Energy Efficient ICT TRIZ Cases

Microcontroller detects charger insertion and wakes the CPU to adjust current, solving sleep mode power trade-offs.

Performance state control adjusts processor voltage and frequency based on real-time workload characteristics.

A partition power policy wizard calculates processing units allotment for logical partitions based on user-defined adherence settings.

A link health monitor detects signal degradation in aggregation links and places affected ports into disabled states to prevent data transmission errors.

Distributed servers monitor peer processing loads to autonomously start or stop power supplies, resolving reliability risks from central controller failures.

Switching between regulated and unregulated voltages reduces interface noise during active operations while lowering standby power consumption.

A power-saving system disables trackball motion sensors and the display screen to conserve battery energy in handheld communication devices.

A server rack system lowers power consumption or shuts down nodes when power supply units fail to output normal voltage.

Interleaved storage circuits distribute data bits across multiple banks to enable parallel lane access, reducing register bank complexity and power consumption.

A compute cluster scheduler allocates resources to jobs using a balanced distribution policy that assigns minimum requirements and desired priorities.

Segmenting error detection and tag comparison logic accelerates cache hit status determination while reducing integrated circuit real estate.

Segmenting ports and applying dynamic control reduces power consumption while maintaining network reliability.

A mobile communication device uses an Inter-RAT idle roaming timer to measure a count period from the WCDMA service cut-off time.

Timing controller disables column drivers during vertical blanking periods, reducing power consumption while maintaining display refresh capability.

A multi-core system modulates individual core frequencies using phase locked loops and local power units to manage performance states.

Segmenting PDCCH monitoring to the primary carrier reduces UE power consumption and false alarm rates during semi-persistent scheduling.

A programmable clock controller adjusts bus frequency based on master device requests to balance performance and power.

A card reader processor detects memory card insertion and displays data contents using standby power from a portable electronic apparatus.

A data communication protocol negotiates SMB versions to enable compound commands and multi-channel transfers.

A network-on-chip timing power estimating device calculates transmission timings to determine circuit states for accurate power consumption analysis.

Controller segments solid state memory into independent zones to initialize components in parallel, reducing boot-up time without compromising capacity.

A slave node switch blocks reception signals via a prohibition signal from the master ECU to maintain sleep mode.

Segmenting total energy measurements by thread execution time isolates individual software power consumption for targeted optimization.

Client device transmits suspend request to host device, reducing power consumption during idle periods.

Virtual desktops segment interfaces to reduce operational complexity and time consumption during emergency dispatch.

A power sourcing equipment generates distinct voltage levels to exchange data with a powered device via common-mode transmission.

A data processing system uses dynamic voltage scaling to reduce leakage current while maintaining state retention.

Bandwidth throttling enables lower voltage operation in C1E states while maintaining compatibility with standard LFM levels upon exit.

A hard disk control device intercepts access commands during idle periods to enable power saving modes.

Frame slicing schedules frequency scanning between burst arrivals, eliminating continuous monitoring to lower power consumption during handover.

Tunable monitoring circuitry adjusts operating parameters based on signal propagation delay to optimize power consumption in data processing systems.

Segmented command placement configurations accommodate clock speed mismatches between controllers and memory devices while maintaining timing requirements.

Dynamic migration of virtual machines based on real-time temperature data reduces thermal hotspots and lowers cooling costs in densely packed data centers.

An embedded subsystem controller switches power states based on the main computer status to conserve energy.

A processor control system adjusts performance ramp rates based on power capping status to manage energy consumption.

A network switch routes packets using physical port and packet parameter combinations to identify link aggregation groups.

A power control unit adjusts last level cache size and operating voltage based on real-time processor workload demands.

A multiprocessor system uses a stop unit and switching unit to redirect memory access during power saving transitions.

Banked cache management separates snoop traffic from local accesses, preserving effective bandwidth in multiprocessor systems.

A Personal Network Element requests a new network configuration from a server using stored usage data.

A single-direction interconnect merges read and write paths to reduce chip area while enabling low-latency parallel access for multithreaded processors.

A control section manages power supply conditions based on battery level and external device voltage to sustain electronic device operation.

A task engine assigns priorities using heuristics policies to schedule actions based on event notifications.

On-demand power control scheme for hard disk drive logic groups.

A rectifier circuit modulates signal amplitude through active circuits operating in half-active and full-active modes.

Embedded controller monitors USB signals to switch mobile communication devices from power-saving to normal working mode.

ALERT frames with alignment offset data facilitate rapid transitions between active and low power idle modes in Ethernet links.

A speculative read engine processes requests via parallel paths to verify access conditions before forwarding them.

A computer process monitors its own resource utilization to detect conditions requiring reduction.

Storing link qualities across multiple positionings enables accurate future estimation, reducing wireless resource consumption.

A parallel computer selects collective operation protocols using a performance fit equation to match operating parameters.

A centralized voltage regulator control system coordinates processor voltage levels via a shared communication interface.

A load adaptive pipeline system dynamically allocates resource components to optimize data transfer performance between memory and host devices.

A power manager aggregates application constraints to identify feasible device driver operating modes within a multi-dimensional parameter space.

A power management framework estimates future loads on processors, peripherals, and memory buses to issue dynamic voltage and frequency scaling commands.

Workload detectors signal a power management unit to adjust CPU frequency, resolving the contradiction between processing speed and power consumption.

A high speed input output system dynamically adjusts transmission modes to match actual data rates.

Hardware-based resistance detection adapts USB On-The-Go configurations without software latency or high power consumption.

Segmenting volatile SDRAM from nonvolatile NAND flash minimizes write cycles on the flash, extending lifespan while maintaining fast access speeds.

A trace unit promotes and appends instruction sequences based on bias values to increase execution throughput.

A multi-cell data processor engine with local instruction memory and selective inter-cell communication routes signals between radio frequency and baseband sections.

A network system adjusts IC driving frequency and supply voltage using exchanged operation information to reduce power consumption.

Aggregating mobile app data transfer intents reduces battery consumption and network bandwidth by batching transmissions.

Optimization framework migrates application instances across hosting sites to leverage variable energy pricing and availability.

A storage controller logically partitions areas and allocates physical ports to optimize bandwidth usage.

A secondary operating system runs on a low-power processor to maintain data entry capabilities, preventing task interruption during battery depletion.

Multi-processor systems redistribute computing loads to throttle underutilized processors, reducing power consumption in high-density environments.