Abstract: An automated storage and retrieval system includes a multi-level storage rack and a material handling robot, where the multi-level storage rack includes a plurality of cuboid cells and the material handling robot is configured to navigate along a vertical direction or a horizontal direction from a first cuboid cell to a second cuboid cell. When the navigation from the first cuboid cell to the second cuboid cell is along a vertical direction, a set of second engagement structures disposed at corners of the material handling robot are mated with a set of first engagement structures disposed along structural columns of the first cuboid cell. A rotation of the second engagement structures drives the material handling robot to vertically move along the structural columns of the first cuboid cell.

Abstract: A method for execution by a computing device of a recommendation system includes receiving, from a user computing device associated with a user, a selection of one or more images from one or more selectable image groups to produce a subset of images, where each image of the subset of images has an individual image vector. The method further includes combining the individual image vector of each image of the subset of images to produce a preliminary input vector. The method further includes correlating the preliminary input vector with a first set of items of one or more databases of items based on the preliminary input vector and a corresponding item vector for each of the first set of items. The method further includes generating a representation of the first set of items for displaying on a display of the user computing device.

Abstract: A method for execution by a computing device of a recommendation system includes receiving, from a user computing device of the recommendation system, a selection of one or more images from one or more selectable image groups, where the user computing device is associated with a user profile. The method continues by generating, by the computing device, a personal preference profile for the user profile based upon the selection of the one or more images. The method continues by determining, by the computing device, to correlate one or more databases of items based on the personal preference profile for the user profile. The method continues by generating, by the computing device, a representation of one or more correlated items of the correlated one or more database of items for displaying on a display of the user computing device.

Abstract: A method for execution by a computing device of a recommendation system includes receiving, from a user computing device of the recommendation system, a selection of one or more images from one or more selectable image groups, where the user computing device is associated with a user profile. The method continues by generating, by the computing device, a personal preference profile for the user profile based upon the selection of the one or more images. The method continues by determining, by the computing device, to correlate one or more databases of items based on the personal preference profile for the user profile. The method continues by generating, by the computing device, a representation of one or more correlated items of the correlated one or more database of items for displaying on a display of the user computing device.

Abstract: A user-centric computer-implemented method and system for managing inputs and creating, modifying, importing, and sharing one or more user lifestyle preference profiles as input into a relevance assessment engine to determine a user's product or service preferences comprises a personalized recommendation software for assessing and aggregating lifestyle items via style dimension mapping of one or more computer-implemented algorithms to process image-associated metadata to create unique vector inputs, individualized lifestyle preference indices, and lifestyle preference outputs, associated with a plurality of correlated products, services and experiences. The recommendation system then directly matches each user to discrete relevant items without the need for management of historical data from other users.

Abstract: A browser-based personalized recommendation system and method for lifestyle items comprising style dimension mapping, inputs, outputs, and a computer-algorithm is described. The system gathers information about a user's unique lifestyle preferences, which is then correlated to clothing and lifestyle items. The recommendation system uniquely and directly matches users to discrete items without the need for historic user data.

Abstract: A user-centric computer-implemented method and system for managing inputs and creating, modifying, importing, and sharing one or more user lifestyle preference profiles as input into a relevance assessment engine to determine a user's product or service preferences comprises a personalized recommendation software for assessing and aggregating lifestyle items via style dimension mapping of one or more computer-implemented algorithms to process image-associated metadata to create unique vector inputs, individualized lifestyle preference indices, and lifestyle preference outputs, associated with a plurality of correlated products, services and experiences. The recommendation system then directly matches each user to discrete relevant items without the need for management of historical data from other users.

Abstract: A process for simultaneously providing capacity sale services (e.g. frequency regulation or voltage regulation), energy sale services (energy transfer from off-peak hours to peak hours), and stabilization services of a renewable plant may be provided. The process includes determining the values of energy quantity to be produced by the plant during a near future time interval. The process may also include introducing the values of energy quantity, in the control unit. Generating an hourly program of energy supply to be provided by the energy accumulator unit to the network may also be performed, depending on the values of energy to be produced, which stabilizes the power supplied by the plant to the network. Furthermore, the frequency and the voltage of the network may be regulated as well as transfers the energy between off-peak hours and peak hours, or from hours with saturation of the network to hours without saturation.

Abstract: A process for simultaneously providing capacity sale services (e.g. frequency regulation or voltage regulation), energy sale services (energy transfer from off-peak hours to peak hours), and stabilization services of a renewable plant may be provided. The process includes determining the values of energy quantity to be produced by the plant during a near future time interval. The process may also include introducing the values of energy quantity, in the control unit. Generating an hourly programme of energy supply to be provided by the energy accumulator unit to the network may also be performed, depending on the values of energy to be produced, which stabilizes the power supplied by the plant to the network. Furthermore, the frequency and the voltage of the network may be regulated as well as transfers the energy between off-peak hours and peak hours, or from hours with saturation of the network to hours without saturation.