6,904 research outputs found

    Discovery of gamma-ray emission from a strongly lobe-dominated quasar 3C 275.1

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    We systematically analyze the 6-year {\it Fermi}/LAT data of the lobe-dominated quasars (LDQs) in the complete LDQ sample from 3CRR survey and report the discovery of high-energy γ\gamma-ray emission from 3C 275.1. The γ\gamma-ray emission of 3C 207 is confirmed and significant variability of the lightcurve is identified. We do not find statistically significant γ\gamma-ray emission from other LDQs. 3C 275.1 is the known γ\gamma-ray quasar with the lowest core dominance parameter (i.e., R=0.11R=0.11). We also show that both the northern radio hotspot and parsec jet models can reasonably reproduce the γ\gamma-ray data. The parsec jet model, however, is favored by the potential γ\gamma-ray variability at the timescale of months. We suggest that some dimmer γ\gamma-ray LDQs will be detected in the future and LDQs could contribute non-negligibly to the extragalactic γ\gamma-ray background.Comment: 26 pages, 10 figures, 3 tables; ApJ in pres

    Using Deep Learning Technology to Realize the Automatic Control Program of Robot Arm Based on Hand Gesture Recognition

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    In this study, the robot arm control, computer vision, and deep learning technologies are combined to realize an automatic control program. There are three functional modules in this program, i.e., the hand gesture recognition module, the robot arm control module, and the communication module. The hand gesture recognition module records the user’s hand gesture images to recognize the gestures’ features using the YOLOv4 algorithm. The recognition results are transmitted to the robot arm control module by the communication module. Finally, the received hand gesture commands are analyzed and executed by the robot arm control module. With the proposed program, engineers can interact with the robot arm through hand gestures, teach the robot arm to record the trajectory by simple hand movements, and call different scripts to satisfy robot motion requirements in the actual production environment

    Realising Intensional S4 and GL Modalities

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