This paper presents a method to improve the accuracy of DC Optimal Power Flow problem, based on evaluating some nodal shares of transmission losses, and illustrates its efficiency through comparing with the conventional DCOPF solution, as well as the full AC one. This method provides three main advantages, confirming its efficiency: 1- It results in such generation levels, line flows, and noda...

Intelligent watermarking (IW) techniques employ population-based evolutionary computing in order to optimize embedding parameters that trade-off between watermark robustness and image quality for digital watermarking systems. Recent advances indicate that it is possible to decrease the computational burden of IW techniques in scenarios involving long heterogeneous streams of bi-tonal document i...

In this paper we consider the Convex Quadratic Optimization problem with simultaneous perturbation in the right-hand-side of the constraints and the linear term of the objective function with different parameters. The regions with invariant optimal partitions are investigated as well as the behavior of the optimal value function on the regions. We show that identifying these regions can be done...

Ernest Sosa has long defended bi-level virtue epistemology on the grounds that it offers the best overall treatment of epistemology’s central issues. A surprising number of problems “yield to” the approach (Sosa 1991: 9). Sosa applies bi-level virtue epistemology to diagnose and bypass ongoing disputes in contemporary epistemology, including the disputes between foundationalists and coherentist...

An artificial lateral line (ALL) consists of a set of flow sensors arranged around a fish-like body. An ALL aims at identifying surrounding moving objects, a common example of which is a vibrating sphere, called a dipole. Identification accuracy for an arbitrary dipole can be enhanced by a proper selection of design parameters of the ALL, including the number and location of the sensors as well...

Police departments worldwide are eager to develop better patrolling methods to manage the complex and evolving crime landscape. Surprisingly, the problem of spatial police patrol allocation to optimize expected crime response time has not been systematically addressed in prior research. We develop a bi-level optimization framework to address this problem. Our framework includes novel linear pro...