Abstract: Embodiments are described for a virtual currency exchange system having a network connecting a plurality of users. Each user may create a profile and engage with one another to send, receive, and trade for goods and services using a plurality of currencies.

Abstract: A dispenser includes a rotating member including a first end and a second end, the rotating member having an inner surface and defining an axis of rotation that extends from the first end to the second end, a holding member having an inner surface, an outer holding surface, and a collar at a first end of the holding member, the inner surface enclosing an engaging portion of the rotating member, the holding member configured to rotate relative to the rotating member, and a cap attached to the first end of the rotating member and retaining the holding member on the rotating member, the collar of the holding member positioned at least partially directly between an end surface at the first end of the rotating member and a stop surface of the cap, an end gap between the end surface and the stop surface providing clearance for the collar.

Abstract: Apparatuses and methods for targeted row refreshes are disclosed herein. In an example apparatus, a predecoder receives a target row address and determines whether a target row of memory associated with the target row address is a primary or a redundant row of memory. The predecoder is further configured to cause one or more rows of memory physically adjacent the primary row of memory to be refreshed if the primary row is the target row or one or more rows of memory physically adjacent the redundant row of memory to be refreshed if the redundant row of memory is the target row of memory.

Abstract: Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

Abstract: Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

Abstract: Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

Abstract: An optical waveguide device comprising: one or more photonic chips, the one or more photonic chips including: a first portion of a photonic chip comprising an array of first components, each of the first components having an optical input and an electrical output; and a second portion of a photonic chip comprising an array of second components, each of the second components configured to receive an electrical input; the optical waveguide device further comprising: an integrated circuit; the integrated circuit forming an electrical bridge between the electrical outputs of the first components and respective electrical inputs of the second components; wherein the integrated circuit is directly mounted onto the one or more photonic chips; and/or wherein the integrated circuit is located between the first portion of a photonic chip and the second portion of a photonic chip.

Abstract: An optical waveguide device comprising: one or more photonic chips, the one or more photonic chips including: a first portion of a photonic chip comprising an array of first components, each of the first components having an optical input and an electrical output; and a second portion of a photonic chip comprising an array of second components, each of the second components configured to receive an electrical input; the optical waveguide device further comprising: an integrated circuit; the integrated circuit forming an electrical bridge between the electrical outputs of the first components and respective electrical inputs of the second components; wherein the integrated circuit is directly mounted onto the one or more photonic chips; and/or wherein the integrated circuit is located between the first portion of a photonic chip and the second portion of a photonic chip.

Abstract: A method for collecting and analyzing operational information from a network of components associated with a liquid energy commodity comprises the steps of: (a) measuring an amount of the liquid energy commodity in storage at one or more storage facilities in the network, and storing that measurement data; (b) determining a flow rate of the liquid energy commodity in one or more selected pipelines in the network, and storing that flow rate data; (c) ascertaining an operational status of one or more processing facilities in the network, and storing that operational status information; (d) analyzing the measurement data, the flow rate data, and the operational status information to determine a balance of the liquid energy commodity in the network or a selected portion thereof at a given time; and (e) communicating information about the balance of the liquid energy commodity to a third-party market participant.

Abstract: In one general embodiment, a computer-implemented method includes selecting a portion of a hash table, identifying a plurality of uniform resource locators (URLs) stored within the selected portion of the hash table, and for each of the plurality of identified URLs, individually determining whether to process the identified URL, based on data associated with the identified URL.

Abstract: A method for collecting and analyzing operational information from a network of components associated with a liquid energy commodity comprises the steps of: (a) measuring an amount of the liquid energy commodity in storage at one or more storage facilities in the network, and storing that measurement data; (b) determining a flow rate of the liquid energy commodity in one or more selected pipelines in the network, and storing that flow rate data; (c) ascertaining an operational status of one or more processing facilities in the network, and storing that operational status information; (d) analyzing the measurement data, the flow rate data, and the operational status information to determine a balance of the liquid energy commodity in the network or a selected portion thereof at a given time; and (e) communicating information about the balance of the liquid energy commodity to a third-party market participant.

