Abstract: A first exemplary embodiment of the present invention is a door lock control apparatus (10) including an on-site image acquisition unit (11) that acquires an on-site image generated by a camera for capturing a site where a reserved vehicle is present, an on-site sensing unit (12) that senses that a reserving person is present on the site, based on the on-site image, and a release command output unit (13) that outputs, when it is sensed that the reserving person is present on the site, a command of releasing a door lock of the reserved vehicle.

Abstract: A dangerous scene prediction device 80 for predicting a dangerous scene occurring during driving of a vehicle includes a learning model selection/synthesis unit 81 and a dangerous scene prediction unit 82. The learning model selection/synthesis unit 81 selects, from two or more learning models, a learning model used for predicting the dangerous scene, depending on a scene determined based on information obtained during the driving of the vehicle. The dangerous scene prediction unit 82 predicts the dangerous scene occurring during the driving of the vehicle, using the selected learning model.

Abstract: A first exemplary embodiment of the present invention is a door lock control apparatus (10) including an on-site image acquisition unit (11) that acquires an on-site image generated by a camera for capturing a site where a reserved vehicle is present, an on-site sensing unit (12) that senses that a reserving person is present on the site, based on the on-site image, and a release command output unit (13) that outputs, when it is sensed that the reserving person is present on the site, a command of releasing a door lock of the reserved vehicle.

Abstract: An object recognition system 80 includes: a recognition device 30 that recognizes an object in an image; and a server 40 that generates a learning model. The recognition device 30 includes: a first object recognition unit 310 that determines a type of the object in the image using the learning model; and an image transmission unit 320 that transmits a type-indeterminable image, which is an image in which the type has not been determined, to the server 40 when an object included in the type-indeterminable image is an object detected as a three-dimensional object. The server 40 includes: a learning device 410 that generates the learning model based on training data in which a teacher label is assigned to the type-indeterminable image; and a learning model transmission unit 420 that transmits the generated learning model to the recognition device 30. The first object recognition unit 310 determines the type of the object in the image using the transmitted learning model.

Abstract: An image generation apparatus (20) includes an acquisition unit (210) and a data processing unit (220). The acquisition unit (210) repeatedly acquires analysis data from at least one sending apparatus (10). The analysis data include at least type data and relative position data. The data processing unit (220) generates, each time analysis data are acquired, a reconfigured image by using the analysis data, and causes a display (230) to display the reconfigured image. Further, the data processing unit (220) requests the sending apparatus (10) for a captured image, when a criterion is satisfied.

Abstract: An object recognition device 80 includes a scene determination unit 81, a learning-model selection unit 82, and an object recognition unit 83. The scene determination unit 81 determines, based on information obtained during driving of a vehicle, a scene of the vehicle. The learning-model selection unit 82 selects, in accordance with the determined scene, a learning model to be used for object recognition from two or more learning models. The object recognition unit 83 recognizes, using the selected learning model, an object in an image to be photographed during driving of the vehicle.

Abstract: A first exemplary embodiment of the present invention is a door lock control apparatus (10) including an on-site image acquisition unit (11) that acquires an on-site image generated by a camera for capturing a site where a reserved vehicle is present, an on-site sensing unit (12) that senses that a reserving person is present on the site, based on the on-site image, and a release command output unit (13) that outputs, when it is sensed that the reserving person is present on the site, a command of releasing a door lock of the reserved vehicle.

Abstract: A dangerous scene prediction device 80 for predicting a dangerous scene occurring during driving of a vehicle includes a learning model selection/synthesis unit 81 and a dangerous scene prediction unit 82. The learning model selection/synthesis unit 81 selects, from two or more learning models, a learning model used for predicting the dangerous scene, depending on a scene determined based on information obtained during the driving of the vehicle. The dangerous scene prediction unit 82 predicts the dangerous scene occurring during the driving of the vehicle, using the selected learning model.

Abstract: An object recognition device 80 includes a scene determination unit 81, a learning-model selection unit 82, and an object recognition unit 83. The scene determination unit 81 determines, based on information obtained during driving of a vehicle, a scene of the vehicle. The learning-model selection unit 82 selects, in accordance with the determined scene, a learning model to be used for object recognition from two or more learning models. The object recognition unit 83 recognizes, using the selected learning model, an object in an image to be photographed during driving of the vehicle.

Abstract: An object recognition system 80 includes: a recognition device 30 that recognizes an object in an image; and a server 40 that generates a learning model. The recognition device 30 includes: a first object recognition unit 310 that determines a type of the object in the image using the learning model; and an image transmission unit 320 that transmits a type-indeterminable image, which is an image in which the type has not been determined, to the server 40 when an object included in the type-indeterminable image is an object detected as a three-dimensional object. The server 40 includes: a learning device 410 that generates the learning model based on training data in which a teacher label is assigned to the type-indeterminable image; and a learning model transmission unit 420 that transmits the generated learning model to the recognition device 30. The first object recognition unit 310 determines the type of the object in the image using the transmitted learning model.

