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Many neural architectures including RBF, SVM, FSVC classifiers, or deep-learning solutions require the efficient implementation of neurons layers, each of them having a given number of m neurons, a specific set of parameters and operating on a training or test set of N feature vectors having each a dimension n. Herein we investigate how to allocate the computation on GPU kernels and how to better...
Online social networks have become the major source of information and entertainment for millions of users due to the tremendous increase of the accessibility options. Mobile internet has revolutionized the users to access social networking sites with ease and also allows to various social multimedia content anytime, anywhere and on behalf of any identity. This makes the analysis of user interactions...
High level synthesis tools offered by either FPGA (Field Programmable Gate Array) vendors or from the public domain are evaluated in order to generate efficient and low complexity computational intelligence modules. This paper reports specific issues and comparative synthesis results in implementing basic modules of the FSVC classifier (Fast Support Vector Classifier) and cellular automata starting...
Communication traffic continue to improve due to the rapid growth in broadband access in recent years, frequently based on PIN or tunnel devices. The present paper discuses two kind of tunnel devices, in a vertical configuration through the cross-section, allowing the tunnel current flow from upper anode to bottom cathode: PIN and NOI device in a planar technology (p-NOI). Recently, the NOI — Nothing...
Nowadays, the role and functionality of power supply system of the consumer (PSC) increases. As interface between the power distribution system and consumer power system, PSC has a strong influence on quality and efficiency of energy and implicitly on the level of energy costs. Besides specific measures for increasing efficiency and reduction of energy costs, the industrial consumer is interested...
A spatial load forecasting method based on unstructured information processing and multi — attribute depth learning is proposed. In order to solve the problem that the unstructured attributes have great influence on the load density but can't be directly put into calculation, the natural language processing (NLP) technique is used to structure those attributes. In view of the on characterization of...
This article proposes an extension of the reachable and controllable sets theory for multi-step aircraft constrained optimal control problems. Initially, a brief overview of the reachable and controllable sets theory is provided, together with the aircraft multi-step constrained optimal control problem. In total, 4 aircraft cases are analyzed (a general aviation aircraft, a fighter jet, a business...
Recognition of epileptic seizures is an important issue and in certain circumstances it is desirable to have portable equipment implementing the algorithm in order to better monitor the patients. This work considers a widely used EEG database from University of Bonn as reference for comparing our recognition method with other previously reported. In order to perform epileptic seizures we combine a...
Ensemble learning is a method created by using different combinations of experts. Using different combinations has a great potential to get better results in pattern classification problems. In this study, ensemble learning was used for the aim of PAF screening, i.e. finding whether a person is PAF patient or not from his/her ectopic-free ECG records. Both hierarchical and parallel structures of ensemble...
The paper will present the first results of an extended analysis based on synchronously recorded electrical and weather data, aimed to numerically evaluate the stochastic variation of transmission power losses measured on a given 400 kV line, in correlation with different environmental influence factors such as air temperature and pressure, dew point, wind speed and direction, type and amount of precipitation...
Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
In modern systems, where many equipment are controlled by electronic devices, power transmission and distribution networks are increasingly turning into “smart grids”. There is the question of the immunity of these equipment to the action of electromagnetic fields generated by other equipment, as well as the immunity of other control and monitoring devices to the action of electromagnetic fields generated...
The aim of this paper is the conversion of the classical hysteresis controller into a constant frequency hysteresis current controller. The classical alternative to the hysteresis controller is the proportional-integrative controller which gives constant switching frequency and overall better performances with a cost of comprehensive parameter tuning and sensitivity at driven system change. The hysteresis...
Progresses obtained in command and power electronics have increased the technical and economic performances of brushless direct current motors. Consequently, the problem of optimum design and operation of these motors, frequently used for driving small vehicles, is a very present one. Studies presented in literature show that high oscillations of torque occur in these motors in a complete rotation...
Notch antenna is constructed by slotting an edge of rectangular patch placed on a substrate over ground plane. Analysis of the notch antenna is complicated and very difficult due to having non-uniform shape. In this work, a novel formulation is proposed for calculating the resonant frequency of the notch antennas. The formulation regarding the resonant length of the antenna reflecting the impact of...
This paper reports on the Field-Programmable Gate Array (FPGA) real-time implementation of a vector control scheme, by means of hardware-in-the-loop simulation. This approach will be applied for a PMSM used to propel an electric scooter, preceding its integration in a more complex experimental setup. The emerging need for powerful, flexible system-on-a-chip (SoC) platforms for developing complex drive...
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