Abstract: A filter having antibacterial activity is provided. The filter comprises at least one layer of polymer nanofibers and antibacterial particles positioned on or within the at least one layer of polymer nanofibers, wherein the antibacterial particles comprise a quaternary ammonium compound grafted onto a surface of a metal-organic framework. Methods of manufacturing the filter and decontaminating a fluid are also provided.

Abstract: The present application relates to the technical field of grinding, and in particular to a grinding device, which solves the problems of poor stability and high energy consumption of a grinding device in the prior art. The grinding device provided in the present application comprises a housing, a grinding mechanism and a motor in the housing; the grinding mechanism comprises a male grinding head and a female grinding head, the male grinding head is rotatably fitted in the female grinding head, the motor is provided with a driving shaft, the male grinding head is connected to the motor by means of the driving shaft, the housing is provided with an adjustment mechanism for adjusting the position of the female grinding head. The grinding device has a simple structure, a reasonable layout, simple and convenient operation, and low energy consumption.

Abstract: Provided herein are electret-MOF filter embedded with particles derived from metal-organic frameworks (MOF) and their methods of manufacturing. The methods of manufacturing the electret-MOF filter can include suspending MOF particles in a solvent to form a MOF particle mixture, contacting a charged polymeric fibrous web with the MOF particle mixture, and coating the charged polymeric fibrous web with the MOF particles by flowing the MOF particle mixture through an inverse side of the polymeric fibrous web. The disclosed coating method can deposit MOF particles uniformly, without formation of films at interstitial spaces between fibers. The electret-MOF filter can simultaneously remove fine particulate matters (PMs) and hazardous gaseous pollutants (including volatile organic compounds (VOCs)) with high particle holding and gas adsorption capacities, and with very low air resistance.

Abstract: Disclosed herein are embodiments of filtration systems and iron oxide nanowire-based filter meshes that can capture and inactivate pathogens in air. The filter meshes can include a porous lattice of iron metal and iron oxide nanowires radiating from the porous lattice of iron metal. The iron oxide nanowires radiating from the porous lattice of iron metal can be created by processing the filter mesh using the disclosed method. Pathogens can be inactivated by passing a sample containing the pathogens through the filter mesh and inactivating at least a portion of the pathogens as the sample passes through the filter mesh.

Abstract: Composite nanostructures having a crumpled graphene oxide shell and a nanoparticle selected from titanium dioxide, silver and magnetite within the shell are disclosed. The nanostructures may be incorporated into a filtration membrane suitable for purifying water for targeted separations and for human consumption.

Abstract: A facial image-processing method includes: transforming a facial image with 2D Fourier transformation (FT) in a template to obtain 2D FT data of color channels of the facial image and a 2D FT data of the template, with computing first light intensities of color channels and a second light intensity of the template with the 2D FT data; computing an intensity mean value and an intensity maximum in each of the color channels; processing the first light intensities and the second light intensity with singular value decomposition (SVD) to obtain intensity spectrum SVD matrixes and a template SVD matrix; computing a compensation weight coefficient for each color channel with the intensity mean value, the intensity maximum and SV maximums of the intensity spectrum SVD matrixes and the template SVD matrix; and compensating the facial image with the compensation weight coefficients to obtain a compensated facial image.

Abstract: Composite nanostructures having a crumpled graphene oxide shell and a nanoparticle selected from titanium dioxide, silver and magnetite within the shell are disclosed. The nanostructures may be incorporated into a filtration membrane suitable for purifying water for targeted separations and for human consumption.

Abstract: Composite nanostructures having a crumpled graphene oxide shell and a nanoparticle selected from titanium dioxide, silver and magnetite within the shell are disclosed. The nanostructures may be incorporated into a filtration membrane suitable for purifying water for targeted separations and for human consumption.

Abstract: A 3D hand gesture recognition system includes a light field capturing unit, a calculation unit and an output unit. The light field capturing unit is provided to capture a hand gesture action to obtain a 3D hand gesture image. The calculation unit connects with the light field capturing unit and is provided to project the 3D hand gesture image to a predetermined space to obtain eigenvectors which are compared with the samples to classify and recognize a signal of the 3D hand gesture image. The output unit connects with the calculation unit to output the signal of the 3D hand gesture image to a predetermined device.

