Threshold Subliminal Channel Based on Designated Verifier Signature

The subliminal channel is used to send a secret message to an authorized receiver; the message cannot he discovered by any unauthorized receivers. Designated verifier signature （DVS） provide authentication of a message, we design a DVS scheme with message recovery mechanism and use it as a subliminal channel. In order to share a message among n users securely and allows t or more users can reconstruct the secret in dynamic groups, we combine both subliminal channel and （t, n） threshold cryptography. Then we proposed a threshold subliminal channel which can convey a subliminal message to a group of users based on message-recovery designated verifier signatures. Reconstructing the subliminal message relies on the cooperation of t or more users in the group and they can verify the validity of the subliminal message. Security and performance analysis show that the proposed scheme is secure and efficient.

A two-dimensional analytical model for channel potential and threshold voltage of short channel dual material gate lightly doped drain MOSFET

An analytical model for the channel potential and the threshold voltage of the short channel dual-material-gate lightly doped drain （DMG-LDD） metal-oxide-semiconductor field-effect transistor （MOSFET） is presented using the parabolic approximation method. The proposed model takes into account the effects of the LDD region length, the LDD region doping, the lengths of the gate materials and their respective work functions, along with all the major geometrical parameters of the MOSFET. The impact of the LDD region length, the LDD region doping, and the channel length on the channel potential is studied in detail. Furthermore, the threshold voltage of the device is calculated using the minimum middle channel potential, and the result obtained is compared with the DMG MOSFET threshold voltage to show the improvement in the threshold voltage roll-off. It is shown that the DMG-LDD MOSFET structure alleviates the problem of short channel effects （SCEs） and the drain induced barrier lowering （DIBL） more efficiently. The proposed model is verified by comparing the theoretical results with the simulated data obtained by using the commercially available ATLASTM 2D device simulator.

An analytical threshold voltage model for dual-strained channel PMOSFET

Based on the analysis of vertical electric potential distribution across the dual-channel strained p-type Si/strained Si1-xGex/relaxd Si1-yGey（s-Si/s-SiGe/Si1-yGey） metal-oxide-semiconductor field-effect transistor （PMOSFET）, analytical expressions of the threshold voltages for buried channel and surface channel are presented. And the maximum allowed thickness of s-Si is given, which can ensure that the strong inversion appears earlier in the buried channel （compressive strained SiGe） than in the surface channel （tensile strained Si）, because the hole mobility in the buried channel is higher than that in the surface channel. Thus they offer a good accuracy as compared with the results of device simulator ISE. With this model, the variations of threshold voltage and maximum allowed thickness of s-Si with design parameters can be predicted, such as Ge fraction, layer thickness, and doping concentration. This model can serve as a useful tool for p-channel s-Si/s-SiGe/Si1-yGey metal-oxide-semiconductor field-effect transistor （MOSFET） designs.

UFMC系统中基于阈值的改进DFT信道估计算法

针对通用滤波多载波(Universal Filtered Multi-Carrier,UFMC)系统中传统的基于离散傅里叶变换(Discrete Fourier Transform,DFT)的信道估计算法存在噪声区间不连续、信道长度内噪声消除不彻底、信号经DFT运算后频谱泄露高等问题,提出一种基于阈值的改进DFT信道估计算法。算法在频域通过加窗以降低信道冲激响应(Channel Impulse Response,CIR)能量泄露,在时域通过设置阈值和指数平滑可最大限度滤除样本内噪声。理论分析与仿真结果表明,与传统的DFT估计算法相比,所提算法误比特率(Bit Error Ratio,BER)更低,在高信噪比下有1.5 dB左右的性能提升,能够进一步减少噪声对系统性能的影响,可有效提高信道估计的准确度。

A two-dimensional analytical modeling for channel potential and threshold voltage of short channel triple material symmetrical gate Stack(TMGS) DG-MOSFET

In the present work, a two-dimensional（2D） analytical framework of triple material symmetrical gate stack（TMGS）DG-MOSFET is presented in order to subdue the short channel effects. A lightly doped channel along with triple material gate having different work functions and symmetrical gate stack structure, showcases substantial betterment in quashing short channel effects to a good extent. The device functioning amends in terms of improved exemption to threshold voltage roll-off, thereby suppressing the short channel effects. The encroachments of respective device arguments on the threshold voltage of the proposed structure are examined in detail. The significant outcomes are compared with the numerical simulation data obtained by using 2D ATLAS;device simulator to affirm and formalize the proposed device structure.

