Abstract: A management apparatus includes a processor configured to: autonomously collect, even without an instruction from a user, attribute data concerning attributes of a product defined by a three-dimensional shape, in accordance with a collection rule for collecting the attribute data concerning the product, the attribute data being generated in individual process stages before the product is manufactured; associate the collected attribute data with three-dimensional shape data indicating the three-dimensional shape of the product, as attributes of the three-dimensional shape data, in accordance with a superimposition rule which defines association between the three-dimensional shape data and the attribute data concerning the product; and manage the three-dimensional shape data and the attributes of the product.

Abstract: A three-dimensional shape data generating apparatus includes: an acquiring section that acquires element data generated by dividing a three-dimensional shape into first elements, the three-dimensional shape being modeled with a plurality of modeling materials having different resolutions, each first element corresponding to a resolution of a first modeling material among the plurality of modeling materials; a dividing section that divides the three-dimensional shape into second elements, each second element corresponding to a second modeling material having a resolution lower than the resolution of the first modeling material and having a size larger than the first element; and a generating section that generates three-dimensional shape data through setting modeling materials for the first and second elements, respectively, according to the number of the first elements covered by the second element.

Abstract: An information processing device includes a processor configured to: when designing a three-dimensional shape made of an anisotropic material that is a material having physical property values in different directions, acquire (i) the physical property values of the anisotropic material in respective directions and (ii) performance information that is information regarding (a) a required performance that the three-dimensional shape is required to have and (b) a required direction in which the three-dimensional shape is required to exhibit the required performance, derive information for arranging the anisotropic material such that the required direction corresponds to a direction of the anisotropic material satisfying the required performance, and output the information for arranging the anisotropic material.

Abstract: A management apparatus includes a processor configured to: autonomously collect, even without an instruction from a user, attribute data concerning attributes of a product defined by a three-dimensional shape, in accordance with a collection rule for collecting the attribute data concerning the product, the attribute data being generated in individual process stages before the product is manufactured; associate the collected attribute data with three-dimensional shape data indicating the three-dimensional shape of the product, as attributes of the three-dimensional shape data, in accordance with a superimposition rule which defines association between the three-dimensional shape data and the attribute data concerning the product; and manage the three-dimensional shape data and the attributes of the product.

Abstract: A three-dimensional object data generation apparatus includes a physical property value obtaining unit that obtains, using three-dimensional object data indicating a three-dimensional object represented by plural three-dimensional elements, physical property values calculated by analyzing physical properties at a time when the three-dimensional object has been formed under a predetermined forming condition, the physical property values indicating the physical properties of the plural three-dimensional elements, a division unit that divides the three-dimensional object into plural sub-objects on a basis of a result of comparison between the physical property value of each of the plural three-dimensional elements and a predetermined threshold, a representative value calculation unit that calculates a representative value of physical property values of three-dimensional elements included in each of the plural sub-objects, and a generation unit that generates the three-dimensional object data by setting a forming

Abstract: A three-dimensional shape data generating apparatus includes: an acquiring section that acquires element data generated by dividing a three-dimensional shape into first elements, the three-dimensional shape being modeled with a plurality of modeling materials having different resolutions, each first element corresponding to a resolution of a first modeling material among the plurality of modeling materials; a dividing section that divides the three-dimensional shape into second elements, each second element corresponding to a second modeling material having a resolution lower than the resolution of the first modeling material and having a size larger than the first element; and a generating section that generates three-dimensional shape data through setting modeling materials for the first and second elements, respectively, according to the number of the first elements covered by the second element.

Abstract: A three-dimensional object data generation apparatus includes a physical property value obtaining unit that obtains, using three-dimensional object data indicating a three-dimensional object represented by plural three-dimensional elements, physical property values calculated by analyzing physical properties at a time when the three-dimensional object has been formed under a predetermined forming condition, the physical property values indicating the physical properties of the plural three-dimensional elements, a division unit that divides the three-dimensional object into plural sub-objects on a basis of a result of comparison between the physical property value of each of the plural three-dimensional elements and a predetermined threshold, a representative value calculation unit that calculates a representative value of physical property values of three-dimensional elements included in each of the plural sub-objects, and a generation unit that generates the three-dimensional object data by setting a forming

Abstract: A drying unit includes: a first irradiation device that includes plural first irradiation arrays each having plural laser elements disposed along a feeding direction of a recording medium to which liquid droplets have been ejected and which is being fed, the recording medium being irradiated with laser light by the laser elements, the first irradiation arrays being disposed side by side in a cross direction crossing the feeding direction, driving of the first irradiation device being controlled for each of the first irradiation arrays; and a second irradiation device that is provided on an upstream side or a downstream side in the feeding direction with respect to the first irradiation device, as defined herein.

Abstract: There is provided a drying device. Laser elements control energies of laser beams to be radiated, and radiates laser beams onto predetermined regions of an image, respectively. A controller controls average irradiation energy of laser beams by calculating printing rates for plural types of divided patterns with respect to the regions of the image, and calculating energy required to dry, for each divided pattern, based on the printing rates calculated for individual divided patterns, and selecting energy to be adopted according to a purpose, from the energy calculated for the individual divided patterns.

Abstract: A purchasing behavior analysis apparatus includes an acquiring unit that acquires posting information about a specific product from posting information posted to a social networking service; a conversion unit; and an artificial neural network. The artificial neural network includes a first determination layer which determines whether a user is interested in the product, a second determination layer which determines whether the user wants the product, and a third determination layer which determines whether the user is predicted to purchase the product in the future. The purchasing behavior analysis apparatus further includes an interest presence probability calculating unit, a purchase desire probability calculating unit, and a purchase likelihood probability calculating unit.

