An optical basicity scale of various ionic liquids (IL) anions has been determined by UV-Vis absorption spectroscopy. The indicator complex [Ni(tmen)(acac)][B(Ph)(4)] (tmen = tetramethylethylendiamine, acac = acetylacetonate) shows to be a sensitive probe as the position of the (3)A(2g)(F) --> (3)T(1g)(F) absorption maximum of square planar to octahedral Ni(2+) shifts distinctly depending on th...

In situ EDE and scanning EXAFS studies of homogeneous aikene oligomerisation catalysts are reported. EDE spectra were acquired either on Station 9.3 at the SRS Daresbury Laboratory using a bent Si(220) crystal monochromator (Ni and Br K-edges) or on ID24 at the ESRF using a Si(ll1) monochromator in a Bragg geometry (Ni K-edge). The catalysts studied were derived fiom mixtures of Ni(acach (acac ...

We have applied a color-developing reagent, p-nitrobenzene diazonium fluoroborate (diazo reagent) as a post-column derivatization tool for the specific determination of acetoacetate (AcAc) in high performance liquid chromatography (HPLC). A mobile phase consisting of 50 mM KH(2)PO(4), 4 mM tetra-n-butylammonium phosphate (TBAP) as an ion-pair reagent and 2 v/v% methanol, pH 3.5, diazo reagent s...

This article introduces modern optimization models and solution methods for two fundamental decision making problems in electric power system operations, the optimal power flow (OPF) problem and the unit commitment (UC) problem. The article surveys some of the most recent advances, including global optimization techniques for exact solution of the OPF problem, adaptive robust optimization model...

We present here a novel framework for graph-based pattern recognition techniques called Optimum-Path Forest (OPF), which has been demonstrated to be superior than traditional supervised pattern recognition techniques, such as Artificial Neural Networks using Multilayer Perceptrons and Support Vector Machines, in terms of both accuracy and execution times. The OPF-based classifiers model the pro...

A stochastic optimal power flow (S-OPF) model considering uncertainties of load and wind power is developed based on chance constrained programming (CCP). The difficulties in solving the model are the nonlinearity and probabilistic constraints. In this paper, a limit relaxation approach and an iterative learning control (ILC) method are implemented to solve the S-OPF model indirectly. The limit...

In this paper, a novel multi-agent decision making architecture based on dual’s dual problem formulation is designed for economic operation. The benefits of such architecture include its limited information exchange among autonomous entities and the ease of implementation. Existing AC optimal power flow (OPF) software packages can be easily incorporated. The proposed decision making is based on...

Optimal Prime Fields (OPFs) are considered to be one of the best choices for lightweight elliptic curve cryptography implementation on resource-constraint embedded processors. In this paper, we revisit efficient implementation of the modular arithmetic over the special prime fields, and present improved implementation of modular multiplication for OPFs, called Optimal Prime Field Coarsely Integ...