怎么计算捕鱼机条码

Unsupervisedlearningisaboutmakinguseofraw,untaggeddataandapplyinglearningalgorithmstoittohelpamachinepredictitsoutcome.Withthisbook,youwillexploretheconceptofunsupervisedlearningtoclusterlargesetsofdataandanalyzethemrepeatedlyuntilthedesiredoutcomeisfoundusingPython.Thisbookstartswiththekeydifferencesbetweensupervised,unsupervised,andsemi-supervisedlearning.Youwillbeintroducedtothebest-usedlibrariesandframeworksfromthePythonecosystemandaddressunsupervisedlearninginboththemachinelearninganddeeplearningdomains.Youwillexplorevariousalgorithms,techniquesthatareusedtoimplementunsupervisedlearninginreal-worldusecases.Youwilllearnavarietyofunsupervisedlearningapproaches,includingrandomizedoptimization,clustering,featureselectionandtransformation,andinformationtheory.Youwillgethands-onexperiencewithhowneuralnetworkscanbeemployedinunsupervisedscenarios.YouwillalsoexplorethestepsinvolvedinbuildingandtrainingaGANinordertoprocessimages.Bytheendofthisbook,youwillhavelearnedtheartofunsupervisedlearningfordifferentreal-worldchallenges.

·8.6萬(wàn)字

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Internet of Things Projects with ESP32

ESP32isalow-costMCUwithintegratedWi-FiandBLE.Variousmodulesanddevelopmentboards-basedonESP32areavailableforbuildingIoTapplicationseasily.Wi-FiandBLEareacommonnetworkstackintheInternetofThingsapplication.Thesenetworkmodulescanleverageyourbusinessandprojectsneedsforcost-effectivebenefits.ThisbookwillserveasafundamentalguidefordevelopinganESP32program.WewillstartwithGPIOprogramminginvolvingsomesensordevices.ThenwewillstudyESP32developmentbybuildinganumberofIoTprojects,suchasweatherstations,sensorloggers,smarthomes,Wi-FicamsandWi-Fiwardriving.Lastly,wewillenableESP32boardstoexecuteinteractionswithmobileapplicationsandcloudserverssuchasAWS.Bytheendofthisbook,youwillbeupandrunningwithvariousIoTproject-basedESP32chip.

·3.3萬(wàn)字

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Mastering Machine Learning on AWS

AWSisconstantlydrivingnewinnovationsthatempowerdatascientiststoexploreavarietyofmachinelearning(ML)cloudservices.ThisbookisyourcomprehensivereferenceforlearningandimplementingadvancedMLalgorithmsinAWScloud.Asyougothroughthechapters,you’llgaininsightsintohowthesealgorithmscanbetrained,tunedanddeployedinAWSusingApacheSparkonElasticMapReduce(EMR),SageMaker,andTensorFlow.WhileyoufocusonalgorithmssuchasXGBoost,linearmodels,factorizationmachines,anddeepnets,thebookwillalsoprovideyouwithanoverviewofAWSaswellasdetailedpracticalapplicationsthatwillhelpyousolvereal-worldproblems.EverypracticalapplicationincludesaseriesofcompanionnotebookswithallthenecessarycodetorunonAWS.Inthenextfewchapters,youwilllearntouseSageMakerandEMRNotebookstoperformarangeoftasks,rightfromsmartanalytics,andpredictivemodeling,throughtosentimentanalysis.Bytheendofthisbook,youwillbeequippedwiththeskillsyouneedtoeffectivelyhandlemachinelearningprojectsandimplementandevaluatealgorithmsonAWS.

