18650磷酸铁锂电池不同放电倍率下产热机理研究

利用多物理场耦合软件COMSOL-Multiphisics建立了二维轴对称电化学-热耦合模型.探究了不同倍率放电下18650磷酸铁锂电池电极区域和隔膜区域的产热情况,并根据不同区域的热量积累,进一步分析了放电倍率的增加对反应热、欧姆热以及极化热等不同类型产热的影响.结果表明:随着放电倍率的增加,产热区域主要以正极产热和隔膜产热为主,产热类型主要以欧姆热为主,3 C放电时欧姆热占总产热的72.43％,反应热和极化热相对占比较小.     

基于混合参数蚁群算法的移动机器人路径规划北大核心

针对传统蚁群算法因初期信息素分布不均导致算法初期路径选择概率随机性大、搜索速度慢等缺陷,设计一种使用混合参数的蚁群改进算法。在算法开始阶段引入遗传算法,对遗传算法的适应度函数进行改进;设置一个评价点使遗传算法在合适的时机进入蚁群算法,并对算法的信息素挥发因子p采用一种自适应调整方式;对遗传算法的交叉率和变异率以及蚁群算法的信息因子和期望因子采用变异的混合参数,发挥4个参数因子在算法中的优点;在蚁群算法后面设置一个路径进化率的评价点判定是否再次进行遗传变异操作,目的是使蚁群算法跳出局部最优;算法最后引入B样条曲线光滑机制。实验结果表明:改进算法在简单和复杂的环境里找到的路径长度和路径拐点数明显减少,有比其他3种算法更快更准的寻找全局最优能力。     

钨粉表面化学镀铜研究

为了提高钨粉制品的性能,采用正交实验方法,利用SEM、XRD、EDS等分析手段,系统研究了化学镀铜主要工艺参数对钨粉表面化学镀铜的影响规律。结果表明:在温度固定条件下,各因素对镀液稳定性影响的显著性顺序是:硫代硫酸钠加入量>pH值>χ(Tar2-/Cu2 )>甲醛加入量,而对镀速影响的显著性顺序是:χ(Tar2-/Cu2 )>pH值>甲醛加入量>硫代硫酸钠加入量;较佳的钨粉表面化学镀铜工艺为:五水硫酸铜8g/L;酒石酸钾钠28g/L;EDTA0.75g/L;NaOH8.5g/L;硫代硫酸钠10mg/L;甲醛7.5ml/L;pH=12;温度40℃。采用所推荐的工艺,成功的在钨粉上获得了化学镀铜层。     

一种基于蚁群算法的呼叫中心人力需求计算方法

针对呼叫中心人力需求优化这一离散约束问题,基于Dantzig提出的集合覆盖模型,建立了单技能呼叫中心的人力需求计算线性规划模型,并提出一种基于改进蚁群算法的求解方法.在该方法中,对算法的信息素更新规则进行了修改,并基于MATLAB编程针对实例进行仿真分析.选取统计学指标将算法的仿真结果与遗传算法进行对比,结果表明:基于蚁群算法的方法计算复杂度可行;能够节约人力,且话务员匹配度可满足实际运营需求;为智能算法在呼叫中心人力需求计算问题上的应用研究提供了一种新的解决思路.     

基于外观的复合属性学习的细粒度识别

由于语义可理解性及共享性,视觉属性作为刻画对象的中间特征表示在众多领域得到了广泛应用。视觉属性学习中,大量的人工成本用于属性定义和标注,因此难以避免地引入了主观偏见,属性表示的类别判别性难以保证,尤其面临对判别性要求较高的细粒度识别任务时更为明显。复合属性符合人类认知规律以及对象复杂多模分布的事实,从刻画对象的分布入手,以较低廉的代价建立兼具一定描述能力及较好判别能力的特征表示,以应对细粒度识别任务对判别特征和判别模型的较高要求。在细粒度识别代表性公开数据集CUB上验证了所提方法的有效性。在细粒度识别任务中,复合属性表现出比人工定义的属性以及类别判别属性更优的性能。     

Page segmentation using minimum homogeneity algorithm and adaptive mathematical morphology

Document layout analysis or page segmentation is the task of decomposing document images into many different regions such as texts, images, separators, and tables. It is still a challenging problem due to the variety of document layouts. In this paper, we propose a novel hybrid method, which includes three main stages to deal with this problem. In the first stage, the text and non-text elements are classified by using minimum homogeneity algorithm. This method is the combination of connected component analysis and multilevel homogeneity structure. Then, in the second stage, a new homogeneity structure is combined with an adaptive mathematical morphology in the text document to get a set of text regions. Besides, on the non-text document, further classification of non-text elements is applied to get separator regions, table regions, image regions, etc. The final stage, in refinement region and noise detection process, all regions both in the text document and non-text document are refined to eliminate noises and get the geometric layout of each region. The proposed method has been tested with the dataset of ICDAR2009 page segmentation competition and many other databases with different languages. The results of these tests showed that our proposed method achieves a higher accuracy compared to other methods. This proves the effectiveness and superiority of our method.     

Ergonomic Analysis of Head‐Mounted Night Vision Goggle Systems in Simulated Ground Operations

This study compared the mounting time and strain on the head‐neck while using an old model (forehead and cheek supported) and a new model (head harness supported) of head‐mounted night vision goggle systems in the postures of standing, sitting, and lying prone. The results showed that effectively reducing the mounting time was attributed to the ease and less time required for length adjustments of the head harness in the new model. The novel device received higher positive subjective ratings for convenience and comfort while wearing than did the old model. Although the weight of the new model was decreased to 0.794 kg and the length was reduced to 0.155 m, the loads on the head‐neck complex remained high. These findings suggest that a rifle should be fitted with the night vision goggle or handheld model to decrease neck‐shoulder workload if the prone position is the most frequent and important posture for soldiers. © 2011 Wiley Periodicals, Inc.     

Enhanced security in internet voting protocol using blind signature and dynamic ballots

In this paper, we introduce an internet voting protocol which satisfies desired security requirements of electronic voting. In the newly proposed protocol, we allow the adversaries to get more power than in any previous works. They can be coercers or vote buyers outside, and corrupted parties inside our system. These adversaries also have ability to collude with each other to ruin the whole system. Our main contribution is to design an internet voting protocol which is unsusceptible to most of sophisticated attacks. We employ the blind signature technique and the dynamic ballots instead of complex cryptographic techniques to preserve privacy in electronic voting. Moreover, we also aim at the practical system by improving the blind signature scheme and removing physical assumptions which have often been used in the previous works.