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GNFUV无人地面车辆传感器数据集2数据集

GNFUV无人地面车辆传感器数据集2数据集

Scene:

Automobiles and Vehicles

Data Type:

Regression
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Data Preview ? 350K

    Data Structure ?

    *数据结构实际以真实数据为准

    Data Set Information:

    数据集包括来自四(4)个树莓Pi的2 x(4)组移动传感器读数数据(湿度、温度),对应于四(4)个无人地面车辆(USV)群。每个USV集合包含以下格式的记录:{'Device';'湿度值';'temperature value';'experiment id';'sensing-time','Pi'}。USV群按照GPS预定义的轨迹移动。USV正漂浮在雅典(希腊)沿海地区的海面上. More information: [Web link]


    Attribute Information:

    Attributes:
    'device' = USV ID (String)
    'humidity' = sensed humidity value from the USV sensor (real value)
    'temperature' = sensed temperature value from the USV sensor (real value)
    'experiment' = 1 (constant real value)
    'time' = the sensing and reporting time (real value)
    'pi' = Raspberry Pi ID


    Relevant Papers:

    Please cite one of the following papers:
    [1] Harth, N. and Anagnostopoulos, C. (2018) Edge-centric Efficient Regression Analytics. In: 2018 IEEE International Conference on Edge Computing (EDGE), San Francisco, CA, USA, 02-07 Jul 2018
    [2] Harth, N., Anagnostopoulos, C., (2017) Quality-aware Aggregation & Predictive Analytics at the Edge. IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, 2017, Boston, MA, USA



    Citation Request:

    Please cite one of the following papers:
    [1] Harth, N. Anagnostopoulos, C. (2018) Edge-centric Efficient Regression Analytics. In: 2018 IEEE International Conference on Edge Computing (EDGE), San Francisco, CA, USA, 02-07 Jul 2018
    [2] Harth, N., Anagnostopoulos, C., (2017) Quality-aware Aggregation & Predictive Analytics at the Edge. IEEE International Conference on Big Data (IEEE Big Data 2017), December 11-14, 2017, Boston, MA, USA.


    Dr Christos Anagnostopoulos; School of Computing Science, University of Glasgow; email: christos.anagnostopoulos '@' glasgow.ac.uk; G12 8QQ Scotland, UK. (NETLAB Group: https://netlab.dcs.gla.ac.uk/)

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