Patent 5948040
Derivative works
Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.
Active provider: Google · gemini-2.5-flash
Derivative works
Defensive disclosure: derivative variations of each claim designed to render future incremental improvements obvious or non-novel.
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Defensive Disclosure: Enhancing US Patent 5948040 to Preempt Future Claims
This defensive disclosure document outlines numerous derivative variations of US Patent 5948040, "Travel reservation information and planning system." The goal is to proactively expand the prior art landscape, rendering incremental improvements by competitors as obvious or non-novel by detailing advanced technical implementations across various axes of innovation.
Derivative Variations for Independent Claim 1: Travel Reservation and Information System (TRIPS)
Claim 1: Core Elements: Digital computer device, computer display, computer link, electronic maps, TRIPS database (loc/objects, POIs, EOIs, organized by type as electronic overlays), TRIPS software (user selection of origin, destination, waypoints; calculates/delineates/displays travel route based on user choice: shortest, quickest, preferred, considering availability/pricing/times), transaction subsystem (compare/shop ticket/reservation prices, handle inquiries, offers, bids, commitments, billing, credit validation, debit transfers, cyber-money), TRIPS-generated itinerary document (maps, tickets, machine-readable encoding), printer (for itinerary document), multimedia travelog preview (customized for user-defined route, including multimedia info on routes, waypoints, POIs, and reservation info like availability, arrival/departure, pricing), and iterative trip planning (allows user to revise travel route and reconstruct travelog).
Derivative 1.1: Material & Component Substitution - Distributed Ledger for Transactions and Identity
- Enabling Description: Instead of a centralized transaction subsystem, this derivative employs a permissioned blockchain network for financial and identity operations. Each participant (travel service provider, user's financial institution, TRIPS platform) operates a node. User reservations, ticket purchases, and payment authorizations are recorded as immutable transactions. Smart contracts automate price comparisons and reservation commitments based on user preferences. Credit account validation utilizes cryptographic proofs exchanged between the user's decentralized digital wallet and their financial institution's node, eliminating direct exposure of sensitive financial data to the TRIPS platform. "Cyber-money" transfers are executed as native cryptocurrency or stablecoin transactions on the DLT. User identity for reservations is managed via Decentralized Identifiers (DIDs) linked to Verifiable Credentials, enhancing privacy and security. The system's printer integrates a secure hardware element for generating and embedding unique cryptographic hashes or QR codes on physical tickets, linked to the on-chain transaction for machine-readable verification at service points.
flowchart TD
A[User Digital Wallet (DIDs/VCs)] -- User Auth, Payment Request --> B{TRIPS Software Interface}
B -- Smart Contract Call (Price Comparison, Reservation, Payment) --> C[Permissioned Blockchain Network]
C -- Transaction Data --> D[Travel Service Provider Node]
C -- Payment Settlement --> E[Financial Institution Node]
C -- Confirmed Reservation ID, Encrypted Ticket Data --> B
B -- Generate & Print Itinerary/Ticket (Crypto Hash/QR) --> F[Secure Printer (Hardware Element)]
F -- Machine-readable QR/Hash --> G[Verification Scanner (Service Point)]
G -- Validate against Blockchain --> C
Derivative 1.2: Operational Parameter Expansion - Real-time, Hyper-localized Micro-Travel Planning
- Enabling Description: This derivative focuses on hyper-localized travel planning within extremely constrained geographic areas (e.g., a single urban district, a large airport terminal, or a multi-story convention center) and short temporal windows (minutes to hours). The TRIPS database integrates nanoscale indoor positioning system (IPS) data (e.g., Bluetooth Low Energy beacons, Ultra-Wideband (UWB), Wi-Fi triangulation) to provide real-time, sub-meter accuracy for loc/objects, POIs, and EOIs. The electronic maps are dynamic, multi-layer overlays representing indoor floor plans, pedestrian pathways, crowd density heatmaps, and real-time accessibility information. The TRIPS software calculates routes optimized for pedestrian flow, shortest queue times (e.g., for security checks, coffee shops), or shortest walking distance factoring in elevator/escalator availability. The transaction subsystem offers micro-reservations for immediate services like specific seating at a food court, expedited entry to a pop-up event, or rental of a smart locker. Pricing and availability are highly dynamic, adjusting every few seconds based on demand and capacity. The multimedia travelog provides augmented reality (AR) overlays on the user's mobile device, guiding them through complex indoor environments with real-time directions and contextual information on nearby amenities.
graph TD
A[User Mobile Device (AR/IPS)] -- Real-time Location, Input --> B{TRIPS Software (Hyper-local Processor)}
B -- Indoor Map & POI Data --> C[TRIPS Database (Local Cache, IPS Feed)]
C -- Real-time Sensor Data (Crowd, Queues) --> D[IPS/IoT Sensor Network]
B -- Route Calculation (Pedestrian Flow, Queue Time) --> B
B -- Micro-Reservation Request (Dynamic Pricing) --> E[Transaction Subsystem (Micro-services API)]
E -- Confirmation, AR Guidance Data --> B
B -- Display AR Directions, Multimedia Travelog --> A
Derivative 1.3: Cross-Domain Application - Logistics and Supply Chain Optimization
- Enabling Description: The TRIPS system is adapted for optimizing complex logistics and supply chain operations. The "digital computer device" is a central logistics management platform, and the "computer link" connects to a network of distributed fleet vehicles, warehouses, and suppliers. The "electronic maps" represent global transportation networks (roads, rail, air, sea) and internal warehouse layouts. The "TRIPS database" stores "loc/objects" as inventory items, "POIs" as distribution centers, ports, or customer delivery points, and "EOIs" as scheduled pick-up/delivery windows or maintenance events. The "TRIPS software" calculates optimal delivery routes for fleets (considering factors like fuel efficiency, traffic congestion, cargo capacity, delivery deadlines), dynamically re-routing based on real-time incidents (e.g., road closures, unexpected delays). The "transaction subsystem" manages contracts with carriers, customs fees, and payment for tolls or expedited shipping, comparing and "shopping" for optimal freight rates. The "itinerary document" becomes a dynamic manifest and routing guide, including maps, barcoded shipping labels, and machine-readable customs declarations. The "multimedia travelog" provides a visual simulation of the supply chain journey, highlighting potential bottlenecks or critical waypoints, and offering predictive analytics on arrival times and potential risks.
flowchart LR
A[Logistics Platform (Central Computer)] -- Route Planning Request --> B{TRIPS Software (Logistics Module)}
B -- Global Transport Network, Warehouse Layouts --> C[TRIPS Database (Supply Chain GIS)]
C -- Real-time Data (Traffic, Weather, Inventory) --> D[IoT/Fleet Telematics]
B -- Calculate Optimized Route & Schedule --> B
B -- Freight Quote Request --> E[Transaction Subsystem (Freight Brokerage API)]
E -- Contract, Payment Info --> B
B -- Generate Dynamic Manifest/Routing Guide --> F[Printer/Digital Display]
F -- Barcode/Machine-readable Data --> G[Scanning Device (Warehouse, Customs)]
B -- Supply Chain Simulation, Predictive Analytics --> H[Multimedia Travelog (Visual Analytics)]
Derivative 1.4: Integration with Emerging Tech - AI-Driven Predictive Route Optimization with IoT and Smart Contracts
- Enabling Description: This TRIPS derivative leverages AI, IoT, and blockchain for highly intelligent and automated travel planning. The "TRIPS software" incorporates a machine learning (ML) model (e.g., a Reinforcement Learning agent or deep neural network) trained on vast datasets of historical travel patterns, real-time traffic, weather, public transit schedules, social media events, and user preferences. IoT sensors embedded in infrastructure (roads, public transport, venues) and user devices provide real-time environmental and contextual data feeds. This data is processed by the AI to predict optimal routes and schedules, not just based on shortest/quickest, but also factoring in predicted comfort levels, likelihood of delays, and personalized interest matching (e.g., identifying impromptu street performances near a route). The "transaction subsystem" utilizes AI for dynamic pricing recommendations and automated negotiation of reservations via smart contracts on a blockchain. These smart contracts automatically execute payment and issue digital tickets (NFTs or similar verifiable credentials) upon meeting predefined conditions (e.g., guaranteed lowest price, specific amenity confirmation). The "multimedia travelog" is an interactive, AI-curated experience, dynamically adjusting content based on real-time conditions and user interaction, providing predictive visualisations of the journey, including potential delays, weather changes, and personalized recommendations of POIs/EOIs that align with predicted user mood or interests.
