BAE Systems' ground-launched APKWS® laser-guided rocket provides precision strike capabilities on the move. The hardware is compatible with existing turret r...

Drone Hunter XD is a handheld anti-drone solution that can quickly detect, identify, and track drones, providing swift onsite responses to drone threats within a 360-degree range of over 2km. Drone Hunter XD effectively neutralizes the frequencies of either a single drone or multiple drones approaching the blind spots of a fixed-type jammer, due to its receiving real-time access to information on detected DJI Drones, including S/N, model number, frequency band, azimuth/altitude angle, speed, and location.

• Contacts • Backshells / protective caps • Solders sleeves / splices • In-line junctions • Identification labels • Wire terminals

Spacecraft are exposed to extreme conditions that can jeopardize signal transmission capabilities, making it impossible for repairs in space. Whether traveling millions of miles for exploration or enabling global connectivity, space programs need durable solutions with reduced size and weight they can trust to perform without failure. W. L. Gore & Associates answers the call with small, low-mass GORE® Spaceflight Microwave/RF Assemblies proven to maintain electrical and mechanical performance in the harshest environments, ensuring mission readiness and success.

HPH series is a high density interconnect available up to 303 contacts with multiple hardware choices and backpotting option.With a 0.6mm contact diameter, the HPH Series comes in 3-6 row configurations and is available up to 303 signal contacts on a 1.901mm staggered grid. Contacts are removable for ease of maintenance.

The MAGIC1A is a rugged 3U VPX SWaP-C3 high-performance embedded computer combining an Intel Xeon E3-1505M v6 CPU and NVIDIA Quadro P2000 GPU, offering strong compute performance, broad I/O, rugged resilience, and flexible software support. • Xeon E3-1505M v6 quad-core CPU + Quadro P2000 GPU → ~2.3 TFLOPS • Ethernet, USB, serial, MIL-STD-1553, ARINC 429, DisplayPort/DVI, GPIO; up to 8 TB removable SSD with fast-purge • MIL-STD rated, baseplate or fan cooling; −40 °C to +65 °C range • Supports Linux/Windows/VxWorks & CUDA/OpenCL/DirectX/OpenGL; includes AXIS software toolkit

Our XR-based aircraft maintenance simulator is officially certified by the Ministry of Land, Infrastructure and Transport (MOLIT) of South Korea for training and education. It provides specialized training environments for the A321, B737-MAX, and B737-800NG aircraft, featuring over 80 detailed modules—including procedures for engine removal, main landing gear installation, and more. This subscription-based simulator is fully compatible with smartphones, tablets, and wearable XR devices, enabling seamless access through a cloud-based web service. Users can train anytime, anywhere—perfect for both remote learning and remote maintenance scenarios. Compared to traditional classroom learning, the XR platform is 4 times more effective and requires only one-third the training time. It also improves user confidence in real-world technical applications by up to 275%. By transforming traditional paper manuals into immersive, interactive training environments, the simulator delivers the next generation of aircraft MRO education for both civil and defense sectors.

Solution Overview The AI-Based Command Decision Support System, "KWM," identifies battlefield targets and recommends optimal weapon system combinations. It supports end-to-end "Sensor-to-Shooter" execution for rapid, accurate, and efficient engagement and command decision-making. Main Features Identifies targets on the battlefield using integrated sensors and data Recommends the most effective attack strategies for both reconnaissance and attack missions Provides command decision support through real-time analysis and visualization Suggests and allocates optimal target formations and strike assets Supports on-site command and control with a user-friendly interface Key Advantages Enables quick, accurate, and efficient engagement of enemy targets Automated recommendation of attack strategies and allocation of strike resources Real-time synchronization between reconnaissance and attack kill webs Direct connection from detection to strike (Sensor-to-Shooter capability) Increases operational efficiency and decision-making accuracy in complex battlefield environments Applied Cases Successfully piloted in the Army Tiger Boost Project in 2024 Used for command decision-making and efficient allocation of attack resources in live military scenarios