| 4. | Egecan Ozcakar; Osman Sayginer; Gullu Kiziltas Design of a Wearable Microwave Antenna System for Breast Tumor Imaging (Proceedings Article) In: 2021 International Applied Computational Electromagnetics Society Symposium (ACES), pp. 1-4, 2021, ISSN: 1054-4887. @inproceedings{9528753,
title = {Design of a Wearable Microwave Antenna System for Breast Tumor Imaging},
author = {Egecan Ozcakar and Osman Sayginer and Gullu Kiziltas},
url = {https://ieeexplore.ieee.org/document/9528753},
doi = {10.1109/ACES53325.2021.00153},
issn = {1054-4887},
year = {2021},
date = {2021-08-01},
urldate = {2021-08-01},
booktitle = {2021 International Applied Computational Electromagnetics Society Symposium (ACES)},
pages = {1-4},
abstract = {Breast cancer is a very common and serious condition that affects many women and needs early intervention to minimize the impact on health. Differentiation of the cancerous tissue from the healthy tissue can be carried out using electromagnetic waves by utilizing the different responses due to varying electromagnetic material characteristics. The specific absorption rate is a measurement of the absorbed electromagnetic energy in a volume which can be very useful in the detection of cancerous tissue. In this work, we focus on the design of an antenna that is distinctive in its geometric properties as it is bendable in two axes (both x and y) and hence can fit onto a half-spherical array. An antenna array that consists of antennas of size 18mm x 18mm x 2 mm is designed to be conformal to a bra's shape. A three-layered 3D breast model of different tissue types and a tumor medium is used to investigate the specific absorption rate through simulations.},
keywords = {Conference, Supervised Work},
pubstate = {published},
tppubtype = {inproceedings}
}
Breast cancer is a very common and serious condition that affects many women and needs early intervention to minimize the impact on health. Differentiation of the cancerous tissue from the healthy tissue can be carried out using electromagnetic waves by utilizing the different responses due to varying electromagnetic material characteristics. The specific absorption rate is a measurement of the absorbed electromagnetic energy in a volume which can be very useful in the detection of cancerous tissue. In this work, we focus on the design of an antenna that is distinctive in its geometric properties as it is bendable in two axes (both x and y) and hence can fit onto a half-spherical array. An antenna array that consists of antennas of size 18mm x 18mm x 2 mm is designed to be conformal to a bra's shape. A three-layered 3D breast model of different tissue types and a tumor medium is used to investigate the specific absorption rate through simulations. |
| 3. | Z. Arslanturk; A. Sezgin; O. Sayginer Automated Design Framework for Thin Film Optical Coatings Using Material and Geometry Optimization (Conference) Şişecam International Glass Conference Combined With 34th Şişecam Glass Symposium “Glass In The Sustainable Future: Achieving What Is Possible, Istanbul, Turkey, 2019. @conference{cOllab3,
title = {Automated Design Framework for Thin Film Optical Coatings Using Material and Geometry Optimization},
author = {Z. Arslanturk and A. Sezgin and O. Sayginer},
url = {https://collab.sayginer.com/ifofo/abstract-presented-in-sisecam-34th-glass-symposium/},
year = {2019},
date = {2019-11-20},
booktitle = {Şişecam International Glass Conference Combined With 34th Şişecam Glass Symposium “Glass In The Sustainable Future: Achieving What Is Possible},
address = {Istanbul, Turkey},
abstract = {Thin-film optical coatings are commonly used elements in optical, electrical and architectural applications. Their ability to manipulate the spectral behavior of the light is especially beneficial in fields such as monitoring, sensing and communication. A thin film optical coating is a material layer made of dielectric or conductive material with nano to micrometer level thickness. Distribution of thin-film coating layers with different thickness and materials enable us to obtain optical systems with unique properties which cannot be achieved with a single material. In this work, we intended to develop a novel design tool which can replace commercial software available in the market. Thus, we propose an automated design framework enabling novel product developments for thin-film optical coatings. The goal of the framework is to build an autonomous design and optimization engine which can tailor the spectral response of an optical system by choosing coating materials, layer thicknesses and the number of layers. To do that, a Transfer Matrix Method is built based on a simulation model of the optical films. Then, the simulation model was coupled with the Genetic Algorithm which mimics the biological evolution. For a design objective, we aimed to lower transmission spectra response through the ultraviolet region while keeping the transmission response at the desired value for architectural purposes. Fabrication limitations were defined in collaboration with Turkiye Sise ve Cam Fabrikalari A.S. – Sisecam Science and Technology Center and they were incorporated in design process.
This project is being supported by The Scientific And Technological Research Council of Turkey (TUBITAK) 2209-B Industrial Research Funding Program for Undergraduate Students 2019/1},
keywords = {Conference, Supervised Work},
pubstate = {published},
tppubtype = {conference}
}
Thin-film optical coatings are commonly used elements in optical, electrical and architectural applications. Their ability to manipulate the spectral behavior of the light is especially beneficial in fields such as monitoring, sensing and communication. A thin film optical coating is a material layer made of dielectric or conductive material with nano to micrometer level thickness. Distribution of thin-film coating layers with different thickness and materials enable us to obtain optical systems with unique properties which cannot be achieved with a single material. In this work, we intended to develop a novel design tool which can replace commercial software available in the market. Thus, we propose an automated design framework enabling novel product developments for thin-film optical coatings. The goal of the framework is to build an autonomous design and optimization engine which can tailor the spectral response of an optical system by choosing coating materials, layer thicknesses and the number of layers. To do that, a Transfer Matrix Method is built based on a simulation model of the optical films. Then, the simulation model was coupled with the Genetic Algorithm which mimics the biological evolution. For a design objective, we aimed to lower transmission spectra response through the ultraviolet region while keeping the transmission response at the desired value for architectural purposes. Fabrication limitations were defined in collaboration with Turkiye Sise ve Cam Fabrikalari A.S. – Sisecam Science and Technology Center and they were incorporated in design process.
