Power Supply For Data Processing TRIZ Cases
- Battery Runtime Optimization Through Dynamic CPU Core Scaling
Battery charge triggers processor-core reduction and thermal-table changes, balancing processing power with longer portable-system runtime.
- Multi-Core Processor Voltage Control Through Hierarchical Regulation
A power-efficiency monitor adjusts global input voltage while on-chip regulators fine-tune each core, reducing external regulator count.
- Pattern-Based Memory Checkpointing for SPO Data Consistency
Write-pattern analysis delays checkpoints while data fits the buffer, then protects consistency when capacity is exceeded during SPO events.
- Display Sensor Layer Signal Segmentation for Stable Input Detection
Varying noise across blank and data periods is addressed by segmenting downlink signals to stabilize the sensing signal-to-noise ratio.
- Security Device Power-Source Queries for Tamper Detection
A security device queries other devices’ power sources to distinguish tampering from outages and improve alarm activation without mechanical switches.
- Chiplet Power Management Engine With Asynchronous Droop Detection
Asynchronous droop detection enables clock modulation across chiplets, stabilizing shared voltage supplies and shortening recovery time.
- Data Handling Facility Ontology for Power-Monitor Connection Discovery
Incomplete engineering drawings hinder facility management; an ontology maps power-monitor connections and forecasts operational changes.
- Dynamic Fabric Quiescence for In-Flight Transaction Drain
Before power down, dynamic quiescence drains in-flight FPGA fabric transactions to prevent dropped transfers and shutdown errors.
- Processor Power-Setting Control with Self-Tuning NNPID Thermal Feedback
Device-specific thermal algorithms demand extensive tuning; NNPID feedback learns platform limits to set processor power.
- Door-Mounted Laptop Battery Access Panel With Auto-Disconnect
A hinged panel uses latches and chamfered walls to register the battery, trigger disconnection, and enable tool-free replacement.
- GPU Duty-Cycle Control for Power-Performance Tradeoffs
Frequent GPU power cycling and thermal feedback help limit consumption and heat while preserving the perception of continuous availability.
- Virtual Machine Hardware Power Management Through a Privileged Guest
A privileged guest mediates virtual-machine requests to hardware power modes, avoiding host OS limits and reducing latency.
- Prediction Circuitry Deactivation for Control-Flow Power Reduction
Matching local and global control-flow histories lets power control disable redundant prediction circuitry and reduce power consumption.
- Processor Power Estimation with Dynamic Service-Class Models
Dynamic service-class selection matches processor events to dedicated power models, improving estimates as service loads change.
- Server Low-Temperature Startup With Critical-Component Preheating
Temperature monitoring activates heaters before startup, helping server components reach required starting thresholds in cold conditions.
- Machine Learning Input Device Wake-Up for Zero-Latency Response
Hand-proximity sensing wakes an input device before contact, resolving low-power wake-up latency while preserving battery life.
- Mainband–Sideband Interconnect Isolation With Dual Regulators
Separate regulators power mainband and sideband paths while shared grounding limits coupling and de-capping components suppress transient noise.
- Magnetically Actuated Ventilation Doors for Precise Cooling Control
Slide-guided magnets and Hall sensing control ventilation openings accurately at small angles without complex hinge designs.
- Dynamic Voltage Regulation for Temperature-Variable Memory Circuits
Dynamic regulator control compensates for temperature and component variation in memory circuits while reducing power use and heat generation.
- Virtual Network Function Power Profiles for Cross-Layer Control
Power profiles coordinate physical resources, containers, and service capacity to reduce VNF energy use while preserving operational integrity.
- Multi-Die Power-State Synchronization for Blocking Latency Events
Unsynchronized die power states can delay access requests and make memory unavailable; coordinated requests and acknowledgements keep transitions coherent.
- Autonomous Core Cluster Frequency Scaling With AMU Models
AMU statistics build performance and energy-per-instruction models so DVFS can select core-cluster frequencies for QoS-aware scaling.
- Interconnected Event Counters for Processor Power Throttling
Interconnected counters and weighted accumulators replace separate TDC and EDC runs with one monitoring pass for PWM or IPC-based core throttling.