sequenceDiagram
participant U as User
participant TSP as Travel Service Provider
participant T as TRIPS Platform
participant I as IoT Sensors/External Data
participant A as AI/ML Model
participant B as Blockchain/Smart Contracts
U->T: Define Origin, Destination, Preferences
T->I: Request Real-time Data (Traffic, Weather, Events)
I-->T: Real-time Feeds
T->A: Feed Data, Preferences
A->A: Predict Optimal Route, POIs, EOI, Dynamic Pricing
A-->T: Optimized Plan, Reservation Offers
T->U: Display Optimized Plan, Curated Travelog
U->T: Select Plan, Authorize Payment
T->B: Initiate Smart Contract (Reservation, Payment)
B-->>TSP: Reservation Request (via Smart Contract)
TSP-->>B: Confirm Reservation, Availability
B->B: Execute Payment, Issue Digital Ticket (NFT)
B-->T: Confirmation, Ticket Data
T->U: Display/Print Digital Ticket, Updated Travelog
U->A: Continuous Feedback (during travel)
A->A: Refine ML Model
Derivative 1.5: The "Inverse" or Failure Mode - Limited-Functionality Disaster Relief & Evacuation Planning
- Enabling Description: This TRIPS derivative is designed to operate under severely degraded infrastructure conditions, specifically for disaster relief, emergency evacuation, or humanitarian aid. The "digital computer device" is a ruggedized, portable server (e.g., a mobile ad-hoc network node) with redundant power sources. The "computer link" prioritizes low-bandwidth, intermittent satellite, mesh, or peer-to-peer radio communications over traditional internet. "Electronic maps" are pre-cached, low-resolution topological maps and critical infrastructure overlays, augmented with real-time damage assessments from drone imagery or ground reports. The "TRIPS database" stores essential "loc/objects" (e.g., emergency shelters, medical facilities, water sources), "POIs" (e.g., safe zones, resource distribution points), and "EOIs" (e.g., convoy departure times, scheduled aid drops). The "TRIPS software" calculates "safest available routes" prioritizing minimal exposure to hazards, assessing structural integrity of roads/bridges, and avoiding contaminated areas. The "transaction subsystem" is simplified, focusing on allocation of scarce resources (e.g., assigning available transport capacity, confirming shelter space) via a token-based system, without complex financial transactions. The "itinerary document" is a basic, monochrome, print-on-demand route card with essential directions and safety warnings, possibly including a simple, hand-drawable map, generated by a low-power printer. The "multimedia travelog" is a text-only or icon-based sequence of critical safety instructions, waypoints, and emergency contact information, displayed on ruggedized handheld devices or audibly conveyed via text-to-speech.
graph TD
A[Emergency Management Console (Ruggedized)] -- Query Safe Route, Resource Allocation --> B{TRIPS Software (Emergency Mode)}
B -- Pre-cached Maps, Infrastructure Overlays --> C[TRIPS Database (Local, Resilient)]
C -- Real-time Damage/Hazard Data --> D[Drone/Ground Reports (Low-Bandwidth Comm)]
B -- Calculate Safest Available Route --> B
B -- Resource Allocation Request --> E[Transaction Subsystem (Token-based)]
E -- Allocation Confirmation --> B
B -- Generate Route Card (Low-Power) --> F[Ruggedized Printer]
F -- Basic Directions, Safety Warnings --> G[Emergency Responders/Evacuees]
B -- Text/Icon Safety Instructions --> H[Ruggedized Handhelds (Multimedia Travelog)]
Derivative Variations for Independent Claim 25: Method of Travel Reservation Information and Planning
Claim 25: Core Elements (Method): Providing user access to database of mappable geographic information (to create user-determined digital map), linking travel information associated with geographic information (making it accessible), making reservation information and materials from travel service providers accessible, providing user with customized output (associated with travel plan, including map/ticket combo with machine-readable encoding), remote accessibility via modem link, electronic data transfer between digital computer and another digital computer, PDA, or GPS receiver.
Derivative 2.1: Material & Component Substitution - Open-Source Geospatial Data and Federated Identity
- Enabling Description: This method involves providing user access to mappable geographic information sourced from OpenStreetMap (OSM) data and rendered using open-source mapping libraries (e.g., Leaflet.js, OpenLayers). Travel information is linked from community-maintained wikis (e.g., WikiVoyage) and federated travel information services, made accessible via open APIs that adhere to common data standards. Reservation information and materials from travel service providers are made accessible through standardized OpenTravel Alliance (OTA) XML messages or GraphQL endpoints. User authentication for accessing reservation materials and personalizing maps is handled via a federated identity management system using OpenID Connect and OAuth 2.0, allowing users to leverage existing social or enterprise identities. The customized output is generated as a Web-based itinerary document using SVG for maps and embedded JSON Web Tokens (JWTs) for machine-readable reservation encoding, which can be dynamically rendered by any modern web browser or printed locally. Remote accessibility is achieved via standard HTTPS over any internet connection. Electronic data transfer to other digital computers, PDAs, or GPS receivers occurs using standardized protocols like WebDAV for file synchronization or MQTT for real-time updates of location-based content.
flowchart TD
A[User (Browser/App)] -- OpenID Connect Auth --> B{Federated Identity Provider}
B -- Authenticated Session --> C[TRIPS Web Service]
C -- Geographic Data Request --> D[OpenStreetMap/GIS API]
D-->C: Mappable Geographic Info (OSM)
C -- Travel Info Request --> E[Community Travel Wiki/Federated Services API]
E-->C: Linked Travel Info
C -- Reservation Request (OTA XML/GraphQL) --> F[Travel Service Provider API]
F-->C: Reservation Data
C -- Generate Customized Output (SVG Map, JWT) --> A
A -- Print / Save / Sync --> G[Printer/Local Storage/Portable Device]
C -- Data Transfer (WebDAV/MQTT) --> G
Derivative 2.2: Operational Parameter Expansion - Planetary-Scale Interstellar Travel Planning
- Enabling Description: This method extends travel planning to interstellar distances and orbital mechanics. The "database of mappable geographic information" comprises astrometric data for star systems, exoplanet surface topography, orbital trajectories, and deep-space navigational charts. User-determined digital maps are 3D volumetric representations of star systems or planetary surfaces. "Travel information" linked to this geographic data includes propulsion system requirements (e.g., warp drive consumption, reaction mass calculations), celestial phenomena advisories (e.g., asteroid fields, radiation belts), and habitability assessments. "Reservation information and materials" pertain to scheduling orbital transfer windows, starship berths, planetary landing permits, and resource allocations (e.g., fuel, life support consumables) on celestial bodies or space stations. The customized output is an astrogation chart detailing FTL jumps, orbital maneuvers, and planetary descent profiles, with machine-readable encoding for mission manifest and parameter verification. Remote accessibility relies on highly asynchronous, burst-transmission deep-space communication protocols (e.g., CCSDS). Electronic data transfer to "portable digital devices" like ship's navigation computers or individual EVA (Extravehicular Activity) suit HUDs uses robust, error-correcting quantum entanglement or laser communication links for critical data.
graph TD
A[Astrogator Console] -- Mission Parameters --> B{TRIPS Software (Interstellar Navigation Module)}
B -- Astrometric Data, Exoplanet Topo --> C[TRIPS Database (Planetary/Interstellar GIS)]
C -- Propulsion Specs, Celestial Advisories --> D[Deep Space Nav Data Feeds]
B -- Calculate Optimal Trajectories --> B
B -- Resource Allocation/Permit Request --> E[Interstellar Transaction Authority API]
E -- Confirmation --> B
B -- Generate Astrogation Chart, Mission Manifest --> F[Display/Printer (Shipboard)]
F -- Machine-readable Encoded Data --> G[Starship Nav Computer/EVA HUD]
B -- Asynchronous Data Transfer --> G
Derivative 2.3: Cross-Domain Application - Bio-Nanobot Drug Delivery & Cellular Pathway Planning
- Enabling Description: This method applies the TRIPS framework to microscopic biological systems. The "database of mappable geographic information" is a detailed 3D map of a biological entity (e.g., a human organ, a specific cell, or intracellular pathways), constructed from high-resolution microscopy and genomic data. "User-determined digital maps" visualize cellular structures and molecular landscapes. "Travel information" linked to this map includes molecular diffusion rates, receptor binding affinities, enzyme activity zones, and cellular transport mechanisms. "Reservation information and materials" pertain to scheduling the release and activation of therapeutic nanobots, reserving specific cellular pathways for drug transport, or confirming binding sites on target cells for targeted therapy. The "customized output" is a bio-nanobot deployment plan, including a 3D cellular pathway map and machine-readable genetic sequences or molecular markers for nanobot identification and activation. Remote accessibility is achieved via direct neural interface for real-time monitoring and control, or through localized bio-sensors transmitting data. Electronic data transfer is to specialized bio-computing units or direct programming of nanobot swarm control systems for autonomous operation within the body.
