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

Yıl 2024, Cilt: 6 Sayı: 2, 237 - 254, 31.08.2024
https://doi.org/10.47112/neufmbd.2024.46

Öz

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.

Etik Beyan

Bu çalışma Prof. Dr. İlhan KOŞALAY danışmanlığında 13.06.2019 tarihinde tamamladığımız “Yapay Bağışıklık Sistemi Algoritması Kullanılarak Kompakt Flüoresan Lambaların Radyo Frekanslı Elektromanyetik Alanlarının İncelenmesi” başlıklı yüksek lisans tezi esas alınarak hazırlanmıştır (Yüksek Lisans, Ankara Üniversitesi, Ankara, Türkiye, 2019).

Kaynakça

  • U. Arifoğlu, Matlab 7.14 Simulink ve Mühendislik Uygulamaları, Alfa Basım Yayın Dağıtım San. Ve Tic. Ltd. Şti. (2012).
  • B. Babayiğit, K. Güney, Klonal seçme algoritması kullanarak genlik ve faz kontrolü ile doğrusal anten dizi diyagramında sıfırların üretilmesi, Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu, Türkiye. (2006).
  • Bakos J, Nagy N, Juhász P, Thuróczy G, Spot measurements of intermediate frequency electric fields in the vicinity of compact fluorescent lamps, Radiation protection dosimetry. 142 no. 2-4 (2010), 354-357.
  • Costea, M., Băran, I., and Leonida, T, Different methods used to assess the radiated fields of economic lamps regarding human exposure, 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE) IEEE. (2015), 331-336.
  • Van Den Bossche, M., Verloock, L., Aerts, S., Joseph, W., and Martens, L, In situ exposure assessment of intermediate frequency fields of diverse devices, Radiation Protection Dosimetry. 164(3) (2015), 252-264.
  • Coca, E., Popa, V., and Buta, G, Compact fluorescent lamps electromagnetic compatibility measurements and performance evaluation, IEEE EUROCON-International Conference on Computer as a Tool. (2011), 1-4.
  • M. Çunkaş, Genetik Algoritmalar ve Uygulamaları Ders Notları. Selçuk Üniversitesi Teknik Eğitim Fakültesi, Konya. (2006).
  • Dasgupta, D, Advances in artificial immune systems, IEEE computational intelligence magazine. 1(4) (2006), 40-49.
  • De Castro, L. N., and Von Zuben, F. J, The clonal selection algorithm with engineering applications, In Proceedings of GECCO. (2000), 36-39.
  • De Castro, L. N., and Von Zuben, F. J. Learning and optimization using the clonal selection principle, IEEE transactions on evolutionary computation. 6(3) (2002), 239-251.
  • Y. He and C. Jian, Clonal Selection Algorithm with Adaptive Mutation and Roulette Wheel Selection, International Conference on Computational Intelligence and Security Workshops. (2007), 93-96.
  • A. Iagar, G.N. Popa, and C.M. Dinis, Study of electromagnetic radiation produced by household equipment, IOP Conference Series Materials Science and Engineering. (2017).
  • McRobbie, D, Concerning guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (1 hz–100 khz), Health physics. 100(4) (2002), 442.
  • Greensmith, J., Whitbrook, A. and Aickelin, U, Artificial immune systems, Handbook of Metaheuristics. (2010), 421-448.
  • Karaboğa, D. Yapay Zekâ Optimizasyon Algoritmaları, Nobelakademik Yayıncılık Eğitim Danışmanlık Tic. Ltd. Şti. (2014), 135-136.
  • Z. Kvasznicza and G. Elmer, Radio Frequency Emissions of Public Lighting Devices, 12th International Power Electronics and Motion Control Conference, Portoroz, Slovenia. (2006), 340-1344.