Abstract: A facial image-processing method includes: transforming a facial image with 2D Fourier transformation (FT) in a template to obtain 2D FT data of color channels of the facial image and a 2D FT data of the template, with computing first light intensities of color channels and a second light intensity of the template with the 2D FT data; computing an intensity mean value and an intensity maximum in each of the color channels; processing the first light intensities and the second light intensity with singular value decomposition (SVD) to obtain intensity spectrum SVD matrixes and a template SVD matrix; computing a compensation weight coefficient for each color channel with the intensity mean value, the intensity maximum and SV maximums of the intensity spectrum SVD matrixes and the template SVD matrix; and compensating the facial image with the compensation weight coefficients to obtain a compensated facial image.

Abstract: A fingerprint processing system includes an input unit, a calculation unit and an output unit. The input unit is applied to input an original fingerprint image. The calculation unit is applied to decompose the original fingerprint image to a decomposed image by singular value decomposition (SVD) and the decomposed image is transformed into a plurality of sub-band images by discrete wavelet transformation (DWT) with a template. A plurality of compensation weight coefficients of DWT are calculated to compensate the sub-band images to generate a plurality of compensated sub-band images which are rebuilt by an inverse DWT. After rebuilding the compensated sub-band images, the output unit is applied to output an enhanced fingerprint image.

Abstract: A fingerprint processing system includes an input unit, a calculation unit and an output unit. The input unit is applied to input an original fingerprint image. The calculation unit is applied to decompose the original fingerprint image to a decomposed image by singular value decomposition (SVD) and the decomposed image is transformed into a plurality of sub-band images by discrete wavelet transformation (DWT) with a template. A plurality of compensation weight coefficients of DWT are calculated to compensate the sub-band images to generate a plurality of compensated sub-band images which are rebuilt by an inverse DWT. After rebuilding the compensated sub-band images, the output unit is applied to output an enhanced fingerprint image.

Abstract: A recognition method includes: retrieving a component image from an image source; utilizing SVD (singular value decomposition) to decompose the component image; and utilizing the decomposed component image for image recognition. In an embodiment, the recognition method further includes: utilizing a light compensation method to calculate at least one light compensation coefficient; utilizing the light compensation coefficient to process the component image to obtain a light-compensated component image; and utilizing the light-compensated component image for image recognition.

Abstract: A method for predicting constellations includes the steps of: providing probability data of correlations between constellations and combined fingerprint types and blood types, and constellation fortune-telling data; detecting and classifying a fingerprint image; inputting a personal blood type; calculating probabilities of correlations between the constellations and the combined fingerprint types and blood types; and correspondingly outputting the constellation fortune-telling data according to the calculated probability. A constellation-predicting system of a preferred embodiment includes a fingerprint-image-detecting device, a blood-type-inputting unit, a calculating unit, a memory unit and a terminal unit which are connected to form the system.

Abstract: A recognition method includes: retrieving a component image from an image source; utilizing SVD (singular value decomposition) to decompose the component image; and utilizing the decomposed component image for image recognition. In an embodiment, the recognition method further includes: utilizing a light compensation method to calculate at least one light compensation coefficient; utilizing the light compensation coefficient to process the component image to obtain a light-compensated component image; utilizing the light-compensated component image for image recognition.

Abstract: A method for predicting constellations comprises the steps of: providing probability data of correlations between constellations and combined fingerprint types and blood types, and constellation fortune-telling data; detecting and classifying a fingerprint image; inputting a personal blood type; calculating probabilities of correlations between the constellations and the combined fingerprint types and blood types, and correspondingly outputting the constellation fortune-telling data according to the calculated probability. A constellation-predicting system of a preferred embodiment includes a fingerprint-image-detecting device, a blood-type-inputting unit, a calculating unit, a memory unit and a terminal unit which are connected to form the system.

Abstract: The invention discloses a MRAM (Magnetoresistive RAM) based on vertical current writing and its control method, the operation of information writing in the MRAM unit is completed by the corporate effect of the magnetic field generated by the current parallel to the MFC unit and the other current vertical to the MFC unit and passing through this unit. The advantage of such structure is: eliminating a word line (WL) of the prior art especially for information writing, reducing the number of the metal wiring layers and the contact holes, and reducing the complexity of MRAM's structure, and difficulty and cost of manufacturing process.

Abstract: The invention discloses a MRAM (Magnetoresistive RAM) based on vertical current writing and its control method, the operation of information writing in the MRAM unit is completed by the corporate effect of the magnetic field generated by the current parallel to the MFC unit and the other current vertical to the MFC unit and passing through this unit. The advantage of such structure is: eliminating a word line (WL) of the prior art especially for information writing, reducing the number of the metal wiring layers and the contact holes, and reducing the complexity of MRAM's structure, and difficulty and cost of manufacturing process.