Electrosprayed porous Fe3O4/carbon microspheres as anode materials for high-performance lithium-ion batteries

Nano Research - Porous Fe3O4/carbon microspheres (PFCMs) were successfully fabricated via a facile electrospray method and subsequent heat treatment, using ferrous acetylacetonate, carbon nanotubes...     

Visible light-driven superoxide generation by conjugated polymers for organic synthesis

Nano Research - Benefiting from their unique delocalized electronic structure, conjugated polymer-based semiconductors are widely applied in the fields of organic electronics, sensors, and...     

基于声比拟的压力管路阀门内漏噪声数值预报研究

阀门内漏对压力管路系统安全运行具有很大危害。基于声比拟理论,使用Fluent软件分别进行稳态及非稳态计算,获得阀门内漏的流场和声场特性。研究了管内介质、工作压力、横向距离以及阀门泄漏度对阀门内漏噪声的影响。通过实验对数值模拟方法的正确性进行了验证。研究表明,阀门内漏流场旋涡与噪声直接相关。阀门内漏的声场信号为宽频随机信号,气阀内漏声场强度大于水阀,声压级随工作压力的增大而增大,并且随阀门泄漏度和阀后横向距离先增后减。研究结果可为阀门内漏的噪声预报以及阀门内漏检测提供借鉴。     

MDF水泥的碳纤维增强研究

研究了碳纤维作为MDF水泥增强材料的可行性以及它的增强效果．探讨了各种因素对MDF水泥性能的影响,分析了碳纤维增强MDF材料的结构特征．研究结果表明,碳纤维作为MDF水泥的增强材料能够显著提高MDF水泥的抗弯强度、断裂韧性和耐水性能。碳纤维在复合材料中呈三维均匀分布．形成空间网络结构,这是碳纤维增强MDF水泥的主要原因。     

PAC Learning of One-Dimensional Patterns

Developing the ability to recognize a landmark from a visual image of a robot's current location is a fundamental problem in robotics. We consider the problem of PAC-learning the concept class of geometric patterns where the target geometric pattern is a configuration ofk points on the real line. Each instance is a configuration ofn points on the real line, where it is labeled according to whether or not it visually resembles the target pattern. To capture the notion of visual resemblance we use the Hausdorff metric. Informally, two geometric patternsP andQ resemble each other under the Hausdorff metric if every point on one pattern is close to some point on the other pattern. We relate the concept class of geometric patterns to the landmark matching problem and then present a polynomial-time algorithm that PAC-learns the class of one-dimensional geometric patterns. We also present some experimental results on how our algorithm performs.     

Modeling and Neuro-Fuzzy adaptive attitude control for Eight-Rotor MAV

This paper focuses on modeling and intelligent control of the new Eight-Rotor MAV which is used to solve the problem of low coefficient proportion between lift and gravity for Quadrotor MAV. The dynamical and kinematical modeling for the Eight-Rotor MAV was developed which has never been proposed before. Based on the achieved dynamic modeling, two types of controller were presented. One type, a PID controller is derived in a conventional way with simplified dynamics and turns out to be quite sensitive to sensor noise as well as external perturbation. The second type controller is the Neuro-Fuzzy adaptive controller which is composed of two type-II fuzzy neural networks (TIIFNNs) and one PD controller: The PD controller is adopted to control the attitude, one of the TIIFNNs is designed to learn the inverse model of Eight-Rotor MAV on-line, the other one is the copy of the former one to compensate for model errors and external disturbances, both structure and parameters of T-IIFNNs are tuned on-line at the same time, and then the stability of the Eight-Rotor MAV closed-loop control system is proved using Lyapunov stability theory. Finally, the validity of the proposed control method has been verified through real-time experiments. The experimental results show that the performance of Neuro-Fuzzy adaptive controller performs very well under sensor noise and external disturbances, and has more superiority than traditional PID controller.     

Non-functional properties in the model-driven development of service-oriented systems

Systems based on the service-oriented architecture (SOA) principles have become an important cornerstone of the development of enterprise-scale software applications. They are characterized by separating functions into distinct software units, called services, which can be published, requested and dynamically combined in the production of business applications. Service-oriented systems (SOSs) promise high flexibility, improved maintainability, and simple re-use of functionality. Achieving these properties requires an understanding not only of the individual artifacts of the system but also their integration. In this context, non-functional aspects play an important role and should be analyzed and modeled as early as possible in the development cycle. In this paper, we discuss modeling of non-functional aspects of service-oriented systems, and the use of these models for analysis and deployment. Our contribution in this paper is threefold. First, we show how services and service compositions may be modeled in UML by using a profile for SOA (UML4SOA) and how non-functional properties of service-oriented systems can be represented using the non-functional extension of UML4SOA (UML4SOA-NFP) and the MARTE profile. This enables modeling of performance, security and reliable messaging. Second, we discuss formal analysis of models which respect this design, in particular we consider performance estimates and reliability analysis using the stochastically timed process algebra PEPA as the underlying analytical engine. Last but not least, our models are the source for the application of deployment mechanisms which comprise model-to-model and model-to-text transformations implemented in the framework VIATRA. All techniques presented in this work are illustrated by a running example from an eUniversity case study.     

Capturing the response of players to a location-based game

Location-based games offer opportunities for us to learn more about people’s interactions and feelings towards the environment they are in as well as to understand more about the mental models and locations associated with known environments, e.g. a university campus with its associations of learning. In our study, we wanted to manipulate the activities in a game to take advantage of certain locations in the hope of producing certain emotional reactions. However, it is not enough to simply produce these reactions; one must also have a way of capturing any emotions produced whether these are the ones expected or not. The objective of this paper, therefore, was to trial a new methodology for location-based games that aims at capturing the players’ emotional reactions to the activities in a game whilst in certain locations. In order to test the methodology, we designed a location-based game that can be played on any Bluetooth-enabled mobile phone that has an accelerometer. The game has been designed to interweave with a persons’ normal activity. As a result, there is little distinction between gaming time and non-gaming time.     

最优算法组合在目标检测图像信号处理中的应用

针对网域内简单背景下目标感知识别处理速度慢、准确率低的问题,提出了基于最优算法组合的目标检测方法;该方法将多种图像处理方法融入目标识别算法中,在采用不同算法对采集到的图像进行预处理、分割和特征提取效果比较的基础上,确定出最优算法组合并设计实验验证其可靠性和鲁棒性;试验结果表明该方法能够快速有效的判别行人目标,识别率达到96.67%,解决了网域内目标检测问题;与其他单一算法相比具有处理速度更快、判别更加有效,实时性高等特点,明显优于一般算法。