软@硬复合炭结构设计及其协同电化学储钾

软@硬复合炭结构有助于协同改善炭负极材料的电化学储钾性能,但目前对不同复合结构对电化学储钾性能的影响规律仍缺乏系统研究。有鉴于此,将罗丹宁和嵌段共聚物F127作为硬炭前驱体,煤沥青热挥发份作为软炭前驱体,通过共炭化与气相沉积的协同使用,开发硬炭、软/硬三维杂化炭结构、软炭壳@硬炭核复合结构,并研究3种结构对电化学储钾性能的影响。软炭壳@硬炭核复合材料具有高可逆容量(0.05 A·g^-1下容量为365 mA·h·g^-1)、高循环稳定性(100圈循环后容量保持率为80%)、高倍率性能(1 A·g^-1下容量为177 mA·h·g^-1)的特征。硬炭核丰富的缺陷活性位点可提高复合材料储钾容量。软炭壳的涡轮碳结构可覆盖硬炭表面缺陷,促进钾离子去溶剂化嵌入以改善循环稳定性。此外,高导电性软炭壳可改善电荷交换,进而提高复合材料的倍率性能并缓解电压滞后。得益于软炭与硬炭复合结构的协同储钾机制,软炭壳@硬炭核复合材料表现出明显优于硬炭的电化学储钾性能。     

一种改进型中频数字化正交解调结构

提出了一种改进型中频数字化正交解调结构,通过在现场可编程门阵列内部对采样数据流拆分后,分路进行数字解调的方法,大幅降低了现场可编程门阵列的内核工作频率。解决了中频数字接收机使用超高速A/D转换器时,对可编程门阵列内核频率要求过高的问题。详细介绍了新结构的组成和工作原理,并使用SIMULINK对新结构建模和仿真,验证了其可行性。     

A blog emotion corpus for emotional expression analysis in Chinese

Weblogs are increasingly popular modes of communication and they are frequently used as mediums for emotional expression in the ever changing online world. This work uses blogs as object and data source for Chinese emotional expression analysis. First, a textual emotional expression space model is described, and based on this model, a relatively fine-grained annotation scheme is proposed for manual annotation of an emotion corpus. In document and paragraph levels, emotion category, emotion intensity, topic word and topic sentence are annotated. In sentence level, emotion category, emotion intensity, emotional keyword and phrase, degree word, negative word, conjunction, rhetoric, punctuation, objective or subjective, and emotion polarity are annotated. Then, using this corpus, we explore these linguistic expressions that indicate emotion in Chinese, and present a detailed data analysis on them, involving mixed emotions, independent emotion, emotion transfer, and analysis on words and rhetorics for emotional expression.     

Dynamically modulated intensity interrogation scheme using waveguide coupled surface plasmon resonance sensors

An electro-optically modulated intensity interrogation method based on tunable waveguide coupled surface plasmon resonance sensors has been proposed. It has been theoretically and experimentally demonstrated that the proposed scheme can enable sensitive measurement of measurand variations. By modulating the refractive index in the waveguide layer, this interrogation method yields modulated signal whose amplitude is related to measurand's refractive index. This amplitude modulated signal offers a higher signal to noise ratio and eliminates additive noise in the sensor system. A preliminary investigation using saline buffers with different NaCl concentrations shows a resolution of 2.3 × 10^?6 refractive index unit by our approach. Resolution can be controlled by the amplitude of the applied modulation voltage and can be further enhanced by optimizing the device structure or improving the electro-optical (E-O) coefficient of the E-O material. This approach is simple, stable, and promising for low-cost or multi-channel SPR biosensor applications.     

An improved differential evolution algorithm for vehicle routing problem with simultaneous pickups and deliveries and time windows

The vehicle routing problem with simultaneous pickups and deliveries and time windows (VRP-SPDTW) is the problem of optimally integrating forward (good distribution) and reverse logistics (returning materials) for cost saving and environmental protection. We constructed a general mixed integer programming model of VRP-SPDTW. The model contained some classical vehicle routing problems as special cases. We proposed an improved differential evolution algorithm (IDE) for solving this problem. In the algorithm, we firstly adopted the novel decimal coding to construct an initial population, then used some improved differential evolution operators unlike the existing algorithm, and in mutation operation, we used an integer order criterion based on natural number coding method. We introduced a penalty technical to publish the infeasible solution. In addition, in the crossover operation, we designed a self-adapting crossover probability that varied with iteration. We did some numerical experiments, and the results showed that the proposed method is effective for solving VRP-SPDTW.     

嵌入式Linux中基于Qt／Embedded的键盘接口设计

采用S3C2440处理器和嵌入式Linux操作系统,选择目前比较常用的Qt／Embedded作为图形界面的开发语言,设计了嵌入式系统中的键盘接口。在介绍硬件平台的基础上,给出了嵌入式Linux下键盘设备驱动程序的工作过程及实现方法,简单介绍了Qt／Embedded的架构和字符输入策略,详细设计了Qt键盘驱动插件和应用程序。实验表明,键盘驱动采用Qt的插件系统,具有更好的独立性和移植性。     

Modeling group structures in pedestrian crowd simulation

Grouping is a common phenomenon in pedestrian crowds and plays important roles in affecting crowd behavior. Group modeling is still an open challenging problem and has not been incorporated by existing crowd simulation models. Motivated by the need of group modeling for crowd behavior simulation, this paper presents a unified and well-defined framework for modeling the structure aspect of different groups in pedestrian crowds. Both intra-group structure and inter-group relationships are considered and their effects on the crowd behavior are modeled. Based on this framework, an agent-based crowd simulation system is developed and crowd behavior simulations using two different group structures are presented. The simulation results show that the developed framework allows different group structures to be easily modeled. Besides, different group sizes, intra-group structures and inter-group relationships can have significant impacts on crowd behaviors.     

Fire detection model in Tibet based on grey-fuzzy neural network algorithm

The fire signals are much weaker in low oxygen concentration and low pressure environment such as Tibet. Fire detectors which were calibrated in correlating standard conditions cannot work well in such condition. This paper presents a synthesis method of GM(1, 1) grey prediction model and adaptive neuro-fuzzy inference system (ANFIS) in advance to detect fire and to make it work in the environment. The theoretical analysis of the algorithm and experimental evaluation in Tibet are presented. In this process, the grey GM(1, 1) predict model can anticipate the development of fire signals without any assumption, thus allowing earlier fire alarm than traditional fire detection equipments, meanwhile, ANFIS can make sure the data processing more accurate to avoid false alarms. This work will supply useful suggestions with the fire detectors design in low ambient pressure and low oxygen concentration such as Tibet, etc.     

普适计算环境下的虚拟机技术研究

普适计算环境中资源和服务利用率较低,传统应用程序在该环境下无法兼容。为此,提出一种适用于普适计算环境的虚拟机技术。使用设备请求代理屏蔽复杂的普适计算网络环境,对上层应用提供统一硬件平台,支持多个普适计算应用同时运行。实验结果表明,该虚拟化技术能兼容传统应用,提高普适计算资源和服务的利用率。