·6.2萬(wàn)字

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OpenCV 4 Computer Vision Application Programming Cookbook（Fourth Edition）

OpenCVisanimageandvideoprocessinglibraryusedforalltypesofimageandvideoanalysis.Throughoutthebook,you'llworkthroughrecipesthatimplementavarietyoftasks,suchasfacialrecognitionanddetection.With70self-containedtutorials,thisbookexaminescommonpainpointsandbestpracticesforcomputervision(CV)developers.Eachrecipeaddressesaspecificproblemandoffersaproven,best-practicesolutionwithinsightsintohowitworks,sothatyoucancopythecodeandconfigurationfilesandmodifythemtosuityourneeds.ThisbookbeginsbysettingupOpenCV,andexplainshowtomanipulatepixels.You'llunderstandhowyoucanprocessimageswithclassesandcountpixelswithhistograms.You'llalsolearndetecting,describing,andmatchinginterestpoints.Asyouadvancethroughthechapters,you'llgettogripswithestimatingprojectiverelationsinimages,reconstructing3Dscenes,processingvideosequences,andtrackingvisualmotion.Inthefinalchapters,you'llcoverdeeplearningconceptssuchasfaceandobjectdetection.Bytheendofthebook,you'llbeabletoconfidentlyimplementarangetocomputervisionalgorithmstomeetthetechnicalrequirementsofyourcomplexCVprojects

·10.5萬(wàn)字

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C++ Game Development By Example

Althoughnumerouslanguagesarecurrentlybeingusedtodevelopgames,C++remainsthestandardforfabricatingexpertlibrariesandtoolchainsforgamedevelopment.ThisbookintroducesyoutotheworldofgamedevelopmentwithC++.C++GameDevelopmentByExamplestartsbytouchinguponthebasicconceptsofmath,programming,andcomputergraphicsandcreatingasimpleside-scrollingaction2Dgame.You'llbuildasolidfoundationbystudyingbasicgameconceptssuchascreatinggameloops,rendering2DgamescenesusingSFML,2Dspritecreationandanimation,andcollisiondetection.Thebookwillhelpyouadvancetocreatinga3DphysicspuzzlegameusingmodernOpenGLandtheBulletphysicsengine.You'llunderstandthegraphicspipeline,whichentailscreating3Dobjectsusingvertexandindexbuffersandrenderingthemtothesceneusingvertexandfragmentshaders.Finally,you'llcreateabasicprojectusingtheVulkanlibrarythat'llhelpyougettogripswithcreatingswapchains,imageviews,renderpasses,andframebuffersforbuildinghigh-performancegraphicsinyourgames.Bytheendofthisbook,you’llbereadywith3compellingprojectscreatedwithSFML,theVulkanAPI,andOpenGL,andyou'llbeabletakeyourgameandgraphicsprogrammingskillstothenextlevel.

·7.1萬(wàn)字

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MicroPython Cookbook

MicroPythonisanopensourceimplementationofPython3thatrunsinembeddedenvironments.WithMicroPython,youcanwritecleanandsimplePythoncodetocontrolhardwareinsteadofusingcomplexlow-levellanguageslikeCandC++.ThisbookguidesyouthroughallthemajorapplicationsoftheMicroPythonplatformtobuildandprogramprojectsthatusemicrocontrollers.TheMicroPythonbookcoversrecipesthat’llhelpyouexperimentwiththeprogrammingenvironmentandhardwareprogrammedinMicroPython.You’llfindtipsandtechniquesforbuildingavarietyofobjectsandprototypesthatcansenseandrespondtotouch,sound,position,heat,andlight.ThisbookwilltakeyouthroughtheusesofMicroPythonwithavarietyofpopularinputdevicesandsensors.You’lllearntechniquesforhandlingtimedelaysandsensorreadings,andapplyadvancedcodingtechniquestocreatecomplexprojects.Asyouadvance,you’llgettodealwithInternetofThings(IoT)devicesandintegrationwithotheronlinewebservices.Furthermore,you'llalsouseMicroPythontomakemusicwithbananasandcreateportablemultiplayervideogamesthatincorporatesoundandlightanimationsintothegameplay.Bytheendofthebook,you'llhavemasteredtipsandtrickstotroubleshootyourdevelopmentproblemsandpushyourMicroPythonprojecttothenextlevel!

