Special Data Processing Applications TRIZ Cases

Residual-learning semantic segmentation analyzes endoscopic images to improve esophageal lesion detection without complex examination steps.

This case shows how SQL, transaction, and storage layers support switching between stand-alone and distributed database modes.

Dividing one sorted table into smaller segments pipelines binary searches, improving throughput without increasing memory usage.

A language model updates session context from agent feedback to improve automated support and route complex requests to humans.

A unified data service merges connected knowledge graphs, reducing query complexity and time across isolated IT and OT systems.

Operation and hierarchy-based message passing clarifies memory mapping for mainframe code translation and impact analysis.

Hierarchical query planning reduces duplicate API calls in data retrieval.

Content-based access policies govern auto-generated documents across collaboration lifecycles.

In-memory hashes locate key bins in sorted logs, while compaction groups prefixes to reduce read and write amplification.

A mounted remote file system stores container images centrally, reducing local storage use and repeated repository data exchange.

Credential-linked email and SMS magic links simplify CPE setup by reducing manual entry and improving device configuration accuracy.

This platform separates employee and vendor monitoring, calculates exposure scores, and reports organizational privacy risk.

A scalable neural network learns from diverse web pages to extract information across changing templates without website-specific updates.

A user terminal predicts stale search results and re-computes them locally, reducing database traffic and energy use.

This case correlates application and infrastructure FQDNs to combine vulnerabilities into one security posture assessment.

This case uses locator columns and volume-based space assignment to streamline mixed regular and LOB table storage.

A two-pass algorithm computes node depth and width to filter candidates, cutting exhaustive comparisons in large hierarchical trees.

Floating panes expand or collapse with cursor position, helping users navigate multiple information levels without constant clicks.

A user-space synchronization manager caches selected files and folders, filtering events without changing remote hierarchies.

Evolution models adjust property reliability over time, improving automated individual merging while reducing false positives.

Dynamic serverless processing ingests, transforms, and loads data for scalable endpoint delivery while reducing infrastructure complexity.

Developers update and validate a non-production rule schema while users remain on production, then switch schemas after approval.

This case isolates linked content in a sandbox, hashes it, and enables rapid malicious-content categorization before message delivery.

This case uses web content analysis and personalized object carousels to encourage navigation into interactive contexts.

Link message elements to documents for easier retrieval after storage moves.

A date-linked hierarchy and hash table streamline big data queries, while periodic result display reduces database and GUI strain.

A browser-embedded vector database retrieves relevant session data, helping lightweight preprocessing support low-latency model inference.

A retrieval ensemble selects weighted evidence passages before aggregation, improving reliability across complex, hierarchical queries.

This case uses date-and-size prioritization, adaptive cache sizing, queuing, and monitoring to improve migration accuracy.

B-tree buckets, geo-indexing, and aggregation pipelines process timeseries data directly without SQL conversion.

Search and drag-and-drop bookmarks make crowded application menus easier to navigate.

This case uses depth-based freshness intervals and crawler monitoring to keep cache objects consistent with long-term storage.

Automated trade-style capture speeds corporate identity matching and reduces duplicate records.

This case combines pre-generated web summaries with fine-tuned large language models to reduce search latency while preserving coverage.

This case uses filtered superset-guaranteeing expressions to parallelize large database queries before final row filtering.

Scannable ID tags and a network database link physical books with digital files for simpler bundled content access.