Results 231 to 240 of about 1,387,882 (283)
4D‐Printed Magneto‐Plasmonic Microrobots for Programmable Spatiotemporal De‐Icing
Advanced Functional Materials, EarlyView.A 4D‐printing strategy is introduced to achieve programmable de‐icing devices. By aligning gold–magnetite nanofillers within a photosensitive resin, the printed structures exhibit dual magnetic and plasmonic functionalities, enabling precise spatio‐temporal ice removal through thermoplasmonic effects.
Amélie Pérot +7 more
wiley +1 more source
Mechanochromism of Glassy Polymers Enabled by a Loop‐Forming Supramolecular Mechanophore
Advanced Functional Materials, EarlyView.The supramolecular mechanophore LOOP is covalently introduced into glassy polymers, capable of reporting force‐induced pre‐failure damage and local fracture events in polymer glasses. Under different mechanical deformation modes, including grinding, tensile stretching, and scratching, LOOP probes irreversible events in polymer glasses through a ...
Linlin Deng +6 more
wiley +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
ACM Transactions on Intelligent Systems and Technology, 2015
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
Yu Zheng
openaire +3 more sources
The advances in location-acquisition and mobile computing techniques have generated massive spatial trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Many techniques have been proposed for processing, managing, and mining trajectory data in the past decade, fostering a ...
Yu Zheng
openaire +3 more sources
2021
In recent years, we have witnessed the fast development of smart mobile devices. We have become the data contributors and service users of various applications in a smart city by using these mobile devices. Intuitively, uploading true locations to the server will improve the quality of services.
Chao Chen +3 more
openaire +1 more source
In recent years, we have witnessed the fast development of smart mobile devices. We have become the data contributors and service users of various applications in a smart city by using these mobile devices. Intuitively, uploading true locations to the server will improve the quality of services.
Chao Chen +3 more
openaire +1 more source
2021
Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues.
Chao Chen +3 more
openaire +1 more source
Massive and redundant vehicle trajectory data are continuously sent to the data center via vehicle-mounted GPS devices, causing a number of sustainable issues, such as storage, communication, and computation. Online trajectory compression becomes a promising way to alleviate these issues.
Chao Chen +3 more
openaire +1 more source
Trajectory Data Classification
ACM Transactions on Intelligent Systems and Technology, 2019This article comprehensively surveys the development of trajectory data classification. Considering the critical role of trajectory data classification in modern intelligent systems for surveillance security, abnormal behavior detection, crowd behavior analysis, and traffic control, trajectory data classification has attracted growing attention ...
Jiang Bian +3 more
openaire +1 more source
Trajectory Data Pattern Mining
2014In this paper, we study the problem of mining for frequent trajectories, which is crucial in many application scenarios, such as vehicle traffic management, hand-off in cellular networks, supply chain management. We approach this problem as that of mining for frequent sequential patterns.
Masciari E, Shi Gao, Carlo Zaniolo
openaire +4 more sources
2013
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
openaire +1 more source
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
openaire +1 more source
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, 2015
The increasing prevalence of sensors and mobile devices has led to an explosive increase of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query, as a fundamental functionality for measuring trajectory data, aims to retrieve the statistics of trajectories passing a user-specified spatio-temporal region.
Yanhua Li +7 more
openaire +1 more source
The increasing prevalence of sensors and mobile devices has led to an explosive increase of the scale of spatio-temporal data in the form of trajectories. A trajectory aggregate query, as a fundamental functionality for measuring trajectory data, aims to retrieve the statistics of trajectories passing a user-specified spatio-temporal region.
Yanhua Li +7 more
openaire +1 more source