Abstract: The present disclosure relates to methods and apparatuses. According to some embodiments of the disclosure, a method comprises: transmitting coherent information of a communication device; and receiving configuration information for the communication device, wherein the configuration information indicates a plurality of phase tracking reference signal (PTRS) ports assigned to the communication device and is based at least on the coherent information.

Abstract: Methods and apparatuses for recovering from beam failure are disclosed. A method of recovering from beam failure, comprising: sending a beam failure recovery request message including information regarding beam failure recovery and information regarding a new candidate beam via a working beam of a first cell; monitoring a response via the new candidate beam of a second cell; and receiving the response via the new candidate beam from the second cell.

Abstract: The invention belongs to the field of an electrolyte solution for a battery, and discloses a lithium-sulfur battery electrolyte and a preparation method and application thereof. The electrolyte solution comprises the following components: an organic solvent, an electrolyte and an additive; the organic solvent is 1,1,2, 2-tetrafluoroethyl 2,2,3,3-tetrafluoropropyl ether and 1,3-dioxolane; the electrolyte is bis(hexafluoroethane) sulfonamide lithium salt and LiCF3SO3; the additive is a lithium-sulfur compound, wherein the lithium-sulfur compound is Li6S2. The invention recovers an electrolyte solution from a lithium-sulfur battery, and then extracts the Li element in the electrolyte solution, which is recycled for preparation of a electrolyte solution of the lithium-sulfur battery; in addition, it can also enrich the organic components in the electrolyte solution of the waste lithium-sulfur battery, facilitating a centralized processing and reduction of leakage pollution.

Abstract: The present disclosure provides a consistency evaluation method for a traditional extraction process and a modern extraction process of a traditional Chinese medicine (TCM) compound preparation. In the present disclosure, the reference correlation degree is calculated based on the relative deviation. The reference correlation degree is within a threshold interval of [??, 1]. If the relative deviation is 0, the reference correlation degree is 100%, and at the moment, the quality of a modern extraction sample is completely consistent with that of a reference sample. Thus, compared with the relative deviation, the reference correlation degree can represent a quality difference between the modern extraction sample and the reference sample more intuitively and clearly.

Abstract: Embodiments of the present disclosure disclose an image-based pose determination method and apparatus, a computer readable storage medium, and an electronic device. The method include: acquiring a current image frame captured by a camera disposed on a moving object and a historical image frame captured before the current image frame; determining a first relative camera pose between the current image frame and the historical image frame; determining a virtual binocular image based on the first relative camera pose; and determining current pose information of the camera based on preset visual odometry and the virtual binocular image. According to the embodiments of the present disclosure, the virtual binocular image may be generated based on a monocular image, thus achieving effects of binocular visual odometry without using a binocular camera, thereby reducing costs.

Abstract: Disclosed are an image depth estimation method and device, a computer-readable storage medium and electronic equipment. The method includes: obtaining a first image frame and second image frame collected in a movement process of an electronic apparatus; determining a first feature map corresponding to the first image frame and a second feature map corresponding to the second image frame; determining a scaled inter-frame geometrical relationship between the first and second image frames; determining a reconstruction error between the first and second feature maps based on the inter-frame geometrical relationship; and determining a depth map corresponding to the first image frame based on the reconstruction error.

Abstract: A method and a system for securely accessing a portable hotspot for intelligent mobile phones, comprises an intelligent mobile phone used as an AP and another intelligent mobile phone used as an STA. The AP comprises an AP NFC module and a first data transmission module; and the STA comprises an STA NFC module and a second data transmission module. The AP uses the NFC module to perform a WPA security authentication with the STA, and uses the first data transmission module to perform data encrypted transmission with the second data transmission module. In the method and the system of the present disclosure, the common WLAN authentication mechanism is not adopted, and the security authentication process between the AP and the STA is completed in the NFC manner instead.

Abstract: A method and a system for securely accessing a portable hotspot for intelligent mobile phones, comprises an intelligent mobile phone used as an AP and another intelligent mobile phone used as an STA. The AP comprises an AP NFC module and a first data transmission module; and the STA comprises an STA NFC module and a second data transmission module. The AP uses the NFC module to perform a WPA security authentication with the STA, and uses the first data transmission module to perform data encrypted transmission with the second data transmission module. In the method and the system of the present disclosure, the common WLAN authentication mechanism is not adopted, and the security authentication process between the AP and the STA is completed in the NFC manner instead.