·8.4萬(wàn)字

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Applied Supervised Learning with R

Rprovidesexcellentvisualizationfeaturesthatareessentialforexploringdatabeforeusingitinautomatedlearning.AppliedSupervisedLearningwithRhelpsyoucoverthecompleteprocessofemployingRtodevelopapplicationsusingsupervisedmachinelearningalgorithmsforyourbusinessneeds.Thebookstartsbyhelpingyoudevelopyouranalyticalthinkingtocreateaproblemstatementusingbusinessinputsanddomainresearch.Youwillthenlearndifferentevaluationmetricsthatcomparevariousalgorithms,andlaterprogresstousingthesemetricstoselectthebestalgorithmforyourproblem.Afterfinalizingthealgorithmyouwanttouse,youwillstudythehyperparameteroptimizationtechniquetofine-tuneyoursetofoptimalparameters.Topreventyoufromoverfittingyourmodel,adedicatedsectionwillevendemonstratehowyoucanaddvariousregularizationterms.Bytheendofthisbook,youwillhavetheadvancedskillsyouneedformodelingasupervisedmachinelearningalgorithmthatpreciselyfulfillsyourbusinessneeds.

·7.5萬(wàn)字

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Mastering Delphi Programming：A Complete Reference Guide

Delphiisacross-platformIntegratedDevelopmentEnvironment(IDE)thatsupportsrapidapplicationdevelopmentformostoperatingsystems,includingMicrosoftWindows,iOS,andnowLinuxwithRADStudio10.2.IfyouknowhowtousethefeaturesofDelphi,youcaneasilycreatescalableapplicationsinnotime.ThisLearningPathbeginsbyexplaininghowtofindperformancebottlenecksandapplythecorrectalgorithmtofixthem.You'llbrushupontricks,techniques,andbestpracticestosolvecommondesignandarchitecturalchallenges.Then,you'llseehowtoleverageexternallibrariestowritebetter-performingprograms.You'llalsolearnabouttheeightmostimportantpatternsthat'llenableyoutodevelopandimprovetheinterfacebetweenitemsandharmonizesharedmemorieswithinthreads.Asyouprogress,you'llalsodelveintoimprovingtheperformanceofyourcodeandmasteringcross-platformRTLimprovements.BytheendofthisLearningPath,you'llbeabletoaddresscommondesignproblemsandfeelconfidentwhilebuildingscalableprojects.ThisLearningPathincludescontentfromthefollowingPacktproducts:DelphiHighPerformancebyPrimo?Gabrijel?i?.Hands-OnDesignPatternswithDelphibyPrimo?Gabrijel?i?.

·16.1萬(wàn)字

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Hands-On Python Deep Learning for the Web

Whenusedeffectively,deeplearningtechniquescanhelpyoudevelopintelligentwebapps.Inthisbook,you'llcoverthelatesttoolsandtechnologicalpracticesthatarebeingusedtoimplementdeeplearninginwebdevelopmentusingPython.Startingwiththefundamentalsofmachinelearning,you'llfocusonDLandthebasicsofneuralnetworks,includingcommonvariantssuchasconvolutionalneuralnetworks(CNNs).You'lllearnhowtointegratethemintowebsiteswiththefrontendsofdifferentstandardwebtechstacks.Thebookthenhelpsyougainpracticalexperienceofdevelopingadeeplearning-enabledwebappusingPythonlibrariessuchasDjangoandFlaskbycreatingRESTfulAPIsforcustommodels.Later,you'llexplorehowtosetupacloudenvironmentfordeeplearning-basedwebdeploymentsonGoogleCloudandAmazonWebServices(AWS).Next,you'lllearnhowtouseMicrosoft'sintelligentEmotionAPI,whichcandetectaperson'semotionsthroughapictureoftheirface.You'llalsogettogripswithdeployingreal-worldwebsites,inadditiontolearninghowtosecurewebsitesusingreCAPTCHAandCloudflare.Finally,you'lluseNLPtointegrateavoiceUXthroughDialogflowonyourwebpages.Bytheendofthisbook,you'llhavelearnedhowtodeployintelligentwebappsandwebsiteswiththehelpofeffectivetoolsandpractices.

