Results 81 to 90 of about 53,796 (278)

Autonomous Accident Monitoring Using Cellular Network Data [PDF]

, 2013
Mobile communication networks constitute large-scale sensor networks that generate huge amounts of data that can be refined into collective mobility patterns.
Gillblad, Daniel, Görnerup, Olof, Kreuger, Per   +2 more
core   +1 more source

Humid‐Air Condensation Heat Transfer on Hierarchical Structured Superhydrophobic Graphite Composites

Advanced Materials Interfaces, EarlyView.
Humid‐air condensation on graphite composites shows that making a surface superhydrophobic is not sufficient to enhance heat transfer. A hierarchical CuO/lauric‐acid coating yields spherical droplets but promotes Wenzel‐type pinning and adds effective thermal resistance under operation.
Raphael Raab, Tobias Melchior, Hannah Mennecke, Daniel Fotachov, Egbert Oesterschulze, Thomas Reviol, Erik von Harbou, Hans‐Jörg Bart   +7 more
wiley   +1 more source

SoK of Machine Learning and Deep Learning Based Anomaly Detection Methods for Automatic Dependent Surveillance- Broadcast

IEEE Access
This paper focuses on the vulnerabilities of ADS-B, one of the avionics systems, and the countermeasures taken against these vulnerabilities proposed in the literature.
Nursah Cevik, Sedat Akleylek
doaj   +1 more source

Smartphone-Based Pedestrian’s Avoidance Behavior Recognition towards Opportunistic Road Anomaly Detection

ISPRS International Journal of Geo-Information, 2016
Road anomalies, such as cracks, pits and puddles, have generally been identified by citizen reports made by e-mail or telephone; however, it is difficult for administrative entities to locate the anomaly for repair.
Tsuyoshi Ishikawa, Kaori Fujinami
doaj   +1 more source

Detecting Anomaly in Traffic Flow from Road Similarity Analysis [PDF]

, 2016
Taxies equipped with GPS devices are considered as 24-hour moving sensors widely distributed in urban road networks. Plenty of accurate and realtime trajectories of taxi are recorded by GPS devices and are commonly studied for understanding traffic dynamics. This paper focuses on anomaly detection in traffic volume, especially the non-recurrent traffic
Liu, Xinran, Liu, Xingwu, Wang, Yuanhong, Pu, Juhua, Zhang, Xiangliang   +4 more
openaire   +2 more sources

From Copper Nanoparticles to Alumina Encapsulated Porous Layers With Enhanced Mechanical Stability

Advanced Materials Interfaces, EarlyView.
This study analyzes the synthesis‐structure relation of individual Cu nanoparticles and highly porous nanoparticle‐based Cu films using different sputtering‐based nanoparticle sources. The inherent mechanical instability of the films is tackled with Al2O3 encapsulation through atomic layer deposition, enabling 4‐fold increase in critical force in ...
Dominik Gutnik, Daniele Casari, Laszlo Pethö, Michael Burtscher, Anna M. Hofer‐Roblyek, Christian Mitterer, Barbara Putz   +6 more
wiley   +1 more source

STLP-OD: Spatial and Temporal Label Propagation for Traffic Outlier Detection

IEEE Access, 2019
This paper focuses on the detection of non-recurrent traffic anomaly caused by unexpected or transient incidents, such as traffic accidents, celebrations, and disasters.
Juhua Pu, Yue Wang, Xinran Liu, Xiangliang Zhang   +3 more
doaj   +1 more source

Lost in Time: Temporal Analytics for Long-Term Video Surveillance

, 2017
Video surveillance is a well researched area of study with substantial work done in the aspects of object detection, tracking and behavior analysis. With the abundance of video data captured over a long period of time, we can understand patterns in human
Khor, Huai-Qian, See, John
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications

IET Intelligent Transport Systems
Understanding the behaviour of traffic participants within the geo‐spatial context of road/intersection topology is a vital prerequisite for any smart ITS application.
Erkut Akdag, Giacomo D'Amicantonio, Julien Vijverberg, David Stajan, Bart Beers, Peter H. N. De With, Egor Bondarev   +6 more
doaj   +1 more source