In the past few years, with the continuous development of deep reinforcement learning, the application of deep reinforcement has been set off within the realms of self-driving vehicle technology, game games, and natur...
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This research discusses about the implementation of blockchain technology to enhance transparency and food safety by tracking food products from source to consumption. With growing concerns about food safety and fraud...
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ISBN:
(数字)9798350359299
ISBN:
(纸本)9798350359305
This research discusses about the implementation of blockchain technology to enhance transparency and food safety by tracking food products from source to consumption. With growing concerns about food safety and fraud, there is a need for an efficient and secure system that can trace the journey of food products and provide accurate information to consumers. Blockchain technology offers a decentralized and immutable ledger that can record and verify every transaction in the food supply chain. By utilizing blockchain, all relevant stakeholders including farmers, suppliers, manufacturers, distributors, and retailers can input and access data at each stage, ensuring transparency and real-time visibility. This enables consumers to have access to reliable information about the origin, quality, and safety of the food they consume. Additionally, blockchain can provide a robust mechanism for detecting and preventing food fraud, as any attempt to tamper with the recorded data will be immediately detected. Implementation of blockchain technology in the food industry holds great promise for ensuring food safety and transparency, empowering consumers to make informed choices about the products they purchase and consume.
Comprehensive spectrum information is provided by hyperspectral imaging and is necessary for data processing and remote sensing. Yet, efficient categorization is hampered by its great dimensionality and intricate spec...
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Speech enhancement is essential to front-end speech signal processing, which can effectively improve speech quality and clarity. Complex spectral masking and complex spectral mapping are the main methods for speech en...
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Artificial Intelligence (AI) is transforming robotic cleaning systems to be more efficient, safe, and adapt in various environments, including public spaces and industrial facilities. The novelty of these systems is t...
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Emerging non-volatile memory(NVM) technologies promise high density, low cost and dynamic random access memory(DRAM)-like performance, at the expense of limited write endurance and high write energy consumption. It is...
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Emerging non-volatile memory(NVM) technologies promise high density, low cost and dynamic random access memory(DRAM)-like performance, at the expense of limited write endurance and high write energy consumption. It is more practical to use NVM combining with the traditional DRAM. However, the hybrid memory management such as page migration becomes more challenging in a virtualization environment because virtual machines(VMs) are unaware of the memory heterogeneity. In this paper, we propose HMvisor, a hypervisor and VM coordinated hybrid memory management mechanism to better utilize DRAM and NVM resources. HMvisor exposes the memory heterogeneity to VMs by mapping virtual NUMA nodes to different physical NUMA nodes. We propose a lightweight and efficient page migration mechanism by decoupling page hotness tracking from page migration. HMvisor performs those operations in the hypervisor and VMs separately, without disrupting the execution of VMs. We also propose a memory resource trading policy to adjust the capacity of DRAM and NVM for each VM, with the monetary cost unchanged. We implement our prototype system based on QEMU/KVM and evaluate it with several benchmarks. Experimental results show that HMvisor can reduce 50% of write traffic to NVM with less than 5% performance overhead. Moreover, the hybrid memory adjustment scheme in HMvisor can significantly improve application performance by up to 30×.
The use of Generative AI applications in academia, such as ChatGPT, Bard and Perplexity among others is growing at a rapid pace. With its rise, certain ramifications are being felt in regards to the quality and correc...
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To solve the problems of low accuracy, high cost, and poor efficiency in image retrieval of ethnic minority costumes, a deep hash image retrieval method combining image generation and image enhancement technologies is...
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The integration of Distributed Energy Resources (DER) imposes challenges to the operation of distribution networks. This paper conducts a systematic assessment of the impact of DER on distribution network overcurrent ...
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In the agricultural sector, smallholder farmers in India face significant challenges with post-harvest losses, fluctuating market prices, and unsustainable practices. This research proposes a mobile-based application ...
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