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The LiNK software lets you designate each door with simple labels like "Front Door" or "Carport Door." You can create different codes for each door or use the same code for all of them -- it's up to you. Additional locks cost $199 each. The Bridge relays electronic commands to the locks. Receives information sent by the locks. It's the Bridge's job to take the instructions sent to it from your ­computer or cell phone. Translate the information into commands sent via low-power radio waves. These radio waves have a limited range, so it's necessary to put the Bridge in a room that is central to all the doors you plan to equip with LiNK locks. The system's software even allows you to set up special codes that expire after a preset time limit. This may be useful if you expect someone to stop by your house at a specific time. You don't have to give the person your main door code.|Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems. Skeleton-based action recognition is an attractive approach which, instead of using RGB pixel data, relies on human pose information to classify appropriate actions. However, existing algorithms often assume ideal conditions that are not representative of real-world limitations, such as noisy input, latency requirements, and edge resource constraints. To address the limitations of existing approaches, this paper presents Real-World Graph Convolution Networks (RW-GCNs), an architecture-level solution for meeting the domain constraints of Real World Skeleton-based Action Recognition. Inspired by the presence of feedback connections in the human visual cortex, RW-GCNs leverage attentive feedback augmentation on existing near state-of-the-art (SotA) Spatial-Temporal Graph Convolution Networks (ST-GCNs). The ST-GCNs’ design choices are derived from information theory-centric principles to address both the spatial and temporal noise typically encountered in end-to-end real-time and on-the-edge smart video systems. Our results demonstrate RW-GCNs’ ability to serve these applications by achieving a new SotA accuracy on the NTU-RGB-D-120 dataset at 94.1%, and achieving 32? imes? less latency than baseline ST-GCN applications while still achieving 90.4% accuracy on the Northwestern UCLA dataset in the presence of spatial keypoint noise. Lots of sites that publish regular information have their own RSS feeds, like Marshall Brain's BrainStuff weblog. The trouble with living in the Information Age is paradoxical: There's too much information. It's everywhere. How are you supposed to keep track of all the news, sports, weather and blogs you follow? Better yet, how are you going to do that and find time for work, school and family? If you're addicted to the constant flow of data that we know as the Internet, you're not going to be able to manage it without some help. One way to keep track of it all has grown very popular since its introduction in 1997: RSS. Short for Really Simple Syndication (at least now -- more on that later), RSS is a way to subscribe to a source of information, such as a Web site, and get brief updates delivered to you. When you subscribe, you'll get a feed -- often a series of headlines and brief summaries -- of all the articles published on that particular Web page. trump travel ban

















































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