Deep learning-based services such as AI assistants and self-driving cars are of great interest in academia and industry because of their unrivaled performance. Because these services require high computing power, prov...
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ISBN:
(纸本)9781665462686
Deep learning-based services such as AI assistants and self-driving cars are of great interest in academia and industry because of their unrivaled performance. Because these services require high computing power, providing such services in mobile devices encounters several practical limitations like battery consumption, heat generation and high latency. To overcome this limitation, a mobile edge computing architecture that offloads computation has been proposed. We introduce 1) resource optimization method, 2) deep learning model optimization method, and 3) joint optimization method of resources and deep learning model as studies to support deep learning-based services under the MEC structure. In particular, joint optimization of resource and deep learning model is a promising solution to respond to dynamic environment changes of networks and devices more efficiently. At the end, we suggest further research topics to enable joint optimization of resource and deep learning model.
Education is a cornerstone of economic growth and development, especially in emerging nations. Its role has expanded significantly with the integration of informationtechnology. The requirement for educational instit...
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This paper uses Python and TensorFlow framework. Using low power computer Raspberry as model computing platform and sorting processing platform, the damaged parts identification system based on computer vision technol...
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Cloud computing is a technology that enables the delivery of computing services over the internet. This service model has been rapidly adopted as it offers many advantages such as cost savings, scalability and accessi...
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With the rapid development of social economy, science and technology, e-commerce and network, computer extends more and more content, in the era of big data, cloud computing has become an emerging field, multi-tenant,...
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Steganography is the process of concealing a message's real nature by enclosing it in other information. Due to their ubiquitous use on the internet, digital photographs are the most often utilised sort of carrier...
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Cloud computing has transformed global data infrastructure with unparalleled scale, flexibility, and accessibility. This study examines how cloud computing innovations have changed data storage, processing, and manage...
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The number of cases of violence and fights has been increasing around the world. With the use of CCTV, such incidents can be recorded but the detection of Violence is a major issue around the globe, and it plays a vit...
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The world has witnessed a huge increase in the concentration of CO2. Some people believe that it may cause severe disasters. Thus, we develop mathematical models to predict the future trend of CO2 based on its atmosph...
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Smart grid technology is advancing bravely in the tide of the development of the times, and edge computing plays an increasingly prominent role in the real-time optimal control of smart distribution networks. This art...
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