Reciprocal bi-directional generative adversarial network for cross-modal pedestrian re-identification

To improve the accuracy of cross-modal pedestrian re-identification,a reciprocal bi-directional generative adversarial network-based method is proposed.First,we build two generative adversarial networks to generate cross-modal heterogeneous images.Second,an associated loss is designed to pull close the distribution of features in latent space during the image translation between visible and infrared images so as to help the networks generate fake heterogeneous images that have high similarity with the real images.Finally,by concatenating the original and generated heterogeneous pedestrian images into the discriminative feature extraction network,images from different modalities can be unified into a common modality,thus suppressing the cross-modal gap.Representation learning and metric learning are utilized to achieve more discriminative pedestrian features.Comparative experiments are conducted on SYSU-MM01 and RegDB datasets to analyze the accuracy with different loss functions.Compared with other state-of-the-art cross-modal pedestrian re-identification methods,the proposed method achieves a higher accuracy and stronger robustness.     

Method for using the blockchain to protect data privacy of IoV

With the rapid development of the Internet of Things,vehicle industry is undergoing a rapid transformation from the early vehicle Ad-Hoc network to the Internet of Vehicles (IoV) in which massive vehicles and on-board smart devices can realize data sharing and interaction.However,this brings about a big challenge for the security of shared data in a huge volume containing a lot of user privacy,especially the issues of access control,trust and key escrow.To address these problems,we propose an efficient blockchain-based distributed data sharing method in IoV.In our scheme,blockchain transactions are utilized for trustworthily data storage and access as well as user revocation.To realize end device verification,we introduce certificateless cryptography for transaction verification of blockchain nodes and the ease of the key escrow problem.Moreover,we propose an efficient partial policy-hidden CP-ABE scheme for data fine-grained access control with efficient user revocation.Security analysis and experiments demonstrate that our scheme is secure,efficient and practical.     

阳离子易染型再生聚酯流变性能研究

以废旧聚酯纺织品为原料,乙二醇为醇解剂,间苯二甲酸双羟乙酯-5-磺酸钠(SIPE)和聚乙二醇(PEG1500)为改性单体,经液相聚合得到了阳离子染料易染型再生聚酯(即r-ECDP);对其熔融流变性能进行了测试研究.由样品的红外谱图可知,改性单体SIPE与PEG-1500均已成功引入到共聚酯中并生成了r-ECDP;r-ECDP熔体呈现较明显的假塑性,随着温度和剪切速率(γ·)的增加,其表观黏度(ηa)降低;随着改性单体PEG-1500添加量的增加,r-ECDP熔体的ηa也逐渐减小;r-ECDP的非牛顿指数(n)随测试温度升高而逐渐增大;其粘流活化能Eη则随剪切速率和PEG-1500添加量的增加而减小;其结构黏度指数(Δη)则随PEG-1500添加量的增加及温度升高,呈减小趋势.     

基于胸围-腹围的湖南地区孕妇装号型制定的研究

针对采集的湖南地区孕妇体型数据,基于胸腹差和臀腹差,运用聚类分析,将孕妇体型分为H型、O型、A型和V型4类.确定孕妇装号型的基本部位,提出孕妇服装号型制定的方法,即上装以人体身高厘米数为号、人体胸围厘米数为型,下装以人体身高厘米数为号、人体腹围厘米数为型,利用线性回归分析给出了号型推档数值,并形成4种体型孕妇装号型系列表.论文成果能为孕妇装号型推荐和孕妇装设计提供理论基础,以此可有效提高孕妇服装的合体性.     

Optimization algorithm for ultra-sparse arrays in regional energy focusing

The setting of ultra-sparse arrays is one of key factors for the performance of regional energy focusing.This paper focuses on one of its typical applications:Precision Electronic Warfare by UAV,and proposes an optimization algorithm for ultra-sparse arrays to maximize the performance of regional energy focusing.First,we establish the joint optimization model of the interference waveform and the positions of elements.Second,particle swarm optimization (PSO) is adopted to iterate the positions of elements.Then,the target value of the subproblem is solved for the fitness criterion,as the current array is known in each step of the iteration.Finally,we get the optimal solution of the interference waveform and the ultra-sparse array by this method.Numerical results indicate that the algorithm can optimize the array effectively,and improve the indicators of regional energy focusing obviously.Whether the localization errors of elements exist or not,the algorithm provides a better performance than existing algorithms which only design the interference waveform.     

