Abstract: A construction management system includes an output unit that causes a display device to display a remotely operable work machine, a selection data acquisition unit that acquires machine selection data indicating specification of the work machine, and a remote operation permission unit that permits start of a remote operation of the work machine based on the machine selection data.

Abstract: An incentive providing system capable of letting a user behave in such a way that his/her stress level is lowered and thus reducing his/her stress is provided. The incentive providing system according to the present disclosure executes: processing for acquiring a stress level indicating a degree of stress of a user; and providing an incentive for a user in a case in which the stress level of the user is lower than a predetermined standard.

Abstract: A communications server apparatus for a distributed sharding database related to a transportation service comprising a processor and a memory, the communications server apparatus being configured, under control of the processor, to execute instructions stored in the memory to: determine whether rebalancing of a plurality of shard replicas stored on a plurality of server instances is required based on two or more quantitative metrics; if rebalancing is required, select a plurality of candidate rebalancing plans; and rank the candidates, and execute a selected rebalancing plan from the ranking if two or more quantitative metrics criteria are met for the selection.

Abstract: Systems and methods for providing integrated, secure, and verifiable home services, such as delivery of physical items within a home and execution of services within a home, are disclosed. In certain embodiments, the system includes cameras, sensors and locks wirelessly connected and configured to provide information to a server associated with the delivery of items and services. In one embodiment, the disclosed methods track and deliver a package in a secure and verifiable manner through use of a time-limited electronic key. Other embodiments include apparatuses having wirelessly connected cameras that allow monitoring of the status of the delivery of an item or of services.

Abstract: Label biasing of data associated with one of a plurality of closed deals using interpolation includes retrieving, by at least one processor, training data from a data storage, and sampling, by the at least one processor, the training data periodically to capture one or more stages for each of a plurality of open deals. This also includes computing, by the at least one processor, a label for each of the plurality of open deals and a plurality of closed deals. The label is computed with a ‘1’ or ‘0’, in some embodiments. This further training, by the at least one processor, a model on the periodically sampled training data associated with the plurality of closed deal, and generating, by the at least one processor, a score for each of the plurality of closed deal and for each of the plurality of open deals.

Abstract: A system and method for detecting trending topics in customer inquiries includes retrieving customer inquiries from a plurality of data sources for a target time window and reference time windows and detecting trending keywords in the target time window as compared to keywords in the reference time windows. Responsive to detecting the trending keywords, customer inquiries in the target time window that include one or more of the trending keywords are collected and a weight is measured for each collected customer inquiry based on weights of detected trending keywords in each collected customer inquiry. A connection graph is generated for the detected trending keywords and the collected customer inquiries. The detected trending keywords are then clustered into a plurality of trending topics based on the connection graph, and the trending topics are ranked based on the measured weights of the collected customer inquiries associated with each trending topic.

Abstract: An online system generates a request to transport a set of items from a source location to a destination location. The set of items includes at least one temperature-sensitive item. The system extracts a set of input features about the request to transport the set of items. The set of input features includes an estimated transportation time for transporting the set of items from the source location to the destination location. The system applies a machine learning model to the set of input features to output a score for the temperature-sensitive item, indicating a likelihood that the temperature-sensitive item will transition outside of a target temperature range before completing the transportation. Responsive to the method outputting the score above a threshold, the system adjusts the request and outputs the adjusted request to one or more computing systems, causing the one or more computing systems to display the adjusted request.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when executed on the one or more processors perform certain functions: obtaining an input comprising a sequence of service locations; iterating through pairs of consecutive service locations of the service locations to determine when a port for the first service location is different from the port for the second service location; adding the port for the first service location and the port for the second service location; and iterating through hours of service (HOS) states of the offshore route; determining whether to add one or more additional HOS states in the offshore route; and resetting a cumulative drive time to zero for each offshore port-to-port service. Other embodiments are disclosed.

Abstract: Systems and methods for dynamically and automatically updating item prices on e-commerce platform are disclosed. In some embodiments, an item is offered for purchase with a current price on a website. When price elasticity data and predicted demand data for the item are both available, a first markdown price is generated for the item using a first model based on: the price elasticity data, the predicted demand data, and the current price. When the price elasticity data and the predicted demand data are not both available, a second markdown price is generated for the item using a second model based on: a decay rate, the current price, and availability of the predicted demand data. A bounded price is generated by applying an upper bound and a lower bound to either the first markdown price or the second markdown price; and transmitted to a computing device for updating the current price of the item on the website.

Abstract: Exemplary embodiments are disclosed of systems and methods for quality monitoring of pallets of goods (e.g., fresh seafood, other perishable goods, nonperishable goods, etc.) in a cargo.

Abstract: A node of a B company updates a restriction list (S1) based on transaction data received from a platform provider, the transaction data proposing addition of a new restricted substance to the restriction list. The node of the B company starts checking processing and estimates whether or not there is possibility that the new restricted substance is contained in a C product supplied by a C company and a D product supplied by a D company (S2). The node of the B company generates transaction data that asks whether or not the new restricted substance is contained in the C product and transmits the transaction data to a node of the C company (S3).

