Abstract:
A non-transitory computer-readable storage medium storing a n EMI calculation program that causes at least one computer to execute a process, the process includes inputting circuit information of a first circuit to a machine learning model; acquiring an EMI value at a certain frequency of the first circuit; selecting, based on an impedance characteristic of the first circuit and the EMI value at the certain frequency, first EMI information from a plurality of pieces of EMI information in each of which an impedance characteristic of each of a plurality of circuits is associated with EMI values at a plurality of frequencies of each of the plurality of circuits; and acquiring an EMI value at another frequency different from the certain frequency of the first circuit based on the EMI value at the certain frequency and the first EMI information.
Abstract:
An information processing apparatus includes a memory and a processor coupled to the memory and configured to add a positive value to a first heat release rate based on an actually measured value of an in-cylinder pressure of an internal combustion engine for each crank angle of the internal combustion engine to derive a second heat release rate according to the crank angle, set a plurality of first model parameters of a Wiebe function which models a heat release rate based on the second heat release rate, store the first model parameters in the memory, and output the first model parameters from the memory in order to calculate a torque which controls the internal combustion engine at the time of actual operation of the internal combustion engine.
Abstract:
A temperature management system includes a detection unit for detecting a temperature of a heat generator, power consumption, and an intake air temperature of the electronics device; a control unit for controlling a manipulated variable to be given to the cooling device so that the temperature of the heat generator becomes close to a target value, wherein the control unit includes controllers assigned respectively to operating ranges of the electronics device and each controller includes a prediction model for predicting a future temperature of the heat generator under conditions set for the corresponding operating range, and a vector distance between a first vector for a current state of the electronic device and a second vector for conditions included in the prediction model is calculated to select the controller that corresponds to the prediction model of the shortest vector distance.
Abstract:
A modular data center includes a fan creating a first cooling wind from outside air, an air conditioner creating a second cooling wind having a temperature lower than that of the outside air, racks housing electronic devices that take in the first and the second cooling wind, and a control unit adjusting an air volume of the first cooling wind by controlling the fan, and so as to cool the electronic device to a specified temperature. The control unit executes stopping the air conditioner when a first assumed value of a sum of air-conditioning power of the air conditioner and the fan is smaller than a current value of the air-conditioning power, and operating the air conditioner when a second assumed value of the sum of air-conditioning power of the air conditioner and the fan is smaller than the current value of the air-conditioning power.
Abstract:
A computer-readable recording medium stores a correspondence relationship determination program for causing a computer to execute a process. The process includes: acquiring, using a first machine learning model that infers individual figure information regarding one line segment in a first plurality of line segments included in first figure data and a second machine learning model that infers information regarding a relative relationship between the one line segment in the first plurality of line segments and another line segment in the first figure data, an inference result of each of a plurality of items that includes the individual figure information and the information regarding the relative relationship; and determining correspondence relationships between the first plurality of line segments and a second plurality of line segments included in second figure data different from the first figure data based on the inference result of each of the plurality of items.
Abstract:
A non-transitory computer-readable recording medium stores a program for causing a computer to execute a process, the process includes identifying, among pieces of feature information of a plurality of pieces of time-series data, a plurality of pieces of feature information similar to feature information of processing target time-series data, obtaining a predicted value distribution of the processing target time-series data based on each of the plurality of pieces of feature information, obtaining a combined distribution from the predicted value distribution, and determining a range of predicted value for the processing target time-series data based on the combined distribution.
Abstract:
A shape identification program causes a computer to execute a process including: acquiring a third shape dataset and a fourth shape dataset, respectively generated by changing sizes of a first shape dataset and a second shape dataset in each of directions of a plurality of coordinate axes according to a specific rule; and generating a first plurality of images and a second plurality of images by capturing the third shape dataset and the fourth shape dataset, respectively, from both directions of the respective plurality of coordinate axes. The process further includes identifying a second portion in the second shape dataset corresponding to a first portion in the first shape dataset by aligning orientations of the first shape dataset and the second shape dataset based on a result of comparison between the first plurality of images and the second plurality of images.
Abstract:
An engine torque estimation device includes: a memory; a processor coupled to the memory and the processor configured to, acquire a measured value of a crank angle that is a rotation angle of a crank shaft of an engine, derive, based on the measured value of the crank angle, a calculated value of a crank angle speed, and derive an estimated value of an engine torque, based on a non-linear Kalman filter using a first estimation error that is a difference between the calculated value of the crank angle speed and the estimated value of the crank angle speed.
Abstract:
A data center includes: a structure provided with an intake port at one side thereof and an exhaust port at the other side thereof; a rack disposed in the structure; an air blower configured to introduce outside air into the structure through the intake port to circulate the outside air from one side to the other side of the rack; a circulation passage configured to make a first space between the one side of the rack and the intake port and a second space between the other side of the rack and the exhaust port communicate with each other; a circulation amount control equipment disposed within the circulation passage; and an air circulation amount control device configured to control the circulation amount control equipment and an operation state of the electronic equipment such that the amount of the air which circulates the circulation passage is adjusted.
Abstract:
A method to estimate, in a communication system that includes a first communication device that executes a service, a second communication device that communicates with the first communication device via a network, and a monitoring device that monitors the network, quality of the service executed by the first communication device, includes obtaining a packet transmitted in a predetermined direction over the network, classifying the obtained packet into a packet of a first type and a packet of a second type different from the packet of the first type, and determining a feature for each type of the classified packet, and estimating the quality of the service executed by the first communication device by using a training model trained by using the feature and the quality of the service at timing when the packet used to determine the feature is transmitted, by processor circuitry.