·8萬(wàn)字

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The Deep Learning with PyTorch Workshop

Wanttogettogripswithoneofthemostpopularmachinelearninglibrariesfordeeplearning?TheDeepLearningwithPyTorchWorkshopwillhelpyoudojustthat,jumpstartingyourknowledgeofusingPyTorchfordeeplearningevenifyou’restartingfromscratch.It'snosurprisethatdeeplearning'spopularityhasrisensteeplyinthepastfewyears,thankstointelligentapplicationssuchasself-drivingvehicles,chatbots,andvoice-activatedassistantsthataremakingourliveseasier.Thisbookwilltakeyouinsidetheworldofdeeplearning,whereyou'llusePyTorchtounderstandthecomplexityofneuralnetworkarchitectures.TheDeepLearningwithPyTorchWorkshopstartswithanintroductiontodeeplearninganditsapplications.You'llexplorethesyntaxofPyTorchandlearnhowtodefineanetworkarchitectureandtrainamodel.Next,you'lllearnaboutthreemainneuralnetworkarchitectures-convolutional,artificial,andrecurrent-andevensolvereal-worlddataproblemsusingthesenetworks.Laterchapterswillshowyouhowtocreateastyletransfermodeltodevelopanewimagefromtwoimages,beforefinallytakingyouthroughhowRNNsstorememorytosolvekeydataissues.Bytheendofthisbook,you'llhavemasteredtheessentialconcepts,tools,andlibrariesofPyTorchtodevelopyourowndeepneuralnetworksandintelligentapps.

·7.4萬(wàn)字

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The Applied Artificial Intelligence Workshop

Youalreadyknowthatartificialintelligence(AI)andmachinelearning(ML)arepresentinmanyofthetoolsyouuseinyourdailyroutine.ButdoyouwanttobeabletocreateyourownAIandMLmodelsanddevelopyourskillsinthesedomainstokickstartyourAIcareer?TheAppliedArtificialIntelligenceWorkshopgetsyoustartedwithapplyingAIwiththehelpofpracticalexercisesandusefulexamples,allputtogethercleverlytohelpyougaintheskillstotransformyourcareer.Thebookbeginsbyteachingyouhowtopredictoutcomesusingregression.You’llthenlearnhowtoclassifydatausingtechniquessuchask-nearestneighbor(KNN)andsupportvectormachine(SVM)classifiers.Asyouprogress,you'llexplorevariousdecisiontreesbylearninghowtobuildareliabledecisiontreemodelthatcanhelpyourcompanyfindcarsthatclientsarelikelytobuy.Thefinalchapterswillintroduceyoutodeeplearningandneuralnetworks.Throughvariousactivities,suchaspredictingstockpricesandrecognizinghandwrittendigits,you'lllearnhowtotrainandimplementconvolutionalneuralnetworks(CNNs)andrecurrentneuralnetworks(RNNs).BytheendofthisappliedAIbook,you'llhavelearnedhowtopredictoutcomesandtrainneuralnetworksandbeabletousevarioustechniquestodevelopAIandMLmodels.

·8.4萬(wàn)字

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The Deep Learning with Keras Workshop

Newexperiencescanbeintimidating,butnotthisone!Thisbeginner’sguidetodeeplearningisheretohelpyouexploredeeplearningfromscratchwithKeras,andbeonyourwaytotrainingyourfirsteverneuralnetworks.WhatsetsKerasapartfromotherdeeplearningframeworksisitssimplicity.Withovertwohundredthousandusers,Kerashasastrongeradoptioninindustryandtheresearchcommunitythananyotherdeeplearningframework.TheDeepLearningwithKerasWorkshopstartsbyintroducingyoutothefundamentalconceptsofmachinelearningusingthescikit-learnpackage.Afterlearninghowtoperformthelineartransformationsthatarenecessaryforbuildingneuralnetworks,you'llbuildyourfirstneuralnetworkwiththeKeraslibrary.Asyouadvance,you'lllearnhowtobuildmulti-layerneuralnetworksandrecognizewhenyourmodelisunderfittingoroverfittingtothetrainingdata.Withthehelpofpracticalexercises,you’lllearntousecross-validationtechniquestoevaluateyourmodelsandthenchoosetheoptimalhyperparameterstofine-tunetheirperformance.Finally,you’llexplorerecurrentneuralnetworksandlearnhowtotrainthemtopredictvaluesinsequentialdata.Bytheendofthisbook,you'llhavedevelopedtheskillsyouneedtoconfidentlytrainyourownneuralnetworkmodels.

