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In the framework of the completion of EMShip (Erasmus Mundus Double Master in Ship Design and Offshore Structures) Program, this master thesis was undertaken at LHEEA (Laboratory in Hydrodynamics, Energetics and Atmospheric Environment), a CNRS/Ecole Centrale Nantes research laboratory.

The purpose of this thesis is the estimation of the non-linearities associated with sea-keeping computation encountered in highly cambered waves. Linear methods like NEMOH developed for small displacements computations do not give good result. To estimate nonlinearity the weakly-nonlinear seakeeping code known as CN-WSC (Weak-Scatterer) was developed. 

To quantify the non-linearities associated with highly cambered waves, a vertical cylinder was taken and it's motion response are calculated with CN-WSC (Weak-Scatterer) and similar calculations are done with linear code NEMOH. The motions calculated with both methods are compared and differences in the motion for highly cambered waves are illustrated as non-linearities were studied.

Nonlinear potential flow solver --- Weakly Scatterer --- Seakeeping of Ships and Offshore structures --- benchmarking --- CN_WSC --- fluid mechanics --- Ingénierie, informatique & technologie > Ingénierie mécanique

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This book is a collection of published articles from the Sensors Special Issue on "Convergence of Intelligent Data Acquisition and Advanced Computing Systems". It includes extended versions of the conference contributions from the 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2019), Metz, France, as well as external contributions.

automotive --- current --- electric power train --- electric vehicle --- embedded systems --- delay --- detection --- distributed systems --- measurements --- power train --- sensor --- signals --- time delay estimation --- unmanned aerial vehicles --- wireless sensor networks --- intelligent data processing --- trajectory planning --- relevant data extraction --- data consensus --- Internet of Things --- precision agriculture --- system identification --- smart building --- artificial neural network --- energy efficiency --- black box modeling --- educational robotics --- data acquisition --- sensors --- ROS --- STEM --- CNN (Convolutional neural networks) --- deep learning --- pavement defects --- residual connection --- attention gate --- atrous spatial pyramid pooling --- intelligent charging --- demand response --- linear programming --- optimization --- smart parking --- smart grid --- ODE Solver --- OpenCL --- Parareal --- parallel/multi-core computing --- sensing systems --- heterogenous embedded systems --- deep sparse auto-encoders --- medical diagnosis --- linear model --- data classification --- PSO algorithm --- safety-related system --- component --- FPGA-designing --- logical and power-oriented checkability --- hidden faults --- clock signal --- consumed and dissipated power --- temperature and current consumption sensors --- n/a

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This book, edited by Prof. Marta Rencz and Prof Andras Poppe, Budapest University of Technology and Economics, and by Prof. Lorenzo Codecasa, Politecnico di Milano, collects fourteen papers carefully selected for the “thermal and electro-thermal system simulation” Special Issue of Energies. These contributions present the latest results in a currently very “hot” topic in electronics: the thermal and electro-thermal simulation of electronic components and systems. Several papers here proposed have turned out to be extended versions of papers presented at THERMINIC 2019, which was one of the 2019 stages of choice for presenting outstanding contributions on thermal and electro-thermal simulation of electronic systems. The papers proposed to the thermal community in this book deal with modeling and simulation of state-of-the-art applications which are highly critical from the thermal point of view, and around which there is great research activity in both industry and academia. In particular, contributions are proposed on the multi-physics simulation of families of electronic packages, multi-physics advanced modeling in power electronics, multiphysics modeling and simulation of LEDs, batteries and other micro and nano-structures.

History of engineering & technology --- lithium-ion battery --- thermal modelling --- electro-thermal model --- heat generation --- experimental validation --- thermal transient testing --- non-destructive testing --- thermal testability --- accuracy repeatability and reproducibility of thermal measurements --- thermal testing standards --- 3D IC --- microchannels --- liquid cooling --- compact thermal model --- thermal simulation --- hotspot --- thermal-aware task scheduling --- DVFS --- statistical analysis --- electronic packages --- detailed thermal model --- Joint Electron Device Engineering Council (JEDEC) metrics --- thermal impedance --- AlGaN-GaN HEMT --- TDTR --- thermal conductivity --- thermal interface resistance --- size effect --- phonon transport mechanisms --- nonlinear thermal model --- SPICE --- pulse transformer --- thermal phenomena --- self-heating --- modelling --- measurements --- BCI-DCTM --- ROM --- modal approach --- BGA --- module temperature --- solar energy --- heat transfer mechanisms --- power LED measurement and simulation --- life testing --- reliability testing --- LM-80 --- TM-21 --- LED lifetime modelling --- LED multi-domain modelling --- Spice-like modelling of LEDs --- lifetime extrapolation and modelling of LEDs --- beyond CMOS --- VO2 --- thermal-electronic circuits --- electro-thermal simulation --- vertical structure --- power LEDs --- thermal pads --- thermal resistance --- optical efficiency --- electronics cooling --- Light-emitting diodes --- CoB LEDs --- multi-domain modeling --- finite volume method --- phosphor modeling --- magnetic nanoparticle --- microfluidics --- CFD --- OpenFOAM --- two-phase solver --- rheology --- LED --- Delphi4LED --- digital twin --- digital luminaire design --- computation time --- Industry 4.0

