Abstract: A cast structure configured to support a suspension arm and motor mount assembly for a vehicle is disclosed. The cast structure comprises a first fixing point attachable to a first mounting feature of a first crossmember of a vehicle frame, a first feature configured to receive the suspension arm of the vehicle in an assembled configuration, and a first portion configured to support a motor of the vehicle in an assembled configuration.

Abstract: An apparatus is arranged to receive and retain a needle shield for a medicament delivery device, the apparatus comprising a body comprising a wall defining a void and an opening in a proximal end of the body, the opening arranged to allow at least a part of the needle shield to be received into, and at least partially fill, the void, and arms extending from the wall into the void, wherein the arms are configured to engage the needle shield when the needle shield is received in the void and prevent the needle shield from being withdrawn from the void through the opening in the proximal end and wherein at least one of the arms has a first angle with respect to the wall and at least one of the arms has a second angle with respect to the wall that is different to the first angle.

Abstract: Described is a drive unit (1) for a drug delivery device comprising a carrier (3), a plunger (4) arranged within the carrier (3) and slidable in a direction of a longitudinal axis (A), a drive spring (5) arranged for biasing the plunger (4) in a distal direction (D) relative the carrier (3), and a drive force adaption mechanism (22) for modifying a force exerted by the drive spring (5) on the plunger (4).

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing distributed correlation to determine a probable cause for a performance problem detected in an application. An embodiment operates by triggering an alert for a performance metric of an application executing on a local-level node. The alert may be sent to a higher-level node. Upon receiving the alert, the higher-level node may send a distributed correlation request, used to determine a root cause of the alert, to the lower-level node. Upon receiving the distributed correlation request, the lower-level node may produce and send a correlation result to the higher-level node. Upon receiving the correlation result, the higher-level node may select the probable cause of triggering the alert based on the correlation result. The probable cause may then be presented to the user.

Abstract: A programmable amplifier includes an amplifier, an input capacitor, a feedback circuit, and a high-pass filter circuit. The amplifier has an input coupled to the input capacitor for receiving an input signal. The feedback circuit includes multiple feedback capacitors of differing capacitance values that are each selectively coupled between the output of the amplifier and the input of the amplifier using multiple first switches. The high-pass filter circuit includes multiple switched capacitors of differing capacitance values that are each selectively coupled between the amplifier output and a ground node using multiple second switches. The first switches are configured to be selectively switched on for activating at least one feedback capacitor to adjust a gain of the amplifier, while the second switches are configured to be selectively switched at a first and second phase of a clock signal to adjust a high-pass cutoff frequency of the amplifier independently of how the gain is adjusted.

Abstract: A programmable amplifier includes an amplifier, an input capacitor, a feedback circuit, and a high-pass filter circuit. The amplifier has an input coupled to the input capacitor for receiving an input signal. The feedback circuit includes multiple feedback capacitors of differing capacitance values that are each selectively coupled between the output of the amplifier and the input of the amplifier using multiple first switches. The high-pass filter circuit includes multiple switched capacitors of differing capacitance values that are each selectively coupled between the amplifier output and a ground node using multiple second switches. The first switches are configured to be selectively switched on for activating at least one feedback capacitor to adjust a gain of the amplifier, while the second switches are configured to be selectively switched at a first and second phase of a clock signal to adjust a high-pass cutoff frequency of the amplifier independently of how the gain is adjusted.

Abstract: Disclosed herein are system, method, and computer program product embodiments for performing distributed correlation to determine a probable cause for a performance problem detected in an application. An embodiment operates by triggering an alert for a performance metric of an application executing on a local-level node. The alert may be sent to a higher-level node. Upon receiving the alert, the higher-level node may send a distributed correlation request, used to determine a root cause of the alert, to the lower-level node. Upon receiving the distributed correlation request, the lower-level node may produce and send a correlation result to the higher-level node. Upon receiving the correlation result, the higher-level node may select the probable cause of triggering the alert based on the correlation result. The probable cause may then be presented to the user.

Abstract: Traffic flow between each pair of nodes in a network may be modeled based on loads measured at each link and based on gravity measures associated with each node. Gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic. Gravity objectives are assigned to nodes to serve as an objective for a node's performance. These gravity objectives may be based on qualitative characteristics associated with each node. Because the assigned gravity objectives may be subjective, the gravity measures are used to generate a quantitative function for determining whether a network can achieve these gravity objectives. In one embodiment, link loads are allocated to traffic flows between nodes and current gravity measures are determined. Changes to link loads and traffic flows may then be modeled to minimize a difference between the assigned gravity measures and the gravity measures.

