Monday, December 1, 2025

YuKKi-OS + JoBby_$l0tty v5 4D-9v Rust RLS + Adi http wrapper CEF

YuKKi OS 5: Monolithic Merging of P2P and 4D 9-Vector IPC

YuKKi OS 5

Monolithic: P2P Network Merges with 4D 9-Vector IPC

Forget bloatware like Kubernetes. Try YuKKi OS 5 CRTC compliant with Jobby Slotty dependency aware RBE! - Updated with 4D-9vector simulation, chat and pretty prompts but still crisp and sexy in Internet 3.0 now in RUST

⚒️🪲💴👛💋💄💊🔥🍗🍻🕹️🏛

Adi Protocol - For your study (Why?)

Adi HTTP wrapper - CEF extensible (To browse 🌬🌎)

Step 1. LINUX - Your choice 64-bit

Step 2. RTFM

The highly anticipated release of **YuKKi OS 5** marks a significant architectural milestone. We have successfully completed the monolithic integration of our core Rust P2P framework with the high-performance **Advanced Dimension Interconnect (ADI) IPC Protocol**. This merge unlocks distributed simulation capabilities, allowing any peer on the network to request another peer to execute a byte-aligned C-based computation and stream the raw results back in real-time.

The Architectural Shift: Beyond Basic P2P

YuKKi OS 4 focused purely on robust C2 peer discovery and direct TCP file transfers. YuKKi OS 5 maintains these layers but introduces a critical third layer: **local IPC delegation**.

The execution flow is now a tightly controlled three-way handshake:

  • **C2 (WebSocket):** Maintains the active peer list, providing routing information (UUID to P2P address).
  • **P2P (TCP):** Handles the command tunnel. A remote peer sends a new `adi_req` command.
  • **IPC (Local TCP):** The receiving Rust peer becomes an **IPC Server**, spawns the C simulation (`adi_client`), and mediates the fixed-length frame transfer back to the requesting peer via the original P2P stream.

The diagram below illustrates how this hybrid model allows the P2P network to leverage the host peer's computation capabilities without exposing the internal IPC socket to the external network.

Deep Dive: The 4D 9-Vector ADI Protocol

The ADI protocol is tailored for fixed-size, high-throughput numerical operations. The C client is compiled with the sole purpose of generating the **4D 9-Vector** dataset, which is precisely engineered to fit a **70-byte payload** (containing 8 doubles and necessary alignment/padding).

ADI Frame Structure (P2P Streamed)

  • **13 Bytes: ADI Header**
  • – Bytes [8-11]: Sequence ID (u32 Big-Endian)
  • – Byte [12]: Frame Type (0xAA)
  • **70 Bytes: Payload**
  • – 4D 9-Vector data (8 x double, 64-bit float)
  • **Total Frame Size: 83 Bytes**

This fixed framing ensures predictable network consumption and simplifies the asynchronous Rust handling, as the receiving client simply reads blocks of 83 bytes until the pre-announced packet count is reached.

New Command: `adi `

The CLI now supports the primary new feature via the `adi` command.

YuKKiOS > adi 01d713c8-0245-42f5-b6d8-551e18d713c8

*Client sends "adi_req" to remote peer.*
*Remote peer compiles C, runs simulation, and streams back results...*

[ADI] Packet 1/5 | SeqID=0 Type=0xAA | Payload=70 bytes
[ADI] Packet 2/5 | SeqID=10 Type=0xAA | Payload=70 bytes
[ADI] Packet 3/5 | SeqID=11 Type=0xAA | Payload=70 bytes
...

Furthermore, the Rust application now automatically attempts to compile the required C dependency (`src/adi_protocol.c` into `./adi_client`) using `gcc` if the binary is missing, making deployment for new peers significantly smoother. This monolithic approach reduces external dependencies and ensures the core simulation component is always available and aligned with the network protocol.

Conclusion: The Future is Distributed Simulation

YuKKi OS 5 represents a major leap forward, transforming our P2P network from a simple file distribution system into a distributed computational grid capable of remote, high-integrity data generation. Download the archive, build the system, and begin experimenting with remote ADI simulation today.

Friday, November 28, 2025

NPU-enabled Steam Launcher

Oryon package_snapdragon_Launcher.sh Oryon Chipset Specific Preliminary Steam Launcher for NPU enabled gaming.

Generic AArch64 SteamApp Launcher

Thursday, November 27, 2025

The Zero-Power Operator: Memristive Tactical Wearables

The Zero-Power Operator: Memristive Tactical Wearables

The Zero-Power Operator

Feasibility Study: Neuromorphic Graphene Gloves in Tactical Environments

The Pivot: From Generation to Efficiency

Our previous analysis confirmed a hard truth: you cannot power a 7-Watt active UAV controller with ambient energy harvesting. The physics of "filling a fire hose with an eyedropper" simply do not work.

