Real-Time Traffic Signal Timing for Urban Road Multi-Intersection

this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time signal timing model (non-fixed cycle and non-fixed split) is built with the Webster split optimal model. At last, the simulated results, which are compared with conventional model, manifest the promising properties of proposed model.

Low-Power Operational Amplifier for Real-Time Signal Processing System of Micro Air Vehicle

A low-power complementary metal oxide semiconductor（CMOS） operational amplifier （op-amp） for real-time signal processing of micro air vehicle （MAV） is designed in this paper.Traditional folded cascode architecture with positive channel metal oxide semiconductor（PMOS） differential input transistors and sub-threshold technology are applied under the low supply voltage.Simulation results show that this amplifier has significantly low power,while maintaining almost the same gain,bandwidth and other key performances.The power required is only 0.12 mW,which is applicable to low-power and low-voltage real-time signal acquisition and processing system.

Real-Time Discrete Adaptive Control of Robot Arm Based on Digital Signal Processing

A discrete model reference adaptive controller of robot arm is obtained by integrating the reduced dynamic model of robot, model reference adaptive control （MRAC） and digital signal processing （DSP） computer system into an electromechanical system. With the DSP computer system, the control signal of each joint of the robot arm can be processed in real time and independently. The simulation and experiment results show that with the control strategy, the robot achieved a good trajectory following precision, a good decoupling performance and a high real-time adaptivity.

Stochastic resonance in a gain-noise model of a single-mode laser driven by pump noise and quantum noise with cross-correlation between real and imaginary parts under direct signal modulation

Stochastic resonance （SR） is studied in a gain-noise model of a single-mode laser driven by a coloured pump noise and a quantum noise with cross-correlation between real and imaginary parts under a direct signal modulation. By using a linear approximation method, we find that the SR appears during the variation of signal-to-noise ratio （SNR） separately with the pump noise self-correlation time τ, the noise correlation coefficient between the real part and the imaginary part of the quantum noise λq, the attenuation coefficient γ＇ and the deterministic steady-state intensity I0. In addition, it is found that the SR can be characterized not only by the dependence of SNR on the noise variables of and λq, but also by the dependence of SNR on the laser system variables of γ and I0. Thus our investigation extends the characteristic quantity of SR proposed before.

Acceleration of optical coherence tomography signal processing by multi-graphics processing units

A multi-GPU system designed for high-speed,real-time signal processing of optical coherencetomography(OCT)is described herein.For the OCT data sampled in linear wave numbers,themaximum procesing rates reached 2.95 MHz for 1024-OCT and 1.96 MHz for 2048-OCT.Data sampled using linear wavelengths were re-sampled using a time-domain interpolation method and zero-padding interpolation method to improve image quality.The maximum processing rates for1024-OCT reached 2.16 MHz for the time-domain method and 1.26 MHz for the zero-paddingmethod.The maximum processing rates for 2048-0CT reached_1.58 MHz,and 0.68 MHz,respectively.This method is capable of high-speed,real-time processing for O CT systems.

Real-time measurement of high rotational projectile axial acceleration based on 2-axis acceleration sensor

The real-time measurement principle of high rotational projectile＇s angular velocity based on 2-axis acceleration sensor and the axial acceleration measurement error caused by the installation error are discussed.The 2-axis acceleration sensor is applied to measure the high rotational projectile＇s angular velocity and the measurement value of axial acceleration,the axial acceleration of the high rotational projectile equals the measurement value of axial acceleration subtracting the centrifugal acceleration component,so that the high-accuracy real-time measurement of axial acceleration is realized.The memory test has confirmed the strike tally of the theoretical analysis and the test result.The measurement technique can satisfy the high-accuracy measurement of the high rotational projectile axial acceleration in the self-determination course correction fuze projectile.

Implementation of GPR Signals De-Noising Based on DSP

An important issue of ground-penetrating radar （GPR） signals analysis is de-noising thai is the guarantee of acquiring good detecting effect. The paper illustrates a successful application of digital single processor （DSP） based on wavelet shrinkage algorithm. In order to realize real-time GPP, signals analysis, some key issues are discussed such as the realization of fast wavelet transformation, the selection of CPU chip and the optimization of data movement. Experimenial results show that the DSP based application not only basically meets the real-time requirement of GPP, signals analysis, but also assures the quality of the GPR signals analysis.

