Abstract: A control device includes a processor and a memory coupled to or integrated with the processor and controls an information processing apparatus, in which the processor is configured to simultaneously display, in an operation screen, a selection list of tasks for selecting a task to be executed by the information processing apparatus and a slide button as an execution button for instructing execution of the selected task, and once an operation of instructing execution of the task by the slide button is detected, performs control to change the slide button to a cancel button for canceling the task that is being executed.

Abstract: A timepiece includes a case including a protrusion protruding inward from an inner wall, a crown including a shaft passing through the side surface of the case, a head provided at one end of the shaft, and a drive wheel provided at the other end opposite from the one end of the shaft, an internal rotary ring provided in a position where the internal rotary ring overlaps with the protrusion in the plan view and having teeth that engage with the drive wheel, and elastic members disposed between the protrusion and the internal rotary ring and each including a convex section that engages with the teeth.

Abstract: A control device includes a processor that controls display of a task selection screen which is a task selection screen for selecting one task item from a plurality of task items and in which a priority list, which is a list of preset task items, and a history list, which includes histories of task items executed in the past, are displayed in parallel, in which the processor is configured to integrally scroll through the priority list and the history list in a case in which a scrolling operation has been performed for the priority list or the history list.

Abstract: The area recognition image generation means 81 generates an area recognition image including a road area from an area recognition image which is a captured image of the front of a vehicle. The overhead view image generation means 82 generates a first overhead view image obtained by converting the generated area recognition image into an overhead view image. The line position estimation means 83 estimates a position of line marked on a road surface from the road area identified by the generated first overhead view image, based on a principle of lane boundaries.

Abstract: A control device includes a processor that controls display of a task selection screen which is a task selection screen for selecting one task item from a plurality of task items and in which a priority list, which is a list of preset task items, and a history list, which includes histories of task items executed in the past, are displayed in parallel, in which the processor is configured to integrally scroll through the priority list and the history list in a case in which a scrolling operation has been performed for the priority list or the history list.

Abstract: A control device includes a processor and a memory coupled to or integrated with the processor and controls an information processing apparatus, in which the processor is configured to simultaneously display, in an operation screen, a selection list of tasks for selecting a task to be executed by the information processing apparatus and a slide button as an execution button for instructing execution of the selected task, and once an operation of instructing execution of the task by the slide button is detected, performs control to change the slide button to a cancel button for canceling the task that is being executed.

Abstract: Captured images generated by repeated image capture over time by an image capture device provided on a moving body are acquired, and for each pixel in each of said captured images, a probability indicating to which of multiple different area classes, which have been designated regarding multiple targets appearing in the captured images, the pixel belongs is calculated. Among divisional areas obtained by multiply dividing the captured images in a horizontal direction, a divisional area in which a clarity of a prescribed target among the multiple targets is high, where the probability of belonging to the area class of the prescribed target is equal to or higher than a threshold value, is identified. A clear image is generated by combining the divisional areas in which a display clarity regarding the prescribed target in the captured images is high.

Abstract: Among multiple different area classes designated regarding objects appearing in a captured image that has been acquired, to which area class each pixel in the captured image belongs is recognized. An unrecognized-class area not belonging to any of the multiple area classes in an area in the captured image representing a prescribed area class among the multiple different area classes is identified as an area-of-interest candidate. A determination is made regarding whether the area-of-interest candidate is a prescribed desired area.

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 object recognition unit recognizes an object included in an image captured by a camera mounted on a vehicle. A first distance estimation unit estimates a distance between the vehicle and the recognized object based on the image. A second distance estimation unit estimates the distance between the vehicle and the recognized object based on the image by using an estimation method different from that of the first distance estimation unit. A combining unit combines a result of estimating the distance obtained by the first distance estimation unit and a result of estimating the distance obtained by the second distance estimation unit based on at least one of an amount of change in the distance estimated by the second distance estimation unit, a steering wheel angle of the vehicle, and information about an acceleration in an up-down direction, and outputs a result of the combination as a ranging result.

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 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 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 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 analyzing system, data processing apparatus, and application program are provided that can display the measurement results and/or analysis results of a plurality of different types of measuring apparatuses on a user interface that is easily comprehended by the user. The data processing apparatus is capable of displaying on a screen the measurement results and analysis results of a plurality of measuring apparatuses that perform mutually different kinds of measurements of specimens. A plurality of measurement item group switching buttons are provided on the display screen, and specimen information tables that correspond to each measurement item can be displayed by a user clicking on the buttons.

Abstract: A measurement information display method includes: generating measurement information of a sample according to progress of measurement of the sample by a measurement unit for measuring the sample, and accumulating the measurement information in a storage part, the measurement information including state information indicating a state of the measurement by the measurement unit; accepting extracting information including an extracting condition regarding the state of measurement of the sample used in extracting the accumulated measurement information, and storing the extracting information in a memory; accepting a selection of the extracting information stored in the memory; extracting the measurement information from the accumulated measurement information according to the selected extracting information; and displaying the extracted measurement information.

Abstract: A setting method relating to measurement of measuring apparatus that minimizes the modification locations in an application program when the setting functions are modified, analyzing system, data processing apparatus, and storage medium are provided. When an application program is executed, setting data are processed to setting item data, setting parameter data, and setting value data. A data tree is generated in which setting item data are the root nodes, setting parameter data are the intermediate nodes, and setting value data are the leaf nodes, and the settings of the application program and measuring apparatus are accomplished using this data tree.

Abstract: An analyzing system, data processing apparatus, and storage medium capable of reducing the complex labor of a technician related to the setting operations of a measuring apparatus. The analysis system is provided with a plurality of measuring apparatuses that perform mutually different measurements of specimens, and a data processing apparatus for analysis processing of the measurement results of the plurality of measuring apparatuses. The data processing apparatus is capable of performing various analysis processes of a plurality of types of measurement results variously obtained from a plurality of measuring apparatuses, and is capable of integratedly managing the measurement results of the plurality of measuring apparatuses and their analysis results.

Abstract: A measurement information display method includes: generating measurement information of a sample according to progress of measurement of the sample by a measurement unit for measuring the sample, and accumulating the measurement information in a storage part, the measurement information including state information indicating a state of the measurement by the measurement unit; accepting extracting information including an extracting condition regarding the state of measurement of the sample used in extracting the accumulated measurement information, and storing the extracting information in a memory; accepting a selection of the extracting information stored in the memory; extracting the measurement information from the accumulated measurement information according to the selected extracting information; and displaying the extracted measurement information.

Abstract: An analyzing method of a blood coagulation reaction by detecting an optical change of a blood sample with an elapse of time, the method includes: setting at least one checkpoint or check region between a starting point of the blood coagulation reaction and the endpoint thereof; and monitoring a reaction state of the blood coagulation reaction at the checkpoint or in the check region to detect an abnormality of the blood coagulation reaction.