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Development of a Smart City Platform: IoT Integration and AI-Driven Predictive Analytics for Environmental Sustainability
The rapid advancement of technology has transformed various aspects of daily life, giving rise to the concept of “smart” systems. From smartphones to smart homes and workplaces, technology has evolved to enhance efficiency and convenience. One of the most significant developments in this domain is the emergence of smart cities, which leverage a network of interconnected IoT devices and sensors to collect real-time data, improving urban management, public services, and the overall quality of life for citizens. This study focuses on the development of a platform for the UBT Smart City, designed to manage and visualize real-time data from various IoT sensors. In addition to providing a flexible solution for smart city management, the platform’s sensor data will be used to train machine learning models for applications such as air quality prediction, energy consumption prediction and agricultural monitoring. These AI-driven insights will further optimize resource usage and promote sustainability initiatives. This research highlights the potential of IoT and AI integration in creating smarter, more sustainable urban environments, and offers practical insights into the implementation of advanced technologies within urban and academic settings
Building efficient energy and pollution control
The purpose of the Research paper is through the development of new integrated low energy building solutions entirely based on extensive energy savings and renewable energy supply to meet the society’s demands of 2030 and beyond for zero energy buildings. This is an attempt to develop a working definition for Zero Energy Building, which can be used by the participants in the research paper to focus their research and their development of new technologies. Secondly, the working definition might also be used as basis for a discussion of ”Near Zero Energy Building” definition for future energy regulations in Kosovo that fulfills the recast of the EU Directive on Energy Performance of Buildings. A quantitative approach for managing construction pollution control that is based on construction resource leveling is presented. The parameters of construction pollution index, hazard magnitude are treated as a pseudo resource and integrated with a project’s construction schedule. When the level of pollution for site operations exceeds the permissible limit identified by a regulatory body, a genetic algorithm (GA) enhanced leveling technique is used to re‐schedule project activities so that the level of pollution can be re‐distributed and thus reduced. The GA enhanced resource leveling technique is demonstrated using some on‐site construction activities in a projec
Effective management of Design and Build contracts - Case study - Wastewater treatment plants in Kosovo
This research aims to analyze the most efficient methods of applying design and build contracts, highlighting its advantages and shortcomings in implementation. All the investigation was done in the different projects of wastewater treatment plants completed in cities of Kosovo. The methodology of this study is based on the application of mixed methods: Qualitative and Quantitative in an in-depth analysis of the literature, the case study, and interviews with the actors of the project on the lessons learned regarding the use of this type of contract in these projects. To evaluate the efficiency of the management of Design and Build contracts, criteria such as compliance with deadlines, budget, and quality of work and risk management were used. The findings of the study indicate that to achieve effective design and build contract management for such important infrastructure projects, it is necessary to implement best practices for design and build contracts including early contractor engagement, a strong procurement process, clear contract preparation and open communication. It also reflects on lessons learned for future investments in the wastewater sector in Kosovo to improve the management of public infrastructure projects
Improving User Experience and Personalization in Ecommerce Websites
Personalization in E-commerce platforms is pivotal in elevating user experience, making it a core concern for web developers and E-commerce professionals. Its success hinges on the ability to create tailored, engaging interactions between users and online shopping environments. This study examines key factors influencing user experience, such as website design, usability, responsiveness, and user satisfaction. We conducted a comprehensive review of existing literature on E-commerce user experience, followed by an in-depth analysis of personalization\u27s role. Specifically, we explore how user data, such as browsing history, preferences, and behavior can be leveraged to deliver personalized recommendations, content, and interactive features like chatbots. Furthermore, we investigate the application of advanced technologies, including artificial intelligence, machine learning, and data science, in enabling effective personalization. The study also addresses growing concerns around user privacy and data security in personalized E-commerce. We critically evaluate the ethical challenges and propose strategies to balance personalized experiences with user privacy protection. Through this comprehensive analysis of personalization techniques and their implications, this research provides actionable insights for developers and industry leaders seeking to create or enhance optimized online shopping platforms
Integrating Augmented Reality in UBT Smart City Infrastructure
This paper explores the role and evolution of Augmented Reality (AR) technology and its intersection with Digital Twin applications in modern systems. Through a comprehensive analysis of literature and case studies, the study identifies the advantages and potential applications of AR across various fields, including education, industry, and construction. Additionally, it highlights the historical development of AR and its current uses, focusing on its potential to improve efficiency and accuracy in many contexts. The research investigates the integration of AR with Digital Twin technology, examining the benefits and challenges arising from their interaction in practical scenarios. Using advanced tools such as Unity and AR Foundation, the developed application enables the real-time visualization and monitoring of sensor data across UBT campuses. The application provides quick, accurate, and real-time data, offering users an effective solution for monitoring sensors and freely navigating campus environments. In an era where timely access to information is crucial, this advanced technology offers a powerful tool for controlling environments and gaining deeper insights into the world around us
