Chaotic Behavior Analysis of a New Incommensurate Fractional-Order Hopfield Neural Network System

This study intends to examine different dynamics of the chaotic incommensurate fractional-order Hopfield neural network model. The stability of the proposed incommensurate-order model is analyzed numerically by continuously varying the values of the fractional-order derivative and the values of the system parameters. It turned out that the formulated system using the Caputo differential operator exhibits many rich complex dynamics, including symmetry, bistability, and coexisting chaotic attractors. On the other hand, it has been detected that by adapting the corresponding controlled constants, such systems possess the so-called offset boosting of three variables. Besides, the resultant periodic and chaotic attractors can be scattered in several forms, including 1D line, 2D lattice, and 3D grid, and even in an arbitrary location of the phase space. Several numerical simulations are implemented, and the obtained findings are illustrated through constructing bifurcation diagrams, computing Lyapunov exponents, calculating Lyapunov dimensions, and sketching the phase portraits in 2D and 3D projections.

Optimal distributed generation placement using artificial intelligence for improving active radial distribution system

There are several profits of distributed generator (DG) units which are believed for improving the safety of the distribution power grids. However, these profits can be maximized by ensuring optimum sizing and positioning of DG units because an arbitrary location of DG units may adversely affect and jeopardize power grids which could contribute to maximising of power loss and degradation of the voltage profile. Therefore, several approaches were suggested to ensure optimum position and size of DGs. The primary aim of this article is for establishing technique for optimum scheduling and operating of DG to lessen power loss, revamp voltage profile and overall network reliability. Artificial intelligence method called particle swarm optimization (PSO) is utilized for finding the best site and size of DG to lessen power loss and boost the voltage profile. In this paper, IEEE 33 distribution system is utilized to display applicability of PSO. The results of the PSO are compared with the results gotten by other methods in the literature. Finally, the results show that the PSO is superior than the other methods.

The new MeteoSwiss postprocessing scheme for medium-range surface weather forecasts: multi-model, probabilistic, seamless, and at any arbitrary location

<p>MeteoSwiss has developed and is currently implementing a NWP postprocessing suite for providing  automated weather forecasts at any location in Switzerland. The aim is a combined postprocessing of high resolution limited area and global model ensembles with different forecast horizons to enable seamless probabilistic forecasts over two weeks leadtime. Further, the output should be coherent in space and provide predictions at any location of interest, including sites without observations. We use the full archive of MeteoSwiss’ operational local area models (COSMO-1 and COSMO-E) over the past four years and the corresponding IFS-ENS medium range predictions of ECMWF to develop postprocessing routines for temperature, precipitation, cloud cover and wind. Here we present selected key results on the performance of various postprocessing methods we applied but also on practical aspects of their implementation into operational production.</p><p>Both ensemble model output statistics (EMOS) and machine learning (ML) approaches are able to improve the forecasts in terms of CRPS by up to 30% as compared to the direct output of the local area model. The skill increase obtained by postprocessing varies depending on the parameter, region and season, with best results for temperature and wind in areas of complex orography and only marginal improvements for precipitation during seasons with a high fraction of convective situations. Particularly for temperature, the combined postprocessing of COSMO and IFS-ENS resulted in a skill benefit over postprocessing the COSMO models alone. Locally optimized postprocessing would allow further skill improvements, but only at sites where observations are available. However, the ability of non-local postprocessing approaches to provide calibrated forecast at any point in space is a key advantage for providing automated forecasts to the general public via the internet and smartphone app. Furthermore, the computational efficiency of these non-local approaches makes them attractive for operationalization in a realtime context. </p>

Aerodynamic Study of Tilting Asymmetrical Ducted Fans Mounted at the Wing Tips of a VTOL UAV

