ZigBee技术在家居智能监控中的应用研究

为了解决传统智能家居监控系统中的布线复杂、通讯盲区和高功耗问题,提出和设计了一套基于ZigBee技术的智能家居远程监控系统。文中给出了智能家居系统的整体架构,阐述了系统实现的关键技术问题。采用MCF52235高性能微控制器、ZigBee通信芯片CC2480和短信收发模块构成家庭智能控制器。分析了其内部网可采用ZigBee技术构建低能耗、大范围的无线通讯网络,以实现家居远程监控系统低功耗、低成本、易扩展和无缝通讯要求。初步实验表明,该家居控制器平台上可实现对家庭住宅的远程监控。     

A hybrid agent architecture integrating desire,intention and reinforcement learning

This paper presents a hybrid agent architecture that integrates the behaviours of BDI agents, specifically desire and intention, with a neural network based reinforcement learner known as Temporal Difference-Fusion Architecture for Learning and COgNition (TD-FALCON). With the explicit maintenance of goals, the agent performs reinforcement learning with the awareness of its objectives instead of relying on external reinforcement signals. More importantly, the intention module equips the hybrid architecture with deliberative planning capabilities, enabling the agent to purposefully maintain an agenda of actions to perform and reducing the need of constantly sensing the environment. Through reinforcement learning, plans can also be learned and evaluated without the rigidity of user-defined plans as used in traditional BDI systems. For intention and reinforcement learning to work cooperatively, two strategies are presented for combining the intention module and the reactive learning module for decision making in a real time environment. Our case study based on a minefield navigation domain investigates how the desire and intention modules may cooperatively enhance the capability of a pure reinforcement learner. The empirical results show that the hybrid architecture is able to learn plans efficiently and tap both intentional and reactive action execution to yield a robust performance.     

一类不确定奇异系统的鲁棒控制

研究一类不确定奇异系统的广义二次可稳性问题,给出此类不确定奇异系统广义二次稳定及广义二次可稳的概念,通过构造线性矩阵不等式,并利用矩阵Schur补引理,获得了此类不确定奇异系统广义二次可稳的充分必要条件,同时提出了闭环系统状态反馈控制律的设计方法,并用数值算例验证了该方法的有效性.     

Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework

This correspondence presents a novel hybrid wrapper and filter feature selection algorithm for a classification problem using a memetic framework. It incorporates a filter ranking method in the traditional genetic algorithm to improve classification performance and accelerate the search in identifying the core feature subsets. Particularly, the method adds or deletes a feature from a candidate feature subset based on the univariate feature ranking information. This empirical study on commonly used data sets from the University of California, Irvine repository and microarray data sets shows that the proposed method outperforms existing methods in terms of classification accuracy, number of selected features, and computational efficiency. Furthermore, we investigate several major issues of memetic algorithm (MA) to identify a good balance between local search and genetic search so as to maximize search quality and efficiency in the hybrid filter and wrapper MA     

可编程控制器在煤车上的应用

在煤车电气控制中使用可编程控制器，通过程序来实现合理取煤和顺序加煤，满足生产工艺的需要。     

纳米γ-Fe2O3/SiO2复合氧化物的制备及气敏性质

Nanostructured γ-Fe2O3/SiO2 complex oxide was prepared by sol-gel method with tetraethoxysilane and iron nitrate as precursors. The particle size distribution, thermal and phase stabilities and gas sensing properties were systematically characterized by TEM, granularity distribution, TG-DTA, XRD and gas sensitivity measurements. The particle size is about 10 nm and size distribution is very narrow. The sensitivity of the sensing element to CO, H2, C2H4, C6H6 and the effects of zalcination temperature on the sensitivity and conductance of gases were examined. The combination of excellent thermal stability and tunable gas sensing properties through careful control of the preparation and judicious selection of material compositions gives rise to novel nanocomposites, which is attractive for the sensitive and selective detection of reducing gases and some hydrocarbon gases.     

考虑黏聚力损失的岩石残余强度模型与数值验证

岩石的峰后力学性质对于维持岩土工程结构的稳定性至关重要,为研究岩石峰后残余强度的确定方法,利用岩石进入残余强度阶段后摩擦力强度增强、黏聚力强度减小的特点,通过假定岩石进入残余变形阶段后黏聚力强度为0,基于HOEK-BROWN破坏准则,建立了一种考虑岩石进入残余强度阶段时黏聚力损失的岩石残余强度模型。用该模型拟合完整粗晶大理岩的室内三轴试验结果,并与已有M-C模型和Joseph模型等方法对比分析,讨论了模型的优势。将该模型嵌入到FLAC3D软件中进行数值模拟验证,结果表明:该岩石残余强度模型能正确反映不同围压条件下岩石力学响应的基本规律,得到的残余强度值与试验结果吻合良好,其随围压变化的拟合曲线符合试验数据拟合结果的特点,即经过原点及高围压条件下未出现应变硬化现象。研究成果对分析岩石残余强度的确定方法具有较强的参考价值或指导意义。     

A complete tolerance charting system

Manual computation of tolerance charts is both tedious and time-consuming. This paper presents an efficient method of automatically determining the working dimensions and their balanced tolerances. With this method, the feasibility of different process plans can be evaluated efficiently and economically. A unique algorithm, based on a special path tracing technique, is developed to reduce the unknown working dimensions to a system of linear equations. The Gauss elimination technique is then employed to solve for the working dimensions. The tolerance balancing process is accomplished using a separate mathematical model. The complete system, comprising the tolerance charting and optimization modules, is finally tested on an example.