低功耗温室无线测量节点的设计

为了提高温室环境参数的监测效果,采用射频SoC芯片nRF9E5、数字温湿度传感器SHT11及光强度传感器TSL2560D,设计了无线温湿度及光照度监控系统的测量节点;并根据无线通信系统的特点设计了系统的软硬件结构,其低功耗无线传输模式降低了节点的能耗.经调试和试验运行,系统具有可靠性高、使用方便、通信节点容量易扩展等优点,这对较大空间的温湿度及光照度的监控具有良好的应用价值.     

P2P僵尸网络的检测技术

点对点(P2P)分布式架构的提出为恶意代码提供了更具隐蔽性和弹性的命令分配机制,使得P2P僵尸网络成为互联网上最严重的威胁之一.研究这种僵尸网络的检测技术非常具有现实意义,由于它具有较强的个性化差异,目前还没有通用的检测方法,现有的检测方法主要是通过分析其恶意行为及网络通信流量,析取其内在活动规律和传播机制等.讨论了P2P僵尸网络的结构和机制,分析相关的几种主要的检测技术并对未来可能的研究重点作出了预测.     

PostgreSQL存储过程移植方法

在对PostgreSQL存储过程处理机制进行研究的基础上,分析了Oracle存储过程移植到PostgreSQL时的语法、参数默认值、out参数、事务回滚、游标和内置函数等问题,并从成本、收益和技术难度的角度比较了两种存储过程移植方法--改写存储过程方法和扩展PostgreSQL的存储过程功能方法.深入研究了通过扩展PL/pgSQL源码来调整PostgreSQL存储过程功能的PLSE方法.     

作战行动建模资源库系统研究

该文分析了作战行动建模资源库的特点,确定了基于WEB的分布式作战行动建模资源库系统的体系结构和功能,选取了XML描述资源元数据信息,并提出了基于本体的智能搜索引擎。     

一种嵌入式视频存储的专用文件系统设计

基于嵌入式视频存储的特点,分析目前已有的文件系统在视频应用上的不足,提出了适合硬盘录像机的专用文件系统设计方案,并从数据存储、检索、读取和恢复等方面阐述了设计思想及具体实现。经过在相关产品上的应用,表明该文件系统可以实现高效、安全的视频存储。     

基于蚁群算法的网格资源发现模型研究

本文通过对传统的网格资源发现存在的问题进行分析,针对其不足,引入蚁群算法,提出基于蚁群算法的网格资源发现模型（AA_GRRM）,设计并分析AA_GRRM的体系结构,并对其关键模块分析设计,以提高网格资源发现效率。     

Unified multi-domain modelling and simulation of space robot for capturing a moving target

Space robotic systems are expected to play an increasingly important role in the future on-orbit service. The applications include repairing, refueling or de-orbiting of a satellite, or removal of the space debris. The dynamical performances of space robotic system result from the multi-physics interactions between mechanical, electrical, electronic, control, etc. In this paper, we developed a unified multi-domain modelling and simulation system. The system is composed of the following modules: the path planner, joint controllers, motor and its driver, gearing mechanism of the space manipulators, the Guidance, Navigation, and Control (GNC) system, the actuators of the base, and the orbital environment, orbital dynamic and the multi-body dynamic of the whole system, etc. Based on this system, the operation during different stages, including far range rendezvous, close range rendezvous (is usually divided into two sub-phases: closing and final approach) and target capturing can be studied from the view of multi-physics domains. The key algorithms, such as pose (position and attitude) measurement, GNC of the base, path planning and control of the space manipulator, and so on, can be validated using the system. As examples, the capturing processes of a moving target under free-floating and attitude-controlled modes are simulated and the simulation results are given.     

A power- and coverage-aware clustering scheme for wireless sensor networks

A common and critical operation for wireless sensor networks is data gathering. The efficient clustering of a sensor network that can save energy and improve coverage efficiency is an important requirement for many upper layer network functions. This study concentrates on how to form clusters with high uniformity while prolonging the network lifetime. A novel clustering scheme named power- and coverage- aware clustering (PCC) is proposed, which can adaptively select cluster heads according to a hybrid of the nodes' residual energy and loyalty degree. Additionally, the PCC scheme is independent of node distribution or density, and it is free of node hardware limitations, such as self-locating capability and time synchronization. Experiment results show that the scheme performs well in terms of cluster size (and its standard deviation), number of nodes alive over time, total energy consumption, etc.     

Extended object model for product configuration design

This paper presents an extended object model for case-based reasoning (CBR) in product configuration design. In the extended object model, a few methods of knowledge expression are adopted, such as constraints, rules, objects, etc. On the basis of extended object model, case representation model for CBR is applied to product configuration design system. The product configuration knowledge can be represented by the extended object. The model can support all the processes of CBR in product configuration design, such as case representation, indexing, retrieving, and case revising. The presented model is an extension of the traditional object-oriented model by including the relationship class used to express the relation between the cases, constraints class used in the product configuration knowledge representation, index class used in case retrieving, and solution class used in case revising. Therefore, the product configuration knowledge used in the product configuration design can be represented by using this model. In the end, a metering pump product configuration design system is developed on the basis of the proposed product configuration model to support customized products.     

Multi-agent and driving behavior based rear-end collision alarm modeling and simulating

Distance-between-vehicle-measurement is the only factor in traditional car rear-end alarm system. To address the above problem, this paper proposes an alarming model based on multi-agent systems (MAS) and driving behavior. It consists of four different types of agents that can either work alone or collaborate through a communications protocol on the basis of the extended KQML. The rear-end alarming algorithm applies the Bayes decision theory to calculate the probability of collision and prevent its occurrence real-time. The learning algorithm of driving behavior based on ensemble artificial neural network (ANN) and the decision procedure based on Bayes’ theory are also described in this paper. Both autonomy and reliability are enhanced in the proposed system. The effectiveness and robustness of the model have been confirmed by the simulated experiments.