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2090 results about "Physics" patented technology

Physics (from Ancient Greek: φυσική (ἐπιστήμη), romanized: physikḗ (epistḗmē), lit. 'knowledge of nature', from φύσις phýsis 'nature') is the natural science that studies matter, its motion and behavior through space and time, and that studies the related entities of energy and force. Physics is one of the most fundamental scientific disciplines, and its main goal is to understand how the universe behaves.

Rapid treatment method for fracturing flowback fluid

PendingCN110467298ARealize online processingLittle side effectsWaste water treatment from quariesTreatment involving filtrationFlocculationFiltration
The invention discloses a rapid treatment method for a fracturing flowback fluid. The rapid treatment method comprises: (1) pumping a fracturing flowback fluid into an electron beam irradiation chamber, and staying for 20-120 s in the electron beam irradiation chamber; (2) adding a coagulant and a flocculant into the sewage treated by the electron beam irradiation chamber, and clarifying in a flocculation precipitation pool; (3) feeding the water treated by the flocculation precipitation a precision filtration pool, and carrying out fine filtration; and (4) collecting the water filtered by theprecision filtration pool in a clear water pool. According to the present invention, the gel breaking stage uses physical gel breaking so as to achieve clean gel breaking and greatly reduce the sideeffects of external agents, such that the reuse quality of the fracturing flowback fluid is good, and the fracturing flowback fluid is safe; the gel breaking time is shortened from 5-120 min to 20-120s so as to greatly improve the gel breaking speed; and compared with the traditional chemical gel breaking method and the biological gel breaking method, the method of the present invention simplifyfeeding equipment and other supporting equipment, reduces the occupation area, and reduces the complexity of manual operation.
Owner:RUIJIE ENVIRONMENTAL PROTECTION TECH CO LTD

Sample measurement device, sample measurement system and sample measurement method

ActiveUS20100283488A1Reduce measurement errorImmobilised enzymesBioreactor/fermenter combinationsMeasurement deviceVoltage source
A sample measurement device (110), in which a biosensor (30) having an electrode is mounted, voltage is applied to the electrode, and the concentration of a specific component in a sample deposited on the biosensor (30) is measured, comprises a voltage source (19) configured to apply voltage to the electrode, a time measurement component (22), and a controller (18) configured to control the voltage to be applied and measure the concentration of the specific component. The time measurement component (22) measures a detection time, which is the length of time between the mounting of the biosensor (30) and the deposition of a sample on the biosensor (30). The controller (18) changes a set value for measuring the concentration of a specific component according to the detection time. Consequently, measurement accuracy can be improved regardless of the temperature of the biosensor (30).
Owner:PHC HLDG CORP

Semiconductor device and method of manufacturing the same, circuit board and electronic instrument

A depression is formed from a first surface of a semiconductor substrate on which is formed an integrated circuit. An insulating layer is provided on the inner surface of the depression. A first conductive portion is provided on the inside of the insulating layer. A second conductive portion is formed on the inside of the insulating layer and over the first conductive portion, of a different material from the first conductive portion. The first conductive portion is exposed from a second surface of the semiconductor substrate opposite to the first surface.
Owner:ADVANCED INTERCONNECT SYST LTD

Integrated ion sensor

The invention provides an integrated ion sensor which is characterized in that a working electrode assembly and a reference electrode assembly are arranged on the surface of a substrate, wherein, theworking electrode assembly comprises an ion-selective electrode (ISE) arranged on the surface of the substrate, a lead electrically connected with the ISE, and a blocking layer covering part of the ISE and lead; and the reference electrode assembly comprises a reference electrode arranged on the surface of the substrate, a lead electrically connected with the reference electrode, a blocking layercovering part of the lead, and an enclosing body arranged on the surface of the substrate, wherein, the enclosing body is provided with an exchanging interface for liquids to flow into the enclosing body and filled with electrolytes. By arranging the reference electrode and the working electrode on the same substrate at the same time, the integrated ion sensor becomes more user-friendly.
Owner:MIDDLELAND SENSING TECH

Methods for characterization of petroleum reservoirs employing property gradient analysis of reservoir fluids

ActiveUS20130151159A1Accurate representationElectric/magnetic detection for well-loggingConstructionsReservoir fluidPetroleum reservoir
A methodology for reservoir understanding employs analysis of fluid property gradients to investigate and distinguish between non-compartmentalization of the reservoir, compartmentalization of the reservoir, and lack of thermodynamic equilibrium in the reservoir.
Owner:SCHLUMBERGER TECH CORP

Empirical mode decomposition and deep learning hybrid model-based wind speed prediction method and system

InactiveCN106126896ASmall differenceImprove forecast accuracySpecial data processing applicationsInformaticsData setAlgorithm
The invention discloses an empirical mode decomposition and deep learning hybrid model-based wind speed prediction method and system. The method comprises the following steps of S1, decomposing an original wind speed time sequence according to empirical mode decomposition so as to obtain a plurality of intrinsic mode functions; S2, establishing a training data set and a test data set for each intrinsic mode function; S3, inputting a training sample, in the training data set, of each intrinsic mode function into a stack type coding network to perform training so as to obtain a wind speed prediction sub-model; S4, inputting the test data set into corresponding wind speed prediction sub-models to perform prediction so as to obtain prediction output values of the wind speed prediction sub-models; and S5, performing combination superposition processing on the prediction output values of the wind speed prediction sub-models to obtain a final overall prediction output value. According to the method and the system, the prediction precision and robustness of the prediction models are effectively improved and higher short-term wind speed prediction precision can be achieved.
Owner:CHINA UNIV OF GEOSCIENCES (WUHAN)

Antenna and method of making the same

An antenna according to the present invention includes a dielectric layer 102 with an upper surface and a lower surface, a signal line strip 101 provided on the upper surface of the dielectric layer 102, and a grounding conductor portion 104 provided on the lower surface of the dielectric layer 102. The surface of the grounding conductor portion 104 includes a plurality of planar areas, each of which has a size that is shorter than the wavelength of an electromagnetic wave to transmit or receive. A distance from a virtual reference plane to each planar area is adjusted on an area-by-area basis. Thus, an antenna, which can change various antenna parameters such as radiation directivity, gain and efficiency dynamically and adaptively according to incessantly changing propagation environment of radio wave, is provided.
Owner:PANASONIC CORP

Unsupervised anomaly detection, diagnosis, and correction in multivariate time series data

ActiveUS20200064822A1Electric testing/monitoringNeural architecturesAnomaly detectionDeconvolution
Methods and systems for anomaly detection and correction include generating original signature matrices that represent a state of a system of multiple time series. The original signature matrices are encoded using convolutional neural networks. Temporal patterns in the encoded signature matrices are modeled using convolutional long-short term memory neural networks for each respective convolutional neural network. The modeled signature matrices using deconvolutional neural networks. An occurrence of an anomaly is determined using a loss function based on a difference between the decoded signature matrices and the original signature matrices. A corrective action is performed responsive to the determination of the occurrence of the anomaly.
Owner:NEC CORP
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