1. Battery Pack with Battery Management System (BMS) • High energy density cells, Rapid charge/discharge • State Estimation Technology, Multiple Sensing & Sensor Fusion • Thermal management design, Overcharge/overdischarge protection circuits • Real-time Diagnostics, Safety Compliance through Anomaly Detection 2. Hydrogen Fuel Cell Power Pack (1.6kW/3.5kW) • Patented Core Technology • Smart Energy Blending - High Energy Efficiency • Rapid Hydrogen Fueling 3. Energy Storage System (ESS) • Energy Efficient • Stable Power Supply of the Grid • Sensing & Diagnostics

Available in operating frequencies from HF to Ku-band and with standard output powers ranging from 2 to 1000 watts. Standards Functions Include: FWD/RVS Detector, Mute, Temperature Monitoring, VSWR Alarm with Protection, Over Temperature Alarm with Protection and Auto-recovery, Over voltage protection, ALC, AGC and Current Monitoring.

The SBC3612D is a rugged 3U VPX single board computer aligned with the compute-intensive SOSA profile, delivering high-performance processing with the Intel® Xeon® D-2775TE 16-core processor and flexible expansion capabilities. • Supports up to 64GB DDR4 SDRAM and 480GB NAND Flash (NVMe SSD) • Offers 100GbE and 10/25GbE data plane and control plane support • Features the Xilinx® Zynq® UltraScale+™ MPSoC FPGA for enhanced security

As domains converge and connect, new threats and opportunities emerge. By giving our service members every advantage for operational success, we create a safer world. It is this mission that drives our relentless innovation in defense technology. With our integrated expertise and capabilities, Raytheon Technologies is uniquely positioned to give our customers the advantage in every moment.

Model-Based Systems Engineering (MBSE) is a methodology that integrates design, analysis, and verification activities throughout the system lifecycle using architecture models. By modeling requirements, functions, structure, and behavior, MBSE supports consistent and informed decision-making. Ansys SAM (System Architecture Modeler) supports the latest system modeling language, SysML v2, and enables both graphical and textual modeling, real-time collaboration, and model management. Ansys ModelCenter integrates various engineering tools and builds automated workflows, enabling what-if simulations and trade studies. By connecting architecture models with simulation models, it supports consistent design analysis and requirements validation using a single source of truth (ASoT).

- Application of patented expansion technology to resolve narrow space operation. - Equipped with camera function utilizing foldable mast. - Drone take-off and landing system using internal lift. - Equipped with a monitor for situational identification and a console for drone operation control.

The KF-21 is the project which aims to replae the aged fighters in operation, F-4, and F-5 of the Republic of Korea Air Force and develop the indigenous Korean fighter aircraft which is equipped with performances suitable for the future battlefield of the country's air force. Korea's largest-scaled KF-21 project is the national R&D project with a development span of 10 years and 6 months and is driven with Indonesia under international joint development. Based on its development experience and infrastructure of a homegrown airplane, such as the KT-1 basic trainer, T-50 Advanced Jet Trainer, TA-50 Lead-in-Fighter-Trainer, and FA-50 Light Combat Aircraft, KAI is under development of the KF-21 project successfully. Through this project, KAI plans to develop the aerospace technology of Korea and contribute to national peace and security as well as economic development.

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