Abstract: An information processing apparatus according to an embodiment includes a diagram processor configured to calculate, based on a first diagram of first to n-th train lines including at least one time of: times of departure of a vehicle from stop positions, times of arrival of the vehicle at the stop positions, and times of pass of the vehicle through the stop positions, an adjustment amount of the time; and an output diagram creator configured to create a second diagram based on the calculated adjustment amount and the first diagram.

Abstract: According to one embodiment, a sensor failure diagnosis device includes a drift estimator and a global rank determiner. The drift estimator estimates, based on data on measured values from sensors contained in a plurality of sensor groups including a sensor under inspection, whether or not drift failure that is steady deviation of a measured value from a true value has occurred in the sensor under inspection or a degree of the drift failure. The global rank determiner determines global ranks that are priorities of the plurality of sensor groups in the inspection based on a plurality of estimated results by the drift estimator.

Abstract: According to one embodiment, a travel planning system for a plurality of mobile objects which travel in a travel network including a plurality of traveling paths includes first processing circuitry and second processing circuitry. The first processing circuitry generates a plurality of traveling timing schedules including timings of traveling on the traveling paths for the plurality of mobile objects under a condition that conflict among the mobile objects does not occur on the traveling paths, based on: position information of the plurality of mobile objects; structure information of the travel network; and a plurality of route plans which designates order of passing through one or more designated areas in the travel network for the plurality of mobile objects. The second processing circuitry transmits movement command data for the plurality of mobile objects on a basis of the plurality of traveling timing schedules.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry. The processing circuitry reads out diagram information indicating a schedule of at least one vehicle tripping along a trip path, wherein the diagram information includes a plurality of events and the events include stop places and departure times from and/or arrival times at the stop places, and calculates a delay probability distribution for a first event of the plurality of events included in the diagram information. The processing circuitry calculates the delay probability distribution for the first event based on: event-to-event delay time information between the first event and a second event preceding the first event; and a required time interval between the first event and the second event.

Abstract: According to one embodiment, a deadlock detection device includes a combining calculator and a deadlock determiner. The combining calculator performs selecting a mobile vehicle or combined mobile vehicles from among mobile vehicles, based on a traveling path configuration graph and first state information, going forward the selected mobile vehicle to go forward on traveling path configuration graph and combining the selected mobile vehicle to another mobile vehicle or another combined mobile vehicles at a back of the other mobile vehicle or the other combined mobile vehicles, iterating a process of the selecting, the going and combining. The deadlock determiner determines that a deadlock occurs if not all the mobile vehicles have been combined by the combining calculator, and determines that no deadlock occurs if all the mobile vehicles have been combined.

Abstract: In one embodiment, a sensor assignment apparatus includes a measured value storage, a generator, a calculator, and a selector. The measured value storage stores measured values of a plurality of sensors. The generator generates combinations of sensors and arguments of a function to diagnose sensors by assigning sensors to its arguments. The calculator calculates evaluation values which are based on the function values. The function values are obtained by applying diagnostic functions to measured values for all combinations generated by the generator. The selector selects at least one combination from the resulting set of the generator by considering the evaluation values of combinations calculated by the calculator.

Abstract: An information processing apparatus according to one embodiment includes first and second processing circuitry. The first processing circuitry acquires traveling data including a plurality of features of a mobile apparatus based on a travelling state of the mobile apparatus. The second processing circuitry calculates a predicted value of consumed energy of the mobile apparatus based on a first classification rule and the traveling data, the first classification rule associating a plurality of first conditions with a plurality of first prediction models for the consumed energy used on satisfaction of the first conditions being associated with at least one of the plurality of features. The second processing circuitry determines whether update of the first classification rule is required based on a difference between the predicted value and an actual value. The second processing circuitry generates a second classification rule based on the traveling data if the update is required.

Abstract: A power demand and supply control apparatus includes a target value acquiring unit, an information collecting unit, an adjustment amount determining unit, and a communication unit. The acquiring unit acquires a target value of a total adjustment amount. The collecting unit collects information of registered power amount of each of the requesting targets. The determining unit determines an adjustment amount for each of the requesting targets based on the registered power amount of each of the requesting targets and the target value of the total adjustment amount. The communication unit notifies each of the requesting targets of the adjustment amount determined. The information of the registered power amount includes information of an executable time and date. The determining unit extracts a requesting target that has the executable time and date included in the power adjustment execution time and date, and determines the adjustment amount.

Abstract: According to one embodiment, an estimation device includes a first parameter generator, an energy simulator, a cost calculator, and a parameter selector. The first parameter generator determines values of one or more constituents of one or more first parameters to generate the one or more first parameters, the one or more constituents representing an operation status of a facility. The energy simulator calculates estimation information of energy consumption related to the first parameters by simulating energy consumption of the facility based on the first parameters. The cost calculator calculates evaluation values of the first parameters based on the estimation information of the energy consumption of the facility and actual performance information of the energy consumption of the facility. The parameter selector selects one of the plural first parameters based on the evaluation values.

Abstract: An air conditioning performance estimation device includes a processor, a data estimator, and a heat quantity estimator. The processor is configured to extract data to be used for estimating a generated heat quantity among indoor equipment data which is data relating to input/output of indoor equipment, and perform processing of converting the extracted data into a format used for estimating the generated heat quantity. The data estimator is configured to estimate unacquired data from acquired data, the acquired data being different from the unacquired data, in a case where there is the unacquired data that is data not included in the indoor equipment data among data used for estimating the generated heat quantity. And the heat quantity estimator is configured to estimate the generated heat quantity on a basis of the acquired data and the estimated data.