Abstract: Traffic flow between each pair of nodes in a network may be modeled based on loads measured at each link and based on gravity measures associated with each node. Gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic. Gravity objectives are assigned to nodes to serve as an objective for a node's performance. These gravity objectives may be based on qualitative characteristics associated with each node. Because the assigned gravity objectives may be subjective, the gravity measures are used to generate a quantitative function for determining whether a network can achieve these gravity objectives. In one embodiment, link loads are allocated to traffic flows between nodes and current gravity measures are determined. Changes to link loads and traffic flows may then be modeled to minimize a difference between the assigned gravity measures and the gravity measures.

Abstract: A computer implemented method monitors a computer to determine values of a plurality of activity metrics of the monitored computer. A weighted combination of functions of the determined values is calculated as a measure of performance of the monitored computer. The weighted combination may be a weighted combination of net values of the activity metrics. In one method, the net values are calculated as the determined values of the plurality of activity metrics of the monitored computer excluding contributions to the values from one or more predetermined activities. In another method, the net values are calculated as total values of the respective activity metrics from which the total values of the one or more predetermined activities are subtracted. The weighted combination may be used to control power consumption or otherwise take action in relation to the computer.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures. The gravity measures correspond to a likelihood of the node being a source or a sink of traffic and may be assigned based on characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. The gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures. The gravity measures correspond to a likelihood of the node being a source or a sink of traffic and may be assigned based on characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. The gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: Traffic flow between each pair of nodes in a network are determined based on loads measured at each link and based on gravity measures associated with each node. The gravity measures correspond to a relative likelihood of the node being a source or a sink of traffic, and may be assigned based on ‘soft’ characteristics associated with each node, such as the demographics of the region in which the node is located, prior sinking and sourcing statistics, and so on. Because the assigned gravities are relatively subjective, the gravity measures are used to generate an objective function for solving a system of linear equations, rather than as criteria that must be satisfied in the solution. The measured link loads are allocated among the traffic flows between nodes to at least a given allocation efficiency criteria by solving a system of linear equations with an objective of minimizing a difference between the assigned gravities and the resultant gravities corresponding to the determined flows.

Abstract: A system and method for analyzing network traffic activity by displaying a collection of flow objects and receiving a user's selection of a traffic operation that is to be applied to a set of selected flow objects. Thereafter, the results of applying the traffic operation to the selected flow objects are displayed. The traffic operation may include a merge operation that provides statistics related to an aggregation of the flow objects. The traffic operation may also include a modification operation that modifies the selected flow objects, including, for example, a modification based on predicted traffic flow. Other traffic operations may also be provided, including providing access to plug-in traffic operation applications.

Abstract: A computer implemented method of monitoring the performance of a computer comprises monitoring the computer to determine the values of a plurality of activity metrics of the monitored computer. A weighted combination of functions of the determined values is calculated as a measure of performance of the monitored computer. The weighted combination may be a weighted combination of net values of activity metrics. In one embodiment, the net values are calculated as the said values of the plurality of activity metrics of the monitored computer excluding contributions to the values from the one or more predetermined activities. In another embodiment, the net values are calculated as follows. The total values of the respective activity metrics of the monitored computer are determined. The contribution(s) to the said total values of the said one or more predetermined activities are determined The said contribution(s) are subtracted from the said total values to provide net values.

Abstract: A path-flow formulation of defining MPLS FRR bypass LSPs is presented. The path-flow formulation comprises first identifying a set of candidate bypass LSPs, each of which meets various network constraints and has an explicit route around a network facility to be protected. The constraints may include Quality of Service (QoS) guarantees, implementation requirements, network element resource limitations, and resiliency requirements. The constraints may be user-selected, and may be non-linear. The set of candidate bypass LSPs form a linear programming (LP) problem, or an integer linear programming (ILP) problem if the allowable number of bypass LSPs is constrained. In an optimization step, LP solutions are used to select the bypass LSPs from among the candidate bypass LSPs by allocating bandwidth to them.

Abstract: An interactive system and method automates the control and management of routing changes that are focused on specific routes or particular network hot spots. Based on the premise that the user is aware of a particular problem that needs to be solved, the system leads the user through an end-to-end process from the identification of the problem to the generation of configuration instructions for effecting a selected solution. A graphic user interface provides a visualization of the current routing and alternative routings, to facilitate the analysis and selection of an improved routing, if any. Throughout the process, the effect of each proposed routing change on the overall network performance is determined, so that the selection of a preferred solution can be made in the appropriate context, and globally sub-optimal solutions can be avoided.

Abstract: Devices and methods for modeling and analysis of services provided over a common network include a processor configured to track services connected to the common network through nodes and links; run service models associated with the services under selected conditions, the selected conditions including failure and repair of one of the nodes or links; and propose corrective action and/or change of network resources of the common network to minimize impact of the failure. The processor may also run Network models. The models may be executed successively or simultaneously, and outputs of one model may be used as input to other models, including any necessary conversions for compatibility.