Information-Centric Networking (ICN) has recently attracted much attention due to in-network caching and named-based routing. Caching has played a critical role in the era of proliferating network traffic. More import...
Information-Centric Networking (ICN) has recently attracted much attention due to in-network caching and named-based routing. Caching has played a critical role in the era of proliferating network traffic. More importantly, effective caching can improve content delivery and optimize network efficiency. This paper aims to improve cache performance by maximizing cache hit ratio, minimizing content delivery latency, and path stretching in the Software-Defined Networking-ICN (SDN-ICN) context. We first propose a statistical model to generate users' preferences for different contents, which contains many essential ingredients observed in real-world scenarios. Next, we built a Graph Neural Network-Deep Reinforcement Learning (GNN-D RL) agent to generate caching decisions for each node (and at every time step) based on users' content request history. Simulation results show that the proposed caching scheme can reach a 12.3 % higher cache hit ratio, 6.5 % lower average latency time and 6.5 % lower average path stretch compared to the state-of-the-art caching strategy.
A vibration isolation system called Type-Bp system used for power recycling mirrors has been developed for KAGRA, the interferometric gravitational-wave observatory in Japan. A suspension of the Type-Bp system passive...
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The paper proposes a novel method to detect fire and flame by processing the video data captured by an ordinary camera monitoring an open scene, which combined fire flicker and color clues to reach a final decision. F...
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The paper proposes a novel method to detect fire and flame by processing the video data captured by an ordinary camera monitoring an open scene, which combined fire flicker and color clues to reach a final decision. First the image difference method and color analysis technique based on the HIS color model are applied to extract the fire-like moving region between two consecutive frames. Then the spectrum of the fire-like region flickering could be got by the Discrete Fourier Transform of the fire-like moving region sequence. Finally, a simple method is devised to estimate the fire alarm grade so that users could be informed with a proper alarm. Experimental results show that the fire detecting algorithm is fast, effective, and robust.
The concept of a "Networked Physical World" originated from the Auto-ID Center, now called the Auto-ID Labs. Such a system can be realized with a combination of automatic identification technology and a ubiq...
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The concept of a "Networked Physical World" originated from the Auto-ID Center, now called the Auto-ID Labs. Such a system can be realized with a combination of automatic identification technology and a ubiq...
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The concept of a "Networked Physical World" originated from the Auto-ID Center, now called the Auto-ID Labs. Such a system can be realized with a combination of automatic identification technology and a ubiquitous computer network that will glue the physical world together. The ability to form a ubiquitous network of physical objects has a wide range of applications including manufacturing automation, supply chain management and collection of sensor derived data We describe the building block system components of a distributed ubiquitous RFID network aimed at enabling ubiquitous sensing with RFID and explore the data flows within the system.
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