Abstract: The present disclosure provides a system for perceiving an operating state of a large power transformer based on vibro-acoustic integration, including a perception layer, a network layer, and a diagnostic layer, where the perception layer is used for monitoring, in real time, a state parameter for a coupling vibration signal and an acoustic signal of each of a transformer core, a winding, a clamp and a housing, a state parameter of each of a vibration signal and an acoustic signal during a gear position change of an on-load tap changer (OLTC), and preliminarily diagnosing and analyzing monitored data. The system can monitor the operating state of the OLTC online for a long time, flexibly configure the sensor channel and the sensor type according to different application requirements, automatically acquire and identify the gear position change, and correctly identify and process a gear position corresponding to the monitoring signal.

Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.

Abstract: The present disclosure provides a system for perceiving an operating state of a large power transformer based on vibro-acoustic integration, including a perception layer, a network layer, and a diagnostic layer, where the perception layer is used for monitoring, in real time, a state parameter for a coupling vibration signal and an acoustic signal of each of a transformer core, a winding, a clamp and a housing, a state parameter of each of a vibration signal and an acoustic signal during a gear position change of an on-load tap changer (OLTC), and preliminarily diagnosing and analyzing monitored data. The system can monitor the operating state of the OLTC online for a long time, flexibly configure the sensor channel and the sensor type according to different application requirements, automatically acquire and identify the gear position change, and correctly identify and process a gear position corresponding to the monitoring signal.

Abstract: The present disclosure provides a casing structure of an electronic device including a first casing and a second casing, the second casing is detachably installed on the first casing, the second casing is provided with an approximately square main body part, the main body part is provided with a first end and a second end which are opposite, and the first end can be supported on the first casing to rotate so that the first casing and the second casing are in a relatively open state or buckled state, the casing structure of an electronic device can include at least one limiting part and at least one butt joint part, wherein the at least one limiting part extends downwards from the middle of the main body part and is located between the first end and the second end.

Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.

Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.

Abstract: A communication system that includes neural network system configured to learn from training examples of radio frequency (RF) signals, and circuitry configured to label a first set of fifth generation (5G) RF signals originated from a first type of source and a second set of 5G RF signals originated from a second type of source. At least one RF impairment is added randomly to each labelled example of the first set of 5G RF signals and the second set of 5G RF signals, wherein randomization of artificially added RF impairment to each labeled example corresponds to addition of different RF impairments randomly to different labeled examples. The neural network system is trained with a plurality of labelled examples. Each labelled example includes an artificially added RF impairment. The circuitry uses the trained neural network system to detect an input 5G RF signal having a new RF impairment.

Abstract: A method of collecting radiation information of a turbine blade, the method including: 1) collecting a radiated light from the surface of the turbine blade, analyzing the radiated light using a spectrometer to calculate compositions and corresponding concentrations of combustion gas; 2) calculating an absorption coefficient of the combustion gas at different concentrations; 3) calculating a total absorption rate of the combustion gas at different radiation wavelengths under different concentrations of component gases; 4) obtaining a relationship between the radiation and a wavelength; 5) finding at least 3 bands with a least gas absorption rate; 6) calculating a distance between a wavelength of a strongest radiation point of the turbine blade and the center wavelength, and selecting three central wavelengths closest to the wavelength with the strongest radiation; and 7) acquiring radiation data of the turbine blade in the windows obtained in 6).

Abstract: A soluble dietary fiber having a xylooligosaccharide purity of 70% or greater. The xylooligosaccharide has a total xylobiose and xylotriose content of 45% or great. The soluble dietary fiber has a higher content of an effective component, thus improving the proliferation of a Bifidobacterium and Lactobacillus, and significantly reducing blood glucose.

Abstract: A method of collecting radiation information of a turbine blade, the method including: 1) collecting a radiated light from the surface of the turbine blade, analyzing the radiated light using a spectrometer to calculate compositions and corresponding concentrations of combustion gas; 2) calculating an absorption coefficient of the combustion gas at different concentrations; 3) calculating a total absorption rate of the combustion gas at different radiation wavelengths under different concentrations of component gases; 4) obtaining a relationship between the radiation and a wavelength; 5) finding at least 3 bands with a least gas absorption rate; 6) calculating a distance between a wavelength of a strongest radiation point of the turbine blade and the center wavelength, and selecting three central wavelengths closest to the wavelength with the strongest radiation; and 7) acquiring radiation data of the turbine blade in the windows obtained in 6).

Abstract: A soluble dietary fiber having a xylooligosaccharide purity of 70% or greater. The xylooligosaccharide has a total xylobiose and xylotriose content of 45% or great. The soluble dietary fiber has a higher content of an effective component, thus improving the proliferation of a bifidobacterium and lactobacillus, and significantly reducing blood glucose.