The command of comfort in an intelligent building by speech classification and image classification for energy optimization

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Henni Sid Ahmed, J. Caelen
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引用次数: 1

Abstract

Abstract Comfort command is a solution to optimize energy in an intelligent building. Our goal is to achieve an optimum and robust system, for the command of comfort. Speech and image classification are considered to be two systems that have worked well for comfort command, but both systems have drawbacks. After several studies, we noted that the inconveniences of the speech classification are solved by adding in parallel a classification of the image and the same thing for the disadvantages of the classification of images that are resolved by adding in parallel a system of speech classification. It means that these two systems work at the same time to achieve a robust and optimum system for comfort command.
通过语音分类和图像分类对智能建筑的舒适度进行控制,实现能耗优化
摘要舒适控制是智能建筑中能源优化的一种解决方案。我们的目标是实现一个最佳的和健壮的系统,为舒适的命令。语音和图像分类被认为是两种很好的舒适指挥系统,但这两种系统都有缺点。经过几次研究,我们注意到通过并行增加一个图像分类来解决语音分类的不便,同样的,通过并行增加一个语音分类系统来解决图像分类的缺点。这意味着这两个系统同时工作,以实现一个鲁棒和最佳系统的舒适指挥。
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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