被动聚类中网关选择机制

从传感器节点的剩余能量、通信能量消耗和冲突解决方面研究了影响被动聚类中网关选择的因素,提出了一种新的网关选择机制EESGM。该机制能够在保证网络连通性和一定冗余性的情况下,产生数量更少、通信质量更高的网关。它不仅能够节省节点的能量消耗,而且使能量在节点间均衡消耗,延长了网络的生存周期。     

列车出入库自动识别系统设计

为了实现列车出入库信息的自动记录,设计了一套基于物联网技术的列车出入库自动识别系统,包括智能传感器节点、网关、服务器及客户端。智能传感器节点自带大容量电池,采用超声波传感器识别列车出入库,使用RFID技术获取列车信息,通过LoRa通信的方式将数据经LoRa网关发送到LoRa通信服务器,LoRa通信服务器再将数据转发至数据库服务器。智能传感器节点与LoRa网关之间采用LoRaWAN协议,LoRa网关与LoRa通信服务器之间采用MQTT协议,LoRa通信服务器与数据库服务器之间使用WebService方式传递消息。客户端通过B/S方式访问列车出入库的历史信息和实时信息。实际应用效果表明,系统具有功耗低、自动识别、运行稳定等特点。     

基于MC13213的无线多跳信报箱告知系统设计

为了实现对多层住宅信报箱报件到达的自动检测,提出了一种基于MC13213的无线多跳信报箱告知系统,并完成系统的软硬件设计。该系统的硬件部分主要包括报箱内的检测节点和用户住宅的用户节点,二者直接或以多跳方式通信。软件部分采用ColdWarrior进行编程,分别完成对报件到达检测并发送无线信号、接收报件到达数据或为上层楼层转发数据。设计实现了多层住宅信报箱报件到达检测与告知,避免了报件和信息延误。     

MANET中基于代理的Internet网关发现机制

针对大规模、高动态的移动Ad Hoc网络环境,提出一种基于代理的Internet网关发现机制（PGDIS）。PGDIS从移动节点中自动选举出代理网关,由Internet网关周期性地向代理网关发送网关公告消息。移动节点可以通过最近的代理网关建立通往Internet网关的路由。仿真结果表明,PGDIS在保持较高数据包投递率的前提下降低了传输延时。     

基于移动4G与ZigBee无线传感网的网关设计

针对移动通信系统和无线传感网络异构壁垒,提出了基于4G移动网络与ZigBee网关设计的技术思想,该技术是两种异构网络融合关键技术;网关硬件采用MCF52233为主控芯片,通过其一对串口分别实现连接4G芯片EM376。以及ZigBee芯片MC13213;软件是通过在主控芯片中植入两种异构网络融合的程序代码,从而实现网络数据帧的转换功能;经过应用测试,该网关平均时延7.36ms,丢包率为0.5‰,远低于CCSA规定标准。     

5G环境下微服务架构的自组网通信网关设计

针对当前自组网通信网络转发与协作能力差，导致网关内各个节点通信数据包分组投递状态不佳、端到端延时长的问题，在5G环境下设计了基于微服务架构的API网关协同接口，实现微服务的动态协同工作。构建5G网关切片生命周期管理模块，设计微服务架构后端松散耦合协作服务集群结构，获得每个组件松散耦合协作服务配置信息，实现网关配置化。计算5G环境下自组网通信范围，调整节点密度，通过自组织通信网关就近接入，计算动态网关在一定时隙内的预期效用，实现动态网关均衡博弈状态下的转发与协作。由测试结果可知，端到端时延最长仅为3 s,说明所设计的网关具备良好转发与协作能力。     

基于SI4463的信息采集系统设计

为满足无线信息采集系统远距离、低成本、部署灵活、维护方便等要求,设计和实现了一个远距离信息采集系统,具有无线传输和可靠的IAP(In-Application Programming)升级;在无线信号覆盖范围内,系统自动完成对目标节点的信号采集、IAP无线升级;介绍了节点的软硬件设计、IAP升级、冲突避免机制;经测试,无线传输速率200 bps的条件下有效通信半径为500米;无线数据包转发误码率为2/10000。     

基于GPRS的多功能无线网关设计

针对GPRS无线网关中采用透明数据传输方式存在通信费用高、实时性差等缺点,以流量计的远程维护系统为实际应用背景,设计了一个多功能的GPRS无线网关.介绍了网关的功能,增加了一种多功能模式,在该模式下,网关采用预先主动采集流量计信息,并对其进行分析、处理,主动上传报告流量计异常情况的方式来提高系统的性能;以GPRs模块MC55和ARM微处理器LPC2368为核心,完成了网关的硬件设计,并详细介绍了以uC/OS-Ⅱ实时操作系统为基础的网关功能的软件实现.在实验室环境下搭建维护系统平台,实验对比证明,多功能无线网关能降低基于GPRS的流量计远程维护系统的运行成本、提高响应速度及故障检测能力,效果明显.     

链路预测模型下的无人机网关选择算法

针对无人机自组网和地面控制站通信时网关节点持续时间短并由此带来的数据传输时延过大和成功率不高等问题,提出了一种基于无人机-地面控制站链路状态预测的网关选择算法.该算法通过建立基于无人机活动模型的预测和基于无人机运动趋势的预测,从而选择与地面控制站连接时间较长的节点作为网关候选节点.此外,通过使用函数计时机制选择网关选择参数最大的节点作为网关节点,有效避免分布式网关选择算法中随机延迟机制导致的不必要的网关切换.仿真结果表明,与现有的无人机分布式网关选择算法和移动自组网分簇算法相比,该算法有效延长了网关节点持续工作时间,并使无人机网络与地面控制站通信时的数据传输时延、数据传输成功率等性能得到提升.     

基于SNMP的无线传感网网关的研究

为了解决无线传感网与互联网异构通信以及实现无线节点的有效管理问题,考虑SNMP协议的简单、通用、安全等特性,设计一种基于SNMP的无线传感网网关。该网关实现无线传感网与互联网的数据通信,并基于SNMP协议实现对无线节点的管理。硬件部分,该网关以STM32F103VCT6为核心微处理器,使用SPI接口配合ENJ28C60以太网控制器实现以太网通信接口,使用USART串口配合无线传感芯片cc2530实现无线传感网通信接口;软件部分设计基于Lw IP协议栈的私有SNMP代理。测试结果表明,该网关运行稳定可靠,具有一定的实用价值。     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.