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Titlebook: 2nd EAI International Conference on Robotic Sensor Networks; ROSENET 2018 Huimin Lu,Li Yujie Conference proceedings 2020 Springer Nature Sw

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,Im Garten der (mathematischen) Lüste, affects the data quality of the video data set. Cleaning this dirty data automatically from the video data set has become an important issue that needs to be urgently resolved. In this chapter, a near-duplicate video cleansing method based on locality sensitive hashing (LSH) and the sorted neighbor
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https://doi.org/10.1007/978-3-476-03550-9rs. In this paper, a double auction-based VM migration algorithm is proposed, which takes the cost of communication between VMs into account under normal operation situation. The algorithm of VM migration is divided into two parts: (1) selecting the VMs to be migrated according to the communication
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,Stand der Forschung und Resümee,cation problem in multi-robot system. In this paper, we propose a dynamic auction method for differentiated tasks under cost rigidities (DAMCR) which can find the optimal result in a static auction between robots and tasks. Then we analyze the optimality of DAMCR. Considering the dynamics of the sys
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https://doi.org/10.1007/978-3-476-03600-1nment of airborne radar. Therefore research on new inhomogeneous detection methods applied to the case of coexisting several inhomogeneous phenomena has become an important subject in the field of research on radar signal detection technology. The new combined space-time autoregressive (STAR) algori
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Deutschland: Hofoper und Stadttheater,camera have a high level of redundancy, less available information, obvious light spots, and noise interference, which are not conducive to extracting useful information from the video. In view of the above problems, a keyframes extraction algorithm for coal mine video images based on a secondary fi
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https://doi.org/10.1007/978-3-476-03615-5 motion capture system. In this paper, hardware setup of system and a decentralized software architecture are introduced. Then, in order to validate the system, we design an experiment in which three quadcopters circle around a fixed point coordinately by using the consensus protocol. Finally, some
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https://doi.org/10.1007/978-3-476-03626-1ifferent contrast measurements in a supervised manner. Three commonly used bottom-up visual saliency operations are first introduced, including corner-surround contrast (CSC), center-surround contrast (CESC), and global contrast (GC). Then these contrast measures are fed into our WLMKL framework to
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