Journal of Transactions in Systems Engineering https://journals.tultech.eu/index.php/jtse <p><strong>Journal of Transactions in Systems Engineering (JTSE)</strong> is an open-access and peer-reviewed journal that provides the latest research and developments in all theoretical and practical aspects and fields of engineering applications, informatics, and engineering systems design. The journal publishes three times a year (January, June, and October). All the content is freely available without charge to the user or his/her institution. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author. This is in accordance with the DOAJ and BOAI definition of open access..</p> en-US kdhoska@upt.al (Assoc. Prof. Dr. Klodian Dhoska) jtse.tultech@gmail.com (Administrator) Fri, 13 Dec 2024 23:26:39 +0100 OJS 3.3.0.15 http://blogs.law.harvard.edu/tech/rss 60 Motivational Electronic Waste Management System in CXI, Technical University of Liberec https://journals.tultech.eu/index.php/jtse/article/view/235 <p style="font-weight: 400;">The growing amount of e-waste has become a major problem, especially in industrialized areas like the Czech Republic, where 15.7 kg of e-waste was produced annually per person in 2019. This study responds by offering a motivating e-waste management program targeted at the Technical University of Liberec (TUL), the CXI, and the surrounding area. The program predicts significant economic gains through the use of metal recovery techniques, particularly electrolysis: roughly 165,000 CZK per year at CXI, more than 5 million CZK at TUL, 85 million CZK in Liberec, and up to 8.6 billion CZK nationwide. These figures take into account the profits from metal recovery, and they might be improved even more by include the costs of trash management services. The suggested approach, which offers a range of incentives to employees and community members, has the potential to create a circular economy, increase financial returns, and promote environmental sustainability. In order to increase exposure and awareness, the initiative also involves local schools and integrates public participation. The goal of this community driven strategy is to establish TUL as a leader in environmentally friendly operations.</p> Mohammad Gheibi, Seyyed Roohollah Masoomi, Mahad Uzairu Magala, Diana Nalugo, Aisha Twahir Hussein Kassim Copyright (c) 2024 https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/jtse/article/view/235 Sat, 14 Dec 2024 00:00:00 +0100 3D Magnetic Resonance Image Segmentation Using HD Brain Extraction in 3D Slicer https://journals.tultech.eu/index.php/jtse/article/view/247 <div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>Applications of image processing in radiology and radiation are critical for the development of models, simulations, and computational tools. 3D Slicer is a widely used platform for processing, segmenting, visualizing, registering, and analyzing medical images, as well as for image-guided treatments. Image segmentation, which focuses on identifying specific regions in the image such as tumors or lesions, is one of the most common challenges in medical image processing. In this research work we have utilized 3D Slicer to implement simulation techniques and automation for imaging diagnostics, computation, and prediction. This paper expands on the HD Brain Extraction module in 3D Slicer to autonomously segment brain MRI images using artificial intelligence. To optimize the brain extraction process, various adjustable parameters including segmentation techniques, threshold values, and smoothing factors are fine-tuned. The brain is then extracted from MRI images for further analysis and visualization.</p> </div> </div> </div> Elda Spahiu, Dafina Xhako, Niko Hyka, Suela Hoxhaj Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/jtse/article/view/247 Wed, 05 Feb 2025 00:00:00 +0100 Mapping Ground Displacement Near the Former Dhrovjani Salt Mine Using Differential Radar Interferometry https://journals.tultech.eu/index.php/jtse/article/view/264 <p>Remote sensing and Geographic Information Systems (GIS) are essential tools for estimating and monitoring land subsidence. Over the past fifteen years, various applications of deformation analysis using Differential SAR Interferometry (DInSAR) have been developed. This study employs the two-pass interferometric method to assess ground deformation near a closed rock salt mine in southern Albania. By analyzing two radar images captured at different times from the same satellite position, we measure phase differences to create an interferogram. This interferogram illustrates phase shifts that can be converted into a ground deformation map, indicating surface changes in the radar line-of-sight (LOS) direction. The methodology, termed differential interferometry, allows for detecting relative surface deformation with high precision. The interferometric processing workflow, consisting of core registration, interferogram generation, phase unwrapping (executed using SNAPHU), and displacement mapping, showcases the method’s effectiveness in capturing and analyzing surface movement. Accurate interpretation at each phase is vital for reliable results.</p> Pietro Belba, Jorgaq Thanas Copyright (c) 2025 https://creativecommons.org/licenses/by/4.0 https://journals.tultech.eu/index.php/jtse/article/view/264 Tue, 29 Apr 2025 00:00:00 +0200