Browsing by Subject "Mean absolute error"

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    ItemOpen Access
    A comparative study on the processing of ultrasonic arc maps
    (IEEE, 2008-08) Barshan, Billur
    The directional maximum (DM) technique for processing ultrasonic arc maps is proposed and compared to previously existing techniques. The method processes ultrasonic arc maps directionally to extract the map of the environment and overcome the intrinsic angular uncertainty of ultrasonic sensors. It also eliminates noise and cross-talk related misreadings successfully. The comparison is based on experimental data and three complementary error criteria. The DM technique offers a very good compromise between mean absolute error and correct detection rate, with a processing time less than tenth of a second. It is superior to existing techniques in range accuracy and in eliminating artifacts, resulting in the best overall performance. The results indicate several trade-offs in the choice of ultrasonic arc-map processing techniques.
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    ItemOpen Access
    Directional processing of ultrasonic arc maps and its comparison with existing techniques
    (IEEE, 2007) Barshan, Billur; Altun, Kerem
    Directional maximum (DM) technique for processing ultrasonic arc maps (UAMs) is proposed and compared to existing techniques. It employs directional processing in extracting the map of the environment from UAMs. DM aims at overcoming the intrinsic angular uncertainty of ultrasonic sensors in map building, as well as eliminating noise and cross-talk related misreadings. The comparison is based on experiments with a mobile robot which ac-quired ultrasonic range measurements through wall following. Three complementary performance criteria are used. The DM technique offers a very good compromise between mean absolute error and correct detection rate, with a processing time less than one tenth of a second. It is also superior in range accuracy and in eliminating artifacts, resulting in the best overall performance. The results indicate several trade-offs in the choice of UAM processing techniques.
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    ItemOpen Access
    LineKing: Crowdsourced line wait-time estimation using smartphones
    (Springer, 2013) Bulut, M. F.; Yilmaz, Y. S.; Demirbaş, M.; Ferhatosmanoğlu, N.; Ferhatosmanoğlu, Hakan
    This paper describes the design, implementation and deployment of LineKing (LK), a crowdsourced line wait-time monitoring service. LK consists of a smartphone component (that provides automatic, energy-efficient, and accurate wait-time detection), and a cloud backend (that uses the collected data to provide accurate wait-time estimation). LK is used on a daily basis by hundreds of users to monitor the wait-times of a coffee shop in our university campus. The novel wait-time estimation algorithms deployed at the cloud backend provide mean absolute errors of less than 2-3 minutes. © 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.