Linear Prolate Functions for Signal Extrapolation with Time Shift

We propose a low complexity iterative algorithm for band limited signal extrapolation. The extrapolation method is based on the decomposition of finite segments of the signal via truncated series of real-valued linear prolate functions. Our theoretical derivation shows that given a truncated series (up to a selectable value) of prolate functions, it is possible to extrapolate the band limited function elsewhere if each extrapolated portion of the function is subject only to moderate truncation errors that we quantify in this paper. The effects of different sources of errors have been analyzed via extensive simulations. We have investigated a property of the signal decomposition formula based on linear prolate functions whereby the integration interval does not need to be symmetric with respect to the origin while time-shifted prolate functions are used in the series.

Computationally efficient direction finding using polynomial rooting with reduced-order and real-valued computations

The root multiple signal classification（root-MUSIC） algorithm is one of the most important techniques for direction of arrival（DOA） estimation. Using a uniform linear array（ULA） composed of M sensors, this method usually estimates L signal DOAs by finding roots that lie closest to the unit circle of a（2M-1）-order polynomial, where L 〈 M. A novel efficient root-MUSIC-based method for direction estimation is presented, in which the order of polynomial is efficiently reduced to 2L. Compared with the unitary root-MUSIC（U-root-MUSIC） approach which involves real-valued computations only in the subspace decomposition stage, both tasks of subspace decomposition and polynomial rooting are implemented with real-valued computations in the new technique,which hence shows a significant efficiency advantage over most state-of-the-art techniques. Numerical simulations are conducted to verify the correctness and efficiency of the new estimator.

2-D Direction-of-arrival Estimation of Real-valued Sources

A new method is presented to estimate two-dimensional （2-D） Direction-of-Arrival （DOA） angles of narrowband real-valued signals impinging on a L-shape Arrays（LA）. The basic idea of the proposed method is to increase both the effective aperture size and the number of sensors by employing the conjugate invariance property of real-valued signals. Thus, the proposed method can provide a more precise DOA and detect more signals than the Cross-Correlation Matrix Method （CCMM）. Numerical simulation results are presented to support the theory.

Simulation of large-scale numerical substructure in real-time dynamic hybrid testing

A solution scheme is proposed in this paper for an existing RTDHT system to simulate large-scale finite element （FE） numerical substructures. The analysis of the FE numerical substructure is split into response analysis and signal generation tasks, and executed in two different target computers in real-time. One target computer implements the response analysis task, wherein a large time-step is used to solve the FE substructure, and another target computer implements the signal generation task, wherein an interpolation program is used to generate control signals in a small time-step to meet the input demand of the controller. By using this strategy, the scale of the FE numerical substructure simulation may be increased significantly. The proposed scheme is initially verified by two FE numerical substructure models with 98 and 1240 degrees of freedom （DOFs）. Thereafter, RTDHTs of a single frame-foundation structure are implemented where the foundation, considered as the numerical substructure, is simulated by the FE model with 1240 DOFs. Good agreements between the results of the RTDHT and those from the FE analysis in ABAQUS are obtained.

基于云计算的农业机器人远程实时控制系统研究

首先,介绍了农业机器人软硬件平台,建立了其移动模型;然后,基于云计算设计了远程实时控制系统;最后,实现了农业机器人远程实时控制和通信系统,操作人员可以通过遥操作实现对该机器人的远程控制。实验结果表明:农业机器人能够按照操作指令从起点A行走到终点B,且系统具有延迟低、灵活性较好等优点,具备一定的可靠性和可行性。

