By: Prof. Asoc. Dr. Teuta XHINDI
Editorial
Albania is blessed with a diverse range of renewable energy
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By, MSc. Ing. Armaldela KËRNAJA, Prof. Dr. Ing. Angjelin SHTJEFNI, Dr. Ing. Kreshnik HAKRAMA, MSc. Ing. Hasimin KEÇI
Abstract
Over the past decade, technological advances have led to the development of more economically feasible photovoltaic systems. These systems are ideal for areas where there is no electricity. Due to growing environmental concerns, new energy sources have been developed that are more sustainable and economically feasible. This means that photovoltaic energy will play a vital role in the production of electricity in industry. The purpose of this study is to understand more about the use of photovoltaic energy in Albania, the installation costs of a photovoltaic energy production system, are these systems assembled and installed according to the IEC 62116 standard. The objective of this study is to identify the models of photovoltaic energy systems that are marketed in Albania, if these systems are according to the European standard IEC 62116, to show the types and installation costs of these systems as well as to understand the amount of annual energy generated by a photovoltaic system that is used in Albania. The methodology used in this study is that of a qualitative and quantitative descriptive research. Descriptive research includes surveys and factfinding investigations of various kinds. We used the qualitative description when we talked about the types of systems, when we talked about the use of PV systems in Albania, but also when we talked about the use of systems according to the European standard IEC 62116. We used the quantitative description when we calculated the costs of installing the PV system in Albania but, and along the calculation of the amount of annual energy generated by a PV system that is used in Albania.
Keywords: Photovoltaic (PV) systems, Photovoltaic inverters, Active method, Passive method, Utility level methods, IEC 62116.
By, Eliona SKENDERAJ
Abstract
The daily activity of companies is closely related to data. Databases are growing and demand for data per unit of time is increasing and high performance is required to meet this demand. Big data is a collection of large volumes of complex data that exceeds the processing capacity of traditional database architecture. They are also so difficult to administer and organize, and for this reason, the best aim is to find the best and most effective solution. The purpose of this work is to identify the main performance issues that appear while working with databases with large capacities and to propose solutions for such cases. DBMS systems have implemented techniques and tools that monitor data activity and help to improve performance. One of the main directions that focuses on the work of the topic is that of writing requests “query design” in such a way that regardless of the size of the data required, these requests are not delayed and fail. The goal is that, regardless of the proposed writing method, it provides recommendations that will be practically applied in a data warehouse system. In this way, the benefit in performance will be compared. In the end of this paper, it was possible to find very effective and clear solutions.
Key words: Database, SQL, query, performance, large capacities.
By, MSc. Ing. Anius KOTORRI, Prof. Dr. Angjelin SHTJEFNI, MSc. Ing. Hasimin KEÇI
Abstract
This theoretical study delves into the conceptual underpinnings and theoretical frameworks essential for the establishment of a wind-solar hybrid park in Albania. Drawing upon established theories in renewable energy integration, this research examines the fundamental principles of wind and solar technologies, emphasizing their complementary attributes within a hybrid park setting. Theoretical models elucidating the integration, coordination, and optimization of these renewable sources are explored, aiming to address challenges such as intermittency and grid stability. The study further investigates theoretical frameworks concerning economic feasibility, policy support, and environmental sustainability, crucial for the successful implementation of such an initiative in Albania’s energy landscape. By synthesizing theoretical foundations, this study offers insights into the theoretical groundwork necessary to inform and guide the practical realization of a wind-solar hybrid park in Albania.
Keywords: Wind-solar hybrid park, Renewable Energy, Feasibility, Electrical energy, Frameworks
By, Msc. El. Ing. Jani PETRO
Abstract
Smart cities can promote sustainable urban development amidst urbanization and climate change. Urban planning and innovation are crucial to address global challenges. Smart urbanization emphasizes community involvement and sustainable resource use. Technology must consider its impact on daily life and the environment for climate-resilient cities. Smart cities improve infrastructure and public services, requiring supportive policies for inclusivity. Citizens actively contribute to finding solutions in a smart city. Smart cities are more than just technological concepts; they foster innovation and enhance daily life. By adopting a multidisciplinary approach, they address current and future challenges for sustainable and inclusive urban development. A sustainable and participatory vision is needed for shaping the cities of the future. The purpose of the article on intelligent urban areas is to clarify the notion of intelligent urban areas, to examine their benefits and challenges, to utilize specific instances to demonstrate the use of technology in the development of intelligent urban areas, and to offer a critical perspective on their impact on the lives of residents and the environment. Furthermore, it highlights the significance of scholarly research and knowledge in this field, emphasizing the role of academic inquiry in advancing our comprehension of intelligent urban area dynamics, identifying optimal methods, and addressing potential issues.
By, Jugerta GURABARDHI, Teuta XHINDI
Abstract
Industry 4.0, like in any other field, also in education, has made it possible for the activities of teaching to continue to develop and the efforts made are for distance learning or e-learning. This is related to the integration of systems that synchronize with computers, mobile phones and technology that can manage the learning system electronically.
Nowadays, modeling user preferences is one of the most important tasks challenging in e-learning systems. This research aims to use Data Mining (DM) for it analyzed the data collected from the learning management system (LMS) used in e-learning systems. The main goal is to predict the individual learning style by using the Moodle LMS platform and analyze the data through Data Mining techniques. With a large volume of data, such as the time spent on the page, as well as the actions taken by students on the platform, it is intended to adapt models to their current preferences. In this context, the research focuses on the use of Data Mining to improve the quality of education and identify models in educational environments. For her to accomplish this, the study uses well-known data mining techniques and uses an environment analysis called RapidMiner. The study describes how RapidMiner can be used to extract information from the raw data of students in the management system to the students. This paper uses student data captured in the UET LMS management system online teaching and analyzes different algorithms to choose the most suitable ones for the given model. In particular, the analysis of 10 million data records was carried out usage collected from the Learning Management System in 450 online university courses from the period March-June.
Keywords: Student Performance, Data Mining, Learning Management System, Analysis, Forecasting, RapidMiner, LMS.
By, Lediano DOSKU
Abstract
The ever-increasing reliance on networked systems has brought about a heightened need for robust network security measures. This diploma thesis aims to explore the effectiveness and practicality of employing honeypots as a means to enhance network security. Honeypots are decoy systems that are strategically deployed to attract potential attackers and gather valuable information about their tactics, techniques, and motives. By analyzing the data collected from honeypots, network administrators can gain crucial insights into emerging threats and vulnerabilities, thereby enabling them to fortify their network defenses. This research project will commence with an in-depth examination of honeypot concepts and classifications. It will delve into the various types of honeypots, including high-interaction, low-interaction, and hybrid honeypots, and their respective strengths and weaknesses. Furthermore, the study will explore the deployment strategies and legal considerations associated with honeypots, addressing ethical concerns and potential implications. Case studies will be conducted to showcase the practical applications of honeypots in real world, that help in detecting, deflecting, and mitigating potential cyber threats. In addition to their defensive capabilities, honeypots can play a vital role in understanding attacker behavior, such as their tactics, motives, and skill levels. This thesis will explore the potential of honeypots as early warning systems, enabling network administrators to proactively adapt their security measures and effectively counteract emerging threats.
Key words: high-interaction, low-interaction, hybrid, hacker, firewall, cyber threat, data, log, threat intelligence, false positive, false negative, IPS, IDS, SIEM, OSINT.