Abstract: A volume adjustment method and apparatus, electronic device, and storage medium are provided. The volume adjustment method includes: obtaining target media data and media metadata corresponding to the target media data; obtaining a volume adjustment probability of playing the target media data according to a preset volume corresponding to the target media data, wherein the volume adjustment probability is obtained based on a regression processing result of the media metadata; and adjusting the preset volume based on the volume adjustment probability, to determine a volume to play the target media data.

Abstract: A UV based surface disinfection system that consists of the UV light source, a robot arm, and an omni directional mobile base. The mobile robot can be programmed autonomously and be able to bring the UV light source to the centimeters away from surfaces to achieve effective and efficient surface disinfection. The mobile robot can navigate autonomously in a complicated environment to perform disinfection operation in a large area.

Abstract: The present disclosure provides a method for adjusting volume, an electronic device, and a non-transitory computer-readable storage medium. The method for adjusting volume includes: determining a volume adjustment probability of target media data during its playback at a preset volume based on a historical playback record of the target media data, wherein the historical playback record includes a volume adjustment record of the target media data during its playbacks in the past; in response to that the volume adjustment probability is greater than a first threshold, determining a first probability for increasing the preset volume and a second probability for reducing the preset volume based on the volume adjustment record; based on a comparison result between the first probability and the second probability, determining a target adjustment policy; and adjusting the preset volume according to the target adjustment policy to determine a to-be-played volume of the target media data.

Abstract: The present disclosure relates to the computer processing technology, discloses a playback loudness processing method and apparatus of media data, an electronic device, and a storage medium. The playback loudness processing method of media data includes: obtaining media data; determining, in response to the media data including speech data, speech loudness metadata of the speech data based on a speech loudness distribution result corresponding to the speech data; and adjusting playback loudness of the media data based on the speech loudness metadata to obtain target media data for playback.

Abstract: The present disclosure discloses a method of adjusting volume, an electronic device, and a non-transitory computer-readable storage medium. The method of adjustment volume includes: acquiring media data to be played; determining a volume adjustment type corresponding to the media data to be played; determining a volume adjustment value based on current playback attribute information of a playback terminal that plays media data and the volume adjustment type, in which the volume adjustment value is configured to adjust an initial volume of the media data to be played; adjusting the initial volume according to the volume adjustment value; and playing the media data to be played based on an adjusted initial volume.

Abstract: An unknown web page is received for categorization, for example, from a web filtering service in a web browser or a firewall. Semantic embeddings are generated by enriching the unknown web page with semantic meaning in order to determine an unknown web page vector. Proximity of the unknown web page semantic embeddings to the known web categories is calculated by comparing the average vector against the unknown web page vector. A category label for a web site category for the new web page is output based on the calculated proximity. Once known, web filtering and other network policies can be applied to the web page.

Abstract: The present disclosure relates to the field of computer technologies, and discloses an audio processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining media data to be processed and audio metadata of the media data to be processed; performing first loudness compensation on the media data to be processed based on the audio metadata to obtain first media data, where the first loudness compensation includes loudness compensation for dynamic range control; determining a second loudness compensation value corresponding to peak limiting based on an audio feature of the first media data; and performing second loudness compensation and peak limiting on the first media data based on the second loudness compensation value to determine target media data for playback.

Abstract: The disclosure relates to the technical field of computer processing, and discloses a method, an apparatus, a device and a storage medium for processing playing loudness of media data. The method according to the disclosure comprises obtaining media data to be played and an audio feature of the media data to be played; obtaining loudness requirement information, wherein the loudness requirement information comprises a current playing environment and/or an attribute of a playing device; determining loudness processing information for the media data to be played based on the audio feature and the loudness requirement information; and processing the media data to be played based on the loudness processing information to obtain target media data for playing.

Abstract: Embodiments of the present disclosure provide a harmony processing method and apparatus, a device, and a medium, and the method includes: acquiring a harmonic interval corresponding to a target harmony control in response to a triggering operation on the target harmony control; performing, according to the harmonic interval, sound modification processing on a first sound input originally to obtain a second sound, in which an interval between the first sound and the second sound is the harmonic interval; and generating a target audio according to the first sound and the second sound, wherein the first sound and the second sound are presented as different harmonic parts in the target audio.

Abstract: Embodiments of the present disclosure provide a harmony processing method and apparatus, a device, and a medium, and the method includes: acquiring a harmonic interval corresponding to a target harmony control in response to a triggering operation on the target harmony control; performing, according to the harmonic interval, sound modification processing on a first sound input originally to obtain a second sound, in which an interval between the first sound and the second sound is the harmonic interval; and generating a target audio according to the first sound and the second sound, wherein the first sound and the second sound are presented as different harmonic parts in the target audio.

