Research of Multi-Rate LDPC Decoding in Optical Communication System

Low-density parity-check code (LDPC) not only has good performance approaching the Shannon limit, but also has low decoding complexity and flexible structure. It is a research hot-spot in the field of channel coding in recent years and has a wide range of application prospects in optical communication systems. In this paper, the decoding aspects and performance of LDPC codes are analyzed and compared according to the bit error rate (BER) of LDPC codes. The computer simulation was carried out under additive white Gaussian noise (AWGN) channel and binary phase shift keying (BPSK) modulation. Through theoretical analysis and simulation results, this paper explores the way of multi-rate LDPC decoding.

OPTIMAL FEED RATE CONTROL FOR MULTI-AXIS CNC MACHINING OF FREE FORM SURFACES

Considering machining efficiency, surface quality and wear of cutter and machine, it is necessary to maintain high, stable and constant surface feed rate as far as possible.The feed late control strategy for multi-axis CNC machining of free-form surfaces is presented. It comprises: ①the determination of effective feed rate; ②the adoption of suitable approaches to smooth feed rate. This strategy considers path geometry, actuator limitation and machine dynamics. The result shows that machining efficiency is improved effectively.

Study of multi-rate multi-user detection based on supervision decision

Multi-user detection (MUD) based on multirate transmission in code division multiple access (CDMA) system is discussed. Under the requirement of signal interference ratio (SIR) detection at base station and framework with parallel interference cancellation, a supervision decision algorithm based on pre-decision of probabilistic data association (PDA) and hard decision is proposed. The detection performance is analyzed and simulation is implemented to show that the supervision decision algorithm improves the detection performance effectively.

A SINGLE PROCESSOR MULTI-RATE VOCODER

This paper presents the design of a full-duplex multi-rate vocoder which implements an LPC-10, CELPC and VSELPC algorithms in real time. A single commercially available digital signal processor IC, the TMS320C25, is used to perform the digital processing. The channel interfaces are configured with the design of ASIC, and including timing and control logic circuits.

A NEW DESIGN METHOD OF CDMA SPREADING CODES BASED ON MULTI-RATE UNITARY FILTER BANK

It is well-known that the multi-valued CDMA spreading codes can be designed by means of a pair of mirror multi-rate filter banks based on some optimizing criterion. This paper indicates that there exists a theoretical bound in the performance of its circulating correlation property, which is given by an explicit expression. Based on this analysis, a criterion of maximizing entropy is proposed to design such codes. Computer simulation result suggests that the resulted codes outperform the conventional binary balanced Gold codes for an asynchronous CDMA system.

Multi-rate sensor fusion-based adaptive discrete finite-time synergetic control for flexible-joint mechanical systems

This paper proposes an adaptive discrete finite-time synergetic control （ADFTSC） scheme based on a multi-rate sensor fusion estimator for flexible-joint mechanical systems in the presence of unmeasured states and dynamic uncertainties. Multi-rate sensors are employed to observe the system states which cannot be directly obtained by encoders due to the existence of joint flexibilities. By using an extended Kalman filter （EKF）, the finite-time synergetic controller is designed based on a sensor fusion estimator which estimates states and parameters of the mechanical system with multi-rate measurements. The proposed controller can guarantee the finite-time convergence of tracking errors by the theoretical derivation. Simulation and experimental studies are included to validate the effectiveness of the proposed approach.

A NOVEL CROSS-LAYER STRATEGY OF VIDEO TRANSMISSION TO SOLVE PERFORMANCE ANOMALY IN MULTI-RATE IEEE 802.11 NETWORKS

When wireless hosts use different rates to transmit data in IEEE 802.11 networks, it will take on the state of performance anomaly which will severely decrease the throughputs of all the higher rate hosts. Hence, it is bad for video service transmission. Considering that video is very sensitive to packet delivery delay but can tolerate some packet losses, we propose a novel cross-layer scheme which takes these two characteristics into consideration. Firstly, the maximum number of retransmissions for a video Medium Access Control (MAC) frame is computed in MAC layer according to video frame rate requirement of application layer and current access delay of MAC layer. Secondly, within the margin of the tolerant Packet Loss Rate (PLR) of application layer, several video MAC frames are allowed to drop so that we can adaptively select the transmission rate as high as possible for the rest of video MAC frames in terms of current channel quality and the maximum number of retransmissions. Experiment results show that the proposed method can reduce the delay and jitter of video service and improve the throughputs of fast hosts. Therefore, it increases the quality of reconstructed video to a certain extent and relieves the performance anomaly of network effectively.

