Research on Facial Landmark Detection Based on Deep Convolutional Neural Networks

近年来，如何提高优化人脸特征点检测技术已经成为了人脸识别技术领域中的研究热点。许多研究学者相继提出了一些用于求解各种类型的人脸识别问题的人脸特征点检测算法。但在复杂环境下，例如姿势不同、光照条件、以及遮挡因素等，传统的人脸特征点检测算法的精度会出现大幅度下降。本文在全面介绍特征点检测的理论知识以及研究现状的基础上，主要研究如何应用卷积神经网络技术设计出有效的人脸特征点检测算法。本论文的主要研究工作如下： （1）针对传统卷积神经网络模型在处理人脸特征点检测问题的不足之处，提出基于小滤波器的深卷积神经网络（DCNNSF）。该算法引入小滤波器思想和以拓展“网络深度”为优先的深层卷积神经网络模型，针...In recent years, the understanding of the importance of facial landmark detection, how to optimize facial landmark detection technology has become a research hotspot in face recognition. A lot of research scholars have proposed some face facial landmark detection algorithm used to solve various types of face recognition problems, some of them have been successfully applied in the actual project. H...学位：工学硕士院系专业：软件学院_软件工程学号：2432014115240

An Improved Satellite Selection Algorithm Based on Optimal Geometry

随着多星座卫星导航技术的发展,卫星选星算法也日趋重要。为了保证导航定位解算的实时处理能力,在所有可见卫星中合理选取部分卫星用于定位解算,是十分必要的。本文提出了一种基于最优几何分布的改进型选星算法,能够选取多于四颗的卫星用于定位,且卫星几何分布近似最优。算法基于最优几何分布,并利用了模糊综合评判来降低gdOP值的计算次数,减少接收机计算负担。仿真结果表明,改进型选星算法较最优几何分布选星算法在gdOP值上增大不多,而gdOP值的计算次数却能显著地降低,因此提升了接收机实时处理能力。Satellite selection algorithm is becoming more and more important with the advent of multi-constellation navigation.To obtain real-time processing, it's essential to limit the number of satellites used for positioning computation among all visible satellites.In this paper, we propose an improved algorithm to select more than four satellites whose geometry is similar to the optimal geometry.Moreover, the computation burden is further lower by limiting the number of times to calculate GDOP value referring to fuzzy comprehensive evaluation method.Simulation shows that the proposed algorithm can get a GDOP value close to the minimal GDOP using traditional optimal algorithm, in spite of a little increase relative to the original algorithm based on optimal geometry, but the number of times to calculate GDOP value is obviously decreased.高等学校博士学科点专项科研基金(20110121120019); 福建省自然科学基金(2011J01372); 福建省国家高技术研究发展计划(2010HZ0004-1

N-time Division Multiple Access Dynamic Slot Allocation Protocol Based on I-Sequential Vertex Coloring Algorithm

针对移动自组网中介质访问控制层协议的特性,结合实际工程需求,基于I-序列顶点着色算法,提出一种N-时分多址动态时隙分配协议。对协议的帧结构、交互过程及动态时隙分配算法进行分析。在NS2软件上的仿真结果表明,该协议的时隙利用率、吞吐量、平均时延、公平性等均优于IEEE802.11和时分多址协议。According to the characteristics of Medium Access Control(MAC) layer protocol in mobile Ad Hoc network,combining with the actual engineering requirements,N-time Division Multiple Access(TDMA) dynamic slot allocation protocol based on I-sequential Vertex Coloring(SVC) algorithm is proposed.The protocol frame structure,interaction and dynamic slot allocation algorithm are specifically analysed and described.This protocol is simulated under NS2 Jesuits show that the algorithm has better performance on high slot utilization throughput,average latency,fairness and other parameters than IEEE802.11 and Time Division Multiple Access(TDMA) protocols.厦门大学海西通信工程技术中心开放基金资助项目(HXCXJJ2014-012

High-speed communication interface based on SOPC

基于fPgA的可编程片上系统(SOPC)以其设计灵活、可裁剪、软硬件可在线编程等特点和优势,成为嵌入式系统设计,乃至电子领域发展的一个重要方向。用户IP核的设计是SOPC设计的重要组成部分,介绍了通信系统的SOPC系统架构,提出利用IPIf将用户IP核挂载到Plb总线上的方法,给出了rlC和物理层接口的IP核的设计与实现。设计中首先把IPIf信号转换成用户逻辑的内部信号,同时对不同速率的接口进行数据缓存,实现流水线传输,从而提高传输速率。FPGA-based Programmable System on Chip(SoPC)with its flexible design,scalable,hardware and software online programming and other features and advantages,becomes an important direction of the embedded system design,and even the development of electronic.User IP core design is an important part of SoPC design.The paper first briefly introduces the SoPC architecture of communication system,and then makes use of IPIF to mount the user IPcore to the PLB bus,at last gives the design and implementation of RLC and PHY Layer interface IP core.In the design,first transfer the IPIF signals into the user logic internal signal,and then cache data of the interface of different rates,to realize the pipelined transmission and improve the transmission speed.福建省重大专项项目资助(2009HZ0003-1

