Abstract: An connection apparatus receives a purchase desire notification including a public key from another connection apparatus via a blockchain network and transmits an encrypted content key acquired by encrypting a content key using the public key to the other connection apparatus via the blockchain network. The other connection apparatus transmits the purchase desire notification to the one connection apparatus and transmits transmission source information representing a transfer destination of the content to the blockchain network. In addition, the other connection apparatus decrypts the encrypted content key from the one connection apparatus using the stored secret key. In a case in which the encrypted content key is received, the blockchain network changes an owner represented in owner management information to the transfer destination.

Abstract: Provided is a manufacture and sales strategy planning method comprising a step of determining, based on information related to a sales plan of a plurality of products and a production capacity of a production facility to produce each product, whether there is any spare capacity in the production capacity of the production facility in relation to the sales plan for each of the products, a step of applying one among a plurality of profit improvement strategies, according to an availability of the spare capacity, to each product determined in this step, and calculating an improvement effect of each product, a step of selecting, based on each calculation result obtained in this step, a specific product among the plurality of products in which the improvement effect has exceeded a set value with regard to each of the plurality of profit improvement strategies, a step of extracting, for each profit improvement strategy, an item which satisfies a restricting condition of sale or production of the specific product se

Abstract: Provided are: an amodal segmentation unit that generates a set of first amodal masks indicating a probability that a particular pixel belongs to a relevant object for each of objects, with respect to an input image in which a plurality of the objects partially overlap; an overlap segmentation unit that generates an overlap mask corresponding only to an overlap region where the plurality of objects overlap in the input image based on an aggregate mask obtained by combining the set of first amodal masks generated for each of the objects and a feature map generated based on the input image; and an amodal mask correction unit that generates and outputs a second amodal mask, which includes an annotation label indicating a category of each of the objects corresponding to a relevant pixel, for each of pixels in the input image using the overlap mask and the aggregate mask.

Abstract: A computer system accurately selects learning data for improving a prediction accuracy of a predictor, and is connected to a database that stores a plurality of pieces of learning data and information for managing a plurality of predictors generated under different learning conditions. A target predictor is selected, an influence degree representing strength of an influence of the learning data on a prediction accuracy of the target predictor for test data is calculated for each of a plurality of pieces of test data, an influence score of the learning data is calculated for the plurality of predictors based on a plurality of influence degrees of the learning data associated with the predictors, and the learning data to be used is selected from the plurality of pieces of learning data on the basis of a plurality of the influence scores of each of the plurality of pieces of learning data.

Abstract: It is provided a federated learning system for aggregating gradient information representing a result of training an AI model in an edge device, the federated learning system comprising the edge device and a server apparatus, the training module in the edge device being configured to generate an edge switch share in which the encrypted aggregated gradient is encrypted, and to transmit the generated edge switch share to the server apparatus, the encryption/decryption module in the server apparatus being configured to generate an encrypted aggregated gradient for decryption by adding edge switch shares received from the plurality of the edge device, generate an aggregated gradient by decrypting the generated encrypted aggregated gradient for decryption, and to transmit the generated aggregated gradient to the edge device, the training module in the edge device being configured to train the AI model by using the aggregated gradient received from the server apparatus.

Abstract: A technique facilitates selecting and designating an arbitrary one of a plurality of aerial lines. The aerial line extraction system, includes: an area-of-interest cropping unit that crops a region where an aerial line is assumed to exist as an area of interest by setting a support of the aerial line as a reference from a three-dimensional point cloud data; an element segmenting unit that segments the area of interest into a plurality of subdivided areas, obtains a histogram by counting three-dimensional point clouds existing in each of the subdivided areas, and obtains a segmentation plane of the area of interest on the basis of the histogram; and an element display unit that segments the area of interest into a plurality of segmented areas by the segmentation plane and displays the three-dimensional point clouds included in each of the segmented areas in a distinguishable manner.

