106 results about "Feedback loop" patented technology

Certain example embodiments relate to systems and / or methods for determining and / or executing an appropriate subset of tests in response to a code change. In certain example embodiments, hash digests or other unique values for code structures (such as, for example, classes, methods, and / or other structural elements) may be created. Tests associated those associated code structures may be identified. New hash digests or other unique values may be generated for the code structures after the source code has been modified. In response to a mismatch as between the existing and new hash digests or other unique values, a list of associated tests for possible subsequent execution may be retrieved. Certain example embodiments additionally or alternatively provide an incremental but consistent way of analyzing performance issues, e.g., in connection with a profiler.

A system for providing and managing a laminar flow of filtered air for a clean room workspace has a blower for blowing air through a filter and over the work area. The velocity of air flowing through the filter is automatically controlled by a feedback loop wherein sensors enable the system to learn of a drop in flow, or even a flow rate that strays above a set point, and to then take action to change settings of the variable frequency drive which, in turn, vary the current to the motors causing a change in blower speed. The system's programmable logic control also provides for automatic recording and storing of data relating to the operating characteristics of the system, including the date and time that the operating characteristics were recorded. The recording may be done in a manner so as not to be editable by the system operator, which makes such record compliant with federal regulations.

A control system provides an aggregate driven quantity demand signal for controlling an actuatable component. The system has a summing junction which generates the aggregate driven quantity demand signal by summing a first output signal, which converges on a steady state driven quantity requirement value, and a change in driven quantity demand signal. The system further has a feedback loop which generates the first output signal in response to the aggregate driven quantity demand signal. The system also has a first variable gain which tunes the change in driven quantity demand signal in response to a reference demand signal. The feedback loop includes a second variable gain which tunes the rate at which the first output signal converges on the steady state driven quantity requirement value. Typically, the reference demand signal corresponds to a desired value or desired change in value of a parameter which is itself varied or controlled by actuation of the actuatable component.

In devices using the present invention, audible artifacts may be reduced or eliminated by designing the system such that the sliding bias level is fed back to an output limiter so that a single algorithm manages all saturation artifacts. In embodiments of the invention, this feedback loop will eliminate the need for a second output limiter.

The invention discloses lightweight authentication equipment based on a feedback loop PUF. The lightweight authentication equipment comprises an N-bit linear feedback shift register, an N-bit arbiterPUF module, an M-bit counter module, an eFuse-based feedback network module and an output D trigger module, Under the control of the clock period CLK, every time one clock period is passed, the N-bitlinear feedback shift register module outputs a new value, and the N-bit arbiter PUF module outputs a new response; and under the control of the clock 2 ^ M frequency division signal CLK _ 2 ^ M, a certain response of the N-bit arbiter PUF module is used as the final output Out of the output D trigger module. Authentication method based on device does not need to store a large number of excitations. According to the response pair, the flexibility on the existing machine learning attack is improved, and the advantages of low cost and high security are attractive to resource-limited equipment inan edge network.

The present invention extends to methods, systems, and computer program products for automatically generating and refining health models. Embodiments of the invention use machine learning tools to analyze historical telemetry data from a server deployment. The tools output fingerprints, for example, small groupings of specific metrics-plus-behavioral parameters, that uniquely identify and describe past problem events mined from the historical data. Embodiments automatically translate the fingerprints into health models that can be directly applied to monitoring the running system. Fully-automated feedback loops for identifying past problems and giving advance notice as those problems emerge in the future is facilitated without any operator intervention. In some embodiments, a single portion of expert knowledge, for example, Key Performance Indicator (KPI) data, initiates health model generation. Once initiated, the feedback loop can be fully automated to access further telemetry and refine health models based on the further telemetry.

