Large-scale multi-user multiple-input multipleoutput (MIMO) techniques have the potential to bring tremendous improvements for future communication systems. Counterintuitively, the practical issues of having uncertain channel knowledge, high propagation losses, and implementing optimal non-linear precoding are solved more-or-less automatically by enlarging system dimensions. The computational p...

This thesis presents four different techniques for improving the average-case performance of deterministic sequential circuit Automatic Test Patterns Generators (ATPG). Three techniques make use of information gathered during test generation to help identify more unjustifiable states with higher percentage of “don’t care” value. An approach for reducing the search space of the ATPG was introduc...

a microporous bisphenol a diglycidyl ether (dgeba) epoxified-polyethersulfone (pes) blend membrane (epes membrane) was prepared through dry-wet phase inversion. this study attempts to correlate the changes in membrane physical and chemical properties when the epes membranes were exposed to different durations of dry-phase inversion, towards the separation efficiency of carcinogen chromium (vi)....

In real world scheduling applications, machines might not be available during certain time periods due to deterministic or stochastic causes. In this article, the machine scheduling with availability constraints for both deterministic and stochastic cases with different environments, constraints and performance measures will be discussed. The existing body of research work in the literature wil...

Geosteering of wells requires fast interpretation geophysical logs, which is a non-unique inverse problem. Current work presents proof-of-concept approach to multi-modal probabilistic inversion logs using single evaluation an artificial deep neural network (DNN). A mixture density DNN (MDN) trained the "multiple-trajectory-prediction" (MTP) loss functions, avoids mode collapse typical for tradi...

Recent results show that features of adversarially trained networks for classification, in addition to being robust, enable desirable properties such as invertibility. The latter property may seem counter-intuitive it is widely accepted by the community classification models should only capture minimal information (features) required task. Motivated this discrepancy, we investigate dual relatio...

in this paper, firstly by using a mixed linear programming a new model of locating facilities with limited capacity is presented to design a closed-loop supply chain in a multi-product and multi-period mode. then, using a robust optimization approach, the proposed model decreases in non-deterministic expansion. the results show that the proposed model can handle facility capacity in a closed lo...

a method is described by which it is possible to determine the high barrier to ring inversion and hindered rotation by neat racemization of optically active compounds when the racemization is caused by ring inversion or hindered rotation. the method is based preparation of sufficiently pure enantiomers, mainly by chromatography on swollen microcrystalline triacetylcellulose (tac). by this techn...

uterine inversion is shortly described as the indentation and depression of the fundic area extending downwards up to the different levels of the birth canal till vaginal opening. clinical diagnosis of uterine inversion is difficult due to its non-specific symptoms and physical examination. ultrasonography is the most practical modality for radiological evaluation, but it is inadequate to deter...

In this current study a generalized super-efficiency model is first proposed for ranking extreme efficient decision making units (DMUs) in stochastic data envelopment analysis (DEA) and then, a deterministic (crisp) equivalent form of the stochastic generalized super-efficiency model is presented. It is shown that this deterministic model can be converted to a quadratic programming model. So fa...