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High-rate low-density parity-check (LDPC) codes are the focus of intense research in magnetic recording because, when decoded by the iterative sum-product algorithm, they show decoding performance close to the Shannon capacity. However, cycles, especially short cycles, are harmful to LDPC codes. The paper describes the partition-and-shift LDPC (PS-LDPC) codes, a new class of regular, structured LDPC codes that can be designed with large girth and arbitrary large minimum distance. Large girth leads to more efficient iterative decoding and codes with better error-floor properties than random LDPC codes. PS-LDPC codes can be designed for any desired column weight and with flexible code rates. The paper details the girth and distance properties of the codes and their systematic construction and presents analytical and simulation performance results that show that, in the high signal-to-noise ratio region, PS-LDPC codes out- perform random codes, alleviating the error floor phenomenon. [ABSTRACT FROM AUTHOR]

In this paper, the different working structure and unique design of the E-Core Transverse Flux Machine that is combined of transverse flux and reluctance principle is investigated for training bike application. Also, static magnetic characteristics of the machine are obtained with finite element analysis and experimental measurements. The modeling of the E-Core Transverse Flux Machine and its driver system are given. The whole system with all control algorithms for a training bike application is simulated and the performance curves are presented. Finally, the experimental tests done at the laboratory for the indoor training bike application are compared and verified with the results of the simulation. [ABSTRACT FROM AUTHOR]

Many classification algorithms and econometric models require that training examples contain only discrete values. In order to use these algorithms when some variables have continuous values, the numeric variables must be converted into discrete ones. This paper describes a new way of discretizing numeric values using multiple structural changes. [ABSTRACT FROM AUTHOR]

This paper presents general information on simulation with Pareto distribution and introduces an algorithm to generate random numbers by simulation method. A computer code has been developed for this algorithm by using Delphi programming language. Ten thousand random numbers for Pareto distribution have been generated using this program, and the chi-square goodness-of-fit at five percent significance level has been performed. [ABSTRACT FROM AUTHOR]