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The article presents the problem of robust allocation of resources in a Resource - Constrained Project Scheduling Problem. It discusses the importance of robust scheduling for execution of actual projects. The issue of resource allocation is analysed for a model project, with indication of allocation principles, which may influence the increase in robustness of the obtained resource allocation network. The author also proposes measures for resource allocation robustness that take into consideration the influence of prolonging individual tasks on the stability of the schedule completed. Those measures make it possible to carry out a more precise analysis concerning the properties of the schedule with resource allocation in terms of its susceptibility to disruption in comparison to a flexibility indicator, flex, that has been applied so far in research.
Proteins are responsible for all biological activities in living organisms. Thanks to genome sequencing projects, large amounts of DNA and protein sequence data are now available, but the biological functions of many proteins are still not annotated in most cases. The unknown function of such non-annotated proteins may be inferred or deduced from their neighbors in a protein interaction network. In this paper, we propose two new methods to predict protein functions based on network neighborhood properties. FunPred 1.1 uses a combination of three simple-yet-effective scoring techniques: the neighborhood ratio, the protein path connectivity and the relative functional similarity. FunPred 1.2 applies a heuristic approach using the edge clustering coefficient to reduce the search space by identifying densely connected neighborhood regions. The overall accuracy achieved in FunPred 1.2 over 8 functional groups involving hetero-interactions in 650 yeast proteins is around 87%, which is higher than the accuracy with FunPred 1.1. It is also higher than the accuracy of many of the state-of-the-art protein function prediction methods described in the literature. The test datasets and the complete source code of the developed software are now freely available at http://code.google.com/p/cmaterbioinfo/.
In-process for a decision task of prognostication of casual sequence of change of the state of the technical system information technology of determination of optimum values of interval of aftereffect and order of nonlinear connection of the probed casual sequence is proposed. The algorithm of extrapolation and technology calculate its optimum performance are based on nonlinear canonical decomposition.
An algorithm for determination of threshold value in extruded products by the method of maximum increments: modi􀂿 cation of Otsu method. There are presented the results of comparative analysis of threshold value determination in the extruded products with the use of developed new algorithm. The original and modi􀂿 ed Otsu algorithms were compared. In calculations of porosity indices of the extrudate cross section, the threshold values determined automatically with the use of investigated algorithms were compared with indications of an experts’ panel. The results of threshold value calculated with the use of the proposed algorithm were closer to values indicated by the expert panel, than that obtained with the use of comparative algorithms. However, the proposed method tends to overstate the threshold value; in some cases it can cause losing the pores of small lacunarity on the bit map calculated by this method.
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