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).

Today, space satellites are moving away from RF Analog based payloads providing low speed telecommunication signaling, to a new Digital Transparent Processor architecture for high throughput satellites. Those architectures increase the demand for rugged and higher speed connectivity. To meet those industry needs, Smiths Interconnect has developed the NXS Series, an advanced high speed, high density interconnect to provide next generation data on demand. Equipped with the Hypertac® hyperboloid contact technology the NXS system can withstand data rate application up to 50 Gbps (per channel) requirements, including extreme levels of vibration, shock and climatic testing above 2100 g. The NXS Series is designed in a robust construction with 4 or 12 high speed quadrax (dual-twinax) modules. The recent EMI Flange addition provides the extra benefit of reducing electromagnetic interference. Each ultra-high density quadrax module contains 2 dual twinax at 100 Ω each pair. It is blind mateable, hot pluggable, with ultra-low mating forces and low outgassing materials. In addition, the solderless PCB mount design reduces the customer’s risk and cost of ownership. The connector is mounted after reflow and has no impact on nearby components.

High-power laser weapons targeting objects at 0.5 ~ 4.0km distances require optical components with sub-nm wavefront error precision. Our Company has successfully developed aspherical polishing and high-power laser coating technologies for Ø300 ~ 550mm optical components through defense project experiences. measurement technology 1) Laser Induced Damage Threshold(LIDT) - The evaluation to confirm the durability of optical components is called LIDT (Laser-Induced Damage Threshold), which is defined as "the maximum amount of laser radiation incident on an optical component when the expected probability of damage is zero" (ISO 21254). In other words, it represents the maximum intensity or power of laser that an optical component can withstand, making it a critical requirement in laser weapon systems. - Our company has established LIDT measurement technology and in-house facilities developed in accordance with ISO 21254 standards. When compared with LIDT test results from domestic and international companies during laser weapon system development, we have demonstrated measurement technology and accuracy that meets or exceeds industry standards. While overseas companies require more than one month for verification processes, our company can immediately provide reliable data through our LIDT system. 2) Cavity Ring Down Spectroscopy(CRDS) - When the reflectivity is 99.997%, this may not present significant issues in low-power laser applications. However, in high-power laser components, even the 0.05% of light that passes through the optical mirror can cause problems in vulnerable parts of the system, including rear optical instruments, bonded lenses, and control cables. Therefore, measurement and evaluation methods for high-reflectivity optical mirrors are extremely important. - Currently, the transmittance and reflectance of optical components are generally measured using spectrophotometers, but measuring reflectance levels of 99.5% or higher is not possible with this method. CRDS (Cavity Ring-Down Spectroscopy) technology is required to achieve measurement resolution beyond that of spectrophotometers, and our company has established this system to measure the reflectance of various optical components. This is a critically important technology for responding to high-power laser weapon system development requirements.

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)

It supports both daytime and nighttime monitoring, making it highly versatile in various missions. The drone is optimized for portability, allowing operators to carry and deploy it with ease. Its compact design ensures rapid response capabilities while maintaining reliable performance in the field.

Weight Reduction: Eliminates complex hydraulic lines, pumps, and fluids, thereby reducing overall aircraft weight. Maintenance Efficiency: Simplifies maintenance requirements by removing hydraulic components that are prone to leakage and degradation. Improved Reliability: Provides precise braking control with fewer mechanical parts, resulting in higher system reliability and reduced downtime. Integration with Advanced Systems: Enables seamless connection with modern avionics and aircraft health monitoring systems, supporting predictive maintenance and optimized performance.

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.

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