19 In general, pattern recognition techniques require a high computational burden for learning the discriminating functions that are responsible to separate samples from distinct classes. As such, there are several studies that make effort to employ machine learning algorithms in the context of “big data” classification problems. The research on this area ranges from Graphics Processing Units-b...

The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind of classifier can be important for many applications. In this paper we report a fast method to combine OPF-based classifiers trained with disjoint training subsets. Given a fi...

The purpose of this thesis is to investigate the cost-optimal placement and sizing of battery storage as a PV integration measure in the distribution grid level. Additionally, potential synergies between PV generation, battery storage, smart PV curtailment and electric mobility are also explored within this thesis. Accordingly, a versatile optimization tool has been developed in order to identi...

By-products from oil palm can feed ruminants such as fronds (OPF) and sludge (PS). Judging its continuous, cheap, abundant availability the industry, well a source of fiber or component in complete for ruminants, it is potential that be used animal feed. However, use livestock production minimal due to their complex structure, high lignin content, low protein content. So, needs management techn...

Although quantitative EEG (q-EEG) has been used in Alzheimer's disease (AD), q-EEG changes in AD are complex because of the progressive nature of this disease. The topographical spectral power and occipital peak frequency (OPF) were compared among elderly controls, patients with mild cognitive impairment (MCI), and patients with four stages of AD. In AD patients, except those with a Clinical De...

Distributed Generation (DG) can help in reducing the cost of electricity to the costumer, relieve network congestion and provide environmentally friendly energy close to load centers. Its capacity is also scalable and it provides voltage support at distribution level. Hence, DG placement and penetration level is an important problem for both the utility and DG owner. The cost of electricity as ...

In this thesis, a Newton-based optimal power flow (OPF) is developed for implementation into a power system simulation environment. The OPF performs all system control while maintaining system security. System controls include generator megawatt outputs, transformer taps, and transformer phase shifts, while maintenance of system security ensures that no power system component's limits are viola...

This paper develops an effective control framework for DC voltage control and power-sharing of multi-terminal DC (MTDC) grids based on an optimal power flow (OPF) procedure and the voltage-droop control. In the proposed approach, an OPF algorithm is executed at the secondary level to find optimal reference of DC voltages and active powers of all voltage-regulating converters. Then, the voltage ...