Abstract: The present invention is directed toward a system and method for STED nanography, which reduces background noise. To remove background noise from a STED image, the polarization of the STED beam is altered from that used to obtain the original image. A polarized image is obtained. This polarized image can then be subtracted from the original image to remove noise inherent to the image.

Abstract: A UV based surface disinfection system that consists of the UV light source, a robot arm, and an omni directional mobile base. The mobile robot can be programmed autonomously and be able to bring the UV light source to the centimeters away from surfaces to achieve effective and efficient surface disinfection. The mobile robot can navigate autonomously in a complicated environment to perform disinfection operation in a large area.

Abstract: The present invention is directed toward a system and method for STED nanography, which reduces background noise. To remove background noise from a STED image, the polarization of the STED beam is altered from that used to obtain the original image. A polarized image is obtained. This polarized image can then be subtracted from the original image to remove noise inherent to the image.

Abstract: Embodiments provide for controlling power production in an islanded microgrid system while maintaining the system frequency and implementing desired load sharing between different types of generating resources and energy storage systems. Embodiments include a controller in communication with the resources to control operation of the resources and operative to determine an optimal load balance based on load and renewable generation forecast information; transmit load and generation schedules to a generation controller that operates the resources in accordance with the schedules; calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, droop settings, rated power, and the frequency of the energy storage resources; and to control the frequency set point of the energy storage resources to achieve the optimal load balance. Numerous additional aspects are disclosed.

Abstract: Systems and methods for classifying URLs by a hybrid classifier are provided. According to one embodiment, a hybrid classifier receives a candidate URL. A naïve Bayes classifier of the hybrid classifier classifies the candidate URL to generate a first classification of the candidate URL and a sublink classifier of the hybrid classifier classifies the candidate URL to generate a second classification of the candidate URL. The hybrid classifier determines a classification of the candidate URL based on the combination of the first and second classification.

Abstract: Embodiments provide for controlling power production in an islanded microgrid system while maintaining the system frequency and implementing desired load sharing between different types of generating resources and energy storage systems. Embodiments include a controller in communication with the resources to control operation of the resources and operative to determine an optimal load balance based on load and renewable generation forecast information; transmit load and generation schedules to a generation controller that operates the resources in accordance with the schedules; calculate a frequency set point for energy storage resources in the microgrid based on the optimal load balance of the energy storage resources, droop settings, rated power, and the frequency of the energy storage resources; and to control the frequency set point of the energy storage resources to achieve the optimal load balance. Numerous additional aspects are disclosed.

Abstract: Systems and methods for classification of web sites and/or their corresponding URLs based on a known web site classification are provided. According to one embodiment, a website URL is received that is known to be associated with a particular content classification. A list of candidate domain names including a host name of the website URL is generated based on a defined TLD list. For each of the candidate domain names it is determined whether an IP address of the candidate domain name is equal to an IP address of the website URL. When the result is affirmative, the particular content classification is associated with the candidate domain name; otherwise, a cosine similarity measurement process is performed between information associated with the candidate domain name and information associated with the website URL to determine whether to associate the particular content classification with the candidate domain name.

Abstract: Systems and methods for classifying URLs by a hybrid classifier are provided. According to one embodiment, a hybrid classifier receives a candidate URL. A naïve Bayes classifier of the hybrid classifier classifies the candidate URL to generate a first classification of the candidate URL and a sublink classifier of the hybrid classifier classifies the candidate URL to generate a second classification of the candidate URL. The hybrid classifier determines a classification of the candidate URL based on the combination of the first and second classification.

Abstract: Systems and methods for improving accuracy of web content classification by removing perceived noise are provided. The system receives a Uniform Resource Locator (URL) of a web page that needs to be classified, and parses the web page so as to construct a tree containing a list of tags. Unwanted tags are removed from the list of tags to yield a tree containing only desired tags that form part of the web page. Subsequently, a list of hyperlinks are based on processing of the tree having desired tags, wherein the list of hyperlinks can include unwanted/undesired/invalid hyperlinks and valid hyperlinks. Unwanted hyperlinks can accordingly be removed from the list of hyperlinks, and each valid hyperlink can be categorized based on a list of categories, and a final category for the web page is determined based on a vector analysis of each category assigned to each valid hyperlink.

Abstract: Systems and methods for classification of web sites and/or their corresponding URLs based on a known web site classification are provided. According to one embodiment, a website URL is received that is known to be associated with a particular content classification. A list of candidate domain names including a host name of the website URL is generated based on a defined TLD list. For each of the candidate domain names it is determined whether an IP address of the candidate domain name is equal to an IP address of the website URL. When the result is affirmative, the particular content classification is associated with the candidate domain name; otherwise, a cosine similarity measurement process is performed between information associated with the candidate domain name and information associated with the website URL to determine whether to associate the particular content classification with the candidate domain name.