Abstract: A non-transitory computer-readable storage medium storing a merchandise purchase support program that causes at least one computer to execute a process, the process includes obtaining pieces of position information of each of a plurality of users; when there is an inquiry about an arrangement position of certain merchandise from a user of the plurality of users, specifying a first position where the user has performed a certain action indicating a feature of searching for the arrangement position of the certain merchandise, based on the piece of position information obtained in certain time before execution of the inquiry among the pieces of position information of the user; and determining a second position near the specified first position as a candidate for a new arrangement position of the certain merchandise.

Abstract: A non-transitory computer-readable storage medium storing a product purchase support program that causes at least one computer to execute a process, the process includes receiving a first list for a first products for which a first user has performed a certain action from a mobile terminal; specifying a second list for a second products that corresponds to the first products included; and transmitting, to the mobile terminal, information that indicates that the certain action has not been performed for the second products when it is determined that the mobile terminal has moved to a position different from a position where the second products are arranged before information that indicates that the first user has performed the certain action for the second products is received from the mobile terminal.

Abstract: A radiated electromagnetic wave estimation is performed by a computer. The estimation process includes: converting a circuit diagram of an electronic circuit board into a combination of a plurality of partial circuits; and predicting radiated electromagnetic waves from the electronic circuit board by using a prediction result of a radiated electromagnetic wave for each of the partial circuits obtained by the converting.

Abstract: An ammonia plant synthesis gas compressor train includes a steam turbine; and a compression unit that compresses a synthesis gas by being rotationally driven by the steam turbine. The compression unit includes a rotary shaft that rotates around an axis, and a plurality of impellers that are provided on the rotary shaft at intervals in a direction of the axis and are rotated integrally with the rotary shaft to pump a gas outward in a radial direction to compress the gas. In at least one of the impellers, a maximum operating peripheral speed at a radially outermost position of the impeller is within a range of 290 m/s to 390 m/s, a yield strength is 827 MPa or less, and a Brinell hardness is 311 or less.

Abstract: A non-transitory computer-readable storage medium storing a prediction program that causes at least one computer to execute a process, the process includes simulating a flow of people based on a plurality of behavior intentions of people; evaluating the simulated flow based on observation data of the flow of people; and predicting the flow of people based on an evaluation result of the simulated flow of people.

Abstract: A non-transitory computer-readable storage medium storing an agent model building program that causes at least one computer to execute a process, the process includes selecting a pair of samples among samples included in a data set, each of the pair of samples having a value other than stimulus variables related to an input to an agent; acquiring a first output result of the data set by inputting the data set to a neural network; acquiring a first penalty based on whether the value conform to a sensitivity function; and adjusting a parameter of the neural network until a training error based on the first output result and the first penalty satisfy a certain condition.

Abstract: Information for determining whether to evacuate or not is provided to a user by a computerized process. The process includes: acquiring a number of evacuees for each of a plurality of targets corresponding to a predetermined user; selecting a target of the plurality of targets based on the acquired numbers of evacuees for the plurality of targets and importance levels respectively set for the plurality of targets; and associating information on the selected target with information on the acquired number of evacuees for the selected target and outputting the information on the selected target and the information on the acquired number of evacuees for the selected target to the predetermined user.

Abstract: An estimation method is performed by a computer for estimating a far field of electromagnetic waves or heat. The method includes: generating an emphasis pattern image obtained by emphasizing each target element of a pattern image of a target circuit by an emphasizing method that corresponds to a type of each target element, with respect to the target element which is at least a part of elements included in the target circuit; and estimating the far field of electromagnetic waves or heat radiated from the target circuit by an existing estimation model using the emphasis pattern image.

Abstract: A charge gas compressor train for an ethylene plant includes: a steam turbine; and a compression unit that is configured to be driven by the steam turbine to compress a charge gas. The compression unit includes a closed impeller at each impeller of a plurality of compression stages. An outer diameter of blades of the closed impeller at least at an initial stage of the plurality of compression stages is 1,400 to 1,800 mm. A maximum operating peripheral speed of the blades of the closed impeller at the initial stage at an outermost diameter position is 350 to 400 m/s. An output of the charge gas compressor train is 100 to 140 MW.

Abstract: A non-transitory computer-readable recording medium storing an information processing program that causes at least one computer to execute a process, the process includes, acquiring a matrix forming a certain matrix equation; dividing the matrix into a plurality of blocks each including an element having a certain attribute based on an attribute of each element of a plurality of elements included in the matrix; changing a scale of each element of the plurality of elements included in each block of the plurality of blocks; and setting the matrix after the scale is changed to a target to be inputted to a machine learning model that performs a matrix operation.

Abstract: A machine learning method implemented by a computer includes: acquiring simulation conditions including a shape of an object and an inflow velocity of fluid; identifying, based on the shape of the object and the inflow velocity that have been acquired, a position of a boundary layer with respect to the object, a diffusion range of the fluid, and a flow velocity diffusion range of a wake flow of the fluid; creating training data associating the position of the boundary layer, the diffusion range of the fluid, and the flow velocity diffusion range of the wake flow of the fluid that have been identified with a flow velocity field under the simulation conditions; and generating a model that estimates the flow velocity field from the simulation conditions by using the training data.

