基于物联网的农业温室大棚多参数监控平台设计

基于我国农业设施的智能化水平、信息化水平不高的背景,设计、开发了基于物联网技术的农业温室大棚多参数监控平台。依据物联网的感知层、传输层、应用层的层次结构,设计平台的总体构架;实现了基于MongoDB的温室监控与智能管理系统的数据库的设计,支持远程监控与智能化应用功能;通过B/S架构平台的温室智能管理与操作界面,实现了数据的远程查询下载、多个环境参数的阈值设置及不同机构的远程控制。经由农业温室大棚实际项目应用测试,该系统可有效采集作物生长的6大环境要素,对环境因子进行调控;数据传输稳定性高、人机操作界面友好易用。该研究有利于提高温室大棚的工作效率,对推进农业生产的自动化、信息化和智能化建设具有重要意义。     

大型病患智能远程电子监控系统的设计与实现

现在医疗事业当中,远程医疗作为先进科学技术应用;病患科学治疗监控理念;快速信息化时代体现,正在成为医疗事业当中热门的研究方向。其依靠计算机技术、通讯技术以及信息处理技术为基础,同医疗活动相结合,在当今的医疗事业当中有着广阔的发展前景。本文设计出用于大型病患的智能远程监控系统,系统从生理数据采集、智能终端、IOCP网络通讯器以及数据库和监控软件为设计出发点,利用无线通信网络实现医生或是家属通过监控软件对病患进行实时远程监控和监护。提出系统的设计需求和设计结构,并通过实际检测观察此系统在实际应用中的可靠性以及对各项需求的完成度。结果显示,此系统可以很高程度的完成对与大型病患的远程实时监控和智能化需区。     

智能选矿厂架构设计

根据选矿厂的工业特点和选矿工艺、装备及控制技术的现状,设计了装备智能化、业务智能化、知识自动化三个层次的智能选矿厂模型。结合各个层次的技术现状和作用,阐述了设备自动化、设备虚拟智能化、动力设备智能化和过程仪表智能化的设计方式;探讨了智能检测、智能监控、智能控制、智能运维、智能管理等生产业务智能化的必要性和可行性;阐述了"互联网+"时代的选矿厂生存发展模式和选矿厂数据资源化、知识自动化的必要性和迫切性。最后指出:建设实施智能选矿厂需要结合不同企业的实际装备、生产工艺、人员素质情况和企业的发展规划,循序渐进。     

基于物联网技术的智能路灯监控系统的研究

传统设计的城市路灯监控系统普遍存在施工结构复杂、铺设成本过高以及智能化水平低等问题,随着无线网络和通信技术的不断发展,可以将物联网技术引入城市路灯监控系统的设计,使其更加智能化、自动化。本文借助ZigBee网络技术及GPRS技术,设计智能路灯监控系统,实现路灯远程监控,降低系统铺设成本,提升路灯监控系统的经济性和可靠性,以及该系统的智能化水平,从而提升社会经济效益。     

电子工程中网络自动化智能技术的应用

随着经济社会的不断进步和电子科学信息技术的不断发展,电子信息工程已经被世界证明成为是一种完全自动化、智能化的管理网络,并在很多工业领域已经得到了广泛应用,从而有效促进了各个领域企业工作效率。智能监控技术在我国电子行业工程管理中的广泛应用极大促进了电子行业的管理水平,提高了我国电子工程师的自动化管理水平,提升了电子行业的质量运行管理效果。本文通过分析智能电子网络工程自动化管理技术在我国电子信息工程行业中的广泛应用,探讨和深入分析了该应用技术的主要发展战略优势和应用途径。     

智能视频分析技术在综合安防系统中的应用

为了满足不断提升的地铁综合安防系统的运营管理要求,结合了某市大型地铁项目,对目前数字视频监控系统中采用的视频分析技术进行了分析,指出了这种技术在当前应用中的不足,提出了改进策略,通过把相关设备深度集成到监控系统中来,使视频分析系统更加智能化的同时提高了监控系统的精确度和整体可控度.详细介绍了智能视频分析系统的设计思想和...     

广播电视无线发射台站智能监控系统设计与分布式技术运用

网络信息与智能技术的快速发展使得无线发射台站实现智能化、自动化监控模式成为可能,是未来广播电视行业技术创新的重要方向。本文基于智能监控系统建设的必要性分析,详细论证了系统设计与功能实现的可行性,并深入研究了智能监控系统设计的具体思路和分布式技术应用的主要策略,具有较强的借鉴意义。     

基于嵌入式技术的粮库智能管理终端设计

针对粮食仓储技术落后的情况,为粮库设计了一套智能化、多功能的便携式管理终端;该终端将RFID技术、GPRS无线通信技术、单片机技术和基于ARM处理器的嵌入式系统技术综合在一起,实现了粮食产品的出入库记录、图像监控、温度检测和相关信息的无线通信;论述了系统各部分的设计并介绍了系统各部分之间通信协议的实现;通过实际应用,该系统运行稳定可靠,有效实现了对仓储现场管理和监控的自动化、智能化.     

智能技术在电子信息工程自动化设计中的运用

智能技术已广泛应用在很多领域,为电子信息工程自动化提供了更多的可能性,降低了自动化设计的复杂度,提高了设计人员的工作效率,为智能化系统的开发和推广奠定了基础。基于此,笔者简要介绍了智能技术的类型和应用优势,进而分析了智能技术在电子信息工程自动化设计中的具体应用,能够更好地促进电子信息工程技术的发展和应用。     

基于示功图大数据的立式抽油机故障分析

有杆抽油系统是目前原油开采的主要方式.抽油机的数字化控制、自动化管理、智能化运行是智能油田的主要目标之一.物联网及深度学习技术的发展为实现抽油机的智能化提供了技术支撑.软件子系统已经成为新一代智能立式抽油机系统的重要组成部分,目的是利用采集的大数据进行智能监控和生产分析决策.基于获得的示功图工况大数据,利用深度学习技术,建立新一代立式智能抽油机的故障分析模型,在保证识别准确率高的同时有效降低训练时间,很好地达到实际应用要求.     

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.