介紹了一種基于MSP430系列單片機和ADXL203加速度傳感器的數字式傾角儀，它不僅可以實現水平度檢測，而且可以測量00～3600范圍內的任意傾角，分辨率可達O．1。。此外，由于該傾角儀輸出為數字結果，因此它也可以與其他的數字設備結合起來，組合成一個功能更加強大的儀器。該數字傾角儀可廣泛應用于建筑、機械、道路、橋梁、石油、煤礦和地質勘探等各種需要測量重力參考系下傾角的場合。關鍵詞：MSP430F133單片機；力敏傳感器；ADXL203加速度計；角度測量
Abstract：This paper presents a new style digital inclinometer which is developed on the basis of the MSP430F133 MCU and the ADXL203 dual axis aeeelerometer．This inclinometer not only can test levelness，but also can measure any angle between 0。and 360。with an accuracy of 0．1 O．In addition，its output is a digital result，which makes it possible to integrate itself with other digital devices to form a more functional unit．This inclinometer can be widely used in any construction site，oil field，coal-mine or geologic survey and SO on where it will provide the working people with convenience to measure any angles．Key words：MSP430F133 MCU；force sensor；ADXL203 accelerometer；angle measurement
基于AT89C52單片機的步進電機控制系統設計
摘 要: 提出了一個由AT89C52單片機控制步進電機的實例。可以通過鍵盤輸入相關數據, 并根據需要, 實時對步進電機工作方式進行設置, 具有實時性和交互性的特點。該系統可應用于步進電機控制的大多數場合。實踐表明, 系統性能優于傳統的步進電機控制器。
關鍵詞: 單片機; 步進電動機; 直流固態繼電器; 實時控制
ABSTRACT: A stepp ing motor control system based on AT89C52 chip microcomputer was described.The data can be inputwith keyboard, and stepp ingmotorwas controlled by these data. According to the demand, users can set the workingmodel of stepp ingmotor in real2time. This system can be widely used in stepp ing motor controlling. The p ractice showed that the performance of this system outdid the tradi-tional stepp ing motor controller.
提出了一個由AT89C52單片機控制步進電機的實例。可以通過鍵盤輸入相關數據, 并根據需要, 實時對步進電機工作方式進行設置, 具有實時性和交互性的特點。該系統可應用于步進電機控制的大多數場合。實踐表明, 系統性能優于傳統的步進電機控制器。關鍵詞: 單片機; 步進電動機; 直流固態繼電器; 實時控制Con trol System of Stepp ingMotor Ba sed on AT89C52 ChipM icrocomputerMENGWu2sheng, L ILiang (College of Automatization, Northwestern Polytechnical Unversity, Xipan 710072, China)ABSTRACT: A stepp ing motor control system based on AT89C52 chip microcomputer was described.The data can be inputwith keyboard, and stepp ingmotorwas controlled by these data. According to the demand, users can set the workingmodel of stepp ingmotor in real2time. This system can be widely used in stepp ing motor controlling. The p ractice showed that the performance of this system outdid the tradi tional stepp ing motor controller.KEY WORDS: Chip microcomputer; Stepp ingmotor; DCSSR; Real2time control
Finite state machines are widely used in digital circuit designs. Generally, when designing a state machine using an HDL, the synthesis tools will optimize away all states that cannot be reached and generate a highly optimized circuit. Sometimes, however, the optimization is not acceptable. For example, if the circuit powers up in an invalid state, or the circuit is in an extreme working environment and a glitch sends it into an undesired state, the circuit may never get back to its normal operating condition.
The ability to write efficient, high-speed arithmetic routines ultimately depends
upon your knowledge of the elements of arithmetic as they exist on a computer. That
conclusion and this book are the result of a long and frustrating search for
information on writing arithmetic routines for real-time embedded systems.
With instruction cycle times coming down and clock rates going up, it would
seem that speed is not a problem in writing fast routines. In addition, math
coprocessors are becoming more popular and less expensive than ever before and are
readily available. These factors make arithmetic easier and faster to use and
implement. However, for many of you the systems that you are working on do not
include the latest chips or the faster processors. Some of the most widely used
microcontrollers used today are not Digital Signal Processors (DSP), but simple
eight-bit controllers such as the Intel 8051 or 8048 microprocessors.
A Tutorial on Principal Component Analysis.Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that
is widely used but poorly understood. The goal of this paper is to dispel the magic behind this
black box.
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neural network classifiers in multimedia framework.
It is based on a fuzzy reasoning engine which is able to evaluate
the outputs and the confidence levels of the neural network classifier, using
a knowledge base. Improved image segmentation results are obtained,
which are used for adaptation of the network classifier, further increasing
its ability to provide accurate classification of the specific content.
This work briefly explains common cryptosystems and details two most popular private-key ciphers: DES ,which is probably the most widely used, and AES, which is intended to replace DES.
Create a Delaunay triangulation or Voronoi diagram by clicking points. Delaunay triangulations and Voronoi diagrams are among the most widely used data structures in the field of Computational Geometry. These are Java-oriented source codes.
The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.
