Abstract:
Various embodiments of the resistive memory cells and arrays discussed herein comprise: (1) a first electrode; (2) a second electrode; (3) resistive memory material; and (4) a diode. The resistive memory material is selected from the group consisting of SiOx, SiOxH, SiOxNy, SiOxNyH, SiOxCz, SiOxCzH, and combinations thereof, wherein each of x, y and z are equal or greater than 1 or equal or less than 2. The diode may be any suitable diode, such as n-p diodes, p-n diodes, and Schottky diodes.
Abstract:
The present invention relates to certain amido-benzyl sulfoxide and sulfone compounds, pharmaceutical compositions comprising such compounds, and methods of treatment using such compounds.
Abstract:
The present invention relates to compounds and compositions for the inhibition of NAMPT, their synthesis, applications and antidotes. An illustrative compound of the invention is shown below:
Abstract:
The present invention relates to compounds and compositions for the inhibition of NAMPT, their synthesis, applications and antidotes. An illustrative compound of the invention is shown below.
Abstract:
A hosted private branch exchange (PBX) system is provided that includes: non-transitory storage that includes subscriber identifying information that identifies a subscriber to a message routing service; non-transitory storage that includes distribution rules information associated with the identified subscriber; and a message management server configured to receive a message sent over the Internet to the identified subscriber and to send the message over the Internet to one or more devices according to the distribution rules associated with the identified subscriber.
Abstract:
Embodiments are directed to the providing a cloud keying and signing service and to securing software package distribution on the cloud. In an embodiment, a computer system instantiates a signing service configured to sign software packages. The computer system receives a signing request from a computer user requesting that a selected software package be signed. The signing request includes a computed hash of the selected software package. The computer system generates a private and public key pair on behalf of the computer user and stores the private key of the generated key pair in a secure data store.
Abstract:
Methods and systems for determining a state of charge of a battery exhibiting a transient response are provided. At least one property of the battery is measured. The state of charge of the battery is determined based on the at least one measured property and a transient response of the battery.
Abstract:
A method of determining a state of health of a battery in real time includes estimating a parameter value associated with the state of health of the battery and determining one or more of a terminal voltage, an accumulated charge, a state of charge, and a temperature of the battery. The method further includes determining, via a computing device, a reserve capacity of the battery based at least in part on the estimated parameter value and one or more of the terminal voltage, the accumulated charge, the state of charge, and the temperature of the battery.
Abstract:
An embodiment contemplates a method for estimating a capacity of a battery. A state of charge is determined at a first instant of time and at a second instant of time. A difference in the state of charge is determined between the first instant of time and the second instant of time. A net coulomb flow is calculated between the first instant of time and the second instant of time. The battery capacity is determined as a function of the change in the state of charge and the net coulomb flow.
Abstract:
A method for estimating vehicle battery parameters that uses two different sampling rates. The method samples a battery terminal voltage and current at a high sampling rate to estimate the battery open circuit voltage and high frequency resistance. The battery state of charge (SOC) is derived from the open circuit voltage. Next, the battery terminal voltage and current are re-sampled at a low sampling rate. Other battery parameters can be extracted from the low-rate sampled signals. Next, all of the battery parameters that were obtained from the two sampling rates are used together to predict battery power.