Cypress Semiconductor Corporation

Accenture Global Services Gmbh

Qualcomm Incorporated

Intuit, Inc.

Accenture Global Solutions Limited

Arnab Chakraborty

Derwin W Mattos

Ramakrishna Venigalla

Vaidyanathan Varsha

Gerard Kato

Ankit Jain

Kaushik Sanyal

Vivek Saha

Rajan Shingari

Krishnaswamy Thiagarajan

Amit Kumar

Ayush Mittal

Shrutendra Harsola

Eric Bertrand

Vinoth Venkataraman

Sachin Sehgal

Vikas Raturi

Ruchika Sachdeva

Mayank Kant

Jonathan Saginaw

Vikas Kumar

Jonathan Stribley

Deepthi Adimulam

Ketaki Deshpande

Muthumari Shanmugasundaram

Laura Chittick

Kumar Saurabh

Youssef D Tuma

Saket Bhardawaj

Juan Morlanes Montesinos

Juhi Munjal

Fernando Rex Lopez

Michael Baldino, Iii

Brian S Jakubowski

Systems and methods for real-time churn prediction using a flexible and robust machine learning system to predict user churn propensities in real-time using user activity data. In addition to churn propensity prediction, systems and methods may provide insights based on user activity data intelligence.

Real-time propensity prediction using an ensemble of long-term and short-term user behavior models

In an example embodiment, a universal serial bus (USB) Type-C controller comprises a current detector circuit configured to provide over-current protection on a voltage bus (VBUS) line. The current detector circuit comprises a current sense amplifier, a reference voltage generator, and a comparator coupled to the current sense amplifier and to the reference voltage generator. The current sense amplifier is configured to receive a pair of input voltages from the VBUS line and to output an indicator signal responsive to an input voltage difference between the pair of input voltages. The reference voltage generator is configured to generate a reference voltage in response to a voltage selector signal. The comparator is configured to output an interrupt signal responsive to the indicator signal exceeding the reference voltage.

Adjustable over-current detector circuit for universal serial bus (USB) devices

A device has a first switch in a first transmit path coupled between an output of a first DAC (digital-to-analog converter) in the first transmit path and an input of a first baseband filter in the first transmit path. The device also includes a second switch coupled between the output of the first DAC and an input of a second baseband filter in a second transmit path. The second switch is permanently open. The device also has a third switch and a fourth switch. The third switch is coupled between an output of a second DAC in the second transmit path and the input of the second baseband filter. The fourth switch is coupled between the output of the second DAC and the input of the first baseband filter.

Impedance matched switch

A device may communicate with a group of devices to obtain data regarding a set of events occurring for the group of devices. The device may process the data regarding the set of events to remove a subset of data entries, from the data, that is associated with an anomalous event. A first layer of analysis may relate to the group of devices, a second layer of analysis relating to a set of sessions of operating a user interface via the group of devices, and a third layer of analysis relating to information provided via the user interface. The device may perform the multiple layers of analysis via a machine learning technique to identify an alteration relating to the information provided via the user interface. The device may alter the information provided via the user interface based on performing the multiple layers of analysis.

Video analytics device

In an example embodiment, a device comprises a gate driver and a current detector circuit. The gate driver is configured to be coupled to a power switch on the VBUS line of a USB connector. The current detector circuit is configured to be coupled to the VBUS line and comprises a current sense amplifier, a reference voltage generator circuit, and a comparator. The current sense amplifier is configured to receive a pair of input voltages and to output an indicator signal responsive to the input voltage difference. The reference voltage generator circuit comprises a digital-to-analog converter configured to generate a reference voltage signal based on a received voltage selector signal that is a binary input signal comprising multiple bit values. The comparator is configured to receive the indicator signal and the reference voltage signal and to output an interrupt signal responsive to the indicator signal exceeding the reference voltage signal.

Wi-Fi access point performance management may include receiving a session analytic record related to a plurality of wireless access points, and analyzing the session analytic record related to the plurality of wireless access points to determine a root cause of at least one malfunctioning node related to at least one of the plurality of wireless access points, and predict failure of the at least one of the plurality of wireless access points. Further, a graphical user interface display or a report may be generated. The graphical user interface display or the report may be related to the determination of the root cause of the at least one malfunctioning node related to the at least one of the plurality of wireless access points, and prediction of the failure of the at least one of the plurality of wireless access points.

Wi-Fi access point performance management

A method may include determining first network data corresponding to a first time period, including alarm data and incident data collected by a set of network devices of a core network during the first time period. The method may include creating, based on the first network data, an incident prediction model. The method may include receiving second network data, associated with the core network, corresponding to a second time period. The second network data may include alarm data and incident data collected by a network device, of the set of network devices, during the second time period. The method may include generating, based on the second network data and the incident prediction model, an incident prediction that includes a prediction whether the network device will experience an incident during a third time period.

Core network analytics system

A current detector circuit includes a current sense amplifier, coupled to a sense resistor, to receive a pair of input voltages and to output a first indicator signal responsive to a sensed input voltage difference produced by a sensed current passing through the sense resistor. The current detector circuit includes a comparator coupled to the current sense amplifier, the comparator to compare the first indicator signal to a reference voltage signal and output an interrupt signal responsive to the first indicator signal exceeding the reference voltage signal; and a reference voltage generator circuit coupled to the comparator, the reference voltage generator circuit to select the reference voltage signal from a plurality of reference voltages according to a first selector signal received from a configuration channel of a serial bus connector device.

In an example, a performance of an access point in a wireless network is optimized based on a statistical ranking of independent variables. A device analyzer may calculate a dependent variable for the performance of the access point and independent variables that impact the dependent variable from a set of independent variables based on real-time access point data received from a plurality of access points. A predictive modeler may generate a model to forecast the performance of the access point and to determine an impact ranking for the independent variables from the dependent and independent variables. The impact ranking may sequence the independent variables according to their impact on the dependent variable. Accordingly, a configuration circuit may adjust a controllable parameter of the access points according to the impact ranking.

Performance optimizations for wireless access points

Growing community of inventors

Bengaluru, India

Arnab Chakraborty