Mühendislik, Mimarlık ve Tasarım Fakültesi

Permanent URI for this community

https://dspace.mudanya.edu.tr/handle/20.500.14362/73

Browse

Now showing 1 - 11 of 11

A modern approach to data privacy with federated learning
(Maltepe University, 2023) Kalkavan, Ziya Can; Şahinaslan, Ender; Şahinaslan, Önder; 122635
Today, information technologies and their usage areas are increasing day by day. Advanced technologies such as the internet of things, smart devices and applications, machine learning and arti cial intelligence are a driving force in the spread of their usage areas. The increase in prevalence and use also increases the production and sharing of data. This increase causes various security problems and concerns in terms of data privacy. Therefore, a balance has to be struck between the need for data sharing and its security. For this purpose, the use of federated learning methods has been examined. Traditional data sharing methods focus on centralized solutions for the processing of private and sensitive data of data subjects, but this causes various problems and raises concerns in the sharing of sensitive data. In the federated learning model, it trains locally without data sharing. It has a distributed arti cial intelligence approach that can run di erent resources together. Thus, it o ers an alternative solution that can help address data privacy concerns arising from the traditional method. In this study, the basic principles, usage areas, advantages and difficulties of federated learning, which is also accepted as a modern approach in data privacy, are discussed. The data and examples obtained in the study will be presented.
Bibliometric analysis and mapping of the benefits and challenges of cloud ERP systems
(İstanbul Üniversitesi, 2023) Şahinaslan, Önder; Şahin, Ahmet; Şahinaslan, Ender; 122635
Enterprise resource planning is an effective tool in achieving management goals. Cloud ERP systems and applications are platform-independent offerings of this management tool in a cloud environment. This study was carried out to make sense of the advantages, difficulties and relationships of the cloud ERP system with scientific studies. For this purpose, the Scopus, Web of Science and Google Scholar databases and the Publish or Perish, WOSviewer and Excel applications were used. Statistical analysis, text mining, word network association, visual mapping and trend analysis were performed. As a result of the analysis, it was found that the total rate of publications produced in the last 3 years was 43%, the most cited work was Springer (20%) and the country was the USA (10%). It was determined that the three most frequently used keywords were ‘cloud ERP’, ‘ERP system’ and ‘ERP’. A strong correlation was found between ‘study’ and ‘challenge’ in text mining. The challenge was closely related to ‘SMEs’, ‘data’, ‘provider’, ‘technology’, ‘literature’ and ‘cloud environment’. In recent studies, the concept of ‘cloud ERP implementation’ in SMEs has come to the fore.
Evolution of software development process from past to future: an important reflection of digital transformation
(Maltepe University, 2023) Nizamoğlu, Yekta Buğrahan; Şahinaslan, Ender; Şahinaslan, Önder; 122635; Değer, Özkan; Çakallı, Hüseyin
The software development process has undergone a great evolution from past to present. There is a rapid change from traditional software development methods to modern and innovative approaches. This change is an important re ection of digital transformation along with technological developments. Today, developments in many areas such as arti cial intelligence, machine learning, automatic code generation, smart test automation, low code development lead the change in the software development process. In the future, it is predicted that the software development process will evolve into faster, more reliable, exible and innovative methods with the impact of advanced technologies. This will a ect all environments that produce, operate and use the software and will cause radical changes in usage. In this study, the change and current situation of the software development process from past to present will be discussed. Predictions will be shared on how and in what way digital transformation and technological advances may a ect the process in the future.
Introductory Chapter: Tunnel Engineering – Rock Load Estimation and Support Design Methods
(Intechopen, 2022) Tosun, Hasan
Isolation in Sarah Kane's crave
(Ases, 2024-10) Mustafa, Esma; 392828; Akkoyunlu, Yağmur
Sarah Kane'in yazdığı Crave, isimsiz dört karakterin, A, B, C ve M'nin hayatlarındaki izolasyonun dokunaklı bir incelemesidir. Bu tek perdelik oyun, her karakterin en derin düşüncelerini ve kırılganlıklarını ortaya çıkarmasına izin veren fragmanlı bir anlatı yaklaşımı kullanır. Anımsatıcı ve şiirsel bir dille dolu monologları, yoğun bir yalnızlık ve duygusal boşluk hissini açığa çıkarır. Bu analiz, eserde tasvir edilen iletişim kopukluğu temasını incelemekte ve karakterlerin çağdaş toplum bağlamında anlamlı bağlantılar kurma mücadelelerini vurgulamaktadır. Çalışma, Kane'in bireylerin tecrübe ettiği izolasyonun yaygın doğasını nasıl temsil ettiğini aydınlatmayı amaçlamaktadır. Karakterlerin toplumsal çevrelerinden kopma hissinin arkasındaki nedenleri, izolasyonun onlar üzerindeki etkilerini ve maruz kaldıkları çeşitli izolasyon biçimlerini inceliyor. Bu unsurları mercek altına alan çalışma, Kane'in modern bağlamlarda izolasyonun yaygın ve çok yönlü doğasını nasıl gösterdiğine dair kapsamlı bir anlayış sunmayı amaçlıyor. Crave, kopukluğun damgasını vurduğu bir dünyada gerçek ilişkiler kurmanın zorluğuna dair ilgi çekici bir yorum olmayı sürdürüyor ve izolasyona karşı verilen asırlık mücadeleyi özetliyor. İzleyiciyi, evrensel izolasyon deneyimi ve insanların duygusal engelleri aşma ve gerçek bağlantıları keşfetme mücadelesi üzerine düşünmeye sevk ediyor.
