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In banking where customers are served from various channels, branch is still one of the most preferred service channels as a face to face communication channel. Key performance indicator of branch services is to minimize waiting times so that customers are served in a timely fashion. With the advances in digitalization capabilities, reservation ticketing systems for branches has become much more disseminated...
Restricted Boltzmann Machines (RBMs) have received special attention in the last decade due to their outstanding results in number of applications, such as face and human motion recognition, and collaborative filtering, among others. However, one of the main concerns about RBMs is related to the number of hidden units, which is application-dependent. Infinite RBM (iRBM) was proposed as an alternative...
Permanent magnet synchronous machines (PMSMs) have been used in many applications due to their outstanding advantages such as high torque/power density, high efficiency, light weight and good reliability. However the emerging field of electrical traction gave arise to issues which were in general hardly considered in the past Yet, even though well established methods for eDrive control are available,...
According to the character of long-term repairable storage systems, a method for estimation and optimization of storage availability is presented. Such system experiences two storage periods, cold storage period and hot storage period. According to the different inspection methods of the two periods, we established the storage models based on periodic inspection and continuous inspection respectively,...
This paper investigates distributed fault detection of wireless sensor networks with a class of faulty sensor node, fault source isolation and networked communication topology accommodation design issue considering filtering performance. The wireless sensor network in this paper is composed of spatially placed sensors which has a changeable networked communication topology, different state-space representations...
Dynamic programming is an effective technique for the evaluation of the potential of optimal fuel consumption of drive trains, as it guarantees a globally optimal solution. This paper investigates two major problems associated with the application of dynamic programming. The first problem is the high computational complexity. Iterative dynamic programming is proposed as an alternative to dynamic programming...
The optimization of electrical machines can be managed using advanced computational intelligence algorithms. These algorithms can speed up the design phase and can improve the performances, being able to find out the optimal design also in problems involving a large number of physical and geometric parameters. In this paper, a new population based metaheuristic algorithms, named Social Network Optimization...
This paper deals with the automated design of a Virtual Sensor used to estimate the vehicle planar motion states and the axle lateral forces. It is proposed to substitute the cumbersome and non-trivial manual task of tuning an Extended Kalman Filter by using meta-heuristic optimization, and in particular, employing the contrast-based Fruit Fly Optimization Algorithm (c-FOA). c-FOA is a recently developed...
Under partial shading condition or imbalanced temperature distribution, the power-voltage characteristic curve of photovoltaic (PV) array exhibits complicated multiple peaks. Traditional maximum power point tracking (MPPT) method is usually easy to trap into local extreme power point. To solve this issue, this paper proposes a novel MPPT method using quantum-behaved particle swarm optimization (QPSO)...
The paper presents a new MPPT method based on Golden-Section Optimization (GSO) technique for photovoltaic systems. The GSO-based MPPT converges to the MPP by interval shrinking. Initially, two points have been selected from the search space that is known, evaluated then a new point is accordingly generated. At given iteration the algorithm has a new narrowed interval bounded by the new point and...
In this paper, we propose a modified architecture of a Pi-Sigma Neural Network (PSNN) based on two modifications: extension of the activation function and adding delays to neurons in the hidden layer. These new networks are called respectively Activation Function Extended Pi-Sigma (AFEPS) and Delayed Pi-Sigma (DPS) are obtained first by adding an activation function to all hidden neurons and secondly...
This paper addresses the issue of control parameter uncertainties in total transfer capability (TTC) calculation for meshed transmission grids with VSC-HVDC. A new concept of TTC embodying control parameter uncertainties (TTCU) is first proposed. And then the calculation model of TTCU for meshed transmission grids with VSC-HVDC and its solving approach are further presented. Simulations are carried...
Recently, fault indicators with communication function have been increasingly used in fault diagnosis of distribution networks. In this paper, an objective function which considers the reliability index of the distribution network and economic factors synthetically has been proposed for optimal placement of fault indicators in distribution networks, and binary particle swarm optimization algorithm...
U-shaped Line (UL) utilizes many manufacturing industries. It applies the just-in-time principle, the lean manufacture, and the quality improvement. It reduces the waste in the manufacturing operation. This paper presents two UL models which consist of eight certain tasks and three uncertain tasks. Two UL models include UL No.1 and UL No.2. The uncertain tasks assume the time distribution that is...
In this work a new improved version of Teatching Learnning Based Optimization algorithm, TLBO, is proposed. The new strategy is obtained by tne inclusion of the Bat Algorithm, BA, random local search part in the optimization process with TLBO algorithm. The developped hybrid algorihm is applied jointly with 2D non-linear finite elment method to solv the Team workshop problem 25.
Solar cell/module modeling involves the formulation of the non-linear current versus voltage (I-V) curve. Determination of parameters plays an important role in solar cell/module modeling. This paper presents an application of the improved PSO search method and Particle Swarm Optimization technique for identifying the unknown parameters of solar cell and photovoltaic module models, namely, the series...
In order to reduce the traffic load in cellular network and improve the data rates for users located in an indoor environment the Femtocells are used to solve the poor indoor coverage problem. It represents a cost-effective solution compared to other solutions such as Picocells and distributed antenna systems. However, if the signal-to-noise ratio is high then UEs can receive good throughput. For...
This paper addresses the parameter identification problem of a fractional order system with a known structure. Thus, based on the variational iteration method, its shown that the identification of the parameters can be formulated as an optimization problem. The objective function is the L2-norm of the error between the measured and the model outputs, and the unknown model parameters are the decision...
To enhance the capacity and spectrum efficiency of existing satellite resources, cooperative transmissions are widely considered in geostationary orbit satellite collocation (GEOSC) systems. However, the existing cooperative transmission methods mainly focus on two-satellite GEOSC systems, which might not be helpful to improve the performance of a multi-satellite collocation (MSC) system. In this...
This paper proposes a generic methodology for combined cycle gas turbines (CCGT) modeling. The main objectives are the estimation of the CO2 emissions for specific units and their integration in an environmental power dispatch that considers several plants. At first a design procedure aims at calibrating the model using the sparse information advised by the manufactures. Off-design points are also...
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