  • T. Letertre, A. Azoulay,A. Destrez, and F. Gaudaire, Characterization of compact fluorescent lights RF emissions in the perspective of human exposure, The International Symposium on Electromagnetic Compability. (2009).
  • J. Nadakuduti, M. Douglas, M. Capstick, S. Kühn, and N. Kuster, Application of an induced field sensor for assessment of electromagnetic exposure from compact fluorescent lamps, Bioelectromagnetics. 33(2) (2012), 166-175.
  • O. Engin, A. Döyen, Artificial Immune Systems And Applications In Industrial Problems, Gazi University Journal of Science. 17(1) (2010), 71–84.
  • W. Zhang, J. Lin, H. Jing, and Q. Zhang, A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization. Comput Intell Neurosci. (2016)
  • Manual Spectran V4. https://www.aaronia.com/downloads, ( erişim 21 Mart 2019).
  • N. G. Sengöz, F. Zeybek, Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images, Necmettin Erbakan University Journal of Science and Engineering. 5 (2) (2022), 8–25.
  • A. Pektaş, O. İnan, Ağaç Tohum Algoritmasının Kümeleme Problemlerine Uygulanması, Necmettin Erbakan University Journal of Science and Engineering. 4 (1) (2022), 1–10.
  • F. Özen, R. Ortaç Kabaoğlu, T. V. Mumcu, Deep Learning Based Temperature and Humidity Prediction, Necmettin Erbakan University Journal of Science and Engineering. 5 (2) 2023, 219–229.
  • F. Pop, C. Munteanu, A. Răcăşan and S. Pruşu, The assessment of human exposure to radiated fields from different types of lighting, International Conference on Modern Power Systems, Romania. (2017), 1-6.
  • A. Acakpovi, A. Ogunsola, S. Fakhry, N. Y. Asabere, H. Mohammed and K. Arthur, Evaluation of Electromagnetic Compatibility of Compact Fluorescent Lamp (CFL), International Conference on Communications, Signal Processing and Networks (ICCSPN), Ghana. (2019), 1-8.
  • Róbert I, Influence of Modern Lamps Number on Electromagnetic Noise Emission, International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering. (2019), 217-220.
  • E. Pajardo, A. Kinyua and D. H. Kang, A Sustainable Development Goal for a Campus: LED Vertical Illumination for a Classroom, IEEE Integrated STEM Education Conference (ISEC), USA. (2023), 26-32.
  • G. Iulian and G. Cărălin-Daniel, Interior Lighting, a Challenge for Yesterday's and Today's Engineering, International Conference on Electromechanical and Energy Systems (SIELMEN), Romania. (2023), 1-7.
  • T. Koerniawan, S. Yudho, G. Alviningsih, S. Ronaa, M. N. Qosim and D. Rusjdi, Optimization of Lighting Plan Based on Light Intensity and Magnetic Field Exposure for Residential Houses, International Seminar on Application for Technology of Information and Communication (iSemantic), Indonesia. (2023), 281-285.
  • S. Kumar and M. R. Kumar, Radiated Emission Characterization of LED, CFL & Incandescent Bulbs, Joint Asia-Pacific International Symposium on Electromagnetic Compatibility and International Conference on ElectroMagnetic Interference & Compatibility (APEMC/INCEMIC), India. (2023), 1-3.
  • S. Manoharan, B. Mahalakshmi, N. Preetha and A. K, A Study on Various Types of Lamps used in Domestic Sector and their Impact on Energy Efficiency, Second International Conference on Electronics and Renewable Systems (ICEARS), India. (2023), 222-226.

