Abstract: An article detection device includes: an image acquiring unit acquiring a surroundings image; a first information image preparing unit preparing a first information image by converting information on a load/unloading target portion of the article to an easily recognizable state based on the surroundings image; a first calculation unit calculating at least one of a position and a posture of the load/unloading target portion; a second information image preparing unit preparing a second information image by converting information on a pitch angle detection portion of the article to an easily recognizable state; and a second calculation unit configured extracting at least two edge candidates for the article extending in a specific direction and included in the second information image based on a calculation result from the first calculation unit and calculating a three-dimensional direction vector indicating a pitch angle of the article from the edge candidates.

Abstract: An information management method, implemented by a computer, for managing information includes: acquiring a plurality of pieces of item information having different data input cycles or data measurement cycles as information associated with a specific item; and individually storing each of the plurality of pieces of item information associated with the specific item in association with a plurality of different blockchains.

Abstract: A supplier terminal device is used for a supply chain management system in which concealed data of a plurality of traders that form a supply chain is managed using a blockchain. A particular terminal device of a particular trader transmits a providing request for undisclosed information to a receipt terminal device of a direct trader having a business relationship with the particular trader. If the receipt terminal device that has received the providing request does not store the undisclosed information, the receipt terminal device transfers the providing request to the receipt terminal device of another trader. In contrast, if the receipt terminal device stores the undisclosed information, the receipt terminal device returns the undisclosed information to the particular terminal device.

Abstract: A mobility data storage method executed by a plurality of vehicles each including a sensor and a processor coupled to the sensor, the processor of each of the plurality of vehicles being configured to store a local blockchain, the method includes, with the processor of the plurality of vehicles, attaching a sensor data pool, a random value that excess a threshold, and a verifiable random function (VRF) proof to a respective candidate block then broadcasting the candidate block to all other vehicles. Then, a particular candidate block whose random value is largest among the broadcasted candidate blocks is selected and verified with the VRF proof prior to be attached to the local blockchain.

Abstract: An information code that records information read by a first reader and a second reader, includes: a plurality of bar areas; and a plurality of space areas disposed between the plurality of bar areas. The plurality of the bar areas and the plurality of space areas provide a barcode for recording a first information recognized by the first reader. At least one of the plurality of bar areas and the plurality of space areas provide a second information recognized by the second reader in a format including a hash value with an arrangement of a plurality of colors defined so as not to change a discrimination between the bar areas and the space areas by the first reader.

Abstract: A mobility data storage method executed by a plurality of vehicles each including a sensor and a processor coupled to the sensor, the processor of each of the plurality of vehicles being configured to store a local blockchain, the method includes, with the processor of the plurality of vehicles, attaching a sensor data pool, a random value that excess a threshold, and a verifiable random function (VRF) proof to a respective candidate block then broadcasting the candidate block to all other vehicles. Then, a particular candidate block whose random value is largest among the broadcasted candidate blocks is selected and verified with the VRF proof prior to be attached to the local blockchain.

Abstract: A method of processing information related to a distributed item includes generating attachment information and acquiring a reference request and requester information. The attachment information is associated with history information accumulated for the distributed item and is to be distributed along with the distributed item. The reference request is made for a reference to the history information using the attachment information attached to the distributed item. The requester information contains at least location data of a requester terminal that made the reference request.

Abstract: A verification terminal includes a storage unit that stores partial block data. The partial block data is the latest data that a part of block data for update and addition in chronological order. The verification terminal selects a plurality of approval terminals to approve the partial block data stored in the storage unit. When a transaction included in the partial block data stored in the storage unit is updated by the verification terminal, the verification terminal transmits an approval request that requests the selected approval terminals to approve the updated partial block data to which the updated transaction and a hash value of the partial block data before updating are added. The verification terminal executes an update process of the partial block data based on approval results returned from the approval terminals in response to the approval request transmitted by the approval requesting unit.