羟基红花黄色素A通过调控环氧合酶2/前列腺素E_(2)信号通路减轻大鼠脑缺血再灌注损伤

目的观察羟基红花黄色素A(HSYA)对环氧合酶2(COX-2)/前列腺素E_(2)(PGE_(2))信号通路的影响,探讨HSYA对脑缺血再灌注损伤(CIRI)的保护机制。方法90只雄性SD大鼠随机分为假手术组(S组)、手术组(CIRI组)、HSYA组和塞来昔布组(C组),HSYA组进一步分为HSYA低剂量组(HSYA-L组)、HSYA中剂量组(HSYA-M组)和HSYA高剂量组(HSYA-H组),每组15只。线栓法制备脑缺血再灌注损伤模型。各组大鼠于术前30 min腹腔注射给药,HSYA各组分别给予HSYA 10、15、25 mg/kg,C组给予塞来昔布40 mg/kg,S组和CIRI组给予等量的生理盐水。各组大鼠模型制作苏醒后立刻进行神经功能学评分,再灌注24 h时进行脑梗死体积检测,同时Nissl染色观察神经细胞损伤,Real-time PCR和Western blotting检测COX-2 mRNA和蛋白的变化,ELISA检测PGE_(2)、肿瘤坏死因子α(TNF-α)和白细胞介素(IL)-1β的变化。结果与S组比较,CIRI组神经功能学评分显著升高(P<0.05),脑梗死体积显著增加(P<0.05),神经细胞损伤较重,数目显著降低(P<0.05),COX-2 mRNA和蛋白的表达显著增多,同时PGE_(2)、TNF-α和IL-1β的表达也显著增多(P<0.05);与CIRI组比较,HSYA组及C组神经功能学评分明显降低(P<0.05),脑梗死体积明显减少(P<0.05),神经细胞损伤减轻,数目明显增加(P<0.05),COX-2 mRNA和蛋白及PGE_(2)、TNF-α和IL-1β的表达均明显下降(P<0.05),且HSYA各组之间及HSYA-L组和HSYA-M组与C组比较差异均较显著(P<0.05),而HSYA-H组与C组比较差异无显著性(P>0.05)。结论HSYA减轻缺血性脑卒中再灌注损伤可能与抑制COX-2/PGE_(2)信号通路有关。

微小RNA-199a-5p保护大鼠脑缺血后血-脑屏障完整性

目的探讨微小RNA(miR)-199a-5p保护脑缺血后血-脑屏障(BBB)完整性的机制。方法通过SPF级成年雄性SD大鼠建立永久性大脑中动脉闭塞(MCAO)模型,48只大鼠随机分为假手术组、模型组、MCAO+miR-199a-5p组和MCAO+miR-199a-5p阴性对照组,每组12只。应用Ludmila Belayev 12分评分法评估大鼠的神经行为学表现;采用Evans蓝染色检测脑缺血后BBB的完整性;免疫荧光染色检测脑缺血后细胞凋亡;Western blotting技术检测claudin-5、磷脂酰肌醇-3激酶调节亚基2(PIK3R2)、p-Akt、Akt和血管内皮生长因子(VEGF)-A的蛋白表达;利用Real-time PCR检测脑缺血半暗带、梗死区miR-199a-5p、claudin-5及VEGF-A表达水平。结果MiR-199a-5p mimic干预增强MCAO大鼠本体感觉和运动能力。MiR-199a-5p降低脑缺血后PIK3R2的表达,激活Akt信号通路,并增加缺血半暗带中claudin-5和VEGF-A的表达。此外,miR-199a-5p减轻了脑缺血后的炎症。MiR-199a-5p降低脑缺血后BBB渗透性,减少神经细胞凋亡。结论MiR-199a-5p可降低缺血性脑卒中后PIK3R2的表达,激活Akt信号通路,降低炎性细胞因子的表达,减轻缺血性脑卒中对BBB的破坏。

基于编解码多尺度特征优化的图像去雾算法

真实雾气不均匀分布的特点会导致基于合成数据集训练的网络对真实雾气下拍摄的图像的复原质量不佳.此外,现有去雾模型较大的网络参数量会影响去雾的实时性.针对这两个问题,提出一种参数量较低的基于编解码多尺度特征优化的图像去雾算法以去除真实场景下图像的雾气.首先,在编码部分利用跨通道上下文注意力隐式地建模像素间的关系,以恢复去雾后图像中物体的结构.然后,设计信息调节子网弥补编码器遗漏的浅层信息,解决细节恢复粗糙的问题.最后,在解码部分设计特征矫正子网,采用相减式残差结构减少噪声,保证输出结果的正确性.在多种真实雾数据集上,对所提方法的普适性进行实验.实验结果表明:在REVIDE真实雾数据集中,与MSBDN方法相比,所提方法在参数量降低46%的基础上获得了PSNR 1.25dB的提升;在OHaze、I-Haze以及RTTS多种室内外真实雾测试集中,与其他去雾方法相比,所提方法都取得了更好的PSNR结果和视觉效果.

