Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Article Citation - WoS: 1Citation - Scopus: 1Real-Time Superficial Vein Imaging System for Observing Abnormalities on Vascular Structures(Springer, 2024) Altay, A.; Gumus, A.Circulatory system abnormalities might be an indicator of diseases or tissue damage. Early detection of vascular abnormalities might have an important role during treatment and also raise the patient’s awareness. Current detection methods for vascular imaging are high-cost, invasive, and mostly radiation-based. In this study, a low-cost and portable microcomputer-based tool has been developed as a Near-Infrared (NIR) superficial vascular imaging device. The device uses NIR Light-Emitting Diode (LED) light at 850 nm along with other electronic and optical components. It operates as a non-contact and safe infrared (IR) imaging method in real-time. Image and video analysis are carried out using OpenCV (Open-Source Computer Vision), a library of programming functions mainly used in computer vision. Various tests were carried out to optimize the imaging system and set up a suitable external environment. To test the performance of the device, the images taken from three diabetic volunteers, who are expected to have abnormalities in the vascular structure due to the possibility of deformation caused by high glucose levels in the blood, were compared with the images taken from two non-diabetic volunteers. As a result, tortuosity was observed successfully in the superficial vascular structures, where the results need to be interpreted by the medical experts in the field to understand the underlying reasons. Although this study is an engineering study and does not have an intention to diagnose any diseases, the developed system here might assist healthcare personnel in early diagnosis and treatment follow-up for vascular structures and may enable further opportunities. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.Conference Paper Citation - Scopus: 1Effect of Tsunami Induced Currents on Floating Pontoons With the Mooring Lines(American Society of Civil Engineers (ASCE), 2023) Ozbahceci, B.O.; Celik, H.; Girgin, E.; Yalciner, A.C.; Dogan, G.G.[No abstract available]Conference Paper Magnetic Levitation-Based Endothelial Cell Sorting(Institute of Electrical and Electronics Engineers Inc., 2023) Ozcan, H.A.; Kecili, S.; Tekin, H.C.Cell sorting for rare cells is crucial for diagnostic purposes. Circulating Endothelial Cells (CECs) can be used as cardiovascular disease markers. Due to the rareness of the CECs in the blood, an accurate, easy, cost and time-effective sorting method is a need. Magnetic levitation is a promising technique for observing differences in the average height of endothelial and white blood cells which does not require any labeling. This study aims to show that the magnetic levitation principle can be used for sorting endothelial cells from the blood. By using paramagnetic medium concentrations of 10 mM and 50 mM, the average levitation height between HUVECs used as a model endothelial cells and U937 cells used as model of white blood cells was measured as 65 μm and 32 μm, respectively. Since there is a significant difference in levitation height for HUVECs and U937 cells, magnetic levitation technology exhibits promising potential for the precise sorting of endothelial cells. © 2023 IEEE.Conference Object Serum Creatinine Detection in a Microfluidic Chip Using a Smartphone Camera(Chemical and Biological Microsystems Society, 2022) Karakuzu, B.; Tarim, E.A.; Tekin, H.C.We present a microfluidic chip platform to detect serum creatinine levels using the enzyme-linked immunosorbent assay (ELISA) principle. In the platform, surface modified microfluidic channel sensitively captured target molecules from the serum sample, and then ELISA protocol was applied inside the channels. Afterward, the blue color formed as a result of the enzymatic reaction was measured via a smartphone camera. The proposed strategy allows the detection of creatinine rapidly in a minute amount of the serum samples without the need for expensive equipment. Thus, chronic kidney disease (CKD) could be monitored easily at point-of-care settings via the proposed creatinine detection strategy. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.Conference Object Magnetic Levitation-Based Viscosity Measurement in a Microcappilary Channel(Chemical and Biological Microsystems Society, 2022) Doyran, O.; Tekin, H.C.Viscosity, has been known as the key rheological parameter, to characterize biological, chemical and physical material properties. In this work, we have developed a magnetic levitation-based viscosity measurement method in a microcapillary channel. For this purpose, polymer microspheres are utilized as microsensors to correlate solution viscosity to microspheres' velocity while microspheres are balanced at a stable levitation position. This inexpensive and practical system enables rapid viscosity measurement from low amount of sample. © 2022 MicroTAS 2022 - 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.Conference Object Quote Detection: a New Task and Dataset for Nlp(Association for Computational Linguistics, 2023) Tekir, S.; Güzel, A.; Tenekeci, S.; Haman, B.U.Quotes are universally appealing. Humans recognize