can uzun | Istanbul Technical University (original) (raw)

Papers by can uzun

Blucher Design Proceedings, Jun 1, 2024

Construction Innovation

Purpose This study presents an ontological approach to assess the architectural outputs of genera... more Purpose This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative adversarial network in representing building knowledge. Design/methodology/approach The proposed ontological assessment consists of five steps. These are, respectively, creating an architectural data set, developing ontology for the architectural data set, training the You Only Look Once object detection with labels within the proposed ontology, training the StyleGAN algorithm with the images in the data set and finally, detecting the ontological labels and calculating the ontological relations of StyleGAN-generated pixel-based architectural images. The authors propose and calculate ontological identity and ontological inclusion metrics to assess the StyleGAN-generated ontological labels. This study uses 300 bay window images as an architectural data set for the ontological assessment experiments. Find...

Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2014Thesis (M.Sc.) ... more Tez (Yüksek Lisans) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2014Thesis (M.Sc.) -- İstanbul Technical University, Institute of Science and Technology, 2014Teknolojinin hızla gelişimi ile birlikte üretilen bilgi de bir o kadar çoğalmıştır. Bilginin çoğalması bireylerin üretim etkinliğine dahil olmasıyla birlikte artış göstermiştir. Bilginin tanımı, mutlak bilgi olmaktan uzaklaşmış ve içerdiği belirsizlik ve bitmemişlik ile değişen, dönüşen, gelişen tanımlarını da içine alabilecek esnekliğe sahip olmuştur. Üretime artık bireyler dahil olabilirler. Etkileşim ile bilgi üreticisi de tüketicisi de bireyin kendisi olabilmektedir ve bilgi üretimi bu yolla artabilecektir. Bilgi sadece sözel değil görsel bilgi olarak ele alındığı zaman form bilgisinin de aynı aşamalardan geçebileceği söylenebilir. Formun üretim sürecine birey katılabilir ya da form da özgürleşerek, tamamen kendini üretebilecek yetkinliğe sahip olup olasılıkları kendi içerisinde üreten bir organizma haline de ...

Nexus Network Journal, Sep 8, 2022

Blucher Design Proceedings, 2021

The study aims to understand the how's and what's of creating an architectural dataset for genera... more The study aims to understand the how's and what's of creating an architectural dataset for generative adversarial nets through the evaluation of the effects of colors and shapes in image datasets on generative adversarial nets. Throughout the paper, six generative adversarial network training sessions are conducted on DCGAN and context-encoder algorithms with three different datasets having different complexities for colors and shapes. Firstly the color and shape complexities are analyzed for datasets. For color complexity, heuristic analyze is applied and for shape complexity, gray level occurrence matrix entropy which gives the textural complexity is utilized. In the end, the complexities and the training results are evaluated. Results show that color complexity has an important role for generative adversarial networks to generate colors correctly. Regularity in shape complexity /gray level co-occurrence matrix entropy distribution facilitates the algorithm training and shape generating processes.

Blucher Design Proceedings, 2019

This paper aims to develop a case study for training an algorithm to recognize architectural draw... more This paper aims to develop a case study for training an algorithm to recognize architectural drawings. In order to succeed that, the algorithm is trained with labeled pixel-based, architectural drawing (plan and section) dataset. During the training process, transfer learning (pre-training model) is applied. The supervised learning and convolutional neural network are utilized. After certain iterations, the algorithm builds awareness and can classify pixel-based plan and section drawings. When the algorithm is shown a section that is not produced with conventional drawing technic but through hybrid technics, it could predict the drawing class correctly with %80 of accuracy. On the other hand, some of the algorithm prediction is misoriented. We examined this prediction problem in the discussion section. The results illustrate that neural networks are successful in training algorithms to recognize and classify pixel-based architectural drawings. But for a highly accurate algorithm prediction, the dataset of the drawing images must be ordered, according to sample resolution, sample size and sample coherence for the dataset.

Lecture Notes in Computer Science, 2016

With the development of the computer technology, new ways of model making become an alternative f... more With the development of the computer technology, new ways of model making become an alternative for the representation of the design ideas. In this paper, we present a new design platform based on the mobile augmented reality technology for a co-design situation. A marker-based mobile augmented reality platform for the early phase of the co-design process is presented. A pilot study is conducted and the data is analyzed with the protocol analysis method. In the paper we provide some insights of the impact of the employment of the mobile augmented reality technology in the co-design situation.

Journal of Breath Research, 2020

AIM Lung adenocarcinoma is characterized by poor prognosis and short survival rates. Therefore, t... more AIM Lung adenocarcinoma is characterized by poor prognosis and short survival rates. Therefore, tools to identify the tumoural molecular structure and guide effective diagnosis and therapy decisions are essential. Surgical biopsies are highly invasive and not conducive for patient follow-up. To better understand disease prognosis, novel non-invasive analytic methods are needed. The aim of the present study is to identify the genetic mutations in formalin-fixed paraffin-embedded (FFPE) tissue, plasma, and exhaled breath condensate (EBC) samples by next-generation sequencing and evaluate their utility in the diagnosis and follow-up of patients with lung adenocarcinoma. METHOD FFPE, plasma, and EBC samples were collected from 12 lung adenocarcinoma patients before treatment. DNA was extracted from the specimens using an Invitrogen PureLink Genomic DNA Kit according to the manufacturer's instructions. Amplicon-based sequencing was performed using Ion AmpliSeq Colon and Lung Cancer Research Panel v2. RESULTS Genetic alterations were detected in all FFPE, plasma, and EBC specimens. The mutations in PIK3CA, MET, PTEN, SMAD4, and FGFR2 genes were highly correlated in six patients. Somatic and novel mutations detected in tissue and EBC samples were highly correlated in one additional patient. The EGFR p.L858R and KRAS p.G12C driver mutations were found in both the FFPE tissue specimens and the corresponding EBC samples of the lung adenocarcinoma patients. CONCLUSION The driver mutations were detected in EBC samples from lung adenocarcinoma patients. The analysis of EBC samples represents a promising non-invasive method to detect mutations in lung cancer and guide diagnosis and follow-up.