Abstract: In a verification terminal for verifying properness of an information item composed of a data string, a storage unit stores an own-terminal information item comprised of a data string, and a verification value generation unit generates a hash value of the own-terminal information item stored in the storage unit as an own-terminal hash value. A verification value acquisition unit communicates with at least one other verification terminal that should store an other-terminal information item t to thereby acquire a hash value of the other-terminal information item from the at least one other verification terminal as an other-terminal hash value. The other-terminal information item is conditioned to be identical to the own-terminal information item. A verification execution unit verifies properness of the own-terminal information item in accordance with whether the own-terminal hash value is consistent with the other-terminal hash value.

Abstract: A supply chain management method for managing, using a blockchain, a trading record between traders that form a supply chain includes acquiring (i) first item data recorded on a first storage medium that is physically attached to an incoming item delivered to a first trader of traders and (ii) a node identification data assigned to the first trader. The supply chain management method includes calculating, as second item data, a hash value based on the first item data and the node identification data. The supply chain management method includes physically attaching, to an outgoing item, a second storage medium on which at least the second item data is recorded. The supply chain management method includes delivering the outgoing item to a second trader of the traders along with the attached second storage medium such that the second item data is transferred to the second trader.

Abstract: A verification terminal includes a storage unit that stores partial block data. The partial block data is the latest data that a part of block data for update and addition in chronological order. The verification terminal selects a plurality of approval terminals to approve the partial block data stored in the storage unit. When a transaction included in the partial block data stored in the storage unit is updated by the verification terminal, the verification terminal transmits an approval request that requests the selected approval terminals to approve the updated partial block data to which the updated transaction and a hash value of the partial block data before updating are added. The verification terminal executes an update process of the partial block data based on approval results returned from the approval terminals in response to the approval request transmitted by the approval requesting unit.

Abstract: In a verification terminal for verifying properness of an information item composed of a data string, a storage unit stores an own-terminal information item comprised of a data string, and a verification value generation unit generates a hash value of the own-terminal information item stored in the storage unit as an own-terminal hash value. A verification value acquisition unit communicates with at least one other verification terminal that should store an other-terminal information item t to thereby acquire a hash value of the other-terminal information item from the at least one other verification terminal as an other-terminal hash value. The other-terminal information item is conditioned to be identical to the own-terminal information item. A verification execution unit verifies properness of the own-terminal information item in accordance with whether the own-terminal hash value is consistent with the other-terminal hash value.

Abstract: A performance predicting apparatus includes an approximate model storage unit configured to store approximate models each of which is associated with one of categories, and which are used to calculate functional performance based on feature values, a feature value extracting unit configured to extract the feature values from shape data representing a shape of an object, a selection unit configured to select one of the approximate models to be used from the approximate models stored in the approximate model storage unit depending on the feature values extracted by the feature value extracting unit, and a performance calculating unit configured to calculate functional performance based on the feature values extracted by the feature value extracting unit using the approximate model selected by the selection unit.

Abstract: A brain information output apparatus includes an intention determination information storage unit in which two or more pieces of intention determination information can be stored, with each intention determination information including a pair of an intention identifier, and a learning feature amount group including one or more feature amounts extracted from second learning data that is obtained by converting first learning data into intracerebral brain activity data, the first leaning data being acquired from the outside of the cranium of a user when the user performs a trial according to one intention; a first brain activity data acquiring unit that acquires first brain activity data from the outside of the cranium of a user; a second brain activity data acquiring unit that converts the first brain activity data to intracerebral brain activity data, and acquires second brain activity data; a feature amount group acquiring unit that acquires, from the second brain activity data, an input feature amount group

Abstract: A component for constituting a fuel cell having a gasket molded integrally with an MEA in which molding of the gasket is required once, the MEA requires no through hole and requires a small fastening force when the MEA is compressed. The component comprises the MEA arranged between a pair of separators and compressed when a cell is assembled; a rubber impregnated portion formed by impregnating the outer peripheral portion of the MEA with a gasket molding material, i.e. a part of rubber; a flat gasket portion composed of the rubber molded integrally on the outer circumferential side of the rubber impregnated portion; a lip formed on the flat gasket portion; and a recess as a clearance when the lip is compressed. The portion impregnated with rubber and the flat gasket portion has a thickness (d3) set equal to the thickness (d2) of the MEA when the cell is assembled.

