Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A demand prediction method using a computer includes calculating an error between a prediction value of an amount of a past demand and a measurement value of the amount of the past demand, the prediction value of the amount of the past demand being calculated by inputting a measurement value of a past explanatory variable to a prediction model that is constructed in accordance with a measurement value of an amount of a demand at a predetermined location and an explanatory variable that serves as an external factor that affects an increase or a decrease in the amount of the demand at the predetermined location, determining whether the calculated error is an abnormal value, acquiring a new explanatory variable if the error is determined to be the abnormal value, updating the prediction model in accordance with the acquired new explanatory variable, and newly predicting an amount of a future demand using the updated prediction model.

Abstract: A dashboard camera acquires video data from a camera that captures the surroundings of a vehicle, acquires sensor data including at least one of acceleration, speed, and angular velocity of the vehicle, gives time information indicating time of acquisition to each of the video data and the sensor data, and transmits the sensor data to a data analysis server when an event occurs in the vehicle, the data analysis server identifies the content of the event occurred in the vehicle based on the sensor data and transmits an identification result to the dashboard camera, and when the identified event is determined to be the predetermined event, the dashboard camera specifies video data to which time information same as the time information given to the sensor data used for the identification is given, and transmits the specified video data to a video accumulation server.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A learning data creation method acquires items of still image data or moving image data as event data and non-event data, presents first data that is still image data or moving image data that is of a predetermined time before an event and included in the event data and still image data or moving image data, presents non-event data as second data, receives a judgment result as to whether the first data and second data are similar, (a) stores the event data as positive data, (b) stores the non-event data as positive data if the first data and second data are similar, and (c) stores the non-event data as negative data if the first data and second data are not similar.

Abstract: An orientation identification method for identifying an orientation of a device installed by being mounted on a moving body includes: obtaining a certain amount of acceleration in three mutually orthogonal directions detected by an acceleration sensor included in the device; and identifying the orientation of the device expressed in a coordinate system from acceleration data indicating the certain amount of acceleration obtained in the obtaining, according to movement characteristics indicated by statistics of acceleration during movement of the moving body expressed in the coordinate system, the coordinate system including a gravitational acceleration direction as an axis.

Abstract: An identification method includes acquiring image data, acquiring a photography condition for the image data, selecting a classifier corresponding to the acquired photography condition from a plurality of classifiers, each of which was created for one of a plurality of different photography conditions, and identifying a target in the acquired image data by using the selected classifier.

Abstract: In an information collection method of the present disclosure, a processor of an information collection system acquires event sensor data and identification information from an on-vehicle terminal or a passenger terminal, the event sensor data being output, in response to an event trigger, from an on-vehicle sensor mounted on the on-vehicle terminal or a passenger sensor mounted on the passenger terminal, the identification information identifying an output source of the event sensor data, identifies the passenger terminal associated with the identification information when the identification information indicates the on-vehicle terminal, identifies the on-vehicle terminal associated with the identification information when the identification information indicates the passenger terminal, requests sensor data from the identified passenger terminal or on-vehicle terminal, acquires the sensor data from a request destination, and stores the event sensor data and the sensor data in association with each other in a

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A parking position identification method includes acquiring input data as an image that is generated by photographing a parking region by a camera which is installed in a target vehicle, and identifying a parking position of the target vehicle in the photographed parking region by inputting the input data to a learning model that indicates a relationship between the parking region which has a width in which parking of at least one vehicle is feasible and a parking position for one vehicle in the parking region.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: A contribution level determination method includes: obtaining, from a first storage device, records of annotation works for each of one or more units of target data for which the annotation works carried out by each of workers that use crowdsourcing have been completed; and calculating work contribution levels for each of worker IDs representing a different one of the workers, in accordance with a predetermined weighting rule stored in a second storage device, by referring to the records. In the calculating of the contribution levels, for each of the one or more units of target data, the work contribution level is calculated using a heavier weight for the worker ID representing a particular worker who carried out the annotation work initially than for the work contribution levels for the worker IDs representing the workers who carried out annotation works after the particular worker, in the order of the annotation works.

Abstract: In an information collection method of the present disclosure, a processor of an information collection system acquires event sensor data and identification information from an on-vehicle terminal or a passenger terminal, the event sensor data being output, in response to an event trigger, from an on-vehicle sensor mounted on the on-vehicle terminal or a passenger sensor mounted on the passenger terminal, the identification information identifying an output source of the event sensor data, identifies the passenger terminal associated with the identification information when the identification information indicates the on-vehicle terminal, identifies the on-vehicle terminal associated with the identification information when the identification information indicates the passenger terminal, requests sensor data from the identified passenger terminal or on-vehicle terminal, acquires the sensor data from a request destination, and stores the event sensor data and the sensor data in association with each other in a

Abstract: A learning data creation method acquires items of still image data or moving image data as event data and non-event data, presents first data that is still image data or moving image data that is of a predetermined time before an event and included in the event data and still image data or moving image data, presents non-event data as second data, receives a judgment result as to whether the first data and second data are similar, (a) stores the event data as positive data, (b) stores the non-event data as positive data if the first data and second data are similar, and (c) stores the non-event data as negative data if the first data and second data are not similar.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: An orientation identification method for identifying an orientation of a device installed by being mounted on a moving body includes: obtaining a certain amount of acceleration in three mutually orthogonal directions detected by an acceleration sensor included in the device; and identifying the orientation of the device expressed in a coordinate system from acceleration data indicating the certain amount of acceleration obtained in the obtaining, according to movement characteristics indicated by statistics of acceleration during movement of the moving body expressed in the coordinate system, the coordinate system including a gravitational acceleration direction as an axis.

Abstract: A program execution device capable of protecting a program against unauthorized analysis and alteration is provided. The program execution device includes an execution unit, a first protection unit, and a second protection unit. The execution unit executes a first program and a second program, and is connected with an external device that is capable of controlling the execution. The first protection unit disconnects the execution unit from the external device while the execution unit is executing the first program. The second protection unit protects the first program while the execution unit is executing the second program.

Abstract: Techniques of simplifying a process of performing an annotation process and constructing learning data by using CG data are provided. A learning data generation device generates scene data for generating learning data from scene data of CG data that include various models. In the generation, the models other than a specific object model are deleted from the scene data, the specific object model is made a specific color, and a specific object region of the specific object model is set. Then, the image for scene data and information of the specific object region are associated with each other and stored as the learning data in a second storage unit.