good quotes and save them for later reference. However, it may pose a challenge for machines. In this work, we build a new corpus of quotes and propose a new task, quote detection, as a type of span detection. We retrieve the quote set from Goodreads and collect the spans through a custom search on the Gutenberg Book Corpus. We run two types of baselines for quote detection: Conditional random field (CRF) and summarization with pointer-generator networks and Bidirectional and Auto-Regressive Transformers (BART). The results show that the neural sequence-to-sequence models perform substantially better than CRF. From the viewpoint of neural extractive summarization, quote detection seems easier than news summarization. Moreover, model fine-tuning on our corpus and the Cornell Movie-Quotes Corpus introduces incremental performance boosts. Finally, we provide a qualitative analysis to gain insight into the performance. © 2023 Association for Computational Linguistics.Book Part Citation - Scopus: 3Renewable Energy Sources Utilized for Membrane Desalination Processes(Elsevier, 2023) Tomaszewska, B.; Akkurt, G.G.; Kaczmarczyk, M.; Kasztelewicz, A.; Mukti, M.; Gural, H.B.; Jarma, Y.A.Desalination has mostly been used to produce drinkable water due to the rapid increase in water scarcity. On the other hand, desalination processes require more energy than that of conventional water treatment methods. To decrease the consumption of fossil fuel and the cost of freshwater production, renewable energy sources (RESs) to power the desalination processes have been introduced. The RES used in desalination has a broad spectrum from photovoltaics, concentrated solar power, and wind energy to integrated RESs. In this chapter, desalination processes that are powered by RESs are discussed. Also, new generations of RESs in membrane desalination systems are introduced. © 2023 Elsevier Inc. All rights reserved.Conference Object Citation - Scopus: 2Lane Change Detection With an Ensemble of Image-Based and Video-Based Deep Learning Models(Institute of Electrical and Electronics Engineers Inc., 2023) Nalcakan, Y.; Bastanlar, Y.Prediction of lane-changing maneuvers of surrounding vehicles is important for autonomous vehicles to understand the scene properly. This research proposes a vision-based technique that only requires a single in-car RGB camera. The surrounding vehicles' maneuvers are classified as right/left lane-change or no lane change conforming to most lane change detection studies in the literature. The usual practice in previous studies is feeding individual video frames into CNN to extract features and afterward using an LSTM to classify the sequence of features. Differently, in our study, we exploit the power of ensembling the prediction results of two methods. The first one uses a small feature vector containing the image coordinates of the target vehicle and classifies it with an LSTM. The second method works with a simplified scene representation video (only the target vehicle and ego-lane highlighted) and it is based on a self-supervised contrastive video representation learning scheme. Since maneuver labeling is not required in the self-supervised learning step this enables the use of a relatively large dataset. After the self-supervised training, the model is fine-tuned with a labeled dataset. Our experimental study on a well-known lane change detection dataset reveals that both of the mentioned methods by themselves achieve state-of-the-art results and ensembling them increases the classification accuracy even more. © 2023 IEEE.Conference Object Software Product Line Testing Based on Event Sequence Graphs With Feature Expressions(Institute of Electrical and Electronics Engineers Inc., 2023) Kaya, D.O.; Tuglular, T.; Belli, F.Software Product Line testing is by its nature challenging, especially due to the exponential rise in the number of assets that need to be verified. Scalability and efficient verification, two challenges that model-based SPL testing must deal with, are discussed in this paper. An approach to automatically obtaining test suites for software product lines is proposed as a solution to these challenges. By exploiting Event Sequence Graphs with Feature Expressions, which concisely depict the Software Product Line behavior, the proposed approach automatically generates test sequences for different product configurations. The presented approach is applied to the illustrative case studies from the literature. © 2023 IEEE.Book Part Citation - Scopus: 1Electrocaloric Ceramics(Elsevier, 2023) Alkoy, S.; Okatan, M.B.; Mısırlıoğlu, I.B.; Menşur-Alkoy, E.Electrocaloric effect (ECE) is a coupling between thermal and electrical phenomena, specifically it is the change in the entropy of a dielectric material as a result of an electrical stimulus. Electrocaloric materials are currently being investigated as a solid state refrigeration approach for on-chip cooling applications. Among the organic and inorganic electrocaloric material choices, electrocaloric ceramics are at the forefront with their higher electrocaloric coefficients. This article gives a background on the fundamentals of electrocalorics and then discusses the general trends in the literature on the electrocaloric ceramics research. © 2023 Elsevier Inc. All rights reserved