sequenceDiagram
participant P as Physician/Researcher
participant B as Bio-TRIPS System
participant C as Cellular Environment Database
participant N as Nanobot Control Unit
participant T as Target Cell/Tissue
P->B: Define Target (e.g., cancer cell), Drug Payload, Delivery Goal
B->C: Request 3D Cellular Map, Molecular Data
C-->B: Genomic & Microscopy Data
B->B: Link Drug Delivery Info (diffusion, binding affinity)
B->B: Plan Nanobot Pathway, Activation Schedule
B->T: Query Target Cell Receptors (real-time)
T-->B: Receptor Availability
B->N: "Reserve" Pathway/Binding Site (via programmed instructions)
N-->B: Confirmation
B->P: Display 3D Pathway Map, Nanobot Deployment Plan (Customized Output)
P->N: Transfer Genetic Sequence/Molecular Markers (Machine-readable)
N->T: Deploy Nanobots, Execute Delivery
Derivative 2.4: Integration with Emerging Tech - Quantum-Secure, Decentralized Event-Driven Route Planning
- Enabling Description: This method integrates quantum computing principles for secure data, decentralized autonomous organizations (DAOs), and event-driven architectures. User access to the "database of mappable geographic information" is mediated by quantum-safe cryptographic protocols, ensuring data integrity against future quantum attacks. The database itself is a distributed ledger managed by a DAO of geospatial data providers. "Travel information" is linked and made accessible through a decentralized oracle network that aggregates real-time data feeds, authenticated by cryptographic proofs. "Reservation information" is provided by travel service DAOs, where booking logic is encoded in smart contracts on a quantum-resistant blockchain. The customized output is generated as a holographic projection or a quantum-encrypted data stream, representing the map/ticket combination, with machine-readable encoding derived from quantum key distribution. Remote accessibility is provided through a mesh network utilizing post-quantum cryptographic algorithms for secure communication. Electronic data transfer to portable devices (e.g., quantum-resistant mobile devices or biometric implants) is achieved using secure multi-party computation and homomorphic encryption, allowing processing of reservation data without decryption on untrusted devices.
graph TD
A[User (Quantum-Resistant Device)] -- Quantum-Safe Query --> B{TRIPS Gateway (Post-Quantum Crypto)}
B -- DAO Data Access Request --> C[Geospatial Data DAO (Distributed Ledger)]
C -- Authenticated Real-time Data --> D[Decentralized Oracle Network]
D -- Quantum-Resistant Smart Contract Call --> E[Travel Service DAO (Blockchain)]
E -- Reservation Confirmation (Quantum-Encrypted) --> B
B -- Generate Holographic/Quantum-Encrypted Output --> A
A -- Data Transfer (Homomorphic Encryption) --> F[Biometric Implant/Portable Quantum Device]
Derivative 2.5: The "Inverse" or Failure Mode - Privacy-Preserving "Ghost" Travel Planning
- Enabling Description: This method is designed for maximal privacy and untraceability, representing an "inverse" where traditional tracking and data aggregation are actively circumvented. User access to the "database of mappable geographic information" is performed entirely client-side using anonymized, open-source map data, or via a trusted execution environment (TEE) on a remote server that blinds user queries. "Travel information" is linked and made accessible through peer-to-peer networks (e.g., Tor, IPFS) without central logging. "Reservation information and materials" are accessed through encrypted, one-time-use virtual payment methods and pseudonymized booking agents, ensuring no direct link to the user's real identity. The customized output is a disposable, non-identifiable travel voucher with randomized, single-use machine-readable tokens for validation, designed to expire immediately after use. This output is rendered on an offline, air-gapped device and printed using a local, un-networked printer. Remote accessibility is strictly through anonymizing relays, and electronic data transfer to portable devices (e.g., encrypted USB, SD cards) is manual, physical "sneaker-net" transfer between air-gapped systems, preventing digital trails. The system actively purges all temporary data related to the travel plan after a short, configurable period.
flowchart TD
A[User (Offline/Air-gapped PC)] -- Manual Data Load (Encrypted USB) --> B{TRIPS Software (Client-side, Anonymized)}
B -- Anonymized Map Data --> C[Local Open-Source Map DB]
B -- P2P Query (Tor/IPFS) --> D[Decentralized Travel Info Sources]
D-->B: Linked Travel Info (Encrypted)
B -- Virtual Payment/Pseudonymized Booking --> E[Encrypted Reservation Gateway]
E-->B: Reservation Tokens
B -- Generate Disposable Travel Voucher (Single-use Tokens) --> F[Local Un-networked Printer]
F -- Physical Transfer --> G[Portable Encrypted Device]
B -- Auto-Purge Data --> B
Derivative Variations for Independent Claim 26: Method for Providing Travel Reservation and Information Services
Claim 26: Core Elements (Method): Providing digital computer device, display, computer link, providing TRIPS database (loc/objects, supplemental POIs, scheduled EOIs, organized by types as electronic overlays), providing TRIPS software (enabling user selection of origin, destination, waypoints; calculating, delineating, displaying travel route (shortest, quickest, preferred, considering availability/pricing/times); permitting user to compare and shop for ticket/reservation prices), generating TRIPS-generated itinerary document (maps, tickets, machine-readable encoding), printing said itinerary document, providing customized travelog preview (multimedia info, reservation data) for user-defined route, enabling iterative refinement (revision of route based on preview).
Derivative 3.1: Material & Component Substitution - Bio-Integrated Computing and Neural Interfaces
- Enabling Description: This method involves providing a bio-integrated computing device with a neural interface (e.g., direct brain-computer interface or advanced augmented reality contact lenses for display) and a high-bandwidth neural link. The TRIPS database is stored in a decentralized, neuromorphic data fabric, accessible via thought commands. The "loc/objects" and "POIs" are represented as neuro-semantic tags within a cognitive map, and "EOIs" are projected onto the user's temporal lobe. The TRIPS software interprets neural commands for selecting origin, destination, and waypoints. Route calculation occurs within specialized neural processing units, leveraging predictive neural networks to assess "preferred" routes based on subconscious user biometric responses (e.g., stress levels associated with traffic). The "transaction subsystem" integrates with a digital currency implant for seamless, thought-controlled comparison and purchase of bio-digital tickets/reservations. The "itinerary document" is generated as a personalized cognitive map overlay, projecting directions and reservation confirmations directly onto the user's visual cortex, with machine-readable neural patterns for verification. Printing involves direct neural impression onto a secure data crystal or a bio-luminescent display. The "multimedia travelog preview" is an immersive, sensory-rich neural simulation of the journey, enabling intuitive "feeling" of route and POI experiences for iterative refinement.
sequenceDiagram
participant U as User (Neural Interface)
participant B as Bio-Integrated TRIPS System
participant N as Neuromorphic Data Fabric
participant C as Cognitive Map Processor
participant D as Digital Currency Implant
U->B: Neural Input (Origin, Destination, Preferences)
B->N: Access Neuro-Semantic Tags (Loc/Objects, POIs, EOIs)
N-->B: Cognitive Map Data
B->C: Route Calculation (Predictive Neural Networks)
C-->B: Optimal Route (based on biometric response)
B->B: Project Reservation Offers (Neural Display)
U->D: Neural Authorization (Compare & Purchase)
D-->B: Transaction Confirmation (Bio-digital Ticket)
B->U: Generate Cognitive Map Overlay (Itinerary Document)
U->B: Experience Sensory Preview (Multimedia Travelog)
U->B: Neural Input (Iterative Refinement)
Derivative 3.2: Operational Parameter Expansion - Sub-atomic Particle Beam Routing and Scheduling
- Enabling Description: This method is applied to the ultra-precise control and scheduling of sub-atomic particle beams in advanced physics experiments or material science fabrication. The "digital computer device" is a quantum accelerator control system with an ultra-high-resolution holographic display. The "computer link" utilizes quantum entanglement for instantaneous data transfer across shielded environments. The "TRIPS database" contains quantum field maps, particle interaction cross-sections ("loc/objects"), experimental target points ("POIs"), and scheduled beam pulse timings ("EOIs"). The "TRIPS software" enables researchers to define a particle source (origin), experimental detector (destination), and specific interaction points (waypoints). It calculates, delineates, and displays optimal beam trajectories, considering factors like particle decay rates, magnetic field strength for steering, and collision probabilities. The "transaction subsystem" manages allocation of accelerator time, energy budgets, and access to specialized detectors, comparing and shopping for available resources across a distributed network of scientific facilities. The "itinerary document" is a quantum circuit diagram of the particle's journey, with machine-readable quantum states encoding experimental parameters. Printing involves generating a stable quantum state configuration. The "multimedia travelog preview" is a real-time quantum simulation of the particle beam's trajectory and interactions, allowing physicists to iteratively refine experimental setups.
graph TD
A[Quantum Accelerator Control System] -- Define Particle Source, Target --> B{TRIPS Software (Particle Physics)}
B -- Quantum Field Maps, Cross-sections --> C[TRIPS Database (Sub-atomic)]
C -- Real-time Beamline Status --> D[Detector/Accelerator Sensors]
B -- Calculate Optimal Beam Trajectory --> B
B -- Resource Allocation Request --> E[Distributed Facility Scheduler]
E -- Allocation Confirmation --> B
B -- Generate Quantum Circuit Diagram --> F[Holographic Display/Quantum State Printer]
F -- Machine-readable Quantum States --> G[Experimental Control Module]
B -- Real-time Quantum Simulation --> H[Multimedia Travelog (Physicist View)]
Derivative 3.3: Cross-Domain Application - Automated Agricultural Harvest Path Planning
- Enabling Description: This method provides travel reservation and information services for autonomous agricultural machinery. The "digital computer device" is a central farm management system, with a display showing a topographic map of the farm. The "computer link" uses a robust, long-range wireless mesh network. The "TRIPS database" stores "loc/objects" as individual plants or rows, "POIs" as specific harvest areas or problematic soil patches, and "EOIs" as scheduled irrigation cycles or pesticide applications. The "TRIPS software" enables a farmer to select a field (origin), a processing station (destination), and specific harvest zones (waypoints). It calculates and displays optimal harvest paths for autonomous tractors or drones, considering factors like soil moisture, crop yield density, machinery fuel/battery levels, and ground conditions. The "transaction subsystem" manages scheduling of machinery, allocation of specific tools (e.g., different combine heads), and ordering of consumables (e.g., fuel, water), comparing and shopping for optimal efficiency. The "itinerary document" is an optimized harvest map for the autonomous vehicle, with machine-readable instructions for navigation and tool operation. Printing generates a physical map or transmits the data directly to the vehicle's onboard computer. The "multimedia travelog preview" provides a simulated aerial view of the planned harvest, highlighting potential issues or areas for improvement, allowing for iterative refinement of the harvest plan.
