This manuscript presents a non-iterative heat transfer model for predicting the three-dimensional temperature field in a multi-die 3D IC.
The method achieves equipotentiality of conducting surfaces by iterative non-local charge transfer.
Very good agreement is found between the proposed and exact (from other iterative methods) eigenvalues and transfer functions for a wide range of viscoelastic materials.
Consistency between the decomposed problems is achieved with an iterative coordination procedure which transfers anticipated information from the base level to improve the top level decisions.
Following the same idea of the EXIT chart and the MSE transfer chart for iterative channel decoding, we use the MSE transfer chart to evaluate the performance of BP-based sequential channel decoding and state estimation over mutiple time slots.
Fig. 24 MSE-based transfer chart for iterative channel decoding and system state estimation with different (text {MMSE}_{text {ap}}^{t-1,x}) and (frac {E_{b}}{N_{0}})=5 dB.
Fig. 24 MSE-based transfer chart for iterative channel decoding and system state estimation with different (text {MMSE}_{text {ap}}^{t-1,x}) and (frac {E_{b}}{N_{0}})=5 dB 2.
Finally, a brief conclusion is given in Section 7. In this section, we review the concept of the EXIT chart and the MSE transfer chart by iterative decoding the output of a serially concatenated encoder.
Based on a heat and mass transfer analogy, an iterative condensation model for steam condensation in the presence of a non-condensable gas in a vertical tube is proposed including the high mass transfer effect, entrance effect, and interfacial waviness effect on condensation.
This novel workshop format can be used in other fora to effectively connect decision makers and scientists, and to initiate an iterative process to generate and transfer policy relevant scientific information into evidence-based decisions, an important element in protecting coastal and marine resources.