This project is being supported by The Scientific And Technological Research Council of Turkey (TUBITAK) 2209-B Industrial Research Funding Program for Undergraduate Students 2019/1 |
| 2. | Z. Arslanturk; A. Sezgin; O. Sayginer An Automated Design Framework for UV-AR Optical Filters (Conference) Nano-optics, Nanophotonics and Nanoplasmonics , 15th Nanoscience and Nanotechnology Conference , Antalya, Turkey, 2019. @conference{cOllab2,
title = {An Automated Design Framework for UV-AR Optical Filters},
author = {Z. Arslanturk and A. Sezgin and O. Sayginer},
url = {https://collab.sayginer.com/ifofo/abstract-presented-in-nanotr-15-conference/},
year = {2019},
date = {2019-11-05},
booktitle = {Nano-optics, Nanophotonics and Nanoplasmonics },
publisher = {15th Nanoscience and Nanotechnology Conference },
address = {Antalya, Turkey},
abstract = {Thin film optical filters are key components in optical, electrical and architectural applications. Thanks to their simple and flexible structures, these filters increase their popularity in numerous areas such as monitoring, sensing, communication etc. An optical filter consists of ordered dielectric material layers in the nano-micrometre thickness. Combination of these different layers can bring many superior properties which cannot be achieved with a single material, for instance, quarter-wave stack optical filters are widely used to block light at particular wavelengths. For this reason, the design of thin film structures plays an important role in research activities as well as product development.
In this study, we propose an automated design framework for UV-AR Optical Filters. The optical response of the filters is modeled and simulated using the Transfer Matrix Method. After that, the simulation model is coupled with the genetic algorithm which is a meta-heuristic optimization approach. The design objectives aim at to lower transmission spectra through the ultraviolet region while distributing equal transmission rates through the visible optical region in order to show realistic colors for architectural purposes. In order to achieve this goal, independently distributed material layers are considered for the initial design. Moreover, fabrication constraints are a defined in collaboration with Sisecam Turkey and limitations are taken into account through the design framework.
This project is being supported by The Scientific And Technological Research Council of Turkey (TUBITAK) 2209-B Industrial Research Funding Program for Undergraduate Students 2019/1
Keywords: Thin Film Optical Filters, Transfer Matrix Method, Genetic Algorithm, UV-AR Optical Filters},
keywords = {Conference, Supervised Work},
pubstate = {published},
tppubtype = {conference}
}
Thin film optical filters are key components in optical, electrical and architectural applications. Thanks to their simple and flexible structures, these filters increase their popularity in numerous areas such as monitoring, sensing, communication etc. An optical filter consists of ordered dielectric material layers in the nano-micrometre thickness. Combination of these different layers can bring many superior properties which cannot be achieved with a single material, for instance, quarter-wave stack optical filters are widely used to block light at particular wavelengths. For this reason, the design of thin film structures plays an important role in research activities as well as product development.
In this study, we propose an automated design framework for UV-AR Optical Filters. The optical response of the filters is modeled and simulated using the Transfer Matrix Method. After that, the simulation model is coupled with the genetic algorithm which is a meta-heuristic optimization approach. The design objectives aim at to lower transmission spectra through the ultraviolet region while distributing equal transmission rates through the visible optical region in order to show realistic colors for architectural purposes. In order to achieve this goal, independently distributed material layers are considered for the initial design. Moreover, fabrication constraints are a defined in collaboration with Sisecam Turkey and limitations are taken into account through the design framework.
This project is being supported by The Scientific And Technological Research Council of Turkey (TUBITAK) 2209-B Industrial Research Funding Program for Undergraduate Students 2019/1
Keywords: Thin Film Optical Filters, Transfer Matrix Method, Genetic Algorithm, UV-AR Optical Filters |
| 1. | Z. Arslanturk; A. Sezgin; O. Sayginer İnce Film Optik Filtreler İçin Otomatize Tasarim Sistemi (in Turkish) (Conference) 21st National Photonics Workshop (Fotonik ’19), Koc University, Istanbul, Turkey, 2019. @conference{cOllab3b,
title = {İnce Film Optik Filtreler İçin Otomatize Tasarim Sistemi (in Turkish)},
author = {Z. Arslanturk and A. Sezgin and O. Sayginer},
url = {https://collab.sayginer.com/ifofo/abstract-poster-presented-in-fotonik-19-workshop-in-turkish/},
year = {2019},
date = {2019-09-12},
booktitle = {21st National Photonics Workshop (Fotonik ’19)},
journal = {21st National Photonics Workshop (Fotonik ’19),},
address = {Koc University, Istanbul, Turkey},
keywords = {Conference, Supervised Work},
pubstate = {published},
tppubtype = {conference}
}
|
