As mentioned, most computers include a serial port. The only hardware setup required is connecting the serial cable to the serial port on the PC and the serial port on the instrument. The serial instrument may include some hardware drivers or software utilities for communication, and should include documentation on the baud rate, packet size, stop bits, and parity bits that the instrument will use. Additionally, check the National Instruments Instrument Driver Network to see if LabVIEW drivers already exist for yout instrument, as
為滿足礦井安全生產要求,介紹了一種以AT89C51單片機為主控器,對環境空氣的溫度、有毒易燃氣體的濃度等進行檢測的監控系統。該系統配合外圍電路能實現對上述環境指標的控制并存儲相關數據與上位PC機通信。它采用硬件抗干擾和軟件抗干擾技術,以確保整個系統工作的準確性。
Abstract:
In order to meet the needs of mine produce safety,a kind of intellignet mine ambient monotoring and control system based on AT89C51 is introduced.This system can detect the temperature of ambient of mine,the density of poisonous inflammable gas,combined external circuit.With its function part, this system can change above-mentioned elements.
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You may not export, or transfer for the purpose of reexport, any technical
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amendment or supplement thereto. Further, you may not export the product
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This product may be controlled for export purposes.
You may not export, or transfer for the purpose of reexport, any technical
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This set of simulation files performs a computational complexity performance comparison of the two methods mentioned in the paper. The source is ANSI-C compliant, hence any C-compiler can be used to compile the source code. It has been tested using Visual Studio.net C++ and TI code composer studio C compiler for the TMS320C6701. Note that the performance comparison may be different for different platforms.
An unsatisfactory property of particle filters is that they
may become inefficient when the observation noise is low.
In this paper we consider a simple-to-implement particle filter,
called ‘LIS-based particle filter’, whose aim is to overcome
the above mentioned weakness. LIS-based particle
filters sample the particles in a two-stage process that uses
information of the most recent observation, too. Experiments
with the standard bearings-only tracking problem indicate
that the proposed new particle filter method is indeed
a viable alternative to other methods.
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.