Abstract: The Spring Impact Boxing Dummy is the only product of its kind that utilizes springs on a target to accurately depict a real life fighting experience to improve strike precision and exactitude. The disclosure is uniquely designed to resemble a human body and face and can be simply mounted onto any wall based on user preferences; therefore, providing users an effective means to train, burn calories in an effort to get in the best shape of their lives. A mount supports springs having a spring force set to a weight of a user of the boxing dummy. A frame is attached to the mount via the springs. The frame includes adjustable tracks for a height adjustment relative to the mount. The boxing dummy includes pads near a head and hands of the boxing dummy and is attached to the frame via the plates.

Abstract: Systems and methods are disclosed for providing a subscription service.

Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: A syringe assembly including: (1) a syringe barrel defining a chamber; (2) a plunger mounted in the chamber and moveable with respect to the barrel; and (3) a cap holder assembly containing a cap and an absorbent material removably attached to the syringe.

Abstract: A method and system is disclosed for tuning a machine learning classifier. An object class requirement may be provided and include rank thresholds. The object class requirements may also include a range goal that defines a minimum distance from the object the machine learning algorithm should not provide false positive results. A base classifier may be trained using a weighted loss function that includes one or more weight values that are computed using the one or more object class requirements. An output of the weighted loss function may be evaluated using an objective function which may be established using the one or more object class requirements. The one or more weights may also be re-tuned using the weighted loss function if the output of the weighted loss function does not converge within a predetermined loss threshold.

Abstract: A method and system is disclosed for creating a machine learning model that is reconfigurable. A fixed parameter model is created to include fixed feature values obtained during a training process for the machine learning model. The fixed parameter model may include a fixed base classifier used by the machine learning model to classify objects detected by an ultra-sonic system within a vicinity of a vehicle. A configurable parameter model may be created to include feature values that are different from the fixed feature values, the configurable parameter model including a modified base classifier. A vehicle controller may receive and update the fixed parameter model with the configurable parameter model. The machine learning model may be updated to use the configurable parameter model to classify the objects detected by the ultra-sonic system.

Abstract: A system and method is disclosed for classifying one or more objects within a vicinity of a vehicle. Ultra-sonic data may be received from a plurality of ultra-sonic sensors and may comprise echo signals indicating one or more objects that are proximally located within a vicinity of a vehicle. One or more features may be calculated from the ultra-sonic data using one or more signal processing algorithms unique to each of the plurality of ultra-sonic sensors. The one more features may be combined using a second-level signal processing algorithm to determine geometric relations for the one or more objects. The one or more features may then be statistically aggregated at an object level. The one or more objects may then be classified using a machine learning algorithm that compares an input of each of the one or more features to a trained classifier.

Abstract: A syringe assembly including: (1) a syringe barrel defining a chamber; (2) a plunger mounted in the chamber and moveable with respect to the barrel; and (3) a cap holder assembly containing a cap and an absorbent material removably attached to the syringe.

Abstract: Providing custom machine learning models to client computer systems. Multiple machine learning models are accessed. Client-specific data for multiple client computer systems are also accessed. For each of at least some of the client computer systems, performing the following actions: First, using the corresponding client-specific data for the corresponding client computer system to determine which subset of the multiple machine learning models is applicable to the corresponding client computer system. The subset of the multiple machine learning models includes more than one of the multiple machine learning models. Then, aggregating the determined subset of the multiple machine learning models to generate an aggregated subset of machine learning models that is customized to the corresponding client computer system.

Abstract: A soot sensing system includes a soot sensor having a first element, and circuitry to an amount of soot accumulated on the element and to control heating of the element in response to the soot accumulation. An electrostatic repelling voltage (ERV) may be applied to a sensor/heater element(s) during a contamination prevention mode (CPM) to repel ash and reduce contamination of the sensor. A pulsed heating voltage (PHV) may be applied to the elements during the CPM and a pulsed ERV may be applied to the elements during the “off” period of the PHV. All voltage to the elements may be turned off during the CPM and the elements may be floating/ground. A PHV may be applied to the elements during the CPM and no voltage may be applied to the elements during the “off” period of the PHV. A heating voltage may be applied to the elements during a CPM corresponding to a cold start.

Abstract: The Spring Impact Boxing Dummy is the only product of its kind that utilizes springs on a target to accurately depict a real life fighting experience to improve strike precision and exactitude. The disclosure is uniquely designed to resemble a human body and face and can be simply mounted onto any wall based on user preferences; therefore, providing users an effective means to train, burn calories in an effort to get in the best shape of their lives. A mount supports springs having a spring force set to a weight of a user of the boxing dummy. A frame is attached to the mount via the springs. The frame includes adjustable tracks for a height adjustment relative to the mount. The boxing dummy includes pads near a head and hands of the boxing dummy and is attached to the frame via the plates.

Abstract: The invention relates to (among other things) polymer-des-ethyl sunitinib conjugates and related compounds. A compound of the invention, when administered by any of a number of administration routes, exhibits advantages over des-ethyl sunitinib in unconjugated form.

Abstract: A parking management system includes a rate increment generator operable to: compute one or more rate increments based on at least one of: a vehicle identification, a time of day, a local parking policy, a local events, a parking congestion, and a temporary rule; store the at least one rate increment; and transmit the at least one rate increment in response to an inquiry from a user interface.

Abstract: A syringe assembly including: (1) a syringe barrel defining a chamber; (2) a plunger mounted in the chamber and moveable with respect to the barrel; and (3) a cap holder assembly containing a cap and an absorbent material removably attached to the syringe.

Abstract: A model predictive controller for a performing stateless prediction. Using dosed form algebraic expressions for the step test in a dynamic matrix eliminates the requirement for individual calculation on each element. With both the dynamic matrix and the vector of predicted errors written in terms of discrete algebraic equations, the control law is written as a function of the current state of the system. The control law is then be reduced to its minimal form, which leaves the next control action to be a function of the system parameters, the past errors, and the past control actions. Since the system parameters are constant, this controller is then be reduced into a single discrete equation. This greatly reduces the computations required in each control loop iteration.

Abstract: A waterproof, mildew resistant, cover for a water backflow prevention apparatus is provided that provides protection of the apparatus's control from UV damage is provided. The cover is constructed from a closed-cell polymeric foam and can be cut to fit when installed. The cover can be anchored to stakes in the ground to prevent dislodgment by wind or animals. The installed cover's open end can take advantage of heat in the ground to maximize the cover's internal temperature when the cover is exposed to low air temperatures.

Abstract: A syringe assembly including: (1) a syringe barrel defining a chamber; (2) a plunger mounted in the chamber and moveable with respect to the barrel; and (3) a cap holder assembly containing a cap and an absorbent material removably attached to the syringe.

Abstract: A soot sensor system and a method of sensing soot in a vehicle soot sensor system. The soot sensor system and method includes providing a soot sensor having at least one trace of conductive material in a continuous loop on a surface of a substrate, applying an alternating current (AC) input voltage to the at least one trace of conductive material to establish an AC sense current through the at least one trace of conductive material, and generating, using a peak detector, a peak detector output voltage representative of a peak value of the AC sense current and of an amount of soot accumulated on the soot sensor.