基于ARM和WinCE系统的圆图无纸记录仪的设计

为更加直观地监测轮胎橡胶硫化等生产过程中的工艺参数,弥补现有圆图无纸记录仪的功能缺陷,设计了一款基于嵌入式微处理器S3C2440A和WinCE 6.0系统的圆图无纸记录仪.该记录仪可根据现场要求改变模拟量和开关量输入输出,最多能够同时检测32通道模拟量输入,通道间采用PHOTOMOS隔离;同时配有CF卡、USB2.0,RS-232,RS-485和以太网等多种接口和触摸屏.该记录仪可通过各种总线形式与上位机(PC)联网,实现数据的实时监控和报警等功能.     

A computational model of print-quality perception

A system has been developed that can simulate human print quality assessments for simple prints. It consists of an image analysis system and a neural network trained in differentiating between different quality prints. Humans were used to assess the print quality of a series of images of different tones, produced by a variety of printing processes. An image analysis system was employed to collect and pre-process raw image data from the prints. A neural network employing supervised learning was then used to produce computer models of the assessments. The image analysis system and neural network models were subsequently employed to predict the observer assessments for a further set of prints that had not undergone the supervised learning procedure. In the prediction trial, the system correctly classified 23 out of 24 prints.     

Predicting weather events using fuzzy rule based system

Discovering and understanding the dynamic phenomena of weather to accurately predict different weather events has been an integral component of scientific investigations worldwide. The weather data, being inherently fuzzy in nature, requires highly complex processing based on human observations, satellite photography, or radar followed by computer simulations. This is further combined with an understanding of the principles of global and local weather dynamics. This paper attempts to solve weather event prediction for Lahore by implementing a fuzzy rule based system. The difficult problem of weather event prediction has been dealt in this paper through two separate experimental settings. In the first experimental setting a smaller dataset consisting of 365 instances with 4 inputs and 8 weather events has been used to develop a fuzzy inference system. In the second experimental setting the developed fuzzy system has been enhanced for a larger dataset consisting of over 2500 data points, having 17 inputs, and 10 weather events. For the later experiments the results of the fuzzy system have been compared with two other models i.e., decision tree (DT) based model and partial least square based regression (PLSR) model. It has been observed in the present study that the performance of the fuzzy system is sensitive to bootstrapping sampling technique that has been used for generating training and test samples for developing the fuzzy, DT and PLSR models. Further the models under consideration have been less sensitive to principal component analysis based dimensionality reduction method.     

接口时序一致性连续定量监测技术研究

为了解决电气系统接口时序一致性的长期连续定量监测问题,设计了一种基于对比测试的时序一致性监测系统。该系统通过建立时序参数的描述模型将时序约束统一为约束矢量并通过图形化界面输入,约束矢量包含时序参数的测点及约束条件。将理想时序周期内同一事件下各信号的逻辑值编为事件码并按事件先后顺序排列,以事件码序列为码型触发的模式序列,基于设计的DEW-BM算法捕获与模式序列匹配的目标数据序列并计算其中各时序参数的测量值,通过验证测量值是否满足约束不等式给出接口时序一致性的监测结果(Pass/Fail)。测试结果表明,监测系统能够正确捕获目标信号,时序一致性分析结果与理论期望结果一致,监测系统具有一定的正确性和通用性。     

基于．NET的浸润剂生产管理系统的设计与实现

浸润剂生产管理系统主要实现浸润剂生产车间的原料储备、复杂配方管理、产品质量分析、车间事件查询、报表打印等功能,为提高工艺提供详细的数据分析,为事件发生提供详细的报警数据.结合工程实践,阐述在.NET 平台下开发企业管理软件设计模式、数据库访问技术、复杂配方管理及系统安全的相关问题,对企业管理软件开发具有一定的参考价值.     

CADSTEP: Computer-aided design of variable reluctance stepping motors

This paper describes a computer program package, called CADSTEP, for designing variable reluctance stepping motors. The performance specifications like stepping angle, stepping rate, output torque, number of phases, switching sequence, and saturation flux density, etc. form the inputs to the program. The program computes and prints out the dimensions of the motor from which manufacturing drawings may be prepared and the motor manufactured. The program is based on the step-by-step design procedure which in turn, has evolved from the general theory of variable reluctance stepping motors. This is the first time that such computer aided design program for VR stepping motors is being reported. The flow-chart for the program is given.     

