作为学习样本,选取化学需养量（COD）、生化需养量（BOD）、pH值、氨氮（NH3-N）、总磷（TP）、总氮（TN）等指标作为预测参数,运用Levenberg-Marguatdt优化算法对学习样本进行优化。建立基于反向传播（BP）神经网络的预测模型并应用于丹江口库区水质指标。结果显示,实际检测值与预测值相时误差小于7％,该模型具有良好的可行性和有效性。     

神经网络在电解铜质量控制中的应用

依据神经网络的BP算法，以及电解铜质量控制中的一些事项，构造了一神经网络质量控制系统，初步论述了这种方法的可行性。     

Integration of image quality and motion cues for face anti-spoofing: A neural network approach

Many trait-specific countermeasures to face spoofing attacks have been developed for security of face authentication. However, there is no superior face anti-spoofing technique to deal with every kind of spoofing attack in varying scenarios. In order to improve the generalization ability of face anti-spoofing approaches, an extendable multi-cues integration framework for face anti-spoofing using a hierarchical neural network is proposed, which can fuse image quality cues and motion cues for liveness detection. Shearlet is utilized to develop an image quality-based liveness feature. Dense optical flow is utilized to extract motion-based liveness features. A bottleneck feature fusion strategy can integrate different liveness features effectively. The proposed approach was evaluated on three public face anti-spoofing databases. A half total error rate (HTER) of 0% and an equal error rate (EER) of 0% were achieved on both REPLAY-ATTACK database and 3D-MAD database. An EER of 5.83% was achieved on CASIA-FASD database.     

A New Modulation for Intrinsically Secure Radio Channel in Wireless Systems

One of the biggest challenges in RFID (radio frequency identification) large scale deployment, such as in warehouse RFID deployment, is the positioning of RFID reader antennas to efficiently locate all the tagged objects distributed at RFID reader environment. This paper has investigated a novel location sensing system based on geometric grid covering algorithm that can use any passive or active RFID standard for positioning or tracking objects inside buildings. This study involves design of RFID reader antenna network which focuses on placing the reader antennas on a grid to cover all the tags distributed at two dimensional planes and position calculation using statistical averages algorithm. The statistical averages algorithm simply computes the location coordinates of the tagged object by statistical average of the reader antenna’s location. The proposed grid of reader antennas can assist in minimizing the actual number of reader antennas required for RFID large scale deployment. The proposed prototype system is a simpler positioning system which presents the solution of placement pattern of RFID reader antennas, gives less complicated mathematical calculation, and is able to provide a high degree of accuracy. The obtained results show that the proposed location sensing system can achieve better positioning accuracy as compared to existing positioning system and in some cases accuracy improvement of about 50% can be reached.

空战多目标攻击决策综述

就近年来单机和多机协同空战多目标攻击决策的研究成果进行了总结与分析,指出了有待研究的问题和综合决策研究的优势,提出了应用影响图分析法研究多目标攻击决策问题。可为今后空战多目标攻击决策领域的研究提供综合参考。     

A channelized digital receiver design for UWB systems in a multi-path indoor environment

Due to the very wide bandwidth of UWB system, it is hard if not impossible to design high speed and high resolution ADCs with today’s technology. This problem can be solved if the received UWB signal is split into a number of subbands by power splitters, analog low-pass filters, mixers and digital filters. By doing this, each of subbands can be sampled at a fraction of effective sampling frequency. In this paper, we present a simpler channelized receiver architecture for UWB systems than previously published work. Moreover, we present a new, though more complex, channelized receiver design for UWB systems in a multipath propagation environment. We also show through simulation that this new receiver achieves very good BER performance.     

A correction of E-model in quality estimation of packetized speech signal

This letter presents correction of E-model for the quality estimation of the packetized speech signal in the case of burst packet loss. The current estimation depends on the method of calculation, i.e. on the duration of speech signal segment, which is to be packetized by one packet. This inconsistency in estimation is described, and the correction of this imperfection is proposed. It is explained that the Packet-loss Robustness Factor is dependent, besides coder, on the duration of speech signal segment, which is packetized by one packet.