Derivative works — US Patent 7246351

Defensive Disclosure Regarding U.S. Patent 7,246,351

Publication Date: April 30, 2026
Subject: Methods and Systems for Dynamic and Distributed Application Assembly
Pertains To: U.S. Patent No. 7,246,351, "System and method for deploying and implementing software applications over a distributed network."

This document discloses a series of derivative inventions, enhancements, and alternative embodiments that build upon the concepts described in U.S. Patent 7,246,351. The purpose of this disclosure is to place these concepts into the public domain, thereby establishing prior art against future patent applications on these and similar topics.

Derivative Variations Based on Core Claims

The following disclosures expand upon the core method of a client-side assembler downloading text-based program logic from a server to dynamically build a graphical application.

I. Material & Component Substitution

Derivative 1.1: WebAssembly (WASM) Binary Assembler

Enabling Description: This embodiment replaces the "assembler program" with a lightweight, sandboxed WebAssembly (WASM) module and the "text files" with pre-compiled WASM binary-format (.wasm) modules. The starter plugin initializes the browser's WASM runtime. The WASM assembler module, upon launch, fetches specific application-logic .wasm modules from a server. These modules contain not only program logic but also pre-compiled bindings to a platform's native GUI toolkit via a WebAssembly System Interface (WASI) for graphics. The assembler performs dynamic linking of these modules in the client's memory space, composing the final application from these binary fragments rather than parsing text. This significantly accelerates application startup by eliminating the text-parsing overhead.

Mermaid Diagram:

sequenceDiagram
    participant Browser
    participant WASM_Starter as WASM Starter Plugin
    participant WASM_Assembler as WASM Assembler
    participant Server

    Browser->>WASM_Starter: User navigates to page
    WASM_Starter->>WASM_Assembler: Instantiate WASM_Assembler.wasm
    WASM_Assembler->>Server: Request AppLogic.wasm
    Server-->>WASM_Assembler: Return AppLogic.wasm
    WASM_Assembler->>WASM_Assembler: Dynamically link AppLogic.wasm
    WASM_Assembler-->>Browser: Render GUI via WASI Graphics API

Derivative 1.2: GraphQL-based Logic Fragments

Enabling Description: This variation substitutes the monolithic "text files" with a system of granular program logic fragments accessible via a GraphQL API on the server. The client-side assembler, instead of downloading entire files, constructs a GraphQL query specifying the exact UI components and business logic functions required for the current application state. The server's GraphQL resolver assembles a response containing only the requested logic fragments, delivered as a structured JSON object. This "just-in-time" logic delivery minimizes data transfer and allows for highly dynamic applications where components can be fetched and assembled incrementally as the user navigates the UI.

Mermaid Diagram:

flowchart TD
    A[Client Assembler] -- 1. GraphQL Query --> B(Server GraphQL Endpoint)
    B -- 2. Resolve Query --> C{Program Logic Fragments}
    C -- 3. Assemble JSON Response --> B
    B -- 4. Transmit JSON --> A
    A -- 5. Parse JSON & Assemble UI --> D[Rendered Application]

II. Operational Parameter Expansion

Derivative 2.1: Nanoscale / Quantum Dot Display Assembly

Enabling Description: This derivative applies the invention to rendering applications on nanoscale displays, such as those composed of quantum dots or micro-LED arrays. The "assembler program" is a firmware-level controller on the display driver IC. The "program logic" is a vector-based textual format (e.g., a specialized SVG or a custom G-code-like language) that defines UI elements as mathematical descriptions rather than pixel maps. The assembler downloads this vector logic and directly translates it into commands for activating specific quantum dots or micro-LEDs, operating at refresh frequencies exceeding 1000 Hz. This allows for ultra-high-resolution, power-efficient user interfaces on microscopic or flexible display surfaces where traditional pixel-based rendering is inefficient.

Mermaid Diagram:

graph LR
    subgraph Display Driver IC
        AssemblerFirmware
    end
    subgraph Network
        Server
    end
    subgraph Quantum Dot Display
        DisplaySurface
    end

    Server -- Vector UI Logic (e.g., nano-SVG) --> AssemblerFirmware
    AssemblerFirmware -- Low-level activation commands --> DisplaySurface

Derivative 2.2: High-Latency, Interplanetary Network Deployment

Enabling Description: This embodiment is designed for extreme-latency environments, such as a client on Mars communicating with a server on Earth. The "assembler program" is pre-loaded on the client. The "program logic" text files are encoded with forward error correction (FEC) and divided into prioritized packets. The assembler is designed to build a "probabilistic UI" — it can render a functional, low-fidelity version of the application using only a subset of the packets. As more packets arrive (potentially hours later and out of order), the assembler refines and enhances the UI and functionality. All user actions are logged locally and executed optimistically, with state synchronization requests bundled and transmitted to the server during designated communication windows. This architecture ensures application usability despite round-trip times measured in minutes or hours.