On the Performance of Blind Chip Rate Estimation in Multi-Rate CDMA Transmissions Using Multi-Rate Sampling in Slow Flat Fading Channels

This paper considers blind chip rate estimation of DS-SS signals in multi-rate and multi-user DS-CDMA systems over channels having slow flat Rayleigh fading plus additive white Gaussian noise. Channel impulse response is estimated by a subspace method, and then the chip rate of each signal is estimated using zero crossing of estimated differential channel impulse response. For chip rate estimation of each user, an algorithm which uses weighted zero-crossing ratio is proposed. Maximum value of the weighted zero crossing ratio takes place in the Nyquist rate sampling frequency, which equals to the twice of the chip rate. Furthermore, bit time of each user is estimated using fluctuations of autocorrelation estimators. Since code length of each user can be obtained using bit time and chip time ratio. Fading channels reduce reliability factor of the proposed algo-rithm. To overcome this problem, a receiver with multiple antennas is proposed, and the reliability factor of the proposed algorithm is analyzed over both spatially correlated and independent fading channels.

Adaptive Rate Control for Multi-Antenna Multicast in OFDM Systems

We propose two rate control schemes for multi-antenna multicast in OFDM systems, which aim to maximize the minimum average rate over all users in a multicast group. In our system, we do not require all multicast users to successfully recover the signals received on each subcarrier. In contrast, we allow certain loss for multicast users, such that the multicast transmission rate can be increased. We assume that the loss-repairing can be completed at upper protocol layers via advanced fountain codes. Following this principle, we formulate the rate control problem via beamforming in multi-antenna multicast to optimize the minimum achievable rate for all multicast users. While the computation complexity to solve for the optimal beamformer is prohibitively high, we propose a suboptimal iterative rate control scheme. Moreover, we modify the above optimization problem by selecting a ?xed proportion of users on each subcarrier. The beamformer searching process will then be performed only based on the selected users on each subcarrier, such that the complexity can be further reduced. We also solve this new problem with a low complexity approach. Theoretical analyses and simulation results show that our proposed two rate control schemes can have higher minimum average rate than the baseline scheme without rate control, while achieving low complexity.

Image Tamper Detection and Multi-Scale Self-Recovery Using Reference Embedding with Multi-Rate Data Protection

This paper proposes a multi-scale self-recovery(MSSR)approach to protect images against content forgery.The main idea is to provide more resistance against image tampering while enabling the recovery process in a multi-scale quality manner.In the proposed approach,the reference data composed of several parts and each part is protected by a channel coding rate according to its importance.The first part,which is used to reconstruct a rough approximation of the original image,is highly protected in order to resist against higher tampering rates.Other parts are protected with lower rates according to their importance leading to lower tolerable tampering rate(TTR),but the higher quality of the recovered images.The proposed MSSR approach is an efficient solution for the main disadvantage of the current methods,which either recover a tampered image in low tampering rates or fails when tampering rate is above the TTR value.The simulation results on 10000 test images represent the efficiency of the multi-scale self-recovery feature of the proposed approach in comparison with the existing methods.

Joint routing and rate allocation for multiple video streams in ad-hoc wireless networks

The support for multiple video streams in an ad-hoc wireless network requires appropriate routing and rate allocation measures ascertaining the set of links for transmitting each stream and the encoding rate of the video to be delivered over the chosen links. The routing and rate allocation procedures impact the sustained quality of each video stream measured as the mean squared error (MSE) distortion at the receiver, and the overall network congestion in terms of queuing delay per link. We study the trade-off between these two competing objectives in a convex optimization formulation, and discuss both centralized and dis- tributed solutions for joint routing and rate allocation for multiple streams. For each stream, the optimal allocated rate strikes a balance between the selfish motive of minimizing video distortion and the global good of minimizing network congestions, while the routes are chosen over the least-congested links in the network. In addition to detailed analysis, network simulation results using ns-2 are presented for studying the optimal choice of parameters and to confirm the effectiveness of the proposed measures.

Corrosion resistance of 2195 aluminum alloy treated by multi-step-heating-rate controlled process

2195 aluminum-lithium alloy was widely applied in the aviation and aerospace industry, but it is highly susceptible to pitting and intergranular corrosion undergoing sever corrosive circumstance and moisture atmosphere. To solve this problem and consequently to prolong its service life, a multi-step-heating-rate(MSRC) process was carried out. Investigations were carried out to find the effect of the MSRC process on the alloys corrosion resistance. It is found that the MSRC process is more favorable for the uniform phase precipitation by comparing the corrosion resistance of samples treated by traditional heat treatments. The potential difference between phases can be reduced and intergranular corrosion is able to be prohibited efficiently. Besides, the rare earth infiltration is beneficial to improving the corrosion resistance. As heating time increases, the corrosion resistance declines gradually, samples treated by artificial aging and solid solution also exhibit a better corrosion resistance.

