Machine learning algorithms enable computers to learn from data and continuously enhance performance without explicit programming. Machine learning algorithms have significantly improved the accuracy and efficacy of t...
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In this technology fueled world, everyone is using smart devices, electronic gadgets, wireless products etc. and huge amounts of data are being generated, collected, and stored in the databases. To efficiently process...
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The burgeoning field of text analysis has been significantly enriched by the integration of creative computting methodologies. This research introduces a novel approach to multi-dimensional text analysis through the d...
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Analysis of large website log big data, can effectively get the user access website various related report data, such as website click rate, each country IP address, extract and splicing log key fields, etc., by refin...
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Images captured in low-light settings often manifest issues, notably reduced brightness and amplified noise. Addressing these concerns, our research elucidates a sophisticated technique crafted to enhance the fidelity...
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ISBN:
(纸本)9798350309461
Images captured in low-light settings often manifest issues, notably reduced brightness and amplified noise. Addressing these concerns, our research elucidates a sophisticated technique crafted to enhance the fidelity of images taken under such adverse circumstances. During the image acquisition phase, the camera sensor meticulously logs the raw RGB data. This information subsequently undergoes a comprehensive optimization and refinement process facilitated by the camera's Image Signal Processor (ISP), culminating in the finalized RGB depiction. We delve deeply into the intricacies of the ISP processing trajectory and unveil a methodology termed PLET (Patch-Based Low-light Enhancement Transformer), dedicated to refining low-light image quality to mirror that of well-lit conditions. For an intricate processing and comprehensive analysis of the image constituents, we employ the image patch approach, achieving not only pinpointed image refinement but also a profound comprehension of image content. Rigorous experimental assessments reveal that our approach excels in elevating image luminance and curtailing noise, cementing its efficacy in low-light image enhancement endeavors.
With the continuous improvement of people's demand for housing, the rational planning of indoor space has become a current research boom. This research aims to explore the intelligent design system of indoor space...
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Swarm optimization algorithms are becoming increasingly popular for data transmission over wireless networks. This is due to the ability of these algorithms to reduce data transmission time as compared to traditional ...
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A data-intensive rasterized platform based on high energy physics is a cluster composed of 1600 CPU cores and 600 TB hard disks. This paper introduces a HRD data storage system based on Gluster theory. The software of...
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The practice of conveying medical records to either a Third-Party Cloud Service (TCS) for backups has become increasingly popular in recent decades at least as the healthcare Internet of things has expanded. However, ...
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In storage systems, there are heat differences between data. Traditional algorithms such as LRU are limited by specific data structures. These methods cannot be well applied to industrial big data storage systems. Met...
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ISBN:
(纸本)9781665475785
In storage systems, there are heat differences between data. Traditional algorithms such as LRU are limited by specific data structures. These methods cannot be well applied to industrial big data storage systems. Methods based on "temperature" are usually limited by static parameters and it is unable to adapt to dynamic load. Based on Newton's law of cooling, we proposed an identification model called AdjustDTM, with adjustable parameters. Our method identifies the hot and cold by assigning the attribute "temperature" to the data. Then, the model can dynamically adjust the parameters according to accessing interval and frequency. Our model can also preheat the correlative data. Finally, The experimental results showed that the hit rate of AdjustDTM is higher than other strategies.
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