Abstract: A surgical system includes a robotic arm, a straight end effector configured to be coupled to the robotic arm, an offset end effector configured to be coupled to the robotic arm, and a controller configured to control the robotic arm using first control logic when the straight end effector is coupled to the robotic arm and second control logic when the offset end effector is coupled to the robotic arm.

Abstract: An end effector for a computer-assisted surgical system includes a mount configured to be coupled to an arm and a housing coupled to the mount and configured to interchangeably support a first operating member and a second operating member. When the housing supports the first operating member, the housing is configured to prevent translation of the first operating member relative to the mount. When the housing supports the second operating member, the housing is configured to allow translation of the second operating member relative to the mount along a first axis.

Abstract: Methods and systems are described for providing communications to devices with a customized adaptive user experience. In one embodiment, a system includes a storage medium to store one or more software programs and a format and targeting builder unit to create and edit customizable ad formats and create target user segments. The system includes processing logic that is configured to execute instructions of at least one software program of the format and targeting builder module to receive biometric data from devices of users and provide the options of custom scripting for creating and editing ad formats and targeting user segments with different categories.

Abstract: Methods and systems are described for providing advanced programmatic advertising targeting. In one embodiment, a system includes a storage medium to store instructions of one or more performance based algorithms and processing logic coupled to the storage medium. In response to receiving a function call from an advertising entity, the processing logic is configured to execute the instructions of the one or more performance based algorithms to analyze parameters of the function call including an advertising cost budget for an ad campaign and analyze advanced targeting data and parameters and rules for determining a customized ad campaign for the advertising entity. The advanced targeting data and parameters include device characteristics and user characteristics including at least one of conversion rate, ad engagement rate, installed software application (app) type on a user's device, and in-app purchase (IAP) activity of a user from any ad source.

Abstract: Methods and systems are described for providing communications to devices with a customized adaptive user experience. In one embodiment, a system includes a storage medium to store one or more software programs and a format and targeting builder unit to create and edit customizable ad formats and create target user segments. The system includes processing logic that is configured to execute instructions of at least one software program of the format and targeting builder module to receive biometric data from devices of users and provide the options of custom scripting for creating and editing ad formats and targeting user segments with different categories.

Abstract: Methods and systems are described for providing programmatic creation and modification of advertising services including advertising campaigns. In one embodiment, a system includes an advertising campaign framework having one or more application programming interfaces (APIs) and software components that include one or more software programs and software code libraries. A storage medium stores instructions of the one or more APIs and software components. Processing logic is coupled to the storage medium. The processing logic is configured to execute the instructions of the one or more APIs and software components to receive a function call from an ad campaign software of an advertising entity, to provide a set of functionality for programmatically creating an ad campaign and programmatically modifying an ad campaign, and to generate a response that is sent to the ad campaign software of the advertising entity.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience. In one embodiment, a system includes a user interface (UI) configurator to provide a custom scripting framework to create and edit customizable ad formats for display on a device. The ad system receives an ad request from the device with the ad request including different types of information including publisher settings of a selected software application on the device, an application id to identify the selected software application, placement information for timing placement of at least one ad or interstitial ad to be displayed on the device. The ad system processes the ad request to determine an ad format and timing placement of the at least one ad or interstitial ad based on the information contained in the ad request.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience. In one embodiment, a system includes a user interface (UI) configurator to provide a custom scripting framework to create and edit customizable ad formats for display on a device. The ad system receives an ad request from the device with the ad request including different types of information including publisher settings of a selected software application on the device, an application id to identify the selected software application, placement information for timing placement of at least one ad or interstitial ad to be displayed on the device. The ad system processes the ad request to determine an ad format and timing placement of the at least one ad or interstitial ad based on the information contained in the ad request.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

Abstract: One example includes a digital signal conditioner (DSC) system. A sample selector bank receives a digital sample block of an input signal that is provided at a supported input oversampling factor and selects a subset of samples from the digital sample block based on a selection signal. A tap weights selector bank generates a set of tap weights based on the selection signal. A filter bank receives the subset of the samples from each of the sample selectors and a respective set of tap weights. Each filter provides a weighted sample associated with the respective subset of samples and the respective set of tap weights. A reformattor receives the weighted sample from each of the filters and provides a filtered sample block including the weighted sample from a subset of the filters at an output oversampling factor for each supported input oversampling factor based on a selected supported resampling ratio.

Abstract: Methods and systems are described for selecting an engaging ad campaign among advertising campaigns having different types of bid strategies. In one embodiment, an advertising system designed for selecting relevant and engaging ad campaigns for delivering to a device of a user includes an adaptive decision unit having filter logic for filtering eligible ad campaigns, a storage medium to store instructions of the system, and processing logic coupled to the storage medium. The processing logic is configured to execute the instructions of the system to receive and process an ad request from the device upon initiation of a software application on the device, filter eligible ad campaigns, convert each bid strategy of the filtered ad campaigns into an effective cost-per-mille (CPM) strategy, compare effective CPM strategies for the filtered ad campaigns, and select an ad campaign based on the comparison of the effective CPM strategies.