伊宁地块构造单元划分之新见

伊宁地块是西天山造山带的重要组成部分,其上广泛出露晚古生代火山岩浆岩和沉积建造,对剖析该地块的形成演化具有重要意义。伊宁地块以中部近EW向展布的乌孙山—塔勒得断裂为界可划分为南、北两大构造带,两者在基底建造、岩浆岩的组成与时代及其地球化学特征、盆地形成和构造演化等方面均呈现显著不同。其中,南构造带由晚泥盆世—早石炭世早期大哈拉—喀勒峻岛弧带和阿腾套弧后伸展盆地构成,推测海沟位于岛弧带之南(那拉提南缘断裂附近); 北构造带由早石炭世中晚期阿吾拉勒叠加岛弧带、特克斯—新源弧前盆地和清水河—苏布台弧后盆地-扇三角洲构成。在重新梳理并详细总结伊宁地块的最新划分依据及方案基础上,首次提出伊宁地块形成与演化的南、北构造带两拼接和演化三阶段新认识:①晚泥盆世—早石炭世早期,南构造带初始弧-盆构造体系形成; ②早石炭世中晚期,北构造带的沟-弧-盆构造体系形成并增生; ③早—晚石炭世,初始的南构造带与增生的北构造带拼贴缝合,完成地块拼贴与增生,最终形成统一的伊宁地块。     

基于光纤传感技术的泥石流冲击力测量系统与反演方法

目前水槽实验一般采用压电式压力传感器测量泥石流冲击力,这种传统测量模式的电信号易受电线阻抗效应的影响,且没有考虑测量装置受冲击变形对测量结果所产生的影响。针对以上问题,基于光纤布拉格光栅(Fiber Bragg Grating,FBG)传感技术,设计了悬臂梁式泥石流冲击力测量系统; 基于泥石流的宾汉体模型和受冲击体的本构关系,构建了包含中心波长最大偏移量、结构材料弹性模量和流深的泥石流最大冲击力反演公式。依据测量系统的力-光耦合效应设计水槽实验,开展了7组不同密度(1.8、1.9、2.0 g·cm^-3)的冲击实验工况。结果表明:①数据之间呈现较好的规律性,光纤布拉格光栅中心波长最大偏移量随着密度的增加而增大,同一密度下光纤布拉格光栅中心波长变化过程与泥石流冲击过程相吻合,从而验证了冲击力反演模型和测量系统之间具有良好的适应性; ②冲击力峰值为30.75～74.06 kPa,冲击力系数为0.92～1.95,与泥石流冲击特性相吻合,进而验证了本测量系统在克服传统压电式压力传感器自身缺陷的同时,亦能实现冲击力的稳定可靠测量。     

西南山区交通工程弃渣的工程特性评价及其分类

山区交通工程弃渣力学参数的准确测定,一直是弃渣场边坡稳定性评价面临的基础科学问题。在山区交通工程弃渣场运行特点和弃渣固体废弃物特征认知的基础上,探讨弃渣取样和试验代表性问题的物理根源,依托实际工程累计数据尝试提出简单实用的弃渣工程特性评价和分类方法。结果表明:①常规交通工程弃渣的密度、颗粒分析和强度试验,由于弃渣的粒径范围差异大、颗粒空间分布不均、弃渣来源复杂等固体废弃物特征造成取样和试验代表性难题; 用多阶段坡角测量和颗粒分析试验代替传统的弃渣边坡试验,解决了试验和取样代表性难题。②利用弃渣粗细比可将弃渣分为细粒弃渣、混合型弃渣和粗粒弃渣。③根据弃渣粗细比、天然休止角和整形坡率,将西南山区交通工程弃渣分为细粒弃渣、混合型弃渣和粗粒弃渣等3类。细粒弃渣,弃渣粗细比小于0.3,天然休止角小于31.5°,整形坡率为1.00:2.00; 混合型弃渣,弃渣粗细比为0.3～1.0,天然休止角为31.5°～39.5°,整形坡率为1.00:2.00～1.00:1.50; 粗粒弃渣,弃渣粗细比大于1.0,天然休止角大于39.5°,整形坡率为1.00:1.50。④用多阶段坡角测量、颗粒分析试验和无黏性土边坡稳定性系数计算公式代替传统的弃渣边坡试验和稳定性系数计算方法,方法简单,结果保守,可以作为弃渣边坡稳定性评价和安全控制技术的有益补充。     

兼顾公益性的城际公共交通运营补贴测算方法

近年来,城市群地区飞速发展,高频率的城际公共交通成为满足居民出行的重要方式,各城市如何对其进行补贴以弥补低票价运营带来的亏损是一个值得研究的重要课题.从城市社会经济发展水平角度研究了城市群地区城际公共交通运营补贴方法,选取运营类指标、社会类指标、公共交通外部性效益类指标3类指标,构建城际公共交通运营补贴分担比例影响因素评价模型,提出一种兼顾公益性的城际公共交通运营补贴分担比例测算方法.通过实例分析,验证该方法的合理性与可实施性,为城市群地区城际公共交通补贴责任划分提供新思路.     

一株秸秆纤维素降解菌株的筛选及其降解特性

纤维素是自然界一种最重要的可再生资源,本文从玉米地土壤中分离出 1 株产纤维素酶能力较强的菌株J-N3。以羧甲基纤维素为唯一碳源的分离培养基和刚果红染色法进行初筛,再将筛选到的菌株进行液体发酵培养并测定酶活。结合形态学特征与分子生物学鉴定结果得知,菌株J-N3为芽孢杆菌属( Bacillus)。并对其酶学性质进行初步研究,得到酶最适pH为6.0时,最适反应温度为50 ℃。玉米秸秆经菌株 J-N3处理20 d 时,秸秆失重率及纤维素分解率分别达到26.22%、31.01%。