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 m...

The fluid flow and heat transfer in a three-dimensional microchannel filled with Al2O3- water nanofluid is numerically investigated. The hybrid scheme is used to discretize the convection terms and SIMPLER algorithm is adopted to couple the velocity and pressure field in the momentum equations. The thermal and flow fields were analyzed using different volume fractions of n...

This paper considers a closed-loop supply chain (CLSC) consisting of manufacturer and retailer based on different corporate social responsibility (CSR) behaviors. In addition, the advertising investment government’s reward-penalty mechanism (RPM) are also taken in account. To explore impact CSR behaviors chain, we developed three models: (1) Only undertakes (model M); (2) only R); (3) share MR)...

There are effective numerical methods for the analysis of Markov reward models (MRMs) without or with complete reward loss, but the analysis of MRMs with partial reward loss is more complex. This paper presents the analytical description of the distribution and the moments of the accumulated reward of partial increment loss reward models and an effective numerical method to evaluate these measu...

We introduce various methods that combine forecasts using constrained optimization with penalty. A non-negativity constraint is imposed on the weights, and several penalties are considered, taking form of a divergence from reference combination scheme. In contrast most existing approaches, our framework performs forecast selection in one step, allowing for potentially sparse combining schemes. ...

We present existence and stability results for periodic solutions of quasilinear parabolic equation related to Leray-Lions’s type operators. To prove existence and localization, we use the penalty method; while for stability we use an approximation scheme.

We present a structured algorithm for solving constrained nonlinear least squares problems, and establish its local two-step Q-superlinear convergence. The approach is based on an adaptive structured scheme due to Mahdavi-Amiri and Bartels of the exact penalty method of Coleman and Conn for nonlinearly constrained optimization problems. The structured adaptation also makes use of the ideas of N...