Abstract: A battery system with a large-format Li-ion battery powers attached equipment by discharging battery cells distributed among a plurality of battery packs. The discharging of the battery cells is controlled in an efficient manner while preserving the expected life of the Li-ion battery cells. Each battery pack internally supports a battery management system and may have identical components, thus supporting an architecture that easily scales to higher power/energy. Battery packs may be added or removed without intervention with a user, where one of battery packs serves as a master battery pack and the remaining battery packs serve as slave battery packs. When the master battery pack is removed, one of the slave battery packs becomes the master battery pack. Charging and discharging of the battery cells is coordinated by the master battery pack with the slave battery packs over a communication channel such as a controller area network (CAN) bus.

Abstract: Methods and systems are described for dynamic ad selection of ads stored on a device. In one embodiment, a device includes a storage medium to store software programs including advertising services software and software applications. Processing logic is coupled to the storage medium and a display device. The processing logic is configured to execute instructions of at least one of the software programs to receive user input for initiating a software application on the device, determine attributes for the device including software applications currently operating in the storage medium and placement information for the initiated software application, and dynamically select one of the video ads stored on the device based on the attributes including software applications currently operating in the storage medium and placement information for the initiated software application.

Abstract: Methods and systems are described for providing advertising services to devices with a customized adaptive user experience. In one embodiment, a system includes a storage medium to store one or more software programs and a format and targeting builder unit to create and edit customizable ad formats and create target user segments. The system includes processing logic that is configured to execute instructions of at least one software program of the format and targeting builder module to provide the options of custom scripting for creating and editing ad formats and targeting user segments with different categories.

Abstract: Methods and systems are described for providing programmatic bidding of advertisement inventory. In one embodiment, an advertising system includes an ad bidding component or module of an ad server and a storage medium coupled to the ad server. The storage medium stores instructions including instructions of the ad bidding component or module. Processing logic is configured to execute the instructions to receive a bid campaign function call for an ad campaign from an advertising entity, determine objectives for the advertising entity including life time value (LTV) for users and return on investment (ROI) for the ad campaign, determine targeted users having characteristics appropriate for satisfying the objectives of the advertising entity, and autonomously determine a dynamic ad bid price parameter and associated group of targeted users that satisfy the objectives of the advertising entity based on having characteristics that satisfy at least three different parameters.

Abstract: One example includes a digital signal conditioner (DSC) system. A sample selector bank receives a digital sample block of an input signal that is provided at a supported input oversampling factor and selects a subset of samples from the digital sample block based on a selection signal. A tap weights selector bank generates a set of tap weights based on the selection signal. A filter bank receives the subset of the samples from each of the sample selectors and a respective set of tap weights. Each filter provides a weighted sample associated with the respective subset of samples and the respective set of tap weights. A reformattor receives the weighted sample from each of the filters and provides a filtered sample block including the weighted sample from a subset of the filters at an output oversampling factor for each supported input oversampling factor based on a selected supported resampling ratio.

Abstract: One example includes a digital signal conditioner (DSC) system. A sample selector bank receives a digital sample block of an input signal that is provided at a supported input oversampling factor and selects a subset of samples from the digital sample block based on a selection signal. A tap weights selector bank generates a set of tap weights based on the selection signal. A filter bank receives the subset of the samples from each of the sample selectors and a respective set of tap weights. Each filter provides a weighted sample associated with the respective subset of samples and the respective set of tap weights. A reformattor receives the weighted sample from each of the filters and provides a filtered sample block including the weighted sample from a subset of the filters at an output oversampling factor for each supported input oversampling factor based on a selected supported resampling ratio.

Abstract: One example includes a digital signal conditioner (DSC) system. A sample selector bank receives a digital sample block of an input signal that is provided at a supported input oversampling factor and selects a subset of samples from the digital sample block based on a selection signal. A tap weights selector bank generates a set of tap weights based on the selection signal. A filter bank receives the subset of the samples from each of the sample selectors and a respective set of tap weights. Each filter provides a weighted sample associated with the respective subset of samples and the respective set of tap weights. A reformattor receives the weighted sample from each of the filters and provides a filtered sample block including the weighted sample from a subset of the filters at an output oversampling factor for each supported input oversampling factor based on a selected supported resampling ratio.

Abstract: A network node (110) samples data packets of network traffic. For each sampled data packet, the network node (110) compares a packet header of the sampled data packet to a set of one or more packet header patterns. Depending on the comparison, the network node (110) determines a length of a packet header portion to be extracted from the sampled data packet. Then the network node (110) extracts the packet header portion of the determined length from the sampled data packet and generates a datagram comprising the extracted packet header portions of the sampled data packets.