7153results about "Reservations" patented technology

An example operation may include one or more of ingesting data from one or more websites via one or more application programming interfaces (APIs) and storing the data within a data store of a host platform, displaying one or more prompts on a user interface of a user profile page within a software application hosted by the host platform, receiving one or more responses to the one or more prompts, generating a travel itinerary based on execution of an artificial intelligence (AI) model on the data from the one or more websites, the one or more prompts, and the one or more responses, and displaying the travel itinerary via the user interface of the user profile page of the software application.

Described is a system for a decentralized protocol for token-based resource allocation by receiving a real estate possession record for a real estate from a real estate possessor, identifying a value of the real estate, transmitting generated digital tokens to a digital token storage associated with the real estate possessor, and recording a lien on the real estate possession record. The system initiates a first digital token relocation for a real estate recipient, and periodically, during a real estate utilization period for a real estate user: receives an indication of a second digital token relocation from the real estate user, transmits the first portion of the second digital token relocation to the possessor, transmits a second portion to the real estate recipient, and records a record of the first and second portions being transmitted onto the distributed ledger of the blockchain.

A system and method that manages charging of Electric Vehicles (EVs) at a depot equipped with EV chargers. For each EV arriving at the depot, data is collected from the EV including a current state of charge (SoC), an SoC goal, a route estimate, and a charging schedule. A depot controller determines from the collected data a charging priority for the EV relative to other EVs at the depot. When charging is required to meet the SoC goal of the EV, a charger is selected for charging the EV and a charging start time and charging duration is determined by an optimization algorithm that concurrently optimizes a minimal total cost of electricity for total power transferred to the EV during charging while maximizing a probability of the EV leaving the depot with its SoC goal satisfied.

The invention provides an automatic order dispatching method and system for a hotel, and the method comprises the steps: carrying out the analysis of hotel order contents according to task attributes in hotel orders, extracting key information, including task types, priorities and complexity, constructing task attribute feature vectors, carrying out the clustering of the task attribute feature vectors, and carrying out the clustering of the task attribute feature vectors; dividing the tasks with high similarity into the same category to obtain task sets of different categories; in the hotel order distribution process, the task execution state is monitored in real time, whether the task execution state is abnormal or overtime or not is judged, and if yes, task redistribution is carried out to other available processing personnel in combination with the hotel order task type and the customer service working time; after the hotel order is completed, the task execution data is counted, the average execution time and the completion quality index of each task are calculated, a task execution report is formed, and the hotel order processing flow and the task distribution strategy are continuously improved.

A device to securely access a digital asset with an asset blockchain address on a blockchain, including a processor in the mobile body and associated with a processor blockchain address, and a sensor coupled to the body to authenticate a user, wherein selected user events are placed on the blockchain, wherein the processor sends an access request to the digital asset upon authentication based on the blockchain address and events on the blockchain, wherein the digital asset contractual details, access right, and ownership rights are stored on a decentralized ledger, and wherein the processor uses the ledger to record or manage property right for the digital asset.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

Systems and methods for selecting a charging entity based on occupancy status are provided. In one embodiment, a method includes determining a current geo-location and state of charge of a requesting vehicle and a plurality of charging entities that are within a remaining distance of the requesting vehicle. Occupancy statuses for one or more charging entities of the plurality of charging entities are determined based on a number charging vehicles and a charging parameter. The method includes estimating charging speeds for the one or more charging entities based on the occupancy statuses. A charging station map user interface that pin points the current geo-location of the requesting vehicle and the one or more charging entities is presented. The one or more charging entities are presented with labels. The method further includes reserving a charging station of a selected charging entity of the plurality of charging entities by selecting a label.

An Automated AI-Driven Lifestyle Orchestration System proactively manages a user's daily life by intelligently populating calendars with relevant, time-sensitive marketing objects. This is achieved through sophisticated AI-driven analysis of user directives, preferences, and real-time location data obtained via computing devices like smartphones. The system leverages advanced media identification modules employing fingerprinting and watermarking to accurately match user-captured media (via a Percipient Sample Pack (PSP)) to specific content and associated products. It facilitates dynamic commerce through hierarchical linked lists for purchasing authentic or similar items, supported by an affiliate program. This inventive solution significantly improves personal organization and digital commerce by transforming passive interaction into a proactive, intelligent, and monetizable user experience.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

The present invention provides an IoT-based intelligent parking management system, including: a parking lot management system, an autonomous vehicle, and a handheld mobile terminal that are communicationally connected to each other; the parking lot management system includes a parking lot hardware perception layer and a parking lot server, where the parking lot hardware perception layer includes a terminal node and an information transmission module deployed in a parking lot; the autonomous vehicle includes an autonomous driving controller and an information transmission module, where the autonomous driving controller receives communication data from the parking lot server or the handheld mobile terminal through the information transmission module and generates control signals that control actions of a vehicle drive system; and the handheld mobile terminal is provided with a human-machine interaction interface.

