We have been designing and supplying cryogenic turbines for helium liquefaction since the late 1980s. Today we are a major supplier of turboexpanders, compressors and pumps to the world's leading manufacturers of cryogenic systems. Our cryogenic product line utilizes the unique PBS technology and know-how of dynamic gas bearings. We supply to prestigious research institutes such as CERN, Max Planck Institute or Rosendorf Research Centre. With the new HEXT/CTE300 turboexpander we will be ready for the hydrogen ecosystem

This system product is a product that directly supplies and heats lubricant oil for smooth operation of the main engine cylinder’s metallic and mechanical movement. Lubricator, a product that supplies lubrication directly to the main engine cylinder liner, can control injection timing and consumption using an electronic control method that responds to the movement of the main engine piston. The alpha lubricator system is based on an algorithm controlling the cylinder oil dosage proportionally to the sulphur content in the fuel and, fuel consumption on particular load of engine. Minimum cylinder oil dosage is required to provide an adequate oil film and detergency properties. Everllence and WIN GD engines are currently applying the second generation Lubricator type, the Everllence type is Mk-I and the WIN GD type is Mk-ε (Epsilon).

K2 MBT is a top-notching, home-grown main battle tank suited for both battle environments in mountains and cities. Equipped with 120 mm 55 caliber length smoothbore main gun, auto-loading system and integrated fire control system, firepower of K2 has no competitor. Hydro-pneumatic Suspension system(ISU) and Dynamic Track Tension System(DTTS) allows stable and sustainable operational capability and excellent mobility in rough ground conditions. Moreover, K2's survivability is maximized through various protective systems, such as Battle Management System(BMS) that detects and distributes threat data, Active Protection System(APS) that diverts threats, and composite armor and ERA that protects crew members.

The AI Inspection Rover is capable of autonomous driving indoors and outdoors, obstacle avoidance, high-resolution image acquisition, aircraft underbody inspection, and platooning. Its low-height design allows it to pass under the aircraft, and with its zero-turn function, it can execute missions more efficiently. Additionally, it can drive slopes of up to 10° and overcome bumps of up to 30mm.

The Cardinal 1280 is a high-definition SWIR InGaAs detector featuring a 10μm pixel pitch. This detector offers high resolution and sensitivity, enabling EO/IR systems to capitalize on the SWIR spectrum for low-light imaging and extremely long-range daytime surveillance, even in challenging weather conditions like smoke, dust, fog, or rain. It incorporates SCD's advanced Asynchronous Laser Pulse Detection (ALPD) technology. A Thermo Electric Cooler (TEC) is included for optimal performance of the Focal Plane Array (FPA) in low light level scenarios. SCD is committed to standing alongside our customers, ensuring they receive the finest solutions available.

Designed to meet US army specifications 360 degree soft armor protection Single-handed 4-wire cutaway Antibacterial/FR treated padded spacer mesh system Semi-rigid, lace-adjustable, external MOLLE cummerbund PALS webbing for MOLLE attachment Zipper for MV Assaulter's Zip-On Back Panels Increased structural integrity and reduced rear deformation Compatible with our entire accessories line Soft armor included Composition Material : 500D Cordura® + ARAMID / PV® Size : Small : 8.5" x 11.5" Plate Pocket Medium : 9.3" x 12.3" Plate Pocket Large : 10" x 13" Plate Pocket XLarge : 10.9" x 13.8" Plate Pocket Colors MC (MultiCam) BMC (Black MultiCam) BK (Black) RG (Ranger Green) CYT (Coyote Brown)

We developed and optimized an object detection and tracking solution tailored for edge environments using Intel Atom platforms with OpenVINO. The system combines MobileNetV3-SSDLite for detection and MobileNetV3-Small for tracking, enabling efficient real-time performance on resource-constrained devices. Through model optimization and inference acceleration, we achieved over 2x improvement in FPS and more than 50% enhancement in inference speed, all while maintaining detection and tracking accuracy. This demonstrates the solution’s suitability for lightweight, low-power edge AI applications