A method of embodying an online media service having a multiple voice system includes a first operation of collecting preset online articles and content from a specific media site and displaying the online articles and content on a screen of a personal terminal, a second operation of inputting a voice of a subscriber or setting a voice of a specific person among voices that are pre-stored in a database, a third operation of recognizing and classifying the online articles and content, a fourth operation of converting the classified online articles and content into speech, and a fifth operation of outputting the online articles and content using the voice of the subscriber or the specific person, which is set in the second operation.

Disclosed is a method for using a virtual representation of an indoor environment to identify contents that have been damaged (e.g., by flooding). A virtual representation of a physical scene of an indoor environment is processed to identify a list of contents in the physical scene. The virtual representation may include 2-dimensional representations of the physical scene (e.g., images or video) or a 3-dimensional representation of the physical scene (e.g., 3D digital model). A reference line is determined in the virtual representation that is indicative of a maximum vertical extent of the damage in the physical scene. The position of the reference line is compared with the position of the identified contents in the virtual representation to determine contents that are likely to be damaged. For example, the contents that are at or below a plane represented by the reference line in the virtual representation may be identified as damaged.

A method for flood disaster monitoring and disaster analysis based on vision transformer is provided. It includes: step (1), constructing a bi-temporal image change detection model based on vision transformer; step (2), selecting bi-temporal remote sensing images to make flood disaster labels; and step (3), performing flood monitoring and disaster analysis according to the bi-temporal image change detection model constructed in the step (1). In combination with the bi-temporal image change detection model based on an advanced vision transformer in deep learning and radar data which is not affected by time and weather and has strong penetration ability, data when floods occur can be obtained and recognition accuracy is improved.

A non-transitory computer-readable recording medium stores an information collection program for causing a computer to execute processing including: starting, in response to reception of an instruction to start a conversation in a chatbot for disaster from an information processing terminal, a conversation in the chatbot to the information processing terminal; and transmitting, in a case where a captured image is received in the conversation, disaster information that includes the captured image to a disaster countermeasure system on the basis of content of a conversation before the reception of the captured image.

A system for electronically automating risk selection, rating, disaggregation, and assignment is provided. The system includes Quoting System interface software that generates graphical user interfaces that are output to a display screen of an end user computing device and that accept data relating to a risk subject to be analyzed and assigned. The risk subject data is used by a Triton software engine that interfaces with supplemental risk subject data application programming interfaces (API) to secure supplemental risk subject data relevant to analyzing and assigning the risk subject. The Triton software engine performs a risk selection analysis, a risk rating analysis, a disaggregation analysis, and a capacity analysis to quantify the risk presented by the risk subject and to determine a set of qualified facilities capable of accepting assignment of the risk subject. The Triton software engine evenly assigns the risk subjects to facilities using a market assignment process.

Disclosed is a method for calculating grading and staged drought limited storage capacity of cascade reservoirs in different stages of drought, including: obtaining a characteristic storage capacity of an aggregated reservoir after aggregation and generalization according to a characteristic storage capacity of single reservoirs; determining a stage of drought early warning of the aggregated reservoir; calculating the water inflow of the aggregated reservoir after aggregation and generalization by superposition according to the water inflow of the single reservoirs; calculating a design water supply of the aggregated and generalized reservoir by superimposing the design water supply of single reservoirs; grading drought limited storage capacities into a drought warning storage capacity and a drought guaranteed storage capacity, and setting water supply coefficients for the graded drought limited storage capacities to realize drought early warning and water supply limit; and comprehensively calculating the drought limited storage capacities of the aggregated and generalized reservoir as drought limited storage capacity of the cascade reservoirs.

A runoff yield calculation method and device based on double free reservoirs, and a storage medium are provided, the method includes: forming a four-layer vadose zone structure by making a tension water storage layer be located under a deep vadose zone based on a three-layer vadose zone structure of a Xin'anjiang model; dividing a space occupied by free water in the four-layer vadose zone structure into an upper free reservoir and a lower free reservoir; calculating a time interval runoff yield by using a saturation excess runoff method; and dividing, based on a runoff yield structure of the double free reservoirs, the time interval runoff yield into a surface runoff, an interflow and a subsurface runoff. The method proposes a runoff yield structure of double free reservoirs, which can be well applied to semi-arid and semi humid watersheds with deeper buried depth of shallow groundwater.

A remote monitoring method based on information fusion and virtual reality for marine engine room is disclosed, which comprises five steps: information acquisition; data analysis; feature extraction; data transmission; 3D scenes establishment. This method can monitor not only the conventional working parameters of main equipment in marine engine room, but also static pictures, infrared thermograms, vibration & noise signals, which can monitor accidents in engine room and enhance operators' awareness of autonomous ships; 3D interactive scenes of marine engine room are built and displayed through visual interfaces, which can make up for the lack of operators' attendance in future unmanned ships.

The invention includes a method that accesses map data for a region and for a set of flood risk factors. The map data is transformed to a common data schema. The transformed map data is subdivided into a set of sub-regions. For each sub-region, a set of flood risk factor scores is determined based on the transformed map data. The set of flood risk factor scores corresponds to the set of flood risk factors. For each sub-region, a composite flood risk score is determined. Determining the composite flood risk score for the sub-region is based on a combination of flood risk factor scores included in the set flood risk factor scores corresponding to the sub-region. A flood risk report is generated for the region. The flood risk report is based on the set of flood risk factor scores and the composite flood risk score corresponding to each of the sub-regions.

Methods and systems for autonomous vehicle recharging or refueling are disclosed. Autonomous vehicles may be automatically refueled by routing the vehicles to available fueling stations when not in operation, according to methods described herein. A fuel level within a tank of an autonomous vehicle may be monitored until it reaches a refueling threshold, at which point an on-board computer may generate a predicted use profile for the vehicle. Based upon the predicted use profile, a time and location for the vehicle to refuel the vehicle may be determined. In some embodiments, the vehicle may be controlled to automatically travel to a fueling station, refill a fuel tank, and return to its starting location in order to refuel when not in use.