Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Agung Julius"'
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1916 (2022)
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
Externí odkaz:
https://doaj.org/article/a9f1d339424748209635c4f4f1e84f94
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
Publikováno v:
In Heliyon December 2022 8(12)
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
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
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:
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
Publikováno v:
IEEE Transactions on Mobile Computing. 19:231-244
Control of conventional transportation networks aims at bringing the state of the network (e.g., the traffic flows in the network) to the system optimal (SO) state. This optimum is characterized by the minimality of the social cost function, i.e., th