The role of cement type and origin in achieving concrete class
This study investigates the influence of the type and origin of cement on the final strength and quality of concrete. Cement is a crucial component in concrete production, directly affecting its durability and environmental resistance. The primary challenge in the industry is the failure to achieve the required concrete class within 28 days, often attributed to the cement\u27s origin and composition. Through laboratory testing, this research compares the performance of various cement types from different origins to assess their impact on the compressive strength of concrete. The results aim to provide a clearer understanding of the types of cement used in Kosovo and their role in achieving the actual concrete class based on the cement content in the concrete mix
Comparison of Synthetic and Real Earthquake Time Histories Recorded at Seismic Station Gjilan from the Peja Earthquake (Ml=5.1)
Based on the historical catalog of earthquakes and the seismic hazard map for a recurring period of 95, 475, 975 years, Kosovo has a high potential for seismic hazards, necessitating the integration of data from disciplines such as seismogeotecnic to assess these risks effectively. High-frequency seismic ground motions are critical for engineers conducting non-linear dynamic structural analysis, especially in performance-based seismic design. By simulating earthquake ground motions using models that accurately reflect variations in intensity and frequency over time, we can improve predictions of structural performance. The purpose of the development of artificial time-histories is to provide the designer with ground motion estimates which will meet the requirements of the design guidelines at the urban zones. Analyzing the characteristics of observed accelerograms from past earthquake events enhances the ability to mitigate seismic hazards. A background of the requirements for magnitude event is presented in this paper. The work done in generating time histories which produce response spectra of comparison syntetic and real seismic events. Finally, some preliminary results from studies performed using the magnitude earthquake Ml-5.1, recorded in Sesimic station of Gjila
Blockchain technology and cryptocurrencies in the execution of transactions
This paper examines the impact of blockchain technology and cryptocurrencies on the execution of financial transactions, exploring their potential to revolutionize existing systems. Blockchain technology, known for its high transparency and security, has the capacity to eliminate intermediaries, reduce transaction costs, and increase the efficiency of financial markets. Meanwhile, cryptocurrencies such as Bitcoin and Ethereum are transforming the way payments and value transfers are conducted, offering more secure and faster alternatives compared to traditional banking systems. The paper also addresses key challenges associated with these technologies, including scalability issues, underdeveloped regulatory frameworks, and high energy demands. By analyzing the literature and real-world use cases, this research identifies the potential benefits and challenges of implementing blockchain and cryptocurrencies, as well as their long-term prospects for global financial systems
The challenges of the digital transformation of a hospital according to the trends of innovative technological development
This paper deals with the information management process of the digital transformation of a hospital based on the integration of advanced technologies. The orientation of this transformation is patient healthcare and inter-institutional data protection by raising the level of security measures through Block chain technology. The purpose of this work is to take preventive measures of information security and cyber security violations. The transformational adaptation model fills the institution\u27s neglectful gaps in the delivery of health care and patient information through the electronic book. In addition, it advances technological development that adapts the intelligence approach to the infrastructure of medical care in the use of technological software. Technology enables new education for the parties involved in hospital communication, real-time monitoring with detailed patient and staff data. It eliminates the uncontrolled ranking of management - medical care and waiting for patients according to the program regulatory infrastructure. In this paper, comparative case studies from different hospitals in European countries that have adopted innovative digital technologies are presented. These case studies provide a clear picture of good managerial practices and create practical opportunities for significant improvements in hospital operations and patient care. The findings of this paper suggest that, despite the negligent staffing problems, the initial challenge is investment in digital transformation and successful implementation
Effects of Anesthesia on Cancerous Diseases of the Uterus in the Gynecology Department in Gjilan
The effects of anesthesia on cancerous diseases of the uterus present significant challenges in the field of gynecology. This study aims to explore these effects in the Gynecology Department in Gjilan. Between 2023 and 2024, this clinic evaluated patients undergoing treatment for uterine cancer. The focus was on assessing how anesthesia impacted their overall treatment outcomes and quality of life. The most common cancerous conditions observed were endometrial carcinoma, uterine sarcoma, and cervical cancer. Anesthesia management was tailored to each patient’s specific needs, with particular attention to those with complicated cases. Accurate patient history and appropriate anesthesia protocols are essential for optimizing the care of patients with uterine cancer. Our findings highlight the need for specialized anesthetic approaches to improve patient outcomes and en- hance the quality of life for those battling this disease