Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a lens, For example, a computing device may be configured to process at least one depth map including depth information captured via a lens; and to determine one or more parameters of the lens based on the depth information.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a lens, For example, a computing device may be configured to process at least one depth map including depth information captured via a lens; and to determine one or more parameters of the lens based on the depth information.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a refractive error of a tested eye. For example, a computing device may be configured to process depth mapping information to identify depth information of a tested eye; and to determine one or more parameters of a refractive error of the tested eye based on the depth information of the tested eye.

Abstract: One or more computing devices, systems, and/or methods for implementing a model for serving exploration traffic are provided. An amount of spend by a content provider to provide content items of the content provider through a content serving platform to client devices of users is determined. A number of exploration impressions of users viewing exploration content items of the content provider over a timespan is determined. A return on exploration impression metric is determined for the content provider based upon a ratio of the amount of spend to the number of exploration impressions. The return on exploration metric is used to rank available exploration content items of content providers for serving exploration traffic.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: One or more computing devices, systems, and/or methods for determining expected revenue thresholds for presentation of content items via client devices are provided. During a first period of time, whether to present a first content item via a first client device may be determined based upon a comparison of a first expected revenue associated with the first content item with a first expected revenue threshold. A first revenue value associated with presentation of content items via client devices within the first period of time may be determined. The first expected revenue threshold may be modified to generate a second expected revenue threshold based upon the first revenue value and a target revenue value. Whether to present a second content item via a second client device may be determined based upon a comparison of a second expected revenue associated with the second content item with the second expected revenue threshold.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a refractive error of a tested eye. For example, a computing device may be configured to process depth mapping information to identify depth information of a tested eye; and to determine one or more parameters of a refractive error of the tested eye based on the depth information of the tested eye.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more parameters of a lens, For example, a computing device may be configured to process at least one depth map including depth information captured via a lens; and to determine one or more parameters of the lens based on the depth information.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: Systems, methods, and devices for evaluation of an earth formation intersected by a borehole using a logging tool. Methods include generating an excitation in the formation with an electromagnetic (EM) signal from a transmitter assembly at at least one frequency; making EM measurements using an EM tool on a tool string in the borehole by receiving a signal at at least one receiver assembly responsive to the excitation; wherein the at least one receiver assembly includes an induction antenna comprising a first winding and a second winding that share a common center tap, and wherein the average potential on the induction antenna is substantially the same as a ground potential. The receiver assembly or transmitter assembly may comprise a receiver or transmitter electrically connected to the induction antenna by a balun transformer, and a capacitive shield encompassing the induction antenna, the capacitive shield comprising a meander shaped isolation gap.

Abstract: Some demonstrative embodiments include apparatuses, systems and/or methods of determining one or more optical parameters of a lens of eyeglasses. For example, a product may include one or more tangible computer-readable non-transitory storage media including computer-executable instructions operable to, when executed by at least one computer processor, enable the at least one computer processor to process at least one captured image of at least one reflection of a flash on a lens of eyeglasses; and determine one or more optical parameters of the lens based at least on the at least one captured image.

Abstract: A method and system are provided, for imaging a region of interest with pinhole based imaging. The method comprising: collecting input radiation from the region of interest through a selected set of a plurality of a predetermined number of aperture arrays, each array having a predetermined arrangement of apertures and collecting the input radiation during a collection time period, wherein said selected set of the aperture arrays and the corresponding collection time periods defining a total effective transmission function of the radiation collection, generating image data from the collected input radiation, said image data comprising said predetermined number of image data pieces corresponding to the input radiation collected through the aperture arrays respectively, processing the image data pieces utilizing said total effective transmission function of the radiation collection, and determining a restored image of the region of interest.

Abstract: A method and system are provided, for imaging a region of interest with pinhole based imaging. The method comprising: collecting input radiation from the region of interest through a selected set of a plurality of a predetermined number of aperture arrays, each array having a predetermined arrangement of apertures and collecting the input radiation during a collection time period, wherein said selected set of the aperture arrays and the corresponding collection time periods defining a total effective transmission function of the radiation collection, generating image data from the collected input radiation, said image data comprising said predetermined number of image data pieces corresponding to the input radiation collected through the aperture arrays respectively, processing the image data pieces utilizing said total effective transmission function of the radiation collection, and determining a restored image of the region of interest.