·10.1萬(wàn)字

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Spring Cloud微服務(wù)架構(gòu)開(kāi)發(fā)

SpringCloud是一套完整的微服務(wù)架構(gòu)解決方案，它利用SpringBoot的開(kāi)發(fā)便利性巧妙地簡(jiǎn)化了分布式系統(tǒng)開(kāi)發(fā)過(guò)程。可以說(shuō)，SpringCloud繼承了SpringBoot的優(yōu)點(diǎn)，屏蔽掉了復(fù)雜的配置和實(shí)現(xiàn)原理，最終給開(kāi)發(fā)者留出了一套簡(jiǎn)單易懂、易部署和易維護(hù)的分布式系統(tǒng)開(kāi)發(fā)工具包。本書(shū)基于SpringCloudGreenwich.SR2版本，全面介紹了SpringCloud針對(duì)微服務(wù)架構(gòu)中核心要素的解決方案和基礎(chǔ)組件。希望讀者通過(guò)本書(shū)的學(xué)習(xí)，能夠?qū)W會(huì)SpringCloud各個(gè)組件的用法，并了解分布式微服務(wù)架構(gòu)的搭建過(guò)程。

·7.6萬(wàn)字

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電腦軟硬件維修大全（實(shí)例精華版）

本書(shū)并不試圖簡(jiǎn)單地羅列電腦發(fā)生的故障，而是著重介紹判斷和解決電腦故障的方法和手段。本書(shū)以電腦軟硬件維修的基本技能知識(shí)開(kāi)篇，讓讀者能夠充分了解電腦的結(jié)構(gòu)原理，掌握電腦軟硬件故障發(fā)生的原因，以及解決故障的思路。同時(shí)本書(shū)還提供了電腦軟硬件故障的應(yīng)急處理方法，讓你在電腦“罷工”時(shí)不至于手忙腳亂，無(wú)從下手。

·25.6萬(wàn)字

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STM32嵌入式技術(shù)應(yīng)用開(kāi)發(fā)全案例實(shí)踐

本書(shū)主要介紹STM32F4系列微控制器在工程應(yīng)用中所需的基礎(chǔ)知識(shí)、硬件外設(shè)的工作原理以及編程開(kāi)發(fā)的相關(guān)技術(shù)。本書(shū)由5個(gè)項(xiàng)目共16個(gè)任務(wù)構(gòu)成，介紹STM32的基礎(chǔ)知識(shí)、基于STM32F4標(biāo)準(zhǔn)外設(shè)庫(kù)的工程建立和STM32F4系統(tǒng)時(shí)鐘的配置，并結(jié)合可控LED流水燈的設(shè)計(jì)與實(shí)現(xiàn)、智能小車(chē)運(yùn)動(dòng)控制系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)、環(huán)境參數(shù)監(jiān)測(cè)和顯示系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)、多機(jī)通信系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)等案例，對(duì)GPIO、外部中斷、USART、ADC、定時(shí)器、SPI、I2C、SDIO、CAN等常用硬件外設(shè)進(jìn)行講解。本書(shū)在內(nèi)容組織上采用了“項(xiàng)目引領(lǐng)、任務(wù)驅(qū)動(dòng)”的模式。針對(duì)MCU常用的硬件外設(shè)，設(shè)定了對(duì)應(yīng)的應(yīng)用場(chǎng)景作為案例，并在講解的過(guò)程中將所需的知識(shí)點(diǎn)和技能點(diǎn)同任務(wù)實(shí)施過(guò)程有機(jī)結(jié)合了起來(lái)。案例中還融入了全國(guó)職業(yè)院校技能大賽“嵌入式技術(shù)應(yīng)用開(kāi)發(fā)”賽項(xiàng)的考核點(diǎn)，按照任務(wù)分析—知識(shí)鏈接—任務(wù)實(shí)施的路線對(duì)其展開(kāi)了討論，十分有利于讀者學(xué)習(xí)與實(shí)踐。本書(shū)可作為電子信息類和通信類專業(yè)的教學(xué)用書(shū)，也可作為從事嵌入式產(chǎn)品設(shè)計(jì)、智能終端設(shè)備開(kāi)發(fā)的工程技術(shù)人員的自學(xué)用書(shū)。

