Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

Browse

Filters

20242

Settings

Access Right: Closed AccessPublisher: search.filters.publisher.Avestia Publishing

Search Results

Now showing 1 - 2 of 2
  • Conference Object
    Citation - Scopus: 1
    Pedestrian Equipment Anomaly Detection With Computer Vision in Warehouses
    (Avestia Publishing, 2024) Elçi,T.; Ünlü,M.Z.; Kantar,D.; Türker,A.Y.; Güney,H.; Ustaoğlu,A.
    The rapid growth of the logistics sector in recent years caused the expansion of warehouse areas and the increase in the number of equipment used. With the increase in these activities, the possibility of work accidents in warehouses also increases. In defiance of this situation, it has been determined that a real-time prediction system of pedestrian and equipment interaction is needed to ensure in-warehouse reliability. This system should address the urgent need to reduce the risk of work accidents and focus on the overall goal of reducing the possibility of work accidents in warehouse environments. To overcome this challenge, we propose a comprehensive Warehouse Anomaly Detection and Control System consisting of object detection, object tracking, action detection, and alarm classification components which will play an important role in increasing work safety in warehouse environments. YOLOv7 (You Only Look Once version 7) is a deep learning model that detects objects quickly and accurately in a single network pass. The deep learning-based Deep SORT algorithm used for object tracking provides a dynamic understanding of the warehouse environment by continuously storing these identified problems in real-time. The action detection part of this system is designed to identify and analyze actions and movements, recognizing anomalies and potential risks. In this part, the speed of pedestrians and equipment are detected utilization of 3D bounding boxes of objects and perspective transformation. The possible accident risks are measured using the intersection percentage of these areas, the magnitude of speed, the direction of the motion vector of pedestrian and equipment, and the distances between objects. Alert levels can be considered as encounter, near-miss, and emergency. Using this system in warehouses will reduce the risk of possible work accidents that may even result in death. © 2024, Avestia Publishing. All rights reserved.
  • Conference Object
    The Statistical Assessment of Variables Affecting Conservation Condition for Historic Houses
    (Avestia Publishing, 2024) Demir,H.A.; Bulut,N.; Turan,M.H.
    Conservation condition is the structural state of a historic building at a particular time. This study aims to determine the variables affecting conservation condition of heritage buildings in historic urban sites. The methodology includes selection of the case study, site survey and listing of historic house characteristics with conventional tools of architectural conservation, and determination of variables affecting their conservation condition with statistical tools. The houses in a portion of Kuyulu neighborhood, and in a portion of Kurtuluş Street, presenting variety in terms of built heritage characteristics in Antakya historic urban site, which experienced a destroying earthquake sequence in 2023, were focused on. The dataset prepared in 2019 site survey is examined by T-tests, ANOVA, regression, and exploratory spatial data analysis statistical tools. As a result, construction technique, land use, and number of storeys were determined as significant variables affecting conservation condition. While addressing abandonment issues and considering both commercial and residential functions for adaptive reuse can positively affect conservation conditions, it is crucial to recognize buildings with combined construction systems show a negative effect on conservation condition which should not be preferred in future constructions and need priority for consolidation interventions. Meanwhile, the construction period and alterations are revealed as insignificant variables on conservation condition. The study concludes that systematic planning, guided by statistical insights, can prioritize interventions and enhance positive variables corresponding to the heritage qualities that have positive impact on conservation condition while mitigating negative ones, thus ensuring the preservation of historic urban sites. © 2024, Avestia Publishing. All rights reserved.