Energy Efficient ICT TRIZ Cases

Base stations transmit auxiliary detection signaling at carrier frequencies to enable mobile station channel estimation.

An integrated circuit package uses a dedicated management die to control power states, eliminating host controller verification complexity.

A base station transmits MAC management responses using a robust modulation and coding scheme to increase signal integrity.

Chassis manager dynamically powers down physical layer links when idle to reduce standby energy consumption in modular systems.

A bottom-layer core interface regulates multi-core CPU activity to resolve the contradiction between processing capability and power consumption.

A multi-lane serial link controller dynamically adjusts active lane counts based on real-time I/O device requirements to optimize power consumption.

System core logic coordinates with the processor to enter deeper power saving states independent of standard bus semantics.

Segmenting power domains allows always-on control while sleeping data movers, resolving reliability versus complexity trade-offs.

A powered device circuit measures actual cable resistance to increase power consumption beyond standard worst-case limits without triggering PSE protection.

Selective instruction omission for dummy threads resolves inter-thread dependencies while reducing power consumption and improving data processing throughput.

Monitoring remote link partner activity triggers Ethernet channel training, reducing full cycle time while maintaining communication reliability.

A policy engine adjusts image processing software modules based on real-time environmental and operational data.

A processor controller detects execution errors and adjusts operating points to retry operations.

Network switching devices calculate per-source arrival rates and apply probabilistic filtering to pass data packets based on guaranteed shared bandwidth limits.

A network information acquisition apparatus uses a low power communication unit to receive data from nearby terminals.

A function control circuitry records memory addresses to determine target memories within the same processing cycle.

A printer control circuit manages power during USB initialization by detecting host capability before requesting bus power.

Grouping virtual machines into equivalence sets generates meta-combinations that pack resources onto minimum hosts, reducing physical server counts.

Dynamic voltage margin adjustment based on internal temperature and timing code comparison reduces power loss while preventing logic errors.

Wireless mobile communication devices apportion processing tasks between local hardware and remote intermediaries based on resource availability.

Hardware-based OS timers replace software schedulers to resolve reliability contradictions and minimize sleep mode power consumption.

A network interface controller executes remote storage transactions using local bus protocols to minimize host CPU involvement.

Consolidating virtual machine images across shared physical storage units reduces power consumption by powering down idle disk arrays.

Segmenting power supply keeps touch modules active while cutting display power, reducing user manipulation when returning from sleep.

Programmable filters on analog idle detectors resolve PCIe 2.0 detection accuracy issues by removing noise-induced false transitions.

A task classification system assigns workloads to processor bins with matching power characteristics.

A display driver switches between normal and power-saving modes based on pressure sensing signals to reduce energy consumption.

Configurable data bus logic negotiates full or half-width transactions to reduce pin count and power consumption while maintaining transfer speed.

A management device transmits response confirmation requests to image forming devices and acquires operational data from responsive units.

Dynamic process migration between multi-core and single-core clusters optimizes resource allocation without software virtualization overhead.

A chip adjusts its working frequency based on real-time load statuses to reduce power consumption.

Spectral analysis of packet arrival processes distinguishes audio, video, and file traffic within hybrid connections to improve QoS guarantees.

Auto-negotiation messages configure data paths between mixed auto-negotiation devices, establishing link rates without separate protocols.

A hybrid control mechanism sets defense mode values to manage network congestion efficiently.

A power controller adjusts voltage and frequency guardbands based on active core count to optimize energy usage.

A dedicated capacitor tank supplies wakeup charge to power-gated microprocessor cores, isolating the main power grid from inductive noise during wake-up.

A LAN controller analyzes IPMI packets to manage storage power states without dedicated circuit chips.

A profiling system identifies hardware power consumption profiles to determine application energy usage during execution.

A mobile device blacklist prevents unnecessary packet data call attempts on unsupported networks, reducing battery drain and network traffic.

An operation voltage searching core adjusts processor power levels based on execution status.

Converts layer two networks from spanning tree protocol mode to explicitly routed mesh mode, resolving bandwidth waste caused by redundant link blocking.

Encapsulates detected transmission speeds within data streams to eliminate complex state machines at edge devices while maintaining full adaptability.

A virtual machine power manager collects and analyzes network component power data to generate configuration instructions.

Direct Memory Access modules align arbitrary offset data to fixed blocks, reducing hardware complexity and latency in storage device cryptography.

An oxide semiconductor storage element retains data via a capacitor during power loss, avoiding complex magnetic manufacturing processes.

A scheduling system measures stack space usage during suspended tasks to prevent memory overflow.

Load balancing processes redirect traffic based on power consumption readings to deactivate underutilized servers.

Segmenting commands with device identifiers allows concurrent operations in serial memory chains, resolving bottlenecks caused by sequential command delays.

Periodic detection via a low frequency clock avoids continuous high frequency operation, reducing power consumption during idle periods.

An auxiliary communications path delivers sparse updates to bypass high-speed GPU initialization, reducing energy consumption and wake-up delays.