A personality model is created for a population and used as an input to a text generation system. Alternative texts are created based upon the emotional effect of the generated text. Certain words or phrases are “pinned” in the output, reducing the variability of the generated text so as to preserve required information content, and a number of tests provide input to a discriminator network so that proposed outputs both match an outside objective regarding the information content, emotional affect, and grammatical acceptability. A feedback loop provides new “ground truth” data points for refining the personality model and associated generated text.

System and method for elimination of close-in interferers through feedback. A preferred embodiment comprises an interferer predictor (for example, interferer predictor 840) coupled to a digital output of a direct RF radio receiver (for example, radio receiver 800). The interferer predictor predicts the presence of interferers and feeds the information back to a sampling unit (for example, sampling unit 805) through a feedback circuit (for example, feedback unit 845) through the use of charge sharing. The interferers are then eliminated in the sampling unit. Additionally, the number and placement of zeroes in a filter in the sampling unit is increased and changed through the implementation of arbitrary-coefficient finite impulse response filters.

By performing a comparison of words spoken by a speaker and defined material which is presented to the speaker, information can be determined which allows for the convenient control of the presentation of material and external devices. A comparison of a speaker's words with defined material can be beneficially used as an input for controlling the operation of an exercise apparatus, video games, material presented to an audience, and the presentation of the material itself. Similar feedback loops can also be used with measurement and stimulation of neurophysiologic states, to make the activity of reading more enjoyable and convenient, or for other purposes.

A personality model is created for a population and used as an input to a text generation system. Alternative texts are created based upon the emotional effect of the generated text. Certain words or phrases are “pinned” in the output, reducing the variability of the generated text so as to preserve required information content, and a number of tests provide input to a discriminator network so that proposed outputs both match an outside objective regarding the information content, emotional affect, and grammatical acceptability. A feedback loop provides new “ground truth” data points for refining the personality model and associated generated text.

The invention relates to distributed network flow combined optimization system and method based on feedback. The system comprises a combined optimization and control service unit and an adaptive adjustment unit, wherein the combined optimization and control service unit is used for constructing a feedback loop between an ISP (Internet Service Provider) and a network application, the ISP automatically releases feedback information to the resource service condition of a network of the ISP through the feedback loop, and the network application acquires the feedback information through the feedback loop; the adaptive adjustment unit is used for adaptively adjusting the network resource service of the network application according to the feedback information after the network application receives the feedback information. The invention allows and realizes cooperation between the ISP and the network application through safe and secure feedback, and the distributed optimization and control of network flow and network efficiency through the joint of the ISP and the network application; the feedback and the joint optimization and control do not require the application to know about particular network and the particular application of the network, and thus, the win-win purposes of saving bandwidth and optimizing network resource configuration for the ISP and improving the performance and terminal user experience for the network application are achieved.

The invention relates to an adaptive PAM4 decision feedback equalization circuit, which comprises a decision feedback equalization main circuit and an adaptive circuit, and is characterized in that the main circuit comprises an adder, a first decision device, a second decision device, a third decision device, a first delay unit group, a second delay unit group, a third delay unit group, a decoder and a DSP coefficient table; and the self-adaptive circuit comprises an eye pattern monitoring module and a self-adaptive module, wherein the self-adaptive module comprises a comparison unit, a delay unit and a coefficient regulation and control unit. According to the invention, the DSP technology replaces a multiplier and an adder in a decision feedback equalization feedback loop, the design of a front-end circuit ADC is omitted, the power consumption is effectively reduced, and the influence of ADC quantization noise on signals is avoided. Meanwhile, automatic updating of coefficients is achieved through eye pattern monitoring and a self-adaptive algorithm, and the application scene of decision feedback balance is widened.

A power factor controller is disclosed, in which error feedback is provided my means of a parallel combination of at least two error feedback channels. By providing at least two error feedback channels, the stability associated with, for instance, a continuously integrated feedback loop with relatively long time constant, may be combined with a fast transient response associated with, for instance, a sample-and-hold error feedback.A method of operating such a power factor controller is also disclosed.