Abstract: The wavelength conversion material includes a general formula (I) MmAaBbCcDdEe:ESxREy and satisfies a condition (II) that a proportion of D for the wavelength conversion material greater than or equal to 50%. M is selected from a group consisting of Ca, Sr and Ba. A is selected from a group consisting of elements Mg, Mn, Zn and Cd. B is selected from a group consisting of elements B, Al, Ga and In. C is selected from a group consisting of Si, Ge, Ti and Hf. D is selected from a group consisting of elements 0, S and Se. E is selected from a group consisting of elements N and P. ES is selected from a group consisting of divalent Eu, Sm and Yb. RE is selected from a group consisting of trivalent Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er and Tm.

Abstract: The disclosure relates to a quantum dot structure. The quantum dot structure includes a quantum dot and a cloud-like shell covering a portion of the quantum dot and having an irregular outer surface. The quantum dot includes: a core; a first shell discontinuously around a core surface of the core; and a second shell between the core and the first shell and encapsulating the core surface of the core, wherein the second shell has an irregular outer surface.

Abstract: Carbon fiber and method of forming the same are provided. The method modifies proportion of a finishing oil to control a relation between a surface tension and a particle size of the finishing oil, and thus penetration of the finishing oil into an interior of the carbon fiber is avoided. Therefore, the carbon fiber can have both low oil residues and a high strength.

Abstract: A light-emitting diode device is provided. First and second green conversion materials are respectively configured to convert a blue light emitted from a blue light-emitting diode to generate a first green light with a first wavelength range and a first wavelength FWHM, and a second green light with a second wavelength range and a second wavelength FWHM. The second wavelength FWHM is smaller than the first wavelength FWHM. A lower bound of the first wavelength range is smaller than a lower bound of the second wavelength range, and an upper bound of the second wavelength range is greater than an upper bound of the first wavelength range. An output light emitted from the light-emitting diode device has a spectral characteristic of less than 50% of TÜV Rheinland and more than 90% of wide color gamut.

Abstract: A manufacturing method for a carbon fiber includes the following steps. A first monomer and a second monomer are dissolved in a first solvent, and a polymerization reaction is performed to form a copolymerized polymer, in which the first monomer includes acrylonitrile, the second monomer has an unsaturated bond, the first solvent includes dimethyl sulfoxide, and based on 100 wt % of the first solvent, a content of the dimethyl sulfoxide is between 99.9 wt % and 100 wt %. A spinning step is performed on the copolymerized polymer.

Abstract: A manufacturing method for a carbon fiber includes: performing an emulsification step that includes uniformly mixing a silicone oil composition and an emulsifier to form an oiling agent, in which the silicone oil composition includes ?-divinyltriamine propylmethyldimethoxyl silane and N-(?-aminoethyl)-?-aminopropylmethylbimethoxy silane; performing an oiling step that includes soaking a carbon raw filament in the oiling agent, such that the oiling agent is adhered to a surface of the carbon raw filament to form a carbon fiber precursor; and performing a calcination step on the carbon fiber precursor, such that the carbon fiber is formed.

Abstract: Carbon fiber and method of forming the same are provided. The method modifies proportion of a finishing oil to control a relation between a surface tension and a particle size of the finishing oil, and thus penetration of the finishing oil into an interior of the carbon fiber is avoided. Therefore, the carbon fiber can have both low oil residues and a high strength.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: A wavelength conversion material comprises a luminous core and a covering layer. The luminous core comprises a quantum dot or a fluorescent powder. The covering layer covers the luminous core. The covering layer is an amorphous material, and an outer surface of the covering layer has at least one sharp corner.

Abstract: A low blue light backlight module configured to emit a white light is provided. The low blue light backlight module includes a first light-emitting element, a second light-emitting element, a third light-emitting element and a fourth light-emitting element. The first light-emitting element is configured to emit a first light having a peak emission wavelength of about 610-660 nm. The second light-emitting element is configured to emit a second light having a peak emission wavelength of about 520-550 nm. The third light-emitting element is configured to emit a third light having a peak emission wavelength of about 480-580 nm. The fourth light-emitting element is configured to emit a fourth light having a peak emission wavelength of about 445-470 nm. The white light has an emission spectrum, and an area ratio of the spectrum under wavelength of 415-455 nm to the spectrum under wavelength of 400-500 nm is below 50%.

Abstract: A light-emitting diode device is provided. First and second green conversion materials are respectively configured to convert a blue light emitted from a blue light-emitting diode to generate a first green light with a first wavelength range and a first wavelength FWHM, and a second green light with a second wavelength range and a second wavelength FWHM. The second wavelength FWHM is smaller than the first wavelength FWHM. A lower bound of the first wavelength range is smaller than a lower bound of the second wavelength range, and an upper bound of the second wavelength range is greater than an upper bound of the first wavelength range. An output light emitted from the light-emitting diode device has a spectral characteristic of less than 50% of TÜV Rheinland and more than 90% of wide color gamut.

