消防机器人底盘热防护多通道温度采集系统设计与试验

针对消防机器人底盘工作环境不低于300℃的要求,以及对底盘型腔进行多点测温的需求,开发了基于Labview的消防机器人底盘热防护8通道温度采集软硬件系统。实现了基于串口Modbus RTU协议的温度数据采集与传输,系统具有用户注册、串口配置、温度曲线实时显示、超温声光报警、数据显示与保存、历史数据回放、数据表显示与小波降噪等功能。通过该系统对底盘型腔进行了4种工况的热防护温度检测试验,验证了系统的可靠性。此外,针对温度曲线中出现的噪声干扰,引入了小波分析,采用Labview与Matlab混合编程方法,通过小波阈值滤波算法对采集到的数据进行了降噪处理,并与各通道温度原始数据进行了对比,达到了较好的滤波效果。该系统可视化效果好,数据采集实时且准确,对工业现场多点温度的实时检测具有借鉴意义。     

MultiCS: Circuit switched NoC with multiple sub-networks and sub-channels

We propose a multi-channel and multi-network circuit switched NoC (MultiCS) with a probe searching setup method to explore different channel partitioning and configuration policies. Our design has a variable number of channels which can be configured either as sub-channels (spatial division multiplexing channels) or sub-networks. Packets can be delivered on an established connection with one or multiple channels. An adaptive channel allocation scheme, which determines a connection width according to the dynamic use of channels, can greatly reduce the delay, compared to a deterministic allocation scheme. However, the latter can offer exact connection width as requested. The benefits and burden of using different number of channels and configurations are studied by analysis and experiments. Our experimental results show that sub-network configurations are superior to sub-channel configurations in delay and throughput, when working at the highest clock frequency of each configuration. Under reasonable channel partitioning, sub-networks with narrow channels can generally achieve higher throughput than the network using single wide channels.     

On-demand broadcast for multiple-item requests in a multiple-channel environment

On-demand broadcast is an effective approach to disseminating data in mobile computing environments. Substantial efforts have been devoted to improving the scheduling efficiency of on-demand broadcast. Previous studies focused mainly on the case of scheduling single-item requests in single-channel environments. However, requesting multiple dependent data items is common in many advanced applications such as electronic stock trading and traffic information enquiry services. In addition, multi-channel architectures are widely deployed in data broadcast systems. In this work, we investigate the issues arising in scheduling multi-item requests in multi-channel on-demand broadcast environments. Two problems, namely, the request starvation problem and the bandwidth utilization problem are identified in existing algorithms. To tackle the observed problems, an innovative algorithm is proposed. Results from our simulation study demonstrate the superiority of the proposed algorithm.     

Requirements engineering for multi-channel services: the SEB method and its application to a multi-channel bank

The widespread usage of technology for service provision to customers has created a new and challenging environment for the design of interactive systems, with the emergence of technology enabled multi-channel services. Requirements engineers involved in the design of such service systems must actively work together with interaction designers and service managers to better integrate customer service experience and technology components, requiring unifying methods and tools within the emerging field of service science management and engineering. This paper proposes the service experience blueprint (SEB), a multidisciplinary method for the design of technology enabled multi-channel service systems and illustrates its application in two examples of redesign of banking services that involved an extensive study with more than 4,000 bank customers. The SEB method is based on concepts and tools from RE and interaction design, such as goal-oriented analysis and conceptual modeling, but also uses methods developed in the service and marketing fields, such as service blueprinting. SEB brings marketing research methods to the requirements process, as they can provide a useful contribution for the elicitation of customer experience requirements in service environments. By bringing together goal-oriented modeling and use case modeling from requirements engineering, with service blueprinting from service design, the SEB method contributes to creating a shared understanding and a unifying language to better support the design of new technology enabled multi-channel service systems, where technology and service issues are deeply intertwined.     

