The tunable terahertz intersubband Landau level transitions in resonant tunneling cascade quantum well structures are considered. The way of lifting the selection rule forbidding the inter-Landau level terahertz transitions of interest by applying a magnetic field tilted with respect to the structure layers is proposed. The importance of asymmetric structure design to achieve considerable value...

This paper presented multi-objective optimization of tip tracking control for non-collocated flexible beam. The desired trajectory is specified at the tip displacement of the flexible structure, which undergoes translation base motion actuated by a linear motor. The system model is first formulated from modal truncation approach for the flexible structure representing a single Cartesian robot m...

Today’s companies are increasingly being challenged to develop platform-based product families to increase variety of products, while keeping production costs low. In order to provide effective platform-based method and systematically analyzing the customer needs on product design, the functional requirements are classified into basic functional requirements, expectable functional requirements ...

By developing the terahertz (THz) technology, in addition to generators and detectors of THz waves, the existence of some tools such as modulators and filters are needed. THz filters are important tools for various applications in the field of chemical and biological sensors. Linear and nonlinear optical properties of the graphene have attracted lots of attention. In fact graphene exhibits vari...

Imposing structure on the Smith form of an (integer) periodicity matrix N = U V leads to e cient m-D DFT implementations. For resampling matrices, i.e. non-singular rational matrices, we introduce Smith form decomposition algorithms to generate matrices whose diagonal elements exhibit minimum variance and U matrices with minimum norm. Such structure simpli es non-uniform m-D lter bank design.

Face recognition has been widely studied due to its importance in various applications. However, the case that both training images and testing images are corrupted is not well addressed. Motivated by the success of low-rank matrix recovery, we propose a novel semisupervised low-rank matrix recovery algorithm for robust face recognition. The proposed method can learn robust discriminative repre...

For over a decade our group has been designing, preparing and evaluating bioactive, remineralizing composites based on amorphous calcium phosphate (ACP) fillers embedded in polymerized methacrylate resin matrices. In these studies a major focus has been on exploring structure-property relationships of the matrix phase of these composites on their anti-cariogenic potential. The main challenges w...

The following review discusses the successful application of X-ray, NMR, and molecular modeling in the design of potent and selective inhibitors of matrix metalloproteinases (MMPs) and TNFalpha-converting enzyme (TACE) from Wyeth. The importance of protein and ligand mobility as it impacts structure-based design is also discussed. The MMPs are an active target for a variety of diseases, includi...

Optimal design for the joint estimation of the mean and covariance matrix of the random effects in hierarchical linear models is discussed. A criterion is derived under a Bayesian formulation which requires the integration over the prior distribution of the covariance matrix of the random effects. A theoretical optimal design structure is obtained for the situation of independent and homoscedas...