Abstract: An information processing device includes: a server transmitting and receiving unit configured to receive location information indicating a location of a vehicle from an on-board device mounted on the vehicle; and a server control unit configured to when the vehicle is traveling in an area that the vehicle has visited a predetermined number of times or less, extract a facility that faces a first road located within a predetermined range based on the location information and having traffic capacity equal to or larger than a predetermined threshold, wherein the server transmitting and receiving unit is configured to send advertisement information of the facility to the on-board device.

Abstract: A method of simulating codes that form a program configured to control a control target includes causing a processor to execute the following: first-setting a first process of executing a simulation of an operation of a code group excluding a specific code among the codes; second-setting a second process of executing a simulation of an operation of a specific model obtained by modeling the specific code; first-simulating, in the first process, a first simulation of a code preceding the specific code in the code group; second-simulating, in the second process, a second simulation of the specific model through use of an execution result of the first simulation by inter-process communication between the first process and the second process; and third-simulating, in the first process, a third simulation of a code succeeding the specific code through use of an execution result of the second simulation by the inter-process communication.

Abstract: A monitor for monitoring a monitored object comprises: a processor configured to execute a program; a storage device configured to store the program; and a communication interface capable of communicating with the monitored object, wherein the processor is configured to execute: acquisition processing for acquiring threat information indicating association of a plurality of events necessary for an occurrence of a threat; and determination processing for determining, as a collection scheme of a log from the monitored object according to a rule for detecting an attack on the monitored object, either a passive scheme for collecting the log transmitted from the monitored object or an active scheme for collecting from the monitored object the log requested from the monitor to the monitored object.

Abstract: An information processing device includes a control unit configured to execute acquiring a crowding level of a destination store that is a destination of a vehicle in which a user rides, extracting a store with a crowding level lower than the crowding level of the destination store as a predetermined recommended store from among other stores that belong to the same genre as the destination store and that do not belong to the same affiliated group as the destination store when the crowding level of the destination store is higher than a predetermined threshold value, generating a proposal advertisement for proposing to change the destination of the vehicle from the destination store to the predetermined recommended store, and presenting the proposal advertisement to the user who rides in the vehicle via a mobile terminal that moves with the vehicle.

Abstract: A conversion apparatus includes a storage unit storing definition information in which position information and a type of the signal are associated with each other; a decoder referring to, when first reception data is input, the definition information of the first control target to determine a type of a first signal at a first position in the first reception data, and output first input data in which the determined type of the first signal and a value of the first signal in the first reception data are associated with each other; and an encoder referring to the definition information of a second control target to output second input data in which identification information of second computing units that corresponds to the type of the first signal, position information indicating a second position of the first signal, and a value of the first signal are associated with one another.

Abstract: Provided is an aerial line extraction system including: an area-of-interest cropping unit that crops a region where a point cloud data of aerial lines is assumed to exist as an area of interest by setting coordinates of utility poles as a reference from a three-dimensional point cloud data of a three-dimensional shape that includes the aerial lines and trees installed in the air via the utility poles; an aerial line candidate extraction unit that extracts a candidate point cloud data of the aerial lines from the three-dimensional point cloud data in the area of interest; and an aerial line model estimation unit that estimates a model of the aerial lines on the basis of the extracted candidate point cloud data of the aerial lines.

Abstract: Provided is a manufacture and sales strategy planning method comprising a step of determining, based on information related to a sales plan of a plurality of products and a production capacity of a production facility to produce each product, whether there is any spare capacity in the production capacity of the production facility in relation to the sales plan for each of the products, a step of applying one among a plurality of profit improvement strategies, according to an availability of the spare capacity, to each product determined in this step, and calculating an improvement effect of each product, a step of selecting, based on each calculation result obtained in this step, a specific product among the plurality of products in which the improvement effect has exceeded a set value with regard to each of the plurality of profit improvement strategies, a step of extracting, for each profit improvement strategy, an item which satisfies a restricting condition of sale or production of the specific product se

Abstract: Information on an area specified as having an article is acquired, synthesis is performed with X-ray transmission amounts acquired by a plurality of sensors in the same area (for example, the same background and the same luggage), and material information is estimated from the X-ray transmission amount synthesized again to generate a color image. As a synthesis target, for example, combination information of articles accumulated during operation is used, and articles having many combinations are used as combination of articles included in the same luggage. A color image generated by synthesis is used as learning data.