Abstract: Example implementations include a system and method of recognizing behavior of a user. In example implementations, a first post and at least one subsequent post indicative of a product and associated with a first social media account is obtained. A relevance probability is calculated for each of the obtained first post and the at least one subsequent post. The obtained first post and the at least one subsequent post are sequentially analyzed by a second neural network to determine output values relevant to probability of purchasing the product. A probability of purchasing the product is calculated based on the determined output values associated with each post and the calculated relevance probabilities. Product-related information is transmitted to the user associated with the obtained first post based on the determined probability of purchasing the product.

Abstract: There is provided a drying device. Laser elements control energies of laser beams to be radiated, and radiates laser beams onto predetermined regions of an image, respectively, A controller controls average irradiation energy of laser beams by calculating printing rates for plural types of divided patterns with respect to the regions of the image, and calculating energy required to dry, for each divided pattern, based on the printing rates calculated for individual divided patterns, and selecting energy to be adopted according to a purpose, from the energy calculated for the individual divided patterns.

Abstract: A drying unit includes: a first irradiation device that includes plural first irradiation arrays each having plural laser elements disposed along a feeding direction of a recording medium to which liquid droplets have been ejected and which is being fed, the recording medium being irradiated with laser light by the laser elements, the first irradiation arrays being disposed side by side in a cross direction crossing the feeding direction, driving of the first irradiation device being controlled for each of the first irradiation arrays; and a second irradiation device that is provided on an upstream side or a downstream side in the feeding direction with respect to the first irradiation device, as defined herein.

Abstract: A laser driving control apparatus includes: a driver that constant-voltage drives a laser light source that radiates laser light by supplying a pulse signal in which a plurality of pulses, each pulse width thereof being changeable, is generated at a predetermined cycle; and a controller that performs control to change the pulse width of each of the plurality of pulses so that a first change amount of the pulse width when a present-time pulse width is changed to a preceding pulse width prior to reaching a pulse width at which a target light quantity is obtained stably is larger than a second change amount of the pulse width when the present-time pulse width is changed to a target pulse width corresponding to a driving current at an ON time of the laser light source in a steady state in which the target light quantity is obtained stably.

Abstract: A laser driving control apparatus includes: a driver that constant-voltage drives a laser light source that radiates laser light by supplying a pulse signal in which a plurality of pulses, each pulse width thereof being changeable, is generated at a predetermined cycle; and a controller that performs control to change the pulse width of each of the plurality of pulses so that a first change amount of the pulse width when a present-time pulse width is changed to a preceding pulse width prior to reaching a pulse width at which a target light quantity is obtained stably is larger than a second change amount of the pulse width when the present-time pulse width is changed to a target pulse width corresponding to a driving current at an ON time of the laser light source in a steady state in which the target light quantity is obtained stably.

Abstract: A purchasing behavior analysis apparatus includes an acquiring unit that acquires posting information about a specific product from posting information posted to a social networking service; a conversion unit; and an artificial neural network. The artificial neural network includes a first determination layer which determines whether a user is interested in the product, a second determination layer which determines whether the user wants the product, and a third determination layer which determines whether the user is predicted to purchase the product in the future. The purchasing behavior analysis apparatus further includes an interest presence probability calculating unit, a purchase desire probability calculating unit, and a purchase likelihood probability calculating unit.

Abstract: Example implementations include a system and method of recognizing behavior of a user. In example implementations, a first post and at least one subsequent post indicative of a product and associated with a first social media account is obtained. A relevance probability is calculated for each of the obtained first post and the at least one subsequent post. The obtained first post and the at least one subsequent post are sequentially analyzed by a second neural network to determine output values relevant to probability of purchasing the product. A probability of purchasing the product is calculated based on the determined output values associated with each post and the calculated relevance probabilities. Product-related information is transmitted to the user associated with the obtained first post based on the determined probability of purchasing the product.

Abstract: An information processing apparatus includes a first extracting unit, a second extracting unit, and a third extracting unit. The first extracting unit applies a topic model to target text information and extracts topic distributions for words constituting the text information. The second extracting unit extracts a first topic for the text information from the topic distributions extracted by the first extracting unit. The third extracting unit extracts a word satisfying a predetermined condition, from at least one word having the first topic, as a context word in the text information. The first topic is extracted by the second extracting unit.

Abstract: A non-transitory computer readable medium storing a program is provided. A process of the program includes: extracting, concerning first document information including texts, a word sense associated with a word in each text; setting a word sense to be a teacher signal; creating a first topic model by using the teacher signal; estimating a topic of each text by using the first topic model; generating a learning model by using the topic as a feature and the teacher signal as a category; extracting, concerning second document information including texts, a word sense associated with a word in each text; setting a word sense to be a teacher signal; creating a second topic model by using the teacher signal; estimating a topic of each text by using the second topic model; and estimating a category of each text by using the topic as a feature and the learning model.

Abstract: A non-transitory computer readable medium stores an annotation-information adding program that causes a computer to function as an adding unit, an evaluating unit, and a setting unit. The adding unit adds annotation information to target information including multiple targets based on input from a first inputter. The evaluating unit evaluates reliability of the first inputter and reliability of a second inputter by comparing annotation information already added to at least one of the multiple targets by the second inputter with annotation information added by the first inputter. The setting unit sets a target range in the target information intended for requesting the first inputter to add annotation information based on the reliability of the first inputter and the reliability of the second inputter.