Abstract: A dispenser includes a rotating member including a first end and a second end, the rotating member having an inner surface and defining an axis of rotation that extends from the first end to the second end, a holding member having an inner surface, an outer holding surface, and a collar at a first end of the holding member, the inner surface enclosing an engaging portion of the rotating member, the holding member configured to rotate relative to the rotating member, and a cap attached to the first end of the rotating member and retaining the holding member on the rotating member, the collar of the holding member positioned at least partially directly between an end surface at the first end of the rotating member and a stop surface of the cap, an end gap between the end surface and the stop surface providing clearance for the collar.

Abstract: In one general embodiment, a computer-implemented method includes selecting a portion of a hash table, identifying a plurality of uniform resource locators (URLs) stored within the selected portion of the hash table, and for each of the plurality of identified URLs, individually determining whether to process the identified URL, based on data associated with the identified URL.

Abstract: A computer-implemented method according to one embodiment includes identifying a plurality of related web pages, extracting textual data within the identified plurality of related web pages, determining a plurality of groupings of the extracted textual data, calculating a frequency of each of the determined plurality of groupings within the identified plurality of related web pages, creating a subset of the determined plurality of groupings, based on the calculated frequency of each of the plurality of groupings, and returning the subset of the determined plurality of groupings.

Abstract: Apparatuses and methods for targeted row refreshes are disclosed herein. In an example apparatus, a predecoder receives a target row address and determines whether a target row of memory associated with the target row address is a primary or a redundant row of memory. The predecoder is further configured to cause one or more rows of memory physically adjacent the primary row of memory to be refreshed if the primary row is the target row or one or more rows of memory physically adjacent the redundant row of memory to be refreshed if the redundant row of memory is the target row of memory.

Abstract: Apparatuses and methods for targeted row refreshes are disclosed herein. In an example apparatus, a predecoder receives a target row address and determines whether a target row of memory associated with the target row address is a primary or a redundant row of memory. The predecoder is further configured to cause one or more rows of memory physically adjacent the primary row of memory to be refreshed if the primary row is the target row or one or more rows of memory physically adjacent the redundant row of memory to be refreshed if the redundant row of memory is the target row of memory.

Abstract: Provided is a method of preparing a data-visualization interface. The method may include receiving a request to view data; retrieving a display configuration responsive to the request to view data, the display configuration identifying two or more context dimensions and three or more sub-display dimensions; retrieving data responsive to the request to view data; designating, in visualization data, a portion of the data as visible data and a portion of the data as cache data based on the display configuration; assigning, in the visualization data, positioning data to a plurality of sub-displays based on the two or more context dimensions, the sub-displays displaying data markers; assigning, in the visualization data, a portion of the cache data to groups of the sub-displays that are co-linear based on the context dimensions; and transmitting the visualization data.

Abstract: Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

Abstract: Embodiments of techniques or systems for fraud detection are provided herein. A communication may be received where the communication includes one or more voice signals from an individual. Frequency responses associated with these voice signals may be determined and analyzed and utilized to determine whether or not potential fraudulent activity is occurring. For example, if a frequency response is greater than a frequency threshold, potential fraudulent activity may be determined. Further, frequency responses may be cross referenced with voice biometrics, voice printing, or fraud pathway detection results. In this way, voice stress or frequency responses may be utilized to build other databases related to other types of fraud detection, thereby enhancing one or more aspects of fraud detection. For example, a database may include a voice library, a pathway library, or a frequency library which include characteristics associated with fraudulent activity, thereby facilitating identification of such activity.

Abstract: Provided is a method of preparing a data-visualization interface. The method may include receiving a request to view data; retrieving a display configuration responsive to the request to view data, the display configuration identifying two or more context dimensions and three or more sub-display dimensions; retrieving data responsive to the request to view data; designating, in visualization data, a portion of the data as visible data and a portion of the data as cache data based on the display configuration; assigning, in the visualization data, positioning data to a plurality of sub-displays based on the two or more context dimensions, the sub-displays displaying data markers; assigning, in the visualization data, a portion of the cache data to groups of the sub-displays that are co-linear based on the context dimensions; and transmitting the visualization data.