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RFID+Systems

RFID networks are currently recognized as one a research area of priority. Research activities related to RFID technology have been booming recently. A number of ongoing projects are being funded in Europe, Asia, and North America. According to leading market analysts, the development of the RFID market is projected to increase from approximately $3 billion in 2005 to $25 billion in 2015. Several countries have dedicated innovation programs to support and develop RFID systems and related technologies: the RFID initiative in Taiwan, Ubiquitous Japan and the NSF SBIR program in the USA. The EU has recently advertised its Strategic Research Roadmap concerning the Internet of Things, which first of all refers to the RFID technology before being extended to commu- nicating devices as in M2M (Machine to Machine). In this roadmap, several application domains have been identified:

標(biāo)簽： Systems RFID

上傳時(shí)間： 2020-06-08

上傳用戶(hù)：shancjb
Intelligent+Control+Systems+with+LabVIEW?

Control systems are becoming more important every day. At the beginning, the in- dustry used sequential controls for solving a lot of industrial applications in control systems, and then the linear systems gave us a huge increase in applying automatic linear control on industrial application. One of the most recent methods for control- ling industrial applications is intelligent control, which is based on human behavior or concerning natural process.

標(biāo)簽： Intelligent Control Systems LabVIEW with

上傳時(shí)間： 2020-06-10

上傳用戶(hù)：shancjb
Machine Learning Healthcare Technologies

Much has been written concerning the manner in which healthcare is changing, with a particular emphasis on how very large quantities of data are now being routinely collected during the routine care of patients. The use of machine learning meth- ods to turn these ever-growing quantities of data into interventions that can improve patient outcomes seems as if it should be an obvious path to take. However, the field of machine learning in healthcare is still in its infancy. This book, kindly supported by the Institution of Engineering andTechnology, aims to provide a “snap- shot” of the state of current research at the interface between machine learning and healthcare.

標(biāo)簽： Technologies Healthcare Learning Machine

上傳時(shí)間： 2020-06-10

上傳用戶(hù)：shancjb
基于MSP430F5529單片機(jī)綜合實(shí)驗(yàn)裝置的研制

針對(duì)目前MSP430單片機(jī)實(shí)驗(yàn)裝置較少、實(shí)驗(yàn)內(nèi)容少,而且無(wú)MSP430高端產(chǎn)品的實(shí)驗(yàn)裝置,研制了基于MSP430F5529單片機(jī)的綜合實(shí)驗(yàn)裝置,主要包括MSP430 Launch Pad和母板兩部分。較傳統(tǒng)的單片機(jī)實(shí)驗(yàn)裝置增加了模擬電路的設(shè)置,設(shè)計(jì)的實(shí)驗(yàn)?zāi)軌蚶脝纹瑱C(jī)的所有外設(shè),可進(jìn)行模塊基礎(chǔ)實(shí)驗(yàn)和綜合實(shí)驗(yàn)兩大類(lèi)實(shí)驗(yàn),非常適合自動(dòng)化和電氣信息類(lèi)大學(xué)生學(xué)習(xí)使用。concerning with the lack of experimental equipment and content based on MSP430,and especially,the experimental equipment of MSP430 senior products,an experimental equipment based on MSP430F5529 microcontroller is developed. It mainly consists of two parts： MSP430 Launch Pad and main board. Compared with traditional microcontroller experiment equipment,a few analog circuits were added. The experiment we set up takes advantage of all microcontroller peripherals. Students can do two kinds of experiments： module experiment and complex experiment.Therefore it fits university students in automation and electrical major very well.

標(biāo)簽： msp430f5529 單片機(jī)

上傳時(shí)間： 2022-04-13

上傳用戶(hù)：