Abstract: In order to prevent decrease of power generation due to a narrow MEA reaction region, an MEA (2) arranged between a pair of separators (5), a rubber sheet (6) arranged on its planar extension at the outer circumferential side of the MEA (2), and a gasket-like lip line (7) formed at the opposite sides of the rubber sheet (6) integrally therewith to closely contact with the separators (5) are provided, a rubber impregnated portion (8) for integrating the rubber sheet (6) with the MEA (2) by impregnation of a part of rubber composing the rubber sheet (6) into the GDL (4) constituting the MEA (2) is provided at the circumferential edge of the MEA (2), and a GDL constricted portion (9) for regulating the rubber impregnated portion is provided at the immediately inner circumferential side of the rubber impregnated portion (8) in the plane of the MEA (2).

Abstract: A performance predicting apparatus includes an approximate model storage unit configured to store approximate models each of which is associated with one of categories, and which are used to calculate functional performance based on feature values, a feature value extracting unit configured to extract the feature values from shape data representing a shape of an object, a selection unit configured to select one of the approximate models to be used from the approximate models stored in the approximate model storage unit depending on the feature values extracted by the feature value extracting unit, and a performance calculating unit configured to calculate functional performance based on the feature values extracted by the feature value extracting unit using the approximate model selected by the selection unit.

Abstract: A real-time simultaneous measurement apparatus includes: a hemoglobin information-receiving portion that sequentially receives hemoglobin information, which is information relating to the amount of hemoglobin in a head portion of a test subject, from a NIRS brain-measuring apparatus that receives a synchronization signal output by a synchronization signal output apparatus and acquires the hemoglobin information when the synchronization signal has been received; a brain wave information-receiving portion that sequentially receives the brain wave information of the test subject, from an EEG brain wave-measuring apparatus that receives a synchronization signal output by the synchronization signal output apparatus and acquires the brain wave information when the synchronization signal has been received; a synchronization processing portion that performs processing that synchronizes the hemoglobin information and the brain wave information; and an output portion that outputs the synchronized hemoglobin information

Abstract: In order to prevent decrease of power generation due to a narrow MEA reaction region, an MEA (2) arranged between a pair of separators (5), a rubber sheet (6) arranged on its planar extension at the outer circumferential side of the MEA (2), and a gasket-like lip line (7) formed at the opposite sides of the rubber sheet (6) integrally therewith to closely contact with the separators (5) are provided, a rubber impregnated portion (8) for integrating the rubber sheet (6) with the MEA (2) by impregnation of a part of rubber composing the rubber sheet (6) into the GDL (4) constituting the MEA (2) is provided at the circumferential edge of the MEA (2), and a GDL constricted portion (9) for regulating the rubber impregnated portion is provided at the immediately inner circumferential side of the rubber impregnated portion (8) in the plane of the MEA (2).

Abstract: A brain information output apparatus includes an intention determination information storage unit in which two or more pieces of intention determination information can be stored, with each intention determination information including a pair of an intention identifier, and a learning feature amount group including one or more feature amounts extracted from second learning data that is obtained by converting first learning data into intracerebral brain activity data, the first leaning data being acquired from the outside of the cranium of a user when the user performs a trial according to one intention; a first brain activity data acquiring unit that acquires first brain activity data from the outside of the cranium of a user; a second brain activity data acquiring unit that converts the first brain activity data to intracerebral brain activity data, and acquires second brain activity data; a feature amount group acquiring unit that acquires, from the second brain activity data, an input feature amount group