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Content available Tabu Search Against Permutation Based Stream Ciphers
EN
Encryption is one of the most effective methods of securing data confidentiality, whether stored on hard drives or transferred (e.g. by e-mail or phone call). In this paper a new state recovery attack with tabu search is introduced. Based on research and theoretical approximation it is shown that the internal state can be recovered after checking 2⁵² internal states for RC4 and 2¹⁸⁰ for VMPC.
EN
Peat bog deposits provide a very important record of past environmental conditions, preserving biotic and abiotic processes that occurred in the vicinity of the bog. In this study, we examined three peat bog profiles from Kietrz, located in the micro-region of the Głubczycki Plateau, southern Poland. The objective of this study was to determine the type of peat occurring in this area, through examination of its mineral composition, and evaluation of the total carbon and total sulphur content. In addition, we measured peat reaction (pH) and identified floral and faunal components occurring within the peat deposits. The peat comprises primarily of fragments of fossilized plant and mollusk remains, as well as minerals (calcium sulphates, calcium carbonates, and pyrites). Additionally, an assemblage of iron oxides/hydroxides, Kfeldspar, apatite, zircon, and quartz grains was identified. A neutral and/or light alkalinity was recorded for the peat deposits, but an increase in acidity (pH) with increasing depth through each peat profile was also recorded. We observed a positive correlation between the pH and chemical composition of deposits, where a significant presence of calcite is associated with higher reaction (higher pH), whilst a lower pH is characteristic for sediments where carbonates are rare. The recognized species of mollusks are typical of shallow, fresh-water stagnant reservoirs with a high fluctuation of water level.
EN
This paper describes the pattern recognition system for analysis of multidimensional data, based on natural meta-heuristics. The system consists of tree modules: preprocessing, feature extraction and clustering. Feature extraction module is based on Molecular Dynamic (MD). In clustering are used two natural methods: Simulated Annealing (SA) and Taboo Search (TS). The system is used to analyze an evolving population of individuals equipped with 'genetic codes'. Clustering module extracts groups of data with similar genetic code named clusters and make of possible to observe their geographical localization. The feature extraction verifies the clustering and allows analyzing of clustering patterns, their shapes and the distances between them.
EN
Tabu search is a simple, yet powerful meta-heuristic based on local search that has been often used to solve combinatorial optimization problems like the graph coloring problem. This paper presents current taxonomy of parallel tabu search algorithms and compares three parallelization techniques applied to Tabucol, a sequential TS algorithm for graph coloring. The experirnental results are based on graphs available from the DIMACS benchmark suite.
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