Abstract: A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.

Abstract: Described are computing systems and methods configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. An operational visual includes a radar-based visual with a heatmap arranging metrics, and a node representing a state of the metrics. Moreover, the system uses an ensemble of unsupervised machine learning algorithms for multi-dimensional clustering of hundreds of thousands of monitored metrics. Via the visuals and the implementation of the machine learning algorithms, the described techniques provide an improved way of representing and simulating many metrics being monitored for a platform. Moreover, the techniques are configured to expose actionable and useful information associated with the platform in a manner that can be effectively interpreted.

Abstract: A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.

Abstract: A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform being monitored. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. Moreover, the system uses an ensemble of machine learning algorithms, with a multi-agent voting system, to detect the anomaly. Therefore, via the display of the visuals and the implementation of the machine learning algorithms, the techniques described herein provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose actionable and useful information associated with the platform in a manner that can be effectively interpreted by a user.

Abstract: A system is configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. A first visual includes a radar-based visual that renders an object representing data for a set of metrics being monitored. A second visual includes a tree map visual that includes sections where each section is associated with an attribute used to compose the set of metrics. Via the display of the visuals, the techniques provide an improved way of representing a large number of metrics (e.g., hundreds, thousands, etc.) being monitored for a platform. Moreover, the techniques are configured to expose useful information associated with the platform in a manner that can be effectively interpreted by a user.

Abstract: A machine learning (“ML”) pipeline that includes unsupervised learning, supervised learning, and Bayesian learning is utilized to train a ML classifier that can classify machine metrics as being indicative of an anomaly. A boosting process can be utilized during the unsupervised learning portion of the ML pipeline that scores clusters of training data for completeness, and further splits clusters of training data based upon the completeness scores in order to optimize the clustering of the training data. Supervised learning is then performed on the cluster-labeled training data. Bayesian learning can also be utilized to assign incident probability inferences to the clusters of training data. Once the ML classifier has been trained, the ML classifier can be utilized in a production environment to classify multi-dimensional machine metrics generated by computing devices in the production environment as being indicative of an anomaly.

Abstract: A transceiver includes a frequency modulation continuous wave generator to generate a frequency sequence and a digital phase locked loop to generate a waveform based on the frequency sequence. The digital phase locked loop includes a plurality of control registers. A main controller captures a reference state defined in the plurality of configuration registers prior to the frequency sequence, initiates the frequency sequence, restores the reference state of the configuration registers after completion of the frequency sequence, and repeats the frequency sequence after restoring the reference state.

Abstract: The invention relates to a food additive which includes at least one clay interspersed with volatile antimicrobial agents. Such an additive can be added to the feed of certain animals, in particular poultry and ruminants, in order to act as a growth promoter and to reduce the risks of infection, as well as the risks of intoxication by mycotoxins.

Abstract: A desalination system includes a vertical column with a lower end submerged into a body of liquid to be treated. The column has a dark-colored outer surface able to absorb electromagnetic energy, and at least one vacuum compressor is connected to provide a vacuum pressure in the vertical column such that the liquid is drawn into the vertical column through openings in the vertical column. A condensing dome has a main shell and that receives vapor of the liquid in the vertical column via a vapor port joining the vertical column and the condensing dome. A wind-driven outer turbine surrounds the main shell of the condensing dome and draws outside air into a space around the main shell of the condensing dome. A tank is connected to the condensing dome via a pipe and receives desalinated liquid from the condensing dome.

Abstract: An air blower has an inlet muffler and an outlet muffler to reduce the noise of the air blower during operation. Each of the mufflers may have two sections. One section is configured to attenuate high frequency noise and the other section is configured to attenuate lower frequency noise. A tubular internal wall in each of the mufflers defines the through passage for each of the mufflers. A noise absorbent material may be fitted about the tubular wall within each muffler. A plurality of holes are formed along the tubular wall of each through passage to expose the through passage to the noise absorbent material. A heater plenum may be interposed between the blower plenum and the outlet muffler to heat the air from the blower plenum. A filter at the input muffler filters the air sucked into the air blower.

