Abstract: The present disclosure generally relates to optimizing device interrupt coalescing based upon host device behavior. The data storage device maintains three functional states: a training state, a holding state, and a retraining state. The data storage device switches between states based upon host device behavior as well as the behavior of the data storage device. Once the data storage device finds the optimum conditions for coalescing, the data storage device will periodically test the conditions to adapt to changing host device behavior as well as data storage device behavior. In so doing, the data storage device can dynamically adjust interrupt coalescing to ensure optimum operation of the storage device.

Abstract: Techniques are described herein that are capable of selectively authenticating a user using voice recognition and random representations. A credential that is received from an entity is compared to a reference credential associated with a user. The random representations are caused to be displayed to the entity based at least in part on the credential corresponding to the reference credential. Each random representation has a random entropy. A representation of speech of the entity is analyzed to determine whether a voice characterized by the speech corresponds to a voice profile that characterizes a voice of the user and to determine whether the speech includes a verbal identification of each random representation. The user is selectively authenticated based at least in part on whether the voice corresponds to the voice profile and further based at least in part on whether the speech includes the verbal identification of each random representation.

Abstract: The present disclosure generally relates to optimizing device interrupt coalescing based upon host device behavior. The data storage device maintains three functional states: a training state, a holding state, and a retraining state. The data storage device switches between states based upon host device behavior as well as the behavior of the data storage device. Once the data storage device finds the optimum conditions for coalescing, the data storage device will periodically test the conditions to adapt to changing host device behavior as well as data storage device behavior. In so doing, the data storage device can dynamically adjust interrupt coalescing to ensure optimum operation of the storage device.

Abstract: Methods and devices relating to measuring a landing position and mass of an analyte adsorbed to a nanomechanical resonator by resolving adsorbate-induced frequency shifts in at least two modes of a resonator resonance frequency, where during the resolving of the frequency shifts in the at least two modes analysis is so that the transformation (G) from the fractional-frequency shift pair to the analyte mass-position pair is one-to-one. Complex protein mixtures can be analyzed at high sensitivity and resolution.

Abstract: Methods and devices relating to measuring a landing position and mass of an analyte adsorbed to a nanomechanical resonator by resolving adsorbate-induced frequency shifts in at least two modes of a resonator resonance frequency, where during the resolving of the frequency shifts in the at least two modes analysis is so that the transformation (G) from the fractional-frequency shift pair to the analyte mass-position pair is one-to-one. Complex protein mixtures can be analyzed at high sensitivity and resolution.

Abstract: The present invention relates to an apparatus for measuring a mass of a sample, using a nanoelectromechanical system (NEMS) arranged to receive the sample added onto a resonator of the NEMS and a microfluidic sample delivery and sample ionization system. The nanoelectromechanical system is located at an output of the ionization system. The nanoelectromechanical resonator system is highly sensitive and is capable of detecting masses in the single Dalton range.

Abstract: The present invention relates to an apparatus for measuring a mass of a sample, using a nanoelectromechanical system (NEMS) arranged to receive the sample added onto a resonator of the NEMS and a microfluidic sample delivery and sample ionization system. The nanoelectromechanical system is located at an output of the ionization system. The nanoelectromechanical resonator system is highly sensitive and is capable of detecting masses in the single Dalton range.