Abstract: An access point placement optimization device includes processing circuitry configured to: determine possibilities of communication between respective pairs of nodes in a wireless multi-hop network including a plurality of wireless terminals and a plurality of access points as the nodes; calculate, on basis of the possibilities of communication, a covering range of the wireless terminals with which each of the access points is allowed to make communications within a predetermined number of hops; generate one or more combinations of the access points; calculate, on basis of the covering range, a cost and a redundancy in case of placing the access points in accordance with each of the one or more combinations; and select the combination from the one or more combinations on basis of the redundancy and the cost.

Abstract: According to one embodiment, a route estimation apparatus includes an information communicator and a route estimator. The information communicator is configured to acquire position history information of a mobile body from an information apparatus via a communication network. The route estimator is configured to estimate a movement route used by the mobile body to move from a first position to a second position, using the position history information and route information indicating routes among a plurality of positions and characteristics of the routes.

Abstract: An operation-draft-plan creation apparatus according to an embodiment of the present invention includes an acquirer, a simulator, and an operation-draft-plan creator. The acquirer acquires a deterioration model regarding performance of a similar measurement target. The similar measurement target is a measurement target considered to be similar to an operation target. The deterioration model is calculated on the basis of a measurement value of the similar measurement target. The simulator performs a simulation concerning deterioration of the performance of the operation target on the basis of the deterioration model regarding the performance of the similar measurement target and a use case example assumed for the operation target. The creator creates an operation draft plan on the basis of a result of the simulation. The operation draft plan indicates an implementation period of maintenance work performed on the operation target.

Abstract: According to one embodiment, a sensor failure diagnosis device includes a drift estimator and a global rank determiner. The drift estimator estimates, based on data on measured values from sensors contained in a plurality of sensor groups including a sensor under inspection, whether or not drift failure that is steady deviation of a measured value from a true value has occurred in the sensor under inspection or a degree of the drift failure. The global rank determiner determines global ranks that are priorities of the plurality of sensor groups in the inspection based on a plurality of estimated results by the drift estimator.

Abstract: According to one embodiment, an equipment evaluation system includes: an estimator, an acquirer, a hardware storage and an evaluator. The estimator is implemented by the computer, to estimate a probability density distribution of a parameter representing performance of subject equipment based on measurement data of the subject equipment, the measurement data resulting from a measurement performed at each of a plurality of times. The acquirer acquires a use pattern of the subject equipment. The hardware storage stores the use pattern in association with the probability density distribution for the subject equipment. The evaluator identifies a use pattern of the subject equipment, the use pattern being similar to a use pattern of a first equipment that is different from the subject equipment, and evaluates future performance degradation of the first equipment using probability density distributions corresponding to the identified use pattern.

Abstract: A bias estimation apparatus according to an embodiment estimates a bias included in a measured values by each sensor. The bias estimation apparatus includes a reference model builder, a temporary bias generator, a corrected measured value calculator, a similarity calculator, a similarity selector, a score calculator, and an estimated bias determiner. The reference model builder builds a reference model of the measured value packs. The temporary bias generator generates a temporary bias pack. The corrected measured value calculator calculates corrected measured value packs. The similarity calculator calculates a similarity of each corrected measured value pack. The similarity selector selects a part of the similarities according to their values from among the similarities. The score calculator calculates a score based on the selected similarities. The estimated bias determiner determines an estimated bias which is an estimated value of the bias based on the score.

Abstract: An access point placement optimization device includes processing circuitry configured to: determine possibilities of communication between respective pairs of nodes in a wireless multi-hop network including a plurality of wireless terminals and a plurality of access points as the nodes; calculate, on basis of the possibilities of communication, a covering range of the wireless terminals with which each of the access points is allowed to make communications within a predetermined number of hops; generate one or more combinations of the access points; calculate, on basis of the covering range, a cost and a redundancy in case of placing the access points in accordance with each of the one or more combinations; and select the combination from the one or more combinations on basis of the redundancy and the cost.

Abstract: A scheduling apparatus includes a first calculator, a storage, and a second calculator. The first calculator is configured to calculate an assignment of plural time slots to a consumer. Each of the plural time slots is classified into at least any of plural categories. The storage is configured to store a first demand, from the consumer, regarding an extent to which the categories associated with the assignment are biased. The second calculator is configured to calculate an extent to which the categories associated with the assignment calculated by the first calculator are biased and calculate a first evaluation value representing a deviation between the first demand and an extent to which the categories associated with the assignment calculated by the first calculator are biased. The first calculator calculates the assignment so as to optimize an evaluation function including the first evaluation value.

Abstract: An estimation device according to an aspect of the present invention includes an estimator and a selector. The estimator, for each of a plurality of times, estimates a probability density distribution of a parameter representing a state of a diagnosis object, based on a measurement value of the diagnosis object, the measurement value being measured up to each of the times. The selector selects one or more probability density distributions meeting a predetermined condition relating to the probability density distribution.

Abstract: According to one embodiment, an estimation device includes a first parameter generator, an energy simulator, a cost calculator, and a parameter selector. The first parameter generator determines values of one or more constituents of one or more first parameters to generate the one or more first parameters, the one or more constituents representing an operation status of a facility. The energy simulator calculates estimation information of energy consumption related to the first parameters by simulating energy consumption of the facility based on the first parameters. The cost calculator calculates evaluation values of the first parameters based on the estimation information of the energy consumption of the facility and actual performance information of the energy consumption of the facility. The parameter selector selects one of the plural first parameters based on the evaluation values.