Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating variance and/or standard deviation for Big Data or streamed data. Embodiments of the invention include incrementally calculating one or more components of a variance and/or a standard deviation for a modified computation subset based on one or more components of the variance and/or the standard deviation calculated for a previous computation subset and then calculating variance and/or standard deviation based on the incrementally calculated components. Incrementally calculating the components of a variance and/or a standard deviation avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: The present invention extends to methods, systems, and computing system program products for iteratively calculating a Z-score for Big Data. Embodiments of the invention include iteratively calculating one or more components of a Z-score for a modified computation subset based on the one or more components of a Z-score calculated for a previous computation subset and then calculating a Z-score for a selected data element in the modified computation subset based on one or more of the iteratively calculated components. Iteratively calculating a Z-score avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: The present invention is a high performance jump rope handle which comprises a bearing assembly and attachment device for either adjustable or static attachment of a rope for use in the activity of jumping rope for exercise or entertainment. The high performance handle may also comprise a magnetic means for attaching the handle to a ferrous material when not being used.

Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating Z-score for Big Data or streamed data. Embodiments of the invention include incrementally calculating one or more components of a Z-score for a modified computation subset based on one or more components of a Z-score calculated for a pre-modified computation subset and then calculating a Z-score for a selected data element in the modified computation subset based on one or more of the incrementally calculated components. Incrementally calculating Z-score avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: An optical viewing device, consisting of glasses, goggles, visor or other head-worn device, comprised of a vertical aperture, or apertures, designed to limit an athlete's visual field of view and increase the user's focus on the ball position. In this manner, the athlete's eye to ball alignment is enhanced, leading to reduced head movements during use. The improved performance is directly enhanced by the improved eye-ball alignment and reduced head movement during the sporting activity.

Abstract: The methods and systems generally include a packaging system for perishable consumables including a container having an inner member configured to slide in and out of an outer member. A button that extends from a surface of the inner member through an aperture defined in a surface of the outer member. The button is configured to hold the inner member from sliding relative to the outer member. The button is configured to be deflected and removed from the aperture to permit the inner member to slide relative to the outer member.

Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating skewness for Big Data or streamed data in real time by incrementally calculating one or more components of skewness. Embodiments of the invention include incrementally calculating one or more components of skewness in a modified computation subset based on the one or more components of the skewness calculated for a previous computation subset and then calculating the skewness based on the incrementally calculated components. Incrementally calculating skewness avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: A multistage wheel drive includes primary and secondary planetary stages, in which the ring gear of the primary (i.e., input-side) planetary stage is formed from a single machined part which also includes the planet gear carrier of the secondary (i.e., output-side) planetary stage. This dual-function “combination” component includes a splined exterior surface which interfaces with a correspondingly splined interior surface on the spindle in order to rotationally fix the combination component to the spindle. This arrangement ensures concentricity between the primary and secondary planetary stages, while allowing a desired amount of radial tolerance between the spindle, the combination component, and the hub of the wheel drive. In addition, the present arrangement can be produced efficiently and inexpensively.

Abstract: The present invention extends to methods, systems, and computing system program products for iteratively calculating autocorrelation at a specified lag for streamed data in real time by iteratively calculating one or more components of autocorrelation at the specified lag l for a computation window of size n. Embodiments of the invention include iteratively calculating one or more components of autocorrelation at the specified lag l for an adjusted computation window based on the one or more components of the autocorrelation at the specified lag l calculated for a previous computation window and then calculating the autocorrelation at the specified lag l using the components. Iteratively calculating autocorrelation avoids visiting all data elements in the adjusted computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: Bags or carriers are provided that can be transformed into protective vests and used as body armor and ballistic shields. The carriers can be assembled in a first arrangement that enables individuals to store and transport items. The carriers can quickly and easily be converted to or deployed in a second arrangement which enables the individuals to wear the carriers as protective vests. One or more shoulder straps can be detached from the carriers for use as tourniquets, doorway securing structures, and tools for dragging injured victims.

Abstract: The present invention extends to methods, systems, and computing system program products for iteratively calculating kurtosis for Big Data. Embodiments of the invention include iteratively calculating one or more components of a kurtosis in a modified computation subset based on the one or more components of the kurtosis calculated for a previous computation subset and then calculating the kurtosis based on the iteratively calculated components. Iteratively calculating kurtosis avoids visiting all data elements in the modified computation subset and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating autocorrelation for Big Data. Embodiments of the invention include incrementally calculating one or more components of an autocorrelation at a specified lag for an adjusted computation window by incrementally calculating one or more components of an autocorrelation at the specified lag calculated for a previous computation window and then calculating the autocorrelation at the specified lag for the adjusted computation window based on one or more incrementally calculated components. Incrementally calculating autocorrelation avoids visiting all data elements in the adjusted computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: A venting system for an electronic headset including a fan to be disposed on an outer surface of the electronic headset, a channel to receive air from the fan and direct air toward an outlet. An air channel ring may be mountable to the electronic headset. The air channel ring receives air from the outlet and directs air to an interior portion of the electronic headset.

Abstract: The present invention extends to methods, systems, and computing system program products for iteratively calculating autocorrelation at a specified lag for Big Data or streamed data in real time by iteratively calculating one or more components of autocorrelation at the specified lag l for a computation window of size n. Embodiments of the invention include iteratively calculating one or more components of autocorrelation at the specified lag l for an adjusted computation window based on the one or more components of the autocorrelation at the specified lag l calculated for a previous computation window and then calculating the autocorrelation at the specified lag l using the components. Iteratively calculating autocorrelation avoids visiting all data elements in the adjusted computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.

Abstract: The present invention extends to methods, systems, and computing system program products for incrementally calculating autocorrelation for streamed data in real time. Embodiments of the invention include incrementally calculating one or more components of autocorrelation at a specified lag for an adjusted computation window based on the one or more components of the autocorrelation at the specified lag calculated for a previous computation window and then calculating the autocorrelation the specified lag using the components. Incrementally calculating autocorrelation avoids visiting and storing all data elements in the adjusted computation window and performing redundant computations thereby increasing calculation efficiency, saving computing resources and reducing computing system's power consumption.