A New ID-Based Proxy Multi-Signature Scheme from Bilinear Pairings

ID-based public key cryptosystem can be a good alternative for certifieate-based public key setting. This paper provides an efficient ID-based proxy multi signature scheme from pairings. In the random oracle model, we prove that our new scheme is secure against existential delegation forgery with the assumption that Hess＇s scheme-1 is existential unforgeable, and that our new scheme is secure against existential proxy multi-signature forgery under the hardness assumption of the computational Diffie-Hellman problem.     

有部分个体合作的多个体博弈公共渔业资源的非线性动力学模型分析

在假设部分个体合作部分个体竞争的多个体竞争参与捕捞公共渔业资源条件下,提出了考虑资源消耗与资源再生的动力学模型,然后应用非线性动力学方法分析资源可持续利用（即正平衡态的存在性和稳定性）的条件,最后给出了渔业资源的当前储量保持在什么范围才能维持其再生能力（即资源不枯竭）。     

宁蒙沿黄地带经济增长与环境污染关系研究——基于环境库兹涅茨曲线的实证分析

根据环境库兹涅茨曲线假说,以宁蒙沿黄地带6个城市为案例,通过线性、二次曲线与三次曲线拟合城市工业三废排放量、工业COD排放量、工业SO2排放量与人均GDP的关系,分析宁蒙沿黄地带工业经济增长和环境污染的EKC曲线特征.研究发现,宁蒙沿黄地带城市的工业污染指标较高,且呈现出总体继续恶化的趋势,该地区城市仍处于高耗能、高污染、高排放的发展阶段.6个城市中只有石嘴山总体呈倒U型曲线特征,且刚过转折点,反映石嘴山市资源型城市转型发展初显成效.经济结构调整,资源型城市转型是未来宁蒙沿黄地带扭转污染加剧趋势的战略选择.     

亚纯函数的唯一性定理

首先研究了具有三个公共值的亚纯函数的唯一性定量，推广了Ｈ．Ｕｅｄａ，仪洪勋的结果。另外，还改进了Ｋ．Ｓｈｉｂａｚａｋｉ，仪洪勋和杨重骏，华歆厚等人的结果。     

非线性热传导边值问题的微扰展式方法

本文将微扰展式方法用于研究非线性复合介质的传热情况．由于接触热阻的存在，势在两相界面上不再连续．研究表明，微扰展式方法也适用于研究相界面上势不连续的非线性系统．文中计算了含单个圆柱形杂质的复合介质的温度分布，并讨论了几种特殊情况．     

新型Cd(Ⅱ)配合物的合成、晶体结构和荧光性质研究

以2-(3-吡啶)-4,5-咪唑二羧酸(H3PIDC)为配体,采用溶剂热合成方法得到了配合物[Cd(H2PIDC)(H2O)Cl]n(1),用X-射线衍射法测定了配合物的晶体结构.结果表明,配合物1属于三斜晶系,空间群为P-1,2个Cd原子通过2个氯原子桥连成1个四元环,再通过吡啶环上的氮连成1个1维链状结构.并对配合物做了荧光性质研究.     

一种可并联的1.5KHz~5KHz双三相中频电源设计

无人机大量采用热台方式即发动机直接带交流发电机作为电源系统的主电源,由于无恒速传动装置,其输出频率在1.5KHz~5KHz。输出形式主要有两种：三相高电压和双三相低电压。由于无人机发电机转速高,用热台方式进行地面电网络试验,一次性投入和使用维护成本很高。设计了一种可并联的1.5KHz~5KHz双三相中频电源,极大降低了成本,已应用到无人机的电网络的试验、维护中,从反应情况来看效果十分好。     

Genome-Wide Interaction-Based Association of Human Diseases—A Survey

Genome-Wide Association Studies（GWASs） aim to identify genetic variants that are associated with disease by assaying and analyzing hundreds of thousands of Single Nucleotide Polymorphisms（SNPs）. Although traditional single-locus statistical approaches have been standardized and led to many interesting findings, a substantial number of recent GWASs indicate that for most disorders, the individual SNPs explain only a small fraction of the genetic causes. Consequently, exploring multi-SNPs interactions in the hope of discovering more significant associations has attracted more attentions. Due to the huge search space for complicated multilocus interactions, many fast and effective methods have recently been proposed for detecting disease-associated epistatic interactions using GWAS data. In this paper, we provide a critical review and comparison of eight popular methods, i.e., BOOST, TEAM, epi Forest, EDCF, SNPHarvester, epi MODE, MECPM, and MIC, which are used for detecting gene-gene interactions among genetic loci. In views of the assumption model on the data and searching strategies, we divide the methods into seven categories. Moreover, the evaluation methodologies,including detecting powers, disease models for simulation, resources of real GWAS data, and the control of false discover rate, are elaborated as references for new approach developers. At the end of the paper, we summarize the methods and discuss the future directions in genome-wide association studies for detecting epistatic interactions.     

多特征融合的道路场景语义分割算法

为提升道路场景语义分割的性能以及实际应用性,本文将传统的图像处理算法与深度学习技术相结合,提出了一种多特征融合的轻量级道路场景语义分割网络模型。该模型首先利用颜色空间转化、图像均衡化、边缘检测等算法来对图像多种特征信息进行增强;其次,以深度可分离卷积为基本单元搭建高效率特征提取结构,对特征增强后的图像进行信息融合和提取,并结合跳层上采样操作完成初步分割;最后,引入边缘检测支路来对分割图像的目标边界信息进行细化,保障网络高精度分割。通过实验结果表明,所提网络在分割精度、计算效率上得到了较好的平衡,同时,在实际变电站道路场景应用中,该网络也能实现高效语义分割,为巡检机器人提供有效的道路信息。