https://hdl.handle.net/20.500.11857/49 2026-06-02T14:53:14Z https://hdl.handle.net/20.500.11857/3667 The Effects of Overvoltage Aging on 20 kV XLPE Power Cable Uydur, Cihat Cagdas; Arıkan, Oktay; Küçükaydin, Barış; Dursun, Bekir; Kumru, Celal Fadil XLPE power cables have been widely used with the development of city power grid because of their obvious advantages. To improve the reliability of power supplies and meet the requirements of urban landscaping, however, faults in the electricity distribution grid and load/demand imbalance cause degradation in underground cables. This degradation leads the cable to be aged and reduce its lifetime. Therefore, it is important to examine the behavior of the XLPE insulated cable dielectric parameters. In this study, a 12/20 kV XLPE cable was aged using 60 kV overvoltage and this voltage was applied to the test samples for 15 minutes intervals. 80 cycles of aging were carried out and dissipation factor (tan delta), dielectric losses (P-k) and partial discharge (PD) measurements were performed after each aging cycle. OMICRON CPC100/CPTD1 was used to measure dissipation factor (tans), dielectric losses (Pk) and OMICRON MPD600 was used to measure partial discharge. 11th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2019 -- Bursa, TURKEY -- Chamber Elect Engineers Bursa Branch, Bursa Uludag Univ, Dept Elect Elect Engn, Istanbul Tech Univ, Fac Elect & Elect Engn, IEEE Turkey Sect 2019-01-01T00:00:00Z https://hdl.handle.net/20.500.11857/3641 Seasonal variation of pesticide accumulation and heat shock protein expressions in blood of people live in monoculture rice farming area in Edirne-Turkiye Doğanlar, Zeynep Banu; Doğanlar, O.; Doğan, A.; Gökalp, F. D.; Kahraman, O.; Tozkır, H.; Aktaş, Erhan [Abstract Not Available] 52nd Congress of the European-Societies-of-Toxicology (EUROTOX) -- SEP 04-07, 2016 -- Seville, SPAIN -- European Soc Toxicol 2016-01-01T00:00:00Z https://hdl.handle.net/20.500.11857/3620 Real-Time Traffic Classification using Simple CART Forest on FPGAs Soylu, Tuncay; Erdem, Oğuzhan; Carus, Aydın; Güner, Edip S. Traffic classification process categorizes internet traffic into application classes by exploiting packet header data or collected packet statistics. Real-time internet traffic classification is mostly required for network management and security applications. Machine Learning (ML) based traffic classification approaches which utilize statistical properties of traffic flows, have recently attracted great deal of attention from the researches due to its operability under encrypted traffic conditions. In this paper, we propose to use Simple Classification and Regression Trees Forest (SCF) for internet traffic classification. Our proposed scheme comprising multiple parallel trees demonstrates a substantial improvement in search delay and throughput as well as in the memory footprint when compared to a traditional single Simple CART structure. To reach high data rates for real-time classification, we also proposed a parallel and pipelined architecture on Field Programmable Gate Arrays (FPGAs) that support SCF data structure. The post place-and-route FPGA results demonstrate that our design can sustain 854 Gbps or 2669 million classification per second (MCPS) for the minimum packet size of 40 Bytes. Furthermore, our architecture shows an accuracy of 96.6719% for real internet traffic with eight application classes. IEEE 19th International Conference on High Performance Switching and Routing (HPSR) -- JUN 17-20, 2018 -- Bucharest, ROMANIA -- IEEE, IEEE Commun Soc 2018-01-01T00:00:00Z https://hdl.handle.net/20.500.11857/3618 Optimal wind-hydro solution for the Marmara region of Turkey to meet electricity demand (vol 36, pg 864, 2011) Dursun, Bahtiyar; Alboyacı, Bora; Gökçöl, Cihan [Abstract Not Available] 2012-01-01T00:00:00Z