The Finite Transmission Feedback Information (FTFI) capacity is characterized for any class of channel conditional distributions { PBi|Bi−1,Ai : i= 0,1, . . . ,n } and { PBi|Bi−1 i−M ,Ai : i= 0,1, . . . ,n } , where M is the memory of the channel, Bn 4 = {B j : j = 0,1, . . . ,n} are the channel outputs and An 4 = {A j : j = 0,1, . . . ,n} are the channel inputs. The characterizations of FTFI c...

For a number of linear systems of equations arising from realistic problems, using the Bi-CGSTAB algorithm of van der Vorst [17] to solve these equations is very attractive. Unfortunately, for a large class of equations, where, for instance, Bi-CG performs well, the convergence of BiCGSTAB stagnates. This was observed specifically in case of discretized advection dominated PDE’s. The stagnation...

The Bioinformatics (BI) is a sequence alignment, usually three sequences which can be RNA, DNA and proteins. Because the three or more given sequences can be of large lengths, aligning them by hand can be time consuming and in some cases traditionally impossible. Thus BI comes into use thereby aligning each sequence, and revealing the similar part of the given gene. BI finds great use in bioinf...

We study a variant of the two-phase method for general bi-objective combinatorial optimization problems. First, we analyze a basic enumerative procedure, often used in literature to solve specific bi-objective combinatorial optimization problems, making it suitable to solve general problems. We show that the procedure generates the exact set E of efficient points by solving exactly 2|E| − 1 sin...

In this paper, we propose an unsupervised learning framework based on Genetic Programming (GP) to predict the position of any particular target event (defined by the user) in a time-series. GP is used to automatically build a library of candidate temporal features. The proposed framework receives a training set S = {(Va)|a = 0...n}, where each Va is a time-series vector such that ∀Va ∈ S, Va = ...

The physical origin and the nature of superconductivity in nanostructured Bi remains puzzling. Here, we report transport measurements of individual cylindrical single-crystal Bi nanowires, 20 and 32 nm in diameter. In contrast to nonsuperconducting Bi nanoribbons with two flat surfaces, cylindrical Bi nanowires show superconductivity below 1.3 K. However, their superconducting critical magnetic...

Model-to-Model mapping should offer the advantage of fully operational bi-directional mapping between different models or formalisms that share some common properties. However in reality this is not easily achievable. It is acknowledged that previous work was presented where it was shown how Triple Graph Grammars are useful to achieve the mapping. UML 2 activities share some similarities with P...

The asymmetric unit of the ionic title compound, (C(6)H(7)N(2)O)[Bi(C(7)H(3)NO(4))(2)(H(2)O)(2)]·H(2)O or (acpyH)[Bi(pydc)(2)(H(2)O)(2)]·H(2)O, contains an [Bi(pydc)(2)(H(2)O)(2)](-) anion (where pydcH(2) is pyridine-2,6-dicarb-oxy-lic acid), a protonated 3-(amino-carbon-yl)pyridine as counter-ion, (acpyH)(+), and one uncoordinated water mol-ecule. The anion is an eight-coordinate complex with ...