Results 11 to 20 of about 361,033 (290)
A FEASIBILITY STUDY ON USE OF GENERIC MOBILE LASER SCANNING SYSTEM FOR DETECTING ASPHALT PAVEMENT CRACKS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 This study aims to automatically detect pavement cracks on urban roads by employing the 3D point clouds acquired by a mobile laser scanning (MLS) system. Our method consists of four steps: ground point filtering, high-pass convolution, matched filtering,
X. Chen, J. Li
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Computers in Human Behavior Reports, 2021 Background: For successful integration of mobile sensing solutions in existing mental health services, patients' comfortability with mobile sensing is crucial.
Kitti Bessenyei +8 more
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From participatory sensing to Mobile Crowd Sensing [PDF]
2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS), 2014 The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years.
Guo, Bin +3 more
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Spacetime-based Mobile Sensing Node Selection Algorithm [PDF]
Jisuanji gongcheng, 2018 The spacetime of the node is neglected when the mobile sensing node is chosen in mobile Internet.Aiming at this problem,based on the use of mobile sensing nodes instead of fixed sensing nodes as the sensing devices,this paper proposes a mobile node ...
GUO Hui,CHENG Lianglun
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Differentially Private Mobile Crowd Sensing Considering Sensing Errors [PDF]
Sensors, 2020 An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method, such as privacy violations, considerable research has been conducted over the last decade to ...
Yuichi Sei, Akihiko Ohsuga
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Frontiers in Public Health, 2021 Health-related data being collected by smartphones offer a promising complementary approach to in-clinic assessments. Despite recent contributions, the trade-off between privacy, optimization, stability and research-grade data quality is not well met by ...
Mehran Sahandi Far +7 more
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Frontiers in Computer Science, 2021 The Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenges aim to advance and capture the state-of-the-art in locomotion and transportation mode recognition from smartphone motion (inertial) sensors.
Lin Wang +6 more
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A Quality Information Oriented Collaboration Method for Mobile Crowd Sensing [PDF]
Jisuanji gongcheng, 2017 The existing researchon sensing information quality mainly focuses on the mobile nodes recruiting,selecting and sensing task allocating,lacking optimizing the execution of sensing tasks.This paper proposes Sensing Task Migrating(STM) method based on ...
ZHANG Jide,YUAN Yin,LIU Yazhi,ZHANG Xinying,YANG Zongshuai
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Frontiers in Digital Health, 2023 In this paper, we present m-Path (www.m-Path.io), an online platform that provides an easy-to-use and highly tailorable framework for implementing smartphone-based ecological momentary assessment (EMA) and intervention (EMI) in both research and clinical
Merijn Mestdagh +8 more
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Geoenvironmental Disasters, 2017 This paper expands the previous efforts by other researchers to present a quantitative and deterministic approach for terrain analysis. This study evaluates both spatial and temporal factors contributing landslides utilizing Light Detection and Ranging ...
Saied Pirasteh, Jonathan Li
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