LEADER 03462oam 2200445Mu 450 001 9910794188703321 005 20200410010644.0 010 $a1-00-302474-2 010 $a1-000-04503-X 010 $a1-000-04505-6 010 $a1-003-02474-2 035 $a(CKB)4100000010671525 035 $a(MiAaPQ)EBC6135200 035 $a(OCoLC)1145585213 035 $a(OCoLC-P)1145585213 035 $a(FlBoTFG)9781003024743 035 $a(EXLCZ)994100000010671525 100 $a20200321d2020 uy 0 101 0 $aeng 135 $aurcnu---unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aBig Data Analytics and Computing for Digital Forensic Investigations$b[electronic resource] 210 $aMilton $cCRC Press LLC$d2020 215 $a1 online resource (235 pages) $cillustrations 300 $aDescription based upon print version of record. 311 $a0-367-45678-8 330 $aDigital forensics has recently gained a notable development and become the most demanding area in today's information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book isfocused on helpingprofessionals as well as researchers toget ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjectsof theComputer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliatedwith Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain-computer interface, cognition and computational intelligence. 606 $aComputer crimes$xInvestigation 615 0$aComputer crimes$xInvestigation. 676 $a363.25968 701 $aSatpathy$b Suneeta$01489318 701 $aMohanty$b Sachi Nandan$01489319 801 0$bOCoLC-P 801 1$bOCoLC-P 906 $aBOOK 912 $a9910794188703321 996 $aBig Data Analytics and Computing for Digital Forensic Investigations$93709997 997 $aUNINA LEADER 03303nam 2200649Ia 450 001 9910437889503321 005 20200520144314.0 010 $a9781283910590 010 $a1283910594 010 $a9783642334573 010 $a3642334571 024 7 $a10.1007/978-3-642-33457-3 035 $a(CKB)2670000000279817 035 $a(EBL)1082690 035 $a(OCoLC)817225168 035 $a(SSID)ssj0000798865 035 $a(PQKBManifestationID)11438341 035 $a(PQKBTitleCode)TC0000798865 035 $a(PQKBWorkID)10744416 035 $a(PQKB)10787353 035 $a(DE-He213)978-3-642-33457-3 035 $a(MiAaPQ)EBC1082690 035 $a(PPN)168324555 035 $a(EXLCZ)992670000000279817 100 $a20121112d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLimits, modeling and design of high-speed permanent magnet machines /$fAleksandar Borisavljevic 205 $a1st ed. 2013. 210 $aBerlin ;$aNew York $cSpringer$dc2013 215 $a1 online resource (228 p.) 225 0$aSpringer theses 300 $aDescription based upon print version of record. 311 08$a9783642448331 311 08$a364244833X 311 08$a9783642334566 311 08$a3642334563 320 $aIncludes bibliographical references. 327 $aHigh-speed PM machines: applications, trends and limits -- Electromagnetic modeling of slotless PM machines -- Structural aspects of PM rotors -- Rotordynamic aspects of high-speed electrical machines -- Bearings for high-speed machines -- Design of the high-speed-spindle motor -- Control of the synchronous PM motor -- Experimental results. 330 $aThere is a growing number of applications that require fast-rotating machines; motivation for this thesis comes from a project in which downsized spindles for micro-machining have been researched. The thesis focuses on analysis and design of high-speed PM machines and uses a practical design of a high-speed spindle drive as a test case. Phenomena, both mechanical and electromagnetic, that take precedence in high-speed permanent magnet machines are identified and systematized. The thesis identifies inherent speed limits of permanent magnet machines and correlates those limits with the basic parameters of the machines. The analytical expression of the limiting quantities does not only impose solid constraints on the machine design, but also creates the way for design optimization leading to the maximum mechanical and/or electromagnetic utilization of the machine. The models and electric-drive concepts developed in the thesis are evaluated in a practical setup. 410 0$aSpringer Theses, Recognizing Outstanding Ph.D. Research,$x2190-5053 606 $aPermanent magnet motors$xDesign and construction 606 $aPermanent magnet motors 615 0$aPermanent magnet motors$xDesign and construction. 615 0$aPermanent magnet motors. 676 $a621.46 700 $aBorisavljevic$b Aleksandar$01061254 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910437889503321 996 $aLimits, Modeling and Design of High-Speed Permanent Magnet Machines$92518079 997 $aUNINA