16 citations
- National Institute of Advanced Industrial Science and TechnologyJP9 papers
- Budapest University of Technology and EconomicsHU1 paper
- CentraleSupélecFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- CNRS-AIST JRL (Joint Robotics Laboratory)JP1 paper
- Czech Academy of SciencesCZ1 paper
- Czech Academy of Sciences, Heyrovsky InstituteCZ1 paper
- Erciyes UniversityTR1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- Hungarian Academy of SciencesHU1 paper
- HUN-REN Centre for Energy ResearchHU1 paper
- HUN-REN Wigner Research Centre for PhysicsHU1 paper
9 papers
Topological defects of dipole patchy particles on a spherical surface
Uyen Tu Lieu, Natsuhiko Yoshinaga
We investigate the assembly of the dipole-like patchy particles confined to a spherical surface by Brownian dynamics simulations. The surface property of the spherical particle is…
Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features
Takao Murakami, Koki Hamada, Yusuke Kawamoto +1
With the widespread use of LBSs (Location-based Services), synthesizing location traces plays an increasingly important role in analyzing spatial big data while protecting user pri…
Tilt estimator for 3D non-rigid pendulum based on a tri-axial accelerometer and gyrometer
Mehdi Benallegue, Abdelaziz Benallegue, Yacine Chitour
The paper presents a new observer for tilt estimation of a 3-D non-rigid pendulum. The system can be seen as a multibody robot attached to the environment with a ball joint. There…
Near-field optical investigation of Ni clusters inside single-walled carbon nanotubes on the nanometer scale
Gergely Németh, Dániel Datz, Áron Pekker +7
We used scattering-type scanning near-field optical microscopy (s-SNOM) to characterize nickel nanoclusters grown inside single-walled carbon nanotubes (SWCNT). The nanotubes were…
Statistical Neurodynamics of Deep Networks: Geometry of Signal Spaces
Shun-ichi Amari, Ryo Karakida, Masafumi Oizumi
Statistical neurodynamics studies macroscopic behaviors of randomly connected neural networks. We consider a deep layered feedforward network where input signals are processed laye…
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation
Takao Murakami, Yusuke Kawamoto
LDP (Local Differential Privacy) has been widely studied to estimate statistics of personal data (e.g., distribution underlying the data) while protecting users' privacy. Although…