Abstract: The present invention relates to a method for filtering time-varying MR signal data prior to image reconstruction. A one-dimensional FT is applied to the time-varying MR signal data along each frequency-encode line of k space. The phase p of each complex pair (R,I) of the FT transformed data is calculated to create a phase profile for each frequency-encode line. This process is repeated for all time points of the time-varying MR signal data. The time course of each point within the phase profile is then transformed into Stockwell domain producing ST spectra. Frequency component magnitudes indicative of an artifact are determined and replaced with a predetermined frequency component magnitude. Each of the ST spectra is then collapsed into a one-dimensional function. New real and imaginary values (R?,I?) of the complex Fourier data are calculated based on the collapsed ST spectra which are transformed using one-dimensional inverse Fourier transformation for producing filtered time-varying MR signal data.

Abstract: The present invention relates to a method for filtering time-varying MR signal data prior to image reconstruction. A one-dimensional FT is applied to the time-varying MR signal data along each frequency-encode line of k space. The phase p of each complex pair (R,I) of the FT transformed data is calculated to create a phase profile for each frequency-encode line. This process is repeated for all time points of the time-varying MR signal data. The time course of each point within the phase profile is then transformed into Stockwell domain producing ST spectra. Frequency component magnitudes indicative of an artifact are determined and replaced with a predetermined frequency component magnitude. Each of the ST spectra is then collapsed into a one-dimensional function. New real and imaginary values (R?,I?) of the complex Fourier data are calculated based on the collapsed ST spectra which are transformed using one-dimensional inverse Fourier transformation for producing filtered time-varying MR signal data.

Abstract: The present invention relates to a method for visualizing ST data based on principal component analysis. ST data indicative of a plurality of local S spectra, each local S spectrum corresponding to an image point of an image of an object are received. In a first step principal component axes of each local S spectrum are determined. This step is followed by the determination of a collapsed local S spectrum by projecting a magnitude of the local S spectrum onto at least one of its principal component axes, thus reducing the dimensionality of the S spectrum. After determining a weight function capable of distinguishing frequency components within a frequency band a texture map for display is generated by calculating a scalar value from each principal component of the collapsed S spectrum using the weight function and assigning the scalar value to a corresponding position with respect to the image.

Abstract: The present invention relates to a method and system for segmenting texture of multi-dimensional data indicative of a characteristic of an object. Received multi-dimensional data are transformed into second multi-dimensional data within a Stockwell domain based upon a polar S-transform of the multi-dimensional data. Principal component analysis is then applied to the second multi-dimensional data for generating texture data characterizing texture around each data point of the multi-dimensional data. Using a classification process the data points of the multi-dimensional data are partitioned into clusters based on the texture data. Finally, a texture map is produced based on the partitioned data points. The present invention provides image texture segmentation based on the polar S-transform having substantially reduced redundancy while keeping maximal data variation.

Abstract: The present invention relates to a method and system for distributed computing an S transform dataset of multidimensional image data of an object. The multidimensional image data are fast Fourier transformed into Fourier domain producing a Fourier spectrum. The respective Fourier frequencies are then partitioned into a plurality of portions of frequencies for simultaneously processing. Processing of each of the plurality of portions of the Fourier frequencies is assigned to a respective processor of a plurality of processors. The Fourier spectrum of multidimensional image data and each of the plurality of portions of the Fourier frequencies is transmitted to the respective processor. The portions of the Fourier frequencies are then simultaneously processed in order to produce the S transform dataset. The S transform data are then collected and stored.

Abstract: The present invention relates to a method for filtering time-varying MR signal data prior to image reconstruction. A one-dimensional FT is applied to the time-varying MR signal data along each frequency-encode line of k space. The phase p of each complex pair (R, I) of the FT transformed data is calculated to create a phase profile for each frequency-encode line. This process is repeated for all time points of the time-varying MR signal data. The time course of each point within the phase profile is then transformed into Stockwell domain producing ST spectra. Frequency component magnitudes indicative of an artifact are determined and replaced with a predetermined frequency component magnitude. Each of the ST spectra is then collapsed into a one-dimensional function. New real and imaginary values (R?, I?) of the complex Fourier data are calculated based on the collapsed ST spectra which are transformed using one-dimensional inverse Fourier transformation for producing filtered time-varying MR signal data.

