Abstract: A data processing method includes communicating, by a remote terminal device, with a network device by a relay device. The communicating includes starting a timer in response to a radio resource control (RRC) connection establishment procedure of the remote terminal device being initialized. The communicating includes sending indication information to the relay terminal device in response to the timer expiring. The indication information is useable to indicate the relay terminal device not to forward data corresponding to the remote terminal device, the indication information is useable to release a unicast link between the remote terminal device and the relay terminal device, or the indication information is useable to indicate to clear a buffer corresponding to the remote terminal device.

Abstract: A measurement configuration determining method includes receiving, by a terminal device, a first message from a network device. The first message includes a first relationship, the first relationship indicates an association relationship between an index of a reference signal and measurement configuration information. The measurement configuration information is adapted for the terminal device to perform a measurement and the terminal device determines the measurement configuration information based on the index.

Abstract: A system and method for fluorescence spectral imaging of target material to detect the presence of a contaminant (such as aflatoxin in corn) is provided. An ultraviolet light source is coupled with a light-excluding compartment. The fluorescence from the UV excited target passes through a filter (liquid crystal tunable, acoustic-optic tunable, a filter wheel, or other wavelength splitting device) and a lens, to a spectral imaging camera. Fluorescence spectral image data from the camera are analyzed by a computer and presented in human-readable form. Aflatoxin detection in contaminated corn kernels is based on peak fluorescence and peak fluorescence shift in the spectral range from 451 nm to 500 nm. Aflatoxin contamination level within the target material is quantified based on peak fluorescence and peak fluorescence shift and computed corn kernel pixel statistics.

Abstract: A system and method for fluorescence spectral imaging of target material to detect the presence of a contaminant (such as aflatoxin in corn) is provided. An ultraviolet light source is coupled a light-excluding compartment. The fluorescence from the UV excited target passes through a filter (liquid crystal tunable, acoustic-optic tunable, a filter wheel, or other wavelength splitting device) and a lens, to a spectral imaging camera. Fluorescence spectral image data from the camera is analyzed by a computer and presented in human-readable form. Aflatoxin detection in contaminated corn kernels is based on peak fluorescence and peak fluorescence shift in the spectral range from 451 nm to 500 nm. Aflatoxin contamination level within the target material is quantified based on peak fluorescence and peak fluorescence shift and computed corn kernel pixel statistics.

Abstract: In a method and apparatus for identifying and distinguishing fungal species, a hyperspectral imaging scanner is used to acquire hyperspectral image data for radiation obtained from a sample area in which at least one unknown fungal species is present. A computer compares the acquired hyperspectral image data with spectral signature data stored in a digital library, which includes spectral signature data for each one of a group of known fungal species, and identifies the fungal species, based on the result of such comparison. The spectral signature data stored in the digital library take into account, for each fungal species, spectral variations that can occur due to at least one of environmental and temporal influences. The computer comparison includes a pixel-by-pixel analysis of the degree of difference between acquired hyperspectral image data and the spectral signature data, so that a spatial distribution of identified fungal species can be determined for a sample area.

Abstract: A spectroscopy system for high-accuracy, highly automated spectral imaging of a target is provided. Video and spectrometry information are obtained via an integrated video, spectrometry and distance sensing platform and processed by a computer. The processed video and spectrometry information are presented in real-time on an integrated display, with a graphical representation of the actual ground instantaneous field of view of the spectrometer sensor overlaid directly onto the video image of the target to provide real-time target aiming information, thus enabling the operator to rapidly optimize spectral data acquisition.

Abstract: A spectroscopy system for high-accuracy, highly automated spectral imaging of a target is provided. Video and spectrometry information are obtained via an integrated video, spectrometry and distance sensing platform and processed by a computer. The processed video and spectrometry information are presented in real-time on an integrated display, with a graphical representation of the actual ground instantaneous field of view of the spectrometer sensor overlaid directly onto the video image of the target to provide real-time target aiming information, thus enabling the operator to rapidly optimize spectral data acquisition.