The manuscript conducts a comparative analysis to assess the impact of noise on medical images using a proposed threshold value estimation approach. It applies an innovative method for edge detection on images of varying complexity, considering different noise types and concentrations of noise. Five edges are evaluated on images with low, medium, and high detail levels. This study focuses on medical images from three distinct datasets: retinal images, brain tumor segmentation, and lung segmentation from CT scans. The importance of noise analysis is heightened in medical imaging, as noise can significantly obscure the critical features and potentially lead to misdiagnoses. Images are categorized based on the complexity, providing a multidimensional view of noise’s effect on edge detection. The algorithm utilized the grid search (GS) method and random search with nine values (RS9). The results demonstrate the effectiveness of the proposed approach, especially when using the Canny operator, across diverse noise types and intensities. Laplace operators are most affected by noise, yet significant improvements are observed with the new approach, particularly when using the grid search method. The obtained results are compared with the most popular techniques for edge detection using deep learning like AlexNet, ResNet, VGGNet, MobileNetv2, and Inceptionv3. The paper presents the results via graphs and edge images, along with a detailed analysis of each operator’s performance with noisy images using the proposed approach.

We live in a digital landscape. In them, seamless communication, and the right information have become crucial. This paper describes the Network Operation Center - NOC, which tasks to manage, protect, and monitor important information. NOC must supervise all types of equipment, networks, servers, databases, and firewalls. Our subject of study and organization in this paper is NOC Transmitters and communication (ETV). The function of NOC ETV is the continuous monitoring of the system to ensure its continuity function, with the ultimate goal of raising the level of user satisfaction. This is achieved by timely reaction in the event of an incident in the ETV network which consists of a set of activities. Those set of activities we will describe and explain. Activities establish a connection by calling center, network component maintenance service, and crews on broadcasting stations ETV and teams on the field. All this makes this process very complex, but the procedures and methods for its solution give excellent results. In that way, the goal of acquire confidence in the company as a † reliable and professional partner. Good management of NOC gives us good satisfaction in reducing equipment failures. The NOC plays an important part in improving the company's customer focus and ultimately, improving customer satisfaction and experiences.

Broadcast companies always aim to have as few interruptions and failures as possible. They have experts in the field of telecommunications and use the most modern technological solutions. However, that is not enough. It is necessary to organize continuous monitoring, and directing information to employees relevant to the part of the job and an activity plan to prevent the spread of consequences of incidents. It is also necessary to organize activities through the procedures and guidelines to av breakdowns. Every organization wants to improve workspace safety and efficiency and reduce costs associated with unexpected breakdowns. Preventing equipment failure should be a top priority which gives us uninterrupted work that enables user satisfaction. In this paper, one should see an organizational model that includes fault management, where every employee knows how to act to eliminate the fault promptly. Failure should last as long as possible. This procedure assigns clear roles and responsibilities to the employer. This clarity helps prevent confusion and overlap. In the event of an issue, the employee will know exactly who is responsible for addressing it, leading to quicker resolution. Broadcasting TV, radio, and mobile information is very sensitive to interruptions, so quick break resolution leads to less on-air impact.