為解決當(dāng)前計(jì)算機(jī)串行通訊接口只有USB，難以滿足舊型號(hào)設(shè)備或某些單片機(jī)要求RS232通訊的問(wèn)題，設(shè)計(jì)出兩款RS232/USB電路。采用CH341A與MAX223集成電路芯片構(gòu)建標(biāo)準(zhǔn)9線RS232/USB通用接口轉(zhuǎn)換器，無(wú)需編程。采用CH341A與PIC16F877A構(gòu)建單片機(jī)與計(jì)算機(jī)之間的USB通訊電路，軟件遵循RS232通訊協(xié)議，硬件進(jìn)行電平轉(zhuǎn)換。實(shí)際使用表明，這兩款產(chǎn)品與計(jì)算機(jī)端Windows 操作系統(tǒng)下的串口應(yīng)用程序完全兼容，且通訊過(guò)程中無(wú)握手失敗現(xiàn)象。
Abstract: To solve the problem that current computer serial communication only with USB interface can not satisfy with the old type equipments or MCU to communicate with RS232， two kinds of RS232/USB circuit were designed.CH341A and MAX223 integrated circuit chips were used to create a standard 9-line RS232/USB universal interface convertor without programme. CH341A and PIC16F877A chips were adopted to build the USB communication circuit between computeRS and MCU. The software follows RS232 communication protocol， and the hardware converts electrical levels. Actual practices indicate that the two manufactures are compatible with serial application program of Windows operation system completely，and get avoid of handshake lost.
為了提高環(huán)境參數(shù)采集的自動(dòng)化水平，提升效率，設(shè)計(jì)了無(wú)線傳感器系統(tǒng)。本系統(tǒng)運(yùn)用了傳感器技術(shù)、通信技術(shù)和單片機(jī)技術(shù)，實(shí)現(xiàn)了對(duì)環(huán)境溫度、濕度、光照度以及可燃性氣體濃度等參數(shù)的檢測(cè)。它能夠?qū)崟r(shí)地與上位機(jī)進(jìn)行無(wú)線通信，滿足對(duì)環(huán)境參數(shù)實(shí)時(shí)監(jiān)測(cè)的要求。
Abstract:
In order to increase the degree of automation and improve the efficiency of the environment monitoring parameters，the wireless sensor system was developed.Combining with the technique of sensor,automatic monitoring，communication and single-chip microcomputer，it realized real-time monitoring environment parameters,such as temperature，humidity，illumination，concentration of com- bustible gas and so on.At the same time it can communicate with upper personal computeRS，satisfy the desire of real-time monitoring.
Today in many applications such as network switches, routers, multi-computeRS,and processor-memory interfaces, the ability to integrate hundreds of multi-gigabit I/Os is desired to make better use of the rapidly advancing IC technology.
It would not be an exaggeration to say that semiconductor devices have transformed humanlife. From computeRS to communications to internet and video games these devices and the technologies they have enabled have expanded human experience in a way that is unique in history. Semiconductor devices have exploited materials, physics and imaginative applications to spawn new lifestyles. Of course for the device engineer, in spite of the advances, the challenges of reaching higher frequency, lower power consumption, higher power generation etc.
Password Safe Password Safe is a password database utility. Users can keep their passwords securely encrypted on their computeRS. A single Safe Combination unlocks them all.
Blaster is a simple application that illustrates Windows NT 5.0’s support of the IrDA protocol. IrDA provides reliable point to point connectivity between 2 computeRS equipped with infrared
palm編成,這種書(shū)很少,有興趣看看
Title: Palm Programming: The Developer s Guide
URL: http://safari.oreilly.com/JVXSL.asp?x=1&mode=section&sortKey=rank&sortOrder=desc&view=book&xmlid=1-56592-525-4&open=false&srchText=palm+programming&code=&h=&m=&l=1&catid=&s=1&b=1&f=1&t=1&c=1&u=1&page=0
ISBN: 1-56592-525-4
Author: Julie McKeehan/ Neil Rhodes
Publisher: O Reilly
Page: 478
Edition: 1st edition (December 1998)
Catalog: PDA programming / Palm
Format: pdf
Size: 2.06M
Supplier:
Summary: Emerging as the bestselling hand-held computeRS of all time, PalmPilots have spawned intense developer activity and a fanatical following. Used by Palm in their developer training, this tutorial-style book shows intermediate to experienced C programmers how to build a Palm application from the ground up. Includes a CD-ROM with source code and third-party developer tools
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computeRS had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
