Xerox Corporation

Lionel Cazenave

Pascal Valobra

Guillaume M Bouchard

Victor Ciriza

Yves Hoppenot

Jean-Marc Andreoli

Luis Rafael Ulloa Paredes

Michael Niemaz

Victor Ciriza Lope

Methods and systems input an energy consumption profile for each of a plurality of different sleep modes available for a device, and input a probability distribution of interjob times for the device. The methods and systems then compute the optimal time-out period for each sleep mode based on the energy consumption profile of each sleep mode and the probability distribution of interjob times. Further, such methods and systems monitor the usage of the device to determine the current interjob time, and switch between sleep modes to relatively lower power sleep modes as the current interjob time becomes larger.

Multi-mode device power-saving optimization

The present disclosure teaches a device and method for simulating energy consumption by a multi-functional printing device. The device includes a processor and a computer readable memory, the memory including instructions for causing the processor to perform the method. The method includes loading an activity log comprising a plurality of jobs, loading a first strategy from a plurality of strategies, simulating each of the plurality of jobs at the printing device according to the first strategy, determining a first amount of power required by the printing device to perform the plurality of jobs, determining a second amount of power consumed by the printing device between performing the plurality jobs, creating a report including estimated power consumption by the multi-functional printing device to complete the plurality of jobs according to the first strategy, and causing the report to be displayed.

Power consumption simulator for multi-function devices

A method and system are disclosed for automatically tagging locations using collected traveler information. Traveler information, including a time/date stamp and a unique identification associated with the traveler are collected and stored in a database with locations corresponding to transportation stops. A location query, which includes a location type, an analysis period, optionally, an analysis approach, and a user selected threshold are received and a number of time/location stamps for each location is determined based upon an interval associated with the selected type. The maximum number of time/location stamps for that location is determined, and using the selected threshold, a minimum number of stamps required to designate a location as the selected type is determined. When the number of time/location stamps within the time interval for the selected type is greater than or equal to the minimum number calculated, the location is tagged as the selected location type.

Location-type tagging using collected traveler data

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Grenoble, France

Lionel Cazenave