flowchart TD
A[Farm Management System] -- Define Field, Processing Station, Harvest Zones --> B{TRIPS Software (Agri-Logistics)}
B -- Topographic Maps, Plant/Soil Data --> C[TRIPS Database (Farm-specific GIS)]
C -- Real-time Data (Moisture, Yield, Machinery Status) --> D[IoT Farm Sensors/Vehicles]
B -- Calculate Optimized Harvest Path --> B
B -- Resource/Tool Allocation Request --> E[Machinery Scheduler/Supply Chain]
E -- Allocation/Order Confirmation --> B
B -- Generate Harvest Map/Instructions --> F[Vehicle Onboard Computer/Printer]
F -- Machine-readable Codes --> G[Autonomous Harvester]
B -- Simulated Aerial View, Issue Highlights --> H[Multimedia Travelog (Farmer View)]
Derivative 3.4: Integration with Emerging Tech - Swarm Robotics & Decentralized Fleet Coordination
- Enabling Description: This method orchestrates fleets of autonomous swarm robots for tasks like environmental monitoring or infrastructure inspection. The "digital computer device" is a swarm intelligence control hub, with a dynamic 3D volumetric display. The "computer link" is a resilient mesh network with decentralized consensus mechanisms. The "TRIPS database" stores "loc/objects" as target inspection points, "POIs" as charging stations or data offload points, and "EOIs" as synchronized data collection events. The "TRIPS software" enables an operator to select a deployment zone (origin), mission objective area (destination), and critical data collection points (waypoints) for the entire swarm. It calculates, delineates, and displays optimized collective movement patterns for the swarm, considering factors like energy efficiency, collision avoidance, communication range, and task distribution among robots. The "transaction subsystem" manages allocation of specialized robot modules, procurement of spare parts, and dynamic adjustment of processing power from cloud resources, comparing and shopping for best available options within the decentralized network. The "itinerary document" is a swarm mission plan, including aggregated route maps and machine-readable individual robot task assignments encoded with verifiable credentials. Printing involves deploying the mission plan directly to the swarm's collective intelligence. The "multimedia travelog preview" is a real-time 3D simulation of the swarm's planned operation, highlighting individual robot paths and potential points of failure, enabling iterative refinement of swarm behavior and mission parameters.
classDiagram
class SwarmControlHub {
+3D Volumetric Display
+TRIPS Software (Swarm AI)
+Mesh Network Link
}
class TRIPS_DB_Swarm {
+LocObjects[]
+POIs[]
+EOIs[]
}
class SwarmRobot {
+Energy Sensors
+Navigation Module
+Task Executor
+VerifiableCredentials
}
class TransactionSubsystem_Decentralized {
+ModuleAllocation
+PartsProcurement
+CloudResourceBidding
}
class MultimediaTravelog_Swarm {
+Real-time3DSimulation
+FailurePrediction
}
SwarmControlHub "1" -- "*" TRIPS_DB_Swarm : accesses
SwarmControlHub "1" -- "*" SwarmRobot : coordinates
SwarmControlHub "1" -- "1" TransactionSubsystem_Decentralized : interacts
SwarmControlHub "1" -- "1" MultimediaTravelog_Swarm : generates
TRIPS_DB_Swarm <.. SwarmRobot : data feeds
Derivative 3.5: The "Inverse" or Failure Mode - "Bare Bones" Minimalist Navigation & Escape Route Planning
- Enabling Description: This method focuses on providing essential navigation and escape route planning under extreme resource constraints, such as a complete system blackout or hostile environment. The "digital computer device" is a standalone, ultra-low-power, read-only memory device (e.g., e-ink display with kinetic charging). The "computer link" is non-existent; all data is pre-loaded. The "TRIPS database" is a highly compressed, vector-based dataset of critical "loc/objects" (e.g., exits, safe zones, emergency caches), "POIs" (e.g., medical kits, water sources), and "EOIs" (e.g., timed door lock/unlock schedules, hazard dissipation forecasts). The "TRIPS software" is a minimal-footprint, deterministic algorithm for calculating "quickest escape routes" based solely on pre-loaded static hazard maps and known structural integrity, without real-time updates or user preferences. The "transaction subsystem" is disabled; there are no reservations or purchases. The "itinerary document" is a highly simplified, monochromatic, static "bread-crumb" trail map with essential text directions, generated directly on the e-ink display without printing (as printing implies more power/components). The "multimedia travelog preview" is non-existent; instead, a "critical path indicator" highlights the single optimal escape route, visually guiding the user with minimal information to conserve power and reduce cognitive load during an emergency. Iterative refinement is limited to selecting alternative pre-calculated "safe points."
stateDiagram
[*] --> Initialized
Initialized --> Preloaded_Data_Available : System Boot (Kinetic Power)
Preloaded_Data_Available --> Route_Selection : User selects "Escape"
Route_Selection --> Calculating_Route : TRIPS software (minimal algorithm)
Calculating_Route --> Route_Displayed : Display (e-ink) Static Breadcrumb Map
Route_Displayed --> Critical_Path_Indicator : Highlight Single Escape Route
Critical_Path_Indicator --> Iterative_Refinement : User selects "Alt Safe Point" (limited)
Iterative_Refinement --> Route_Displayed : Recalculate & Display
Route_Displayed --> Mission_Complete : User reaches destination
Mission_Complete --> [*]
Derivative Variations for Independent Claim 40: Travel Reservation Information System (TRIPS)
Claim 40: Core Elements (System): Digital computer with display and link to remote server, digital map display of geographic region, means for user to define travel route (origin, destination, waypoints on map), database (loc/objects, associated multimedia information), configured to calculate/display travel route, configured to identify loc/objects along route, configured to display multimedia information of loc/objects in customized travelog, means for comparing/purchasing reservations/tickets for services related to route/loc/objects, means for transmitting purchases to service providers, means for printing hard-copy map/ticket with machine-readable reservation information.
Derivative 4.1: Material & Component Substitution - Neuromorphic Computing with Direct Brain-Computer Interface
- Enabling Description: The "digital computer" is a neuromorphic computing system directly interfaced with the user's brain via a non-invasive BCI (Brain-Computer Interface). The "display" is a direct neural projection onto the visual cortex. The "link to a remote server" is a high-bandwidth, low-latency neural network connection to a distributed neuromorphic cloud. The "digital map display" is a cognitive map generated in the user's mind, allowing direct mental manipulation of geographic regions. "Means for user to define travel route" involves thought-based commands to mentally select origin, destination, and waypoints on the cognitive map. The "database" is a neuro-semantic network storing "loc/objects" and associated sensory (multimedia) information, directly accessible by the BCI. The system calculates and displays the travel route as a sequence of neural activations. Multimedia information of "loc/objects" is displayed as immersive sensory simulations within the customized neural travelog. "Means for comparing/purchasing reservations/tickets" involves mental authorization of smart contracts on a neuromorphic blockchain, facilitating seamless transaction and direct neural confirmation. "Means for transmitting purchases" is via secure neural encryption. "Means for printing" involves generating a persistent neural imprint of the map/ticket, or a holographic projection containing machine-readable neural signatures for verification.
