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Hybrid FE-FFTM Algorithm for Micromagnetic Modeling of Perpendicular SOMA Media

IEEE Transactions on Magnetics, 2006

This paper presents numerical simulation of the write and read process based on self-organized magnetic array (SOMA) media to study the particle-array misalignment effects on recording performances. The simulation is based on a three-dimensional finite element micromagnetic model of the media and an analytical model of the single pole perpendicular recording write field. The physical problem is modeled with a ...


Image Fusion Based on Hybrid SPIHT and SOMA

2016 International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), 2016

In this paper a fuzzy-type-image-fusion technique using hybrid SPIHT and SOMA. This method shows fusion of images and can be used for fusion of multi model image. It is concluded that fusion with advanced single levels offers better fusion quality. This method provides a comparative study between proposed & literature techniques and validation of the projected algorithm as Peak Signal ...


Hybrid finite element and fast Fourier on multipoles algorithm for micromagnetic modeling of perpendicular SOMA media

2006 IEEE International Magnetics Conference (INTERMAG), 2006

In this paper, a 3D finite element micromagnetic model is used to simulate the switch dynamics of Self-Organized Magnetic Array (SOMA) recording system. The influence of media grain properties such as anisotropy field distribution is investigated. Our studies also include the signal to noise ratio (SNR) with respect to different bit-array alignments. The fluctuations of signal and noise are investigated ...


Self-Organizing Migrating Algorithm Team To Team Adaptive – SOMA T3A

2019 IEEE Congress on Evolutionary Computation (CEC), 2019

Swarm intelligence algorithm and its variants are constantly evolving over the years, the SOMA algorithm is also not out of that trend. In this paper, we propose a novel strategy of SOMA, called SOMA T3A. The proposed algorithm is divided into three main processes, namely Organization, Migration, and Update. Migrants are selected from the initial population and migrate towards the ...


A Simulation Study of Firing Patterns based on Coupling Effect between Soma and Dendrite

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2006

The aim of this study is to investigate how firing patterns of neuron in hippocampus change with coupling effect between soma and dendrite via simulation of single neuron firings by a two-compartment (soma-dendrite) model. The results will help to understand how firing patterns relative to synaptic plasticity in further study. The neuron model used in this study consisted two compartments: ...


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IEEE-USA E-Books

  • Hybrid FE-FFTM Algorithm for Micromagnetic Modeling of Perpendicular SOMA Media

    This paper presents numerical simulation of the write and read process based on self-organized magnetic array (SOMA) media to study the particle-array misalignment effects on recording performances. The simulation is based on a three-dimensional finite element micromagnetic model of the media and an analytical model of the single pole perpendicular recording write field. The physical problem is modeled with a hybrid finite-element method-boundary- element method formulation, and the evaluation is accelerated using a new fast Fourier transform on multipoles method. The results show the lowest signal and signal-to-noise ratio occur at the best alignment situation, which is to be accepted as the intrinsic characteristic for SOMA media

  • Image Fusion Based on Hybrid SPIHT and SOMA

    In this paper a fuzzy-type-image-fusion technique using hybrid SPIHT and SOMA. This method shows fusion of images and can be used for fusion of multi model image. It is concluded that fusion with advanced single levels offers better fusion quality. This method provides a comparative study between proposed & literature techniques and validation of the projected algorithm as Peak Signal to Noise Ratio (PSNR), Root Mean Square Error (RMSE).

  • Hybrid finite element and fast Fourier on multipoles algorithm for micromagnetic modeling of perpendicular SOMA media

    In this paper, a 3D finite element micromagnetic model is used to simulate the switch dynamics of Self-Organized Magnetic Array (SOMA) recording system. The influence of media grain properties such as anisotropy field distribution is investigated. Our studies also include the signal to noise ratio (SNR) with respect to different bit-array alignments. The fluctuations of signal and noise are investigated under the condition that the transition location is shifted in a square assembled array.

  • Self-Organizing Migrating Algorithm Team To Team Adaptive – SOMA T3A

    Swarm intelligence algorithm and its variants are constantly evolving over the years, the SOMA algorithm is also not out of that trend. In this paper, we propose a novel strategy of SOMA, called SOMA T3A. The proposed algorithm is divided into three main processes, namely Organization, Migration, and Update. Migrants are selected from the initial population and migrate towards the selected Leader according to the organization process. The Step and PRT parameters are no longer fixed like in the original version; instead, they are adapted through each migration loop. The performance of the algorithm is proven on the 58 well-known benchmark problems from the CEC2013 as well as CEC2017 benchmark suites. The results are compared with the SOMA family and compared with the state-of-the-art algorithms to show its promising performance.

