Results 31 to 40 of about 3,187 (246)

Challenges in Algorithmic Implementation: The FLoCIC Algorithm as a Case Study in Technology-Enhanced Computer Science Education

Applied Sciences
Learning and implementing algorithms is a fundamental but challenging aspect of Computer Science education. One of the key tools used in teaching algorithms is pseudocode, which serves as an abstract representation of the logic behind a given algorithm ...
David Jesenko, Borut Žalik, Štefan Kohek   +2 more
doaj   +1 more source

Lossless compression of ultraspectral sounder data using recursive least squares

2017 8th International Conference on Recent Advances in Space Technologies (RAST), 2017
Lossless compression is an important topic in ultraspectral sounder data which includes thousands of spectral channels and it needs to store or transmit data in an efficient form. In this paper, a recursive least squares (RLS) based prediction method is proposed for the lossless compression of ultraspectral data. Experiments are performed on 10 granule
Karaca, Ali Can, Gullu, M. Kemal
openaire   +4 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced 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, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

A Plug‐and‐Play Volume Minimizing Micromixer

Advanced Science, EarlyView.
ABSTRACT Microscale fluid mixing has numerous applications where rapid and efficient mixing is required, including drug discovery, bio‐analysis and point‐of‐care diagnostics. Conventional soft lithography processes, however, make the integration of robust and reliable mixing difficult to implement in practice, especially across different flow rates ...
Kirill Kolesnik, Philipp Segeritz, Daniel J. Scott, David J. Collins   +3 more
wiley   +1 more source

Adaptive sequential estimator for InSAR time series phase estimation

International Journal of Applied Earth Observations and Geoinformation
The coherence estimation errors in phase linking can be mitigated through the weighted alignment of interferometric pairs and the intermediate filtering of data subsets. The Sequential Estimator (SE) serves as a representative method.
Guanya Wang, Zhiwei Li, Han Gao, Jun Hu, Mi Jiang, Peng Ren, Jie Zhang   +6 more
doaj   +1 more source

METHOD OF DATA COMPRESSION FOR TRAFFIC MONITORING TOOLS OF COMMUNICATION

Радіоелектронні і комп'ютерні системи, 2016
In this paper a problem of compressing data containing information on basic parameters of network traffic is considered. Twelve test sets with different types of network traffic for known monitoring tools Wireshark, Colasoft Capsa and CommView are formed.
Н. В. Кожемякина, Н. Н. Пономаренко   +1 more
doaj   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Sequential Deep Learning with Feature Compression and Optimal State Estimation for Indoor Visible Light Positioning

Photonics
Visible Light Positioning (VLP) is widely regarded as a promising technology for high-precision indoor localization due to its immunity to radio-frequency interference and compatibility with existing Light-Emitting Diode (LED) lighting infrastructure ...
Negasa Berhanu Fite, Getachew Mamo Wegari, Heidi Steendam   +2 more
doaj   +1 more source

Shift Aggregate Extract Networks

Frontiers in Robotics and AI, 2018
We introduce an architecture based on deep hierarchical decompositions to learn effective representations of large graphs. Our framework extends classic R-decompositions used in kernel methods, enabling nested part-of-part relations.
Francesco Orsini, Daniele Baracchi, Paolo Frasconi   +2 more
doaj   +1 more source

Bioinspired Adaptive Leg‐Claw Enables Robust Perching and Grasping for UAVs

Advanced Science, EarlyView.
Inspired by owl limb morphology and bat roosting behavior, this study presents a bioinspired adaptive leg‐claw mechanism that enables UAVs to perform robust and versatile perching and grasping. The design integrates a four‐link tibial structure, tension‐driven deformable feet, and active control, enabling stable perching on various branches and ...
Tianyu Cheng, Shaokun Wang, Jiehan Zou, Guiwen Shi, Zhongxue Gan, I‐Ming Chen, Guo‐Niu Zhu   +6 more
wiley   +1 more source