3,804 research outputs found

    Design and Implementation of a Lossless Serial High-Speed Data Compression System

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    The paper presents a novel VLSI architecture for high-speed data compressor designs which implement the X-Match algorithm. This design involves important trade off that affects the compression performance, latency, and throughput. The most promising approach is implemented into FPGA hardware. This device typical compression ratio that halves the original uncompressed data. This device is specifically targeted to enhance the performance of Gbits/s data networks and storage applications where it can double the performance of the original systems. To get high compression rate or to get high data rate of communication not restriction to follow the parallel architecture of data compression. By using existing method the main draw backs are 1. Variation in compression 2. Throughput, 3.Latency, 4.High space, 5. High power. So by using this proposed method we can reduce the variation in the compression, latency and increase through put. And this novel VLSI architecture has a power consumption of 81mwatts powe

    A Novel Method of Butterfly Optimization Algorithm for Load Balancing in Cloud Computing

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    Cloud computing is frequently alluded to as a model that furnishes boundless information handling conveniences with a compensation for each utilization framework. Present day cloud foundations resources as virtual machines (VMs) to actual machines utilizing virtualization innovation. All VMs works their involved structure and exhaust resources from their actual machine which behaves like a host. For load adjusting, Cloud moves VMs from exceptionally troubled real machines to low troubled actual machines. The delay of this calculation expansions in the organization as virtual machines are relocated. This work puts forward a new algorithm, namely Butterfly optimization for VM migration. The proposed optimization algorithm has been implemented in the MATLAB software.  A comparative analysis is performed between the outcomes of the preceding and the new algorithm.  The proposed algorithm has been evaluated over three performance parameters including delay, bandwidth used, and space used

    Large-amplitude chirped coherent phonons in tellurium mediated by ultrafast photoexcited carrier diffusion

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    We report femtosecond time-resolved reflectivity measurements of coherent phonons in tellurium performed over a wide range of temperatures (3K to 296K) and pump laser intensities. A totally symmetric A1_{1} coherent phonon at 3.6 THz responsible for the oscillations in the reflectivity data is observed to be strongly positively chirped (i.e, phonon time period decreases at longer pump-probe delay times) with increasing photoexcited carrier density, more so at lower temperatures. We show for the first time that the temperature dependence of the coherent phonon frequency is anomalous (i.e, increasing with increasing temperature) at high photoexcited carrier density due to electron-phonon interaction. At the highest photoexcited carrier density of \sim 1.4 ×\times 1021^{21}cm3^{-3} and the sample temperature of 3K, the lattice displacement of the coherent phonon mode is estimated to be as high as \sim 0.24 \AA. Numerical simulations based on coupled effects of optical absorption and carrier diffusion reveal that the diffusion of carriers dominates the non-oscillatory electronic part of the time-resolved reflectivity. Finally, using the pump-probe experiments at low carrier density of 6 ×\times 1018^{18} cm3^{-3}, we separate the phonon anharmonicity to obtain the electron-phonon coupling contribution to the phonon frequency and linewidth.Comment: 22 pages, 6 figures, submitted to PR

    Formulation and error analysis for a generalized image point correspondence algorithm

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    A Generalized Image Point Correspondence (GIPC) algorithm, which enables the determination of 3-D motion parameters of an object in a configuration where both the object and the camera are moving, is discussed. A detailed error analysis of this algorithm has been carried out. Furthermore, the algorithm was tested on both simulated and video-acquired data, and its accuracy was determined

    Computer Simulation of Cytoskeleton-Induced Blebbing in Lipid Membranes

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    Blebs are balloon-shaped membrane protrusions that form during many physiological processes. Using computer simulation of a particle-based model for self-assembled lipid bilayers coupled to an elastic meshwork, we investigated the phase behavior and kinetics of blebbing. We found that blebs form for large values of the ratio between the areas of the bilayer and the cytoskeleton. We also found that blebbing can be induced when the cytoskeleton is subject to a localized ablation or a uniform compression. The results obtained are qualitatively in agreement with the experimental evidence and the model opens up the possibility to study the kinetics of bleb formation in detail.Comment: To appear in Physical Review

    Genotypic, phenotypic variability and evaluation of okra [Abelmoschus esculentus (L.) Moench] genotypes for yield components

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    Okra [Abelmoschus esculentus (L.) Moench] is India's major vegetable crop, accounting for 60% of exports. Comparatively, Tamil Nadu has a small area of cultivation and production. Hence, the present study involves the utilizatization of simple measure of variability and genetic variance to develop new varieties. The experiment was conducted with 60 genotypes of okra crop using 20 quantitative traits. The analysis of variance found that genotypes were significant (P 0.05 and P 0.01) for all of the traits tested. The fruit yield plant-1 ranged from 176.40 to 438.40 g, with 347.42 g being the average. In all the traits studied, the phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV). The closeness of PCV and GCV values suggested that the environment had little influence on manifestation of the characters under examination. GCV (1.89-13.98) and PCV (4.06-16.61) levels were found to be moderate (10-20) and low (<10), respectively, in the study. Heritability ranged from 21.73 (days to first fruit harvest) to 97.19 (plant height) percent. At 5% selection intensity, the genetic advance (GA)% mean ranged from 1.82 (days to first fruit harvest) to 27.38 (plant height). Plant height (13.68, 13.48), internodal length (16.61, 13.98), first fruiting node (13.00, 10.89), number of fruits plant-1 (13.19, 11.91), number of marketable fruits plant-1 (13.36, 11.97) and fruit yield plant-1 (13.75, 12.29) showed high heritability and high GA% mean. Thus, the above-mentioned characteristics are additive genetic control and direct selection in okra has good potential for improvement in fruit yield

    Meiotic failure in cyclin A1-deficient mouse spermatocytes triggers apoptosis through intrinsic and extrinsic signaling pathways and 14-3-3 proteins

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    Cyclin A1 (Ccna1), a member of the mammalian A type cyclins, is most abundantly expressed in spermatocytes and is essential for spermatogenesis in the mouse. Ccna1- deficient spermatocytes arrest at late meiotic prophase and undergo apoptosis. To further delineate the mechanisms and key factors involved in this process, we have examined changes in expression of genes involved in both intrinsic and extrinsic signaling pathways that trigger apoptosis in the mutant spermatocytes. Our results show that both pathways are involved, and that the factors involved in the intrinsic pathway were expressed earlier than those involved in the extrinsic pathway. We have also begun to identify in vivo Ccna1- interacting proteins, using an unbiased biochemical approach, and identified 14-3-3, a key regulator of apoptosis, as a Ccna1-interacting protein. Expression levels of 14-3-3 proteins remain unchanged between wild type and mutant testes but there were differences in the subcellular distribution. In wild type control, 14-3-3 is detected in both cytosolic and nuclear fractions whereas it is restricted to the cytoplasm in mutant testes. This differential distribution of 14-3-3 may contribute to the induction of apoptosis in Ccna1-deficient spermatocytes. These results provide insight into the apoptotic mechanisms and pathways that are triggered when progression through the meiotic cell cycle is defective in male gametogenesis
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