Browsing by Author "Erdinc O."

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    Prevalence of sleep disorders in the Turkish adult population epidemiology of sleep study
    (Springer, 2015) Demir A.U.; Ardic S.; Firat H.; Karadeniz D.; Aksu M.; Ucar Z.Z.; Sevim S.; Ozgen F.; Yilmaz H.; Itil O.; Peker Y.; Aygul F.; Kiran S.; Gelbal S.; Cepni Z.; Akozer M.; Neyal A.; Cilli A.; Ozsancak A.; Kutlu A.; Salepci B.; Baklan B.; Oktay B.; Tuncel D.; Levent E.; Ekinci E.; Eyuboglu F.; Yildiz F.; Kirbas G.; Kaynak H.; Aydin H.; Boyaci H.; Bora I.; Oztura I.; Aslan K.; Gunhan K.; Habesoglu M.A.; Unlu M.; Demet M.; Dursunoglu N.; Tascilar N.; Yavuz N.; Erdinc O.; Araz O.; Dogan O.T.; Yetkin O.; Celik P.; Alp R.; Altin R.; Bilgin S.; Ismailogullari S.; Gazioglu S.; Ozkurt S.; Velioglu S.; Yetkin S.; Kuyucu T.; Atay T.; Uygunoglu U.; Tutar U.; Celik Y.; Bulbul Y.
    Sleep disorders constitute an important public health problem. Prevalence of sleep disorders in Turkish adult population was investigated in a nationwide representative sample of 5021 Turkish adults (2598 women and 2423 men, response rate: 91%) by an interviewer-administered questionnaire. Insomnia was defined by the DSM-IV criteria, habitual snoring and risk for sleep-related breathing disorders (SDB) by the Berlin questionnaire, excessive daytime sleepiness (EDS) by the Epworth sleepiness scale score, and restless legs syndrome (RLS) by the complaints according to the International Restless Legs Syndrome Study Group criteria. Mean age of the participants was 40.7 ± 15.1 (range 18 to 90) years. Prevalence rates (men/women) were insomnia 15.3% (10.5%/20.2%; P < 0.001), high probability of SDB 13.7% (11.1%/20.2%; P < 0.001), EDS 5.4% (5.0%/5.7%; P: 0.09), RLS 5.2% (3.0%/7.3%; P < 0.001). Aging and female gender were associated with higher prevalence of sleep disorders except for habitual snoring. Prevalence rates of the sleep disorders among Turkish adults based on the widely used questionnaires were close to the lower end of the previous estimates reported from different parts of the world. These findings would help for the assessment of the health burden of sleep disorders and addressing the risk groups for planning and implementation of health care. Sleep and Biological Rhythms © 2015 Japanese Society of Sleep Research.
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    Resilience-Oriented Restoration Strategy of Networked Microgrids Considering Grid Topology Against Data Intrusion Attacks
    (Institute of Electrical and Electronics Engineers Inc., 2023) Yaldiz A.; Gokcek T.; Erdinc O.; Ates Y.
    This paper presents a novel method for detecting and restoring networked microgrid (MG) systems compromised by topology attacks. A data intrusion attack detection (DIAD) system, utilizing machine learning techniques, is employed to identify tampered or malfunctioning smart meters. Simultaneously, an enhanced topology identification (TI) based graph learning algorithm is proposed to determine the exact fault locations and identify restoration MG zones for pre-event and post-event. A mixed integer linear programming (MILP) oriented approach is then utilized to optimize the load restoration process in networked MG areas. The goal is to rapidly restore critical loads with minimal losses, taking advantage of flexible fault support resources such as grid support storage systems (GSSs), photovoltaic systems (PV s), electric vehicle stations (EVSs), and mobile generators. The propounded model is evaluated, and the results show its effectiveness in handling various topology attack cases for load recovery. © 2023 IEEE.