Solution Overview KWM-Ocelot (AI Electromagnetic Spectrum Reconnaissance System) is a self-developed solution that measures field strength and clearness of 5G/4G base station signals and automatically analyzes abnormal waveforms based on time-series data. Main Features Real-time wideband frequency scanning using an RF detector mounted on unmanned complex systems AI-based signal characteristics and transmitter location analysis Real-time transmission and visualization of analysis data to ground control stations (GCS) via data link Identification of locations such as enemy drone and equipment operation areas, and command posts Effective tracking and jamming of enemy communications Key Advantages Automated signal classification and pattern learning based on AI Real-time visualization of battlefield electromagnetic spectrum distribution Effective signal detection, analysis, and tracking in various military environments Fully in-house developed, enabling rapid technological application and operational optimization Applied Cases Winner of the Grand Prize (Army Chief of Staff Award) at the 2025 Army Artificial Intelligence Idea Contest Real-time reconnaissance of battlefield electromagnetic environments and enemy communication tracking in military operations

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ABC leader in test bench has, through the acquisition of CAPRA, skills and experience in the manufacture and production of electronic cards. In the world of the special machine some demands exceed or do not match with the characteristics of standard components. In this case ABC is able to meet these needs.

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FLAMEMASTER has formulating and compounding capabilities for sealants, adhesives, and coatings made from polysulfides, epoxies, silicones, and rubbers, among others. The product line includes corrosion-resistant materials, mid- and lightweight sealants, electrical potting compounds, and thermal barriers.