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Since the late 1940s, linear programming models have been used for many different purposes. Airline companies apply these models to optimize their use of planes and staff. NASA has been using them for many years to optimize their use of limited resources. Oil companies use them to optimize their refinery operations. Small and medium-sized businesses use linear programming to solve a huge variety of problems, often involving resource allocation. In my study, a typical product-mix problem in a manufacturing system producing two products (each product consists of two sub-assemblies) is solved for its optimal solution through the use of the latest versions of MATLAB having the command simlp, which is very much like linprog. As analysts, we try to find a good enough solution for the decision maker to make a final decision. Our attempt is to give the mathematical description of the product-mix optimization problem and bring the problem into a form ready to call MATLAB's simlp command. The objective of this study is to find the best product mix that maximizes profit. The graph obtained using MATLAB commands, give the shaded area enclosed by the constraints called the feasible region, which is the set of points satisfying all the constraints. To find the optimal solution we look at the lines of equal profit to find the corner of the feasible region which yield the highest profit. This corner can be found out at the farthest line of equal profit, which still touches the feasible region. The most critical part is the sensitivity analysis, using Excel Solver, and Parametric Analysis, using computer software, which allows us to study the effect on optimal solution due to discrete and continuous change in parameters of the LP model including to identify bottlenecks. We have examined other options like product outsourcing, one-time cost, cross training of one operator, manufacturing of hypothetical third product on under-utilized machines and optimal sequencing of jobs on machines.

Resource allocation --- Linear programming --- Production scheduling --- Programming (Mathematics) --- Allocation of resources --- Resources allocation --- Economics --- Management --- Operations research --- Organization --- Planning --- Feasibility studies --- MATLAB. --- Microsoft Excel Solver (Computer program) --- MATLAB (Computer program) --- Matrix laboratory --- E-books --- MATLAB (Computer file)

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Fluid interfaces are promising candidates for confining different types of materials - e.g., polymers, surfactants, colloids, and even small molecules - and for designing new functional materials with reduced dimensionality. The development of such materials requires a deepening of the Physico-chemical bases underlying the formation of layers at fluid interfaces, as well as on the characterization of their structures and properties. This is of particular importance because the constraints associated with the assembly of materials at the interface lead to the emergence of equilibrium and dynamics features in the interfacial systems, which are far from those conventionally found in the traditional materials. This Special Issue is devoted to studies on fundamental and applied aspects of fluid interfaces, trying to provide a comprehensive perspective on the current status of the research field.

thermal radiations --- magnetic field --- Carreau fluid --- stretching/shrinking surface --- Hall effect --- nonlinear radiations --- HAM --- desulfurization wastewater evaporation technology --- evaporation performance --- orthogonal test --- simulation --- spray coating --- coating film formation --- leveling of coating surface --- fluorescence method --- visualization --- ferromagnetic --- nanofluid --- bioconvection --- porous medium --- heat suction/injection --- magnetic dipole --- liquid-infused surfaces --- durability --- lubricants --- wetting --- liquid-repellent coatings --- annealed Co40Fe40W20 thin films --- magnetic tunnel junctions (MTJs) --- X-ray diffraction (XRD) --- contact angle --- surface energy --- nanomechanical properties --- Prandtl nanofluid flow --- convectively heated surface --- stochastic intelligent technique --- Levenberg Marquardt method --- backpropagated network --- artificial neural network --- Adam numerical solver --- surface hydrophilicity --- graphene --- ice formation --- clearance --- molecular dynamic simulation --- dynamics --- fluid interfaces --- inhalation --- lung surfactant --- nanoparticles --- pollutants --- rheology --- emulsion --- droplet size --- microscopy-assisted --- image analysis --- laser diffraction --- turbidity --- viscosity --- Ree-Eyring nanofluid --- viscous dissipation --- Cattaneo-Christov model --- Koo-Kleinstreuer model --- chemical reaction --- heat transfer --- stretching cylinder --- nonlinear radiation --- Powell–Eyring --- Darcy–Forchheimer --- n/a --- Powell-Eyring --- Darcy-Forchheimer

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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.

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