The main purpose of this paper is to build an intelligent electronic system based on LDR (Light Dependent Resistor) sensor. A very interesting but also very useful part of this scientific research is the measurement of electrical quantities with high precision as intelligent machines know and can achieve, and one of them in this case is the Arduino Uno microcontroller. These measurements of electrical quantities such as voltage, resistance, and current intensity are used in programmable logic in the microcontroller to decide when to light a light or more and when not to light. Of course, this problem has been solved by using the LDR sensor in the electronic system. Such an electronic and programmable system works perfectly. The work itself contains solutions of electrical circuits in an analytical way, connection of electronic circuits with the Arduino Uno module, communication with the input and output devices of the ATMEGA 328P microcontroller interface and the fusion of the source code - Sketch. This paper will serve as a good basis for further research in determining the wavelength of light which represents an obstacle for people with vision problems. All the measurements of electrical quantities through the Arduino Uno microcontroller have also been confirmed with the measurements made through the universal voltmeter instrument. The results of each measurement are very approximate, of course, many times faster and more accurate than those with a microcontroller.

The main purpose of this paper is to describe how the construction of the project was carried out, which controls the entries and exits in the parking lot of vehicles "SMART PARKING" at the Public University "Kadri Zeka" in Gjilan, in the Republic of Kosovo. In fact, this paper deals with the digitalization of vehicle parking lots. This project uses hardware and software components for its realization. Hardware components operate according to software instructions executed according to a working program code within a closed and endless programming cycle. This automatic form of operation of a digital car park not only regulates the traffic inside the car park but also satisfies the drivers of the vehicles with information given in a display or monitor. The information refers to vacancies in the parking lot and informs the driver of the vehicle about whether or not he can park his vehicle by allowing or not allowing the opening of the barrier. On the other hand the system becomes even more sophisticated when at the entrance of the smart parking lot is placed the key for searching for the opening of the barrier which may not open if there are no free parking spaces. All of this is controlled by software written in the C ++ programming language, of course within the Arduino UNO programming environment. Therefore, the electronic-hardware devices used in this paper/project are directed by the relevant software placed in the memory of the microcontroller in the system "Smart Parking”. The reason for building this automatic vehicle parking system is to control and prevent the attempted parking of vehicles that would seriously impede the exit of previously parked vehicles in the parking lot of the Public University "Kadri Zeka" in the city of Gjilan, Republic of Kosovo.

This research aims to identify the impact of the E-management system on the work of teachers, parents, and students. Enrolling students with all the information and keeping grades, behaviors, activities, and, most importantly, analytical reports should be an easy process for teachers through the E-system. Parents can track their child's progress at the right time while students receive teacher notifications, complete quizzes, access their success, track their shortcomings, and many other benefits. The paper focuses on the following research objectives: the impact of the Management System on the organization of the teacher's class, research on the effects of the Management System in creating and generating analytical reports for each student, analysis of the impact of the Management System on the communication of the teacher with students as well as with parents, Investigating the effects of the Management System on the teacher's will and researching the impact of the Management System on commitment and work by the teacher.

The objective of this study is the application of technology in the process of learning by students with special needs. The author argued that the integration of information technology and various technological device help in enhancing learning outcome and social skills of students with disabilities., whether in the educational process or in socialization. The research methods used are of the combined type: quantitative and qualitative. Quantitative methods are part of the empirical research that involves parents, support teachers, school management, and representatives of associations of persons with disabilities. On the other hand, the qualitative method was employed to the focus group with 6 participants, with disabilities and a support teacher, where the discussion was assisted by the support teacher.

Nowadays we have so much images provided by different types of machines, while we need to store them or transfer to other devices or via internet, we need to compress them because the images usually have large amount of size. Compressing them reduces time for transferring files. The compression can be done with different methods and software in order to reduce their capacity expressed in megabytes as much as tens of hundreds of gigabytes for more files. It is well known that the speed of information transmission depends mainly on its quantity or the capacity of the information package. Image compression is a very important task for data transfer and data storage, especially nowadays because of the development of many image acquisition devices. If there is no compression technique used on these data, they may occupy immense space of memory, or render difficult data transmission. Artificial Neural Networks (ANN) have demonstrated good capacities for lossy image compression. The ANN algorithm we investigate is BEP-SOFM, which uses a Backward Error Propagation algorithm to quickly obtain the initial weights, and then these weights are used to speed up the training time required by the Self-Organizing Feature Map algorithm. In order to obtain these initial weights with the BEP algorithm, we analyze the hierarchical approach, which consists in preparing the image to compress using the quadtree data structure by segmenting the image into blocks of different sizes. Small blocks are used to represent image areas with large-scale details, while the larger ones represent the areas that have a small number of observed details. Tests demonstrate that the approach of quadtree segmentation quickly leads to the initial weights using the BEP algorithm.

The Student Records Management System (SRMS) is a modern digital platform based on IoT (Internet of Things), designed to streamline the process of managing student attendance during lectures and practical sessions at Kadri Zeka Public University in the Republic of Kosovo. This digital system enables professors to generate and store real-time attendance records for students participating in lectures and exercises. The RFID (Radio-Frequency Identification)-based Student Records Management System is developed using PHP (Hypertext Preprocessor), HTML (Hypertext Markup Language), CSS (Cascading Style Sheets), MySQL (My Structured Query Language), and JavaScript. When a student scans their personal RFID card, the system logs their arrival time along with personal details. Additionally, when the same student scans their card again before leaving, the system records their departure time. This approach aligns with the Bologna System criteria, ensuring a fair and accurate assessment of student participation throughout the semester. This will also increase the transparency for students and professors in keeping all the records for each student and let to generate different reports by the end of semester. Beyond universities, this system can be implemented in primary and secondary schools, industrial and commercial companies for employee attendance tracking, hospitals, manufacturing firms, state institutions at local and central levels, and any other setting where participant registration and monitoring are needed, all while leveraging IoT technology.