Zobrazeno 1 - 10
of 110
pro vyhledávání: '"Mustafa Unel"'
Publikováno v:
Sensors, Vol 20, Iss 12, p 3405 (2020)
This paper deals with the development of a realtime structural health monitoring system for airframe structures to localize and estimate the magnitude of the loads causing deflections to the critical components, such as wings. To this end, a framewor
Externí odkaz:
https://doaj.org/article/f85648c1195c49ba81207264ff503e00
Autor:
Morteza Ghorbani, Canberk Sozer, Gokhan Alcan, Mustafa Unel, Sinan Ekici, Huseyin Uvet, Ali Koşar
Publikováno v:
AIP Advances, Vol 8, Iss 3, Pp 035108-035108-13 (2018)
This study presents a biomedical device prototype based on small scale hydrodynamic cavitation. The application of small scale hydrodynamic cavitation and its integration to a biomedical device prototype is offered as an important alternative to othe
Externí odkaz:
https://doaj.org/article/6f21e54928904ce188abeefd189b95ef
Autor:
Selim Ahmet Iz, Mustafa Unel
This paper presents a novel image-based path planning algorithm that was developed using computer vision techniques, as well as its comparative analysis with well-known deterministic and probabilistic algorithms, namely A* and Probabilistic Road Map
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af959441436736a5200456e267920b68
https://research.sabanciuniv.edu/id/eprint/44548/
https://research.sabanciuniv.edu/id/eprint/44548/
This paper proposes a robust and safe perception system for an odometry framework based on the fusion of LiDAR data with an RGB image. These multi-modal sensor measurements are fused using their depth proposals and confidence measures in a Bayesian i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00cd7f8a3c7aff982fa4dbb26ae867ae
Autor:
Volkan Aran, Mustafa Unel
Publikováno v:
International Journal of Automotive Technology. 21:971-980
This study presents a novel data driven disturbance observer design method and its integration with a recursive controller developed for diesel engine airpath control problem. Mass Air Flow (MAF) and Manifold Absolute Pressure (MAP) are identified wi
Publikováno v:
International Journal of Automotive Technology. 21:729-737
In this paper, optimization-oriented high fidelity indicated torque models which cover the whole operating regions under both steady-state and transient cycles for heavy-duty vehicles are developed. Two different experiments are performed and their d
In this work, an eye to hand camera based pose estimation system is developed for robotic machining and the accuracy of the estimated pose is improved using two different approaches, namely Long Short Term Memory (LSTM) neural networks and sparse reg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f61ae01d815f36d543613b16e41b270d
https://aperta.ulakbim.gov.tr/record/236588
https://aperta.ulakbim.gov.tr/record/236588
Publikováno v:
Composite Structures. 210:381-390
Estimation of the remaining useful life (RUL) based on the elastic strain energy density using the non-contacting and full-field capabilities of Thermoelastic Stress Analysis (TSA) was applied to E-glass fiber-reinforced polymers (GFRPs) subjected to
Autor:
Diyar Khalis Bilal, Mustafa Unel
In this work a feedforward control approach based on SINDYc (Sparse Identification of Nonlinear Dynamics with Control) is proposed for increasing the trajectory tracking accuracy of industrial robots. Initially, the dynamic relationship between the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfb65f976157fca6c0bd3c6ba0ed581
https://research.sabanciuniv.edu/id/eprint/41771/
https://research.sabanciuniv.edu/id/eprint/41771/
Autor:
Kerem Koprubasi, Mehmet Emin Mumcuoglu, Mehmet Mutluergil, Mustafa Unel, Metin Yilmaz, Gokhan Alcan, Onur Cicek
Publikováno v:
IECON
In this paper, we present a real-time driver evalua-tion system for heavy-duty vehicles by focusing on the classifica-tion of risky acceleration and braking behaviors. We utilize animproved version of our previous Long Short Memory (LSTM)based accele