Tilting ducted fans attached to the wing tips of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs) define new applications for these types of vehicles. This new configuration gives VTOL UAVs the ability to hover like helicopters and fly forward like airplanes. These abilities provide VTOL UAVs with possibility of using any arbitrary location for take-off and landing combined with enhanced range and speed. The thrust vectoring is another advantage of this new configuration, which can be used in most of the necessary maneuvers. The flow behaviour around tilting ducted fans needs to be studied as it has significant effects on the performance of the VTOL UAVs. The first objective of this research is to investigate the use of asymmetrical shape for the external body of ducted fans. This geometry can generate additional lift in cruise mode, which can lead to more applications for the VTOL UAVs by saving more energy. Both CFD and experimental methods showed noticeable improvement in the lift velocity (Vind) of the inlet flow to the rotor plane. This is required for computing aerodynamic coefficients necessary for stability and control analysis of the proposed VTOL UAV. “Actuator Disk Model” combined with the assumption of “Constant Delivered Power” to the propeller were used successfully to calculate Vind for the CFD simulations. The third objective is using CFD coefficient by using an asymmetrical ducted fan. The second objective is to predict the induced simulation for predicting aerodynamic forces and pitching moments of the tilting ducted fans in the transition conditions for different tilting rates. The effects of the stall and flow separation on the aerodynamic coefficients were discussed and compared for both ducted fans. The fourth objective is using the aerodynamic coefficients of the tilting ducted fans to predict and compare the level flight conditions of the proposed VTOL UAV during transition between cruise mode and hover. Results of this research demonstrate satisfactory agreement between CFD simulations and wind tunnel tests for all of these objectives, which could predict the aerodynamic behaviour of the proposed VTOL UAV during transition between cruise mode and hover.

Aerodynamic Study of Tilting Asymmetrical Ducted Fans Mounted at the Wing Tips of a VTOL UAV

Tilting ducted fans attached to the wing tips of vertical take-off and landing unmanned aerial vehicles (VTOL UAVs) define new applications for these types of vehicles. This new configuration gives VTOL UAVs the ability to hover like helicopters and fly forward like airplanes. These abilities provide VTOL UAVs with possibility of using any arbitrary location for take-off and landing combined with enhanced range and speed. The thrust vectoring is another advantage of this new configuration, which can be used in most of the necessary maneuvers. The flow behaviour around tilting ducted fans needs to be studied as it has significant effects on the performance of the VTOL UAVs. The first objective of this research is to investigate the use of asymmetrical shape for the external body of ducted fans. This geometry can generate additional lift in cruise mode, which can lead to more applications for the VTOL UAVs by saving more energy. Both CFD and experimental methods showed noticeable improvement in the lift velocity (Vind) of the inlet flow to the rotor plane. This is required for computing aerodynamic coefficients necessary for stability and control analysis of the proposed VTOL UAV. “Actuator Disk Model” combined with the assumption of “Constant Delivered Power” to the propeller were used successfully to calculate Vind for the CFD simulations. The third objective is using CFD coefficient by using an asymmetrical ducted fan. The second objective is to predict the induced simulation for predicting aerodynamic forces and pitching moments of the tilting ducted fans in the transition conditions for different tilting rates. The effects of the stall and flow separation on the aerodynamic coefficients were discussed and compared for both ducted fans. The fourth objective is using the aerodynamic coefficients of the tilting ducted fans to predict and compare the level flight conditions of the proposed VTOL UAV during transition between cruise mode and hover. Results of this research demonstrate satisfactory agreement between CFD simulations and wind tunnel tests for all of these objectives, which could predict the aerodynamic behaviour of the proposed VTOL UAV during transition between cruise mode and hover.

Fast and Accurate Light Field View Synthesis by Optimizing Input View Selection

There is a trade-off between spatial resolution and angular resolution limits in light field applications; various targeted algorithms have been proposed to enhance angular resolution while ensuring high spatial resolution simultaneously, which is also called view synthesis. Among them, depth estimation-based methods can use only four corner views to reconstruct a novel view at an arbitrary location. However, depth estimation is a time-consuming process, and the quality of the reconstructed novel view is not only related to the number of the input views, but also the location of the input views. In this paper, we explore the relationship between different input view selections with the angular super-resolution reconstruction results. Different numbers and positions of input views are selected to compare the speed of super-resolution reconstruction and the quality of novel views. Experimental results show that the speed of the algorithm decreases with the increase of the input views for each novel view, and the quality of the novel view decreases with the increase of the distance from the input views. After comparison using two input views in the same line to reconstruct the novel views between them, fast and accurate light field view synthesis is achieved.

