OBJECTIVES/HYPOTHESIS To evaluate the osteoplastic flap (OPF) procedure for frontal sinus pathology at our institution, including indications, revisions, obliteration vs. nonobliteration, and obliteration materials. STUDY DESIGN Single-institution retrospective review from 1998 to 2013. METHODS Current Procedural Terminology codes identified all OPF procedures. Demographic data, diagnoses, ...

The set of optimization problems in electric power systems engineering known collectively as Optimal Power Flow (OPF) is one of the most practically important and well-researched subfields of constrained nonlinear optimization. OPF has enjoyed a rich history of research, innovation, and publication since its debut five decades ago. Nevertheless, entry into OPF research is a daunting task for th...

This paper is based on material presented at the IEEE 1995 Winter Power Meeting Panel Session on Challenges to OPF, sponsored by the IEEE Working Group on Operating Economics. The paper contains a brief summary of the session followed by summaries. INTRODUCTION J.A. Momob, Senior Member Howard University Washington, DC The increasing demand for an OPF tool for assessing state and recommended co...

When uncontrollable resources fluctuate, optimal power flow (OPF), routinely used by the electric power industry to redispatch hourly controllable generation (coal, gas, and hydro plants) over control areas of transmission networks, can result in grid instability and, potentially, cascading outages. This risk arises because OPF dispatch is computed without awareness of major uncertainty, in par...

The optimal power-flow problem (OPF) has always played a key role in the planning and operation of power systems. Due to the non-linear nature of the AC power-flow equations, the OPF problem is known to be non-convex, therefore hard to solve. Most proposed methods for solving the OPF rely on approximations (e.g., of the network model) that render the problem convex, but that consequently yield ...

In this work we have proposed an innovative and accurate solution for non-technical losses identification using the Optimum-Path Forest (OPF) classifier and its learning algorithm. Results in two datasets demonstrated that OPF outperformed the state of the art pattern recognition techniques and OPF with learning achieved better results for automatic nontechnical losses identification than recen...