In this paper, we present a compact hardware platform for power analysis attacks such as a differential power analysis attack. The board is equipped with FPGA chip (namely Altera Cyclone III) and four different measurement points. We provide hardware details of the presented platform and we thoroughly present each of the points dedicated for power consumption measurements. They are used for an extraction of vulnerable information through the power counsumption measured during cryptographic operations. In addition, we provide an example of the power analysis attack based on the differential power analysis. We show properties of the board using attacks on straightforward AES S-box operations and on scalable multiplications in the elliptic curve digital signature algorithm.

The second order Sallen-Key low-pass filter structures have one disadvantage in the voltage and current mode, it is a decreasing of the attenuation in the stopband. This fact is caused by losses of the amplification factor of active elements at high frequencies. Some solutions of this problem had been already published for circuits working in the voltage mode. This article presents one of the possible solutions of this problem for circuits working in the current mode.

Programming languages evolve as the need for higher abstraction level increases. To satisfy these needs, languages introduce new features, which are usually additional elements, but many times these are not orthogonal to the existing ones. The C++ programming language is planned with backward compatibility kept in mind between particular releases. However, some of the new features introduced by C++11, like move semantics or multi-threading required the change of the standard library API and this leads to deviation in the meaning of existing programs. In this article we draw the attention on some of these semantic changes and provide a tool for automatically detecting them.

An increasing interest for monitoring of motor oils condition is devoted by automotive producers and researchers. Many studies are concerned to problematics of degradation factors and diagnostics. There is an increasing variety of sensors and systems for realtime monitoring of material characteristics. Utilization of such sensors is efficient for monitoring of motor oil aging. Using experimental samples a specific behaviour of motor oil was evaluated by study of degradation processes throughout the life cycle of engine oil. The key parameters – kinematic viscosity, dielectric constant and specific conductivity were examined for better understanding of ongoing degradation processes that take place in engine motor oil. These characteristics are discussed and they are the background for continuous diagnostics.

This paper deals about sizing of hybrid renewable source application to supply power for public lighting system for entire village without connection to the electrical grid. Such hybrid renewable power systems are suitable in remote area where grid connection is unavailable or connection to grid is expensive. Hybrid system in this paper consists from photovoltaic power plant and large battery bank to storage electricity. Battery bank is supposed to be large because time when electricity is needed is completely different from time when photovoltaic power plant produce power from sun.

The paper deals with a sensorless control of induction motor based on neural network estimators. In the paper are presented simulation and results of designing neural estimators for observing the rotor magnetic current and the motor angular speed. The neural estimators of rotor magnetic current and angular speed for induction motor field oriented control were designed in MATLABSimulink. Controllers for simulation of shaft sensorless field oriented control have been designed by state space method.

A zero-voltage, zero-current switching (ZVZCS) PWM DC-DC power converter with secondary active rectifier tested as a dc current source for arc welding is described in this paper. The soft switching DC-DC converter consists of high frequency inverter, high frequency power transformer and controlled output rectifier with new secondary energy recovery turn-off snubber. Circulating current in the converter is reduced by using active rectifier and rms value of the current in secondary switches is decreased by utilizing a novel control algorithm. The experimental results of a 4.5 kW DC-DC converter working at switching frequency of 100 kHz are presented.

This paper presents a new direct torque control (DTC) strategy for Synchronous Reluctance Motor using the particle swarm optimization (PSO) algorithm. In conventional direct torque controlled (DTC) Synchronous Reluctance Motor (SRM), there is usually undesired torque and flux ripple. So Tuning parameter of the PI-Controller (Kp, Ki) are essential to DTC system to improve the performance of the system. In this work, particle swarm optimization (PSO) is proposed to adjust the parameters (Kp, Ki) of the speed controller in order to improve the performance of the system, and run the machine at reference speed.

We deal with RLCG electrical circuits with randomly varied potential source parameter. To model the situation we use the theory of stochastic differential equations, namely the Itˆo stochastic calculus. Our aim is to find the differences between the influences of the white noise and the colored noise on RLCG electrical circuit. In our examples we compute and illustrate the deterministic solutions and the corresponding confidence intervals for the stochastic solutions. Numerical simulations in the examples are carried out using Matlab.