Services Signalling TRIZ Cases

A user equipment configures independent measurement gap patterns for unlicensed spectrum reception.

An APP pushing system extracts intimacy sets from address book data to improve recommendation accuracy.

Bluetooth Low Energy beacons transmit merchant identifiers to customer devices, enabling precise location tracking without relying on inaccurate GPS signals.

Dynamic SMS routing eliminates manual search friction, increasing review generation rates and simplifying online reputation monitoring.

A trajectory determination device processes mobile signaling data to classify movement markers and generate structured trajectory information.

A widget server routes dynamic messages to compatible terminals while falling back to SMS centers for non-widget devices.

A mobile positioning trigger mechanism coordinates network nodes to exchange location data across multi-vendor systems.

A location-based alert transmission system delivers targeted spot comments to mobile devices within defined proximity ranges.

Augmented reality overlays spatial device indicators onto camera views, eliminating selection errors in crowded environments.

A network allocates UE-specific parameters to generate proximity detection signals for authorized user equipment identification.

Automatic check-in service detects venue proximity and executes user entry via predefined rules, resolving manual check-in fatigue.

A method parses domain requests into weighted word signatures to identify installed applications on mobile terminals.

A mobile device transmits location data using the Signaling System 7 protocol when Internet connectivity is absent.

A route correlation system identifies implicit relationships between mobile devices by analyzing their dynamic paths and associated entities.

Mobility Management Entity allocates locating identifiers to ensure correct delivery of positioning information between network elements.

An electrophoretic display system locks branding information to prevent manual changes.

Network manages user equipment inactive states via pre-configured timer and data criteria, resolving tracking accuracy issues while reducing power consumption.

Multiple application modules analyze wireless distribution signals via a software platform, resolving monitoring complexity without hardware changes.

A message transmission system prioritizes event delivery based on user engagement levels to optimize resource consumption.

A messaging system creates dynamic topic-based channels to route customer queries directly to qualified agents.

Control parameters manage reporting frequency and data types, reducing server overload and battery drain during wireless location tracking.

A central server designates a subnet wake-up master to issue signals that transition computers from standby states into active modes.

A system acquires user position and point of interest data to provide relevant peer information.

App combines short-range proximity scanning with long-range discovery and server validation to resolve coverage limits while maintaining accuracy.

Extracting specific attributes from social profiles constructs economic graphs that visualize talent distribution, helping planners retain skilled workers.

A request analysis system segments monitoring into two levels to apply real-time access restrictions based on parameter counters.

Connection end-point proxies use user affinities to preload data, resolving latency and bandwidth bottlenecks in wide area networks.

Detection devices at facility entrances trigger targeted messages to mobile devices, eliminating manual search efforts and reducing navigation time.

Merging probe support with the position determination device eliminates complex mechanical movement apparatus, reducing calibration difficulty and cost.

A commodity cluster constructs user-centric graphs to automatically learn and rank first-order rules for cyberthreat detection.

An entitlement token mediates user presence verification at fixed venues to trigger automated social network status updates without manual device interaction.

A location intelligence management system dynamically allocates position determining equipment resources based on user priority and real-time network conditions.

A time-location type mapping table calculates probability sums to identify user geographical locations from historical upload times.

Push engine stores undelivered message snapshots in a database to restore delivery timeliness after persistent connection interruptions.

Active user selection records replace data mining to target advertisements while preserving privacy and reducing computing resource consumption.

A location-based social network assigns users to geographical neighborhoods for community-specific messaging and interactions.

A mobile station receives a multimedia message in parts to verify the actual size against the notification length before completing the download.

Multiple application modules process wireless signals to execute network services, expanding distributed antenna system versatility beyond mobile coverage.

A gesture reconciliation mechanism normalizes multi-device inputs to maintain shared session coherence.

An intermediary mediator enables a calendar application to access external data while maintaining security boundaries and reducing system complexity.

Enhanced LTE protocol segments location reporting into non-final and final phases to prevent communication disruptions.

A distributed processing system schedules characteristic data across multiple computing nodes to accelerate updates.

A social media knowledge base system classifies and ranks accounts by influence to present relevant postings.

Network Exposure Function coordinates cell-level and deferred location methods to track terminal devices.

A social messaging hub bridges mobile and computer networks using a virtual phone number system for unified communication.

Uses captured ambient information as a mediator to resolve the trade-off between ad-hoc adaptability and connection ease for wireless devices.

A scoring server calculates information communicativity scores using subscriber action history and response data to identify suitable influencers.