Mermaid Diagram:

stateDiagram-v2
    [*] --> LowFidelity: Incomplete logic packets received
    LowFidelity --> HighFidelity: All logic packets arrive
    HighFidelity --> LowFidelity: Connection lost / Logic invalidated
    LowFidelity: Renders basic UI, logs actions
    HighFidelity: Renders full UI, syncs actions with server

III. Cross-Domain Application

Derivative 3.1: Aerospace (Flight Control System Configuration)

Enabling Description: In this application, the "client device" is an avionics multi-function display (MFD) in a cockpit. The "assembler" is a DO-178C certified real-time operating system (RTOS) component. The "server" is the aircraft's central maintenance computer. Before a flight, the maintenance computer pushes a mission-specific "program logic" file (in a verified XML dialect) to the MFD. This logic defines the flight plan, instrument layouts, and emergency checklists for that specific mission (e.g., a cargo flight vs. a surveillance mission). The assembler builds the MFD interface in a sandboxed memory partition, ensuring that dynamic UI configuration does not interfere with core flight-critical systems. This allows for rapid, verifiable reconfiguration of cockpit displays without requiring a full software re-certification for each mission type.

Mermaid Diagram:

flowchart LR
    A[Maintenance Computer] -- Mission XML --> B(Avionics MFD);
    subgraph MFD
        C[DO-178C Assembler] -- Parses XML --> D{Sandboxed UI Partition};
        D -- Renders --> E[Cockpit Display];
    end
    B-->C;

Derivative 3.2: AgTech (Programmable Irrigation Controller)

Enabling Description: The "client device" is a network-connected irrigation valve controller in a field. The "assembler" is a lightweight interpreter running on the controller's microcontroller. The "server" is a central farm management platform. The server transmits "program logic" text files that represent daily or weekly irrigation schedules, tailored to crop type, weather forecasts, and soil moisture data. The logic is a simple, domain-specific language (e.g., "ON_VALVE(5, 30m, 20L/min); WAIT(6h);"). The assembler interprets this text file and translates it into low-level commands for the valve hardware, operating the irrigation system autonomously. This allows farmers to remotely deploy complex, adaptive watering strategies to thousands of controllers without manually reprogramming each device.

Mermaid Diagram:

sequenceDiagram
    participant FarmServer
    participant IrrigationController
    participant ValveHardware

    FarmServer->>IrrigationController: Send IrrigationPlan.txt
    IrrigationController->>IrrigationController: Assembler parses plan
    loop For each command in plan
        IrrigationController->>ValveHardware: Execute command (e.g., OPEN)
        ValveHardware-->>IrrigationController: Acknowledge
    end

Derivative 3.3: Consumer Electronics (Smart Appliance UI)

Enabling Description: The system is applied to a smart oven. The "client" is the oven's embedded touchscreen controller. The "assembler" is part of the appliance's firmware. The "server" is the manufacturer's cloud service. When a user selects a recipe from a companion mobile app, the app instructs the cloud server to send a specific "cooking logic" XML file to the oven. This XML file defines a sequence of custom UI screens (e.g., "Preheat to 425°F", "Add ingredients", "Bake for 15 minutes") and corresponding hardware commands (e.g., <setTemp unit="F">425</setTemp>). The oven's assembler builds and displays this guided cooking experience, dynamically reconfiguring its interface for each recipe.

Mermaid Diagram:

graph TD
    A[Cloud Server] -- CookingLogic.xml --> B[Smart Oven Controller]
    subgraph B
        C[Firmware Assembler]
    end
    B --> C
    C -- Assembles --> D[Dynamic UI on Oven Screen]
    C -- Sends Commands --> E[Oven Heating Elements/Timers]

IV. Integration with Emerging Tech

Derivative 4.1: AI-Driven UI/UX Optimization

Enabling Description: The server component is enhanced with an AI/ML model that dynamically generates the "program logic" text files. The server monitors user interactions (e.g., click-through rates, task completion times, hesitation metrics) in real-time. The AI model uses this data to conduct continuous A/B testing, generating variant XML files with different UI layouts, component placements, or workflows. These variants are served to different user segments. The model learns which variations perform best and automatically adapts the baseline "program logic," optimizing the application's user experience autonomously over time.

Mermaid Diagram:

flowchart
    A[User Interaction Data] --> B(AI Optimization Engine);
    B -- Generates --> C(Program Logic XML v1.1);
    C --> D[Client Assembler];
    D -- Renders --> E[Application UI];
    E -- Captures --> A;
    B -- Generates --> F(Program Logic XML v1.2);
    F --> G[Client Assembler];
    G -- Renders --> H[Variant UI];
    H -- Captures --> A;

Derivative 4.2: IoT Sensor-Triggered Application Assembly

Enabling Description: The "starter plugin" is replaced by an IoT event listener on a gateway device. An array of IoT sensors (e.g., temperature, pressure, motion) reports data to the gateway. When sensor data crosses a predefined threshold (e.g., temperature exceeds 100°C), the event listener triggers the "assembler program." The assembler then requests a specific "program logic" file from a server corresponding to that alert (e.g., temp_alert_ui.xml). This logic assembles a diagnostic dashboard or an emergency control interface on a nearby operator terminal, providing immediate, context-specific information and controls without requiring a monolithic monitoring application to be constantly running.