U型渠道中直角三角形量水槽体型设计

量水槽体型设计是量水槽应用于灌区的重要环节,目前尚无完善的体型设计标准可依。为解决直角三角形量水槽实际应用中的体型设计问题,提出以淹没度、壅水高度和上游弗劳德数的限制条件为标准的量水槽体型设计准则。在2种型号、3种坡度的U型渠道上,利用钢模板修建5座直角三角形量水槽进行灌区试验;建立了包含渠道坡度的流量公式,拟合了淹没阈值、壅水高度和上游弗劳德数的经验公式。研究表明:含有坡度的流量公式精度较高,平均相对误差仅为1.88%,相对误差的最大值为5.56%,相对误差在±5%范围以内的数据比例为98%;拟合得到的3个经验公式描述了淹没阈值、壅水高度和上游弗劳德数与量水槽喉口宽度之间的定量关系,可用于量水槽体型设计。基于体型设计准则和经验公式,建立了最大流量和最小流量下淹没度小于相应淹没阈值、最大流量下壅水高度小于渠道岸顶超高、最小流量下上游弗劳德数小于0.5的直角三角形量水槽体型设计方法。研究成果可为类似量水槽体型设计提供参考。

并联竖直上升通道内二氧化碳流动不稳定性实验研究

先进超临界二氧化碳(supercritical carbon dioxide,S-CO_(2))布雷顿循环系统因具有紧凑、高效灵活的特点,在第三代光热系统和第四代核电系统中具有良好的应用前景,而布雷顿循环系统中的流动不稳定性威胁着机组的安全运行。为研究竖直上升并联管内CO_(2)的流动不稳定性,该文建立CO_(2)流动不稳定性系统进行实验研究,获得热工参数对流动不稳定性的影响规律;引入无量纲节流系数,构建CO_(2)流动不稳定性预测模型;模型预测效果良好,预测值与实验值吻合良好(误差±20%)。研究发现,增加系统压力、增加质量流量及过冷度范围在5~20℃时,减小过冷度均有利于提高并联管间流动的稳定性;随着出口节流增加,并联管间流动稳定性降低,且发生不稳定性的界限热负荷逐渐减小。

改进型过阈时间法多通道幅度测量中的基线恢复方法

过阈时间法将信号幅度测量转换成为对过阈时间的测量。采用可变阈值的改进型过阈时间法能够显著优化系统的线性,使其在能谱测量中发挥作用。其所需的比较器和时间数字转换器均可在FPGA内实现,在多通道幅度测量中可大大简化数据采集系统。过阈时间法对波形和基线稳定性有较高要求,在高计数率下,堆积和基线偏移会对测量造成影响。提出一种通过可变阈值采样基线的校正方法,基于信号模拟系统验证了该方法的可行性,初步分析了其基线恢复的效果。该方法可显著提升过阈时间法在高计数率下的稳定性。

大型水库运用对河口尾闾河道出汊的影响研究

为定量研究大型水库运用对河口尾闾河道出汊的影响,以黄河口尾闾段为研究对象提出了一种基于改进熵权法的河道出汊阈值确定方法,根据实测水沙资料确定了尾闾河道出汊指标计算公式及相应的河道出汊阈值,在还原无小浪底工程时尾闾段水沙及河槽形态调整过程的基础上,结合出汊阈值对比分析了有、无小浪底工程时尾闾段发生河道出汊概率的差异。结果表明:河段河相系数和汛期平均水流冲刷强度分别为边界和水沙条件中对河道出汊贡献最大的两个指标;黄河口尾闾段河道出汊阈值为38.16,当出汊指标大于38.16时尾闾段发生河道出汊;小浪底工程运用约束了进入尾闾段的沙量,河道出汊概率明显减小。

