基于Arduino的纸币整理分类控制系统设计

设计了一种基于Arduino开发板的纸币整理、分类控制系统。该系统采用Arduino Mega2560单片机作为控制核心,结合步进电机驱动板、颜色传感器、显示屏、语音播放模块等组成整套系统,实现了纸币整理、分类、显示、语音播报等功能。该系统利用Arduino IDE开发环境编写控制程序,通过模拟人工整理纸币过程实现纸币整理,通过颜色传感器采集数据以及算法控制,实现纸币分类,并通过实验证明了设计的可靠性、稳定性。     

基于9DOF IMU的AUV惯性导航技术研究

水下机器人(underwater vehicle)惯性导航技术是目前机器人控制技术的难点,通过加装不同类型的IMU组件,可以实现水下机器人姿态、方位等参数的测量,并将这些参数作为反馈输入来实现水下机器人的精确控制;针对低成本微惯性传感器的应用特性,采用Sparkfun、Arduino Mega和Raspberry Pi,设计了基于Raspberry Pi集中处理、Arduino控制板分布式控制的微小型捷联惯导系统,实现了水下机器人惯性导航系统的全部导航和制导参数读取,包含位置坐标、线速度、角速度、姿态角、方位角等信息,通过水池试验表明应用表明本系统满足Eco-dolphin的水下定航控制要求。     

一种基于Arduino的CAN总线设计方法

文中提出了一种基于Arduino的CAN总线实验平台设计。该平台能够通过Arduino系统对CAN总线进行数据通讯。由于Arduino系统通过封装底层硬件控制命令来提供友好的控制接口,所以这一平台可以更有效地进行CAN总线通讯实验。     

用Android控制Arduino小车

用Arduino做一辆小车,原本是一个入门的项目,很多人都做过。但是,这辆小车如果能用Android手机或者平板电脑来控制,无疑就有趣多了。在MIT的App Inventor帮助下,编写Android系统上的App程序,也能够以搭积木的形式完成。同样,Arduino方面的代码,也能够采用一款图形化的编程插件--ArduBlock来编写。用Android控制Arduino小车,就成为一个技术门槛很低,却非常具有挑战性的综合性任务了。     

基于Arduino的虚拟现实交互系统实验案例设计

综合运用嵌入式、三维建模、虚拟现实等技术,提出一个软硬件结合的虚拟现实交互系统典型案例,实现虚拟场景与现实环境的实时交互控制。通过3DMAX和Unity3D软件设计虚拟现实交互场景,采用Arduino核心板搭建场景的控制模块,运用光敏电阻和湿度传感器实时获取环境信息并注入虚拟场景中,实现虚拟现实交互系统。     

基于APP远程控制的智能家居设计

如今的智能家居在应用与普及方面还有所缺陷,设计出稳定安全、可靠实用、低成本低功耗的智能家居控制系统,让更多的普通家庭也能享受到科技进步带来的福利成为目前需要迫切解决的问题。因此,文中设计一种基于APP远程控制的智能家居系统。该设计主要以Arduino2560单片机为控制核心,Arduino Wemos mini为控制分支,控制步进电机和舵机来执行其他机械部分,利用单片机和APP将自动控制和手动控制等控制方式结合起来,方便人们更加便利地使用智能家居。所提设计穿插使用了云端的aREST框架和爬虫技术,实现了智能家居的基本控制。     

基于触摸屏的滑轨往复式拍打器控制

给出一种直线式滑轨往复式拍打器控制设计,该系统由Arduino控制器、电机、电机驱动模块、滑轨和红外探测模块组成。Arduino控制器负责接收来自触摸屏界面的指令,通过控制电机驱动模块L298N控制电机转动,执行拍打器的拍打功能。通过控制TB6600模块控制42步进电机带动滑轨传动平台,实现传动平台上拍打器的往复移动。用户可以通过触摸屏界面自定义按摩的功能,如位置、时长等,整个系统使用两个12 V可充电电池供电,使其成为一个移动式拍打器。     

多控制方式的教学用机器人研究

为便于工业机器人等相关专业的学生深刻理解工业机器人的运动原理和控制方式,基于Arduino设计了多控制方式的教学用机器人。该机器人采用Arduino UNO开发板,结合LD3320语音识别芯片、Arduino的摇杆扩展板、红外接收模组及遥控器等硬件,实现了语音、摇杆以及红外远程等多种控制方式。多控制方式的教学用机器人具有成本低、控制方式多样以及扩展性强等优点,有助于提高学生动手能力、电路设计能力和编程能力。     

基于Arduino的电子产品设计

Arduino具有使用简单、功能多样等优点,目前已广泛地应用在电子产品设计中.详细地介绍了Arduino程序的基本结构,并通过使用Arduino UNO电子产品开发设计硬件控制多个LED循环闪烁的实例,介绍Arduino开发板的使用方法.     

基于Arduino的语音识别与控制系统实现

通过对Arduino开发板的研究,将声控技术引入到智能系统的设计当中,实现了一套基于Arduino的语音控制系统。本文首先确定了各硬件模块的选型,并在拟定了各模块之间的通信接口后对Arduino引脚资源进行整合、分配,搭建了系统的硬件平台。在软件设计部分,编写了监控程序、功能实现程序、中断服务程序,最终实现了对机械手的语音控制以及语音播报的功能。此外,系统还增设了登录口令验证和错误识别吸收功能,从安全、效率两个方面改进系统的性能。实际应用测试表明,在低噪或无噪条件下,该系统识别精度高,稳定性好,达到了预期要求。     

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.