This paper presents a method for positioning an electric drive with an elastic mechanical part by applying the inverse problem of dynamics. The presented assumptions take into account technological requirements and limitations of dynamic variables. The desired trajectory of the mechanical part of the electromechanical system has also been determined. On this basis, an algorithm for determining the control voltage waveform is proposed.

The article presents principles of optimizing the parameters of structural elements Geffe generator. The quality of this optimization is confirmed by statistical tests package NIST STS. The article provides methodology for research into the settings of the output signals of the Poisson pulse sequence generators using Pearson’s chi-squared test.

In this paper, an O(n) parallel algorithm is presented for unranking set partitions in Hutchinson’s representation. A simple sequential algorithm is derived on the basis of a dynamic programming paradigm. In the parallel algorithm, processing is performed in a dedicated parallel architecture combining certain systolic and associative features. The algorithm consists of two phases. In the first phase, a coefficient table is created by systolic computations. Then, n subsequent elements of a partition codeword are computed, in O(1) time each, through associative search operations.

This article describes a new ant colony optimisation algorithm for the discrete knapsack problem with a new heuristic pattern, based on the ratio of the square of the profit coefficient to the square of the weight coefficient of the original problem. This new heuristic is used in order to choose objects that should be packed into the knapsack. This pattern was compared with two used in ant algorithms and which have been presented in the literature on the subject of ant colony optimisation algorithms for the 0-1 Knapsack Problem. The two other patterns are based on the ratio of the profit coefficient to the weight coefficient multiplied respectively by the total and the current knapsack load capacity. Results of tests under a width range of ant algorithm parameters such as the number of cycles, the number of ants, the evaporation rate, and the load knapsack capacity are shown and discussed.

Fuzzy logic is based on the use of natural language such as ‘far or close’, ‘cold or hot’ and etc. Its application range is very wide, from household appliances to the management of complex industrial processes. Many modern management tasks cannot be simply solved by classical methods because of the very great complexity of mathematical models. However, mathematical transformations are required for using the fuzzy logic theory on a computer and give a possibility to convert linguistic variables to their numerical value in the computer and vice versa. In this paper a gantry and bridge crane control system for managing carts swinging during transporting a load with high accuracy positioning during movement is presented. T-Controller fuzzy inference system as a base for crane management system is described and its main advantages in comparison with traditional systems are delineated. Schema of simplified crane model is introduced.

In this paper, the possibility of lambda expressions and methods for their effective use in C++ code in the new C++11 standard have been presented. Studies that compare the execution times of the program and use lambda expressions as well as classical methods have been conducted. The results confirm the effectiveness of lambda expressions with respect to traditional methods.

In this paper, a new method of stream encoding and decoding is presented. It is developed on the basis of a derangement generator. Stream cipher D has been compared with other stream ciphers – E0, W7 and Phelix. Encoding and decoding algorithms have been implemented in C++ and VHDL programming languages. FPGA synthesis data has been reported for Spartan 3E and Virtex 4 devices from Xilinx. The hardware solution has been tested on the Digilent Nexys 2 500K board. Subsequently, comparative studies have been conducted for software and hardware coders, taking into account average coding time and average throughput for 16 input data files of different sizes. Conclusions resulting from the research are derived.

This paper describes the problems relating to the complexity of modern waste management systems. We present a new approach to selecting a better waste management solution. For a large and complex system it is extremely difficult to describe the entire system by a precise mathematical model. Therefore, we propose the use of Fuzzy Cognitive Maps (FCM), its combination with the Bacterial Evolutionary Algorithm (BEA) and the system of systems approach to support the planning and decision making process of integrated systems.