认知无线电系统多接入用户信息新鲜度研究

为了解决物联网信道资源有限的问题以及提高物联网系统的信息时效性,考虑了包括一个主用户(primary user,PU)和两个次用户(secondary user,SU)节点的多接入认知无线电(CR)物联网系统模型。在PU工作状态和SU数据队列稳定的约束下,分别分析了第一个SU节点在先来先服务(first come first served,FCFS)、后来先服务(last come last served,LCLS)以及包丢弃队列下的平均信息年龄(age of information,AoI),推导了在阈值策略下第二个SU节点的平均AoI。然后,提出了使第一个SU平均AoI最小化,并且第二个SU的平均AoI低于给定阈值的优化问题。优化问题的约束条件是凸的,但所得到的目标函数是非凸的,故引入了一种次优技术,利用双层凸优化算法得到最优解。仿真结果给出了所考虑优化算法在不同系统参数下的性能,该算法在不同系统参数和多天线影响下的性能表现良好。后续工作可以考虑扩展到两个以上次用户的CR物联网系统。

一种基于动态门限与LMS算法相结合的多径干扰抑制算法

在船舰行驶过程中,信号的传输在岛屿反射与海面散射影响下易产生多径效应,使船舰的无线地空数据接收系统受到影响。为提高接收机的接收性能,首先完成了多径信道的建模,搭建了三径信道模型,并在此模型下,将动态门限法与最小均方(LMS)算法进行改进结合,并用此算法完成了信号处理的研究与仿真。仿真结果表明,所提算法优化方案可以提高在此种情况下信号接收系统的准确性。

uBlock算法的低延迟一阶门限实现方法

目前已有文献给出了uBlock分组密码算法的侧信道防护方案,但是这些方案不仅延迟较高,难以适用于低延迟高吞吐场景,而且在毛刺探测模型下缺乏可证明安全性.针对这一问题,本文给出了在毛刺探测模型下具有可证明安全性的uBlock算法的低延迟门限实现方案.此外,我们引入了Changing of the Guards技术来避免防护方案在执行过程中需要额外随机数.对于防护方案的安全性,我们用自动化评估工具SILVER验证了S盒的毛刺探测安全性,并用泄露评估技术TVLA(Test Vector Leakage Assessment)验证了防护方案的整个电路的安全性.最后,我们用Design Compiler工具对防护方案的性能消耗情况进行了评估.评估结果显示,与序列化实现方式的uBlock防护方案相比,我们的防护方案的延迟能够减少约95%.

基于矩阵恢复的OFDM信道估计方法

正交频分复用(Orthogonal Frequency Division Multiplexing,OFDM)中至关重要的一项技术是信道估计,本文提出一种基于矩阵恢复的OFDM信道估计方法,将连续多个OFDM信号的频域信道构造成一个信道矩阵,由于这个信道矩阵是低秩的,所以可以将信道估计问题转换为信道矩阵的加权截断核范数最小化问题,并使用改进的奇异值阈值(Singular Value Thresholding,SVT)算法对信道矩阵进行恢复。仿真结果表明,本文提出的方法和传统信道估计算法相比,使用相同导频数可以获得更高的估计精度,在获得相同估计精度时,消耗导频数更少。与基于压缩感知的信道估计方法相比,本文方法消耗相同数量的导频,但可直接获得高精度的OFDM信道的频域估计。

水下无线光通信动态阈值判决技术研究与性能分析

针对海洋湍流信道环境下固定阈值判决方案导致水下无线光通信系统性能恶化的问题,提出了一种动态阈值判决方案。该方案基于水下湍流信道慢衰落的特性,在发送端将数据以帧为单位进行发送,接收端则根据接收帧前导码的幅度每帧更新一次判决阈值。采用蒙特卡洛法和Gamma-Gamma信道模型对水下无线光通信系统进行仿真,仿真结果表明:在弱湍流信道环境下,当系统误码率为10^(-6)时,动态阈值判决方案比固定阈值判决方案的误码性能提升5.4 dB;在中、强湍流信道环境下,动态阈值判决方案能够有效抑制误码率门限现象的产生。