sequenceDiagram
participant U as User (Brain)
participant BCI as Brain-Computer Interface
participant N as Neuromorphic Computer System
participant NC as Neuromorphic Cloud (Remote Server)
participant NB as Neuromorphic Blockchain
U->>BCI: Mental Command (Define Route)
BCI->>N: Route Definition
N->>NC: Access Neuro-Semantic Database (Loc/Objects, Multimedia)
NC-->>N: Data Stream
N->>N: Calculate & Display Neural Route (Cognitive Map)
N->>N: Generate Immersive Sensory Travelog
U->>BCI: Mental Authorization (Purchase)
BCI->>N: Purchase Request
N->>NB: Initiate Smart Contract (Reservation/Ticket)
NB-->>N: Transaction Confirmation
N->>N: Generate Neural Imprint / Holographic Projection (Map/Ticket)
Derivative 4.2: Operational Parameter Expansion - Gravitational Wave Navigation for Cosmic Exploration
- Enabling Description: This derivative focuses on navigation and planning for spacecraft traveling through spacetime distortions. The "digital computer" is a relativistic navigation array on a spacecraft. The "display" is a spatiotemporal manifold visualization system. The "link to a remote server" is a long-baseline interferometric array for gravitational wave communication. The "digital map display" renders a 4D representation of spacetime, showing gravitational potential wells, wormholes ("loc/objects"), and time dilation fields. "Means for user to define travel route" involves specifying spacetime coordinates for origin, destination, and temporal waypoints. The "database" contains astrophysical data on celestial bodies, gravitational anomalies, and associated multimedia (e.g., simulations of relativistic effects, spectral data). The system calculates and displays optimal trajectories through spacetime, factoring in minimal energy consumption for warp drives or optimal slingshot maneuvers. Multimedia information (e.g., visualisations of black holes, accretion disks) is displayed within the customized spatiotemporal travelog. "Means for comparing/purchasing reservations/tickets" involves negotiating access to gravitational slingshot opportunities with celestial mechanics observatories, or reserving stable warp bubbles. "Means for transmitting purchases" uses encoded gravitational wave pulses. "Means for printing" generates a hard-copy spatiotemporal trajectory chart with machine-readable quantum dot encoding.
graph TD
A[Relativistic Navigation Array] -- Set Spacetime Coordinates --> B{Cosmic TRIPS Software}
B -- Spacetime Manifold Data, Gravitational Anomalies --> C[Astrophysical Database (Remote Server)]
C -- Real-time Gravitational Wave Data --> D[Long-Baseline Interferometric Array]
B -- Calculate Optimal Spacetime Trajectory --> B
B -- Negotiate Slingshot/Warp Bubble Access --> E[Celestial Mechanics Observatory]
E -- Confirmation (Gravitational Wave Pulse) --> B
B -- Generate Spatiotemporal Trajectory Chart --> F[Spacetime Manifold Visualization/Printer]
F -- Quantum Dot Encoding --> G[Spacecraft Autopilot]
B -- Relativistic Effect Simulations --> H[Customized Spatiotemporal Travelog]
Derivative 4.3: Cross-Domain Application - Smart City Autonomous Logistics & Event Coordination
- Enabling Description: This system manages autonomous vehicle logistics and real-time event coordination within a smart city infrastructure. The "digital computer" is the city's central traffic and event management AI. The "display" is a large-scale augmented reality projection of the city grid. The "link to a remote server" connects to various urban data streams (traffic cameras, public transit sensors, weather stations). The "digital map display" shows a real-time 3D model of the city, highlighting traffic flow, available parking, and public event zones. "Means for user to define travel route" allows city planners or event organizers to specify origins, destinations, and waypoints for autonomous delivery drones, public transit vehicles, or citizen guidance. The "database" contains geo-located urban assets ("loc/objects"), public event venues ("POIs"), and scheduled city-wide events ("EOIs"), along with multimedia (e.g., live camera feeds, 3D renderings of event spaces). The system calculates and displays optimal dynamic routes, accounting for predicted traffic, pedestrian flow, and air-space restrictions for drones. Multimedia information (e.g., live views of traffic, 3D models of venues) is displayed in a customized city "digital twin" travelog. "Means for comparing/purchasing reservations/tickets" allows for booking slots for autonomous deliveries, reserving temporary street closures for events, or purchasing tickets for public transport/events. "Means for transmitting purchases" is via encrypted smart city network protocols. "Means for printing" generates dynamic QR codes for access control or permits for temporary zone usage, machine-readable by city infrastructure sensors.
classDiagram
class CityAI {
+Central Traffic/Event Management
+Augmented Reality Projection Display
+Smart City Network Link
+TRIPS_Software_Urban
}
class UrbanDatabase {
+LocObjects[]
+POIs[]
+EOIs[]
+MultimediaInfo[]
}
class AutonomousVehicles {
+DroneFleet
+PublicTransit
}
class SmartCitySensors {
+TrafficCameras
+WeatherStations
+PedestrianCounters
}
class TransactionSubsystem_Urban {
+BookingDeliverySlots
+StreetClosurePermits
+PublicEventTickets
}
CityAI "1" -- "1" UrbanDatabase : accesses
CityAI "1" -- "*" AutonomousVehicles : coordinates
CityAI "1" -- "*" SmartCitySensors : gathers data from
CityAI "1" -- "1" TransactionSubsystem_Urban : manages
CityAI "1" -- "1" SmartCitySensors : prints/transmits to
Derivative 4.4: Integration with Emerging Tech - Haptic Feedback & Biometric Authentication for Personalized Travel
- Enabling Description: This derivative integrates advanced haptic feedback, biometric authentication, and decentralized identity for a highly personalized and secure travel experience. The "digital computer" is a personal AI assistant, possibly running on a wearable device. The "display" is a multi-modal interface combining visual (e.g., smart glasses), auditory, and haptic (e.g., embedded in clothing or implantable) feedback. The "link to a remote server" is a quantum-secure, peer-to-peer network. "Means for user to define travel route" involves intuitive gestures or biometric signals interpreted by the AI. The "database" stores "loc/objects" and multimedia information, with access controlled by a decentralized identity system using biometric proof-of-presence. The system calculates and displays the travel route using haptic cues for directional guidance (e.g., subtle vibrations on the left or right side of the body). Multimedia information of "loc/objects" is presented as sensory overlays in the customized travelog, potentially including simulated textures or ambient sounds. "Means for comparing/purchasing reservations/tickets" uses secure biometric authentication for smart contract execution, with funds drawn from a self-sovereign digital wallet. "Means for transmitting purchases" involves encrypted biometric tokens. "Means for printing" generates a physical ticket with embedded micro-holograms linked to the user's biometric profile and a QR code readable by a haptic scanner.
sequenceDiagram
participant U as User (Wearable/Biometric)
participant PAI as Personal AI Assistant
participant D_ID as Decentralized ID Network
participant S_W as Self-Sovereign Digital Wallet
participant TSP as Travel Service Provider
U->>PAI: Biometric/Gesture Input (Define Route)
PAI->>D_ID: Authenticate User Identity
D_ID-->>PAI: Verifiable Credentials
PAI->>PAI: Access Loc/Objects, Multimedia (Haptic/Sensory DB)
PAI->>PAI: Calculate Route, Generate Sensory Travelog (Haptic Cues)
PAI->>PAI: Display Reservation Options (Haptic/Visual)
U->>PAI: Biometric Authorization (Purchase)
PAI->>S_W: Request Funds/Smart Contract
S_W-->>PAI: Fund/Contract Confirmation
PAI->>TSP: Transmit Encrypted Biometric Token & Reservation
TSP-->>PAI: Reservation Confirmation
PAI->>U: Provide Haptic/Micro-holographic Ticket
Derivative 4.5: The "Inverse" or Failure Mode - "Dark Network" Anonymous Travel Planning
- Enabling Description: This system prioritizes user anonymity and untraceability, operating in a "dark network" or heavily obfuscated mode. The "digital computer" is a series of cascaded virtual machines and encrypted relays (e.g., Tor relays). The "display" is a text-based terminal or minimalist graphical interface designed to leave minimal forensic trace. The "link to a remote server" uses multiple layers of encryption and obfuscation, routing through a global network of anonymous proxies. The "digital map display" is generated client-side from heavily anonymized, aggregated geospatial data, scrubbing any identifying features. "Means for user to define travel route" involves entering coordinates or general region names, avoiding personally identifiable inputs. The "database" contains only generic, non-attributable "loc/objects" and generalized "multimedia information" (e.g., public domain images, text descriptions) that cannot be linked back to specific providers or users. The system calculates and displays anonymized travel routes, often with randomized detours to further obscure intent. Multimedia information is presented in a generic, non-customized "anti-travelog." "Means for comparing/purchasing reservations/tickets" uses anonymous cryptocurrencies (e.g., Monero, Zcash) and ephemeral virtual identities for transactions, with no transmission of personal data to service providers. "Means for transmitting purchases" is via one-time pads or self-destructing messages. "Means for printing" involves a "burner" printer that leaves no discernible marks or serial numbers, generating a simple, non-traceable paper ticket with a randomized, single-use alphanumeric code. All network activity logs are aggressively pruned or routed through unmonitorable channels.
flowchart TD
A[User (Obfuscated VM)] -- Anonymized Input --> B{TRIPS Software (Dark Network)}
B -- Encrypted/Obfuscated Query --> C[Anonymous Proxy Network]
C -- Generic Geospatial Data Request --> D[Anonymized Geospatial DB]
D-->C: Scrubbed Map Data
C -- Query General Loc/Objects --> E[Generic Multimedia Repository]
E-->C: Generic Info
B -- Calculate Randomized/Anonymized Route --> B
B -- Anonymous Crypto Payment --> F[Anonymous Cryptocurrency Network]
F -- Ephemeral Virtual ID --> G[Service Provider (Blind Transaction)]
G-->F: Confirmation
F-->B: Anonymized Confirmation
B -- Generate Burner Ticket (Randomized Code) --> H[Burner Printer]
B -- Self-Destruct Data --> B
Derivative Variations for Independent Claim 47: Travel Reservation Information System (TRIPS) with Enhanced Communication Capabilities
Claim 47: Core Elements (System with Enhanced Communication): Digital computer device, display, link to one or more travel service providers, TRIPS database (loc/objects, POIs, EOIs), TRIPS software (enabling user selection of travel route, POIs, EOIs; calculating/displaying route; previewing multimedia information; transaction subsystem (compare/purchase tickets/reservations)), communication links for online transfer of reservation data, ticketing data, spatially related data, and map reading software tools (between computers, between users), communication with external databases, central communications service bureau, and online mapping services (for updated info, routes, map modifications, priority messages), coupled to radio location receiver (e.g., loran, GPS) for generating signals corresponding to geographical coordinate location and direction of travel of TRIPS user, database manager configured for displaying user location, direction of travel, speed, and traveling route on TRIPS computer display.
