-- DESCRIPTION : Shift register
-- Type : univ
-- Width : 4
-- Shift direction: right/left (right active high)
--
-- CLK active : high
-- CLR active : high
-- CLR type : synchronous
-- SET active : high
-- SET type : synchronous
-- LOAD active : high
-- CE active : high
-- SERIAL input : SI
This article introduces how to construct a Hospital Ward Information System with three-tiered technology. The System applies to UML, BDE, MIDAS, distributed compute theory and a special architecture to make such functions: patients check in and check out, prescription input, drug-delivery at center pharmacy and information of patient manage with computer networking.
RS232.C was written to provide all of the basic functionality needed
to employ serial I/O in any application written with Borland C
language compilers. Some features are:
1. Ease of use. No assembly language or library files are used and a simple "#include" statement is all that is required to access all of the functions provided.
2. Both input and output are buffered and interrupt driven for efficiency.
3. Serial ports 1 - 4 are supported on PC, AT and PS/2 compatibles.Chained interrupts used on port 3 and 4 are allowed for so as not to interfere with devices such as a mouse or printer. Transmission speeds of 110 to 115200 baud are available.
4. Detection and utilization of hardware buffered UARTs (NS16550AF
etc.) found in some machines is automatic.
5. Interrupt driven hardware and XON/XOFF flow control is provided for.
6. All source code is included. RS232.C can be used with all memory
models.
a sample WDM stream class video capture driver that supports two IEEE 1394 digital cameras.
The same driver may be able to support other digital cameras that conform to 1394-based Digital Camera Specification from 1394 Trade Association.
Digital camera supported by dcam.sys is a data source that produces digital image data without any other input connection. It manifests itself in a DirectShow graph as a WDM Streaming Capture Device and as a capture filter that has output capture stream supporting image sizes of 320x240 with a UYVY color space. Its de-compressor, Msyuv.dll, is part of the OS delivery, and it can convert image data format from UYVY to RGB16, RGB8, or to a Direct Draw surface if the video card supports UYVY format.
MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as a representative. The input formats accepted are: dta, mgf, mzXML. The output format is mgf.
ieee投稿須知,The IEEE Transactions on Information Technology in Biomedicine publishes high
quality applications & infrastructure papers that reflect global information technology
advances in medicine and biology and will further address the implementation and management of the broad spectrum of health care innovations arising from these developments world-wide
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
A Matlab toolbox for exact linear time-invariant system identification is presented. The emphasis is on the variety of possible ways to implement the mappings from data to parameters of the data generating system. The considered system representations are input/state/output, difference equation, and left matrix fraction.
KEYWORDS: subspace identification, deterministic subspace identification, balanced model reduction, approximate system identification, MPUM.