基于PIC單片機的低功耗讀卡器硬件設計:本文提出了一個完整的基于串口的智能讀卡器子系統設計方案并將其實現。讀卡器的設計突出了小型化的要求，全部器件使用貼片封裝。為了減小讀卡器的體積，設計中還使用了串口竊電的技術，使用串口信號線直接給讀卡器供電。為此，讀卡器使用了省電的設計，采用了省電的集成電路，并大膽簡化了許多傳統的設計電路。關鍵字： 讀卡器， 單片機， 串口竊電
Abstract： This paper aims to put forward a complete design of Smart IC card reader based onSerial Port and propose the way of realizing it for the purpose of Network Security. SMD isadopted to make Smart IC reader smaller in this design. To reduce the volume of Smart ICreader， Serial Port powered technology is employed to get power from the signal line of Serial Port. For this reason， low-power consumption components are adopted in the design and some traditional designs are simplified to reduce the power consumption.Keywords： Card Reader； Single-chip Computer； Serial Port Powered
IC 卡系統保存了加密算法所需要的工作密鑰，供加密算法對網絡上傳輸的數據加密使用，是整個系統網絡安全的核心。在IC 卡子系統中，讀卡器是一個重要的部分。它起著管理IC卡、在IC 卡和PC或網絡計算機間傳遞數據的重要作用。本文以一片PIC單片機為核心完成了基于RS232 串口的讀卡器的硬件設計。
使用Nios II軟件構建工具
This chapter describes the Nios® II Software Build Tools (SBT), a set of utilities and
scripts that creates and builds embedded C/C++ application projects, user library
projects, and board support packages (BSPs). The Nios II SBT supports a repeatable,
scriptable, and archivable process for creating your software product.
You can invoke the Nios II SBT through either of the following user interfaces:
■ The Eclipse™ GUI
■ The Nios II Command Shell
The purpose of this chapter is to make you familiar with the internal functionality of
the Nios II SBT, independent of the user interface employed.
The same two-stage decoder as above. However, when transforming the symbols prior to Viterbi decoding, the amplitude information is ignored and only the phase of the received symbol is employed in the metric computation stage.
In this first-ever paperback edition of his long-time best-seller, motivational speaker Steve Chandler helps you create an action plan for living your vision in business and in life. It features 100 proven methods to positively change the way you think and act-methods based on feedback from the hundreds of thousands of corporate and public seminar attendees Chandler speaks to each year. 100 Ways to Motivate Yourself will help you break through the negative barriers and banish the pessimistic thoughts that are preventing you from fulfilling your lifelong goals and dreams. Whether you re self-employed, a manager, or a high-level executive, it s still easy to get stuck in the daily routines of life, fantasizing about what could have been. Steve Chandler helps you turn that way of thinking around and make what could have been into what can and will be.
In this article, we present an overview of methods for sequential simulation from posterior distributions.
These methods are of particular interest in Bayesian filtering for discrete time dynamic models
that are typically nonlinear and non-Gaussian. A general importance sampling framework is developed
that unifies many of the methods which have been proposed over the last few decades in several
different scientific disciplines. Novel extensions to the existing methods are also proposed.We showin
particular how to incorporate local linearisation methods similar to those which have previously been
employed in the deterministic filtering literature these lead to very effective importance distributions.
Furthermore we describe a method which uses Rao-Blackwellisation in order to take advantage of
the analytic structure present in some important classes of state-space models. In a final section we
develop algorithms for prediction, smoothing and evaluation of the likelihood in dynamic models.
In this paper we describe a control methodology for
catching a fast moving object with a robot manipulator,
where visual information is employed to track the
trajectory of the target. Sensing, planning and control
are performed in real-time to cope with possible
unpredictable trajectory changes of the moving target,
and prediction techniques are adopted to compensate the
time delays introduced by visual processing and by the
robot controller. A simple but reliable model of the
robot controller has been taken into account in the
control architecture for improving the performance of the
system. Experimental results have shown that the robot
system is capable of tracking and catching an object
moving on a plane at velocities of up to 700 mm/s and
accelerations of up to 1500 mm/s2.
一篇關于TCP-Vegas的文獻:Vegas is an implementation of TCP that achieves between 37 and 71％ better throughput on the Internet, with onefifth to one-half the losses, as compared to the implementation of TCP in the Reno distribution of BSD Unix. This paper motivates and describes the three key techniques employed by Vegas, and presents the results of a comprehensive experimental performance study—using both simulations and measurements on the Internet—of the Vegas and Reno implementations of TCP.
We introduce a sub-cell WENO reconstruction method to evaluate spatial derivatives in the high-order ADER scheme. The basic idea in our reconstruction is to use only r stencils to reconstruct the point-wise values of solutions and spatial derivatives for the 2r-1 th order
ADER scheme in one dimension, while in two dimensions, the dimension-by-dimension sub-cell reconstruction approach for spatial derivatives is employed. Compared with the original ADER scheme of Toro and Titarev (2002) [2] that uses the direct derivatives of reconstructed polynomials for solutions to evaluate spatial derivatives, our method not only reduces greatly the computational costs of the ADER scheme on a given mesh,
but also avoids possible numerical oscillations near discontinuities, as demonstrated by a number of one- and two-dimensional numerical tests. All these tests show that the 5th-order ADER scheme based on our sub-cell reconstruction method achieves the desired accuracy, and is essentially non-oscillatory and computationally cheaper for problems with discontinuities.
With the rapid expansion of wireless consumer products,there has been a con-
siderable increase in the need for radio-frequency (RF) planning, link plan-
ning, and propagation modeling.A network designer with no RF background
may find himself/herself designing a wireless network. A wide array of RF
planning software packages can provide some support, but there is no substi-
tute for a fundamental understanding of the propagation process and the lim-
itations of the models employed. Blind use of computer-aided design (CAD)
programs with no understanding of the physical fundamentals underlying the
process can be a recipe for disaster. Having witnessed the results of this
approach, I hope to spare others this frustration.
