SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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NINJIO is an all-in-one cybersecurity awareness training solution that lowers human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. This multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. Our proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
With NINJIO you get:
- NINJIO AWARE attack vector-based training that engages viewers with Hollywood style, micro learning episodes based on real hacks.
- NINJIO PHISH3D simulated phishing identifies the specific social engineering tricks most likely to fool users in your organization.
- NINJIO SENSE is our new behavioral science-based training course that shows employees what it “feels like” when hackers are trying to manipulate them.
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XPS (eXtended Particle Simulations)
XPS, short for eXtended Particle Simulations, represents an advanced Discrete Element Method simulation tool crafted by RCPE and made available worldwide by InSilicoTrials, specifically tailored for high-precision particle-based process simulations. This software is particularly focused on the pharmaceutical sector, enabling accurate forecasting of powder and granular material behavior, which aids teams in gaining insights, enhancing predictions, and managing pharmaceutical unit operations more effectively. Utilizing sophisticated contact models, XPS characterizes the flow dynamics of granular materials and employs highly parallel algorithms that are fine-tuned for contemporary GPUs, thereby expediting simulations involving as many as 100 million particles. By providing unparalleled detail in process configuration assessments, XPS empowers pharmaceutical engineers to navigate decision-making spaces virtually, significantly curtail the need for expensive and lengthy physical experiments, and bolster data-driven approaches to process development. As a result, this innovative software not only streamlines operations but also fosters a deeper understanding of material behaviors within pharmaceutical manufacturing environments.
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LIGGGHTS
LIGGGHTS is an open-source simulation software that employs the Discrete Element Method to model materials composed of particles, particularly emphasizing simulations related to industrial granules and heat transfer. The name LIGGGHTS reflects its foundation on LAMMPS, improved specifically to enhance simulations of general granular materials and their thermal dynamics, thereby broadening the reach of DEM into practical industrial scenarios. This tool is adept at simulating a variety of systems in which the behavior of materials arises from the dynamics, collisions, friction, cohesion, thermal exchange, and interactions among individual particles. It proves beneficial for studying an array of applications, including powders, grains, bulk solids, particulate flows, packed beds, conveyor systems, mixing operations, hopper discharges, and material handling, particularly in contexts where the behaviors at the particle level are significant. Currently, LIGGGHTS is embraced by numerous research institutions and commercial enterprises across the globe, valued for its open-source nature and the adaptability it offers in the simulation of particulate materials. Moreover, its versatility makes it an essential tool in advancing research and development in various fields related to granular systems.
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