Mermaid Diagram:

sequenceDiagram
    participant Sensor
    participant IoT_Gateway
    participant Assembler
    participant Server
    participant Operator_Terminal

    Sensor->>IoT_Gateway: Temperature = 101°C
    IoT_Gateway->>Assembler: Trigger(event='TEMP_HIGH')
    Assembler->>Server: Request(logic='temp_alert_ui.xml')
    Server-->>Assembler: Return XML
    Assembler->>Operator_Terminal: Assemble and Display Diagnostic UI

Derivative 4.3: Blockchain-Verified Program Logic

Enabling Description: The server stores hashes of all "program logic" text files on a distributed ledger (blockchain). Before the client-side assembler parses a downloaded text file, it first computes the file's hash and verifies it against the corresponding hash on the blockchain via a smart contract query. This ensures the integrity and authenticity of the application logic, preventing man-in-the-middle attacks or unauthorized server-side modifications. The "starter plugin" can also verify the assembler program's own integrity against a hash stored on the ledger during installation, creating a chain of trust from the client runtime to the application logic being executed.

Mermaid Diagram:

graph TD
    subgraph Server
        A[ProgramLogic.xml] --> B(Compute Hash);
        B --> C[Store Hash on Blockchain];
    end
    subgraph Client
        D[Assembler] -- Downloads --> A;
        D --> E(Compute Hash of Local File);
        E -- Verifies Against --> C;
        F{Verification} -- OK --> G[Assemble Application];
        F -- Fail --> H[Abort];
    end

V. The "Inverse" or Failure Mode

Derivative 5.1: Graceful Degradation Assembler

Enabling Description: This variation uses a "safe-mode" assembler designed for low-power or low-connectivity environments. The XML "program logic" files are structured with explicit priority tags (e.g., <element priority="critical"> vs. <element priority="optional">). When the assembler detects a low-battery state, high memory pressure, or a weak network signal, it enters a degraded mode. In this mode, it parses the XML but only assembles elements tagged as "critical" or "core." All non-essential UI components (e.g., animations, high-resolution images, analytics trackers) are ignored. This ensures that the application's core functionality remains available to the user, providing a predictable, low-resource fallback instead of a complete application failure.

Mermaid Diagram:

stateDiagram-v2
    state "Full Functionality" as Full
    state "Degraded Mode" as Degraded

    [*] --> Full : Normal Conditions
    Full --> Degraded : Low Power OR Weak Signal
    Degraded --> Full : Conditions Improve
    Degraded: Assembles only <br/>'<... priority="critical">'<br/>elements

Combination Prior Art Scenarios

Scenario 1: Combination with the OpenAPI Specification (formerly Swagger)

Description: The core method of the '351 patent is combined with the OpenAPI standard. The "program logic" text file is an OpenAPI 3.0 YAML or JSON document. The "assembler program" is a generic OpenAPI client generator that, instead of generating static code, dynamically generates a user interface in memory. Upon downloading an openapi.yaml file, the assembler parses the paths and components/schemas sections to build interactive forms for each API endpoint, complete with input validation based on the defined data schemas. This creates a system for instantly generating a functional UI for any RESTful API that adheres to the OpenAPI standard.

Scenario 2: Combination with the WebXR Device API Standard

Description: The invention is combined with the W3C's WebXR Device API to deploy augmented reality (AR) and virtual reality (VR) experiences. The "client device" is a VR headset or AR-enabled smartphone. The "assembler" is a JavaScript library that interfaces with the WebXR API. The "program logic" is a text file using a declarative 3D scene-graph format like glTF (in its .gltf JSON representation) or A-Frame's HTML-like syntax. The assembler downloads this file and dynamically constructs a 3D scene, rendering it into the AR/VR environment. This allows for the deployment of interactive XR experiences over the web without requiring users to install large, standalone applications.

Scenario 3: Combination with the IETF's Constrained Application Protocol (CoAP)

Description: The system is adapted for constrained IoT devices by using CoAP as the transport protocol instead of HTTP. The "assembler" is a minimal binary running on a low-power microcontroller (e.g., an ARM Cortex-M series). The "program logic" is a highly compact, binary-encoded text format like CBOR (Concise Binary Object Representation) instead of verbose XML. The server is a CoAP server, and the client assembler uses a CoAP client to GET the CBOR-encoded logic. This combination allows the dynamic application assembly model to function efficiently over low-power, lossy networks (LLNs) like 6LoWPAN, making it suitable for industrial and environmental sensor networks.