Abstract: According to one embodiment, provided are a parameter calculating unit 101 that calculates an initial position and an initial posture of a device as initial parameters based on a captured image of a real object with a position of the real object as an origin, a parameter updating unit 102 that calculates displacement of a position and a posture of the device and updates the position and the posture of the device starting from the initial position and the initial posture, a display processing unit 104 that overlays and displays the content on the real object, the content being disposed in a virtual space with the position of the real object as an origin, and a determination processing unit 105 that changes, when a virtual object included in the displayed content is selected and operated, a determination state of the virtual object.

Abstract: According to one embodiment, an information processing device includes a first storage and a first processing circuit. The first storage is configured to store constraint data which includes a constraint of a combinatorial optimization problem expressed in a formal language. The first processing circuit is configured to generate logical expression data from the constraint data and generate a penalty term data including a penalty term having a binary variable parameter by converting the logical expression data.

Abstract: [PROBLEM] To visually display the manufacturing statuses of products manufactured through a plurality of manufacturing processes in order and changes of process characteristic factors caused in the manufacturing processes. [SOLVING MEANS] A visualization system according to an embodiment stores manufacturing log information including start times and end times of manufacturing processes of products grouped in manufacturing units and manufactured through a plurality of manufacturing processes in order, and chronological history information of process characteristic factors corresponding to factors affecting quality characteristics in the manufacturing processes.

Abstract: A manufacturing condition output apparatus of an embodiment is a manufacturing condition output apparatus which outputs a manufacturing condition of a product. The manufacturing condition output apparatus outputs change degree information which is information regarding degrees of change of values regarding defect probabilities for a plurality of variables relating to manufacturing of the product from model information of a model generated through machine learning on a basis of manufacturing data of the product and inspection result data of the product, as a manufacturing condition.

Abstract: A classification system according to an embodiment includes a score calculation unit, a determination unit, and a classification unit. The score calculation unit calculates respective scores of predetermined classes from input data. The determination unit determines whether the input data belongs to anyone of the classes based on the respective scores of the classes, which are calculated by the score calculation unit. The classification unit determines which one of the classes the input data belongs to, based on the calculated scores when the determination unit determines that the input data belongs to anyone of the classes and determines that the input data belongs to an unknown class that is other than the classes when the determination unit determines that the input data does not belong the classes.

Abstract: A robustness measurement device of an embodiment includes an acquirer, a noise adder, an inference result group generator, and a robustness measurer. The acquirer acquires an input image. The noise adder adds noise to the input image to generate at least one noise-added image by adding noise to the input image. The inference result group generator generates an inference result group by grouping mutually associated inference results among inference results for at least one of the input image or the noise-added image. The robustness measurer measures robustness of a test target model on the basis of the inference result group.

Abstract: A quantum cryptographic communication control device includes a collection unit, a calculation unit, a guarantee unit, and a selection unit. The collection unit collects link information of a link for which a local key is generated by quantum key distribution and a global key guarantee amount expected for a pair of applications that perform cryptographic communication by using a global key. The calculation unit calculates a link cost used for selecting a route of the global key based on the link information. The guarantee unit calculates an amount that can be guaranteed for a local key used in the link so as to satisfy the global key guarantee amount. The selection unit selects the route of the global key based on the link cost and the amount that can be guaranteed.

Abstract: An input assistance system includes a terminal device including a display screen, an acquisition unit, a recognition unit, an input item display unit, a recognition result display unit, and a reception unit. The acquisition unit acquires utterance voice data of a user. The recognition unit performs voice recognition of the utterance voice data to generate text data. The input item display unit displays a plurality of input items including the input item associated with the text data. The recognition result display unit displays the text data. The reception unit accepts an operation of selecting the input item associated with the text data displayed by the recognition result display unit from the plurality of input items displayed by the input item display unit. The reception unit accepts the operation of selecting the input item associated with the text data when the plurality of input items and the text data are displayed.

Abstract: According to one embodiment, a data collection system includes a receiving module configured to receive semi-structured data including first data of a first level and a plurality of second data of a second level, the first data including a plurality of the second data, wherein a plurality of second identification information are respectively set for a plurality of the second data, a database, an information storage module configured to store storage position information indicating storage positions of a plurality of the second identification information in the database, and a registration module configured to write a plurality of the second data to the database based on the storage position information.

Abstract: An information processing device, an information processing method, and a program capable of creating a screen more efficiently are provided. An information processing device according to an embodiment includes a display control unit, a reception unit, and a storage control unit. The display control unit displays a display screen for arranging a plurality of components each of which has a predetermined function. The reception unit receives settings of the components designated using the display screen. The storage control unit stores, in a storage device, setting information indicating the settings received. The display control unit displays the display screen on which the components are set in accordance with the setting information.

Abstract: According to one embodiment, a platooning operation system organizes a platoon by making a plurality of vehicles cooperate. The platooning operation system includes an application acceptance processor and a platoon organization processor. The application acceptance processor accepts an application of a vehicle for admission to the platoon. The platoon organization processor which selects a platoon to which the vehicle is to be admitted or determines possibility of admission of the vehicle to the platoon, based on at least one of information on a driver driving the vehicle and information on the vehicle.

