基于椭圆轮廓模型的重叠烟叶分级方法

烟叶是重要的经济作物,按国标等级实现准确的烟叶分级对提高成品烟质量有着非常重要意义。目前,人工分级仍然是主流技术,而基于机器视觉的智能烟叶分级被视为有较大的市场前景和经济效益。论文首先提出了一种联合利用纹理、颜色和形状特征提取,并使用集成学习分级的单片烟叶分级方法。进一步,针对重叠烟叶,提出了一种基于椭圆轮廓模型的烟叶分割算法,提升了重叠烟叶的分离准确性,并使用集成分级方法对分割后的单片烟叶逐片分级。多组真实烟叶数据集上的实验证明,论文提出方法在单片烟叶方法优于现有方法,能有效地对重叠烟叶实施分级。     

用电子鼻技术评价烟叶挥发性组分的研究

该文基于电子鼻检测技术和化学计量学方法,研究建立了烟叶挥发性组分的人工智能评价方法,并用于一系列国内主要烟叶原料的评价。结果表明,仅就烟叶挥发性组分而言,新方法可以用来区分同一等级不同产地烤烟型烟叶,可以为烟叶原料建立数据模型库,从而对原料进行质量控制。方法具有无需样品前处理、无污染、分析速度快等特点。     

OMRON位移检测传感器在烟片复烤机中的应用

介绍了OMRON位移检测传感器与PLC的控制相连接而组成的自动控制系统,它对烟片复烤机的运动部件重要部位进行连续检测,实现机械系统故障的报警和控制,完善烟片复烤机的自动控制功能,提前预测机械设备的状态,避免损失。     

烟叶复烤生产线排潮率的软测量工程实现研究

烟叶复烤生产线加热区的排潮率是反映烟叶中含水多少的关键参数之一,但难以直接在线测量。为此,本论文将软测量技术应用于烟叶的复烤过程,以实现排潮率的在线软测量。论文采用多冗线一降回归分析法,建立了排湖率的软测量模型并对拟合和预测结果进行了分析,农叫其软测量模型具有较好的预测效果。同时,将排潮率的软测量模型与力控6．0组态软件相结合,实现了烟叶复烤生产线干燥区的实时监控。     

MPC08SP运动控制卡在烟把智能定位系统中的应用

烟叶解把是烟叶复烤的重要环节,为克服工人摆把位置不精确,致使烟把切割位置不准的缺点,设计了烟把智能定位系统中的机械定位部分,采用机械手控制精度以及编码器分辨率作为设计指标,计算并确定机械定位系统的相关参数.利用MPC08SP四轴运动控制卡和伺服电机实现对烟把精确定位的控制要求,采用Visual C++ 6.0开发底层控制程序,建立一个较为通用的烟把运动控制系统.在玉溪烟厂的成功运行,表明本系统实现了烟叶解把时的准确切割,满足了该系统对准确性、稳定性和易操作性的要求.     

基于颜色特征的物料识别方法在烟包解包中的应用

烟包解包在香烟自动化生产中是一项关键的技术,它对解包的每个过程要求很高的精确度和实时性。论文采用固定的Basler摄像头获取烟包状态的原始图像,充分利用彩色图像的信息,提出了一种在不同的颜色空间中基于物料颜色特征的识别算法。该算法能针对烟包不同状态,通过对RGB三通道分析、滤波、边缘提取,能够识别出带有纸板的烟包与去除塑料薄膜烟包的两种状态;基于HSV模型,通过对物料不同状态的颜色矩分析,能够区分出带有塑料袋的两种不同状态,然后对这两种状态采用图像分块的理论,利用RGB的颜色特征,能够识别这两种不同的状态。该算法实现了对烟包四种状态的区分。     

烟叶原料智能仓储综合管理平台的构建

通过构建烟叶原料智能仓储综合管理平台,同时对平台的各个模块进行研究,形成包芯监控、垛内监控、仓间监控和预警等模块,实现烟叶原料智能仓储功能,提高烟叶仓储的精益管理水平,实现了烟叶养护过程数据由传统的手工记录转为系统自动采集,使片烟养护过程的数据具有信息化、可追溯化及可视化功能,实现了对垛内醇化片烟包芯温度进行全生命周期...     

新型双重控制算法在烟叶复烤过程的应用

针对烟叶复烤过程是一个多干扰、大滞后、不确定的大热容过程,采用传统PID闭环控制无法现达到理想的控制效果,现提出一种新型双重控制算法对烟叶复烤过程的出口水分过程进行控制。区别于主、副回路采用简单PI控制算法的传统双重控制算法,新型双重控制算法在主控制回路中采用预测PI控制算法,使其不仅具有传统双重控制算法的优点而且有效的避免了PI控制算法调节速度慢、波动大的缺点。实际应用证明采用新型双重控制算法可以降低烟叶复烤过程中出口水分的波动幅度,提高了烟叶的合格率和优质率。     

纹理去除的皮革图像颜色分类方法

针对皮革图像存在 天然纹理,凸凹结构纹理会使得扫描或摄影的皮革图像亮度变化明显,影响皮革图像颜色的准确分类,提出一种去除图像纹理的皮革图像颜色分类方法。首先利用相对总变差模型去除皮革图像纹理,获得只包含皮革图像颜色信息的图像;然后利用均匀彩色空间模型L*a*b*具有的较强的色差分辨能力,提取去除纹理后的皮革图像L*a*b*颜色分量的平均值作为皮革图像的整体的颜色特征;最后运用SVM支持向量机对皮革图像颜色特征进行分类。实验结果表明,该方法能够比较精确地区分皮革图像颜色,实现皮革图像的颜色分类,具有可行性 。     

烟叶复烤区温度与排潮率的解耦控制仿真研究

烟叶复烤是香烟生产中的一个重要的环节,复烤过程中温度、水分直接影响了复烤后的烟叶指标和后续烟叶的制丝、打包等工序,复烤干燥区是一个复杂多变量强耦合系统。为了获得较好的控制效果,针对云南某复烤厂仅控制温度而未考虑与湿度的耦合性,并且其控制效果不佳的问题,通过采集大量现场数据,在获得干燥区排潮率软测量模型和温湿度动态模型的基础上,采用前馈解耦控制方法进行了干燥区温度与排潮率的控制仿真研究。仿真研究结果表明,干燥区温度与排潮率的前馈解耦控制与未解耦PID控制相比,具有较好的控制效果。     

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。     

基于QTE的蒙古文显示机制研究与实现

蒙古语言是中国蒙古族使用的通用语言,由于蒙古文区别于其他文字的书写方式和其自身变形机制等特点,在很多通用的文字处理引擎中都不被支持。在嵌入式产品开发与应用领域中Linux加QTE已经成为流行方式。该文给出了一种在QTE环境上实现基于标准Unicode的蒙古文点阵显示和变形算法, 并自定义了支持蒙古文的QTE组件,扩展了QTE功能,为在Linux加QTE方式的嵌入式体系结构中处理蒙古文提供了一种解决方法。