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020 _a9783030970048
024 7 _a10.1007/978-3-030-97004-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK145
_b2022 EB
245 0 0 _aSmart Electromechanical Systems :
_bRecognition, Identification, Modeling, Measurement Systems, Sensors
_cedited by Andrey E. Gorodetskiy, Irina L. Tarasova
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (IX, 275 páginas)
_b122 ilustraciones, 82 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4190
_v419
505 0 _aIdentification of SEMS frequency characteristics using basic functions -- Analysis of Relationships between Problems of Finding "Interesting" Consequences and Constraints Satisfaction for SEMS Knowledge Bases in the Framework of N-tuple Algebra -- Extended Object Detection: flexible object description system for detection in robotic tasks -- Analysis of energy and noise components of the automatic optoelectronic drone detection system -- Self-Moving Parallel Speleological Robot with Spatial Tactile System of Recognition Contact Surface -- Computer modeling of systems of Logical-Probabilistic Classification of objects in the environment of choice -- Modeling of systems of Logical-Linguistic Classification of images -- Assessment of UAV Intelligence Based on the Results of Computer Modeling -- Assessment of group intelligence SEMS.
520 _aThis book presents the latest achievements in the field of theory and practice of information processing in the CNS SEMS. Recently, the task of integrating computer technologies, transmitting and storing information, monitoring and controlling objects of the physical world has become urgent. This capability is provided by Smart Electromechanical Systems (SEMS) used in Cyber-Physical Systems (CPhS). The main tasks in the field of theory and practice of SEMS are to ensure the efficiency, reliability and safety of functioning in real time. The task of obtaining reliable information about the selection environment, as well as object recognition and identification, is especially important when several SEMS interact in a group. Since in this case, it is necessary to ensure the safety and speed of the planned behavior of all members of the group. The purpose of the publication is to familiarize with the latest achievements of scientists of the Russian Academy of Sciences and leading universities of Russia in the field of theory and practice of information processing in the CNS of EMS, as well as to familiarize with the development of methods and algorithms for recognition, identification and modeling based on the principles of bionics, adaptivity, intelligence and parallelism in information processing and computing. Topics of primary interest include, but are not limited to the following: Methods and systems of recognition and identification; Mathematical and computer modeling; Measurement systems to identify the simulation of the selection environment; Sensors and auxiliary SEMS systems. This book is intended for students, scientists and engineers specializing in smart electromechanical systems and robotics.
988 _aSpringer_Robotics_2022
650 7 _2embne
_9496877
_aMecatrónica
650 7 _2embne
_9153705
_aComponentes electrónicos
650 7 _2embne
_9168743
_aControl automático
_xAparatos e instrumentos
700 1 _aGorodetskiy, Andrey E
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aTarasova, Irina L
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030970031
776 0 8 _iPrinted edition:
_z9783030970055
776 0 8 _iPrinted edition:
_z9783030970062
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-97004-8
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b02/2022
_dz
_esc
_zSI