Abstract: An attachment module for couples at least one wireless earphone with a mobile device. The module includes a generally planar main body having an interior side for facing a back surface of the mobile device and an exterior side facing opposite the interior side. The module has a first end for engaging a first edge of the mobile device. The module has an earphone retaining mechanism extending beyond the first end for detachably holding the at least one wireless earphone in a position where a speaker portion of the earphone is positioned beyond a plane defined by the interior side.

Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Abstract: A machine learning model including an autoencoder may be trained based on training data that includes sequences of non-anomalous performance metrics from an information technology system but excludes sequences of anomalous performance metrics. The trained machine learning model may process a sequence of performance metrics from the information technology system by generating an encoded representation of the sequence of performance metrics and generating, based on the encoded representation, a reconstruction of the sequence of performance metrics. An occurrence of the anomaly at the information technology system may be detected based on a reconstruction error present in reconstruction of the sequence of performance metrics. Related systems, methods, and articles of manufacture are provided.

Abstract: An attachment module for couples at least one wireless earphone with a mobile device. The module includes a generally planar main body having an interior side for facing a back surface of the mobile device and an exterior side facing opposite the interior side. The module has a first end for engaging a first edge of the mobile device. The module has an earphone retaining mechanism extending beyond the first end for detachably holding the at least one wireless earphone in a position where a speaker portion of the earphone is positioned beyond a plane defined by the interior side.

Abstract: An attachment module, having a fixing mechanism, couples detachably with a mobile device, thereby enabling a user to carry the module attached or detached from the mobile device. In at least one embodiment, the fixing mechanism includes an adhesive portion that binds the module to the mobile device. In at least one embodiment, the module holds a pair of wireless earphone to the mobile device in a position where the earphone speaker portion is generally positioned in line with the depth of the mobile device, thereby only minimally adding to the depth of the combined unit. In at least one embodiment, the module may be equipped with wired or wireless charging to charge its battery or that of the mobile device.

Abstract: A machine learning model including an autoencoder may be trained based on training data that includes sequences of non-anomalous performance metrics from an information technology system but excludes sequences of anomalous performance metrics. The trained machine learning model may process a sequence of performance metrics from the information technology system by generating an encoded representation of the sequence of performance metrics and generating, based on the encoded representation, a reconstruction of the sequence of performance metrics. An occurrence of the anomaly at the information technology system may be detected based on a reconstruction error present in reconstruction of the sequence of performance metrics. Related systems, methods, and articles of manufacture are provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for measuring graphical user interface (GUI) usage, generating visual depictions of the GUI usage, and providing GUI modification recommendations based on the GUI usage. A user interface (UI) usage measurement system may monitor user interactions with an application from one or more user devices. The UI usage measurement system may data such as button clicks or other icon interactions on a GUI. After aggregating this information, the UI usage measurement system may apply machine learning techniques to determine a GUI object recommendation. The recommendation may include the movement of one or more GUI objects to different locations so that the user may more quickly access GUI objects that are more heavily utilized. In this manner, the UI usage measurement system may modify the GUI used by a particular user to access elements of an application.

Abstract: An attachment module for couples at least one wireless earphone with a mobile device. The module includes a generally planar main body having an interior side for facing a back surface of the mobile device and an exterior side facing opposite the interior side. The module has a first end for engaging a first edge of the mobile device. The module has an earphone retaining mechanism extending beyond the first end for detachably holding the at least one wireless earphone in a position where a speaker portion of the earphone is positioned beyond a plane defined by the interior side.

Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Abstract: Disclosed herein are system, method, and computer program product embodiments for measuring graphical user interface (GUI) usage, generating visual depictions of the GUI usage, and providing GUI modification recommendations based on the GUI usage. A user interface (UI) usage measurement system may monitor user interactions with an application from one or more user devices. The UI usage measurement system may data such as button clicks or other icon interactions on a GUI. After aggregating this information, the UI usage measurement system may apply machine learning techniques to determine a GUI object recommendation. The recommendation may include the movement of one or more GUI objects to different locations so that the user may more quickly access GUI objects that are more heavily utilized. In this manner, the UI usage measurement system may modify the GUI used by a particular user to access elements of an application.

Abstract: A wireless headset system includes a housing having at least a wireless communication component configured to communicate with a wireless host device. The housing includes a body portion, an ear-bud portion having at least a speaker operatively coupled with the wireless communications component, and a neck portion having an ear-bud end and a body end, the ear-bud end coupled with the ear-bud portion, the body end coupled with the body portion. The housing is attachable on the wireless host device between an inner surface of the ear-bud portion and an inner surface of the body portion.

