FIG. 2.11 GCCs of the base case and optimized case for scenario A. More about this image found in GCCs of the base case and optimized case for scenario A.

FIG. 6.13 Arduino circuitry for use Case 1 experiment. More about this image found in Arduino circuitry for use Case 1 experiment.

FIG. 7.16 A case of adding a MoR in order to attract students' attention. More about this image found in A case of adding a MoR in order to attract students' attention.

FIG. 2.9 Process diagram of the base case of scenario A. More about this image found in Process diagram of the base case of scenario A.

FIG. 2.10 Cold and hot composite curves of the base case for scenario A. More about this image found in Cold and hot composite curves of the base case for scenario A.

FIG. 4.11 Compositions of [(a),(c), and (e)] product gas and [(b),(d), and (f)] exhaust gas in cases I, II, and III are shown in Table 4.1 ( Duraiswamy et al., 2010 ). More about this image found in Compositions of [(a),(c), and (e)] product gas and [(b),(d), and (f)] exhau...

FIG. 6.14 Experimental tests at the University of Jijel (Algeria): (a) Faulty PV modules, (b) the corresponding IR image, (c) embedded program into the Raspberry Pi 4, and (d) displayed results: a case of dust accumulated test. More about this image found in Experimental tests at the University of Jijel (Algeria): (a) Faulty PV modu...

FIG. 8.20 Closed-loop state trajectories under P control with K = −3 with a depolarizing error parameter of 0.05 in the simulations labeled “0.05, Noise” a depolarizing error parameter of 0.005 in the simulations labeled “0.005, Noise,” and a depolarizing error parameter of 0.0005 in the simulations labeled “0.0005, Noise.” 1 shot is used in all cases. More about this image found in Closed-loop state trajectories under P control with K = −3...

FIG. 13.2 (a) Equipment is prepared as a set that can easily be moved from one student to another. For the task under discussion, it consists of two containers with hot and cold water, a stopwatch, a measuring cylinder, two thermometers packed in their cases, and two empty containers. (b) The hot ... More about this image found in (a) Equipment is prepared as a set that can easily be moved from one studen...

FIG. 8.7 Microstructural evolution in a thin film system with isotropic elasticity and two films in the simulation cell; the far-field composition is 0.01. From the top left, the microstructures correspond to (non-dimensional) time units: t = 78 800, t = 84 800, t = 100 800 and t = 251 000, respectively. Note that relatively, the break-up is faster for two films as compared to the case of a single film in the simulation cell. More about this image found in Microstructural evolution in a thin film system with isotropic elasticity a...

FIG. 8.6 Microstructural evolution in a thin film system with isotropic elasticity, the far-field composition is 0.05 leading to growth along with film break-up. From the top left, the microstructures correspond to (non-dimensional) time units: t = 114 600, t = 122 800, t = 133 800 and t = 205 800, respectively. These times indicate that the growth slows down the break-up dynamics compared to the previous case of (near) static break-up. More about this image found in Microstructural evolution in a thin film system with isotropic elasticity, ...

FIG. 8.8 Microstructural evolution in a thin film system with isotropic elasticity and two films in the simulation cell, the far-field composition is 0.05 leading to growth along with film break-up. From top left, the microstructures correspond to (non-dimensional) time units: t = 110 800, t = 122 800, t = 143 400, and t = 270 800, respectively. These times indicate that the growth slows down the break-up dynamics compared to the previous case of (near) static break-up. More about this image found in Microstructural evolution in a thin film system with isotropic elasticity a...

FIG. 8.2 Several studies conducted on student learning have been aimed at establishing how students acquire a quantum view of phenomena using phenomenographic methods (top left) or quantum-classic index (top right). In both types of research, different types of questions are used, sometimes also u... More about this image found in Several studies conducted on student learning have been aimed at establishi...

FIG. 7.2 (a) Single ring add-drop configuration. (b) Through and drop port power spectrum to add drop filter. The power coupling coefficient |κ|² is 20% for critically coupled, 10% for coupled, and 40% for over coupled cases. The absorption coefficient is 3551 m⁻¹. More about this image found in (a) Single ring add-drop configuration. (b) Through and drop port power spe...

FIG. 9.5 Cantilever beam (a) immune to magnetic repulsive force, therefore, linear and (b) subject to magnetic repulsive force; d_L and d_NL represent the displacement of the beam in the linear and nonlinear cases, respectively. Reproduced with permission from Andò et al., J. Micromech. Microeng. 20 (12), 125020 ( 2010 ). Copyright 2010 IOP. More about this image found in Cantilever beam (a) immune to magnetic repulsive force, therefore, linear a...

FIG. 7.1 The two simplest ring resonator configurations is a ring resonator shown in (a), giving a spectrum shown in (b), which looks like a notch filter response when the ring has finite loss. The power coupling coefficient |κ|² is 20% for critically coupled, 10% for coupled, and 40% for over coupled cases. The absorption coefficient is 3551 m⁻¹. More about this image found in The two simplest ring resonator configurations is a ring resonator shown in...