Titlebook: Computational Science and Technology; 5th ICCST 2018, Kota Rayner Alfred,Yuto Lim,Patricia Anthony Conference proceedings 2019 Springer Nat

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Sustainable Agriculture Reviews 30outcome. Objectives: To find if visualization plays a vital role mobile learning through comparison between three groups that were analysed using SmartPLS 3 using Measurement and Structural Model, Traditional, Mobile and mobile-Augmented Reality (mAR) Groups. The analysed data were collected at five

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Laure Bamière,Valentin Bellassen0. This paper proposes computational optimization analysis for designing the widely used industrial control systems - feedforward and feedback control schemes. Although several different optimal tunings for servo and regulatory control problems exist, their applications often present some challenges

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Sustainable Agriculture Reviewszed requests by user to access a smart system with help of Quick Response (QR) tag. It uses encrypted QR-tag values to compare them to original values. Three-layers have been proposed for this verification procedure to attain security objectives. The first layer implements a comparison to preserve t

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Sustainable Agriculture Reviews of Gauss-Seidel iterative methods to solve the Poisson image blending problem, which are the Full-Sweep Gauss-Seidel (FSGS), Half-Sweep Gauss-Seidel (HSGS) and Quarter-Sweep Gauss-Seidel (QSGS). Second order finite difference approximation is used for the discretization of Poisson equation. Finally

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Sustainable Agriculture Reviews 34per, we present an adaptive model predictive control (MPC) based controller for cyber-physical home systems (CPHS) environment. The adaptive MPC controller is integrated into the existing Energy Efficient Thermal Comfort Control (EETCC) system that was developed specifically for the experimental sma

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Sustainable Agriculture Reviews 35zed into hard and soft constraints where hard constraints must be satisfied while soft constraints are not necessarily to satisfy but be minimized as much as possible in order to produce a good solution. Generally, UMSLIC produces exam timetable without considering soft constraints. Therefore, this