Mathematical model to upcycle end-of-roll leftover fabrics in apparel manufacturing
(Sage, 2024-06) İşeri, Ali; Kılılaslan, Recep; 135066
This study addresses the problem of end-of-roll leftover fabrics originating after the production of baby/child apparel. The ineffective management of these leftovers results in excess inventory, occupies storage space, and imposes economic and environmental loads. To address this challenge, a novel mathematical modeling approach is proposed. The model maximizes the upcycling of leftovers by incorporating these into the manufacturing of garments while adhering to marketing, production, and ordering constraints. This model also introduces the feasibility of ordering new fabrics with a penalty, as defined by the decision makers, to increase utilization. The model was tested using actual end-of-roll leftover data. The upcycling utilization of leftovers was calculated to be between 57% and 87%. Notably, at an upcycling rate of 58%, 96% of the utilized fabrics were sourced from leftovers. The case study results validate the model efficacy and provide insights into leftover-fabric management.
Prediction of parking space availability using ARIMA and Neural Networks
(TMMOB Makina Mühendisleri Odası, 2023) Sebatlı Sağlam, Aslı; Cavdur, Fatih
It may be critical for drivers to have information about the occupancy rates of the parking spaces around their destination in order to reduce the traffic density, a non-negligible part of which caused by the trips to find an available parking space. In this study, we predict parking occupancy rates (and thus, space availability) using three different techniques: (i) auto-regressive integrated moving average model, (ii) seasonal auto-regressive integrated moving average model and (iii) neural networks. In the implementation phase, we use the data set of the on-street parking spaces of the well-known “SFpark” project carried out in San Francisco. We take into account not only the past occupancy rates of parking spaces, but also exogenous variables that affect the corresponding occupancy rates as day type and time period of the day. We make predictions with different model structures of each of the considered methods for each parking space with different parking occupancy patterns in the data set and then compare the results to find the best model design for each parking space. We also, evaluate the results in terms of the superiority of the methods over each other and note that the performance of neural networks is better than those of the other approaches in terms of the mean squared errors.
Psychological impact of disaster relief operations: a study following consecutive earthquakes in Turkey
(Cambridge University Press, 2024-05) İşeri, Ali; Baltacı, Recep; 135066
Objective: This cross-sectional study investigates the immediate psychological effects of disaster relief operations on team members following 2 consecutive major earthquakes in Turkey. Methods: A total of 170 participants, including professional firefighters, search and rescue (SAR) workers, and volunteers, were surveyed approximately 1 month after the conclusion of active SAR operations. The study utilizes the DSM-V criteria and the Posttraumatic Stress Disorder Checklist (PCL-5) to assess symptoms of post-traumatic stress disorder (PTSD) among participants. Results: The findings reveal a point prevalence of 35.3% for probable PTSD, highlighting the substantial psychological impact on disaster relief teams. Factors such as age, residency in affected areas, and active SAR involvement significantly influenced probable PTSD rates. Interestingly, actively engaged SAR members had lower probable PTSD rates, possibly due to their training. Those who directly witnessed the earthquakes had higher scores, highlighting the impact of firsthand exposure. Additionally, individuals aged 50 and above displayed a higher mean total severity score compared to younger participants. Conclusions: This research contributes to understanding the mental well-being of disaster relief professionals. The study’s findings underscore the importance of timely mental health support and training for these responders, emphasizing the need for preparedness in disaster relief teams.
Recent Evaluation on Total Risk of Cascade Dams on Murat River of Upper Euphrates Basin, Turkey
(IntechOpen, 2022) Tosun, Hasan
Special Topics in Dam Engineering
(IntechOpen, 2022) Tosun, Hasan
Theory and Practice of Tunnel Engineering
(Intechopen, 2022) Tosun, Hasan

Browse

Browsing Mühendislik, Mimarlık ve Tasarım Fakültesi by Language "en"

Results Per Page

Sort Options