Xiaotong Xu's research while affiliated with Tokyo Metropolitan University and other places
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Publications (3)
This paper proposes a method for classifying street lighting conditions after dark in order to share the collected data with the local community. Such information is important for the safety and security of residents, and can be used to discuss about anti-crime activities and nighttime route recommendations. However, it is difficult to ascertain th...
This paper proposes a method for classifying roads' lighting situation at night based on social approach. Information about roads' lighting situation is important in terms of safety and security of local communities, which is used for discussing anti-crime activities and route recommendation at night. However, it is difficult to know actual lightin...
This paper proposes a method for collecting road lighting situation at night for recommending safety walking route. In recent years, there is a growing demand for public route information service. Among them, the lighting situation, i.e. brightness of a road at night is important information for public safety. Such information is collected and visu...
Citations
... Classification is one technique that usually used in data mining [4] besides association rules [5]- [7] and clustering [8] [9]. Classification approach has been implemented to solve various problems such as image classification [10] in soil images [11], breast cancer images [12], Mango classification [13], brainwave signal from EEG single-sensor [14] and motor imagery EEG signal [15], cancer that causes death in children [16], transportation classification in-vehicle pattern analysis [17] and street lighting conditions [18], traffic incident detection [19], student data analysis [20], scattering mechanisms information [21], agriculture classification in honey botanical origin [22] and network security classification for for detecting DoS flooding attacks [23]. Classification also can be used to predict data [24]. ...
... Research on SVM and naïve Bayes are present in smart lighting. Xu et al. [191] used and compared SVM and naïve Bayes to classify street light conditions using the light sensor on a smartphone. Three different light attributes were present in the study, where from each attribute, its mean and standard deviation emerge from extraction. ...