基于MCGS组态软件的地铁列车事件记录仪软件开发

介绍了通过利用MCGS组态软件来实现对地铁列车事件记录仪的软件开发,其中对地铁列车事件记录仪及MCGS组态软件进行了简单的讲解,详细列出了事件记录仪需要记录的基本数据及实现的功能,并利用组态软件对事件记录仪进行软件开发,模拟运行。     

Audio-enhanced computer assisted learning and computer controlled audio-instruction

A computer controlled language laboratory cassette recorder has been used as a computer peripheral to enhance computer assisted learning by the addition of an audio channel of communication. To facilitate the production of audio-enhanced CAL material a simple author code system has been devised. The same cassette recorder has also been used under the control of an “on-board” micro-computer to increase the flexibility of audio-instruction by allowing branching amongst sections of audio material in response to answers to questions.     

ENDO-LAB: an integrated, portable endocrinology laboratory software system

ENDO-LAB is an IBM PC-based system which performs calculations and record-keeping for the Vanderbilt University Medical Center Endocrinology Laboratory. It manages maintenance and quality control, and prints reports for regulatory agencies. The system was designed to minimize paperwork without changing laboratory procedures in any way. Key features of ENDO-LAB include a uniform user interface, and error detection mechanisms. The system is designed to detect data which has been incorrectly entered. In addition, where the efficacy of a test can be determined on the basis of limited data, preliminary graphs are screened as soon as possible, so that the user can terminate lengthy calculations whose outcome would be invalid or inconclusive. ENDO-LAB is an integrated system in that the same statistical and calibration programs can be applied to all of the analyses. The system is both extensible and portable; it has been successfully implemented outside Vanderbilt.     

Some properties of minimum phase systems and "Squared-down" systems

It is shown that a minimum phase system implies certain properties of the system itself. In particular, a system which has equal inputs and outputs, and which is minimum phase automatically, implies that the system must be stabilizable and detectable. It is also shown that "squaring down" a system which has more inputs than outputs, to produce a system which has equal inputs and outputs, may be an undesirable procedure to carry out, in the sense that the original nonsquared system may be minimum phase, but the "squared-down" system may in fact now be nonminimum phase.     

机载多路数字音视频记录系统的设计与实现

在飞机飞行过程中记录的座舱内外视景、座舱各仪表的画面以及座舱语音内容等信息,对于平时飞行训练评估、战时调查分析以及新型飞机的研制和试飞具有十分重要的现实意义。叙述了一种机载多路数字音视频记录系统的软硬件设计与实现,谊记录系统的数据流格式为MPEG-4,最多可记录8路视频和2路音频长迭20小时左右。     

A personalized summarization of video life-logs from an indoor multi-camera system using a fuzzy rule-based system with domain knowledge

Information summarization and retrieval are significant research topics associated with recent advancements in sensor devices, data compression and storage techniques, and high-speed internet. As a result of these advances, it is possible for people to collect huge life-logs. Video is one of the most important life information sources. This paper describes a method of summarizing video life-logs in an office environment with a multi-camera system. Previously, multi-camera systems have been used to track moving objects or to cover a wide area. This paper focuses on capturing diverse views of each office event using a multi-camera system with several cameras observing the same area. The summarization process includes camera view selection and event sequence summarization. View selection produces a single event sequence from multiple event sequences by selecting an optimal view at each time, for which domain knowledge based on the elements of the office environment and rules from questionnaire surveys have been used. Summarization creates a summary sequence from whole sequences by using a fuzzy rule-based system to approximate human decision making. The user-entered degrees of interest in objects, persons, and events are used for a personalized summarization. We confirmed experimentally that the proposed method provides promising results.     

An online activation moments determination for steady-state optimization

A method for an activation moments determination of steady-state optimizing control is developed for systems subject to disturbance inputs. This method is based on the deviation between the performance index of the controlled process and its optimal value. The estimate of the deviation is online, carried out based on the approximation of the performance index optimal value, which is a function of the disturbance inputs. It is assumed that the disturbance inputs as a representation of disturbances are available on the basis of measure and predication. The system implemented proposed method cooperates in the natural way with the scheduling algorithm of the control computer. A practical utility of the proposed approach has been presented by application to the control of a simulated stirred-tank reactor. The proposed method for the activation moments determination has been compared with the periodical activation method.     

具有I2C总线接口的A/D芯片PCF8591及其应用

I2C总线是Philips公司推出的新型单片机系统。它采用串行总线,主控器与外围器件仅靠两条线进行信息传输,一条称为时钟线(SCL),另一条位数据线(SDA)。I2C总线单片机系统较通用单片机系统电路简单。由普通CPU芯片同I2C专用器件组成的系统为模拟I2C系统,它性能稳定,价格较低,目前已得到广泛应用.本文介绍了具有I2C接口的A/D芯片PCF8591的引脚图及应用电路,并在暖水锅炉温度记录仪中得到应用。     

