We study an iterative beam search algorithm for the permutation flowshop (makespan and flowtime minimization). This combines branching strategies inspired by recent branch-and-bounds a guidance strategy LR heuristic. It obtains competitive results on large instances compared to state-of-the-art algorithms, reports many new-best-so-far solutions VFR benchmark minimization) Taillard (flowtime wit...

This study was performed to investigate the iterative reconstruction of a segment of a long object using cone-beam projections acquired with a practical-size detector. This reconstruction problem is commonly called the cone-beam long object problem. The cone-beam focal-point trajectories studied were either helical or helical with planar arcs. We assume that the long object is confined in a tal...

Intelligent reflecting surface (IRS) offers a cost-effective solution to link blockage problem in mmWave communications, and the prerequisite of which is accurate estimation (1) optimal beams for base station/access point (BS/AP) mobile terminal (MT), (2) reflection patterns IRSs, (3) blockage. In this paper, we carry out beam training designs IRSs assisted communications estimate aforementione...

the price of single point diamond tools with a sharp tip is very high due to complex machining process and highly expensive machining equipments. yet, the performance is not quite satisfactory. in this paper, we have presented a very simple and cost effective machining process for the sharpening and polishing of diamond stylus using low energy reactive ion beam machining (ribm). in our method, ...

Laser forming is a modern process which is mainly used for forming metals. Different Lasers are used in this regard that includes Nd: YAG and CO2. In this study, forming bi-layer sheets of Aluminum/Ceramic by Laser was investigated. Furthermore, effect of Uniform and Gaussian heat flux distribution in different power, velocity, and beam diameters on bending angle was studied. FEM simulation ind...

1.1 Introduction : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 4 1.2 Iterative …ltering as regularization : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : : 5 1.2.1 Spectral decomposition of the operator : : : : : : : : : : : : : : : : : : : : : : : : : : : 6 1.2.2 Non-local transform do...

As we aim at alleviating the curse of high-dimensionality, subspace learning is becoming more popular. Existing approaches use either information about global or local structure of the data, and few studies simultaneously focus on global and local structures as the both of them contain important information. In this paper, we propose a global and local structure preserving sparse subspace learn...