Graduate School of Informatics

The emerging destructive Technologies such as big data, internet of things (IoT), cloud have revealed the Industry 4.0 revolution. Although Industry 4.0 technologies have very important benefits to the manufacturing sector, various obstacles may arise against the application of these technologies. The aim of this thesis is to make detailed studies on the Industry 4.0 revolution and to reveal the obstacles that may arise during the application of Industry 4.0 technologies to the Turkish manufacturing sector. Interpretive Structural Modeling (ISM) technique was used while establishing the relationship between the barriers in front of IE 4.0 adaptation. ISM Framework was obtained with the findings obtained as a result of the study.

Date: 25.01.2023 / 10:30 Place: A212

The fusion of information coming from different sensors (e.g., optics, audio, accelerometer) to recognize egocentric activities is still an active research area. Although the increase in sensor diversity brings out the need for adaptive fusion, there is a limited number of studies. In this work, we proposed two novel multi-modal decision fusion frameworks for egocentric activity recognition. The first framework combines hand-crafted features using Multi-Kernel Learning. The other framework utilizes deep features using a two-stage decision fusion mechanism. Additionally, a new egocentric activity dataset, named Egocentric Outdoor Activity Dataset (EOAD), was populated, containing 30 egocentric activities and 1392 video clips.

Date: 18.01.2023 / 14:00 Place: A108

A new method has been developed to study allosteric protein regulation, which is important for understanding how proteins function. The method represents proteins as networks and identifies allosteric pathways, or sites where molecules bind and regulate protein activity, in order to predict the presence and location of allosteric regions. This could potentially aid in the development of targeted therapies.

Date: 18.01.2023 / 10:00 Place: A212

Recent developments in IT and Analytics have created a multitude of technologies for analytics professionals to use. This technology variety complicates the technology selection process. When improper technologies are selected, analytics teams face problems, inefficiencies, and technical debt. To solve this problem, this thesis proposes a systematic technology selection approach and tests it on a case study.

Date: 29.12.2022 / 14:00 Place: A-108

The software industry is playing a significant role in development of economies all over the world. It is mainly made up of small and medium software enterprises (SMEs). These companies aim to benefit from Software Process Improvements (SPI) to increase product quality and productivity. As SPI require organizational change and adaptation to new work practices; organizations have to handle with several challenges emerged from this change. The objective of this study is to identify the factors that influence the success and the acceptance of SPI models used in SMEs. Moreover, it is aimed to analyze the attitude of SME employees towards the SPI models in Turkey.

Date: 25.01.2023 / 14:00 Place: B-116

With the widespread use of cloud computing in software development processes, many industries have started to use cloud computing. Within the scope of this study, a framework has been created to enable the use of cloud computing in the defense industry. While creating the framework, all the constraints required by the defense industry were complied with and the appropriate cloud structure was selected. At the end of the study, the use of the framework was confirmed by the defense industry employees.

Date: 19.01.2023 / 10:00 Place: ODTÜ Enformatik Enstitüsü

This research aims to enhance the perceptual quality of adversarial attacks, regardless of the type of attack used. To achieve this, the study proposes an integration of two seperate attack independent techniques. The first technique, called Normalized Variance Weighting, applies a variance map to intensify the perturbations in high variance areas. The second technique, called the Minimization Method, minimizes the perceptual distance between the benign and adversarial example iteratively. Integrated Method, with the first method applied during the attack and the second method applied after the attack has quantifically the best visual quality.

Date: 23.12.2022 / 10:00 Place: A108