Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi

Year 2024, Volume: 6 Issue: 2

İlhan Kosalay Yeliz Tanış

Abstract

Çalışmada, laboratuvar koşullarında oluşturulan bir deney ortamında dikey y ekseni boyunca 10’ar cm’lik aralıklarla belirli noktalarda kompakt floresan lambaların elektrik alan (EA) ve manyetik alan (MA) ölçümleri yapılmış ve 50-900 MHz frekans aralığında Kompakt flüoresan lambaların (KFL) davranışları incelenmiştir. Deney sonuçlarına göre, KFL’lerden yayılan radyo frekanslı elektromanyetik alanın insan sağlığına olan etkisi ICNIRP standartlarına göre karşılaştırılmış ve ICNIRP’nin belirlediği maruziyet sınırlarının çok altında olduğu görülmüştür. Deneylerde elde edilen veriler, Yapay Bağışıklık Sistemi’nin bir dalı olan Klonal Seçim Algoritması’nda (KSA) kullanılmış ve ölçüm yapılmayan noktalardaki EA ve MA değerleri tahmin edilmeye çalışılmıştır. Algoritma sonucu elde edilen tahmini verilerin doğruluğu, En Küçük Kareler Yöntemi’ni baz alan farklı bir hata mekanizması aracılığıyla incelenmiş ve kullanılan yöntemin doğruluğunu ispatlamak için sağlaması yapılmıştır. KSA kullanılarak yapılan hesaplamalar sonucunda memnun edici sonuçlara ulaşılmıştır.

Keywords

Klonal Seçim Algoritması, Kompakt Floresan, En Küçük Kareler Yöntemi

Examination of Electric & Magnetic Field in Compact Fluorescent via Clonal Selection Algorithm

Abstract

In this study, the measurements of electric field (EF) and magnetic field (MF) emitted by compact fluorescent lamps (CFLs) are performed in 11 measurement points with 10 cm intervals through y axis to examine treatment of CFLs for 50-900 MHz in an anechoic camber. According to the results of the experiments, the effect of radio frequency (RF) electromagnetic field (EMF) emitted by CFLs on human health was compared to ICNIRP (1998) standards and it was observed that the results of experiments are below the exposure limit values determined by ICNIRP. Empirical data are used in the Clonal Selection Algorithm (CSA), a branch of the Artificial Immune System, as input data and the values of EA and MA at the points not measured are estimated. The accuracy of the estimated data obtained as a result of the CSA is verified by a new error mechanism based on the Least Squares Method (LSM) and valid of this method is also checked. The calculation of CSA shows satisfactory results.

Keywords

Clonal Selection Algorithm, Compact Fluorescence, Least Squares Method

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