高强度钢焊接裂纹检测及其成因分析

为了充分认识高屈强比、高强度低温材料焊接裂纹的敏感性，通过对NK—HIT—EN610U2L低合金高强度钢球罐支柱角焊缝裂纹的检测、解剖对比和成因分析，发现焊缝外表面缺陷与内部焊接缺陷存在一定关系，高应力设计部位比较突出，因此检测与焊接要引起高度注意。     

矩形花键齿形成形研究

运用有限元数值模拟的方法，针对长轴类矩形花键成形时齿形充型不完整的缺陷进行研究，探讨凹模模面的具体参数和毛坯前端倒角对其产生的影响，最终找到最佳的组合。成功地解决了齿形角隅充不满的难题。为现实生产提供理论依据，模拟结果能够很好地指导生产实践。     

库岸边坡变形场与水分场光纤监测技术研究

三峡库区滑坡灾害频发,采用高效的滑坡监测技术对预防和降低滑坡灾害十分重要。本文介绍了ROTDR(Raman Optical Time-Domain Reflectometry)、BOTDR(Brillouin Optical Time-Domain Reflectometry)和FBG(Fiber Bragg Grating)这3种光纤感测技术,以及课题组基于这3种技术研发的滑坡体变形场与水分场监测技术。以三峡马家沟I号库岸滑坡为例,介绍了相关的DFOS(Distributed Fiber Optic Sensing)监测方案、传感器布设工艺、光纤的保护方法和部分水分场及变形场监测结果的分析成果。监测结果表明:DFOS技术应用于库岸滑坡变形场和水分场监测可行,可为研究库岸滑坡演化机理及其预警预报提供一个新的监测手段。     

Security-aware intermediate data placement strategy in scientific cloud workflows

Massive computation power and storage capacity of cloud computing systems allow scientists to deploy data-intensive applications without the infrastructure investment, where large application datasets can be stored in the cloud. Based on the pay-as-you-go model, data placement strategies have been developed to cost-effectively store large volumes of generated datasets in the scientific cloud workflows. As promising as it is, this paradigm also introduces many new challenges for data security when the users outsource sensitive data for sharing on the cloud servers, which are not within the same trusted domain as the data owners. This challenge is further complicated by the security constraints on the potential sensitive data for the scientific workflows in the cloud. To effectively address this problem, we propose a security-aware intermediate data placement strategy. First, we build a security overhead model to reasonably measure the security overheads incurred by the sensitive data. Second, we develop a data placement strategy to dynamically place the intermediate data for the scientific workflows. Finally, our experimental results show that our strategy can effectively improve the intermediate data security while ensuring the data transfer time during the execution of scientific workflows.     

QuEChERS-高效液相色谱串联质谱法测定甜橙中哒螨灵和螺螨酯

[目的]建立了甜橙全果、果肉、果皮、果渣、橙汁和精油等6项基质中哒螨灵和螺螨酯的QuEChERS-高效液相色谱-串联质谱分析检测方法(HPLC-MS/MS)。[方法]甜橙样品经乙腈提取,PSA、GCB、MgSO4净化,高效液相色谱-串联质谱仪配备电喷雾正离子多反应监测(MRM),外标法定量。[结果]甜橙6种基质通过此分析检测方法,哒螨灵和螺螨酯在0.001~1.25 mg/L质量浓度范围线性相关系数不小于0.9965,3个加标水平(0.01、0.5、5 mg/kg)下哒螨灵回收率为81%~93%,RSD为0.5%~6.5%,螺螨酯回收率为81%~99%,RSD为0.5%~7.9%。[结论]该方法简单、方便、灵敏度、准确度高,覆盖甜橙全项样品基质,可适用于大批量样品快速分析。     

基于无线体域网的康复监测系统设计

针对目前运动功能康复过程中生理参数监测的不足,基于无线体域网设计并实现了用于康复训练的监测系统。首先设计心电、肌电、脉搏等信号采集模块并在Crossbow平台基于TinyOS系统组建无线体域网;其次基于ARM9和Linux设计本地网关,监控无线体域网,为患者提供图形界面及数据转发;最后基于VC＋＋开发医疗中心监护系统,并结合Matlab采用小波包变换与经验模态分解算法对生理参数进行特征提取及初步诊断。文中详细介绍了系统软件设计,实验结果表明该系统能实现对患者生理状态实时监控等功能。     

电子辐射对渗透和非渗透性客体上指纹信息记录的影响

由于恐怖分子利用邮政系统投寄携带炭疽病毒的邮件,传播病毒,已引起美国政府在邮政系统,选择地利用电子辐射杀死病毒。然而,这种病毒袭击并没有得到有效控制,却使信封内的邮件由于高温辐射,受到损坏。有报道说,由于电子辐射使纸张、珠宝、信用卡、软盘和光盘及其它电子材料受到损害。某些研究已在法庭科学中得到验证。本文介绍辐射过程在渗透和非渗透性客体上,对化学试剂、生物酶记录指纹信息的影响。     

Discriminative multi-task objects tracking with active feature selection and drift correction

In this paper, we propose a discriminative multi-task objects tracking method with active feature selection and drift correction. The developed method formulates object tracking in a particle filter framework as multi-Task discriminative tracking. As opposed to generative methods that handle particles separately, the proposed method learns the representation of all the particles jointly and the corresponding coefficients are similar. The tracking algorithm starts from the active feature selection scheme, which adaptively chooses suitable number of discriminative features from the tracked target and background in the dynamic environment. Based on the selected feature space, the discriminative dictionary is constructed and updated dynamically. Only a few of them are used to represent all the particles at each frame. In other words, all the particles share the same dictionary templates and their representations are obtained jointly by discriminative multi-task learning. The particle that has the highest similarity with the dictionary templates is selected as the next tracked target state. This jointly sparsity and discriminative learning can exploit the relationship between particles and improve tracking performance. To alleviate the visual drift problem encountered in object tracking, a two-stage particle filtering algorithm is proposed to complete drift correction and exploit both the ground truth information of the first frame and observations obtained online from the current frame. Experimental evaluations on challenging sequences demonstrate the effectiveness, accuracy and robustness of the proposed tracker in comparison with state-of-the-art algorithms.     

信息安全事件快速处置系统构建及模块分析

分析了中国传统网络监管的弊端,并说明信息安全事件快速处置系统的研究价值,在此基础上提出了系统构建模型,及各功能模块的需求及功能描述,为后续工作提供研究依据。