Xidian University

About: Xidian University is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Antenna (radio) & Synthetic aperture radar. The organization has 32099 authors who have published 38961 publications receiving 431820 citations. The organization is also known as: University of Electronic Science and Technology at Xi'an & Xīān Diànzǐ Kējì Dàxué.

Field-Plated Lateral $\beta$ -Ga 2 O 3 Schottky Barrier Diode With High Reverse Blocking Voltage of More Than 3 kV and High DC Power Figure-of-Merit of 500 MW/cm 2

Abstract: In this letter, we report on demonstrating high-performance field-plated lateral $\beta $ -Ga2O3 Schottky barrier diode (SBD) on a sapphire substrate with a reverse blocking voltage of more than 3 kV and a low dc specific ON-resistance ( ${R}_{{ \mathrm{\scriptscriptstyle ON}, \text {sp}}}$ ) of 24.3 $\text{m}\Omega \cdot $ cm2 at an anode–cathode spacing ( ${L}_{\text {AC}}$ ) of $24~\mu \text{m}$ . To the best of our knowledge, this lateral breakdown voltage (BV) >3 kV with dc power figure-of-merit (FOM) >370 MW/cm2 is the highest BV achieved among all the $\beta $ -Ga2O3 SBDs. Meanwhile, lateral $\beta $ -Ga2O3 SBD with ${L}_{\text {AC}} = \text {16}\,\,\mu \text{m}$ also demonstrates a high BV of 2.25 kV and low ${R}_{{ \mathrm{\scriptscriptstyle ON}, \text {sp}}} = \text {10.2}\,\,\text{m}\Omega \cdot $ cm2, yielding a record high dc power FOM of 500 MW/cm2. Combining with 109 high-current ON/OFF ratio, 1.15-eV Schottky barrier height and 1.25 ideality factor, $\beta $ -Ga2O3 SBD with field-plate structure shows its great promise for power electronics applications.

From Semantic Communication to Semantic-Aware Networking: Model, Architecture, and Open Problems

Abstract: Existing communication systems are mainly built based on Shannon's information theory, which deliberately ignores the semantic aspects of communication. The recent iteration of wireless technology, 5G and beyond, promises to support a plethora of services enabled by carefully tailored network capabilities based on contents, requirements, as well as semantics. This has sparked significant interest in semantic communication, a novel paradigm that involves the meaning of messages in communication. In this article, we first review classic semantic communication frameworks and then summarize key challenges that hinder its popularity. We observe that some semantic communication processes such as semantic detection, knowledge modeling, and coordination can be resource-consuming and inefficient, especially for communication between a single source and a destination. We therefore propose a novel architecture based on federated edge intelligence for supporting resource-efficient semantic-aware networking. Our architecture allows each user to offload computationally intensive semantic encoding and decoding tasks to edge servers and protect its proprietary model-re-lated information by coordinating via intermediate results. Our simulation result shows that the proposed architecture can reduce resource consumption and significantly improve communication efficiency.

An aftertreatment technique for improving the accuracy of Adomian's decomposition method

Abstract: Adomian's decomposition method (ADM) is a nonnumerical method which can be adapted for solving nonlinear ordinary differential equations. In this paper, the principle of the decomposition method is described, and its advantages as well as drawbacks are discussed. Then an aftertreatment technique (AT) is proposed, which yields the analytic approximate solution with fast convergence rate and high accuracy through the application of Pade approximation to the series solution derived from ADM. Some concrete examples are also studied to show with numerical results how the AT works efficiently.

Experimental Cerenkov luminescence tomography of the mouse model with SPECT imaging validation.

Abstract: Optical molecular imaging resulting from Cerenkov radiation has become a motivating topic recently and will potentially open new avenues for the study of small animal imaging. Cerenkov-based optical imaging taken from living animals in vivo has been studied with two-dimensional (2D) planar geometry and three-dimensional (3D) homogeneous mouse model. In this study, we performed 3D Cerenkov-based luminescence tomography (CLT) using a heterogeneous mouse model with an implanted Na131I radioactive source, which provided the accurate location for the reconstructed source. Furthermore, single photon emission computed tomography (SPECT) was utilized to verify the results of 3D CLT. We reconstructed the localization and intensity of an embedded radioactive source with various concentrations, and established a quantitative relationship between the radiotracer activity and the reconstructed intensity. The results showed the ability of in vivo CLT to recover the radioactive probe distribution in the heterogeneous mouse model and the potential of a SPECT imaging validation strategy to verify the results of optical molecular tomography.