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Titlebook: Broadband Communications, Networks, and Systems; 10th EAI Internation Qingshan Li,Shengli Song,Honghao Gao Conference proceedings 2019 ICST

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樓主: 喜悅
51#
發(fā)表于 2025-3-30 11:53:36 | 只看該作者
52#
發(fā)表于 2025-3-30 12:53:00 | 只看該作者
Wesen und Bedeutung von Theorien,ons, localization is always one of the most basic tasks of the robot. To acquire the object location, existing work mainly relies on computer vision. Such methods encounter many problems in practice, such as high computational complexity, large influence by light conditions, and heavy crafting of pr
53#
發(fā)表于 2025-3-30 18:48:21 | 只看該作者
Wesen und Bedeutung von Theorien,gnal strength (RSS) and AOA measurement techniques are proposed for the wireless localization in the paper. By converting the measurement equations and relaxing the optimization function, a second order cone programming and semidefinite programming (SOCPSDP) algorithm is put forward to obtain the po
54#
發(fā)表于 2025-3-30 22:42:09 | 只看該作者
55#
發(fā)表于 2025-3-31 04:05:07 | 只看該作者
https://doi.org/10.1007/978-3-8349-8059-5ey issue for virtual resource leasing in Cloud computing. Most of the existing researches only aim to maximize the revenue. As the scale of hardware network expands, the energy consumption of substrate network also needs to be paid more attention. In this paper, a multi-objective virtual network map
56#
發(fā)表于 2025-3-31 08:46:32 | 只看該作者
https://doi.org/10.1007/978-3-8349-8059-5ses are especially unwelcome in multimedia transmissions, which constitute a large fraction of contemporary traffic. In this paper, we first present and discuss results of measurements of the burst ratio in IP traffic, at a bottleneck link of our university campus. The measurements were conducted in
57#
發(fā)表于 2025-3-31 11:34:16 | 只看該作者
58#
發(fā)表于 2025-3-31 16:33:06 | 只看該作者
https://doi.org/10.1007/978-3-8349-8059-5. Wi-Fi sensing is becoming more and more popular as it does not raise privacy concerns in compare to a camera based approach and also our subject (human) doesn’t have to be in any special environment or wear any special devices (sensors)..Our goal is to use Wi-Fi signal data obtained using commodit
59#
發(fā)表于 2025-3-31 17:44:29 | 只看該作者
https://doi.org/10.1007/978-3-8349-8059-5 for people to capture the mathematical characteristics, rules and knowledge of data. People tend to get limited and less valuable information directly form large data when rely only on human-being’s cognition. Therefore, people need new means and technologies to help display these data more intuiti
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