基于相位信息与空间关系的路面裂缝检测

针对传统边缘检测算法的不足,分析路面裂缝低信噪比特点,提出了一种基于相位信息与区域空间关系的路面裂缝检测方法。首先,利用相位信息计算成对像素的相似性,并引入空间关系,使得位于边缘同侧的相似性增强,异侧的相似性减弱,然后应用谱方法进行聚类,完成裂缝边缘提取。实验结果表明方法有效。     

基于外部压力的我国上市公司环境信息披露

以我国沪市A股制造业上市公司为研究样本,从外部压力角度,分析合法性压力和投资者关注度对企业环境信息披露行为的影响。研究发现：合法性压力越大,上市公司越有可能进行环境信息披露;投资者关注度对上市公司环境信息披露呈现微弱正相关关系,但在统计上不显著。     

Areas vulnerable to natural disasters and damage estimation of infrastructure in Busan,Korea

Since the damages caused by disasters associated with climate anomalies and the diversification of the social structure increase every year, an efficient management system associated with a damage assessment of the areas vulnerable to disasters is demanded to prevent or mitigate the damages to infrastructure. The areas vulnerable to disasters in Busan, located at southeastern part of Korea, were estimated based on historical records of damages and a risk assessment of the infrastructure was performed to provide fundamental information prior to the establishment of the real-time monitoring system for infrastructure and establish disaster management system. The results are illustrated by using geographical information system（GIS） and provide the importance of the roadmap for comprehensive and specific strategy to manage natural disasters.     

Understanding taxi driver＇s cruising behavior with ZIP model

The taxi drivers＇ cruising pattern was learned using GPS trajectory data collected in Shenzhen, China. By employing zero-inflated Poisson model, the impacts of land use and previous pick-up experience on cruising decision were measured. The cruising strategies of different types of drivers as well as the top one driver were examined. The results indicate that both land use and previous pick-up experience affect travel behavior with the former＇s influence （7.07 × 10-4 measured by one of the coefficients in zero-inflated Poisson model） being greater than the latter＇s （4.58×10-5） in general, but the comparison also varies across the types of drivers. Besides, taxi drivers＇ day-to-day learning feature is also proved by the results. According to comparison of the cruising behavior of the most efficient and inefficient driver, an efficient cruising strategy was proposed, that is, obeying the distribution of land use in choice of cruising area, while learning from pick-up experience in selection of detailed cruising location. By learning taxi drivers＇ cruising pattern, the development of measures of regulating travel behaviors is facilitated, important factor for traffic organization and planning is identified, and an efficient cruising strategy for taxi drivers is provided.     

感知神经网络的信息传输及电路实现研究

为提高神经元网络信号的传输效率,改善人们对外界刺激的感知能力,本文采用平均互信息量的评价方法,研究了费茨休夫-南云感知神经元模型中信息传输的随机共振现象,探讨了并联单层神经元网络和双层神经元网络的信息处理功能,并用PSpice电路对神经元网络的信息传输进行了实验验证。数值模拟与电路仿真结果表明,FHN神经元并联模型和双层神经元网络具有随机共振现象,在一定的噪声强度范围内,双层神经元网络对输入信号的响应好于单层神经元网络,噪声能够提高神经元网络的输入输出互信息量,平均互信息量的最大值对应最优的传输性能,证明噪声对神经网络信息传输具有增强作用。该研究对感知神经元群体的信息传输具有重要的启示意义。     

基于云模型构造BPA的瓦斯监测证据合成算法

煤矿瓦斯监测中,利用D-S证据合成方法实现多传感器信息融合可以提高系统整体决策和预警能力.根据煤矿安全规范设定区域危险等级,使用云模型建立危险等级属性隶属度曲线簇,输入传感器检测量提取各属性隶属度作为D-S融合的基本概率赋值.为了实现高度冲突证据合成,提出D-S与加权平均法混合的分步证据合成算法.仿真结果表明文中提出的算法合成高度冲突证据时,具有令人满意的收敛效果.     

云环境下基于用户需求的信息资源共享模式

通过文献分析和问卷调查等研究方法,对不同类型用户需求进行分析研究,提出了云环境下信息资源共享模式是满足用户信息需求的最佳途径的观点。在对云计算核心技术和平台架构进行探讨的基础上,详细论述了云计算环境下信息资源共享的优势,如云计算延伸了信息资源共享模式,扩大了用户服务范围,变革了用户服务方式,弥补了资源建设经费不足的难题,使信息资源共享的长效机制得以形成。     

基于威胁的信息系统安全技术选择策略研究

利用博弈论研究了基于信息系统安全威胁类型的安全技术选择与资源优化配置问题,同时考虑了具体威胁类型、信息系统安全技术特征、成本与组合效率等因素,指出了组织在信息系统安全管理时所选择的安全技术首先应当能够处理或弱化其所面临的大部分威胁,即以威胁为安全技术选择的基础,并且组织为了实现对有限资源的优化配置,应根据各种威胁导致的期望损失来确定相应的安全技术选择概率。模型将安全技术对不同威胁的检测率与误检率加以区分,较一种安全技术对所有威胁只有一个笼统的检测率和误检率更具实际意义。     

市级农村综合信息服务体系的建设与措施

简述市级农村综合信息服务体系的服务功能和市、县、乡、村四级农业信息服务网络体系,给出市级信息网络平台及数据中心的建设主要内容,提出建设农村综合信息服务体系,及加快实现农村信息化的措施。