  • A Simulation Study of Firing Patterns based on Coupling Effect between Soma and Dendrite

    The aim of this study is to investigate how firing patterns of neuron in hippocampus change with coupling effect between soma and dendrite via simulation of single neuron firings by a two-compartment (soma-dendrite) model. The results will help to understand how firing patterns relative to synaptic plasticity in further study. The neuron model used in this study consisted two compartments: the soma compartment and the dendrite compartment, which can describe synaptic input functions. Simulations of neural firings were performed with fourth order Runge-Kutta algorithm with different range of coupling conductance. Firing patterns of neuron were simulated under different current applied to soma (Is). The range for different firing patterns is: Is=0 muA/cm2, range for spiking is [0.0, 1.8] and [4.5, infin], for bursting is [1.9,4.4]; Is=0.5 muA/cm2, range for spiking is [0.0, 2.2] and [4.0, infin], for bursting is [2.3,3.9]; Is=1.0 muA/cm2, range for spiking is [0.0, 2.5] and [3.6, infin], for bursting is [2.6,3.5]; Is=1.5 muA/cm2 , range for spiking is [0.0, 2.5] and [3.8, infin], for bursting is [2.6,3.7]; Is=2.0 muA/cm2, range for spiking is [0.0, 2.6] and [3.6, infin], for bursting is [2.7,3.5]; Is =2.5 muA/cm2, range for spiking is [0.0, 2.6] and [3.3, infin], for bursting is [2.7,3.2]

  • Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem

    In this paper, we are introducing a novel ensemble based adaptive strategy for the Self Organizing Migrating Algorithm (SOMA), namely the "Ensemble of Strategies and Perturbation Parameter in SOMA" (ESP-SOMA). The proposed algorithm as well as several other state of the art selected metaheuristic algorithms are utilized in the task of optimization of waste processing batch reactor geometry and control. Since there is a growing demand for intelligent and fast problem solution or optimal utilization of resources in modern industrial field, especially in the Industry 4.0 era, this paper represents an insight into the applicability and effectivity of modern adaptive state of the art metaheuristic optimization algorithms in the task of highly constrained industrial design optimization problem. The simple statistical comparison of the results given by three different metaheuristic algorithms is also reported here.

  • Low-Temperature Fabrication of Spiking Soma Circuits Using Nanocrystalline-Silicon TFTs

    Spiking neuron circuits consisting of ambipolar nanocrystalline-silicon (nc- Si) thin-film transistors (TFTs) have been fabricated using low temperature processing conditions (maximum of 250 °C) that allow the use of flexible substrates. These circuits display behaviors commonly observed in biological neurons such as millisecond spike duration, nonlinear frequency-current relationship, and spike frequency adaptation. The maximum drive capacity of a simple soma circuit was estimated to be approximately 9200 synapses. The effect of bias stress-induced threshold voltage degradation of component nc-Si TFTs on the spike frequency of soma circuits is explored. The measured power consumption of the circuit when spiking at 100 Hz was approximately 12 nW. Finally, the power consumption of the soma circuits at different spiking conditions and its implications on a large-scale system are discussed. The fabricated circuits can be employed as part of a compact multilayer learning network.

  • Atman - Eternal Driver for Temporarius Soma

    There is a silent and salient communication between mystify soul (Atman) and mind impacting the physical material body (Soma). It has been discussed over ages through spiritual texts, experimental and medical findings but still lacks scientific and mathematical explanation making it hard to understand. This paper makes efforts towards to bring quantum mechanics, spiritual healing and medical findings together and relating them to human health and beliefs.

  • Service oriented architecture design using SOMA for optimizing public satisfaction in government agency: Case study: BPN - National Land Authority of Indonesia

    Service oriented architecture (SOA) enables organizations to easily integrate systems, data, and business processes. Implementation of SOA solution in private sector is widely used and successfully proven to increase their profit. But there are different challenge in public sector which is not profit oriented and has different business model. In public sector, user satisfaction on government agencies is one of common indicator to measure quality of public service. This paper presents SOA solution for public sector using SOMA to conduct a service integration for optimizing public satisfaction. We also combined SWOT and Porter's Value Chain to support business modelling analysis. The result shows that there is a simplicity and feasibility for users to access the service after SOA integration, which improves user satisfaction.

  • 3D Cnn-Based Soma Segmentation from Brain Images at Single-Neuron Resolution

    Neuron segmentation is an important task for automatic analyses of brain images that are of huge volume. Previous methods for neuron segmentation rely on handcrafted image features, and have difficulty in coping with high- resolution, low signal-to-noise-ratio brain images. Convolutional neural network (CNN) has achieved remarkable success in natural image segmentation, but CNN requires accurately labeled data for training that are difficult to achieve on brain images of huge volume. In this paper, we present a weakly supervised learning strategy to deal with the inaccurate training data problem, and thus adopt 3D CNN to perform automatic soma segmentation from brain images. We test our method on our own collected mouse brain images that are of single-neuron resolution, and results show that 3D CNN-based method outperforms the traditional methods by a significant margin.



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