Results 51 to 60 of about 47,561 (256)

k-Anonymity Location Privacy Algorithm Based on Clustering

open access: yesIEEE Access, 2018
The accuracy of user location information is inversely proportional to the user's privacy preserving degree k, and is proportional to quality of query service.
Lijuan Zheng   +5 more
doaj   +1 more source

Distribution‐preserving k‐anonymity [PDF]

open access: yesStatistical Analysis and Data Mining: The ASA Data Science Journal, 2018
Preserving the privacy of individuals by protecting their sensitive attributes is an important consideration during microdata release. However, it is equally important to preserve the quality or utility of the data for at least some targeted workloads. We propose a novel framework for privacy preservation based on the k‐anonymity model that is ideally ...
Dennis Wei   +2 more
openaire   +3 more sources

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

open access: yesAdvanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon   +3 more
wiley   +1 more source

Self‐Assembled Calcite Architectures for Programmable Information Storage

open access: yesAdvanced Materials Technologies, EarlyView.
Programmable biomineralization enables the formation of 3D calcite architectures that encode information through spatially defined refractive‐index modulations. Data are written via laser‐directed mineralization, stored in stable voxelized mineral structures, and retrieved non‐destructively through optical diffraction, offering a pathway toward ultra ...
Congrui Jin   +2 more
wiley   +1 more source

A Differentiated Anonymity Algorithm for Social Network Privacy Preservation

open access: yesAlgorithms, 2016
Devising methods to publish social network data in a form that affords utility without compromising privacy remains a longstanding challenge, while many existing methods based on k-anonymity algorithms on social networks may result in nontrivial utility ...
Yuqin Xie, Mingchun Zheng
doaj   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Efficient scheme for user's trajectory privacy

open access: yesTongxin xuebao, 2015
As one of the most important information in location-based services (LBS),the trajectory privacy for smart devices users has gained increasingly popularity over recent years.To address this problem,(k−1) dummy trajectories to achieve trajectory k ...
Feng-hua LI   +5 more
doaj   +2 more sources

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

open access: yesAdvanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni   +4 more
wiley   +1 more source

Enhanced Location K-anonymity Privacy Protection Scheme Based on Geohash [PDF]

open access: yesJisuanji kexue
With the wide application of LBS,location privacy protection is imperative.In recent years,location k-anonymity solution has become a research hotpot which is widely used.However,k-anonymity schemes are vulnerable to background knowledge attacks.Although
LI Yongjun, ZHU Yuefei, BAI Lifang
doaj   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

open access: yesAdvanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang   +5 more
wiley   +1 more source

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