Abstract: A wireless headset system includes a housing having at least a wireless communication component configured to communicate with a wireless host device. The housing includes: a body portion, an ear-bud portion having at least a speaker operatively coupled with the wireless communications component, and a neck portion having an ear-bud end and a body end, the ear-bud end coupled with the ear-bud portion, the body end coupled with the body portion. The housing is attachable on the wireless host device between an inner surface of the ear-bud portion and an inner surface of the body portion.

Abstract: Various embodiments of the invention are directed to methods and systems for high capacity OFDM transmitters and receivers. For example, various embodiments of the transmitter may utilize an architecture comprised of a multiplicity of baseband processing subsystems for receiving and modulating user input data from the respective groups of users, a subsystem for the generation of an OFDM signal comprised of a multiplicity of OFDM signals with spectrum sharing, and a baseband to RF conversion subsystem. Various embodiments of the receiver may utilize an architecture comprised of a multicarrier demodulator, a vector splitter, an inverse transform unit, and an interference mitigating symbol detection subsystem.

Abstract: Various embodiments described herein are directed to methods and systems for multibeam adaptive antenna architectures for recovering user signals in the coverage area of the antenna in the presence of interference sources. For example, various embodiments may utilize an architecture comprised of an array of antenna feeds, an RF to baseband conversion subsystem, a bank of digital beamformers, a channelization subsystem, a bank of weighted combiners, and a bank of demodulators for the demodulation and detection of user signals. The multiple beamformers introduce nulls in the direction of interference sources based on distinct adaptive algorithms for providing different antenna beam patterns after adaptation. Various other embodiments may utilize architecture for providing the directions of the interference sources or intentional jammers.

Abstract: Various embodiments of the invention are directed to frequency hopped frequency modulation spread spectrum (FHFMSS) multiple accessing systems and methods. For example, various embodiments of the FHFMSS transmitter may utilize an architecture comprised of a baseband modulation subsystem, a code generation subsystem for generating a multiplicity M code vector sequences, a frequency synthesizer for generating a multiplicity M periodic waveforms, a frequency modulator for generation of a frequency hopped frequency modulation (FHFM) waveform , and a spread spectrum modulator. Various embodiments of the FHFMSS receiver may comprise of a subsystem for generation of the FHFM waveform, a spread spectrum demodulator, a symbol detector, and a baseband demodulation subsystem.

Abstract: A wireless headset system includes a housing having at least a wireless communication component configured to communicate with a wireless host device. The housing includes: a body portion, an ear-bud portion having at least a speaker operatively coupled with the wireless communications component, and a neck portion having an ear-bud end and a body end, the ear-bud end coupled with the ear-bud portion, the body end coupled with the body portion. The housing is attachable on the wireless host device between an inner surface of the ear-bud portion and an inner surface of the body portion.

Abstract: A peripheral unit comprises a housing having a portion configured to engage with a handheld host device of various sizes and electrical configurations. An attachment mechanism is associated with the housing, being used to selectively secure the housing to the handheld host device to form a one-piece apparatus suitable for handheld use. The attachment mechanism is secured to the host device by selective adjustment of the size to adapt to a host device. In addition, the peripheral unit may provide a universal connection to at least one electrical connector of the host device, to provide added input-output functions to the operation of the combined system.

Abstract: Systems and methods are provided for fast and precise estimation of frequency with relatively minimal sampling and relatively high tolerance to noise.

Abstract: A blind mode adaptive equalizer system to recover the in general complex valued data symbols from the signal transmitted over time-varying dispersive wireless channels is disclosed comprising an adaptive communication receiver for the demodulation and detection of digitally modulated signals received over wireless communication channels exhibiting multipath and fading, the receiver comprising an RF front end, an RF to complex baseband converter, a band limiting matched filter, a channel gain normalizer, a blind mode adaptive equalizer with hierarchical structure, an initial data segment recovery circuit, a differential decoder, a complex baseband to data bit mapper, and an error correction code decoder and de-interleaver.

Abstract: Various embodiments of the invention are directed to orthogonal frequency chirp multiple accessing (OFCM) systems and methods. For example, various embodiments of the OFCM transmitter may utilize an architecture comprised of a baseband modulation subsystem, a subsystem for generating multiplicity N orthogonal frequency chirp waveforms, and a bank of multiplicity N spread spectrum modulators. Various embodiments of the OFCM receiver may comprise of a subsystem for generating complex conjugates of multiplicity N orthogonal frequency chirp waveforms, a bank of multiplicity N spread spectrum demodulators, a symbol estimator, a symbol timing estimator, a frequency offset estimator, a carrier phase tracking loop, a multi channel estimator, and a baseband demodulation subsystem.