The invention discloses an intelligent government affair service platform and a data processing method applied by the intelligent government affair service platform, and relates to the technical field of government affair service management, and the method comprises a public configuration module which is used for carrying out hierarchical configuration on system service capability according to a configuration instruction, and the hierarchical configuration comprises capability application management configuration, public template configuration and service model configuration; the service model configuration comprises a service overall planning model and a service implementation model; the reservation rule engine module comprises multi-level reservation rules of a hall reservation rule, a special area reservation rule and an item reservation rule, rule parameters can be dynamically adjusted, and the multi-level reservation rules comprise a reservation time period, a government affair service number allocation strategy and a conflict detection mechanism; the business handling module is used for realizing automatic material verification and document generation in a certificate-free business scene; and carrying out data interaction with an external system through the capability application management module, and carrying out system service capability authorization. The service efficiency of government affair services is improved, and the government affair handling experience of the masses is improved.

An AI-powered personalized travel recommendation system for tourists, consisting of: a user interface configured to receive user input regarding travel preferences, interests, budget constraints, and desired length of stay; a data processing unit comprising one or more machine learning algorithms configured to analyze user data, including but not limited to past travel behavior, demographic information, and real-time location data, to generate personalized travel recommendations; a recommendation engine that is operationally connected to the data processing unit and configured to synthesize and aggregate various data sources, including social media activity, online reviews, weather forecasts and local events, to compile a list of tailored destinations, activities, accommodations and dining options; an adaptive feedback loop that changes recommendations based on user interactions and feedback, with the feedback being used to improve the machine learning algorithms over time; a travel itinerary generator that uses the results of the recommendation engine to create an optimized itinerary, making it easier to discover popular tourist attractions, hidden gems, and off-the-beaten-path experiences; and a sharing module that allows users to share their personalized itineraries and ratings with other users of the system, thus promoting a community-oriented approach to travel planning.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A method of creating a SMARTPASS with computed estimated value including, a SmartHub computer processor system and data network, method including: receiving electronic requests to validate / authorize members and a purchase reporting request from a buyer and a financing request from a supplier engaged in a trade transaction over the network; determining if the electronic requests from the buyer and supplier are authorized, if so, creating the SMARTPASS with computed estimated value on the purchase reporting request; saving / minting the SMARTPASS as a non-fungible token, assigning an initial NFT value; computing the estimated value, tariff, taxes, or other fees; updating a database of the SMARTPASS, NFT, and initial NFT value with updated value; determining if financing requested, and if so: posting an NFT proxy to a second blockchain public NFT repository, notifying parties of financing options, and notifying FinTech, DeFi or decentralized Lenders; or if not notifying FinTech, DeFi or decentralized Lenders.

The invention provides a reservation and resource scheduling system based on cognitive intelligence and a self-evolution rule engine, and the system comprises a rule cognition and self-evolution engine, an enhanced visual configuration, deduction and auditing engine, and a dynamic loading, real-time decision and predictive optimization module. A rule cognition and self-evolution engine of the multi-target intelligent conflict resolution and collaborative scheduling module is used for constructing a knowledge graph and generating a reservation rule in a current state by adopting a deep learning algorithm; the enhanced visual configuration, deduction and auditing engine is used for providing a rule editing function for a user; the rule demand edited by the user is transmitted to the rule cognition and self-evolution engine for detection; the dynamic loading, real-time decision-making and predictive optimization module is used for enabling the changed rule to take effect immediately; and the multi-target intelligent conflict resolution and cooperative scheduling module is used for processing the conflict problem of the reservation requests or the conflict problem between the reservation requests and available resources.

