Data Processing Applications TRIZ Cases

Patient-specific PK-PD modeling ranks anti-infective therapies by target attainment probability, improving treatment selection under pathogen variability.

Multi-agent reinforcement learning allocates maneuver and artillery forces faster under complex, fast-changing battlefield conditions.

BLE beacons push context-aware EHR updates to authorized mobile users, reducing information overload while supporting timely clinical decisions.

Machine learning combines machine tracks and satellite images to generate accurate field boundaries and routes with less overlap and fuel use.

A blended refrigerant using R-1132a, CO2, and R-125 enables ultra-low cooling with low GWP, non-flammability, and no dry ice blockage.

Users turn selected and associated interactive media into new shared content, expanding interaction modes without a rigid single-mode experience.

Pre-execution input checks compare user actions with reference operations and pause processing until approval when deviations exceed a threshold.

Dynamic clustering, data enhancement, and graph attention improve abnormal state detection and classification in active distribution networks.

Pseudo-currency wagering mirrors real event odds without financial loss, while reduced update frequency helps limit bandwidth demand.

Real-time organic matter sensing replaces pre-plant soil mapping to adjust seeding rates, hybrid choice, and soil treatment during planting.

Water spray modules and electromagnet ropes form real-time XR spatial structures that add collision and temperature feedback across the body.

Historical work rates, crop type, and live weight metrics are combined to predict completion time and remaining time for worksite operations.

Blockchain tokens track task energy per data object, letting smart contracts update usage metrics for finer scheduling and energy control.

Pre-registered tracking tokens let kiosk lockers securely dispense a replacement phone, card, and cash while disabling the lost device.

Timestamped smart-meter qualimetry enables lower-cost, reliable low-voltage network monitoring near end consumers.

Participant interaction data is used to predict compliance and deliver lower-supervision programming that reduces parole management burden.

Tracks original and secondary digital works with WebAssembly smart contracts to verify forged video, image, voice, and text content.

Policy and location matching filters irrelevant weather notifications and triggers timely actions to reduce user impact and computing waste.

An embedded window layer lets app cards show custom notification elements with real-time updates while keeping switching interfaces intuitive.

Tiered AI bots monitor community interactions, detect sentiment trends, and publish tone-matched posts to speed moderation and improve consistency.

A wireless lockbox sends seller offer data to an agent's phone and unlocks only after authenticated acceptance, improving security and compliance.

Analyzes hand beauty motions in user video by comparing position and velocity differences to generate personalized guidance for each facial target part.

Combines card reading and table video tracking to catch card loss, exchange, and payout errors in real time and stop play immediately.

Fusing elderly travel detection, bus-node analysis, leisure facilities, and microenvironment data improves neighborhood aging suitability assessment.

Automated clustering of facility-state business information grades physical areas across preset dimensions, cutting manual evaluation effort and cost.

UWB positioning and binding tags replace inaccurate indoor GPS and cumbersome Bluetooth steps for precise lock location and simpler unlocking.

Dynamic sticker suggestions and text input in one reply interface help users respond to media messages more quickly and seamlessly.

Printing log frequency is used to recommend suitable label media, improving label data sharing convenience without heavy real-time analysis.

Real-time cash flow curves update overridden time-period values automatically, improving projection accuracy without manual rework.

Factor loading thresholds iteratively remove unsuitable risk values, improving automated comprehensive risk evaluation accuracy.

Visual comparison of onboard service status across similar trips helps operators spot quality degradation and resolve vessel service issues faster.

Real-time seller offer delivery is verified on the agent's phone, and lockbox access is released only after authenticated acceptance.

Design data is split into structural and geometric sets so suppliers can review product structure while encrypted geometry stays under provider control.

AI maps lesson objectives to curriculum standards, automates interactive lesson creation, and cuts manual planning time without sacrificing outcomes.

A server aggregates contact availability across platforms to connect users faster without manual checking for socializing.

Risk-based station siting combines gridded weather data, heat wave indexes, and optimization to improve coverage and cut station count.

Machine-learning screening blocks inappropriate customer profile images on quick service restaurant signage while preserving personalized display.

Automatic capture of gunshot, location, and time data improves incident report accuracy in high-stress law enforcement events.

Temporary client-side marks are validated before account sync, enabling post-login retrieval while blocking false marking information.

Sensors and automated data feeds cut manual event content uploads while delivering real-time scores, media, and updates to remote viewers.

Strategic sensor placement and likelihood scoring pinpoint rumor sources early with less observation data and lower localization error.

Maps multiple social accounts into a unified graph to identify the same person, cluster interests, and limit image-processing load.

A seven-table scoring kit standardizes death scene evidence to classify suicide compatibility more objectively and reduce misclassification.

Selective blocking lets mobile users pause or limit location identity sharing by time, place, or proximity to prevent unwanted exposure.

Clusters idle autonomous vehicles into location-based microgrids to schedule computing tasks by runtime and reduce rescheduling and idle time.

Inline-frame capture and tokenized storage let merchants use sensitive payment data without handling local retention, encryption, or access control.

Complex records from phones, social media, and timelines are linked into a visual forensic storyboard that is easier to update and communicate.

AI Bot dialogue adapts course content to student attributes, improving remote learning quality while tracking knowledge progression.

An AI assistant condenses messages, group chats, and dynamic updates into cards, reducing switching time and scattered attention.

Cryptographic provenance, zero-knowledge license checks, and automated royalty routing resolve AI content ownership ambiguity.