567 research outputs found

    APPROXIMATE COMPUTING BASED PROCESSING OF MEA SIGNALS ON FPGA

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    The Microelectrode Array (MEA) is a collection of parallel electrodes that may measure the extracellular potential of nearby neurons. It is a crucial tool in neuroscience for researching the structure, operation, and behavior of neural networks. Using sophisticated signal processing techniques and architectural templates, the task of processing and evaluating the data streams obtained from MEAs is a computationally demanding one that needs time and parallel processing.This thesis proposes enhancing the capability of MEA signal processing systems by using approximate computing-based algorithms. These algorithms can be implemented in systems that process parallel MEA channels using the Field Programmable Gate Arrays (FPGAs). In order to develop approximate signal processing algorithms, three different types of approximate adders are investigated in various configurations. The objective is to maximize performance improvements in terms of area, power consumption, and latency associated with real-time processing while accepting lower output accuracy within certain bounds. On FPGAs, the methods are utilized to construct approximate processing systems, which are then contrasted with the precise system. Real biological signals are used to evaluate both precise and approximative systems, and the findings reveal notable improvements, especially in terms of speed and area. Processing speed enhancements reach up to 37.6%, and area enhancements reach 14.3% in some approximate system modes without sacrificing accuracy. Additional cases demonstrate how accuracy, area, and processing speed may be traded off. Using approximate computing algorithms allows for the design of real-time MEA processing systems with higher speeds and more parallel channels. The application of approximate computing algorithms to process biological signals on FPGAs in this thesis is a novel idea that has not been explored before

    Physics-informed deep learning for three dimensional black holes

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    According to AdS/DL (Anti de Sitter/ Deep Learning) correspondence given by \cite{Has}, in this paper with a data-driven approach and leveraging holography principle we have designed an artificial neural network architecture to produce metric field of planar BTZ and quintessence black holes. Data has been collected by choosing minimally coupled massive scalar field with quantum fluctuations and try to process two emergent and ground-truth metrics versus the holographic parameter which plays role of depth of the neural network. Loss or error function which shows rate of deviation of these two metrics in presence of penalty regularization term reaches to its minimum value when values of the learning rate approach to the observed steepest gradient point. Values of the regularization or penalty term of the quantum scalar field has critical role to matching this two mentioned metric. Also we design an algorithm which helps us to find optimum value for learning parameter and at last we understand that loss function convergence heavily depends on the number of epochs and learning rate.Comment: 28 pages, 1 table and 13 figures, extension with quintessenc

    Banana Peel as Removal Agent for Sulfide from Sulfur Springs Water

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    Banana peel which consider as fruit waste has been tested  for the removal of total sulfide from spring water in Heet area, Iraq. The chemical composition of peels was investigated. The results  show that the composition consists of  Sodium ,Potassium, Calcium ,Manganese and Phosphate and concentrations of these contents were 18.2mg/g, 62mg/g,15.4mg/g ,48mg/g and 0.37 mg/g , respectively. The alkalinity of peels was 5.2 mg/g and the moisture content was 5.8 % . The treatment efficiency was studied as a function of the retention time and  concentration of sulfide ion .The maximum sorption for sulfide was found to be 97% and it was nearly effective as activated carbon. As a result of the removal process , the concentrations of  some common anions ,cations and heavy metals (Mg+2,Ca+2,Na+,So4-2,cl-Po4-2, Cr, Fe, Ni, Cu and Zn) decreased ,the concentrations of K+ and Mn increased . Increasing of concentrations of K+ and Mn is attributed to their high content in the banana peels. A slight increase in pH of the treated water (6.5 – 7.5). This study revealed that  the treatment of water using the banana peel is most effective for removal of hydrogen sulfide from sulfur  spring water. Keywords: Sulfide removal, banana peel, sorbent, peel mineral content ,sulfur, spring wate

    Effects of quintessence dark energy on the action growth and butterfly velocity

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    In this work we are about to investigate the effects of quintessence dark energy on evolution of the computational complexity relating to the AdS/CFT correspondence. We use "complexity=action""complexity=action" conjecture for a charged AdS black hole surrounded by the dark energy at the quintessence regime. Then we try to find some conditions on the quintessence parameters where the Lloyd bound is satisfied in presence of affects of the quintessence dark energy on the complexity growth at the late time approximations. We compare late time approximation of the action growth by perturbed geometry in small limits of shift function. Actually we investigate the evolution of complexity when thermofield double state on the boundaries is perturbed by local operator corresponding to a shock wave geometry as holographically. Furthermore we seek spread of local shock wave on the black hole horizon in presence of the quintessence dark energy.Comment: 17 pages, 1 figure with some revision

    Complexity growth and shock wave geometry in AdS-Maxwell-power-Yang-Mills theory

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    We study effects of non-abelian gauge fields on the holographic characteristics for instance the evolution of computational complexity. To do so we choose Maxwell-power-Yang-Mills theory defined in the AdS space-time. Then we seek the impact of charge of the YM field on the complexity growth rate by using complexity=actioncomplexity=action (CA) conjecture. We also investigate the spreading of perturbations near the horizon and the complexity growth rate in local shock wave geometry in presence of the YM charge. At last we check validity regime of Lloyd bound.Comment: 18 pages, 2 Figures and improved with some additional sentence
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