A/Z : ITU journal of Faculty of Architecture, 2020

This study aims to produce Andrea Palladio's architectural plan schemes autonomously with generat... more This study aims to produce Andrea Palladio's architectural plan schemes autonomously with generative adversarial networks(GAN), and to evaluate the plan drawing productions of GAN as a generative plan layout tool. GAN is a class of deep neural nets which is a generative model. In deep learning models, repetitive processes can be automated. Architectural drawing is a repetitive process in the act of architecture and plan drawing process can be made automated. For the automation of plan production system we used deep convolutional generative adversarial network (DCGAN) which is a subset of GAN models. And we evaluated the outputs of the DCGAN Palladian Plan scheme productions. Results show that not geometric similarities (shapes), but probabilistic models are at the centre of the generative system of GAN. For this reason, it should be kept in mind that while GAN algorithms are used as a generative system, they will produce statistically close visual models rather than geometrically close models. Nonetheless, GAN can generate both statistically and geometrically close models to the dataset. In first section we introduced a brief description about the place of the drawing in architecture field and future foresight of architecture drawings. In the second section, we gave detailed information about the literature on autonomous plan drawing systems. In the following sections, we explained the methodology of this study and the process of creating the plan drawing dataset, the algorithm training procedure, at the end we evaluated the generated plan schemes with rapid scene categorization and Frechet inception score.

Computational visual simulations are extremely useful and powerful tools for decision-making. The... more Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate Structure from Motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under realtime rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.

Bu calisma GAN algoritmasi ciktilarinin degerlendirildigi yontemlerin degerlendirilmesi uzerine b... more Bu calisma GAN algoritmasi ciktilarinin degerlendirildigi yontemlerin degerlendirilmesi uzerine bir calisma niteligindedir. GAN ciktisi degerlendirme yontemleri her nekadar literaturde kabul gormus olsa da mimari plan semalarindan olusan bir veri seti egitim ciktilarinda da GAN verimliliginin ayni degerlendirme yontemleri ile kullanilip kullanilmamasi cevaplanmasi gereken bir soru halindedir. Bu calisma boyunca GAN algoritmasinin alt sinifinda bulunan DCGAN algoritmasi ile uretilmis Palladyan plan semalarinin ve GAN algoritmasinin verimliligi degerlendilirmistir. Bu degerlendirme yapilirken GAN algoritmasinin literaturde kabul gormus nicel ve nitel degerlendirme yontemlerinden sirasiylsa Frechet Inception Distance ve hizli sahne siniflandirmasi kullanilmistir. Degerlendirme sonucunda bu yontemlerin mimari plan uretimi icin uygunlugu tartisilmistir. Metnin sonnda nicel ve nitel GAN degerlendirme yontemlerinin mimari plan semasi uretimlerini degerlendirmek uzere ozellesmis yeni yontem...

This paper reports the results of a protocol study which explores behavior of designers while the... more This paper reports the results of a protocol study which explores behavior of designers while they design in pairs using sketching (analogue and remote) and 3D modeling tools (co-located and remote) in co-located and remote locations. The design protocol videos were collected, transcribed, segmented and coded with the customized coding scheme. The coded protocol data was examined to understand the changes of designers’ co-design process and their activities of making representation in four different settings. This paper discusses the impact of location and types of representation on collaborative design. The paper concludes that designers were able to adapt their collaboration and design strategies in accordance with the affordability of the used digital environments.

GAN as a generative architectural plan layout tool: A case study for training DCGAN with Palladian Plans and evaluation of DCGAN outputs Üretken Mimari Plan Aracı Olarak GAN: Palladian Planları ile DCGAN Eğitimi ve DCGAN Çıktılarının Değerlendirilmesi için Bir Durum Çalışması, 2020

GAN as a generative architectural plan layout tool: A case study for training DCGAN with Palladia... more GAN as a generative architectural plan layout tool: A case study for training DCGAN with Palladian Plans and evaluation of DCGAN outputs
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Publications by can uzun

Communications in Computer and Information Science, 2017

© Springer Nature Singapore Pte Ltd. 2017. This paper reports the results of a protocol study whi... more © Springer Nature Singapore Pte Ltd. 2017. This paper reports the results of a protocol study which explores behavior of designers while they design in pairs using sketching (analogue and remote) and 3D modeling tools (co-located and remote) in co-located and remote locations. The design protocol videos were collected, transcribed, segmented and coded with the customized coding scheme. The coded protocol data was examined to understand the changes of designers’ co-design process and their activities of making representation in four different settings. This paper discusses the impact of location and types of representation on collaborative design. The paper concludes that designers were able to adapt their collaboration and design strategies in accordance with the affordability of the used digital environments.