Abstract: An object detection device and an object detection method based on a neural network are provided. The object detection method includes: receiving an input image and identifying an object in the input image according to an improved YOLO-V2 neural network. The improved YOLO-V2 neural network includes a residual block, a third convolution layer, and a fourth convolution layer. A first input of the residual block is connected to a first convolution layer of the improved YOLO-V2 neural network, and an output of the residual block is connected to a second convolution layer of the improved YOLO-V2 neural network. Here, the residual block is configured to transmit, to the second convolution layer, a summation result corresponding to the first convolution layer. The third convolution layer and the fourth convolution layer are generated by decomposing a convolution layer of an original YOLO-V2 neural network.

Abstract: The wavelength conversion material includes a general formula (I) MmAaBbCcDdEe:ESxREy and satisfies a condition (II) that a proportion of D for the wavelength conversion material greater than or equal to 50%. M is selected from a group consisting of Ca, Sr and Ba. A is selected from a group consisting of elements Mg, Mn, Zn and Cd. B is selected from a group consisting of elements B, Al, Ga and In. C is selected from a group consisting of Si, Ge, Ti and Hf. D is selected from a group consisting of elements O, S and Se. E is selected from a group consisting of elements N and P. ES is selected from a group consisting of divalent Eu, Sm and Yb. RE is selected from a group consisting of trivalent Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er and Tm.

Abstract: Provided is a backlight module including a light guide plate, a light source and a light conversion layer. The light source is disposed at one side of the light guide plate. The light conversion layer is disposed over the light guide plate. The light conversion layer includes an optical composite material including 0.1 wt % to 15 wt % of a luminescent material and 85 wt % to 99.9 wt % of an acrylate-based polymer. The acrylate-based polymer is prepared from precursors including 5 wt % to 30 wt % of a surfactant having a thiol group.

Abstract: The composite material of the invention includes a plurality of quantum dots and a matrix. The matrix is formed by a plurality of siloxane compounds crosslinked with a component which comprises a plurality of oxime-based silicone primer compounds. The quantum dots are chemically bonded to the matrix through a plurality of amino groups. The quantum dots are uniformly dispersed in the matrix of the composite material.

Abstract: Disclosed herein is a mobile plastic recycling system mounted in a vehicle. The system is configured to process a plastic article and make it into thermoplastic items. The mobile plastic recycling system includes a plastic recycling apparatus and a power supply apparatus that are electrically coupled with each other; the system also includes a vehicle configured to carry and transport the power supply apparatus and plastic recycling apparatus.

Abstract: Provided is a method of forming gigantic quantum dots including following steps. A first precursor by mixing zinc acetate (Zn(ac)2), cadmium oxide (CdO), a surfactant, and a solvent together and then performing a first heat treatment is provided. The first precursor includes Zn-complex having the surfactant and Cd-complex having the surfactant. A second precursor containing elements S and Se and trioctylphosphine (TOP) is added into the first precursor to form a reaction mixture. A second heat treatment is performed on the reaction mixture and then cooling the reaction mixture to form the gigantic quantum dots in the reaction mixture.

Abstract: Provided is a method of forming gigantic quantum dots including following steps. A first precursor by mixing zinc acetate (Zn(ac)2), cadmium oxide (CdO), a surfactant, and a solvent together and then performing a first heat treatment is provided. The first precursor includes Zn-complex having the surfactant and Cd-complex having the surfactant. A second precursor containing elements S and Se and trioctylphosphine (TOP) is added into the first precursor to form a reaction mixture. A second heat treatment is performed on the reaction mixture and then cooling the reaction mixture to form the gigantic quantum dots in the reaction mixture.

Abstract: Disclosed herein is a mobile plastic recycling system mounted in a vehicle. The system is configured to process a plastic article and make it into thermoplastic items. The mobile plastic recycling system includes a plastic recycling apparatus and a power supply apparatus that are electrically coupled with each other; the system also includes a vehicle configured to carry and transport the power supply apparatus and plastic recycling apparatus.

Abstract: Provided are Gigantic quantum dots and a method of forming gigantic quantum dots. Each of the gigantic quantum dots includes a core constituted of CdSe, a shell constituted of ZnS, and an alloy configured between the core and the shell. The core is wrapped by the shell. The alloy constituted of Cd, Se, Zn and S, wherein a content of the Cd and Se gradually decreases from the core to the shell and a content of the Zn and S gradually increases from the core to the shell. A particle size of each of the gigantic quantum dots is equal to or more than 10 nm.