Abstract: A method for data inspection includes upon receiving an out-of-order part of a sequence of parts, checking the out-of-order part for matching in forward and backward direction of the sequence; temporarily saving a forward state and a backward state of said both checkings; and upon receiving an in-order part of the sequence, checking the in-order part for matching in the forward direction of the sequence and if the in-order packet is within a gap between the first part and the last part of the sequence the in-order part is also checked for matching in backward direction of the sequence. The backward state or the forward and backward state are updated or temporarily saved.

Abstract: A system for measuring sulphite in food samples is provided using a biosensor, a method for determining sulphite in food samples using the biosensor, and the biosensor for measuring the sulphite values in food samples. The system uses an amperometric biosensor having a bi-enzymatic system, a working electrode, a counter electrode and a reference electrode. The bi-enzymatic system has the human sulphite oxidase and peroxidase enzymes, and the immobilisation of the enzymes in the working electrode is carried out via simple physical retention. The mixture of the enzymes is mixed with a chemical mediator by applying a sample to the amperometric biosensor; changing the electrical current upon coming into contact with the analyte to be detected; and amperometrically measuring said electrical current in solutions with continuous agitation, using a constant potential.

Abstract: Technologies are generally described for systems, devices and methods relating to a machine learning environment. In some examples, a processor may identify a training distribution of a training data. The processor may identify information about a test distribution of a test data. The processor may identify a coordinate of the training data and the test data. The processor may determine, for the coordinate, differences between the test distribution and the training distribution. The processor may determine weights based on the differences. The weights may be adapted to cause the training distribution to conform to the test distribution when the weights are applied to the training distribution.

Abstract: Technologies are generally described for systems, devices and methods relating to determining weights in a machine learning environment. In some examples, a training distribution of training data may be identified, information about a test distribution of test data, and a coordinate of the training data and the test data may be identified. Differences between the test distribution and the training distribution may be determined, for the coordinate. A weight importance parameter may be identified, for the coordinate. A processor may calculate weights based on the differences, and based on the weight importance parameter. The weights may be adapted to cause the training distribution to conform to the test distribution at a degree of conformance. The degree of conformance may be based on the weight importance parameter.

Abstract: Technologies are generally described for systems, devices and methods relating to a machine learning environment. In some examples, a processor may identify a training distribution of a training data. The processor may identify information about a test distribution of a test data. The processor may identify a coordinate of the training data and the test data. The processor may determine, for the coordinate, differences between the test distribution and the training distribution. The processor may determine weights based on the differences. The weights may be adapted to cause the training distribution to conform to the test distribution when the weights are applied to the training distribution.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a portion of the stream present at the level of at least one plate located between the plate for supplying hydrocracked effluent and the plate for withdrawing the distillate fraction which is the heaviest is withdrawn from the fractionation column and at least a portion of said withdrawn stream is recycled to the column directly or after optional liquid separation, and optionally a portion of said withdrawn stream is recycled to the hydrocracking step directly or after optional gas separation.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a portion of the stream present at the level of at least one plate (I) which is the supply plate or a plate located between the supply plate and said residue evacuation point, or if stripping gas is injected, between the supply plate and said stripping gas injection point, is withdrawn from the fractionation column. A portion, preferably all, of said withdrawn stream is recycled to the hydrocracking step directly or after optional separation of the gases. The residue is purged in its entirety. In a preferred embodiment, a portion of the stream present at the level of at least one plate (II) located between the supply plate and the plate for withdrawing the heaviest distillate fraction is also withdrawn from the column.

Abstract: The invention concerns a process and a facility for reducing the concentration of heavy polycyclic aromatic compounds (HPNA) in the recycle loop of hydrocracking units, which comprises a fractionation column. In accordance with this process, a stream is withdrawn from the fractionation column at the level of at least one plate located between the supply plate and the plate for withdrawing the heaviest distillate fraction; the stream is stripped in an external stripping step by a stripping gas, in the presence of a portion of the residue. The separated gaseous effluent is recycled to the column, advantageously as a stripping gas, and the liquid fraction is recycled to the hydrocracking step; a residue is purged in the stripping step.

Abstract: A method for determining an identity of a URL visited by a user from a vantage point in a network in which network traffic is encrypted includes determining a host to model, generating a list of URLs hosted by the host to model, repeatedly retrieving web resources referenced by the list of URLs hosted by the host to model and generating a network traffic signature upon each retrieval, generating a data feature for each of the generated network traffic signatures, and training, using the generated data features, a classifier corresponding to the host to model, wherein the classifier is configured to determine an identity of the visited URL from a signature of network traffic produced by the retrieval of a resource referenced by the visited URL.

Abstract: Verifying system and method for verifying the disconnecting means of a DC/AC converter which are connected in series through a midpoint in each phase between the converter and a power grid. The system comprises voltage detectors and a control unit in communication with said detectors and configured for determining the status of the disconnecting means depending on said voltages. The detectors comprise a detector associated with each phase for measuring the voltages between the corresponding midpoint and the neutral of the power grid, and an additional detector for measuring the voltage between said neutral and a reference point of the converter.

Abstract: A method for manufacturing long lasting phosphorescent fabrics and articles of clothing including fabric for use in fields such as security, domestic, sports, health, professional, etc., includes (i) preparing a composition for dyeing having a strontium aluminate pigment doped with europium and dysprosium; (ii) coating a starting fabric with the composition by air knife coating or cylinder; (iii) drying; and (iv) polymerizing. The fabrics thus obtained have long lasting phosphorescent properties and a high resistance to washing, maintaining the factory specifications of the starting fabric with respect to its mechanical properties, comfort, breathability and/or high visibility properties, if relevant.