2型糖尿病合并感染患者肺炎克雷伯菌分布及预后影响因素分析

目的:探讨2型糖尿病(T2DM)合并感染患者肺炎克雷伯菌(KP)分布及预后影响因素分析。方法:选择226例T2DM患者为研究对象,根据是否合并KP感染分为未感染组(n=170)和感染组(n=56),分析T2DM患者感染的危险因素。收集T2DM合并感染患者KP标本,记录标本来源并进行菌种鉴定和药敏试验,并对所有菌株进行多位点序列(MLST)分型,记录预后情况。结果:基础疾病、抗生素使用、侵入性操作、血清白蛋白(ALB)、糖化血红蛋白(HbA1c)、空腹血糖(FPG)为影响T2DM发生感染的危险因素(均P<0.05)。T2DM合并感染患者体内分离56株肺炎克雷伯菌,肺炎克雷伯菌在痰液中的占比最高为44.62%,其次为尿液19.64%,血液中占比16.07%,脓液中占比12.5%,其他标本占比7.14%。56株KP总耐药率最高为氨苄西林,最低为亚胺培南,痰液标本中KP对头孢呋辛、头孢哌酮、庆大霉素耐药率高于非痰液标本,非痰液标本中KP对头孢他啶高于痰液标本(均P<0.05)。56株肺炎克雷伯菌MLST分型共发现42个ST型,ST-20型、36型、65型、347型、660型各2株,分别占3.57%,23型4株占7.14%,ST-17、25、29、35、37、45、86、189、208、211、218、322、355、412、490、519、557、595、726、776、1049、1092、1103、1319、1569、1916、2059、3014、3140、3536、4023、4194、4262、4412、4857型各1株,分别占1.78%,其他ST型7株占比12.5%。56例T2DM合并KP感染患者预后良好患者52例,预后不良患者4例,预后良好率为92.86%。结论:T2DM合并感染患者KP主要分布在痰液和尿液中,基础疾病、抗生素使用、侵入性操作、ALB、HbA1c、FPG是影响KP感染发生危险因素,T2DM合并KP感染患者根据药敏结果选择用药,有利于患者预后。

Downlink call admission control with power allocation and rate scheduling for IDMA-based multi-beam satellite systems

Considering the advantage of interleave-division multiple-access(IDMA) technique and the technical bottlenecks in the existing satellite systems,IDMA is introduced into satellite communication networks.To further validate the IDMA into satellite systems,an effective call admission control(CAC) is proposed to maximize the resource utilization.After establishing the multi-beam satellite system model based on variable spreading gain(VSG) IDMA,the power allocation scheme based on SINR evolution technique and transmission rate adaptation for nonreal time interactive traffic are designed as integrated parts of the CAC,working together to improve the system performance in terms of power efficiency and throughput.Further,the analysis and simulation results show that IDMA under the proposed scheme can provide better QoS,in terms of the blocking/dropping probability,outage probability as well as delay performance.

高重复频率猝发多脉冲加载下交联聚苯乙烯真空沿面闪络特性

基于高重复频率强流多脉冲加速器的应用需求,针对交联聚苯乙烯(XLPS)材料在猝发多脉冲下的真空沿面闪络特性开展了实验研究。采用放置于平板电极中的XLPS圆台样品,在脉宽120 ns的单个脉冲和间隔500 ns的三脉冲加载下开展了真空沿面闪络实验,通过对实验平台和实验规范的优化设计,有效提升了实验效率和数据有效性,观测到了样品发生真空沿面闪络前的试样电压顶降现象和前序脉冲闪络对后续脉冲的显著影响,获得了XLPS材料在相应条件下真空沿面闪络的统计数据。在实验基础上,对XLPS材料在高重复频率多脉冲加载下的真空沿面闪络特性进行了分析,为高重复频率多脉冲加速器的绝缘设计提供了实验依据。