Abstract: The present invention relates to a method and system for enhancing resolution of a magnetic resonance image of an object. The method combines information from a plurality of low-resolution images with a Field Of View shifted by a distance less than a pixel width to create a synthesized image having substantially improved image quality. Information from the low-resolution images is merged and application of an aperture function enhances the SNR of the synthesized image resulting in synthesized images having a substantially higher spatial resolution as well as a substantially increased SNR. The method and system for enhancing resolution of a magnetic resonance image is highly beneficial for a MRI practitioner by substantially improving image quality, thus facilitating diagnostic methods such as texture analysis and disease specific tissue segmentation.

Abstract: The present invention relates to a method and system for segmenting texture of multi-dimensional data indicative of a characteristic of an object. Received multi-dimensional data are transformed into second multi-dimensional data within a Stockwell domain based upon a polar S-transform of the multi-dimensional data. Principal component analysis is then applied to the second multi-dimensional data for generating texture data characterizing texture around each data point of the multi-dimensional data. Using a classification process the data points of the multi-dimensional data are partitioned into clusters based on the texture data. Finally, a texture map is produced based on the partitioned data points. The present invention provides image texture segmentation based on the polar S-transform having substantially reduced redundancy while keeping maximal data variation.

Abstract: The present invention relates to a method for processing magnetic resonance signal data. magnetic resonance signal data in dependence upon a magnetic resonance signal time series are received. The magnetic resonance signal data are then transformed into a time-frequency Stockwell domain using a localizing time window having a frequency dependent window width in order to provide multi-resolution in the time-frequency domain. The Stockwell transformed magnetic resonance signal data are then processed in the Stockwell domain, for example, filtered based on time-frequency information of the Stockwell transformed magnetic resonance signal data. The processed Stockwell transformed magnetic resonance signal data are then transformed into Fourier domain by summing the Stockwell transformed magnetic resonance signal data over time indices of the Stockwell domain. In a further step the Fourier transformed magnetic resonance signal data are then transformed into time domain using inverse Fourier transformation.

Abstract: The present invention relates to a method and system for enhancing resolution of a magnetic resonance image of an object. The method combines information from a plurality of low-resolution images with a Field Of View shifted by a distance less than a pixel width to create a synthesized image having substantially improved image quality. Information from the low-resolution images is merged and application of an aperture function enhances the SNR of the synthesized image resulting in synthesized images having a substantially higher spatial resolution as well as a substantially increased SNR. The method and system for enhancing resolution of a magnetic resonance image is highly beneficial for a MRI practitioner by substantially improving image quality, thus facilitating diagnostic methods such as texture analysis and disease specific tissue segmentation.

Abstract: The present invention relates to a method for processing magnetic resonance signal data. magnetic resonance signal data in dependence upon a magnetic resonance signal time series are received. The magnetic resonance signal data are then transformed into a time-frequency Stockwell domain using a localizing time window having a frequency dependent window width in order to provide multi-resolution in the time-frequency domain. The Stockwell transformed magnetic resonance signal data are then processed in the Stockwell domain, for example, filtered based on time-frequency information of the Stockwell transformed magnetic resonance signal data. The processed Stockwell transformed magnetic resonance signal data are then transformed into Fourier domain by summing the Stockwell transformed magnetic resonance signal data over time indices of the Stockwell domain. In a further step the Fourier transformed magnetic resonance signal data are then transformed into time domain using inverse Fourier transformation.

Abstract: The present invention relates to a method for visualizing ST data based on principal component analysis. ST data indicative of a plurality of local S spectra, each local S spectrum corresponding to an image point of an image of an object are received. In a first step principal component axes of each local S spectrum are determined. This step is followed by the determination of a collapsed local S spectrum by projecting a magnitude of the local S spectrum onto at least one of its principal component axes, thus reducing the dimensionality of the S spectrum. After determining a weight function capable of distinguishing frequency components within a frequency band a texture map for display is generated by calculating a scalar value from each principal component of the collapsed S spectrum using the weight function and assigning the scalar value to a corresponding position with respect to the image.