Abstract: A 0-1 combinatorial-optimization-problem is solved under constraint-conditions expressed using inequality expressions. A solution-finding device includes an updating-unit and an output-unit. For each of plural elements associated with first- and second-variables, the updating-unit sequentially updates, for each unit-time between initial-timing and end-timing, the first-variable and the second-variable alternatively. The output-unit outputs the solution of the 0-1 combinatorial-optimization-problem based on the first-variable of each of the plural elements at the end-timing.

Abstract: According to the embodiment, an optical inspection method includes: emitting, acquiring, and comparing. The emitting includes emitting light beams having a first wavelength and a second wavelength toward an imaging unit in accordance with light beam directions from a subject, with light beam intensities of the first wavelength and the second wavelength being in a complementary relationship. The acquiring includes acquiring each of information of a first image related to the first wavelength and information of a second image related to the second wavelength with the imaging unit. The comparing includes comparing the information of the first image and the information of the second image to extract unevenness information of the subject.

Abstract: A communication system broadcasts utterance voice data of one of users to mobile communication terminals carried by respective users. Responsive to pressing an utterance button during a group calling communication mode in which a reception channel is established for utterance voice data transmitted from a server, the mobile communication terminal establishes a transmission channel transmitting utterance voice data to the server independently of the established reception channel, transmits utterance voice data from that mobile communication terminal, and receives utterance voice data within the communication group simultaneously. The mobile communication terminal stores a simultaneous connection upper limit in full-duplex transmission and a full-duplex transmission log including simultaneously connecting users and number of simultaneously connecting users.

Abstract: A specific-type of simple-closed circuit in a directed graph is detected. A path detection device includes a strongly-connected-component-detection unit, a problem-generation unit, a solution acquisition unit, and a simple-closed-circuit-detection unit. The strongly-connected-component-detection unit detects a strongly-connected-component in the directed graph. The problem-generation unit generates a QUBO problem for the strongly-connected-component. The solution-acquisition unit acquires a solution of the QUBO problem for the strongly-connected-component. The simple-closed-circuit-detection unit detects a simple-closed circuit in a partial graph for the strongly-connected-component. Decision variables in an objective function in the QUBO problem correspond to nodes or edges in the strongly-connected-component. The partial graph may be a part including two or more nodes or two or more edges selected based on the solution in the strongly-connected-component.

Abstract: According to one embodiment, a quantum key delivery service platform includes a plurality of quantum key delivery devices and a management server. The server monitors a storage amount of the encryption keys in the plurality of quantum key delivery devices, records a consumption record of the encryption keys for each of the plurality of cryptographic communication devices, predicts a consumption amount of the encryption keys based on the consumption record of the encryption keys, and detects a sign of shortage of the encryption keys based on the storage amount of the encryption keys and a prediction result of the consumption amount of the cryptographic keys.

Abstract: According to an embodiment, an automated machine learning system includes a registration receiver, a verification dataset storage, a verifier, a feedback information generator, a first display controller, and an algorithm storage. The registration receiver is configured to receive registration of a machine learning algorithm. The verification dataset storage stores a verification dataset for use in operation verification on the machine learning algorithm. The verifier is configured to perform the operation verification by executing the machine learning algorithm using the verification dataset stored in the verification dataset storage. The feedback information generator is configured to generate feedback information on the bases of a result of the operation verification. The first display controller is configured to control display of the generated feedback information.

Abstract: An estimate presumption apparatus of an embodiment includes: a presumption model generation unit configured to generate a presumption model using a neural network, with data directly related to calculation of estimated unit prices of estimate replies, data not directly related to the calculation of the estimated unit prices of the estimate replies, and the estimated unit prices of the estimate replies as learning data; and a presumption unit configured to presume a unit price of a product/part using the presumption model generated by the presumption model generation unit.

Abstract: An image processing apparatus according to an embodiment includes a processor. The processor acquires a classification result of classifying each of a plurality of regions set in a processing target image into one of a plurality of predetermined classes. The processor converts multidimensional data corresponding to each of the plurality of regions set in the image into low-dimensional data. The processor causes a display image including one or more regions to be displayed together with a plotted diagram including a plurality of plot points having different colors or patterns applied according to the classification result to the low-dimensional data in each of the plurality of regions, and in a case where an instruction for selecting a selected point from among the plot points is issued, the processor performs a discriminative display causing the selected point and a region corresponding to the selected point in the display image to be visually identifiable.

Abstract: In general, according to one embodiment, a named-entity extraction apparatus according to an embodiment includes: an unit extracting, using an extraction dictionary, named entities and relations from extraction document data; a unit designating character strings corresponding to the named entities extracted among character strings in learning document data; a generator generating, by applying a relation extraction rule, a learning document in which relations between named entities belonging to the categories of the relation extraction rule among the named entities designated; and a unit learning the extraction dictionary based on the learning document.