Výsledky vyhledávání

Gerçek Zamanlı Gömülü Sistemlerin Durum Diyagramları ile Modellenmesi

Autor: Abdullah Elewi, Sonay Duman, Firat Duman

Publikováno v: Issue: 25 6-11
Avrupa Bilim ve Teknoloji Dergisi

Gömülü gerçek zamanlı sistemler, Birleşik Modelleme Dili’nin en başarılı uygulama alanlarından biridir. Durum diyagramları davranış modellemesi için kullanılan Birleşik Modelleme Dili tekniklerinden biridir. Durum diyagramları bir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d9425b6c507aca0776901b5cd57cd7a
https://dergipark.org.tr/tr/pub/ejosat/issue/62595/884420

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Smart Cinema Seat Finding System Using Interaction Design With Arduino

Autor: Sonay Duman, Erdinc Avaroglu, Firat Duman, Abdullah Elewi

Publikováno v: 2018 3rd International Conference on Computer Science and Engineering (UBMK).

3rd International Conference on Computer Science and Engineering, UBMK 2018 -- 20 September 2018 through 23 September 2018 -- -- 143560
This paper presents a new approach to utilize smart technology in a practical and meaningful manner to make f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2540c9830f5b21e1cbad61487982114a
https://doi.org/10.1109/ubmk.2018.8566553

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Patient specific seizure prediction algorithm using Hilbert-Huang Transform

Autor: Esen Yildirim, Nilufer Ozdemir, Firat Duman

Publikováno v: BHI

Epilepsy is a neurological disorder that affects about 50 million people around the world. EEG signal processing plays an important role in detection and prediction of epileptic seizures. The aim of this study is to develop a method for early seizure

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::590fcc5f8bee0447edf86533cebe2fbd
https://doi.org/10.1109/bhi.2012.6211680

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Seizure detection via Empirical Mode Decomposition

Autor: Firat Duman, Esen Yildirim, Nilufer Ozdemir

Publikováno v: 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).

Epilepsy is a neurological disorder that affects a serious number of people all around the world. Detection of epileptic seizures using EEG signals occupies an important part in the diagnosis of epilepsy. The aim of this study is to develop a method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ebcf19c73ec3679bfcfd3a84209ebf86
https://doi.org/10.1109/siu.2011.5929775

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