LEADER 03486nam 22006375 450 001 9910624376303321 005 20251113181305.0 010 $a9783031115066 010 $a3031115066 024 7 $a10.1007/978-3-031-11506-6 035 $a(MiAaPQ)EBC7127029 035 $a(Au-PeEL)EBL7127029 035 $a(CKB)25208260700041 035 $a(PPN)265862434 035 $a(OCoLC)1349310535 035 $a(DE-He213)978-3-031-11506-6 035 $a(EXLCZ)9925208260700041 100 $a20221027d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNear-sensor and In-sensor Computing /$fedited by Yang Chai, Fuyou Liao 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (237 pages) 225 1 $aComputer Science Series 311 08$aPrint version: Chai, Yang Near-Sensor and in-sensor Computing Cham : Springer International Publishing AG,c2022 9783031115059 320 $aIncludes bibliographical references and index. 327 $aIntroduction (Fundamentals of near-/in-sensor computing) -- Neuromorphic vision sensors I -- Neuromorphic vision sensors ? -- Neuromorphic audio sensors -- Neuromorphic pressure sensors -- Neuromorphic chemical sensors -- Reconfigurable neural networks -- Convolutional neural networks -- Spike neural networks -- Integration technology of near-/in-sensor computing. 330 $aThis book provides a detailed introduction to near-sensor and in-sensor computing paradigms, their working mechanisms, development trends and future directions. The authors also provide a comprehensive review of current progress in this area, analyze existing challenges in the field, and offer possible solutions. Readers will benefit from the discussion of computing approaches that intervene in the vicinity of or inside sensory networks to help process data more efficiently, decreasing power consumption and reducing the transfer of redundant data between sensing and processing units. Provides readers with a detailed introduction to the near-sensor and in-sensor computing paradigms; Includes in-depth and comprehensive summaries of the state-of-the-art development in this field; Discusses and compares various neuromorphic sensors and neural networks: Describes integration technology for near-/in-sensor computing; Reveals the relationship between near-/in-sensor computing and other computing paradigms, such as neuromorphic computing, edge computing, intuitive computing, and in-memory computing. 410 0$aComputer Science Series 606 $aElectronic circuits 606 $aCooperating objects (Computer systems) 606 $aSolid state physics 606 $aElectronic Circuits and Systems 606 $aCyber-Physical Systems 606 $aElectronic Devices 615 0$aElectronic circuits. 615 0$aCooperating objects (Computer systems) 615 0$aSolid state physics. 615 14$aElectronic Circuits and Systems. 615 24$aCyber-Physical Systems. 615 24$aElectronic Devices. 676 $a006.22 676 $a006.22 702 $aChai$b Yang 702 $aLiao$b Fuyou 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910624376303321 996 $aNear-sensor and in-sensor computing$93070210 997 $aUNINA