Abstract: The present invention relates to a control system and control method for controlling a switching device (1) integrated in an electronic converter, the object of which is to extend the working voltage range of the switching devices and thus increase the power of the electronic DC/AC converter which prepares the energy produced by a energy generating system and injects it into the electrical grid. It basically comprises a voltage source (3), a capacitance (7), a first gate resistor (21) and a second gate resistor (22), a first circuit formed by a series resistor (6) with a first diode (5), a second circuit formed by a second diode (4) and a connecting element (8) controlled by a control unit (12) that controls the opening and closing thereof. Another object of the present invention is a switching cell for an electronic converter comprising said control system.

Abstract: Technologies are generally described for methods and systems in a machine learning environment. In an example, a method may include receiving training data and test data. The method may also include determining a set of out of sample errors based on the training data and test data. The method may also include determining a set of gradient values based on the out of sample errors. Each gradient value may relate to a first magnitude and to a second magnitude. The first magnitude may be associated with the set of out of sample errors. The second magnitude may be associated with out of sample errors of a portion of the training data excluding a particular point of the test data. The method may also include transforming the set of gradient values into modified density data. The method may also include generating alternative training data based on the modified density data.

Abstract: Technologies are generally described for methods and systems effective to determine a weight benefit associated with application of weights to training data in a machine learning environment. In an example, a device may determine a first function based on the training data, where the training data includes training inputs and training labels. The device may determine a second function based on weighted training data, which is based on application of weights to the training data. The device may determine a third function based on target data, where the target data is generated based on a target function. The target data may include target labels different from the training labels. The device may determine a fourth function based on weighted target data, which is a result of application of weights to the target data. The device may determine the weight benefit based on the first, second, third, and fourth functions.

Abstract: The present invention relates to a control system and control method for controlling a switching device (1) integrated in an electronic converter, the object of which is to extend the working voltage range of the switching devices and thus increase the power of the electronic DC/AC converter which prepares the energy produced by a energy generating system and injects it into the electrical grid. It basically comprises a voltage source (3), a capacitance (7), a first gate resistor (21) and a second gate resistor (22), a first circuit formed by a series resistor (6) with a first diode (5), a second circuit formed by a second diode (4) and a connecting element (8) controlled by a control unit (12) that controls the opening and closing thereof. Another object of the present invention is a switching cell for an electronic converter comprising said control system.

Abstract: According to various embodiments, a cavitation sensor for detecting bubbles in a liquid is provided. The cavitation sensor may include: a substrate having an insulative surface; and an electrode arrangement provided on or within the insulative surface of the substrate. The electrode arrangement may include a first electrode and a second electrode being isolated from each other by the insulative surface, each of the first and the second electrode including a sensing portion. The spacing between the sensing portion of the first electrode and the sensing portion of the second electrode is adapted to allow charge flow between the first electrode and the second electrode caused by cavitation occurring at the sensing portion.

Abstract: The object of the invention is to provide a power supply system and method for the various elements forming DC/AC electronic power converters that assures the operation of the converters during normal operating conditions and anomalous operating conditions, being specially designed for photovoltaic systems connected to the power grid and capable of providing direct current and alternating current voltages at the output thereof from at least one DC power source (1) and at least one AC power source (2), which basically comprises an output for DC loads (6) connected to the output of a DC/DC converter (3) the input of which is connected to the DC power source (1), an AC output for critical loads (7) connected to a first selector (5) configured for alternating between a first position where said AC output for critical loads (7) is connected to the output of a first DC/AC converter (4) the input of which is connected to the DC power source (1), and a second position where said AC output for critical loads (7) is co

Abstract: Technologies are generally described for methods and systems in a machine learning environment. In some examples, a method may include retrieving training data from a memory. The training data may include training inputs and training labels. The methods may further include determining a set of datasets based on the training inputs. The methods may further include determining a set of out of sample errors based on the training inputs and based on test data. Each out of sample error may correspond to a respective dataset in the set of datasets. The methods may further include generating alternative distribution data based on the set of out of sample errors. The alternative distribution data may be used to determine weights to be applied to the training data.

Abstract: Technologies are generally described for methods and systems effective to determine a weight benefit associated with application of weights to training data in a machine learning environment. In an example, a device may determine a first function based on the training data, where the training data includes training inputs and training labels. The device may determine a second function based on weighted training data, which is based on application of weights to the training data. The device may determine a third function based on target data, where the target data is generated based on a target function. The target data may include target labels different from the training labels. The device may determine a fourth function based on weighted target data, which is a result of application of weights to the target data. The device may determine the weight benefit based on the first, second, third, and fourth functions.

Abstract: Technologies are generally described for systems, devices and methods relating to determining weights in a machine learning environment. In some examples, a training distribution of training data may be identified, information about a test distribution of test data, and a coordinate of the training data and the test data may be identified. Differences between the test distribution and the training distribution may be determined, for the coordinate. A weight importance parameter may be identified, for the coordinate. A processor may calculate weights based on the differences, and based on the weight importance parameter. The weights may be adapted to cause the training distribution to conform to the test distribution at a degree of conformance. The degree of conformance may be based on the weight importance parameter.