Abstract: A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process, the process including identifying, for an electronic circuit to be analyzed, a resonance frequency of a current and a spatial distribution of the current that flows through the electronic circuit to be analyzed at the resonance frequency, generating a machine learning model using a training data set in which arrangements of circuit elements in respective electronic circuits differ from each other, inputting a value of the identified resonance frequency and information of the identified spatial distribution to the generated machine learning model, and estimating an electromagnetic wave radiation situation of the electronic circuit to be analyzed, based on an output from the machine learning model according to the inputting.

Abstract: A radiated electromagnetic wave estimation is performed by a computer. The estimation process includes: converting a circuit diagram of an electronic circuit board into a combination of a plurality of partial circuits; and predicting radiated electromagnetic waves from the electronic circuit board by using a prediction result of a radiated electromagnetic wave for each of the partial circuits obtained by the converting.

Abstract: Information for determining whether to evacuate or not is provided to a user by a computerized process. The process includes: acquiring a number of evacuees for each of a plurality of targets corresponding to a predetermined user; selecting a target of the plurality of targets based on the acquired numbers of evacuees for the plurality of targets and importance levels respectively set for the plurality of targets; and associating information on the selected target with information on the acquired number of evacuees for the selected target and outputting the information on the selected target and the information on the acquired number of evacuees for the selected target to the predetermined user.

Abstract: An ammonia plant synthesis gas compressor train includes a steam turbine; and a compression unit that compresses a synthesis gas by being rotationally driven by the steam turbine. The compression unit includes a rotary shaft that rotates around an axis, and a plurality of impellers that are provided on the rotary shaft at intervals in a direction of the axis and are rotated integrally with the rotary shaft to pump a gas outward in a radial direction to compress the gas. In at least one of the impellers, a maximum operating peripheral speed at a radially outermost position of the impeller is within a range of 290 m/s to 390 m/s, a yield strength is 827 MPa or less, and a Vickers hardness is 311 or less.

Abstract: A charge gas compressor train for an ethylene plant is provided having a smaller size and an increased capacity. The present disclosure provides a charge gas compressor train for an ethylene plant, the compressor including: a steam turbine; and a compression unit that is driven by the steam turbine to compress a charge gas, the compression unit includes a closed impeller at each impeller of a plurality of compression stages, an outer diameter of a blade of the closed impeller at least at an initial stage of the plurality of compression stages is 1,400 to 1,800 mm, a maximum operating peripheral speed of the blade of the closed impeller at the initial stage at an outermost diameter position is 350 to 400 m/s, and an output of the charge gas compressor train is 100 to 140 MW.

Abstract: In a laser clad-welding method, a laser torch is moved so that a distance from a central axis of a countersunk groove to an irradiation locus of a laser beam falls within a first distance range within which a partitioning wall located between adjacent countersunk grooves does not melt down in a part of the countersunk groove on a center side of the combustion chamber, and a distance from the central axis of the countersunk groove to an irradiation locus of the laser beam falls within a second distance range within which a prescribed processing allowance is ensured with respect to a target interface in a part of the countersunk groove on an outer circumference side of the combustion chamber in a process of forming a cladding layer by irradiating a laser beam to the countersunk groove while feeding metal powder to the countersunk groove.

Abstract: An estimation method is performed by a computer for estimating a far field of electromagnetic waves or heat. The method includes: generating an emphasis pattern image obtained by emphasizing each target element of a pattern image of a target circuit by an emphasizing method that corresponds to a type of each target element, with respect to the target element which is at least a part of elements included in the target circuit; and estimating the far field of electromagnetic waves or heat radiated from the target circuit by an existing estimation model using the emphasis pattern image.

Abstract: A computer-readable recording medium storing therein a program for causing a computer to execute a process that includes: generating a plurality of first gene-information point sets; deciding a plurality of first reference points on a boundary line and generating a plurality of first rectangular regions based on the first gene-information point sets; generating a plurality of second gene -information point sets using a genetic algorithm; for each of the plurality of second gene-information point sets, deciding a plurality of second reference points on the boundary line and generating a plurality of second rectangular regions; specifying one of the plurality of first gene-information point sets and the plurality of second gene-information point sets; and dividing a target region based on the plurality of first rectangular regions or the plurality of second rectangular regions generated according to the specified first gene-information point set or second gene-information point set.

Abstract: Provided is a non-transitory computer readable medium storing a mapping information generation program that causes a computer to execute a process, the process including: placing a plurality of processes in a space generated by a computer; changing positions of the plurality of processes by applying at least one of an attracting force and a repulsive force between each two processes included in the plurality of processes; and generating information that maps the plurality of processes to a plurality of processors based on changed positions of the plurality of processes and positions of the plurality of processors.