Zobrazeno 1 - 10
of 169
pro vyhledávání: '"A. Agung Julius"'
Publikováno v:
Heliyon, Vol 8, Iss 12, Pp e12500- (2022)
Circadian rhythms play a vital role in maintaining an individual's well-being, and they have been shown to be the product of the master oscillator in the suprachiasmatic nuclei (SCN) located in the brain. The SCN however, is inaccessible for assessme
Externí odkaz:
https://doaj.org/article/49080b24bf8f4a9f97880f3d1dddba78
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
Abstract Manipulation of cellular motility using a target signal can facilitate the development of biosensors or microbe-powered biorobots. Here, we engineered signal-dependent motility in Escherichia coli via the transcriptional control of a key mot
Externí odkaz:
https://doaj.org/article/7ce974fb4c5e404380f246abf87b88f6
Publikováno v:
In Heliyon December 2022 8(12)
Autor:
Ruixuan Yan, Agung Julius
Publikováno v:
IEEE Robotics and Automation Letters. 7:9413-9420
Publikováno v:
Intelligent Service Robotics. 15:215-230
A Decentralized B&B Algorithm for Motion Planning of Robot Swarms With Temporal Logic Specifications
Autor:
A. Agung Julius, Ruixuan Yan
Publikováno v:
IEEE Robotics and Automation Letters. 6:7389-7396
In this letter, we study the problem of decentralized motion planning of robot swarms under high-level temporal logic specifications with a top-down approach. We use Swarm Signal Temporal Logic (SwarmSTL) to express swarm-level specifications. By enc
Autor:
Yi Deng, Agung Julius
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 174, Iss Proc. HAS 2014, Pp 1-12 (2015)
For the design and implementation of engineering systems, performing model-based analysis can disclose potential safety issues at an early stage. The analysis of hybrid system models is in general difficult due to the intrinsic complexity of hybrid d
Externí odkaz:
https://doaj.org/article/7ad6155e55f64f109d350befaf2ed8ac
Most existing Time series classification (TSC) models lack interpretability and are difficult to inspect. Interpretable machine learning models can aid in discovering patterns in data as well as give easy-to-understand insights to domain specialists.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::423a8a7213d58f608a9fb8f9eaca6744
http://arxiv.org/abs/2209.09114
http://arxiv.org/abs/2209.09114
Publikováno v:
Mathematics; Volume 10; Issue 11; Pages: 1916
Circadian rhythm is an important biological process for humans as it modulates a wide range of physiological processes, including body temperature, sleep-wake cycle, and cognitive performance. As the most powerful external stimulus of circadian rhyth
Publikováno v:
IEEE/ACM Transactions on Networking. 28:376-386
This work studies the user equilibrium (UE) state and the system optimal (SO) state in vehicular communication networks that support both V2V and V2I communication. Each user in this network is assumed to make route choice that optimizes a utility fu