Abstract: Provided are: an amodal segmentation unit that generates a set of first amodal masks indicating a probability that a particular pixel belongs to a relevant object for each of objects, with respect to an input image in which a plurality of the objects partially overlap; an overlap segmentation unit that generates an overlap mask corresponding only to an overlap region where the plurality of objects overlap in the input image based on an aggregate mask obtained by combining the set of first amodal masks generated for each of the objects and a feature map generated based on the input image; and an amodal mask correction unit that generates and outputs a second amodal mask, which includes an annotation label indicating a category of each of the objects corresponding to a relevant pixel, for each of pixels in the input image using the overlap mask and the aggregate mask.

Abstract: A technique facilitates selecting and designating an arbitrary one of a plurality of aerial lines. The aerial line extraction system, includes: an area-of-interest cropping unit that crops a region where an aerial line is assumed to exist as an area of interest by setting a support of the aerial line as a reference from a three-dimensional point cloud data; an element segmenting unit that segments the area of interest into a plurality of subdivided areas, obtains a histogram by counting three-dimensional point clouds existing in each of the subdivided areas, and obtains a segmentation plane of the area of interest on the basis of the histogram; and an element display unit that segments the area of interest into a plurality of segmented areas by the segmentation plane and displays the three-dimensional point clouds included in each of the segmented areas in a distinguishable manner.

Abstract: Provided is an aerial line extraction system including: an area-of-interest cropping unit that crops a region where a point cloud data of aerial lines is assumed to exist as an area of interest by setting coordinates of utility poles as a reference from a three-dimensional point cloud data of a three-dimensional shape that includes the aerial lines and trees installed in the air via the utility poles; an aerial line candidate extraction unit that extracts a candidate point cloud data of the aerial lines from the three-dimensional point cloud data in the area of interest; and an aerial line model estimation unit that estimates a model of the aerial lines on the basis of the extracted candidate point cloud data of the aerial lines.

Abstract: A forklift which carries a cargo is includes a machine learning apparatus which executes a procedure of: accepting input of learning data of a first category group and evaluation data of a second category group; extracting the learning data of at least one category from the first category group and calculating parameters of the estimation models for controlling the forklift by using the extracted learning data; extracting the evaluation data of at least one category from the second category group and evaluating the estimation models, for which the parameters are calculated, by using the extracted evaluation data; and outputting an estimation model M whose data evaluation result is equal to or larger than a specified threshold value, from among the estimation models for which the parameters are calculated, and a category of the evaluation data used for the evaluation of the estimation model M.

Abstract: A client device accepts event information for which a people flow prediction is to be performed from a user and the client device inputs the accepted event information to a people flow prediction device. The people flow prediction device outputs a result of people flow prediction responsive to the input event information to the client device and the client device displays the result of people flow prediction to the user. The people flow prediction device performs a people flow prediction by temporally and spatially allocating an event attendance which has been input from the client device to pathways, each connecting a transport facility at which a people flow originates and an event site. Consequently, it is possible to predict a flow of people who attend an event or the like, the people flow differing from that in an ordinary situation, without need to input real-time data.

Abstract: Provided is an information leakage prevention technique which does not require a dedicated device for access management on a network, and which offers excellent security policy flexibility. An information leakage prevention system comprises: a client terminal including a client processing unit which performs network control in accordance with an acquired security policy; and a management server including a user database in which information concerning a user of the client terminal is stored, a security policy database in which a security policy defining a network control content for each attribute of the user is stored, and a server processing unit which selects the security policy on the basis of the attribute of the user and a time of delivery of the security policy, and which transmits the selected security policy to the corresponding client terminal.