Abstract: A processing system includes a conveyance path including a plurality of conveyance modules configured to convey a carriage, the plurality of conveyance modules being disposed to convey the carriage to a plurality of positions, a processing apparatus configured to perform processing on a work mounted on the carriage, and a control unit configured to control the plurality of conveyance modules and the processing apparatus, wherein the control unit is configured to, in performing the processing on the work at the plurality of positions by the processing apparatus, move the work to the plurality of positions by moving the carriage using the conveyance modules.

Abstract: An embodiment includes: a first transport module on which a carriage moves; a second transport module that is configured to be able to move to a position for connecting to the first transport module and on which the carriage is able to move to and from the first transport module; a position detection unit that detects a position in a moving direction of the second transport module and outputs position information; a first control unit that controls motion of the carriage on the first transport module; a second control unit that controls motion of the carriage on the second transport module; a third control unit that controls motion of the second transport module; and a fourth control unit that controls the first to third control units. The fourth control unit corrects a position where the second transport module connects to the first transport module based on the position information.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically assessing damage vulnerability of a property include accessing digital images of a property parcel having a first structure thereon, classifying features visible in the images, including at least one feature of the first structure and at least one feature present in a neighborhood of the property parcel, to determine at least one of characteristic of each feature, determining a spatial relationship between a first structure and each manmade and/or natural feature represented by the classified features, and applying a property loss risk profile, based at least in part on the determined characteristics and the determined spatial relationships, to calculate a risk estimate for the first structure under at least one risk scenario.

Abstract: In an illustrative embodiment, methods and systems for automatically assessing damage vulnerability of a property include accessing digital images of a property parcel having a first structure thereon, classifying features visible in the images, including at least one feature of the first structure and at least one feature present in a neighborhood of the property parcel, to determine at least one characteristic of each feature, determining a spatial relationship between a first structure and each manmade and/or natural feature represented by the classified features, and applying a property loss risk profile, based at least in part on the determined characteristics and the determined spatial relationships, to calculate a risk estimate for the first structure under at least one risk scenario.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In one aspect, classifying features and feature conditions of a property represented in digital imagery includes training a characteristic classifier for applying multilayer artificial perception to classifying features represented in a property image into feature classifications, training a condition classifier for applying multilayer artificial perception to classifying a condition of each feature into one of a set of condition qualifiers, accessing digital image(s) of a property, and applying a machine learning analysis model including the characteristic classifier and the condition classifier to the digital image(s) to identify, for each feature represented in the image(s), a feature classification and a condition qualifier.

Abstract: In one aspect, classifying features and feature conditions of a property represented in digital imagery includes training a characteristic classifier for applying multilayer artificial perception to classifying features represented in a property image into feature classifications, training a condition classifier for applying multilayer artificial perception to classifying a condition of each feature into one of a set of condition qualifiers, accessing digital image(s) of a property, and applying a machine learning analysis model including the characteristic classifier and the condition classifier to the digital image(s) to identify, for each feature represented in the image(s), a feature classification and a condition qualifier.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically assessing features of a property location may include applying first machine learning analysis to at least one image to determine a set of characteristics of the property features, and applying second machine learning analysis to the at least one image to classify a condition of each property feature.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a repair condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification. The methods and systems may further include determining, using the property characteristic classification and the condition classification, a risk estimate of damage to the property due to one or more disasters and/or a cost estimate of repair or replacement of the property characteristic.

Abstract: In an illustrative embodiment, methods and systems for automatically categorizing a repair condition of a property characteristic may include obtaining aerial imagery of a geographic region including the property, identifying features of the aerial imagery corresponding to the property characteristic, analyzing the features to determine a property characteristic classification, and analyzing a region of the aerial imagery including the property characteristic to determine a condition classification. The methods and systems may further include determining, using the property characteristic classification and the condition classification, a risk estimate of damage to the property due to one or more disasters and/or a cost estimate of repair or replacement of the property characteristic.

Abstract: The present invention relates to a water softening device including: a resin chamber which has an ion exchange resin and softens hard water passing through the ion exchange resin; and electrodes which are arranged by placing the resin chamber therebetween and apply voltages to the resin chamber so as to soften the hard water, and which regenerates the ion exchange resin, wherein the ion exchange resin is a slightly acidic cation exchange resin and/or a weakly alkaline anion exchange resin. The present invention provides the water softening device capable of easily regenerating the ion exchange resin and repeating the softening-regenerating without using chemicals or the like while maintaining the performance of softening water, thereby enabling a continuous use thereof.

Abstract: An information processing apparatus includes, a processor configured to execute a process including, determining whether a relationship between biometric information acquired from a living body and biometric information stored in a storage unit satisfies a predetermined standard, creating first authentication information by detecting predetermined operation when the relationship between the biometric information acquired from the living body and the biometric information stored in the storage unit does not satisfy the predetermined standard, comparing the first authentication information and second authentication information stored in the storage unit, and activating the information processing apparatus when the first authentication information and the second authentication information match.