Derivative 5.1: Material & Component Substitution - Quantum Communication & Opto-Neural Interfaces
- Enabling Description: The "digital computer device" is a quantum-optical processor, and the "display" is an opto-neural interface (e.g., retinal projection). The "link to one or more travel service providers" is a quantum entanglement network for instantaneous, secure communication. The "TRIPS database" is a distributed quantum memory storing "loc/objects," "POIs," and "EOIs" as entangled quantum states. The "TRIPS software" runs on the quantum processor, enabling user selection via eye-tracking and neural commands. Route calculation and multimedia preview (as direct neural sensory input) leverage quantum algorithms. The "transaction subsystem" uses quantum cryptography for comparing/purchasing reservations. "Communication links" employ quantum key distribution for secure transfer of entangled reservation data, ticketing data, and spatially related quantum map data between quantum computers and between users (via their opto-neural interfaces). Communication with "external databases" and "online mapping services" is facilitated by quantum internet gateways. The system is "coupled to a radio location receiver" that is a quantum inertial navigation system (QINS) or a quantum GPS receiver, generating signals for geographical coordinate location and vector velocity. The "database manager" uses quantum visualization algorithms to display user location, direction, speed, and anticipated route as a dynamic overlay on the retinal projection.
flowchart TD
A[User (Opto-Neural Interface)] -- Eye-tracking/Neural Commands --> B{Quantum-Optical Processor (TRIPS)}
B -- Quantum Entanglement Network --> C[Travel Service Provider (Quantum Node)]
B -- Access Distributed Quantum Memory --> D[TRIPS Database (Entangled States)]
B -- Quantum Query/Algorithms --> E[Quantum Internet Gateway]
E -- External Data --> F[External Databases/Online Mapping]
B -- Quantum Key Distribution --> G[Other Quantum Computers/Users]
B -- Quantum GPS/QINS Data --> H[Quantum Location Receiver]
H --> B: Location, Velocity Data
B -- Quantum Transaction --> C
Derivative 5.2: Operational Parameter Expansion - Multi-dimensional Environmental & Time-Distortion Navigation
- Enabling Description: This system is designed for travel through complex, multi-dimensional environmental anomalies or time-distortion fields, such as those found in theoretical physics or advanced science fiction scenarios. The "digital computer device" is a real-time spatiotemporal manifold analyzer. The "display" is a holographic projection system showing environmental parameters (e.g., temporal flux, energy fields, exotic matter concentrations) as additional dimensions. The "link to one or more travel service providers" is a direct-energy transmission link. The "TRIPS database" stores "loc/objects" as localized spacetime anomalies, "POIs" as temporal anchors or energy nexus points, and "EOIs" as predicted gravitational shifts or causality loop events. The "TRIPS software" enables users to select an origin, a destination in space-time, and temporal or dimensional waypoints. It calculates and displays optimal "safest path through distortion" routes, considering energy field interactions, temporal displacement risks, and causality preservation. "Communication links" transfer multi-dimensional sensor data, time-signature-encoded reservation data, and spatiotemporal map overlays between computational nodes and between users (who may be operating in different timeframes). "External databases" are theoretical physics simulation engines or historical event registries. The "radio location receiver" is a multi-dimensional spacetime position sensor (e.g., a chronolocator or gravitometric array), generating data on position, velocity, and temporal drift. The "database manager" displays user's multi-dimensional position, temporal orientation, velocity, and planned spatiotemporal route.
graph TD
A[Spatiotemporal Manifold Analyzer] -- Define Spacetime Route --> B{TRIPS Software (Multi-dimensional)}
B -- Spacetime Anomaly Data --> C[TRIPS Database (Multi-dimensional)]
C -- Real-time Environmental Flux --> D[Multi-dimensional Spacetime Sensor]
B -- Calculate Safest Path through Distortion --> B
B -- Energy Nexus/Temporal Anchor Reservation --> E[Theoretical Physics Simulation Engine]
E -- Confirmation (Direct Energy Link) --> B
B -- Transfer Multi-dimensional Sensor Data --> F[Other Computational Nodes/Users]
B -- Display Holographic Spatiotemporal Map --> G[Holographic Projection System]
G -- Location, Temporal Orientation, Route --> G
Derivative 5.3: Cross-Domain Application - Bio-Logging for Wildlife Migration & Conservation
- Enabling Description: This system is adapted for tracking, planning, and coordinating efforts related to wildlife migration and conservation. The "digital computer device" is a central conservation data hub, with a geospatial display. The "computer link" connects to a network of bio-loggers, satellite tags, and remote sensing platforms. The "TRIPS database" stores "loc/objects" as individual animals or animal groups, "POIs" as known breeding grounds, feeding sites, or water sources, and "EOIs" as predicted migration timings or seasonal events (e.g., salmon run, wildebeest calving). The "TRIPS software" enables conservationists or researchers to select an animal population (origin), a target conservation area (destination), and critical habitat patches (waypoints). It calculates and displays optimal monitoring routes for drones or field teams, considering animal movement patterns, predator locations, and environmental factors. The "transaction subsystem" manages allocation of field resources (e.g., anti-poaching patrols, veterinary interventions), permitting access to restricted conservation zones, and coordinating with research teams, comparing and purchasing necessary supplies or services. "Communication links" transfer real-time animal tracking data, sensor data (e.g., temperature, humidity), and field reports between researchers and conservation units. Communication with "external databases" includes genomic repositories or climate models. The system is "coupled to a radio location receiver" in the form of satellite collars or embedded bio-sensors on animals, generating signals for their geographical coordinate location, direction of travel, and speed. The "database manager" displays individual animal or herd locations, migration routes, and predicted movements on the geospatial display, along with multimedia (e.g., drone footage, species factsheets).
sequenceDiagram
participant C as Conservationist
participant CH as Conservation Hub (TRIPS)
participant B as Bio-Loggers/Sat Tags
participant RS as Remote Sensing Platforms
participant ED as External Databases (Genomic/Climate)
participant F as Field Teams/Drones
C->CH: Define Population, Target Area, Habitat Waypoints
CH->B: Request Real-time Animal Tracking Data
CH->RS: Request Environmental Sensor Data
B-->CH: Location, Direction, Speed
RS-->CH: Temperature, Humidity
CH->CH: Calculate Optimal Monitoring Routes (TRIPS Software)
CH->ED: Access Species/Genomic Data
ED-->CH: Multimedia Info (Species Factsheets)
CH->CH: Display Migration Route, Predicted Movements
C->CH: Request Resource Allocation (e.g., anti-poaching)
CH->F: Allocate Field Teams/Drones (Transaction Subsystem)
F-->CH: Field Reports, Confirm Intervention
CH->CH: Multimedia Travelog (Drone Footage)
Derivative 5.4: Integration with Emerging Tech - Verifiable Machine-to-Machine Communication & Zero-Knowledge Proofs
- Enabling Description: This derivative focuses on highly automated, verifiable machine-to-machine (M2M) communication using zero-knowledge proofs (ZKPs) for privacy and blockchain for verifiability. The "digital computer device" is a distributed network of autonomous agents (e.g., smart vehicles, delivery robots, drones). The "display" can be a virtual dashboard accessible to authorized entities or a local holographic interface on the agent. The "link to one or more travel service providers" is a secure M2M communication channel over a dedicated 5G/6G network with embedded trust anchors. The "TRIPS database" is a decentralized ledger for "loc/objects," "POIs," and "EOIs," where each entry is cryptographically signed. The "TRIPS software" on each agent enables it to autonomously select routes and POIs/EOIs based on mission parameters. Route calculation and multimedia preview (e.g., sensor data streams, environmental scans) are performed by the agent's onboard AI. The "transaction subsystem" facilitates autonomous negotiation and purchase of services (e.g., charging station access, road tolls, delivery contracts) using smart contracts and ZKPs to prove solvency without revealing financial details. "Communication links" enable agents to exchange reservation data, ticketing data (as verifiable credentials), and spatially related data (e.g., localized traffic conditions) using ZKPs to prove origin/authenticity without revealing sensitive context. Communication with "external databases" and "online mapping services" uses verifiable computation, allowing agents to query information and receive proofs of correctness. "Coupled to a radio location receiver" that is a secure, authenticated GNSS receiver, generating verifiable proofs of location and velocity. The "database manager" (a supervisory AI) displays aggregated agent locations, routes, and mission progress, with ZKPs verifying compliance with operational parameters.
