An on-board signage system includes one or more vehicles, a display device installed in each of the vehicles, and a signage controller, in which the signage controller is configured to function as a post collecting unit that collects a post content item uploaded to an SNS site, a post analyzing unit which extracts a location relating to the post content item as a relevant location, a post database that stores post-related information obtained from the post content item in association with the relevant location, and a selector that selects at least one of a travel route of the vehicle and an image to be assigned to the vehicle, based on information stored in the post database, and transmits the selected travel route or image to the vehicle.

Methods and systems for autonomous and semi-autonomous vehicle control, routing, and automatic feature adjustment are disclosed. Sensors associated with autonomous operation features may be utilized to search an area for missing persons, stolen vehicles, or similar persons or items of interest. Sensor data associated with the features may be automatically collected and analyzed to passively search for missing persons or vehicles without vehicle operator involvement. Search criteria may be determined by a remote server and communicated to a plurality of vehicles within a search area. In response to which, sensor data may be collected and analyzed by the vehicles. When sensor data generated by a vehicle matches the search criteria, the vehicle may communicate the information to the remote server.

Provided are an inundation damage determination device, an inundation damage determination method, and a program for determining inundation damage of a house without disposing a sensor in advance or visiting an inundated site. An image including a water surface is acquired, a reference object, which is a reference for a height, is detected from the image, a total length and a position of the reference object are acquired, a length above the water surface of the reference object in the image is measured, and a water level of the water surface is measured from a difference between the total length of the reference object and the length above the water surface of the reference object, the water level of the water surface and the position of the reference object are stored in association with each other, a position of a house, which is a target of an inundation damage determination, is acquired, an inundation water level of the house is decided from the position associated with the water level of the water surface and the position of the house, and a degree of damage of the house from the inundation water level is determined.

A peer-to-peer system for providing egress guidance. Each of a plurality of egress advisement devices can receive an indication of an emergency in a building and user presence information, transmit to a cloud data store a request for one or more egress plans, receive from the cloud data store a subset of the egress plans that are identified by matching a location identifier for each of the subset of the plans with the location information of the egress advisement device, locally select one of the subset of the plans that is customized for a location of the egress advisement device, a current location of users in the building in proximity to the egress advisement device, and a location of the emergency, and output the selected plan to guide one or more of the users in proximity to the egress advisement device to exit the building.

Systems and methods of assessing climate transition risk. A computing system receives a user indication of a selected climate change scenario from a remote client device. The system identifies one or more energy factors from among energy sources. The system retrieves historical financial information directed to one or more securities from remote financial data sources. The system predicts one or more future returns for the securities, by applying the historical financial data and the energy factors to at least one hierarchical linear model. The system adjusts the predicted future returns based on a first climate scenario and the selected climate scenario, to form respective first and second adjusted returns. The system generates a climate transition risk for the securities based on a spread between the first adjusted returns and the second adjusted returns. The system provides a data set representing the climate transition risk to the remote client device.

A parallel flooding topology repair method performed by a node for repairing a flooding topology. The parallel flooding topology repair method detects a failed link and/or a failed node on a flooding topology, determines whether the failed link and/or failed node results in a flooding topology split, and repair the flooding topology by performing a local flooding topology repair process when the flooding topology is split.

Methods, systems, and computer programs are presented for determining flood levels within a region. One method includes an operation for detecting an alert generated by one of a riverine, a coastal, or an urban model. Further, the method includes operations for selecting one or more regions for estimating flood data based on the detected alert, and for calculating, by an inundation model, region flood data for each of the selected regions based on outputs from the riverine model, the coastal model, and the urban model. Additionally, the method includes an operation for combining the region flood data for the selected one or more regions to obtain combined flood data. The combined flood data is presented on a user interface, such as on a flood inundation map.

Systems, architectures, and approaches for use with neural networks. An execution block and a system architecture using a novel execution block are disclosed along with how such an execution block can be used. The execution block uses a fully connected stack of layers and parameters of this fully connected stack of layers are shared. The fully connected nature of the block and on-the-fly generated parameters allow for bypassing specialized training data sets. The system may be trained using non-task-specific training data sets and this allows the system to transfer what is learned to execute a different task. Thus, instead of having to obtain a specialized training data set for a specific task, a more generic training data set can be used to train and prepare the system for that specific task. Results have shown that performance is as good as than the state of the art in providing solutions.

Methods, systems, and computer programs are presented for a flood-recovery analysis tool. One method includes operations for accessing weather information for a geographical region divided into cells and for generating runoff data based on the weather information. The runoff data includes a predicted amount of free-running water on a surface of each cell of the region. Further, the method includes operations for generating a prediction of inflow and outflow of water between cells, and for calculating, for a plurality of sub-cells of each cell in the geographical region, a predicted water depth in each sub-cell based on the prediction of the inflow and outflow between cells and a hydraulic model. Additionally, the method includes operations for generating a flood inundation map showing the predicted water depth at each sub-cell in the geographical region, and for causing presentation of the flood inundation map in a user interface of a display device.

A flood detection device includes a detection result acquisition section, a weather information acquisition section and an identification section. The detection result acquisition section acquires a detection result that, on the basis of a plurality of kinds of running state data relating to running of a vehicle, detects flooding of a road on which the vehicle is running. The weather information acquisition section acquires weather information including at least one of rainfall information representing a measured rainfall amount in a region in which the vehicle is running or rainfall estimation information representing an estimated rainfall amount. The identification section uses the respective acquisition results of the detection result acquisition section and the weather information acquisition section to identify flooding of the road.