Abstract: The embodiments of the present application provide an image segmentation method, an image segmentation apparatus, and a fully convolutional network system. The method includes: acquiring a target image to be processed; acquiring image feature data of the target image; inputting the image feature data into a pre-trained target network far image segmentation to obtain an output; wherein the target network is a fully convolutional network comprising a hybrid context network structure, and the hybrid context network structure is configured to extract a plurality of reference features at a predetermined scale and fuse them into a target feature that matches a scale of a target object in a segmented image; and wherein the target network is trained with sample images containing target objects at different scales; and obtaining an image segmentation result for the target image based on the output.

Abstract: A multiband antenna includes a plurality of radiation elements, operative within different frequency bands. The multiband microline antenna includes a base substrate that has a signal feeding trace and a partial ground plane, and two or more additional substrates that have multiple microline radiation elements electromagnetically coupled to the signal feeding trace. Each microline radiation element has a width not greater than 0.1 millimeter, and varies in length and resonant frequency. Various disclosed embodiments include a multiband microline folded monopole antenna, a multiband microline loop antenna, a multiband microline inverted-F antenna and a multiband microline ?-shaped antenna.

Abstract: A multiband antenna includes a plurality of radiation elements, operative within different frequency bands. The multiband microline antenna includes a base substrate that has a signal feeding trace and a partial ground plane, and two or more additional substrates that have multiple microline radiation elements electromagnetically coupled to the signal feeding trace. Each microline radiation element has a width not greater than 0.1 millimeter, and varies in length and resonant frequency. Various disclosed embodiments include a multiband microline folded monopole antenna, a multiband microline loop antenna, a multiband microline inverted-F antenna and a multiband microline ?-shaped antenna.

Abstract: A “Universal Rate Control Mechanism with Parameter Adaptation” (URCMPA) improves real-time communication (RTC) sessions in terms of delay, loss, throughput, and PSNR. The URCMPA automatically learns network characteristics including bottleneck link capacity, inherent queuing delay, inherent packet loss rates, etc., during RTC sessions. The URCMPA uses this information to dynamically adapt rate control parameters in a utility maximization (UM) framework. The URCMPA operates reliable RTC sessions across a wide range and combination of networks near full throughput rates while maintaining low operating congestion levels (e.g., low queuing delay and low packet loss). Examples of networks applicable for use with the URCMPA include, but are not limited to, combinations of mobile broadband (e.g., 3G, 4G, etc.), WiMAX, Wi-Fi hotspots, etc., and physical networks based on cable, fiber, ADSL, etc.

Abstract: The invention discloses a paramagnetism-based remote temperature measurement method for magnetic nanoparticles, and the method comprises: applying multiple times of excited magnetic fields on the area of a magnetic nano sample, constructing an equation group between the different excited magnetic fields and corresponding magnetic susceptibilities according to the Langevin's paramagnetic theorem, and obtaining the information of temperature and sample concentration via the equation group. The invention is capable of more precisely and more quickly detecting the temperature of an object, and especially applicable for the detection of thermal motion at bio-molecular level. Experiments indicate the measurement error is less than 0.56K.

Abstract: A “Universal Rate Control Mechanism with Parameter Adaptation” (URCMPA) improves real-time communication (RTC) sessions in terms of delay, loss, throughput, and PSNR. The URCMPA automatically learns network characteristics including bottleneck link capacity, inherent queuing delay, inherent packet loss rates, etc., during RTC sessions. The URCMPA uses this information to dynamically adapt rate control parameters in a utility maximization (UM) framework. The URCMPA operates reliable RTC sessions across a wide range and combination of networks near full throughput rates while maintaining low operating congestion levels (e.g., low queuing delay and low packet loss). Examples of networks applicable for use with the URCMPA include, but are not limited to, combinations of mobile broadband (e.g., 3G, 4G, etc.), WiMAX, Wi-Fi hotspots, etc., and physical networks based on cable, fiber, ADSL, etc.

Abstract: The invention discloses a paramagnetism-based remote temperature measurement method for magnetic nanoparticles, and the method comprises: applying multiple times of excited magnetic fields on the area of a magnetic nano sample, constructing an equation group between the different excited magnetic fields and corresponding magnetic susceptibilities according to the Langevin's paramagnetic theorem, and obtaining the information of temperature and sample concentration via the equation group. The invention is capable of more precisely and more quickly detecting the temperature of an object, and especially applicable for the detection of thermal motion at bio-molecular level. Experiments indicate the measurement error is less than 0.56K.