Abstract: A system and method is provided for constructing a labeled and dimensioned multidimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

Abstract: Disclosed is a computer-implemented method. The method comprises processing, by at least one computing device, exercise measurements taken by a pressure sensor positioned adjacent to a pelvic floor muscle (PFM) of a person at least during performance of a physical exercise, wherein the exercise measurements are indicative of a pressure exerted on the pressure sensor and an orientation of the sensor. The method also comprises calibrating, by the at least one computing device, the pressure of the processed exercise measurements at least based on the orientation of the processed exercise measurements.

Abstract: The present invention falls within the field of medical imaging, specifically imaging aimed at identifying breast lesions, specifically, identifying potential breast cancer lesion masses or potential cancer lesion calcifications of the breast. The object of the present invention is a computational method for the improved identification of breast lesions that involves obtaining digital images of a breast section, with at least two digital images obtained by different imaging technologies, their segmentation and consequent correlations, to identify one or more cancer lesions. This allows for improved automation of the identification of breast lesions.

Abstract: A system and method is provided for constructing a labeled and dimensioned multidimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

Abstract: The present invention addresses to an equipment for autonomous abandonment of wells, allocated in its position during the completion of the well. Such an equipment melts the string, cables and accessories and the casing by means of an exothermic reaction (which may have thermite among its reagents). The start of this reaction is remotely triggered according to the interest of the well operator. As a product of the process, there is the formation of a permanent barrier (BIS) to abandon the well. This permanent barrier will be the product of the residual material from the heat release reaction, a molten material from the string and casing, as well as the material responsible for the formation of the BIS, which shall have eutectic characteristics, that is, after its solidification it shall have an expansion in order to ensure that it generates rock-to-rock adhesion.

Abstract: The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.

Abstract: A Raman pumping device (10) for amplifying a data optical signal in a fiber optic transmission system, comprising first and second ports (12a, 12b) through which the data optical signal may respectively enter and exit the Raman pumping device (10), a Raman pump source (14) for generating a Raman pump signal, and at least one combiner (16) for combining the Raman pump signal with the data optical signal. The Raman pumping device (10) allows for selectively combining the Raman pump signal generated by the same Raman pump source (14), or at least parts of the same Raman pump source (14) codirectionally or counterdirectionally with the data optical signal.

Abstract: The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.

Abstract: The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.

Abstract: A method for controlling the functioning of two or more smart home appliances of a network system comprising a cloud server, a terminal device and two or more smart home appliances registered in said cloud server. The method comprises: selecting two or more smart home appliances of the same type; grouping the selected smart home appliances into a products group; selecting control instructions; associating the selected control instructions to the products group to define group control instructions; and sending the group control instructions to the grouped smart home appliances so that all the grouped smart home appliances concurrently execute identical functions according to the group control instructions.

Abstract: A method of creating a sharing users' group for sharing control of a registered smart home appliance, wherein a first registered user sends an invitation notification to a second terminal device of a second user to participate to the users group, the second user accepts the invitation notification, and a cloud server associates the second terminal device to the registered smart home appliance, whereupon the second user is able to select control instructions and associate the selected control instructions to the registered smart home appliance, and the cloud server is able to send the control instructions selected by the second user to the registered smart home appliance.

Abstract: A method for controlling the functioning of at least one smart home appliance of a network system comprising a cloud server, a terminal device and at least one smart home appliance registered in said cloud server. The method comprises a phase of creating an activity group comprising: selecting one or more registered smart home appliance; selecting control instructions; associating the selected control instructions to the selected smart home appliances; selecting a trigger event for each one of the selected control instructions; activating said activity group; and the cloud server sending the selected control instructions to the selected smart home appliances according to the trigger event.

Abstract: The disclosed apparatus, system and method of the present invention provides improved solutions related to the interconnection of communication cable connectors and communication port receptacles, and more generally, for improved handling and management of communication cable connectors and communication ports. Certain example embodiments suitable for an optical communication application, for example, provide for improved laser safety at the location of an optical communication connector and/or an optical communication port. Moreover, certain example embodiments of the present invention additionally or alternatively otherwise provide for improved communication port, module, device, and/or system handling, administration and/or other management.

Abstract: The scale of modeled building objects from collected imagery is determined by identifying architectural elements within building object imagery, determining a scale of the identified architectural elements by matching them to known industry standard architectural element based on dimensional ratio comparisons and deriving an average scaling factor based on scale of the identified architectural elements. A three dimensional model of the building object is scaled according to the average scaling. Scaled architecture elements within a relative error can be used for scaling the model according to an updated scale factor.

Abstract: The disclosed apparatus, system and method of the present invention provides improved solutions related to the interconnection of communication cable connectors and communication port receptacles, and more generally, for improved handling and management of communication cable connectors and communication ports. Certain example embodiments suitable for an optical communication application, for example, provide for improved laser safety at the location of an optical communication connector and/or an optical communication port. Moreover, certain example embodiments of the present invention additionally or alternatively otherwise provide for improved communication port, module, device, and/or system handling, administration and/or other management.

Abstract: Determining the scale of building objects within collected imagery is determined by identifying architectural elements within stored building object imagery, determining dimensional ratios for the identified architectural elements, matching the identified architectural element to a known industry standard architectural element based on dimensional ratio comparisons and determining a scaling factor of the building object imagery based on relative error to the determined scale of the identified architectural elements. A three dimensional model of the building object constructed from said building object imagery may be scaled by the scaling factor, and dimensions such as measurements for its components determined.

Abstract: Determining the scale of building objects within collected imagery is determined by identifying architectural elements within stored building object imagery, determining dimensional ratios for the identified architectural elements, matching the identified architectural element to a known industry standard architectural element based on dimensional ratio comparisons and determining a scaling factor of the building object imagery based on relative error to the determined scale of the identified architectural elements. A three dimensional model of the building object constructed from said building object imagery may be scaled by the scaling factor, and dimensions such as measurements for its components determined.

Abstract: A system and method is provided for constructing a labeled and dimensioned multi-dimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.

Abstract: A Raman pumping device (10) for amplifying a data optical signal in a fiber optic transmission system, comprising first and second ports (12a, 12b) through which the data optical signal may respectively enter and exit the Raman pumping device (10), a Raman pump source (14) for generating a Raman pump signal, and at least one combiner (16) for combining the Raman pump signal with the data optical signal. The Raman pumping device (10) allows for selectively combining the Raman pump signal generated by the same Raman pump source (14), or at least parts of the same Raman pump source (14) codirectionally or counterdirectionally with the data optical signal.

Abstract: A system and method is provided for constructing a labeled and dimensioned multi-dimensional (e.g., 3D) building model from building object imagery (e.g., ground-level imagery). The method begins by retrieve building object imagery, the building object imagery collected based on directed capture with a mobile device. The method continues by constructing a scaled multi-dimensional building model, the scale based on sizing of at least one selected architectural feature. The method continues by identifying architectural elements within facades of the multi-dimensional building model. The method continues by determining dimensions of at least one of the architectural elements, the dimensions based on the scale. The method continues by determining dimensions (e.g., area) of at least one of the architectural elements. The method continues by labeling each identified architectural element with at least an identifier and by labeling at least one of the architectural elements with the determined dimensions.