·12.1萬(wàn)字

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IP網(wǎng)絡(luò)視頻傳輸：技術(shù)、標(biāo)準(zhǔn)和應(yīng)用

《IP網(wǎng)絡(luò)視頻傳輸技術(shù)標(biāo)準(zhǔn)和應(yīng)用》在簡(jiǎn)要回顧IP網(wǎng)絡(luò)傳輸和視頻信號(hào)處理基本原理的基礎(chǔ)上，著重介紹了近年來(lái)IP網(wǎng)絡(luò)視頻流傳輸?shù)南嚓P(guān)技術(shù)、標(biāo)準(zhǔn)和應(yīng)用。《IP網(wǎng)絡(luò)視頻傳輸技術(shù)標(biāo)準(zhǔn)和應(yīng)用》全書(shū)共分12章，第1-3章簡(jiǎn)要介紹了通信網(wǎng)絡(luò)和視頻信號(hào)處理方面的基本概況，視頻編碼的基本原理、主要方法，HEVC/H.265標(biāo)準(zhǔn)及其關(guān)鍵技術(shù)。第4、5章介紹了IP網(wǎng)絡(luò)，特別是無(wú)線IP網(wǎng)絡(luò)的分層結(jié)構(gòu)、主要協(xié)議、傳輸環(huán)境、網(wǎng)絡(luò)種類和傳輸方式。第6-8章介紹了壓縮視頻信號(hào)的流化，經(jīng)典的流媒體網(wǎng)絡(luò)傳輸，以及新制定的DASH傳輸標(biāo)準(zhǔn)及其關(guān)鍵技術(shù)。第9-11章介紹了IP網(wǎng)絡(luò)視頻傳輸?shù)馁|(zhì)量保證，傳輸控制和差錯(cuò)控制，以及高清、超高清視頻的網(wǎng)絡(luò)傳輸標(biāo)準(zhǔn)和同步技術(shù)。第12章介紹了幾種典型IP網(wǎng)絡(luò)視頻傳輸?shù)膽?yīng)用系統(tǒng)。《IP網(wǎng)絡(luò)視頻傳輸技術(shù)標(biāo)準(zhǔn)和應(yīng)用》可作為從事信號(hào)處理、通信工程、計(jì)算機(jī)應(yīng)用、廣播電視、計(jì)算機(jī)視覺(jué)及自動(dòng)控制等領(lǐng)域的工程技術(shù)人員、大專院校相關(guān)專業(yè)的高年級(jí)學(xué)生、研究生或教師的參考用書(shū)。

·28.1萬(wàn)字

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嵌入式系統(tǒng)原理：基于Arm Cortex-M微控制器體系

本書(shū)介紹如何使用基于ArmCortex-M0內(nèi)核的KinetisKL25Z單片機(jī)進(jìn)行嵌入式系統(tǒng)搭建，內(nèi)容覆蓋CPU、中斷系統(tǒng)、外設(shè)與編程，全部使用C語(yǔ)言實(shí)現(xiàn)；介紹了CPU上的多任務(wù)實(shí)現(xiàn)，其目的是提高響應(yīng)能力和軟件模塊化，同時(shí)減少CPU的開(kāi)銷；探討了中斷、外設(shè)和調(diào)度程序的相互作用。全書(shū)共9章，第1章使用實(shí)例介紹嵌入式系統(tǒng)的各個(gè)部分，之后章節(jié)分別講解輸入/輸出端口、并行、中斷、C語(yǔ)言基礎(chǔ)、模擬接口、定時(shí)器、串行通信和直接內(nèi)存訪問(wèn)等內(nèi)容。本書(shū)可作為高等院校計(jì)算機(jī)、電子工程等專業(yè)的教材，也可作為嵌入式系統(tǒng)開(kāi)發(fā)人員的參考書(shū)。