On the feasibility of IEEE 802.11 multi-channel multi-hop mesh networks

Several scientific works have considered the possibility to build Wireless Mesh Networks (WMN) using multi-channel IEEE 802.11 architectures. At the basis of these works is the notion of “non-overlapping” channels, i.e. with a frequency separation equal or greater than 25 MHz. It is now a common assumption that multiple independent transmissions over these channels can coexist without mutual interference even in physical proximity. In this work we demonstrate that this assumption does not hold in general. Through an extensive set of experiments we illustrate the presence of cross-channel interference between “non-overlapping” channels at relay nodes due to the “near-far” effect. We analyze in what manner the MAC layer reacts to such an interference and how this problem extends to higher layers, with detrimental effects on the global throughput. The central problem is that cross-channel interference is not handled adequately by the MAC layer, and in some cases single-channel multi-hop settings perform better than multi-channel. Our results highlight a serious mismatch between some routing and channel assignment schemes proposed recently by the research community, assuming full separation between non-overlapping channels, and what is achievable in practice. More generally, as the presence of cross-channel interference can not be neglected at relay nodes, our findings point to a fundamental problem in building Multi-channel Multi-hop WMN based on IEEE 802.11b/g technology.     

Histopathological image classification through discriminative feature learning and mutual information-based multi-channel joint sparse representation

Histopathological image classification is a very challenging task because of the biological heterogeneities and rich geometrical structures. In this paper, we propose a novel histopathological image classification framework, which includes the discriminative feature learning and the mutual information-based multi-channel joint sparse representation. We first propose a stack-based discriminative prediction sparse decomposition (SDPSD) model by incorporating the class labels information to predict deep discriminant features automatically. Subsequently, a mutual information-based multi-channel joint sparse model (MIMCJSM) is presented to jointly encode the common component and particular components of the discriminative features. Especially, the main advantage of the MIMCJSM is the construction of a joint dictionary using a mutual information criterion, which contains a common sub-dictionary and three particular sub-dictionaries. Based on the joint dictionary, the MIMCJSM captures the relationship of multi-channel features, which can improve discriminative ability of joint sparse representation coefficients. Finally, the joint sparse representation coefficients of different levels can be aggregated using the spatial pyramid matching (SPM) model, and the linear support vector machine (SVM) is used as the classifier. Experimental results on ADL and BreaKHis datasets demonstrate that our proposed framework consistently performs better than popular existing classification frameworks. Additionally, it can show promising strong-robustness performance for histopathological image classification.     

Receding Horizon Estimation for Linear Discrete-time Systems with Multi-channel Observation Delays

This paper investigates the receding horizon state estimation for the linear discrete-time system with multi-channel observation delays. The receding horizon estimation is designed by the reorganized observation technique and the linear unbiased estimation method. The estimation gains are developed by solving a set of Riccati equations, and a stability result about the state estimation is shown. Finally, an example is given to illustrate the efficiency of the receding horizon state estimation.      

一种多通道频率测量卡的设计与实现

基于频率测量方法与ARM Cortex-M3单片机定时器外设的特点,设计并实现了一种基于该单片机的频率测量卡。该测量卡利用单片机丰富的定时器资源,通过配置定时器的不同工作模式,实现了测量脉冲信号的频率、周期、脉宽及计数等功能。测量卡具有结构简单、易于实现、成本低、通道多、测量精度高和测量范围宽等优点。试验测试证明该测量卡能够满足工业现场测量频率信号的应用。     

基于SOA的一体化缴费管理平台的研究与实现

基于现有缴费管理平台对业务拓展和多渠道接入等方面的需求,在一体化缴费管理平台的架构设计引入面向服务架构思想。采用基于SOA的分层架构设计思路实现电力缴费业务平台的开发、运行、集成和管理,有着显著的优势,目前也得到广泛的应用。本文分析了SOA技术在一体化缴费管理平台的应用,从而使其更好的服务于业务管理,适应更高层次的需求与发展。     

基于FPGA的固态硬盘控制器的研究与设计

随着Flash存储芯片性价比越来越高,基于Flash存储芯片的固态硬盘已成为手持电子终端设备中的主流存储设备,并已开始大举进入笔记本计算机等领域.固态硬盘控制器是固态硬盘的核心部件,固态硬盘控制器性能的好坏直接决定固态硬盘的好坏,由于FPGA具备可编程、设计灵活性、设计周期短、可在线升级等优点,本文研究基于FPGA的16通道、双核固态硬盘控制器.