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In today’s surveillance systems, a multitude of sensors are used. Thus, the data volume is clearly increasing and the human decision maker has to be supported in analyzing this data in an intelligent way. This contribution deals with the process of situation assessment, which is analyzing real-time data with respect to pre-modeled situations of interest with a dynamic Bayesian network. The quality of the recognition is evaluated with a maritime dataset.

data fusion --- dynamic Bayesian networks --- SituationsbewusstseinSituation assessment --- maritime surveillance --- maritime Überwachung --- Situationsanalyse --- Datenfusion --- situation awareness --- dynamische Bayes’sche Netze

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Recent advancements in mechanical engineering are an essential topic for discussion. The topics relating to mechanical engineering include the following: measurements of signals of shafts, springs, belts, bearings, gears, rotors, machine elements, vibration analysis, acoustic analysis, fault diagnosis, construction, analysis of machine operation, analysis of smart-material systems, integrated systems, stresses, analysis of deformations, analysis of mechanical properties, signal processing of mechanical systems, and rotor dynamics. Mechanical engineering deals with solid and fluid mechanics, rotation, movements, materials, and thermodynamics. This book, with 15 published articles, presents the topic “Symmetry in Mechanical Engineering”. The presented topic is interesting. It is categorized into eight different sections: Deformation; Stresses; Mechanical properties; Tribology; Thermodynamic; Measurement; Fault diagnosis; Machine. The development of techniques and methods related to mechanical engineering is growing every month. The described articles have made a contribution to mechanical engineering. The proposed research can find applications in factories, oil refineries, and mines. It is essential to develop new improved methods, techniques, and devices related to mechanical engineering.

History of engineering & technology --- traveling waves --- vibration stability --- self-excited vibration --- thin spur gear --- variational mode decomposition --- signal analysis --- time-frequency analysis --- center frequency method of double thresholds --- Hilbert transform --- finite-time control --- terminal sliding mode --- chattering --- neural network --- thin-walled structures --- higher-order deformation modes --- identification --- doubly symmetric cross-sections --- shell-like deformation --- dual mass flywheel --- absolute sensitivity --- relative sensitivity --- torsional vibration --- spring --- Dempster’s rule --- evidence distance --- pattern recognition --- maritime surveillance --- customer needs --- bad parameters --- core problems --- design process --- conceptual design --- time-varying P-type IL method --- MFA control --- imprecise probability --- active control --- piezoelectric cantilever plate --- image processing --- particle --- distribution --- rolling bearings --- Fault diagnosis --- second-order tristable stochastic resonance --- seeker optimization algorithm --- output signal-to-noise ratio --- global optimization --- meta-heuristic --- butterfly optimization algorithm --- cross-entropy method --- engineering design problems --- grinding --- rheology --- breakage parameters --- relative viscosity --- tool wear state --- CNN --- BiLSTM --- attention mechanism --- signal features --- vibrations --- symmetries --- two-engine vehicle --- rear clutch --- front clutch --- vibration modes --- granulation --- on-line monitoring --- fertilizers --- parallel robot --- minimally invasive procedures --- algebraic modeling --- Study parameters --- fractional damping --- vibration --- dynamic behaviour --- hybrid mechanism --- helicopter --- abrasive belt grinding --- predictive model --- regression --- material removal --- electric vehicles --- PMSM --- auxiliary slot --- response surface methodology --- n/a --- Dempster's rule