Abstract: A device control middleware 130 in a mobile terminal 10 converts ability information and input information (for example, pressing of a key) of various input devices of the mobile terminal 10 into an analyzable form, and transmits the converted information to a PC 20. A virtual device middleware 230 in the PC 20 analyzes the information received from the device control middleware 130 and supplies the information extracted by the analysis as input information of a JAVA application 250.

Abstract: A device control middleware 130 in a mobile terminal 10 converts ability information and input information (for example, pressing of a key) of various input devices of the mobile terminal 10 into an analyzable form, and transmits the converted information to a PC 20. A virtual device middleware 230 in the PC 20 analyzes the information received from the device control middleware 130 and supplies the information extracted by the analysis as input information of a JAVA application 250.

Abstract: An e-mail reception control system is provided for improving a convenience during international roaming and reducing unnecessary communication charges. The e-mail reception control system includes an e-mail reception control system including a mobile terminal which transmits filter information which is set in an own terminal and is referred to for determining whether to permit or reject a reception of an e-mail to a server in response to detecting international roaming and a server which controls a distribution of the e-mail to the mobile terminal based on the filter information.

Abstract: An e-mail reception control system is provided for improving a convenience during international roaming and reducing unnecessary communication charges. The e-mail reception control system includes an e-mail reception control system including a mobile terminal which transmits filter information which is set in an own terminal and is referred to for determining whether to permit or reject a reception of an e-mail to a server in response to detecting international roaming and a server which controls a distribution of the e-mail to the mobile terminal based on the filter information.

Abstract: An information processing server includes a server storage device in which plural objects are stored. Each object includes the unique information and the URL for accessing to an information processing server for updating. A mobile terminal transmits an install request including an install list. In the install list, the information unique to an object, as needed for installation, among plural objects, and the URL, are stated by the mobile terminal. The information processing server refers to the install list to select objects to be transmitted, from the plural objects stored in a server storage device, and transmits the selected object to the mobile terminal. Thus, the user only has to select the URL and the information unique to the needed object, as an object desired to be actually used, with the aid of the mobile terminal.

Abstract: A system for providing a particular voice to a received e-mail includes a portable terminal and a server. The portable terminal attaches a voice sampling name to the text data and transmits it to a server. The server receives the text data and the voice sampling name from the portable terminal, converts the received text data into voice synthesis data by using voice sampling data corresponding to the voice sampling name, and transmits the voice synthesis data to the portable terminal.

Abstract: A backup method of applications of a portable cellular phone is provided which is capable of preventing the applications from being copied by a person being not an owner of the portable cellular phone. The application of the portable cellular phone to be backed up is saved in the backup device and, when the application saved in the backup device is used as backup data for the portable cellular phone, a manufacture serial number and/or a phone number of the portable cellular phone are compared and, only when these numbers match each other, the application for the backup is copied in the portable cellular phone.

Abstract: A character inputting method for a handy phone or similar terminal unit uses a first and a second button capable of being pressed or shifted independently of each other. The user of the terminal unit operates the first button and/or second button to scroll characters appearing on a display either in the forward direction or in the backward direction, selects desired one of the characters, and fixes it. When the user presses the two buttons at the same time, the existing one of the vertical and horizontal scroll directions is replaced with the other direction. The user selects the desired character by the forward or backward scroll and then shifts the first or the second button to fix the character. A device for practicing the character inputting method is also disclosed.

Abstract: A client terminal, which is specifically a mobile terminal, receives shared data from a server terminal and issues a request for receiving the data. The shared data in the server terminal can be obtained by the client terminal, and the shared data can be regarded as data virtually held in the client terminal. The server terminal releases shared data to the client terminal and functions as hardware of any type (including a mobile terminal) having a radio communication unit. In this way, by sharing data, a mobile terminal data memory sharing system, in which a data area in a mobile terminal can be effectively used, can be obtained.

Abstract: An information processing server includes a server storage device in which plural objects are stored. Each object includes the unique information and the URL for accessing to an information processing server for updating. A mobile terminal transmits an install request including an install list. In the install list, the information unique to an object, as needed for installation, among plural objects, and the URL, are stated by the mobile terminal. The information processing server refers to the install list to select objects to be transmitted, from the plural objects stored in a server storage device, and transmits the selected object to the mobile terminal. Thus, the user only has to select the URL and the information unique to the needed object, as an object desired to be actually used, with the aid of the mobile terminal.