大功率花瓣加速器X射线闪光放射治疗设备设计研究

目的:研究设计一种用于超高剂量率的闪光放射治疗(Flash-RT)设备,用于超高剂量率Flash-RT的机制研究。方法:Flash-RT设备的设计基于大功率花瓣加速器技术路线,可实现Flash-RT对超高剂量率及多照射角度的需求。从设备总体设计、主要组件及特点、束流动力学设计、移动及初步实验平台搭建等方面开展相应设计与研究。结果:设计的Flash-RT设备剂量率在距离靶点0.8 m处可达到100 Gy/s,并且容易实现多角度的放射治疗方式。结论:基于大功率花瓣加速器技术路线设计的X射线设备,可实现超高剂量率的医用Flash-RT设备机制的研究。

数模联动的多特征工件加工能耗预测方法研究

在实际切削加工过程中材料去除率是不断变化的,现有将其视为恒量的能耗建模方法难以实现能耗准确预测。为了提高切削过程能耗预测精度,提出了一种基于材料去除率的数模联动加工能耗预测方法。首先,基于切削过程刀具与工件的接触关系分析了切入、完全切入和切出阶段材料去除率变化规律,并对相应的加工能耗特性进行了分析;其次,提出了数据驱动的刀具切入,切出阶段加工能耗预测方法,以及模型驱动的完全切入阶段加工能耗预测方法,实现加工过程能耗准确预测;最后,利用实验案例验证了所提模型及方法的有效性,为今后研究能耗预测精度奠定了基础。

面向点击率预测的自注意力深度域嵌入因子分解机

点击率(CTR)预测通过预测用户对广告或商品的点击概率,实现数字广告精准推荐。针对现有CTR模型存在原始嵌入向量未精化、特征交互方式偏简单的问题,本文提出自注意力深度域嵌入因子分解机(self-attention deep field-embedded factorization machine,Self-AtDFEFM)模型。首先,通过多头自注意力对原始嵌入向量加权,精化出关键低层特征;其次,构建深度域嵌入因子分解机(FEFM)模块,设计域对对称矩阵以提升不同特征域之间的交互强度,为高阶特征交互优选出低阶特征组合;再次,基于低阶特征组合构建深度神经网络(DNN),完成隐式高阶特征交互;然后,围绕精化后的嵌入向量,联合多头自注意力与残差机制堆叠多个显式高阶特征交互层,通过自注意力捕获同一特征在不同子空间上的互补信息,完成显示高阶特征交互;最后,联合显式与隐式高阶特征交互实现点击率预测。在Criteo和Avazu两大公开数据集上,将Self-AtDFEFM模型与主流基线模型在AUC和LogLoss指标上进行对比实验;为Self-AtDFEFM模型调制显式高阶特征交互层层数、注意力头数量、嵌入层维度及隐式高阶特征交互层层数等参数;对Self-AtDFEFM模型进行消融实验。实验结果表明:在两大数据集上,Self-AtDFEFM模型的AUC、LogLoss均优于主流基线模型;Self-AtDFEFM模型的全部参数已调为最佳;各模块形成合力以促使Self-AtDFEFM模型性能达到最优,其中显示高阶特征交互层的作用最大。Self-AtDFEFM模型各模块即插即用,易于构建和部署,且在性能与复杂度之间取得平衡,具备较高实用性。

新能源电力系统细粒度并行与多速率电磁暂态仿真

随着可再生能源的快速发展,电力系统设备类型越来越多,系统振荡特征越来越复杂,对电磁暂态仿真的精度和效率提出了更高要求。基于大规模集成电路设计中所使用的延迟插入法(LIM),提出了新能源电力系统的细粒度建模方法,并结合图形处理器(GPU)的资源优势,实现了算法的并行求解。所提方法将传统交流电网与电力电子设备进行解耦,并基于混合数值稳定性判据和局部截断误差的方法确定了各子系统的步长。然后,通过插值实现了新能源电力系统的多速率仿真。最后,基于GPU硬件平台,以含新能源接入的改进39节点系统为例验证了所提方法的精度,并以不同规模的新能源接入、不同仿真步长的组合验证了所提方法在仿真效率方面的优势。

智能水表多场景应用综合测试评估研究

水表是城市供水系统的核心计量设备和信息数据源,对于提高精细化管理水平,缩小产销差至关重要。通过试验比较了机械式水表和智能水表的计量精度,从数据精确度、数据上传率和电池续航力等方面对智能水表性能进行综合测评,结合智能水表在分区计量、水费自动结算、漏损预警、老年人居家安全监测等多场景应用实例,展示了智能水表在智慧水务建设中的推广应用价值。在低流量范围,智能水表的计量精度明显优于机械水表;智能水表以其高精度计量、实时数据传输和智能化管理等特点,更符合超大型城市漏损控制智慧数据监测的应用趋势。