High-Density Space-grade NAND Flash memory : 1. Density : 128Gbit (2G x 8bit x 8chips) NAND Flash 2. Package Type : 54 Pin SOP (Small Outline Package) 3. Radiation : TID > 60 krad, SEL (TBD)

JEFF WRAITH II is the tactical goggle for Military & Law Enforcement. The lightweight goggles give you wide protective coverage with a comfortable fit for use. It is compliant with ANSI Z87.1 standard requirement, European CE standard, and exceed U.S. Military eyewear ballistic resistance requirement MIL-PRF 32432A, MIL-DTL-43511D. The Anti-Scratch & Anti-Fog coated polycarbonate lenses give you up to 99.9 protections form UV rays and you can wear the goggle with your glasses on.

Powering front-line fighters globally and backed by a continuous infusion of new technology, the F110 remains the engine of choice around the world.

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).

In collaboration with Hanwha Systems, we developed and optimized a Transformer-based AI model for ship and aircraft detection on embedded platforms. Targeting NVIDIA Jetson Orin AGX, the project utilized the MSAR (640×640) dataset along with large-scale training databases built from public sources. The RT-DETR model, currently under review, was optimized through hardware-friendly design, Int8 quantization, and specialized inference acceleration. As a result, the solution achieved up to 5x faster inference speed while maintaining accuracy, reaching 20% of NVIDIA TensorRT performance. This demonstrates the ability to deliver reliable, real-time detection capabilities in resource-constrained embedded environments, enabling next-generation defense and surveillance applications.

Application areas Car: Passenger Car, LDV, MDV, HDV, Van, etc. Other: Drone, Forklift, Ship, Train, Motorcycle, Heavy equipment, etc. Transportation: Mobile station, Tube skid for transportation

An educational technology learning system in which operators (instructors/student pilots/mechanics) proceed and manage learning through interaction with computers outline Summary • Development of defense CBT/CAI for theoretical education of domestic/international pilots and mechanics •Development of CMI, LCMS for trainee grade management, progress management, and content data management ・Research and construction of a hands-on learning system for applying the latest media •Learning content reuse and version management possible (SCORM standard applied)

• Toggle switches • Circuits breakers • Illuminated push buttons • Relays / Relays bases. • Potentiometer.