Calculation of symbol error rate in a telecommunication system based on amplitude modulation of many components

The known analytical equations for calculating the symbol error rate (SER) in the M-ary telecommunication system are considered. The analytical equations for calculating SER in a telecommunication system based on M-ary amplitude modulation of many components (M-AMMC) and other varieties of amplitude-phase shift keying with arbitrary number and arbitrary location of signal points of the signal constellation, as well as under the action of additive white Gaussian noise in a communication line are proposed. According to the results of the research, it is found that the proposed equations allow us to increase the accuracy of calculating SER when using M-AMMC and other varieties of amplitude-phase shift keying compared to known analytical equations.

Study of Temporal Correlations in the Urban Noise Monitoring Network of Milan, Italy

The European Life project, called DYNAMAP, has been devoted to provide a realimage of the noise generated by vehicular trafficin urban and suburban areas, developing a dynamic acoustic map based on a limited numberof low-cost permanent noise monitoring stations.In the urban area of Milan, the system has beenimplemented over the pilot area named Area 9.Traffic noise data, collected by the monitoringstations, each one representative of a numberof roads with similar characteristics (e.g. dailytraffic flow), are used to build-up a “real time”noise map. DYNAMAP has a statistical structure and this implies that information capturedby each sensor must be representative of an extended area, thus uncorrelated from other stations. The study of the correlations among thesensors represents a key-point in designing themonitoring network. Another important aspectregards the “contemporaneity” of noise fluctuations predicted by DYNAMAP with those effectively measured at an arbitrary location. Integration times heavily affect the result, with correlation coefficients up to 0.8-0.9 for updating timesof 1h. Higher correlations are observed when averaging over groups of roads with similar traffic flow characteristics

Электродинамическая модель системы «излучатель-корпус объекта»

В целях выработки единого подхода к оценке роли корпуса подвижного объекта (грунтового, воздушного, корабельного, железнодорожного), на котором установлен малогабаритный излучатель произвольного типа, предложен единый энергетический подход с использованием понятия добротности. Показано, что добротность системы в широких пределах изменяется в зависимости от места установки малогабаритного излучателя. Для оценки вклада корпуса объекта в общую эффективность системы предложен параметр коэффициент возбуждения корпуса объекта, определяемый соотношением идеальной добротности малогабаритного излучателя в свободном пространстве к идеальной добротности излучателя, размещенного на корпусе подвижного объекта. Проанализированы пределы изменения данного коэффициента в зависимости от координат места установки излучателя и его типа (электрического или магнитного). Указанный подход позволяет численно оценить коэффициент полезного действия системы излучатель-корпус объекта при рассмотрении антенны произвольного типа, расположенной в произвольном месте корпуса.In order to develop a unified approach to assessing the role of the body of a moving object (ground, air, ship, or rail) equipped with a small-sized radiator of an arbitrary type, a unified energy approach is proposed using the concept of quality factor. It is shown that the quality factor of the system varies widely depending on the installation location of a small-sized radiator. To assess the contribution of the objects body to the overall system efficiency, a parameter is proposed - the excitation coefficient of the objects body, which is determined by the ratio of the ideal quality factor of a small-sized radiator in free space to the ideal quality factor of a radiator mounted on the body of a moving object. The range of this coefficient is analyzed depending on the location coordinates of the installed radiator and its type (electric or magnetic). This approach allows the numerical evaluation of the efficiency of the radiator objects body system when considering an antenna of an arbitrary type located in an arbitrary location on the body.

Image Processing and Pattern Recognition Based on Artificial Models of the Structure and Function of the Retina

The chapter considers principles of construction of retina of the eye. It proposed a system recognition of complex images that models the structure of the retina and the signals at its output. The system is capable of recognizing images and creating new classes. The time impulse description method of images using cellular automata is considered. Images are described by pulse sequences that are created with the help of specially organized cellular automata. The system allows the authors to recognize images of complex shape, which can have an arbitrary location in the field of the visual scene and can have a different scale.