Reorder discrete cosine transform method for video compression

为了提高离散余弦变换(dCT)在视频图像编码中的效率,根据dCT对非水平/非垂直残差信号较敏感的特点,从改变残差信号分布的角度出发,提出一种重排dCT方法.对待编码的残差图像块进行像素位置重排,使得残差信号的方向与水平或垂直方向相一致;对重排后的图像块进行2维dCT,从而减少dCT系数的高频分量,提高压缩效率.实验结果表明:在不考虑重排信息的情况下,重排dCT比传统dCT性能提高0.20~0.30db;在考虑重排信息的情况下,重排dCT比传统dCT性能提高0.05~0.20db.In traditional video compression,discrete cosine transform (DCT) is sensitive to the prediction error with non-horizontal or non-vertical orientations.To improve the performance of DCT in video compression,this work proposed a reorder DCT method,from the view point of modifying signal distribution.In the algorithm,reorder operation was first used to change the pixel position of the blocks to be transformed,and then 2D-DCT was applied.Experimental results show that the reorder DCT can reduce the number of DCT coefficients at high frequency.Compared to the traditional DCT,the reorder DCT achieved 0.20-0.30 dB peak signal-to-noise ratio (PSNR) gain without reorder information.With reorder information,0.05-0.20 dB PSNR gain could be obtained.福建省科技厅重大专项资助项目(2007HZ0003

深度卷积神经网络应用于人脸特征点检测研究

为解决在复杂环境下,如姿势不同、光照条件以及遮挡等因素导致传统人脸特征点检测算法的精度大幅度下降的问题,在特征点检测理论知识以及研究现状的基础上,针对传统卷积神经网络模型在处理人脸特征点检测问题时的不足之处,提出基于小滤波器的深卷积神经网络。算法引入小滤波器思想和以拓展\"网络深度\"优先的深层卷积神经网络模型,针对人脸特征点检测重新设计训练,提高了算法的有效性与适用性。通过将算法应用于ALFW和AFW人脸数据集上预测5点人脸特征点问题,并与其他多个经典算法进行对比分析,结果表明:基于小滤波器的深卷积神经网络在预测人脸5点特征点问题上有更好的准确性和鲁棒性。福建省中青年教师教育科研项目(No.JZ160238);;国家自然科学基金(No.61502402);;福建省自然科学基金(No.2015J05129

大洋溶解铁的物质来源及其同位素示踪

铁(Fe)作为海洋初级生产所必需的微量和限制性营养元素影响着海洋生物群落结构、生态功能以及碳循环,理解溶解Fe的物质来源及其对气候变化的响应具有重要的科学意义。早期研究多强调风尘输入是维持大洋Fe循环的主要机制。近年来,随着海水Fe分析数据的积累,尤其是痕量元素及其同位素海洋生物地球化学循环研究计划(GEOTRACES)的开展,陆架沉积物和热液活动所释放Fe的贡献开始越来越受到重视。尽管如此,不同物源对开阔大洋溶解Fe的影响依然存在相当的不确定性。以海水溶解Fe的化学组分为出发点,强调有机配体对大洋Fe循环的决定性作用,综述了不同来源Fe的通量估计和第四纪大洋Fe来源的研究争议。铁同位素为理解大洋Fe的物源演变提供了新的工具。讨论了不同物源的Fe同位素特征,并提出结合沉积物的活动性Fe同位素和组分研究可能为理解过去陆架-热液活动-风尘输出与输运Fe的机制提供全新视角。西太平洋地球系统多圈层相互作用重大计划培育项目“上新世以来西太平洋沉积铁同位素演化研究”(91858105)国家海洋局海洋沉积与环境地质重点实验室开放基金资助项目“晚第四纪北太平洋深水铁同位素演化重建:对大洋铁循环的新约束”(MASEG201711)青岛海洋科学与技术试点国家实验室海洋地质过程与环境功能实验室创新团队资助项目“利用西太平洋铁锰结壳微量金属重建新生代火山喷气历史”(MGQNLM-TD201701

Frequency Synchronization Techniques forWireless Cooperative Diversity-Based Ad-Hoc Network

下一代移动通信系统的研究工作将朝着“无论何时、何地、可与任何人通信”的最高目标发展，无线自组网则被认为是未来移动通信的核心技术之一。无线环境中的衰落使得自组网通信系统的性能受到严重影响，将协作分集通信应用于自组网中，能够充分利用自组网多节点优势来获取空间分集度，提高通信的可靠性，增大网络的覆盖范围，扩展网络容量，因此，将协作分集通信和自组网设计相结合具有很大的研究意义和实用价值。 本文对OFDM自组网通信系统中引入协作分集技术所碰到的多节点频偏问题展开研究。文章在定量地分析了频偏对DOSTBC-OFDM(基于分布式正交空时码的OFDM)系统性能的影响的基础上，提出了一种适用于TDMA自组...The next generation mobile communication systems are supposed to develop toward the supreme goal "one can communicate with any person at anytime, anywhere" and the wireless ad-hoc network is considered to be the core technology of future mobile communication. The performance of communication system is seriously damaged due to the wireless fading channels, then the cooperative diversity commun...学位：工学博士院系专业：信息科学与技术学院通信工程系_通信与信息系统学号：2332008015053

Inter-block Differentially Coherent Integration for GPS L5 signal acquisition

Conference Name:2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013. Conference Address: Yangzhou, Jiangsu, China. Time:March 23, 2013 - March 25, 2013.The performance of GPS L5 acquisition is greatly affected by secondary codes, the NH codes with possible bit sign transition every millisecond modulated on the signal, which limits the achievable coherent integration gain. In this paper, a new acquisition method of GPS L5 signal, called Inter-Block Differentially Coherent Integration (IBDCI), is proposed to deal with such problem. The proposed method can be viewed as an extension of the conventional differentially coherent integration, and outperforms other post-correlation integration techniques such as non-coherent integration and conventional differentially correlation integration. ? 2013 IEEE