鸡冠石污水处理厂污泥厌氧消化处理运行实践

简要介绍了重庆市鸡冠石污水处理厂的污泥处理与沼气系统的工艺流程,着重论述了污泥厌氧消化工艺的调试与运行,对运行记录进行了分析,得出了该厂污泥厌氧消化系统已成功运行的结论。     

基于贝叶斯网络的隧道围岩失稳风险预警方法

为了对隧道围岩失稳风险做出准确判断,预防围岩失稳灾害的发生,将贝叶斯网络方法应用于隧道围岩失稳的风险预警。在系统分析隧道支护参数影响围岩稳定性的基础上,通过引入基于贝叶斯网的知识表达和相应的不确定性推理原理,构造了隧道围岩失稳风险预警专家系统;并通过工程案例验证了隧道围岩失稳风险预警专家系统好的适用性。贝叶斯网专家系统可以充分利用专家的先验知识和已有案例提供的或概率分布,可以使推理在输入数据不完备的基础上进行,能够有效地实现围岩失稳风险预警。     

中国当代版画艺术市场现状及其前景

如今中国艺术品收藏逐步升温。但与国内现今的油画、国画艺术市场的火爆相比,中国当代版画艺术市场十分低迷。可喜的是随着2003年广州嘉德版画专场拍卖会的成功,中国版画艺术市场出现起色。虽然中国当代版画艺术市场存在许多问题,但是中国版画艺术市场的前景必将美好,因为中国艺术市场的成熟规范是一个必然过程,中国经济的发展为版画市场的繁荣创造了机遇,种种规律决定了中国版画艺术市场繁荣的必然性。     

TMS-RFID: Temporal management of large-scale RFID applications

In coming years, there will be billions of RFID tags living in the world tagging almost everything for tracking and identification purposes. This phenomenon will impose a new challenge not only to the network capacity but also to the scalability of event processing of RFID applications. Since most RFID applications are time sensitive, we propose a notion of Time To Live (TTL), representing the period of time that an RFID event can legally live in an RFID data management system, to manage various temporal event patterns. TTL is critical in the “Internet of Things” for handling a tremendous amount of partial event-tracking results. Also, TTL can be used to provide prompt responses to time-critical events so that the RFID data streams can be handled timely. We divide TTL into four categories according to the general event-handling patterns. Moreover, to extract event sequence from an unordered event stream correctly and handle TTL constrained event sequence effectively, we design a new data structure, namely Double Level Sequence Instance List (DLSIList), to record intermediate stages of event sequences. On the basis of this, an RFID data management system, namely Temporal Management System over RFID data streams (TMS-RFID), has been developed. This system can be constructed as a stand-alone middleware component to manage temporal event patterns. We demonstrate the effectiveness of TMS-RFID on extracting complex temporal event patterns through a detailed performance study using a range of high-speed data streams and various queries. The results show that TMS-RFID has a very high throughput, namely 170,000–870,000 events per second for different highly complex continuous queries. Moreover, the experiments also show that the main structure to record the intermediate stages in TMS-RFID does not increase exponentially with the number of events. These results demonstrate that TMS-RFID not only supports high processing speeds, but is also highly scalable.     

IMPLICIT TRIANGULAR OBSERVER FORM DEDICATED TO A SLIDING MODE OBSERVER FOR SYSTEMS WITH UNKNOWN INPUTS

It has been presented in previous works that every uniformly observable single‐output system can be put on a triangular observation form. For this structure a special kind of sliding mode observer has been designed by authors, which ensures a finite‐time state reconstruction using a step by step observation algorithm. In this paper, we show that the multi‐output case is more delicate to study especially when the system has some unknown inputs. Thus, in order to generalizes the triangular observer form, from single to multi‐output case, we define an Implicit Triangular Observer (ITO) form. For such a form, two results are given. Firstly, we design a finite time converging observer for all values of the unknown inputs. Secondly, we give the necessary and sufficient condition, including a matching condition, for the existence of a coordinate change to put the system into this form. It is also shown that this class of systems is a subset of the uniform observable class of systems.     

Nearly optimal control laws for nonlinear systems with saturating actuators using a neural network HJB approach

The Hamilton-Jacobi-Bellman (HJB) equation corresponding to constrained control is formulated using a suitable nonquadratic functional. It is shown that the constrained optimal control law has the largest region of asymptotic stability (RAS). The value function of this HJB equation is solved for by solving for a sequence of cost functions satisfying a sequence of Lyapunov equations (LE). A neural network is used to approximate the cost function associated with each LE using the method of least-squares on a well-defined region of attraction of an initial stabilizing controller. As the order of the neural network is increased, the least-squares solution of the HJB equation converges uniformly to the exact solution of the inherently nonlinear HJB equation associated with the saturating control inputs. The result is a nearly optimal constrained state feedback controller that has been tuned a priori off-line.