The paper provides a brief overview of the usability of the Transfer Function and Quiet Line Noise test functionalities for troubleshooting VDSL2 lines. This paper will analyze these test capabilities using a software application created for this paper. It will perform a graphical comparison between H.log and QLN graphs for lines with and without faults. This paper will show that such an analysis of H.log and QLN graphs for VDSL lines with pronounced faults can improve the efficiency of troubleshooting testing, enabling technical personnel to reliably assess whether faults or interference are causing degradation of IPTV QoS.

Background Panuveitis is a severe intraocular inflammatory condition that can have infectious, autoimmune, or neoplastic aetiologies. In rare cases, it may represent an early manifestation of systemic infection, such as endogenous endophthalmitis. Case presentation A woman in her early sixties presented with a painful, red eye and reduced vision, initially diagnosed as unilateral panuveitis. Despite topical corticosteroid and antiviral therapy, her symptoms progressed to involve both eyes. Extensive laboratory and imaging work-up was inconclusive, until fever and systemic deterioration led to hospitalisation. Blood cultures revealed Streptococcus gordonii, and imaging showed an abscess in the right masticator space. She later developed similar symptoms in the contralateral eye. Echocardiography confirmed aortic valve endocarditis. The patient underwent valve replacement surgery and prolonged intravenous antibiotic therapy, with subsequent stabilisation of visual and systemic symptoms. Interpretation This case highlights how panuveitis can masquerade as an isolated ocular condition. Further follow-up revealed endocarditis. It is difficult to determine whether the patient initially had panuveitis or endophthalmitis due to haematogenous seeding of the eye. The case underscores the need for a broad differential diagnosis, including blood cultures and cardiac imaging, and illustrates the importance of early interdisciplinary collaboration when ocular inflammation is accompanied by systemic symptoms.

This paper continues with the analysis of the impact of some frequently occurring and very intense galvanic faults on IPTV QoS parameters on VDSL lines in FTTB networks. In addition to the previously presented results for certain types of very intense faults, this paper will show the results of research into the impact of another significantly pronounced fault that can occur in drop wires, but also in other segments of access networks.

This paper provides an overview of the impact of certain types of galvanic faults that may occur in cables in drop wires on the transmission of IPTV services over VDSL2 lines. The study examines how severe serial and shunt galvanic faults affect the physical layer management parameters of VDSL2 transceivers and IPTV QoS parameters.

This paper presents an end-to-end architecture for smart waste management, leveraging real-time data, IoT, AI, and machine learning to optimize operational efficiency and decision-making processes. The architecture is designed for both near real-time and batch data processing, ensuring continuous optimization and adaptation of waste collection routes and resource allocation. Machine learning models are employed to predict possible bad adverse scenarios and optimize operational plans. Additionally, business intelligence is utilized for data analysis and reporting, providing actionable insights based on real-time and historical data. The presented system is implemented on a scalable Kubernetes infrastructure, supporting the increasing data volumes and processing demands while maintaining system responsiveness and efficiency. This integrated approach demonstrates significant improvements in resource utilization, operational efficiency, and service delivery, highlighting the potential for smarter and more sustainable waste management practices. This research addresses the gap in combining IT architectures with AI models and IoT, paving the way for future advancements in smart waste management systems.

This paper presents present an example of the method of selecting an optimal model of fixed access network and compare various well-known access network technology choices in heterogeneous environment, in order to selecting an optimal solution. Architecture scenarios and technologies used for experimenting are P2P (Point to Point)) based on Ethernet, P2MP (Point to MultiPoint) based on GPON (Gigabit Passive Optical Network) technology and FTTB/C (Fibre to The Building/Cabinet) based on VDSL technology. After short reminder of FOAN (Fibre Optics Access Network) architectures, topologies and technologies and brief comparisons of P2P vs. GPON and FTTH (Fibre to The Home) vs. FTTB, the sample areas, which are subject of analysis are described in detail. A comparison of proposed solutions in four chosen areas is shown.

Recently, the necessity of video testing at the point of reception has become a challenge for video distributors. This paper presents a new system framework for managing the quality of video degradation detection. The system is based on objective video quality assessment metrics and unsupervised machine learning techniques that use the dimensionality reduction of time series. It was demonstrated that it is possible to detect anomalies in the video during video streaming in soft real time. In addition, the model discovers degradations based on the visible correlation between adjacent images in the video sequence regardless the quick or slow change of a scene in the sequence. With additional hardware manipulations on the equipment on the user side, the proposed solution can be used in practical implementations where the need for monitoring possible degradations during video streaming exists.

This paper presents a model that enables the application of smart waste collection management using artificial intelligence to detect QR-codes on the video stream of surveillance cameras attached to waste collection trucks. A framework model proposal together with a detailed explanation of the key components of the system is shown. It also demonstrates the use of QR-code detection for identification of waste bins and its specific application in smart waste management system.

This article presents a simple software-developed model for calculating the relative frequency of individual symbols and the entropy of the Latin alphabet of a standardised language used by four South-Slavic origin ethnic groups in the Western Balkans in four countries. In addition, a method of applying the Shannon-Fano and Huffman source coding algorithms is presented, which takes into consideration the specificity of the observed alphabet in relation to the English one. The presented model is developed in the MATLAB programming language. The model is tested using an arbitrarily selected text.

The aim of the paper is the quality of video streaming analysis in cases of using different video codecs in the environment of distributed computer systems with different QoS (Quality of Service). For the purposes of the analysis, several scenarios were set up in which video encoded with different codecs is transmitted by a virtual video streaming server to virtual clients. For each of the scenarios, an environment with different QoS (packet losses, latency, jitter) was simulated and the quality of the received video stream was evaluated for each video codec. The quality of the received decoded video stream was calculated using SSIM (Structural Similarity) and VMAF (Video Multimethod Assessment Fusion) video objective metrics and compared to the original video stream.