Abstract: The invention relates to a carbon footprint accounting method for a silk reeling stage of raw silk, including establishing a mass conservation-based mass evolution relationship between a primary product and byproducts; calculating the process duration according to the mass of the primary product in processes, and combining equipment power to calculate a theoretical annual electricity consumption; calculating a total electricity consumption for each specification of raw silk based on the running efficiency; establishing a step-by-step allocation method for electricity consumption at byproducts generation points; establishing allocation rules and ratios for other energy and material inputs; and performing carbon footprint accounting for different silk specifications according to the allocated annual electricity consumption and the other allocated inputs.

Abstract: Techniques for determining an estimated time of arrival associated with a pickup location are described herein. For example, a customer can order a good or service for pickup at a pickup location. In some examples, order data can include a pickup location intent, such as a drive-through location, a pickup window, or a parking location. A location of a user computing device can be determined and can be input to a machine-learning model trained to determine estimated times of arrival for a particular location. In some examples, the machine-learning model can be trained with ground truth data specific to the location for which the model is to determine estimated times of arrival. The machine-learning model can output the estimated time of arrival and can update the time at any regular or irregular intervals, which can be used to prioritize an order in an order queue.

Abstract: Embodiments of the disclosure provide methods, apparatuses, and electronic devices for processing product traceability chain information. The method comprises: determining one or more processing stages associated with a traceability chain of a product; acquiring video information associated with each of the one or more processing stages of the traceability chain; and splicing the video information associated with each of the one or more processing stages to generate a traceability video for the product.

Abstract: A distributed computing system is disclosed that practically applies networked computing technology and machine-readable indicia to support traceability of products from providers to clients, the system comprising a plurality of distributed computers for communication over a network regarding a product identified by machine-readable indicia, for which a record is maintained in memory, and which is distributed through a supply chain that includes at least the provider, a distributor, and the client. The distributed computers include first, second, third, and fourth computers that cooperate with each other to support compliance with client rules and tracing of the order from the provider to the client through the participants in the supply chain via the machine-readable indicia and associations that are created in the memory to link the product with its passage through the supply chain.

Abstract: Example implementations relate to a method of dynamically updating a transport task of a UAV. The method includes receiving, at a transport-provider computing system, an item provider request for transportation of a plurality of packages from a loading location at a given future time. The method also includes assigning, by the transport-provider computing system, a respective transport task to each of a plurality of UAVs, where the respective transport task comprises an instruction to deploy to the loading location to pick up one or more of the plurality of packages. Further, the method includes identifying, by the transport-provider system, a first package while or after a first UAV picks up the first package. Yet further, the method includes based on the identifying of the first package, providing, by the transport-provider system, a task update to the first UAV to update the respective transport task of the first UAV.

Abstract: The management server 2 calculates a total weight of a plurality of articles loaded on the UAV 1 on the basis of weights of the articles included in each of a plurality of orders, and determines whether or not the unmanned aerial vehicle is capable of loading and delivering the articles included in each of the plurality of orders by comparing a loadable weight of the UAV 1 with the calculated total weight.

Abstract: A controller is provided which is configured to: acquire information on a price of a first portion that is a portion to be reused when a second vehicle is rebuilt from a first vehicle; acquire information on deterioration of the first portion from the first vehicle; acquire information on a cost incurred for reusing the first portion in accordance with the information on the deterioration of the first portion; acquire information on a second portion that is a portion other than the first portion and is equipped on the second vehicle when the second vehicle is rebuilt from the first vehicle; acquire information on a price of the second portion; and output information on a price of the second vehicle in accordance with the information on the price of the first portion, the cost incurred for reusing the first portion, and the price of the second portion.

Abstract: A method for reserving a cloud-based instrument and adapted to a system for reserving an instrument is provided. The system includes a group of remote instruments with a plurality of remote instruments, a system for reserving an instrument, and a bastion server. The reservation information includes a plurality of reservable time periods and a plurality of reserved time periods. The method for reserving the cloud-based instrument includes: establishing a secure connection between the bastion server and the remote instrument designated in any one of the reserved time periods, establishing a dedicated connection between the designated remote instrument and a user workstation designated in any one of the reserved time periods at start of any one of the reserved time periods according to pairing information and the reservation information, and terminating the secure connection and the dedicated connection at end of any one of the reserved time periods.

Abstract: An approach is provided for multimodal position selection based on an aggregated previous position of a tracking device. The approach, for example, involves receiving a telemetry item from the tracking device. The tracking device is configured with a plurality of positioning technologies to generate position signals respectively. A plurality of positions of the tracking device are respectively determined using the position signals. The approach also involves based on determining that the tracking device is stationary by determining that at least one of the plurality of positions is less than a threshold distance from a previous position or an aggregated previous position of the tracking device, selecting a position from the plurality of positions that is closest to the aggregated previous position of the tracking device. The approach further involves assigning the selected position to the telemetry item. The approach further involves providing the telemetry item with the selected position as an output.