flowchart TD
A[Autonomous Agent (Smart Vehicle/Robot)] -- M2M Communication (5G/6G) --> B{TRIPS Software (Onboard AI)}
B -- Query Decentralized Ledger --> C[TRIPS Database (Blockchain/Signed Entries)]
B -- ZKP for Location/Velocity --> D[Authenticated GNSS Receiver]
D-->B: Verifiable Location Data
B -- ZKP for Solvency, Smart Contract --> E[Decentralized Service Provider Network]
E-->B: Service Confirmation (Verifiable Credential)
B -- Exchange Mission Data (ZKPs) --> F[Other Autonomous Agents]
B -- Verifiable Computation Query --> G[External Databases/Online Mapping]
G-->B: Verified Information
H[Supervisory AI (Virtual Dashboard)] <-- Aggregated Data (ZKPs) --> B
H -- Display Verified Mission Progress --> H
Derivative 5.5: The "Inverse" or Failure Mode - "Jammer-Resistant" Covert Insertion/Extraction Planning
- Enabling Description: This system is designed for covert operations, prioritizing resilience against electronic warfare (jamming, spoofing) and detection, rather than broad communication. The "digital computer device" is a hardened, Faraday-caged, redundant processing unit. The "display" is a low-emission, non-backlit optical display. The "link to one or more travel service providers" is severely restricted to burst transmissions, directional laser links, or quantum communication (if practical), with minimal broadcast footprint. The "TRIPS database" is entirely local and encrypted, containing only essential, pre-mission "loc/objects," "POIs" (e.g., exfiltration points, dead drops), and "EOIs" (e.g., rendezvous times, operational windows) for a specific mission. The "TRIPS software" focuses on calculating "lowest signature" routes, minimizing exposure to surveillance, and factoring in environmental cover (e.g., terrain, weather, electromagnetic interference). The "transaction subsystem" is minimal or non-existent, relying on pre-arranged, off-chain agreements. "Communication links" are intermittent, heavily encrypted, and utilize spread-spectrum frequency hopping or quantum key distribution, primarily for mission-critical updates or emergency exfil requests, with no general "map reading software tools" transfer. Communication with "external databases" is via highly secure, one-way data diodes during pre-mission planning. The system is "coupled to a radio location receiver" that is a highly resilient, jammer-resistant inertial navigation system (INS) or a "ghost GPS" receiver using encrypted, unpredictable frequency patterns, designed to resist spoofing. The "database manager" provides a stealth-optimized display of current position and planned route, with dynamic threat overlays based on pre-mission intelligence, minimizing active emissions from the system itself.
stateDiagram
[*] --> Initial_Planning_Mode
Initial_Planning_Mode --> Local_DB_Load : Pre-mission Data (Encrypted)
Local_DB_Load --> Route_Calculation : Lowest Signature Route (TRIPS Software)
Route_Calculation --> Display_Hardened : Low-Emission Optical Display
Display_Hardened --> User_Input_Review : User Refinement (Offline)
User_Input_Review --> Deploy_System : Mission Start
Deploy_System --> Location_Tracking : Jammer-Resistant INS/Ghost GPS
Location_Tracking --> Burst_Comm_Update : Intermittent Burst Transmission (Critical)
Burst_Comm_Update --> Display_Hardened : Update Threat Overlays
Display_Hardened --> Mission_Complete
Mission_Complete --> [*]
Derivative Variations for Independent Claim 53: System for Providing Travel Reservation Information with Portable Device Integration
Claim 53: Core Elements (System with Portable Device Integration): Digital computer device, display, computer link, electronic maps, TRIPS database (loc/objects, multimedia information), TRIPS software (calculates/displays user-defined travel route; identifies loc/objects along route; displays multimedia information in customized travelog preview; transaction subsystem (compare/purchase tickets/reservations)), electronically transferring travel route, loc/object data, and reservation information to a portable digital device (PDA, GPS receiver) for use during travel.
Derivative 6.1: Material & Component Substitution - Biodegradable Electronics & Transient Data Storage
- Enabling Description: This derivative uses biodegradable electronic components and transient data storage for environmental sustainability and data ephemerality. The "digital computer device" is a desktop unit with circuits printed on bio-polymers and using organic transistors. The "display" is a bio-luminescent screen. The "computer link" is a short-range, optical fiber connection made of soluble materials. The "electronic maps" and "TRIPS database" are stored on transient memory devices (e.g., DNA-based storage with programmed degradation or self-erasing memory circuits). The "TRIPS software" calculates and displays routes, and performs transactions. Electronically transferring travel route, "loc/object" data, and reservation information to a "portable digital device" (e.g., a biodegradable smart-paper display or a dissolvable e-tattoo) is achieved via inductive coupling or optical data transfer. The data on the portable device is designed to degrade or become unreadable after a set time or a single use, minimizing electronic waste and ensuring data privacy through physical decay.
flowchart TD
A[Desktop Unit (Biodegradable PC)] -- Optical Fiber Link --> B{TRIPS Software}
B -- Access Transient Memory --> C[TRIPS Database (DNA/Self-erasing)]
C -- Bio-luminescent Display --> A
B -- Calculate Route, Transaction --> B
B -- Inductive/Optical Transfer --> D[Portable Device (Smart-paper/E-tattoo)]
D -- Data Degradation --> E[Environmentally Neutral Byproducts]
Derivative 6.2: Operational Parameter Expansion - Micro-Scale Intrabody Navigation & Drug Delivery
- Enabling Description: This system plans navigation and delivery for micro-robots or nanoparticles within a living biological body. The "digital computer device" is a medical imaging and control workstation. The "display" is a real-time, high-resolution 3D holographic projection of the patient's internal anatomy. The "computer link" is a focused ultrasound or electromagnetic resonance link to intrabody devices. The "electronic maps" are dynamic 3D anatomical models derived from MRI/CT scans, augmented with real-time cellular activity data. The "TRIPS database" contains "loc/objects" as specific cells or tissues, "multimedia information" as cellular biomarkers or genetic sequences. The "TRIPS software" calculates and displays optimal "micro-routes" for drug-carrying nanoparticles or surgical micro-robots, considering blood flow, tissue density, and cellular targeting. The "transaction subsystem" manages the controlled release of drug payloads or activation of micro-surgical tools, effectively "reserving" biological interactions. Transferring the "travel route," "loc/object" data, and "reservation information" (e.g., drug dosage, release timing) to a "portable digital device" (an implanted micro-controller or a genetically programmed nanobot swarm) is achieved via acoustic telemetry or bio-magnetic induction for autonomous intrabody operation.
graph TD
A[Medical Workstation (3D Holographic Display)] -- Define Target Cells/Tissues --> B{TRIPS Software (Intrabody Navigation)}
B -- Dynamic 3D Anatomical Models --> C[TRIPS Database (Medical Imaging/Cellular Data)]
C -- Real-time Cellular Activity --> D[Intrabody Sensors]
B -- Calculate Optimal Micro-Route --> B
B -- Drug Payload Release/Tool Activation --> E[Transaction Subsystem (Intrabody)]
E -- Confirmation --> B
B -- Acoustic/Bio-magnetic Transfer --> F[Implanted Micro-controller/Nanobot Swarm]
F -- Autonomous Intrabody Operation --> G[Patient's Body]
Derivative 6.3: Cross-Domain Application - Deep-Sea Exploration & AUV Mission Planning
- Enabling Description: This system plans missions for Autonomous Underwater Vehicles (AUVs) in deep-sea environments. The "digital computer device" is a marine operations control center. The "display" shows 3D bathymetric maps. The "computer link" uses acoustic modems or tethered fiber optics to AUVs. The "electronic maps" are detailed seafloor topography, hydrothermal vent fields, and marine ecosystem distributions. The "TRIPS database" stores "loc/objects" as geological features (e.g., seamounts, trenches), "multimedia information" as sonar scans, video footage of marine life, or geological sensor readings. The "TRIPS software" calculates and displays optimal exploration routes for AUVs, considering currents, battery life, sensor range, and obstacle avoidance. The "transaction subsystem" manages allocation of AUV resources (e.g., camera usage, manipulator arm deployment, scientific sample collection), reserving specific data collection points or time windows for critical observations. Transferring the "travel route," "loc/object" data, and "reservation information" to a "portable digital device" (the AUV's onboard mission computer or an ROV control tablet) is achieved via high-bandwidth acoustic burst transmissions or secure tethered links for autonomous mission execution.