基于视觉传达技术的无参考低光照图像增强方法

为了优化低光照图像增强效果,提出基于视觉传达的无参考低光照图像增强方法。所提方法通过全景成像技术重构低光照图像,并采用计算机原理模拟光学成像系统,引入多重分形法和半软阈值指数衰减法去除重构图像上的噪声。通过亮暗双通道系数计算图像增强过程中的最佳透射率,并以此透射率对低光照图像展开增强处理。实验结果表明,所提方法重构图像完整、图像整体质量高、SIMM值接近于1,在不影响图像清晰度的前提下实现了图像去噪,对低光照图像的增强效果明显,避免了增强过程中的图像曝光,做到了图像细节的完整保留。

OPTIMUM FRAME SYNCHRONIZATION AND PERFORMANCE OVER BINARY SYMMETRIC CHANNEL

The fixed frame length maximum correlation method which is the optimum methodover the binary symmetric channel has been proved.With Poisson distribution,the frame syncacquisition probability is obtained and followed by computer simulation.By Markov modelingtechniques,the probability and the mean time into lock mode are given.Finally,it is shown thatthe optimum frame sync method is far superior to conventional,and it is very useful in practice.

Research of multi-channel impulse noise detection algorithms based on template

Attenuating the undesired audio noise generated by impulse noise,such as shot and scream of brakes,is specially useful for real-time audio recording of TV or broadcasting live report.On the basis of impulse noise detection algorithms based on template,this paper improves the method of establishing the template by using multiple microphones to pick up noise corrupted signals and impulse noises in the environment.The universal of thresholds is found and a detection algorithm with slope as the characteristic is proposed by comparing a variety of feature extraction algorithms.The proposed algorithm gets a significant improvement in testing speed and accuracy,which means it is suitable for real-time processing of audio signals.

一种深度学习的波束空间信道估计算法

在时分双工(TDD)毫米波大规模多输入多输出(MIMO)系统中,因为波束空间信道具有稀疏性,导致将低维测量数据重建为原始高维信道时会带来较高的复杂度。针对上行链路,在不考虑稀疏度的情况下,将传统优化算法和基于数据驱动的深度学习方法相结合,提出一种改进的基于深度学习的波束空间信道估计算法。从重建过程入手,通过交替建立梯度下降模块(GDM)和近端映射模块(PMM)来构建网络。首先根据SalehValenzuela信道模型进行理论公式推导并生成信道数据;其次构建一个由传统迭代收缩阈值算法(ISTA)的更新步骤所展开的多层网络,并将数据传输到该网络,每层对应于一次类似ISTA的迭代;最后对训练好的模型进行在线测试,恢复出待估计的信道。构建Py Torch环境,将该算法与正交匹配追踪(OMP)算法、近似消息传递(AMP)算法、可学习的近似消息传递(LAMP)算法、高斯混合LAMP(GM-LAMP)算法进行对比,结果表明:在估计精度方面,所提算法相对表现较好的深度学习算法LAMP、GM-LAMP分别提升约3.07和2.61 d B,较传统算法OMP、AMP分别提升约11.12和9.57 d B;在参数量方面,所提算法较LAMP、GM-LAMP分别减少约39%和69%。

Comparative Methodical Assessment of Established MOSFET Threshold Voltage Extraction Methods at 10-nm Technology Node

Threshold voltage (VTH) is the most evocative aspect of MOSFET operation. It is the crucial device constraint to model on-off transition characteristics. Precise VTH value of the device is extracted and evaluated by several estimation techniques. However, these assessed values of VTH diverge from the exact values due to various short channel effects (SCEs) and non-idealities present in the device. Numerous prevalent VTH extraction methods are discussed. All the results are verified by extensive 2-D TCAD simulation and confirmed through analytical results at 10-nm technology node. Aim of this research paper is to explore and present a comparative study of largely applied threshold extraction methods for bulk driven nano-MOSFETs especially at 10-nm technology node along with various sub 45-nm technology nodes. Application of the threshold extraction methods to implement noise analysis is briefly presented to infer the most appropriate extraction method at nanometer technology nodes.