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Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices

microelectromechanical systems --- inertial measurement unit --- long short term memory recurrent neural networks --- artificial intelligence --- deep learning --- CNN --- LSTM --- CO2 welding --- molten pool --- online monitoring --- mechanical sensor --- self-adaptiveness --- ankle-foot exoskeleton --- walking assistance --- visual tracking --- correlation filter --- color histogram --- adaptive hedge algorithm --- scenario generation --- autonomous vehicle --- smart sensor and device --- wireless sensor networks --- task assignment --- distributed --- reliable --- energy-efficient --- audification --- sensor --- visualization --- speech to text --- text to speech --- HF-OTH radar --- AIS --- radar tracking --- data fusion --- fuzzy functional dependencies --- maritime surveillance --- surgical robot end-effector --- clamping force estimation --- joint torque disturbance observer --- PSO-BPNN --- cable tension measurement --- queue length --- roadside sensor --- vehicle detection --- adverse weather --- roadside LiDAR --- data processing --- air pollution --- atmospheric data --- IoT --- machine learning --- RNN --- Sensors --- smart cities --- traffic flow --- traffic forecasting --- wireless sensor network --- fruit condition monitoring --- artificial neural network --- ethylene gas --- banana ripening --- unidimensional ACGAN --- signal recognition --- data augmentation --- link establishment behaviors --- DenseNet --- short-wave radio station --- landing gear --- adaptive landing --- vehicle classification --- FBG --- smart sensors --- outlier detection --- local outlier factor --- data streams --- air quality monitoring --- n/a --- evacuation path --- multi-story multi-exit building --- temperature sensors --- multi-time-slots planning --- optimization

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Recent advancements in mechanical engineering are an essential topic for discussion. The topics relating to mechanical engineering include the following: measurements of signals of shafts, springs, belts, bearings, gears, rotors, machine elements, vibration analysis, acoustic analysis, fault diagnosis, construction, analysis of machine operation, analysis of smart-material systems, integrated systems, stresses, analysis of deformations, analysis of mechanical properties, signal processing of mechanical systems, and rotor dynamics. Mechanical engineering deals with solid and fluid mechanics, rotation, movements, materials, and thermodynamics. This book, with 15 published articles, presents the topic “Symmetry in Mechanical Engineering”. The presented topic is interesting. It is categorized into eight different sections: Deformation; Stresses; Mechanical properties; Tribology; Thermodynamic; Measurement; Fault diagnosis; Machine. The development of techniques and methods related to mechanical engineering is growing every month. The described articles have made a contribution to mechanical engineering. The proposed research can find applications in factories, oil refineries, and mines. It is essential to develop new improved methods, techniques, and devices related to mechanical engineering.

History of engineering & technology --- traveling waves --- vibration stability --- self-excited vibration --- thin spur gear --- variational mode decomposition --- signal analysis --- time-frequency analysis --- center frequency method of double thresholds --- Hilbert transform --- finite-time control --- terminal sliding mode --- chattering --- neural network --- thin-walled structures --- higher-order deformation modes --- identification --- doubly symmetric cross-sections --- shell-like deformation --- dual mass flywheel --- absolute sensitivity --- relative sensitivity --- torsional vibration --- spring --- Dempster's rule --- evidence distance --- pattern recognition --- maritime surveillance --- customer needs --- bad parameters --- core problems --- design process --- conceptual design --- time-varying P-type IL method --- MFA control --- imprecise probability --- active control --- piezoelectric cantilever plate --- image processing --- particle --- distribution --- rolling bearings --- Fault diagnosis --- second-order tristable stochastic resonance --- seeker optimization algorithm --- output signal-to-noise ratio --- global optimization --- meta-heuristic --- butterfly optimization algorithm --- cross-entropy method --- engineering design problems --- grinding --- rheology --- breakage parameters --- relative viscosity --- tool wear state --- CNN --- BiLSTM --- attention mechanism --- signal features --- vibrations --- symmetries --- two-engine vehicle --- rear clutch --- front clutch --- vibration modes --- granulation --- on-line monitoring --- fertilizers --- parallel robot --- minimally invasive procedures --- algebraic modeling --- Study parameters --- fractional damping --- vibration --- dynamic behaviour --- hybrid mechanism --- helicopter --- abrasive belt grinding --- predictive model --- regression --- material removal --- electric vehicles --- PMSM --- auxiliary slot --- response surface methodology