LEADER 03961nam 2200493 450 001 9910467172703321 005 20200520144314.0 035 $a(CKB)4100000000880904 035 \\$a(Safari)9781787120730 035 $a(OCoLC)1000390969 035 $a(MiAaPQ)EBC4925644 035 $a(CaSebORM)9781787120730 035 $a(PPN)220199124 035 $a(Au-PeEL)EBL4925644 035 $a(CaPaEBR)ebr11444592 035 $a(OCoLC)999651647 035 $a(EXLCZ)994100000000880904 100 $a20171018h20172017 uy 0 101 0 $aeng 135 $aurunu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalytics for the Internet of things (IoT) $eintelligent analytics for your intelligent devices /$fAndrew Minteer 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt,$d2017. 210 4$dİ2017 215 $a1 online resource (1 volume) $cillustrations 300 $aIncludes index. 311 $a1-78712-757-5 311 $a1-78712-073-2 330 $aBreak through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book Make better business decisions and acquire greater control of your IoT infrastructure Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn Overcome the challenges IoT data brings to analytics Understand the variety of transmission protocols for IoT along with their strengths and weaknesses Learn how data flows from the IoT device to the final data set Develop techniques to wring value from IoT data Apply geospatial analytics to IoT data Use machine learning as a predictive method on IoT data Implement best strategies to get the most from IoT analytics Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You?ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We?ll also review the economics of IoT analytics and you?ll discover ways to optimize business value. By the end of the book, you?ll know how to handle scale for both data storage and analytics, how Apache... 606 $aEmbedded Internet devices 608 $aElectronic books. 615 0$aEmbedded Internet devices. 676 $a004.678 700 $aMinteer$b Andrew$0996775 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910467172703321 996 $aAnalytics for the Internet of things (IoT)$92285387 997 $aUNINA LEADER 01869nam 2200517I 450 001 9910702506103321 005 20141210142814.0 035 $a(CKB)5470000002429122 035 $a(OCoLC)897945344 035 $a(EXLCZ)995470000002429122 100 $a20141210j201404 ua 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAeroelastic tailoring of transport aircraft wings $estate-of-the-art and potential enabling technologies /$fChristine V. Jutte, Bret K. Stanford 210 1$aHampton, Virginia :$cNational Aeronautics and Space Administration, Langley Research Center,$dApril 2014. 215 $a1 online resource (29 pages) $ccolor illustration 225 1 $aNASA/TM ;$v2014-218252 300 $aTitle from title screen (viewed Dec. 8, 2014). 300 $a"April 2014." 320 $aIncludes bibliographical references (pages 22-29). 517 $aAeroelastic tailoring of transport aircraft wings 606 $aTransport aircraft$2nasat 606 $aAeroelasticity$2nasat 606 $aSweptback wings$2nasat 606 $aStructural design$2nasat 606 $aSmart materials$2nasat 606 $aFunctionally gradient materials$2nasat 615 7$aTransport aircraft. 615 7$aAeroelasticity. 615 7$aSweptback wings. 615 7$aStructural design. 615 7$aSmart materials. 615 7$aFunctionally gradient materials. 700 $aJutte$b Christine V.$01410717 702 $aStanford$b Bret K. 712 02$aLangley Research Center, 712 02$aUnited States.$bNational Aeronautics and Space Administration, 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910702506103321 996 $aAeroelastic tailoring of transport aircraft wings$93499996 997 $aUNINA