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Cache-enabled base station (BS) densification, denoted as a fog radio access network (F-RAN), is foreseen as a key component of 5G cellular networks. F-RAN enables storing popular files at the network edge (i.e., BS caches), which empowers local communication and alleviates traffic congestions at the core/backhaul network. The hitting probability, which is the probability of successfully transmitting...
In this study, extracting a path plan has been aimed by using vision based and potential field methods together for a static obstacle hosted environment. Path extracting operations have been executed on image frame taken from real environment with eye-out-device configuration. An obstacle free path plan is uncovered between robot and target with adaptive potential field method by considering position...
The pipes of a ship, which exist in heterogeneous typology and massive number, are one of the key elements in a shipyard, and their real-time monitoring constitutes a prospective Cyber-Physical System (CPS). Their improved location, from production and through their lifetime, can enhance shipyard productivity and safety. Navantia, one of the ten largest shipbuilders in the world, has improved its...
The Lagrangian function was originally a classical form of mechanical equation, and now it has been widely used in various disciplines such as science, engineering, and economics. In this paper, we constructs the optimal utilization model of non-renewable resources by means of Lagrangian function based on the Hortling rule, and explains the model from practical application. On the basis of the above,...
The authors deliver the comparative study between the directly reduced systems and step wise reduced systems. In this paper reduced order model corresponding to a higher order model, say T, in two steps using HSIA's method has been found. This method is very simple and gave stable reduced order system corresponding to the stable original system. This method is used twice to find the final reduced...
There are a lot of document image binarization techniques that try to differentiate between foreground and background but many of them fail to correctly detect all the text pixels because of degradations. In this paper, a new binarization method for document images is presented. The proposed method is based on the most commonly used binarization method: Sauvola's, which performs relatively well on...
Modeling of physical systems with high accuracy results into a complex model with higher-order dynamics. This creates intricacy in analysis, simulation and controller design. So one needs to find an approximate simpler representation of such complex systems while preserving the characteristic properties of the higher order system. Reduced lower order representations provide facility in easy analysis...
In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design,...
EEG signal is used to establish a communication channel between brain and control device. A common scenario of machine learning based brain computer interface (BCI) is class wise accuracy is different from overall accuracy. Accuracy for one class is worse than overall accuracy. Because, error rates of all classes are not converging in same rate during training of learner. Active class selection (ACS)...
Many methods have been introduced as economic load dispatchers. However, all these methods depend on the optimization field, where most of these studies mainly focus on how to strengthen the optimization algorithms themselves. This means the mystery key that segregate between the good and bad ELD solvers is the optimization algorithm itself. However, there is a practical fact known in many real power...
The paper is devoted to the issue of energy efficiency monitoring in industry. The drawbacks of well-known statistical method based on Monitoring and Targeting systems are considered. An improved procedure of energy efficiency monitoring for industrial objects has been proposed. Appropriate procedure is based on the statistical modelling of energy consumption, including confidence intervals of mathematical...
In this paper we propose an algorithm that generates reduced-order time-domain macromodels of nonlinear circuits. The reduction technique is done in two steps. In the first step, proper orthogonal decomposition is used to reduce the size of the nonlinear differential algebraic equations describing the circuit. In the second step, feedforward neural networks are used to model the behavior of the nonlinear...
The paper considers an electric circuit of a microelectronic oscillator based on a BJT-MOSFET structure with negative differential resistance. A mathematical model of this oscillator has been developed. Theoretical and practical researches of oscillations dynamics have been carried out. Lyapunov exponents have been calculated. Limits of periodic and chaotic oscillations modes have been determined...
Chemical coagulation process efficiently removes both natural organic matter and small colloidal particles that have negative impacts on taste, smell and appearance of treated water. The current practice requires regular manual intervention. In smaller WTPs, often serving remote communities, regular intervention by experienced operators is not feasible and, hence, coagulant overdosing and underdosing...
This manuscript investigates the effect of new investments on the locational marginal prices in the main interconnected system of Oman. The study includes modeling the existing transmission network and simulating system performance during peak period. In addition, the effect of renewable energy projects on locational marginal prices are simulated.
In this paper, a simple artificial neural network power system stabilizer (SANN-PSS) is implemented using a reduced order power system. Knowledge of the high bus voltage of a transformer is employed to alter the Heffron-Phillips' method. Furthermore, a reduction technique is applied to change the power system's sequence, and increase the power system's stability by adjusting the controller's parameters...
This paper presents a new approach for acoustic environment classification based on the discrete Hartley transform. The approach applies a Hidden Markov Model based classifier on test data composed of audio clips, in order to determine which environment is surrounding these audio clips. The approach uses features obtained from the discrete Hartley transform, leading to a set of features that require...
A novel robust tracking controller for a quadrotor UAV is designed that is capable to compensate the unknown unmatched uncertainties in the system model. A backstepping approach is employed in which such perturbations are estimated on-line by a nonlinear disturbance observer (NDO). The NDO is employed to estimate the effect of wind perturbations and unknown aerodynamical forces. Global asymptotic...
In the paper we propose a discrete singular convolution method to perform the steady-state analysis of relaxation oscillators in time domain. Approximation of derivatives in the ordinary differential equations representing the oscillators' mathematical model is provided in the matrix form with usage of the Shannon's series kernel. The examples are given to illustrate the application of the developed...
A new calibration method for Inertial Measurement Unit (IMU) of strapdown inertial technology was presented. IMU has been composed of accelerometers, gyroscopes and a circuit of signal processing. Normally, a rate transfer test and multi-position tests are used for IMU calibration. The new calibration method is based on whole angle rotation or finite rotation. In fact it is suggested to turn over...
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