However, we identified a breakthrough application for Flexible Graphene and Nanosized Memristors. Instead of trying to power the radio (the output), we can make the interface (the input) self-sustaining.

By moving from wireless transmission to wired passive feedback, and utilizing memristors for analog computing, we create a tactical glove that requires effectively zero external power.

System Schematic: The Neuromorphic Glove

This system uses abundant, available technology: Laser-Scribed Graphene (LSG) for harvesting and Titanium Dioxide (TiO2) Memristors for sensing.

! NEUROMORPHIC GRAPHENE GLOVE SCHEMATIC ! SYSTEM STATUS: SELF-SUSTAINED / PASSIVE OPERATION [FINGER 1] [FINGER 2] [FINGER 3] | | | +---v---+ +---v---+ +---v---+ | [M] | | [M] | | [M] | <-- 1. MEMRISTOR NODES +-------+ +-------+ +-------+ (TiO2 Strain Sensors) | | | (Analog Computing) | | | +---v---+ +---v---+ +---v---+ | {T} | | {T} | | {T} | <-- 2. TRIBOELECTRIC ZONES +-------+ +-------+ +-------+ (Graphene/PTFE Layers) | | | (Kinetic Harvesting) \ | / \ | / \_____________|_____________/ | +===================================================+ | 3. FLEXIBLE GRAPHENE BACKPLANE (The "Skin") | | [#############################################] | | [#] Acts as Wideband Rectenna (RF Harvest) [#] | | [#] Scavenges Tactical LTE / Radar Energy [#] | | [#############################################] | +===================================================+ | v +---------------------------------------------------+ | 4. WRIST AGGREGATOR (The Passive Interface) | | +---------------------------------------------+ | | | INPUT: Analog Resistance State | | | | OUTPUT: Wired Event Code -> UAV Remote | | | +---------------------------------------------+ | +=====================V=============================+ || || 5. WIRED UMBILICAL || (Zero Wireless Signature) vv [ TO UAV CONTROLLER ]

Feasibility Simulation: The "1-Hour Mission"

Can this actually work with today's technology? We simulated a 1-hour tactical operation to calculate the Work (in Ampere-hours) required vs. generated.

Simulation Parameters:
Voltage System: 3.3V (Standard Low-Power Logic)
Environment: High-RF Tactical Zone (Near Jammers/Comms)
Activity: High-Tempo (Frequent hand signals/controller inputs)

1. Energy Consumption ( The Cost )

Standard sensors use active polling (constantly asking "are you moving?"). Memristors are passive; they only consume power when the state changes (reading/writing resistance).

Component Draw Characteristics Consumption (mAh)
Memristor Network (10 nodes) Passive resistance read (pulsed) 0.050 mAh
Wrist Micro-Controller (Sleepy) Wake-on-interrupt (only on move) 0.300 mAh
Wired Transmission Low-voltage serial pulse 0.020 mAh
TOTAL CONSUMPTION (Per Hour of Operation) 0.370 mAh

2. Energy Harvesting ( The Supply )

Using Triboelectric Nanogenerators (TENGs) made from abundant PTFE/Nylon friction layers, and a Graphene Rectenna for RF scavenging.

Source Available Energy (Conservative) Harvested (mAh)
Kinetic (Hand Movement) ~2mW peaks during motion (TENG) + 0.450 mAh
Ambient RF (Tactical Zone) ~0.5mW continuous (Rectenna) + 0.150 mAh
TOTAL GENERATION (Per Hour of Operation) + 0.600 mAh

3. The Verdict

Metric Result
Net Power Flow + 0.230 mAh (Surplus)
Battery Status Self-Sustaining / Charging

Conclusion

Based on the simulation of abundant technologies (TENGs and Memristors), the Neuromorphic Graphene Glove is thermodynamically viable.

Unlike the UAV remote, which drains batteries in hours, this glove generates ~60% more power than it consumes during active use. It eliminates the need for batteries in the Human Interface Device (HID), reduces the soldier's load, and most importantly, removes the wireless electronic signature of the controller hand.

Final Status: The Battery is Dead. Long live the Interface.

© 2025 Tactical Tech Analysis Group. Generated for Research Purposes.

Wednesday, November 26, 2025

Neural Operating Server - Tensors


Enjoy this neural operating server schema: 

N-Dimensional Tensor Computing - 4D 64-bit tensor processing

 Decoupled IPC NOS Server  - For your general purpose needs