sequenceDiagram
participant O as Oceanographer
participant MC as Marine Control Center (TRIPS)
participant B as Bathymetric/Seafloor DB
participant S as Sonar/Video/Sensor Data
participant AUV as Autonomous Underwater Vehicle
O->MC: Define Exploration Area, Objectives
MC->B: Access Seafloor Topography, Ecosystem Data
B-->MC: Electronic Maps, Loc/Objects, Multimedia
MC->MC: Calculate Optimal AUV Exploration Route (TRIPS Software)
MC->MC: Display Multimedia Preview (Sonar/Video)
O->MC: Request Resource Allocation (e.g., Sample Collection)
MC->AUV: Transmit Mission Plan (Route, Loc/Objects, Reservation Info)
AUV->AUV: Execute Autonomous Mission
AUV->MC: Transmit Real-time Sensor Data/Video (during travel)
Derivative 6.4: Integration with Emerging Tech - Dynamic Digital Twin Synchronization & Predictive Maintenance Scheduling
- Enabling Description: This system manages the movement of components or maintenance crews within a complex industrial facility, synchronized with a real-time digital twin. The "digital computer device" is the facility's master control system, with a dynamic 3D digital twin display. The "computer link" is a high-speed industrial IoT network. The "electronic maps" are live 3D models of the factory floor, showing machinery, pipelines, and moving parts. The "TRIPS database" stores "loc/objects" as critical machinery, "multimedia information" as real-time sensor readings (temperature, vibration), and maintenance logs. The "TRIPS software" calculates and displays optimal paths for automated guided vehicles (AGVs) carrying parts, or for human maintenance technicians, based on predictive maintenance analytics. The "transaction subsystem" automatically schedules maintenance tasks, reserves specific AGV routes to avoid conflicts, and orders replacement parts just-in-time, comparing efficiency and cost. Transferring the "travel route," "loc/object" data, and "reservation information" (e.g., AGV route schedule, technician task list) to a "portable digital device" (an AGV's control unit or a technician's AR headset) is achieved via secure industrial wireless protocols, enabling real-time guidance and augmented reality overlays for task execution, dynamically updating the digital twin.
classDiagram
class FacilityMasterControl {
+3D Digital Twin Display
+Industrial IoT Network Link
+TRIPS_Software_Industrial
}
class DigitalTwinDB {
+LocObjects[]
+MultimediaInfo[] (Sensor Readings, Logs)
}
class AGV {
+ControlUnit
+NavigationSensors
}
class ARHeadset {
+TechnicianInterface
+AROverlays
}
class TransactionSubsystem_Maintenance {
+MaintenanceScheduling
+AGVRouteReservation
+JITPartOrdering
}
FacilityMasterControl "1" -- "1" DigitalTwinDB : accesses
FacilityMasterControl "1" -- "*" AGV : coordinates
FacilityMasterControl "1" -- "*" ARHeadset : guides
FacilityMasterControl "1" -- "1" TransactionSubsystem_Maintenance : manages
FacilityMasterControl "1" -- "1" AGV : transfers data to
FacilityMasterControl "1" -- "1" ARHeadset : transfers data to
Derivative 6.5: The "Inverse" or Failure Mode - "Safe Harbor" Data Evacuation & Migration Planning
- Enabling Description: This system is designed for secure and rapid data evacuation and migration during a cyber-attack or data breach event. The "digital computer device" is an incident response workstation, with a network topology display. The "computer link" is an isolated, dark fiber network or a one-way data diode gateway. The "electronic maps" are logical network diagrams, showing data repositories, security zones, and potential exfiltration vectors. The "TRIPS database" stores "loc/objects" as critical data assets, "multimedia information" as data criticality ratings or vulnerability assessments. The "TRIPS software" calculates and displays optimal "safe harbor" data migration routes, prioritizing data integrity, speed, and minimal exposure to compromised network segments. The "transaction subsystem" involves "reserving" secure storage allocations, negotiating bandwidth on isolated networks, and confirming cryptographic keys for data encryption. Transferring the "travel route" (data migration path), "loc/object" data (data parcels), and "reservation information" (encryption keys, target storage addresses) to a "portable digital device" (e.g., an encrypted hardware security module (HSM) or a secure USB drive for offline transfer) is achieved via direct physical connection or a one-way data transfer mechanism, ensuring the data moves to an air-gapped secure location without traversing compromised networks. The system emphasizes minimal interaction and automated, pre-defined procedures during an active incident.
stateDiagram
[*] --> Incident_Response_Mode
Incident_Response_Mode --> Network_Topology_Display : Isolated Workstation
Network_Topology_Display --> Threat_Assessment : User Input (Incident Details)
Threat_Assessment --> Calculate_Migration_Path : TRIPS Software (Data Evacuation)
Calculate_Migration_Path --> Secure_Storage_Reservation : Transaction Subsystem (Crypto Keys, Allocations)
Secure_Storage_Reservation --> Data_Transfer_to_HSM : Direct Physical Connection
Data_Transfer_to_HSM --> Air_Gapped_Secure_Location : Portable HSM/USB Drive
Air_Gapped_Secure_Location --> Incident_Resolved : Data Secured
Incident_Resolved --> [*]
Combination Prior Art Scenarios with Open-Source Standards
Here are three combination prior art scenarios where US Patent 5948040 is integrated with existing open-source standards, demonstrating how such combinations would make further incremental improvements obvious.
Combination Prior Art Scenario 1: TRIPS with OpenStreetMap (OSM) and GTFS Integration
- Enabling Description: A Travel Reservation and Information Planning System (TRIPS), as generally described in US5948040, is constructed where the core "electronic maps" (Claim 1, 26, 40, 53) are dynamically sourced and rendered from OpenStreetMap (OSM) data. The TRIPS database (Claim 1, 26, 40, 47, 53) is augmented to ingest and process public transportation schedules and geographic information conforming to the General Transit Feed Specification (GTFS). The "TRIPS software" (Claim 1, 26, 47, 53) leverages OSM's detailed road network data for calculating optimal vehicular routes (shortest, quickest, scenic) and simultaneously utilizes GTFS data to enable comprehensive multi-modal journey planning that seamlessly integrates public transport options (e.g., bus, train, subway, ferry). This allows for calculating routes considering transfers, wait times, and real-time disruptions reported via GTFS-Realtime extensions. The multimedia travelog preview incorporates rich information from OSM tags (e.g., Wikipedia links or amenity details for Points of Interest (POIs)) and descriptive content from GTFS route and stop descriptions. The transaction subsystem (Claim 1, 26, 40, 47, 53) is configured to offer pricing and facilitate the purchase of tickets for public transit services based on available GTFS fare information, alongside traditional travel reservations. Data transfer to portable digital devices (Claim 53) includes offline OSM map tiles and relevant GTFS schedule data for navigation and information access during travel without constant connectivity.
Combination Prior Art Scenario 2: TRIPS with OAuth 2.0 and OpenAPI for Secure Provider Integration
- Enabling Description: A Travel Reservation and Information Planning System (TRIPS), as generally described in US5948040, securely integrates with "travel service providers" (Claim 1, 25, 26, 47, 53) and external systems using OAuth 2.0 for user authorization and OpenAPI Specification (formerly Swagger) for API standardization. When a user interacts with the "transaction subsystem" (Claim 1, 26, 40, 47, 53) to compare and purchase tickets/reservations, the TRIPS software initiates an OAuth 2.0 authorization flow. This process enables the user to securely grant TRIPS delegated access to their booking profiles or payment methods held by various service providers (e.g., airlines, hotels, car rental agencies) without exposing their sensitive credentials directly to the TRIPS platform. Concurrently, the programmatic integration with these diverse "travel service providers" and "external databases" (Claim 47) is achieved by requiring their APIs to conform to the OpenAPI Specification. This allows the TRIPS system to dynamically discover, interpret, and programmatically interact with a provider's booking, pricing, and availability endpoints, significantly simplifying the implementation of the "shopping" and "comparison" functions of the transaction subsystem and ensuring robust, well-documented interfaces for data exchange.
Combination Prior Art Scenario 3: TRIPS with JSON and MQTT for Real-time IoT Integration
- Enabling Description: A Travel Reservation and Information Planning System (TRIPS), as generally described in US5948040, enhances its "communication links" (Claim 47) and augments its "TRIPS database" (Claim 47) by leveraging real-time data from IoT sensors using MQTT (Message Queuing Telemetry Transport) for efficient messaging and JSON (JavaScript Object Notation) for structured data formatting. "Spatially related data" (Claim 47) and "updated information" (Claim 47), such as real-time traffic conditions, dynamic parking availability at Points of Interest (POIs), current queue lengths at Events of Interest (EOIs), or environmental factors like localized air quality, are collected by a network of IoT sensors and published as JSON payloads over specific MQTT topics. The TRIPS system acts as a persistent MQTT subscriber, continuously ingesting this real-time data. This real-time data ingestion allows the "TRIPS software" (Claim 47) to calculate and display travel routes that dynamically adapt to current conditions (e.g., re-routing based on a sudden traffic congestion event reported by road sensors) and to provide highly current multimedia information within the travelog (e.g., live video feeds of POIs, real-time waiting times at EOIs). Furthermore, the efficient transfer of "spatially related data" between TRIPS computers (Claim 47) and to "portable digital devices" (Claim 53) can also utilize MQTT for low-bandwidth, event-driven updates, ensuring travelers receive the most current information while en route.
Generated 5/16/2026, 12:48:31 AM