A diversified system shared rental device and method relates to a service and associated system that can turn any vehicle (such as a self-use vehicle) into a rentable vehicle. By means of a “vehicle rentable and networkable module”, all vehicles required to be rented and networked are installed, and the vehicles with rentable capability processed by the vehicle rentable and networkable module are connected to the diversified system shared rental device. Through the control of the diversified system shared rental device, a rental service of the rentable vehicles is provided. A rental platform is provided for completing a renal match operation, so that a general self-use vehicle can be rented and shared at any time in the free time to minimize the idle cost of all the vehicles and create a profit-making model to promote the benefits of the part-time economy.

The invention discloses an intelligent hospital guide and tracking return visit recording integrated system for medical examination, which relates to the technical field of intelligent medical treatment, and comprises the following steps: based on a comprehensive data set, using an A-star algorithm to identify a hospital guide path; in the process that the patient waits for the hospital according to the hospital guide path, the system collects behavior data of the patient in real time; based on historical data, training a waiting time difference prediction model, inputting the patient behavior data into the waiting time difference prediction model, and predicting a waiting time deviation value; dynamically adjusting a hospital guide path according to the waiting time deviation value; and after the patient finishes visiting according to the adjusted hospital guide path, the system automatically provides health propaganda and education contents, collects patient feedback data and stores the patient feedback data in the tracking return visit system. Through the A-star algorithm and the waiting time prediction model, the system can perceive waiting delay in advance and adjust a path in time, the waiting time of a patient is remarkably shortened, and the doctor-seeing experience is improved.

A computer implemented method for event management and participation, comprises providing a timeslot rules table, the timeslot rules table being an immutable table of a first plurality of timeslots, the timeslot rules table defining a plurality of scheduling rules. The method further comprises providing a timeslot additions table, the timeslot additions table including a second plurality of timeslots being different from the first plurality of timeslots. The method further comprises providing a calendar recurring rule table, the calendar recurring rule table including recurring pattern rules for one or more of the timeslot rules table and the timeslot additions table. The method further comprises providing an exceptions table, the exceptions table including one or more exceptions to the scheduling rules. The method further comprises providing efficient data storage that can span tens of thousands of “tenants” or customers all having complex multi-day timeslot data in the same computer system.

An apparatus configured to collect and predict charging data for an electric vehicle (EV) from a mobile device associated with a user or the EV or an infotainment unit of the EV.

The invention relates to the technical field of cloud manufacturing, in particular to a real-time order receiving and scheduling method and system for a flexible job shop. Comprising the following steps: extracting related data from a production site, and constructing a flexible job shop environment model according to the related data; an agent decision model is constructed, a corresponding DQN algorithm model is constructed, and the DQN algorithm model comprises an order acceptance DQN and a scheduling DQN; on the basis of interaction with the intelligent agent, training an order acceptance DQN algorithm model and a scheduling DQN algorithm model, the training of the order acceptance DQN being completed on the basis of the scheduling DQN having a good effect; and deploying the trained order acceptance DQN and the scheduling DQN to make a decision. According to the method, comprehensive fine consideration of the external production capacity and the expected available production capacity of the actual production workshop is added, a high-customization order-oriented order acceptance decision and production logistics collaborative scheduling real-time comprehensive scheduling model is established, the deviation of real-time acceptance decision is reduced, and more efficient and scientific management and control of the production process are realized.

The invention discloses a system and a method based on laboratory process intelligent management, and relates to the technical field of intelligent management. The system comprises an experiment task classification and sorting module, a historical data analysis and task duration prediction module, an overlapping time period analysis and intelligent scheduling module and a real-time monitoring and task progress adjustment module. The experiment task classification and sorting module is responsible for acquiring an initial experiment task list and carrying out task classification and sorting; the historical data analysis and task duration prediction module predicts the total duration of the experiment task by using historical data and provides accurate task duration prediction; time overlapping between the overlapping time period analysis and intelligent scheduling module processing tasks is carried out, and the task execution sequence and the equipment use time are intelligently adjusted; and the real-time monitoring and task progress adjusting module tracks the task execution condition in real time, analyzes the actual and predicted deviation and carries out necessary progress adjustment.

A computerized method for integrating a conversational agent with a payment application programming interface (API) is provided. A large language model (LLM) custom agent receives a request to book a travel itinerary. The user is prompted, in a user interface of the conversational agent, to authorize one-time permission to access a digital wallet associated with the user. Upon receiving the one-time permission to access the digital wallet, the travel itinerary comprising the plurality of bookings is provided to the user. If a confirmation to book the travel itinerary is received, the LLM custom agent books, using the payment API and the digital wallet associated with the user, the provided travel itinerary comprising the plurality of bookings. A confirmation of booking the provided travel itinerary is provided in the user interface of the conversational agent.

