LEADER 03323 am 22006733u 450 001 9910293150403321 005 20230125213406.0 010 $a1-4842-0100-0 024 7 $a10.1007/978-1-4842-0100-8 035 $a(CKB)3710000000249723 035 $a(OCoLC)893684626 035 $a(CaPaEBR)ebrary10935086 035 $a(SSID)ssj0001354037 035 $a(PQKBManifestationID)11906040 035 $a(PQKBTitleCode)TC0001354037 035 $a(PQKBWorkID)11322201 035 $a(PQKB)11472304 035 $a(MiAaPQ)EBC3081913 035 $a(DE-He213)978-1-4842-0100-8 035 $a(MiAaPQ)EBC6422514 035 $a(Au-PeEL)EBL6422514 035 $a(OCoLC)1105806083 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/32523 035 $a(CaSebORM)9781484201008 035 $a(PPN)181347636 035 $a(EXLCZ)993710000000249723 100 $a20140917d2014 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAndroid Application Development for the Intel Platform$b[electronic resource] /$fby Ryan Cohen, Tao Wang 205 $a1st ed. 2014. 210 $cSpringer Nature$d2014 210 1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2014. 215 $a1 online resource (508 p.) 225 1 $aThe expert's voice in app development 300 $aIncludes index. 311 $a1-4842-0101-9 330 $aThe number of Android devices running on Intel processors has increased since Intel and Google announced, in late 2011, that they would be working together to optimize future versions of Android for Intel Atom processors. Today, Intel processors can be found in Android smartphones and tablets made by some of the top manufacturers of Android devices, such as Samsung, Lenovo, and Asus. The increase in Android devices featuring Intel processors has created a demand for Android applications optimized for Intel Architecture: Android Application Development for the Intel® Platform is the perfect introduction for software engineers and mobile app developers. Through well-designed app samples, code samples and case studies, the book teaches Android application development based on the Intel platform?including for smartphones, tablets, and embedded devices?covering performance tuning, debugging and optimization. This book is jointly developed for individual learning by Intel Software College and China Shanghai JiaoTong University. 606 $aMobile computing 606 $aComputer programming 606 $aMobile Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I29060 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 610 $aComputer science 615 0$aMobile computing. 615 0$aComputer programming. 615 14$aMobile Computing. 615 24$aProgramming Techniques. 676 $a005.25 700 $aCohen$b Ryan$4aut$4http://id.loc.gov/vocabulary/relators/aut$0903803 702 $aWang$b Tao$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a9910293150403321 996 $aAndroid Application Development for the Intel Platform$92020282 997 $aUNINA LEADER 02207oam 2200505I 450 001 9910705261203321 005 20141204140520.0 035 $a(CKB)5470000002448754 035 $a(OCoLC)877883215 035 $a(OCoLC)995470000002448754 035 $a(EXLCZ)995470000002448754 100 $a20140422d2013 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnalysis and synthesis of load forecasting data for renewable integration studies $epreprint /$fN. Steckler [and three others] 210 1$aGolden, CO :$cNational Renewable Energy Laboratory,$d2013. 215 $a1 online resource (6 pages) $ccolor illustrations 225 1 $aNREL/CP ;$v5D00-60270 300 $a"November 2013." 300 $a"Presented at the 12th International Workshop on Large-Scale Integration of Wind Power into Power Systems, London, England, October 22-24, 2013." 300 $aTitle from title screen (viewed on Apr. 22, 2014). 320 $aIncludes bibliographical references (page 6). 517 $aAnalysis and synthesis of load forecasting data for renewable integration studies 606 $aElectric power-plants$xLoad$xForecasting 606 $aElectric power consumption$xForecasting 606 $aInterconnected electric utility systems$xResearch 606 $aError analysis (Mathematics) 615 0$aElectric power-plants$xLoad$xForecasting. 615 0$aElectric power consumption$xForecasting. 615 0$aInterconnected electric utility systems$xResearch. 615 0$aError analysis (Mathematics) 700 $aSteckler$b Nicholas$01399855 712 02$aNational Renewable Energy Laboratory (U.S.), 712 12$aAnnual International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants$d(12th :$f2013 :$eLondon, England) 801 0$bSOE 801 1$bSOE 801 2$bOCLCO 801 2$bGPO 906 $aBOOK 912 $a9910705261203321 996 $aAnalysis and synthesis of load forecasting data for renewable integration studies$93465915 997 $aUNINA