Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Serkan KESER"'
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 11, Iss 2, Pp 1094-1104 (2023)
Bu çalışmada içeriden beslemeli X bandında çalışan yeni bir dikdörtgen yama anten yapısı önerilmiştir. Üzerinde yapılan tasarım işlemleri ile antenin, tek bantta çalışan geleneksel mikroşerit yama antenden X bandı ve Ku bandınd
Externí odkaz:
https://doaj.org/article/c9ab5060d2b146249a9102e909ba5fe3
Publikováno v:
Düzce Üniversitesi Bilim ve Teknoloji Dergisi. 11:1094-1104
Bu çalışmada içeriden beslemeli X bandında çalışan yeni bir dikdörtgen yama anten yapısı önerilmiştir. Üzerinde yapılan tasarım işlemleri ile antenin, tek bantta çalışan geleneksel mikroşerit yama antenden X bandı ve Ku bandınd
Autor:
Serkan KESER
Publikováno v:
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 12:215-225
In this study, a new Karhunen-Loeve transform based algorithm with acceptable computational complexity is developed for lossy image compression. This method is based on obtaining an autocorrelation matrix by clustering the highly correlated image row
Publikováno v:
SSRN Electronic Journal.
This study designed and experimentally verified a simple and low-cost anemometer based on Fresnel reflection using Polymer Optical Fiber (POF). The system was developed especially for wind speed measurement in harsh environmental conditions such as h
Autor:
Serkan Keser, Şekip Esat Hayber
In this study, a sensor tip with a metallic hemispherical nozzle tip (MHNT) design based on the Fabry-Perot interferometer was developed for surface roughness recognition (SRR). Sandpaper samples with ten different arithmetical mean deviations of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25bd1e0bb833f398314bebc9244a7bcf
https://hdl.handle.net/20.500.12513/4470
https://hdl.handle.net/20.500.12513/4470
Autor:
Serkan KESER
Publikováno v:
Issue: 31 34-39
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Gün geçtikçe cihazların uzaktan kontrolünü gerçekleştiren tanıma sistemleri gelişmektedir. En çok kullanılan tanıma sistemleri olarak konuşma, yüz ve parmak izi tanıma sistemleri gösterilebilir. Konuşma tanıma sistemleri güvenlik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::771328b834c36b7ba83f401815d433ec
https://dergipark.org.tr/tr/pub/ejosat/issue/66239/969608
https://dergipark.org.tr/tr/pub/ejosat/issue/66239/969608
Autor:
Serkan KESER
Publikováno v:
Volume: 9, Issue: 2 424-435
El-Cezeri
El-Cezeri
In this paper, we discuss image compression techniques based on the eigenvector matrices used the Karhunen-Loeve Transform (KLT) is obtained. Two novel methods are proposed for the grouping of eigenvectors via vector quantization in the KLT subspace.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f16907abd73609ab7e5e068b78c4c8e
https://dergipark.org.tr/tr/pub/ecjse/issue/70108/951417
https://dergipark.org.tr/tr/pub/ecjse/issue/70108/951417
Publikováno v:
Sensors and Actuators A: Physical. 287:76-83
WOS: 000460825600007 In the pulsed laser photoacoustic (PA) detection and spectroscopy applications, the fundamental frequency of the PA signal produced, and the sensor resonance frequency should be as close as possible to each other so that analyzes
Autor:
Serkan Keser, Şekip Esat Hayber
Publikováno v:
Optical Fiber Technology. 57:102229
Sound source localization (SLL), which is an area of multi-point acoustic detection, has always been an important research topic since it has been employed in many applications. It has been notable to use fiber optic sensors in the SSL due to the adv
Publikováno v:
Speech Communication. 94:50-61
WOS: 000414819300005
In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue magnitud
In this study, two novel methods, which are based on Karhunen Loeve Transform (KLT) and Independent Component Analysis (ICA), are proposed for coding of speech signals. Instead of immediately dealing with eigenvalue magnitud