Konan LLM is a Large Language Model independently developed by Konan Technology. Excelling over DeepSeek-R1 in eight categories such as writing, roleplay, reasoning, and coding, Konan LLM ENT-11 unifies generative and reasoning modes for more refined and flexible performance.

- Within the aircraft exterior inspection system, data aggregation and transmission are provided. - Data collection and storage via the server are provided. - User authentication and other system management are provided. - User interfaces are provided for administrators.

MPS Microsystems offers a complete range of high precision ball screws for positioning less than 5 µm. Mostly custom-made, these screws ensure smooth and uniform movement resulting from the high precision of their thread, achieved by grinding. Our ball screws are made exclusively of stainless steel and are fitted with double nuts to allow fine adjustment of the axial play. Moreover, an optional ogival thread can provide a higher static and dynamic load capacity. Thanks to a large number of options, we can ensure that the ball screw meets your technical and quality needs. The following parameters can be personalized: lubricant (grease, oil, dry lubrication, no lubrication), customized screw ends, shape and external dimensions of the nut and screw, multiple nuts on the same screw, left-hand thread, thread length, specific axial play, special surface treatment, and more.

Haynes International Inc. is a manufacturer of metal alloys employing more than 1,070 employees worldwide with sales of $434.4 million in 2007 with 8 plants ...

Liquid Measurement Systems (LMS) provides fuel gauging and interface controls for service, maintenance, and flight crew personnel, at the primary refuel point on the aircraft.

External Refuel Preselect Panels can display the quantity of fuel in each tank, calculate the total quantity of fuel onboard, allow service teams to pre-select desired fuel quantity, and display fault codes. LMS’ external refuel preselect panels are compact, lightweight, and rugged systems that can be adapted to a variety of platforms.

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

Features ▪ Xilinx Zynq-7000 Series ARM-Cortex-A9 Core ▪ 10/100/1000 Ethernet Interface ▪ General-Purpose Input/Output ▪ SDLC Interface ▪ RS-232 Interface ▪ VPX 3U Form Factor ▪ Wedge lock, Plug-in Design ▪ Customized Rear I/O Pin Map

Type : Radial (3P) Size(L,W,H mm) : 193 × 100 × 100 Weight(kg) : 1.7 [Active] N. Speed(rpm) : 3,700 N. Torque(Nm) : 5 N. Power(kW) : 2