Results 61 to 70 of about 7,350 (305)

Quantum versus Classical Online Streaming Algorithms with Advice

CoRR, 2018
We consider online algorithms with respect to the competitive ratio. Here, we investigate quantum and classical one-way automata with non-constant size of memory (streaming algorithms) as a model for online algorithms. We construct problems that can be solved by quantum online streaming algorithms better than by classical ones in a case of logarithmic ...
Khadiev, Kamil, Khadieva, Aliya, Ziatdinov, Mansur, Kravchenko, Dmitry, Rivosh, Alexander, Yamilov, Ramis, Mannapov, Ilnaz   +6 more
openaire   +3 more sources

Auto‐Routing Fluidic Printed Circuit Boards

Advanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre, Lehong Wang, Haotian Liu, Markus P. Nemitz   +3 more
wiley   +1 more source

Incremental Beta Distribution Weighted Fuzzy C-Ordered Means Clustering

Information
Streaming data is becoming more and more common in the field of big data and incremental frameworks can address its complexity. The BDFCOM algorithm achieves good results on common form datasets by introducing the ordering mechanism of beta distribution ...
Hengda Wang, Mohamad Farhan Mohamad Mohsin, Muhammad Syafiq Mohd Pozi, Zhu Zeng   +3 more
doaj   +1 more source

From Batch to Stream: Automatic Generation of Online Algorithms

Proceedings of the ACM on Programming Languages
Online streaming algorithms, tailored for continuous data processing, offer substantial benefits but are often more intricate to design than their offline counterparts. This paper introduces a novel approach for automatically synthesizing online streaming algorithms from their offline versions. In particular, we propose a novel methodology,
Ziteng Wang 0001, Shankara Pailoor, Aaryan Prakash, Yuepeng Wang 0001, Isil Dillig   +4 more
openaire   +2 more sources

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

An encrypted network video stream dataset

Data in Brief, 2023
Most of the video content on the Internet today is distributed through online streaming platforms. To ensure user privacy, data transmissions are often encrypted using cryptographic protocols.
Jan Fesl, Daniel Sedlák, Tomáš Macák, Marie Feslová, Michal Konopa   +4 more
doaj   +1 more source

Multidirectional Motion Strategy of Miniature Water Surface Robot Actuated by Single Exciter

Advanced Robotics Research, EarlyView.
A novel multidirectional motion strategy on the water surface based on a single exciter is proposed, and a single‐exciter single‐plate module is developed for actuation. The driving forces generation mechanism of the module is revealed from the perspective of the asymmetric surface wave field.
Haoxuan He, Dehong Wang, Jing Li, Shijing Zhang, Yingxiang Liu   +4 more
wiley   +1 more source

Designing a Streaming Algorithm for Outlier Detection in Data Mining—An Incrementa Approach

Sensors, 2020
To design an algorithm for detecting outliers over streaming data has become an important task in many common applications, arising in areas such as fraud detections, network analysis, environment monitoring and so forth.
Kangqing Yu, Wei Shi, Nicola Santoro
doaj   +1 more source

FREIGHT: Fast Streaming Hypergraph Partitioning [PDF]

, 2023
Partitioning the vertices of a (hyper)graph into k roughly balanced blocks such that few (hyper)edges run between blocks is a key problem for large-scale distributed processing.
Schulz, Christian, Fonseca Faraj, Marcelo, Eyubov, Kamal   +2 more
core   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source