·12.3萬(wàn)字

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微服務(wù)實(shí)戰(zhàn)

《微服務(wù)實(shí)戰(zhàn)》主要介紹如何開(kāi)發(fā)和維護(hù)基于微服務(wù)的應(yīng)用。本書(shū)源自作者從日常開(kāi)發(fā)中得到的積累和感悟，其中給出的案例覆蓋從微服務(wù)設(shè)計(jì)到部署的各個(gè)階段，能夠帶給你真實(shí)的沉浸式體驗(yàn)。通過(guò)閱讀本書(shū)，你不僅能夠了解用微服務(wù)搭建高效的持續(xù)交付流水線的方法，還能夠運(yùn)用Kubernetes、Docker以及GoogleContainerEngine進(jìn)一步探索書(shū)中的示例。

·18.2萬(wàn)字

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單片機(jī)系統(tǒng)設(shè)計(jì)與開(kāi)發(fā)教程

本書(shū)以單片機(jī)的單元電路設(shè)計(jì)和應(yīng)用實(shí)例為主線，對(duì)涉及的相關(guān)理論進(jìn)行介紹，共分為基礎(chǔ)篇、設(shè)計(jì)篇和應(yīng)用篇三部分。基礎(chǔ)篇包括單片機(jī)應(yīng)用系統(tǒng)的設(shè)計(jì)與開(kāi)發(fā)、KeilV808A和Proteus軟件的使用、單片機(jī)內(nèi)部資源及其C語(yǔ)言編程。設(shè)計(jì)篇主要包括LED數(shù)碼管、矩陣鍵盤(pán)、定時(shí)器中斷、液晶顯示、串口通信、紅外接收、A/D和D/A轉(zhuǎn)換等單元電路設(shè)計(jì)。應(yīng)用篇包括數(shù)字溫度計(jì)設(shè)計(jì)、無(wú)線數(shù)據(jù)傳輸系統(tǒng)設(shè)計(jì)、超聲波測(cè)距儀設(shè)計(jì)、鐵路限速標(biāo)志設(shè)計(jì)。本書(shū)內(nèi)容豐富，實(shí)用性強(qiáng)，可作為高等院校信息與通信工程及相關(guān)專業(yè)的本科生教材，還可作為相關(guān)領(lǐng)域的工程技術(shù)人員的參考書(shū)。

·9.3萬(wàn)字

會(huì)員

常用辦公設(shè)備使用與維護(hù)

本書(shū)是計(jì)算機(jī)應(yīng)用、文秘及相關(guān)專業(yè)系列教材之一，根據(jù)教育部中職中專的培養(yǎng)目標(biāo)和新課改的基本要求，跟蹤當(dāng)前辦公設(shè)備的新發(fā)展，以及加強(qiáng)操作性環(huán)節(jié)的要求，由具有豐富教學(xué)經(jīng)驗(yàn)和實(shí)踐經(jīng)驗(yàn)的教師編寫(xiě)而成。主要內(nèi)容包括：打印機(jī)、復(fù)印機(jī)、投影機(jī)、傳真機(jī)、掃描儀、數(shù)碼相機(jī)及辦公自動(dòng)化輔助設(shè)備。分別介紹了辦公設(shè)備的基本結(jié)構(gòu)、使用方法和技巧、以及基本維護(hù)方法和典型故障的排除。

·4.1萬(wàn)字

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單片機(jī)系統(tǒng)設(shè)計(jì)與開(kāi)發(fā)教程

常用辦公設(shè)備使用與維護(hù)