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ATSEP Surveillance Qualification Training: Meeting ICAO Doc 10057 Standards with SkyRadar

 

Learn how SkyRadar tools meet ICAO Doc 10057's ATSEP Surveillance Qualification Training requirements with hands-on learning for taxonomy levels 3 and 4.

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ICAO Doc 10057 and Hands-On ATSEP Surveillance Qualification Training with SkyRadar

This article explores ATSEP Surveillance Qualification Training under ICAO Doc 10057, emphasizing hands-on learning with SkyRadar's advanced tools.

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AI in ATC Needs Centralized Data and SMC-Enabled Applications: Shaping a New ATSEP Profile

As air traffic control (ATC) systems evolve, the integration of artificial intelligence (AI) is becoming critical to improving efficiency, safety, and decision-making. However, for AI to work effectively in air traffic management (ATM), a centralized data infrastructure and Service Monitoring & Control (SMC)-enabled applications are necessary. These technologies are not just reshaping ATC systems, but they are also transforming the roles and responsibilities of Air Traffic Safety Electronics Personnel (ATSEP). This blog explores the foundational role of centralized data and service-based architectures, and how AI will shape the future of ATSEP in the context of AI-enhanced ATC systems.

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Building the Future of ATM: Cloud Architecture, Centralized Data, and Cybersecurity as the Foundation for AI Integration

As global air traffic continues to increase, the complexity of managing airspace grows more challenging. To address these complexities, Air Traffic Control (ATC) systems are turning to emerging technologies such as Artificial Intelligence (AI), cloud computing, and cybersecurity to maintain safety and efficiency. Integrating these technologies is not just an opportunity—it is a necessity. This article provides an introduction to how AI, supported by robust cloud architecture and underpinned by strong cybersecurity measures, can transform ATC into a more scalable and secure system while ensuring compliance with data privacy regulations.

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Adapting to the Impact of AI on Traditional ATSEP Daily Tasks and Processes

Artificial intelligence (AI) has significantly transformed many industries, including air traffic management. For Air Traffic Safety Electronics Personnel (ATSEP), AI presents an opportunity to improve daily tasks and processes, boosting efficiency, safety, and reliability. However, this transition necessitates a thoughtful and strategic approach to maintain the integrity of air traffic systems.

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Enhancing Cloud Security: Insights from the 2024 Thales Cloud Security Study

The 2024 Thales Cloud Security Study provides a comprehensive overview of the current trends and challenges in cloud security. This report is relevant for Air Traffic Safety Electronics Personnel (ATSEP) involved in securing cloud environments. In this article, we present the key findings and offer actionable insights based on the study.

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Data Processing (DPR) for Qualification Training of ATSEP (Video)

SkyRadar's package for data processing and facilities is continuously growing. Watch the video example showing how to monitor signals and UPS devices with the SNMP protocol. You will also be introduced to simple control tasks. The simulator and DPR package allow to conduct many DPR and SMC exercises, as defined in the EASA Easy Access Rules (EU Regulation 2017/373).

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ATSEP Use Cases: Impact of Target Tracking Errors on ATC

Target tracking errors in ATC processing compromise situational awareness, increase collision risks, and hinder operational efficiency, impacting safety and airspace management.

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ATSEP Use Cases: Impact of Transmitter Errors due to Synchronization Issues with the Receiver in ATC

Air Traffic Control (ATC) is a crucial component of the aviation industry as it ensures safe and efficient air travel. One of the key elements of ATC is the communication system between air traffic controllers and pilots, which relies heavily on radio transmission.

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