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This paper has the focus to identify the unknown parameters of solar photovoltaic generators in real time, through the application of a new proposed technic. The identification process is discussed with details, about the four steps of identification. In this regard, the first step explain the experimental data acquisition work, to obtain data from real photovoltaic system. For the second step, a...
In this work is proposed a solution method for the optimal power flow (OPF) problem, including the synchronous generator capability curve constraints (SGCC). OPF is a non-convex, non-linear, and hard to solve optimization problem. When synchronous generator operational limits are not concerned, OPF solution could not be applicable in real scenarios, taking the machine to operate with winding currents...
This paper presents the implementation of a nonlinear robust controller in a boost converter, which operates in an uncertain environment. The proposed controller deals with uncertainties, which are unknown but bounded, and occur in the input voltage and the output pure resistive load. Mathematical proof of the efficiency of the controller and quantitative results about the amount of the uncertainty...
We propose a new algorithm for portfolio optimization based on statistical arbitrage, that uses a multi-criteria decision making approach to obtain the most preferred assets. A preference flow graph of financial assets is constructed at each time step, with the aid of statistical arbitrage algorithm that describes preferences among the assets. Then, the individual preferences for each asset are obtained...
The location of distributed generators (DG) with different size on the power distribution systems could modify the voltage profile and impacts the level of real power losses. Faster optimization technique as well as a high computational speed of load flow are therefore required. This paper presents a linear model and an algorithm that allow to calculate the real power losses of the system. This methodology...
With fast growth of data centers and automotive electronics, DC-DC converters are the crucial modules, which deliver power to these systems. High conversion ratio (HCR) step down DC-DC converters are gaining growing attention for usage in these high tech emerging applications. The main design challenge of these converters is maximizing conversion ratio, efficiency, and power density simultaneously...
Task allocations in collaboration are complex. This paper presents a challenging assignment problem, called Group Role Assignment with Agents' Busyness Degrees (GRAABD). The solution to this problem aims at creating a high-performance group by role assignment with consideration of the busyness degrees of agents. The contribution of this paper is the formalization of the proposed problem, a practical...
Exploration and exploitation are two strategies used to search the problem space in Evolutionary Algorithms (EAs). To significantly increase the performance of these optimization techniques in terms of the solution optimality is to strike the right balance between exploration and exploitation. Firefly is one of the most favored EAs. In this study, we introduce an entire fuzzy system to tune dynamically...
We present a deep learning architecture for learning fuzzy logic expressions. Our model uses an innovative, parameterized, differentiable activation function that can learn a number of logical operations by gradient descent. This activation function allows a neural network to determine the relationships between its input variables and provides insight into the logical significance of learned network...
Monocular ORB-SLAM has been proved to be one of the best open-source SLAM method. However, it is still unsatisfying especially in low illumination indoor environment, which is caused by scale recovery and wrong feature matching. In this paper, we proposed a vehicle model based monocular ORBSLAM method supplemented by April-Tag to improve the performance of original algorithm. This approach is practical...
Resonant wireless power transmission has the advantages of long transmission distance and high efficiency. Series — series (SS) transmitting and receiving system is suitable for small load research. In this paper SS-type circuit is analyzed and discussed by using equivalent circuit theory. The mathematical models of the transmission efficiency and output power are derived. The influencing factors,...
To deal with the fastly increasing energy consumption and energy costs in the manufacturing process, manufacturing companies are forced to search some methods to reduce energy cost without affecting the yield of their products or sacrificing quality. In this paper, an extended job shop scheduling problem, where machines can work at different speeds with different energy consumption, is modified. A...
With the accelerated urbanization process in China, more and more attention has been paid to residential environment quality. How to improve atmospheric quality, accelerate pollutant emission and reduce resource consumption by rationalizing layout is one of the most important issues in developing a healthy community. Based on the method of fluent flow field simulation, this paper chooses and analyzes...
Pumping optimization in water distribution networks means to schedule the ON/OFF status of pumps over a typical operating cycle, pursuing the minimum energy cost for pumping and matching technical requirements, e.g. sufficient pressure to satisfy customers' water requests, null water deficit at tanks, avoid complete emptying and overflows of tanks. In aged water distribution networks, pump scheduling...
This article covers the comparison of a primitive Dissipating-Predictive-State Planning Actor-Critic learning approach with SARSA(λ) (State-Action-Reward-State-Action) on the highly non-stationary competitive Cat and Mouse problem. The primary objective of the new algorithm was to minimize the number of constants that must be optimized before application while maintaining the performance found in...
Salient object detection aims to correctly highlight the most salient object(s) in an image. Combining fine-grained contrast prior with rough-grained object consistency, this paper proposes a Focusness Guided Salient object detection (FGS) algorithm. To obtain clean and precise contrast map, FGS uses the focusness prior to guide the contrast map. Combing different saliency priors, FGS utilizes a unified...
In recent years, several new methods for missing data estimation have been developed. Real world datasets possess the properties of big data being volume, velocity and variety. With an increase in volume which includes sample size and dimensionality, existing imputation methods have become less effective and accurate. Much attention has been given to narrow Artificial Intelligence frameworks courtesy...
In this paper is presented the mathematical model for the optimization of a radial electric network, taking into account the cost of investment in an electric line, the cost of line losses and the cost of load supplied from a source and constraints. The constraints are for sources, for loads and for the power lines. The purpose of the paper is to determine the optimal configuration (graph) of a test...
Many software mechanisms for geophysics exploration in Oil & Gas industries are based on wave propagation simulation. To perform such simulations, state-of-art HPC architectures are employed, generating results faster and with more accuracy at each generation. The software must evolve to support the new features of each design to keep performance scaling. Furthermore, it is important to understand...
This paper focuses on the parallelization of TVD Method scheme for numerical time integration of evolutionary differential equations. The Hopmoc method for numerical integration of differential equations was developed aiming at benefiting from both the concept of integration along characteristic lines as well as from the spatially decomposed Hopscotch method. The set of grid points is initially decomposed...
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