从伪造宗族文书个案透视司法实践与传统文化之关系

宗族是近代农村社会关系的基本单位。通过对一系列关于伪造宗族文书个案进行考察与分析,从不同维向探寻司法实践与传统文化互为表里的关系,呈现民国司法与民国社会、政治、经济和文化等多维层面特征。     

地方新建本科高校办学定位分析及应对策略

20世纪末以来，中国高等教育管理体制改革催生了一大批地方新建本科高校。这些高校是中国高等教育普及化的实践者，却存在办学层次、人才培养和服务面向定位不准确的问题。针对办学定位不准的原因分析，必须调整、优化地方新建本科高校的内部和外部环境，才能保证这些高校的可持续发展。     

福建省海洋工业企业竞争力研究

在界定"海洋工业"的基础上,利用"中国工业企业数据库(2007)"中福建省1 292家海洋工业企业的数据,从生产能力、盈利能力、创新能力和市场适应能力四个方面,运用熵值法进行企业竞争力分析。研究发现:创新能力和出口能力对海洋工业企业竞争力的影响最大,海洋生物医药企业竞争力最强,海洋电力、海洋渔业和海洋船舶企业竞争力次之。但所有企业生产能力和盈利能力均有待提高。应从支持科技创新,做强主导产业,鼓励潜力产业,促进产业集聚和加大国内国外合作可有效提升福建省海洋工业企业的竞争力。     

小型无人机协同覆盖侦察路径规划

针对多架小型无人机对含有障碍的区域覆盖侦察最佳路径规划问题,首先用方形单元格将待侦察区域离散化,利用基于初始位置的划分方法划分出与无人机对应的子区域,把问题转化为单无人机优化问题以降低计算复杂度;然后在最小生成树的基础上提出节点交换法,对各子区域的形状和最小生成树进行调整优化;最后依据优化后的最小生成树为每个子区域构建侦察路径。仿真验证了该方法产生的规划路径能够完全覆盖指定区域且无重叠,路径长度和转弯数最小。     

基于胜任力模型的教师MOOC培训系统设计——以甘肃省中小学心理教师为例

中小学学生的心理健康教育日益凸显迫切性和重要性,甄选和培训优秀的心理健康教育教师成为关键问题,但目前欠发达地区培养心理教师师资存在优良师资欠缺、培训费用有限等问题。文章通过行为事件访谈法采集有效的胜任特征数据,建构出甘肃省中小学心理教师的胜任力模型,并依此设计中小学心理教师大型开放式网络课程(MOOC)培训系统,力图通过"互联网+教育"培训模式有效提高中小学心理教师的胜任力,促进校区心理建设。     

Lattice-Based Double-Authentication-Preventing Ring Signature for Security and Privacy in Vehicular Ad-Hoc Networks

Amidst the rapid development of the Internet of Things(IoT), Vehicular Ad-Hoc NETwork(VANET), a typical IoT application, are bringing an ever-larger number of intelligent and convenient services to the daily lives of individuals. However, there remain challenges for VANETs in preserving privacy and security. In this paper, we propose the first lattice-based Double-Authentication-Preventing Ring Signature(DAPRS) and adopt it to propose a novel privacy-preserving authentication scheme for VANETs, offering the potential for security against quantum computers. The new construction is proven secure against chosen message attacks. Our scheme is more efficient than other ring signature in terms of the time cost of the message signing phase and verification phase, and also in terms of signature length. Analyses of security and efficiency demonstrate that our proposed scheme is provably secure and efficient in the application.     

含有反转、删除或插入操作的部分排序基因组重组

Zheng等给出了一个只含有反转操作的部分排序基因组重组的算法.本文推广了这一结果,给出了允许有删除或插入操作的两个含有不同基因集合的部分排序基因组重组的算法.     

不同应变率和温度下AFRP力学性能试验研究

利用MTS液压伺服高速试验机测试芳纶纤维(Kevlar 29)增强复合材料(AFRP)在不同应变率(25,50,100和200s-1)和温度(-25,0,25,50和100℃)条件下的力学性能.结果表明,在相同温度(25℃)下,随着应变率的增大,杨氏模量和拉伸强度先增大(25~50s-1)后减小(50~200s-1),而韧性则表现为相反的趋势.在相同应变率(25s-1)下,温度的升高会造成杨氏模量出现波动,拉伸强度上升,而韧性则没有明显的改变.不同试验条件下AFRP破坏形态没有明显区别,均为较平整断裂面.最后,通过Weibull分析,量化了破坏强度在不同应变率和温度下的离散程度.     

g支配策略的MOEA/D算法求解多目标流水车间调度问题

采用基于二范数的方法生成权重向量并引入g支配策略对MOEA/D算法进行改进，提出g支配策略的MOEA/D算法（g-MOEA/D）. 将g支配思想与MOEA/D算法有效结合，生成适应决策者DM偏好的有效解的集合，来代替整个Pareto解集或单个有效解，加速种群的收敛性，提高种群的均匀性. 通过仿真实验对比分析g-MOEA/D算法与MOEA/D算法的性能，结果表明，g支配策略的MOEA/D算法所得解集整体性能更优.     

Two Innovative Coalition Formation Models for Dynamic Task Allocation in Disaster Rescues

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single (task)-to-single (agent) task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.