The demand of self-testing proportionally increases with Memory size in System on Chip (SoC). SoC architecture normally occupies the majority of its area by memories. Due to increase in density of Embedded memories, there is a need of self-testing mechanism in SoC design. Therefore, this research study focuses on this problem and introduces a smooth solution for self-testing. In the proposed Memory test algorithm, the self-testing as well as self-repair mechanisms are incorporated. This scheme repairs the detected faults and is easily integrated with SoC design. Here, an attempt has been made to implement the Memory built-in-self-repair (MBISR) architecture to test and repair the faults from the Embedded memories. It is little, and it supports at-fast test without timing penalty during its operation. The proposed method is a better alternative in speed and low area overhead. Thus, it plays a significant role in yield improvement.

Embedded processors are now widely used in system-on-chips. The computational power of such processors and their ease of access to/from other Embedded cores can be utilized to test SoCs (System-on-Chips). The first step, naturally, is to test the processor it self and its Memory partner, as all other SoC test activities require both. In this paper, efficient test architecture is presented to achieve high quality testing of Embedded processor and Memory cores. Especially, in testing the Memory core, a test algorithm is presented for bit-oriented memories and its enhanced version for word-oriented memories. The method requires slow overhead but provides significant flexibility in terms of fault model, test mechanism and future reuse.

There are two approaches for simulating Memory as well as learning in artificial intelligence; the functionalistic approach and the cognitive approach. The necessary condition to put the second approach into account is to provide a model of brain activity that contains a quite good congruence with observational facts such as mistakes and forgotten experiences. Given that human Memory has a solid core that includes the components of our identity, our family and our hometown, the major and determinative events of our lives, and the countless repeated and accepted facts of our culture, the more we go to the peripheral spots the data becomes flimsier and more easily exposed to oblivion. It was essential to propose a model in which the topographical differences are quite distinguishable. In our proposed model, we have translated this topographical situation into quantities, which are attributed to the nodes. The result is an edge-weighted graph with mass-based values on the nodes which demonstrates the importance of each atomic proposition, as a truth, for an intelligent being. Furthermore, it dynamically develops and modifies, and in successive phases, it changes the mass of the nodes and weight of the edges depending on gathered inputs from the environment.

In this study, free vibration analysis of laminated composite skew plates with Embedded shape Memory alloys under thermal loads is presented. The plates are assumed to be made of NiTi/Graphite/ Epoxy with temperature- dependent properties. The thermo- mechanical behavior of shape Memory alloy wires is predicted by employing one-dimensional Brinson’s model. The governing equations are derived based on first- order shear deformation theory and solved using generalized differential quadrature technique as an efficient and accurate numerical tool. Some examples are provided to show the accuracy and efficiency of the applied numerical method by comparing the present results with those available in the literature. A parametric study is carried out to demonstrate the influence of skew angle, pre- strain and volume fraction of shape Memory alloys, temperature, and stacking sequence of layers on the natural frequencies of the structure. Results represent that shape Memory alloys can change the vibrational characteristics of shape Memory alloy hybrid composite skew plates by a considerable amount. The numerical results also reveal that the effect of shape Memory alloy wires on natural frequencies of composite plates with simply supported boundaries is higher than those with clamped boundaries.

Effects of Embedded Shape Memory Alloys (SMA) on free vibrations of sandwich-composite panels with a flexible core are investigated. Embedded SMA Wires, according to the characteristics of these alloys, can be effective on frequency and vibration’s behavior of these structures. At this study, the SMA wires (NiTiNol) are symmetrically Embedded at mid-plan of top and bottom faces which is composite multilayer. For investigation of the effects of various parameters of this wires on natural frequency and shape mode, at the face plates the first order shear deformation theory (FSDT) and for flexible midcore the Improved high-order theory of sandwich plates (IHSPT) are used so that inertia effects of middle core and face plates are fully considered. Equations for simple boundary conditions, is obtained analytically using Hamilton's principle. Recovery stresses generated by the excitation of built-in SMA wires, is assumed as the work of external forces. Result partial differential equations (PDE) by applying the Galerkin method simple and dissolved.

The purpose of this study is controlling the forced vibration of a layered composite cantilever plate Embedded with shape Memory alloys wires using classical and fuzzy controllers. The governing equations of motion of the composite plate including shape Memory alloy wires are calculated using the classical laminated plate theory and the Hamilton principle. The Liang formula is also used to model the thermo-mechanical behavior of the shape Memory alloys wire actuators. Then, the free vibration solution for the layered composite plate is calculated using semi-analytical Rayleigh-Ritz method and then is compared with experimental method. Comparison between the obtained natural frequencies of the composite plate and those of published experimental results confirms the accuracy of the purposed modeling and solution. Finally, three controlling system are designed to reduce the amplitude of vibrational displacement of the structure against forced vibrational excitations including PID controller, Fuzzy controller and PID-Fuzzy controller. Finally, the genetic algorithm is used to optimize the gain coefficients of the classic controller and the rules and parameters of the fuzzy controller to reduce the vibrational displacement amplitude of the plate. The obtained results show that the all designed controllers can reduce the steady-state vibrational displacement amplitude of the plate significantly, but the PID-Fuzzy controller has the best performance.

In the present article, the dynamic behavior of sandwich plates with Embedded shape Memory alloy (SMA) wires is evaluated for two cases wherein (i) the stress-strain curve of the superelastic behavior of the SMA wires is symmetric and (ii) the mentioned curve is non-symmetric. A modified version of Brinson’ s constitutive model is proposed and used. The high non-linearity in the behavior stems from the SMA wires Embedded in the sandwich plate. In this regard, in addition to the proposed advanced algorithm for the determination of the martensite volume fraction, a Picard iterative solution algorithm is used in conjunction with Newmark’ s numerical time integration method for solving the resulting finite element equations. To improve the accuracy of the results, the variation of martensite volume fraction and material properties of individual points of the structure are updated continuously. Therefore, the kinetic equations of the phase transformation of the SMA are coupled with the motion equations, to accurately model the nonlinear behavior of the sandwich plate. For analysis of the thick sandwich plate, a higher-order global-local theory with novel 3D-equilibrium-based corrections is utilized. One of the features of this theory is the estimation capability of the nonlinear in-plane displacement components, and precise assessment of the transverse shear stresses through satisfying the continuity conditions of the shear stresses at the interfaces between layers. Another advantage of the proposed theory in comparison with the conventional approaches is the ability to simulate changes in the core thickness. This is especially important in cases where the core is relatively thick or soft.