Abstract: A desalination system includes a vertical column with a lower end submerged into a body of liquid to be treated. The column has a dark-colored outer surface able to absorb electromagnetic energy, and at least one vacuum compressor is connected to provide a vacuum pressure in the vertical column such that the liquid is drawn into the vertical column through openings in the vertical column. A condensing dome has a main shell and that receives vapor of the liquid in the vertical column via a vapor port joining the vertical column and the condensing dome. A wind-driven outer turbine surrounds the main shell of the condensing dome and draws outside air into a space around the main shell of the condensing dome. A tank is connected to the condensing dome via a pipe and receives desalinated liquid from the condensing dome.

Abstract: An apparatus includes a multidirectional positioning system, a scanner, a filling head and a scrubbing head. The scanner scans the volume of a three-dimensional road damage, and the scanner is attached to the multidirectional positioning system. The scrubbing head prepares the surface of the three-dimensional road damage, and the scrubbing head is affixed to the multidirectional positioning system. A processor receives volume data of the three-dimensional road damage and stores the volume data in a data storage memory. The filling head is attached to the multidirectional positioning system, and the filling head is controlled to move with respect to a shape of the three-dimensional road damage based on the volume data stored in the processor so as to fill in the three-dimensional road damage with a filling material.

Abstract: An apparatus including a multidirectional positioning system and a scanner. The scanner scans the volume of a three-dimensional cavity, and the scanner is attached to the multidirectional positioning system. A processor receives volume data of the cavity and stores the volume data in a data storage memory. A material depositing mechanism is attached to the multidirectional positioning system, and the material depositing mechanism is controlled to move with respect to a shape of the cavity based on the volume data stored in the processor so as to fill in the cavity with a filler material.

Abstract: An apparatus including a multidirectional positioning system and a scanner. The scanner scans the volume of a three-dimensional cavity, and the scanner is attached to the multidirectional positioning system. A processor receives volume data of the cavity and stores the volume data in a data storage memory. A material depositing mechanism is attached to the multidirectional positioning system, and the material depositing mechanism is controlled to move with respect to a shape of the cavity based on the volume data stored in the processor so as to fill in the cavity with a filler material.

Abstract: An apparatus includes a multidirectional positioning system, a scanner, a filling head and a scrubbing head. The scanner scans the volume of a three-dimensional road damage, and the scanner is attached to the multidirectional positioning system. The scrubbing head prepares the surface of the three-dimensional road damage, and the scrubbing head is affixed to the multidirectional positioning system. A processor receives volume data of the three-dimensional road damage and stores the volume data in a data storage memory. The filling head is attached to the multidirectional positioning system, and the filling head is controlled to move with respect to a shape of the three-dimensional road damage based on the volume data stored in the processor so as to fill in the three-dimensional road damage with a filling material.

Abstract: A very fast lock integer N PLL with hybrid digital coarse VCO tuning and VCO temperature drift compensation provides for a fully digital tuning scheme without the need for charge pumps. A PLL synthesizer (300) using such a PLL design provides for very fast lock times by using an open loop step and a closed loop step. The hybrid PLL can achieve coarse tuning within four clock cycles, while minimizing any errors caused by the VCO non-linearity. Temperature tracking and compensation is also provided. A SAR implementation (100) and an interpolation tuning implementation (200) are also described.

Abstract: A very fast lock integer N PLL with hybrid digital coarse VCO tuning and VCO temperature drift compensation provides for a fully digital tuning scheme without the need for charge pumps. A PLL synthesizer (300) using such a PLL design provides for very fast lock times by using an open loop step and a closed loop step. The hybrid PLL can achieve coarse tuning within four clock cycles, while minimizing any errors caused by the VCO non-linearity. Temperature tracking and compensation is also provided. A SAR implementation (100) and an interpolation tuning implementation (200) are also described.

Abstract: The present invention discusses fractional compensation timing circuitry (15) to track a VCO output frequency, fO, and provide highly effective error cancellation in a fractional-N PLL synthesizer. This output frequency tracking is used to suppress spurious sidebands, commonly known as spurs, in both fixed-band and multi-band wireless transceiver applications which use fractional-N PLL synthesizers. Some of the critical parameters which benefit from this type of PLL include switching time, phase noise, and reference feed-through.