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This book, edited by Prof. Marta Rencz and Prof Andras Poppe, Budapest University of Technology and Economics, and by Prof. Lorenzo Codecasa, Politecnico di Milano, collects fourteen papers carefully selected for the “thermal and electro-thermal system simulation” Special Issue of Energies. These contributions present the latest results in a currently very “hot” topic in electronics: the thermal and electro-thermal simulation of electronic components and systems. Several papers here proposed have turned out to be extended versions of papers presented at THERMINIC 2019, which was one of the 2019 stages of choice for presenting outstanding contributions on thermal and electro-thermal simulation of electronic systems. The papers proposed to the thermal community in this book deal with modeling and simulation of state-of-the-art applications which are highly critical from the thermal point of view, and around which there is great research activity in both industry and academia. In particular, contributions are proposed on the multi-physics simulation of families of electronic packages, multi-physics advanced modeling in power electronics, multiphysics modeling and simulation of LEDs, batteries and other micro and nano-structures.

History of engineering & technology --- lithium-ion battery --- thermal modelling --- electro-thermal model --- heat generation --- experimental validation --- thermal transient testing --- non-destructive testing --- thermal testability --- accuracy repeatability and reproducibility of thermal measurements --- thermal testing standards --- 3D IC --- microchannels --- liquid cooling --- compact thermal model --- thermal simulation --- hotspot --- thermal-aware task scheduling --- DVFS --- statistical analysis --- electronic packages --- detailed thermal model --- Joint Electron Device Engineering Council (JEDEC) metrics --- thermal impedance --- AlGaN-GaN HEMT --- TDTR --- thermal conductivity --- thermal interface resistance --- size effect --- phonon transport mechanisms --- nonlinear thermal model --- SPICE --- pulse transformer --- thermal phenomena --- self-heating --- modelling --- measurements --- BCI-DCTM --- ROM --- modal approach --- BGA --- module temperature --- solar energy --- heat transfer mechanisms --- power LED measurement and simulation --- life testing --- reliability testing --- LM-80 --- TM-21 --- LED lifetime modelling --- LED multi-domain modelling --- Spice-like modelling of LEDs --- lifetime extrapolation and modelling of LEDs --- beyond CMOS --- VO2 --- thermal-electronic circuits --- electro-thermal simulation --- vertical structure --- power LEDs --- thermal pads --- thermal resistance --- optical efficiency --- electronics cooling --- Light-emitting diodes --- CoB LEDs --- multi-domain modeling --- finite volume method --- phosphor modeling --- magnetic nanoparticle --- microfluidics --- CFD --- OpenFOAM --- two-phase solver --- rheology --- LED --- Delphi4LED --- digital twin --- digital luminaire design --- computation time --- Industry 4.0

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Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.

image dehazing --- traffic video dehazing --- dark channel prior --- spatial-temporal correlation --- contrast enhancement --- traffic signal control --- game theory --- decentralized control --- large-scale network control --- railway intrusion detection --- scene segmentation --- scene recognition --- adaptive feature extractor --- convolutional neural networks --- in-cylinder pressure identification --- speed iteration model --- EKF --- frequency modulation --- amplitude modulation --- sensor synchronization --- microscopic traffic data --- trajectory reconstruction --- expectation maximization --- vehicle matching --- artificial neural networks --- metro --- transportation --- user flow forecast --- matrix inversion --- time-varying matrix --- noise problem in time-varying matrix inversion --- recurrent neural network (RNN) --- RNN-based solver --- real-time fast computing --- real-time estimation --- probe vehicle --- traffic density --- neural network --- level of market penetration rate --- deep neural network --- neural artistic extraction --- objectification --- ride comfort --- subjective evaluation --- road surface recognition --- Gaussian background model --- abnormal road surface --- acceleration sensor --- traffic state prediction --- spatio-temporal traffic modeling --- simulation --- machine learning --- hyper parameter optimization --- ITS --- crash risk modeling --- hazardous materials --- highway safety --- operations research --- prescriptive analytics --- shortest path problem --- trucking --- vehicle routing problem --- data visualization --- descriptive analytics --- predictive analytics --- urban rail transit interior noise --- smartphone sensing --- XGBoost classifier --- railway maintenance --- vehicle trajectory prediction --- license plate data --- trip chain --- turning state transit --- route choice behavior --- real world experiment --- Intelligent Transportation Systems (ITS) --- advanced traveler information systems (ATIS) --- connected vehicles --- particle filter --- Kalman filter --- road safety --- travel time information system --- safety performance function --- bicycle sharing systems --- public transport systems --- data-driven classification of trips --- BSS underlying network --- trip index --- automatic rail-surface-scratch recognition and computation --- triangulation algorithm --- complete closed mesh model --- online rail-repair --- autonomous vehicle --- obstacle avoidance --- artificial potential field --- model predictive control --- human-like --- variable speed limits --- intelligent transportation systems --- ITS services --- driving simulator studies --- traffic modelling --- surrogate safety measures --- driving safety --- driving emotions --- driving stress --- lifestyle --- sensors --- heart rate --- plate scanning --- low-cost sensor --- sensor location problem --- traffic flow estimation --- n/a