A method performed by a docking station operable in a plurality of modes is disclosed. The method may include obtaining first data via a first interface of the docking station and second data via a second interface of the docking station, responsive to operating in a first mode of the plurality of modes. The first interface may be configured to couple the docking station to a computing device, and the second interface may be configured to communicate with a network. The method may also include obtaining third data via the second interface of the docking station, in lieu of the first interface, responsive to operating in a second mode of the plurality of modes. The method may further include selectively outputting the first data and the second data, or the third data, to a display based on whether the docking station operates in the first mode or the second mode.

A device to securely access a digital asset with an asset blockchain address on a blockchain includes a processor in communication with a processor blockchain address; and code executed by the processor to: authenticate a user; and capture a user response to a question relating to the digital asset and store an answer relating to the digital asset on the blockchain and further storing digital asset contract detail, access right, and ownership right on the blockchain.

A delivery vehicle management system includes a database configured to manage delivery point information including information about a position of a delivery point of a package for each delivery vehicle and a controller. The controller executes acquiring a boarding position where a ride seeker desires to ride and a destination, calculating an estimated transport time for each delivery vehicle that is an estimated value of a time the delivery vehicle takes to travel from the boarding position to the destination, and assigning the ride seeker one of the delivery vehicles that differs from the delivery vehicle having the longest estimated transport time.

A system for controlling a charging of an electric vehicle, wherein a charging at one electric vehicle charging station affect a charging at another electric vehicle charging station is disclosed. The system includes: an electric power grid, a first electric vehicle charging station connected to the electric power grid, and a second electric vehicle charging station connected to the electric power grid, wherein the first electric vehicle charging station facilitates a charge transfer for an electric vehicle at the second electric vehicle charging station using a mobile device. The mobile device relays communication from the electric vehicle charging stations to the cloud server. The charge transfer request received at the cloud server is authorized using identification information and credit account information received from the mobile device. The charge transfer at the first electric vehicle charging station is adjusted based on a charging level at the second electric vehicle charging station.

A computer-implemented method comprises receiving a first chat message at a server computer from a chat interface of a reservation application executing on a mobile computing device; determining, by the server computer, from the first chat message, whether the first chat message specifies an intent for a recommendation of a travel item by programmatically classifying the first chat message to output the intent; in response to determining that the first chat message specifies the intent, generating a first plurality of travel items and a second chat message comprising one or more descriptors of the intent, outputting the first plurality of travel items and the second chat message in the chat interface, and including, in each travel item of the first plurality of travel items, a graphical user interface (GUI) widget that is programmed when selected to initiate a reservation dialog based on the travel item; in response to determining that the first chat message does not specify the intent, outputting in the chat interface a third chat message comprising a prompt for contextual information, receiving, in the chat interface, a fourth chat message specifying the contextual information, executing an inference stage of one or more trained machine-learning models over the contextual information to output one or more named entities, deriving the intent from the first chat message and the one or more named entities, generating, using the server computer, the intent, and the one or more named entities, a second plurality of travel items and a fifth chat message comprising one or more descriptors of the intent, outputting in the chat interface the second plurality of travel items and the fifth chat message, and including, in each of the second travel items, a second GUI widget that is programmed when selected to initiate the reservation dialog based on one or more of the second travel items.

The intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

The invention discloses a transport vehicle reservation management scheduling system and method based on the Internet of Things, and belongs to the technical field of transport management. Through intelligent scheduling optimization and task matching, the scheduling efficiency of transport vehicles is improved, the empty driving rate and the resource waste are reduced, the optimal driving path and the scheduling scheme are generated based on the vehicle state information, the historical transport data and the current road traffic condition which are collected in real time, the most suitable vehicle can be automatically matched, and the scheduling efficiency of the transport vehicles is improved. The method ensures that a transportation task can be efficiently completed in the shortest time, enables a user to accurately reserve transportation resources, reduces idle resources, improves the overall transportation efficiency, collects the operation state of vehicles in real time through the Internet of Things technology, carries out intelligent matching in combination with task demands, screens out the vehicle most suitable for task execution based on the transportation demands, and improves the transportation efficiency. And a matching scheme is optimized, so that the accuracy and rationality of task allocation are ensured, automatic and precise task matching can be realized, and the execution success rate of the transportation task is improved.