新工科背景下专业实习体系探索与实践——以轨道交通信号与控制专业为例

为适应新工科对人才培养的新要求,针对轨道交通信号与控制专业的实习体系在实践过程中存在的主要问题,通过深化产教融合、强化虚实结合、细化考评综合,建立纵向“三阶段”逐级递进、横向“双形式”互补的实习新模式,形成“一平台,双引擎,三大素质”的实习教学新理念,构建“一核心,三过程,九指标”的综合能力评价新机制。在实习组织形式、实习资源整合、实习评价方式等方面进行积极探索和大胆实践,对其他工科专业的实习教学体系建立有一定借鉴和参考意义。

Real-Time Maqam Estimation Model in Max/MSP Configured for the Nāy

Automatic maqam estimation is considered significant toward improving multimedia live music performances and automatic accompaniment. This contribution proposed a real-time maqam estimation model developed in the visual programming language MAX/MSP and configured for the nāydukah. The model’s design stood on basic formulas of Arab music maqamat as explained in theory and applied in practice. The model consisted of different layers of competition;the first was for the identification of the instant tonic of the melodic figure, and the second was for the recognition of its identifying E (E, E half-flat and E flat). Those two competitions were used to estimate the maqam in real-time. Then, accumulated estimation results were used to estimate the maqam in longer durations;five-second and full duration. The model was evaluated using professionally performed nāy improvisations. Results reflected a success in estimating all the studied maqamat when the full improvisation was considered. In addition, results were very good for real-time and five-second estimation where average estimation confidence was 75.98% and 80.04%, respectively.

A Novel Method for Real-Time Monitoring of Channel Siltation Based on Bistatic Scattering Theory

Monitoring the thickness changes of channel siltation is paramount in safeguarding navigation and guiding dredging, This paper presents a novel method for realizing the field monitoring of channel siltation in real time. The method is based on the bistatic scattering theory and concerned more with the receiving and processing of multipath signal at high-frequency and small grazing angle. By use of the multipath propagation structure of underwater acoustic channel, the method obtains the silt thickness by calculating the relative time delay of acoustic signals between the direct and the shortest bottom reflected paths. Bistatic transducer pairs are employed to transmit and receive the acoustic signals, and the GPS time synchronization technology is introduced to synchronize the transmitter and receiver, The WRELAX （Weighted Fourier transforul and RELAX） algorithm is used to obtain the high resolution estimation of muhipath time delay. To examine the feasibility of the presented method and the accuracy and precision of the developed system, a series of sea trials are conducted in the southwest coast area of Dalian City, north of the Yellow Sea. The experimental results are compared with that using high-resolution dual echo sounder HydroBoxTM, and the uncertainty is smaller than ＋ 0.06 m. Compared with the existing means for measuring the silt thickness, the present method is innovative, and the system is stable, efficient and provides a better real-time performance. It especially suits monitoring the narrow channel with rapid changes of siltation.

多通道离散量在线监测模块的设计与实现

随着工业领域电子设备集成度的不断提高,针对多类型、大数量离散量信号的实时监测需求,设计了基于FPGA与CPCI总线的多通道离散量在线监测模块。通过扩展多个传感器芯片并内嵌FPGA幅值计算程序,该模块可并行测量96路输入信号幅值。对外采用CPCI总线通用接口,可在线更新检测参数,支持后走线,理论上可扩展实现任意数量离散量信号的在线监测,克服了传统离散量测试电路体积大、测量参数固定、信号通道少的问题。经过通道一致性、实时性、可靠性测试验证,该模块测量准确,性能稳定,能够满足测试设备小型化、集成化的使用要求。

基于渐进可控频偏范围的多频实信号频率估计器

多频实信号的频率估计是应用面广的基础信号处理问题,其精度受限于难以降低各频率成分的谱间干扰。为根本解决该问题,提出可自动抑制谱间干扰的多频实信号频率估计器,具体以频偏范围可控的单频估计器为基础,通过迭代构造两种残差信号(即降序残差和排它残差)并将其馈入单频估计器,从而获得各成分频率估计结果。其特色在于,在迭代过程中,可渐进设置频偏范围参数,从而保证各频率成分可稳步地获得高精度估计结果。数值结果表明,该研究提出的多频估计器精度高于现有的多频估计器精度,具有宽广的应用前景。