Projects using Python in Kelowna
Projects using Python in Kelowna
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U.R.M Technologies Inc.
Presented by U.R.M. Press Quantum Signature | Wave Function Collapse The Objective: Simulating consciousness-induced modulation of quantum interference patterns. A Signature Proof for Unified Reality Mathematics (U.R.M.), linking between the observer to the physical substrate. The Logic: Four-tiered technical simulation analyzing: -Double-slit intensity baselines. -Oscillating URM Consciousness Influence. -Fringe visibility and contrast reduction. -Resulting wavefront shifts within the quantum field. The Results: Interference Reduction: Measurable contrast decay proportional to consciousness bias. Wavefront Calibration: Successful simulation of the induced shift, verifying the Persistence Invariant at the nodal level. 2026 Unified Reality Mathematics (U.R.M.) Technologies Inc. All Rights Reserved. Presented by U.R.M. Press.
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U.R.M Technologies Inc.
Presented by U.R.M Press Title: Urban Traffic Flow Optimization | Macro-Scale Throughput The Objective Neutralizing systemic gridlock in high-density urban environments. This project utilizes a Stochastic Flow Model to optimize laminar throughput across multi-nodal intersections. The U.R.M. Solution By modulating the Consciousness Parameter within the city’s digital twin, we identified the specific timing offsets required to maintain a Steady-State Flow, even during peak congestion periods. The Results Gridlock Reduction: 35% improvement in cross-nodal transition. Laminar Stability: Achievement of the Persistence Invariant across 90% of the urban substrate. Property of U.R.M Technologies Inc.
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U.R.M Technologies Inc.
Title: Biologically-Inspired Swarm Intelligence & Survival Modulation About this Project This simulation utilizes a Consciousness-Modulated Cellular Automaton to model agent survival in high-friction environments. By injecting a specific Consciousness Parameter, the system achieves a state of "Laminar Survival," where the swarm outpaces systemic "Predation." The Substrate Map: The visualization (the grid) represents the informational field where agents and stressors interact. Survival Modulation: Demonstrates the Persistence Invariant in action; as the Consciousness Operator increases, the "Prey" (Agents) reproduction and coordination reach 90%+ stability. Evolutionary Proof: The step-by-step data confirms that the system moves from chaos to an ordered, sustainable steady state.
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U.R.M Technologies Inc.
Project Title: Adaptive Multi-Agent Resilience Modeling Validated Proprietary Infrastructure to maintain logistical continuity during high-entropy in a simulation. I converted "Friction-Heavy" environments to streamlined, persistent data flows. Systemic Stability: Utilizes a Persistence Invariant to keep supply nodes synchronized & functional during disruption. Friction Reduction: Identified & neutralized "Flow Impedance" points, for a measurable increase in systemic throughput. Recursive Recovery: Implemented a self-correcting logic within the Proprietary O.S. that restores Laminar Flow of information automatically if a node is interrupted. We track 50-node supply chain network under sustained 20% stochastic disruption. Blue Line: Fraction of network remaining operational. Despite disruption, system maintains >90% connectivity.
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Jesse Korzan
Geo-Niche Web Directory Development
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