We present a method for calculating phase diagrams for the high dimensional variant of the Self Organizing Map SOM The method requires only an ansatz for the tesselation of the data space induced by the map not for the explicit state of the map Using this method we analyze two recently proposed models for the development of orientation and ocular dominance column maps The phase transition condi...

This paper presents a parallel genetic algorithm for three dimensional bin packing with heterogeneous bins using Hadoop Map-Reduce framework. The most common three dimensional bin packing problem which packs given set of boxes into minimum number of equal sized bins is proven to be NP Hard. The variation of three dimensional bin packing problem that allows heterogeneous bin sizes and rotation o...

Proteomics enables understanding the composition, structure, function and interactions of the entire protein complement of a cell, a tissue, or an organism under exactly defined conditions. Some factors such as stress or drug effects will change the protein pattern and cause the present or absence of a protein or gradual variation in abundances. Changes in the proteome provide a snapshot of the...

Recent wireless communication standards such as 3GPP-LTE, WiMax, DVB-SH, HSPA and LTE / LTE advanced incorporate turbo code for their excellent performance. In this paper, we present a new 3 dimensional turbo decoder including bit error rate (BER) is much better than the 2 dimensional turbo decoder used by LTE / LTE advanced, as is illustrated by simulation. We also address the issue of the imp...

forests as one of the most important terrestrial ecosystems provide many ecosystem services that almost there is no market to present their values. among this non market services, gas regulation has a significant importance. plants absorb co2 and use it in photosynthesis process. this process, in addition to producing plant biomass and releasing o2, has the effective role in reducing the greenh...

Objective: In this research, a new approach termed as “evolutionary-based brain map” is presented as a diagnostic tool to classify schizophrenic and control subjects by distinguishing their electroencephalogram (EEG) features.Methods: Particle swarm optimization (PSO) is employed to find discriminative frequency bands from different EEG channels. By deploying the energy of those selected fr...

Color is one of the most effective visual variabks since it can be combined with other mappings and encode ilifonnation without using any adtational space on the display. An important exampk when expnssing additional visutJJ dimensions is dinly neetkd is the analysis of high-dimensionJJl dtlta. The property of perceptual linearity is tksirabk in this applicatio1t, because the user intu:itively ...

A variant of the Hénon map is described in which the linear term is replaced by one that involves a much earlier iterate of the map. By varying the time delay, this map can be used to explore the transition from low-dimensional to high-dimensional dynamics in a chaotic system with minimal algebraic complexity, including a detailed comparison of the Kaplan-Yorke and correlation dimensions. The h...

We analyze the size limits of coupled map lattices with diffusive coupling at the crossover of low-dimensional to high-dimensional chaos. We investigate the existence of standing-wave-type periodic patterns, within the low-dimensional limit, in addition to the stable synchronous chaotic states depending upon the initial conditions. Further, we bring out a controlling mechanism to explain the em...

Self-organising artificial neural networks were used to reduce the complexity of joint kinematic and kinetic data, which form part of a typical instrumented gait assessment. Three-dimensional joint angles, moments and powers during the gait cycle were projected from the multi-dimensional data space onto a topological neural map, which thereby identified gait stem-patterns. Patients were positio...