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

Yıl 2024, Cilt: 6 Sayı: 2, 237 - 254, 31.08.2024
https://doi.org/10.47112/neufmbd.2024.46

Öz

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.

Kaynakça

  • U. Arifoğlu, Matlab 7.14 Simulink ve Mühendislik Uygulamaları, Alfa Basım Yayın Dağıtım San. Ve Tic. Ltd. Şti. (2012).
  • B. Babayiğit, K. Güney, Klonal seçme algoritması kullanarak genlik ve faz kontrolü ile doğrusal anten dizi diyagramında sıfırların üretilmesi, Elektrik-Elektronik-Bilgisayar Mühendisliği Sempozyumu, Türkiye. (2006).
  • Bakos J, Nagy N, Juhász P, Thuróczy G, Spot measurements of intermediate frequency electric fields in the vicinity of compact fluorescent lamps, Radiation protection dosimetry. 142 no. 2-4 (2010), 354-357.
  • Costea, M., Băran, I., and Leonida, T, Different methods used to assess the radiated fields of economic lamps regarding human exposure, 9th International Symposium on Advanced Topics in Electrical Engineering (ATEE) IEEE. (2015), 331-336.
  • Van Den Bossche, M., Verloock, L., Aerts, S., Joseph, W., and Martens, L, In situ exposure assessment of intermediate frequency fields of diverse devices, Radiation Protection Dosimetry. 164(3) (2015), 252-264.
  • Coca, E., Popa, V., and Buta, G, Compact fluorescent lamps electromagnetic compatibility measurements and performance evaluation, IEEE EUROCON-International Conference on Computer as a Tool. (2011), 1-4.
  • M. Çunkaş, Genetik Algoritmalar ve Uygulamaları Ders Notları. Selçuk Üniversitesi Teknik Eğitim Fakültesi, Konya. (2006).
  • Dasgupta, D, Advances in artificial immune systems, IEEE computational intelligence magazine. 1(4) (2006), 40-49.
  • De Castro, L. N., and Von Zuben, F. J, The clonal selection algorithm with engineering applications, In Proceedings of GECCO. (2000), 36-39.
  • De Castro, L. N., and Von Zuben, F. J. Learning and optimization using the clonal selection principle, IEEE transactions on evolutionary computation. 6(3) (2002), 239-251.
  • Y. He and C. Jian, Clonal Selection Algorithm with Adaptive Mutation and Roulette Wheel Selection, International Conference on Computational Intelligence and Security Workshops. (2007), 93-96.
  • A. Iagar, G.N. Popa, and C.M. Dinis, Study of electromagnetic radiation produced by household equipment, IOP Conference Series Materials Science and Engineering. (2017).
  • McRobbie, D, Concerning guidelines for limiting exposure to time-varying electric, magnetic, and electromagnetic fields (1 hz–100 khz), Health physics. 100(4) (2002), 442.
  • Greensmith, J., Whitbrook, A. and Aickelin, U, Artificial immune systems, Handbook of Metaheuristics. (2010), 421-448.
  • Karaboğa, D. Yapay Zekâ Optimizasyon Algoritmaları, Nobelakademik Yayıncılık Eğitim Danışmanlık Tic. Ltd. Şti. (2014), 135-136.
  • Z. Kvasznicza and G. Elmer, Radio Frequency Emissions of Public Lighting Devices, 12th International Power Electronics and Motion Control Conference, Portoroz, Slovenia. (2006), 340-1344.
  • T. Letertre, A. Azoulay,A. Destrez, and F. Gaudaire, Characterization of compact fluorescent lights RF emissions in the perspective of human exposure, The International Symposium on Electromagnetic Compability. (2009).
  • J. Nadakuduti, M. Douglas, M. Capstick, S. Kühn, and N. Kuster, Application of an induced field sensor for assessment of electromagnetic exposure from compact fluorescent lamps, Bioelectromagnetics. 33(2) (2012), 166-175.
  • O. Engin, A. Döyen, Artificial Immune Systems And Applications In Industrial Problems, Gazi University Journal of Science. 17(1) (2010), 71–84.
  • W. Zhang, J. Lin, H. Jing, and Q. Zhang, A Novel Hybrid Clonal Selection Algorithm with Combinatorial Recombination and Modified Hypermutation Operators for Global Optimization. Comput Intell Neurosci. (2016)
  • Manual Spectran V4. https://www.aaronia.com/downloads, ( erişim 21 Mart 2019).
  • N. G. Sengöz, F. Zeybek, Sharp Silhouettes for Obtaining 3D Body Measurements from 2D Images, Necmettin Erbakan University Journal of Science and Engineering. 5 (2) (2022), 8–25.
  • A. Pektaş, O. İnan, Ağaç Tohum Algoritmasının Kümeleme Problemlerine Uygulanması, Necmettin Erbakan University Journal of Science and Engineering. 4 (1) (2022), 1–10.
  • F. Özen, R. Ortaç Kabaoğlu, T. V. Mumcu, Deep Learning Based Temperature and Humidity Prediction, Necmettin Erbakan University Journal of Science and Engineering. 5 (2) 2023, 219–229.
  • F. Pop, C. Munteanu, A. Răcăşan and S. Pruşu, The assessment of human exposure to radiated fields from different types of lighting, International Conference on Modern Power Systems, Romania. (2017), 1-6.
  • A. Acakpovi, A. Ogunsola, S. Fakhry, N. Y. Asabere, H. Mohammed and K. Arthur, Evaluation of Electromagnetic Compatibility of Compact Fluorescent Lamp (CFL), International Conference on Communications, Signal Processing and Networks (ICCSPN), Ghana. (2019), 1-8.
  • Róbert I, Influence of Modern Lamps Number on Electromagnetic Noise Emission, International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering. (2019), 217-220.
  • E. Pajardo, A. Kinyua and D. H. Kang, A Sustainable Development Goal for a Campus: LED Vertical Illumination for a Classroom, IEEE Integrated STEM Education Conference (ISEC), USA. (2023), 26-32.
  • G. Iulian and G. Cărălin-Daniel, Interior Lighting, a Challenge for Yesterday's and Today's Engineering, International Conference on Electromechanical and Energy Systems (SIELMEN), Romania. (2023), 1-7.
  • T. Koerniawan, S. Yudho, G. Alviningsih, S. Ronaa, M. N. Qosim and D. Rusjdi, Optimization of Lighting Plan Based on Light Intensity and Magnetic Field Exposure for Residential Houses, International Seminar on Application for Technology of Information and Communication (iSemantic), Indonesia. (2023), 281-285.
  • S. Kumar and M. R. Kumar, Radiated Emission Characterization of LED, CFL & Incandescent Bulbs, Joint Asia-Pacific International Symposium on Electromagnetic Compatibility and International Conference on ElectroMagnetic Interference & Compatibility (APEMC/INCEMIC), India. (2023), 1-3.
  • S. Manoharan, B. Mahalakshmi, N. Preetha and A. K, A Study on Various Types of Lamps used in Domestic Sector and their Impact on Energy Efficiency, Second International Conference on Electronics and Renewable Systems (ICEARS), India. (2023), 222-226.
Toplam 32 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Aydınlatma
Bölüm Makaleler
Yazarlar

