A Main Generator installed in the KUH series that supplies system power.

The flagship VS-210 represents a landmark achievement in Korea’s urban air mobility development. As the nation’s first domestically designed and manufactured piloted eVTOL aircraft to successfully perform an urban air mobility flight, the VS-210 showcases V-Space’s technological leadership in advanced electric aviation. Built with lightweight composite structures and a high-power electric propulsion system, it delivers quiet, zero-emission, and eco-friendly operation while demonstrating remarkable flight stability and control. Through its successful demonstration flights, the VS-210 has become a symbolic platform proving Korea’s readiness for the next generation of sustainable urban aviation. Under the slogan “Touchable Future,” V-Space continues to lead innovation in electric propulsion, integrated system design, and future UAM certification readiness.

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In an uncertain world, L3Harris is anticipating and rapidly responding to challenges with agile technology - creating a safer and more secure future.

'The simulators offer variety of simulation capabilities; including Radar Warning Receivers, Missile Warning Receivers and other Electronic Warfare (EW) Receivers.

- System Construction - U-Caster-HT: Network video transmission device - KASSO® server: Connects Tx and Rx in a cloud environment, streams video to the receiving device, and manages connected devices (settings, transmission/reception connections, etc.). - Video receiving device: MonaLisa-Rx device (U-Caster-HR) or computer/smartphone - Receiving playback software: Web browser or WebRTC streaming playback program

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