The use of almond-shell biomass ash (ABA) as an alternative component to the commercial reagents used in activation blast furnace slag (BFS) systems is investigated. presence its chemical composition a high content K2O indicates that it can alkalinize medium. 100% waste-based mixtures ABA/BFS were studied by micro- and macrostructural tests. A compressive strength 44 MPa was achieved mortar wit...

Background and Aim: This study evaluated the effect of hydrothermal aging on opti-cal and mechanical properties of opaque and translucent zirconia. Materials and Methods: For the biaxial flexural strength (BFS) test, 40 sintered opaque and translucent disc-shaped zirconia, and for the assessment of surface rough-ness and optical properties, 20 specimens were fabricated and artificially aged in...

In the present study, a hybrid Eulerian-Lagrangian methodology is utilized for large eddy simulation (LES) of premixed fuel/air flow over a three-dimensional backward facing step (BFS). The fluid dynamic features are obtained by solving the Eulerian filtered compressible transport equations while the species are predicted by using the filtered mass density function method (FMDF).  Some scalar f...

The Butterfly Flower Shower (BFS) Human Behaviour Model describes human behaviour in each demanding, possible accidental situation. The BFS human behaviour model is presented for a traffic situation. The key elements (perception, cognition, reaction) of the human behaviour are identified. Also possible limitations and errors in all elements of human behaviour are presented. The model is present...

In this paper, the mechanical properties (the flexural strength, compressive strength and drying shrinkage rate) of CO2-cured alkali-activated compound mineral admixtures (blast furnace slag powder (BFS) fly ash (FA)) are investigated. addition, corresponding chloride ion mobility coefficient is measured. Additionally, freeze–thaw cycles with an NaCl concentration 3% studied. Thermogravimetric ...

The algorithm selection problem asks to select the best algorithm for a given problem. In the companion paper Everitt and Hutter (2015b), expected runtime was approximated as a function of search depth and probabilistic goal distribution for tree search versions of breadth-first search (BFS) and depth-first search (DFS). Here we provide an analogous analysis of BFS and DFS graph search, derivin...

Recently, a large amount of circulating fluidized bed boiler ash (CFBA) and desulfurization gypsum (DSG) has been produced, it is essential to develop technology to utilize them. These materials have CaO SO3, which are considered be a stimulant for blast furnace slag (BFS). This study presents an experimental investigation the compressive strength heavy metal ions immobilization properties...

This note recapitulates an algorithmic observation for ordered Depth-First Search (DFS) in directed graphs that immediately leads to a parallel algorithm with linear speed-up for a range of processors for non-sparse graphs. The note extends the approach to ordered Breadth-First Search (BFS). With p processors, both DFS and BFS algorithms run in O(m/p + n) time steps on a shared-memory parallel ...

The paper deals with transformation algorithms for decomposing Boolean neural networks (NNs); this being done with a view to possible VLSI implementation of NNs using threshold gates (TGs). We detail a possible tree decomposition for COMPARISON, and show how this can be used for the decomposition of Boolean functions (BFs) belonging to FN,m – the class of BFs of N variables that have exactly m ...

(i) RankSVM SVM based pairwise ranker. (ii) RankBoost Weak ranker based pairwise ranker that uses boosting. (iii) LambdaMART LambdaMART uses gradient boosting to optimize a ranking cost function. Baseline 1: FS-BFS The FS-BFS is a wrapper based approach of feature selection for ranking [Dang and Croft, 2010]. The method partitions the F into non-overlapping k subsets and learns a ranking model ...