İlhan Kosalay 0000-0001-9231-416X

Yeliz Tanış 0000-0003-3177-487X

Erken Görünüm Tarihi 26 Temmuz 2024
Yayımlanma Tarihi 31 Ağustos 2024
Gönderilme Tarihi 27 Şubat 2024
Kabul Tarihi 17 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 6 Sayı: 2

Kaynak Göster

APA Kosalay, İ., & Tanış, Y. (2024). Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi. Necmettin Erbakan Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, 6(2), 237-254. https://doi.org/10.47112/neufmbd.2024.46
AMA Kosalay İ, Tanış Y. Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi. NEU Fen Muh Bil Der. Ağustos 2024;6(2):237-254. doi:10.47112/neufmbd.2024.46
Chicago Kosalay, İlhan, ve Yeliz Tanış. “Klonal Seçim Algoritması Ile Kompakt Flüoresan Lambalarda Elektrik Ve Manyetik Alan İncelenmesi”. Necmettin Erbakan Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi 6, sy. 2 (Ağustos 2024): 237-54. https://doi.org/10.47112/neufmbd.2024.46.
EndNote Kosalay İ, Tanış Y (01 Ağustos 2024) Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi. Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 6 2 237–254.
IEEE İ. Kosalay ve Y. Tanış, “Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi”, NEU Fen Muh Bil Der, c. 6, sy. 2, ss. 237–254, 2024, doi: 10.47112/neufmbd.2024.46.
ISNAD Kosalay, İlhan - Tanış, Yeliz. “Klonal Seçim Algoritması Ile Kompakt Flüoresan Lambalarda Elektrik Ve Manyetik Alan İncelenmesi”. Necmettin Erbakan Üniversitesi Fen ve Mühendislik Bilimleri Dergisi 6/2 (Ağustos 2024), 237-254. https://doi.org/10.47112/neufmbd.2024.46.
JAMA Kosalay İ, Tanış Y. Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi. NEU Fen Muh Bil Der. 2024;6:237–254.
MLA Kosalay, İlhan ve Yeliz Tanış. “Klonal Seçim Algoritması Ile Kompakt Flüoresan Lambalarda Elektrik Ve Manyetik Alan İncelenmesi”. Necmettin Erbakan Üniversitesi Fen Ve Mühendislik Bilimleri Dergisi, c. 6, sy. 2, 2024, ss. 237-54, doi:10.47112/neufmbd.2024.46.
Vancouver Kosalay İ, Tanış Y. Klonal Seçim Algoritması ile Kompakt Flüoresan Lambalarda Elektrik ve Manyetik Alan İncelenmesi. NEU Fen Muh Bil Der. 2024;6(2):237-54.


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