Texture compensation with multi-scale dilated residual blocks for image denoising

Neural Computing and Applications - Deep convolutional neural networks have achieved great success for image denoising recently. However, increasing the depth of the neural network cannot...     

An improved generative adversarial network for translating clothes from the human body to tiled image

Neural Computing and Applications - Nowadays, purchasing the products similar to the styles of stars’ products has become a new trend in e-commerce platforms. Clothing transaction constitutes...     

A deep multi-source adaptation transfer network for cross-subject electroencephalogram emotion recognition

Neural Computing and Applications - In real-world application of affective brain–computer interface (aBCI), individual differences across subjects and non-stationary characteristics of...     

Pricing Exotic Option Under Jump-Diffusion Models by the Quadrature Method

This paper extends the quadrature method to price exotic options under jump-diffusion models. We compute the transition density of jump-extended models using convolution integrals. Furthermore, a simpler and more efficient lattice grid is introduced to implement the recursion more directly in matrix form. It can be shown that a lot of running time can be saved. At last, we apply the developed approach to the different jump-extended models to demonstrate its universality and provide a detailed comparison for the discrete path-dependent options to demonstrate its advantages in terms of speed and accuracy.

     

Creativity in non‐routine jobs: The role of transformational leadership and organizational identification

An increasing number of individuals work in jobs with little standardization and repetition, that is, with high levels of job non‐routinization. At the same time, demands for creativity are high, which raises the question of how employees can use job non‐routinization to develop creativity. Acknowledging the importance of social processes for creativity, we propose that transformational leaders raise feelings of organizational identification in followers and that this form of identification then helps individuals to develop creativity in jobs with little routinization. This is because organizational members evaluate and promote those ideas as more creative, which are in line with a shared understanding of creativity within the organization. To investigate these relationships, we calculated a mediated moderation model with 173 leader–follower dyads from China. Results confirm our hypotheses that transformational leadership moderates the relationship between job non‐routinization on employee creativity through organizational identification. We conclude that raising feelings of social identity is a key task for leaders today, especially when working in uncertain and fast developing environments with little repetition and the constant need to develop creative ideas.     

航天器用实时操作系统设计

针对航天器在应用实时操作系统时的特殊需要,设计了航天器用实时操作系统的总体设计方案及内核;总体设计中,将操作系统分为板卡级驱动层、系统内核层、接口层三个层次,并确定了满足航天器任务的最简需求与各层的关系;在内核设计中,设计了双向链表管理器、多任务调度管理器、时钟管理器、消息队列管理器、中断管理器,并在其中体现了最简设计的思想;最后,对航天器用实时操作系统的可靠性设计思路进行了描述;此操作系统目前已应用多个航天器中。     

基于PXI总线的导弹角速度编码器组合测试系统设计

针对某型导弹角速度编码器组合测试快速化、模块化、自动化的要求,通过对角速度编码器组合进行分析,结合角速度编码器组合输入信号的模拟、输出信号的采集、测试系统功能和性能要求,设计了基于PXI总线的导弹角速度编码器组合测试系统;介绍了测试系统的测试原理、硬件结构和软件组成、主要设计思想;实验表明,该测试系统工作性能稳定,能有效地进行组合测试和分组件测试并运用层次故障树分析法定位故障,提高了武器系统检测维修保障能力.     

VPX总线标准研究及其在无人机中的应用展望

军用无人机以其低成本高效能、体积小隐身性能强、零伤亡等优势,被广泛应用于作战的各个阶段;但随着军事职能的拓展,传统无人机已无法满足在超恶劣战场环境下,完成多任务、分布式数据处理和大容量数据传输的要求,迫切需要一种新的、基于高性能传输总线的、支持多任务处理的无人机设备;VPX标准作为VME标准的升级版本,在国外无人机领域已有所应用;作为新一代军用加固总线产品,它满足串行、千兆高速数据率,支持PowerPC架构且扩展灵活,以其搭建无人机系统,完全可以满足现在乃至未来的需求;通过对无人机未来发展趋势及相关技术驱动因素分析,详细介绍了VPX及其后续OPENVPX标准,将其与之前版本总线进行比较,认为其在无人机系统各领域具有广泛的应用前景,最后给出一种基于VPX总线的无人机系统模型。     

基于神经网络观测器的飞控传感器在线故障诊断

为提高无人机飞行安全可靠性,针对飞行控制系统中常出现的传感器故障以及非线性气动力模型参数难以确定的问题,提出了基于BP神经网络观测器估计的故障诊断方法;引用LM改进算法对网络参数进行调整,构造了神经网络观测器模型逼近非线性系统,并运用于飞行控制系统进行在线数字仿真,对垂直陀螺输出卡死故障、恒偏差故障和恒增益故障分别进行仿真分析;仿真结果表明,所设计神经网络观测器可以有效估计系统输出,在线诊断传感器故障。     

加油站库存信息采集与管理系统

为了提高石油公司对下属加油站库存的管理问题,设计了加油站库存信息采集与管理系统,系统分别由油罐液位仪、加油站管理主机和上级石油运营公司三级组成;油罐液位仪负责采集加油站各油罐内的油位并通过CAN总线发送给管理主机;管理主机接收来自各油罐监液位的数据,经过处理、统计分析、显示并存储到数据库ACCESS2003里;石油运营公司与加油站主机通过TCP/IP网络连接进行数据交互,获取各加油站的库存和销售速度等信息;经过对某加油站内8个椭圆型储油罐进行实验,得出了各油罐内传感器的输出电压、液位高度和剩余油量等数据,并且根据销售油速预测出了断油时间,能够达到及时油品配送的目的,避免断油事故的发生。