RFID及条形码技术在工业炸药中的应用

本文针对工业炸药在全生命周期内(包括生产、存储、运输、销售过程)存在难以实时获取数据、难以监控动态流程的问题,采用无线射频RFID及条形码技术实现对工业炸药的信息采集,并基于采集的信息对工业炸药进行识踪智能管控,构建工业炸药实时监控系统。     

无线镀膜玻璃色差数据实时监测系统的设计

针对玻璃生产线布线困难、电磁干扰强、数据处理效率低的状况,设计了无线镀膜玻璃色差数据实时监测系统;介绍了无线射频收发芯片nRF2401AG的原理及特点,采用了无线通信技术和数据库技术,阐述了将Visual C++6.0作为开发平台,镀膜玻璃色差数据无线收发、实时监测、实时存储、动态显示等实现过程;经实际验证:该系统无线通信稳定可靠、数据处理效率高;满足了工程实际应用需求,具有很好的实用性和推广价值。     

面向PCB装配过程跟踪的RFID中间件

针对PCB装配生产跟踪不实时、产品追溯效率低的问题,引入无线射频识别（RFID）技术标识物料和产品,提出基于RFID的PCB生产跟踪。研究RFID中间件技术,结合PCB装配的特点确定中间件的功能模块及各模块间交互的信息,设计各模块的处理流程。实验结果表明,该RFID中间件提高了数据采集能力,为PCB生产过程跟踪奠定了基础。     

易损/危险品物流监测智能微系统

一种基于数据采集、射频识别的信息采集系统,可以采集存储物流过程中超过阈值的振动、湿度以及温度,并记录对应的时间,然后通过无线通信向外发送记录的数据。本系统由三部分组成,包括基于加速度传感器、温/湿度传感器的数据采集模块、基于RFID的无线通信模块及报警模块。本系统不仅可为易损邮寄物品保驾护航,还可对流通中的危险品状态进行实时监测,能应用于多种恶劣环境,实时将报警消息发送至运输人员手中,及时发现问题,提高运输效率,有效地降低运输货品的破损率和危险品的事故率。     

汽车油耗实时监控系统的关键技术

汽车油料监控系统可方便地对汽车油料使用过程进行实时监控。该系统从设计上可分为油量数据采集器、无线射频抄表器和PC机软件三个部分。结合了数据采集、数据存储、无线射频抄表三个关键技术,实现了实时记录汽车油耗,通过无线射频方式抄表并上传至PC机,由配套业务管理软件分析数据并进行绩效管理。     

基于ZigBee技术的冷藏车监测系统设计与实现

为保证冷藏车在运输过程中,能够实时了解车内果蔬农产品的新鲜程度,为消费者提供更加新鲜的产品,本着提高效率和尽量节省成本的出发点,提出了基于无线ZigBee技术,对冷藏车辆内的温度和门开关状态实时监控的设计方案,包括软硬件的设计与实现.     

群养母猪饮水行为监测无线传感器网络节点设计

针对群养母猪个体饮水行为监测,研发了一种主要由STM32微控制器、CC1101无线射频模块和RFID读写器模块组成的无线传感器网络节点。采用RFID技术实现对饮水母猪个体的识别,利用流量计实时记录母猪饮水量。通过无线射频模块组成星型网络并简化时间同步问题,将采集的母猪个体信息发送至远程监控中心,实现母猪个体饮水行为的自动化监测。实验结果表明:节点对饮水母猪个体识别正确率达到100%,能够准确、实时地记录其饮水量。     

基于无线传输的变压器铁心接地监测系统的设计

在电力变压器运行过程中,为了预防因铁心多点接地导致接地电流超标而造成的铁心过热和烧毁故障,设计了一种基于无线数据传输技术的变压器铁心接地电流在线监测系统;该系统能够实现对变压器铁心接地电流的实时或定时监测和历史数据的存储,能够在检测到接地线电流超过国家标准后发出报警信号,同时根据电流的大小实现限流电阻的自动投切,最终将接地电流限制在规程要求的范围之内;应用nRF905无线射频收发芯片设计了无线通讯模块,实现了下位机与上位机的无线数据传输。     

一种基于EFM32LGF330F256的无线LoRa仪表设计方案

本方案介绍一种基于无线LoRa技术的低成本、低功耗的无线仪表实现方案。该方案设计充分利用硬件设计资源,实现了压力、温度的高精度采集及无线传输,可广泛应用在生产过程中各种液体和气体的介质压力、温度测量。在液晶屏上进行实时显示的同时,该方案将测量值通过LoRa技术上传至网关,从而实现对系统的远程实时监测。     

基于超高频射频技术的井下物资运输管理系统

针对成庄矿轨道机车运输系统因缺乏有效的监控手段而导致的机车运输效率低、货物流向不明的问题,指出了设计井下物资运输管理系统的必要性;分析了有源射频识别技术及高频无源射频识别技术的优缺点,提出了一种基于超高频射频技术的井下物资运输管理系统。该系统由无源抗金属射频标签、超高频固定式射频读写器、手持式射频读写器和物资运输管理软件组成,可实现对井下机车及运输物资的识别定位及远程监测功能。实际应用表明,该系统有效提高了矿井辅助运输系统的工作效率。     

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。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

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.     

Editorial: Special issue on recent advances in hybrid control theory and applications

正The demands of a rapidly advancing technology for faster and more accurate controllers have always had a strong influence on the progress of automatic control theory.In recent years control problems have been arising with increasing frequency in widely different areas,which cannot be addressed using conventional control techniques.The principal reason for this is the fact that a highly competitive economy is forcing systems to operate in regimes where     

Information for Authors

正Aim The Journals of Zhejiang University-SCIENCE(A/B/C)areedited by the international board of distinguished Chinese andforeign scientists,and are aimed to present the latest devel-opments and achievements in scientific research in China andoverseas to the world’s scientific circles,especially to stimulateand promote academic exchange between Chinese and for-eign scientists everywhere.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.