A-29 SUPER TUCANO

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)

Haigh-Farr has been serving the United States Department of Defense and associated defense contractors for the last 50 years with pride. In fact, the first antenna design ever developed by Haigh-Farr was engineered for a tactical weapon meant to protect the lives of American war fighters; and a variant of that antenna is still being delivered and deployed to this day.

Supports non-destructive inspection of aircraft composite skin structures and is composed of a piezoelectric layer sensor, data acquisition equipment, and damage analysis software. Utilizes piezoelectric sensors to generate Lamb-wave and acquire signals, collecting data to accurately detect and assess composite damage. Visualizes inspection results on display such as damage location, size and index. - POD Accuracy: 1 inch 90% or more - POD Precision : Position error within 30 mm - 64 channels / 230 path reference detection time within 10 minutes - Sensor : Resonance resistance less than 400kΩ - Sensor : MIL-STD-810G - Sensor : RTCA DO-160 Section 23.0 - DAQ : x128 Piezoelectric sensor interface

A super-evolution of the original platform brought about by the present-day tactical requirements and offering specialized features and functions specifically designed and fitted to provide top-notch efficiency, high operating speeds, a low recoil impulse, and a decisive and consistent feel. We took special care to design a weapon that offers very fast emergency reloads even in the most demanding of environments and situations, such as sports shooting, law enforcement or civil defense. The entire furniture set is AK compatible and thus the weapon can be fully configured to fit and use a wide array of accessories, making it suited for any preferences and all tasks.

Aviation electrical system services As Korea's largest and most advanced wire harness and cable assembly manufacturer, Huneed Technologies produces simple to highly complex wire harness and electrical panel assemblies for global OEMs. Huneed Technologies provides cost-effective solutions for aviation electrical systems requirements and specializes in a wide range of low-volume production lines. With state-of-the-art equipment capable of laser wire marking, Huneed Technologies ensures high quality and cost competitiveness for system control, electrical conduction, testing and support for numerous aircraft and equipment platforms. Huneed Technologies provides Built-to-Print service that meets specifications for products of any size.

The UHF-band TRX module features transmit diversity, allowing selection between two transmit ports and providing an output power of at least 1 W. It includes a gain control function for transmission and an internal local oscillator for IF-to-UHF upconversion. Transmit functions also include ALC (Automatic Level Control) and over-temperature protection. On the receive side, the module selects one of two input channels and performs downconversion. It supports AGC (Automatic Gain Control) with a response time of 80 µs, enabling real-time gain adjustment based on input signal level. The dynamic range of the receive input spans from -100 dBm to -20 dBm, and the noise figure is 5.0 dB or less. Both transmit and receive paths include built-in path self-test functions.

1. RCWS - 7.62mm Machine Gun (Compatible of K-16 and M60) - Magazine Capacity : Max. 400 Rounds. 2. EO/IR - Day/Night Range : Detection 4 Km, Recongnition 2 Km - Range Finding Accuracy : less 5m in 4 Km 3. AI Object Recognition - Real-time Object Detection Model - GPU-Based High Speed AI image Processing - Application of Supervised Learning Data