A5100643508- Power Systems and Technologies
- Security and Verification in Computing
- Digital Rights Management and Security
- EEG and Brain-Computer Interfaces
- Advanced battery technologies research
- Power Systems and Renewable Energy
- Advanced Malware Detection Techniques
- Advanced Photocatalysis Techniques
- Fault Detection and Control Systems
- Neural dynamics and brain function
- Electrocatalysts for Energy Conversion
- Distributed systems and fault tolerance
- Copyright and Intellectual Property
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Functional Brain Connectivity Studies
- Intellectual Property and Patents
- Emotion and Mood Recognition
- Graphene and Nanomaterials Applications
- Cloud Data Security Solutions
- Hong Kong and Taiwan Politics
- Regional Development and Environment
- Socioeconomic Development in Asia
- Landslides and related hazards
- Optimal Power Flow Distribution
Jiangmen Polytechnic
2024
China Southern Power Grid (China)
2024
Chongqing University of Posts and Telecommunications
2022-2024
Wuhan University of Technology
2024
Huazhong Agricultural University
2022-2023
Guilin University of Electronic Technology
2023
Guangxi University
2023
Rice University
2023
Tencent (China)
2022
Shanghai Zhangjiang Laboratory
2022
Abstract Seawater electrolysis with clean hydrogen energy has bright prospects due to the abundant reserves of seawater on our planet. However, highly desirable direct splitting efficient electrocatalyst is still lacking. Herein, Co‐doped metallic VS 2 nanosheets modulated electronic structures and numerous exposed edges were proposed evaluated as superior catalysts for evolution from seawater. The enlarged number through reducing nanosheet size enriching sulfur defects by Co doping...
Granger causality-based effective brain connectivity provides a powerful tool to probe the neural mechanism for information processing and potential features computer interfaces. However, in real applications, traditional causality is prone influence of outliers, such as inevitable ocular artifacts, resulting unreasonable linkages failure decipher inherent cognition states. In this work, motivated by constructing sparse networks under strong physiological outlier noise conditions, we...
The task of cross-modal image retrieval has recently attracted considerable research attention. In real-world scenarios, keyword-based queries issued by users are usually short and have broad semantics. Therefore, semantic diversity is as important accuracy in such user-oriented services, which improves user experience. However, most typical methods based on single point query embedding inevitably result low diversity, while existing diverse approaches frequently lead to due a lack...
Map matching is the process of a series recorded geographic coordinates (e.g., GPS trajectory) to road network. Due positioning errors and sampling constraints, data collected by devices are not precise, location user cannot always be correctly shown on map. Unfortunately, most current map-matching algorithms only consider distance between points segments, topology network, speed constraint segment determine results. In this paper, we propose spatio-temporal based algorithm (STD-matching)...
Purpose EEG analysis of emotions is greatly significant for the diagnosis psychological diseases and brain-computer interface (BCI) applications. However, applications brain neural network emotion classification are rarely reported accuracy recognition cross-subject tasks remains a challenge. Thus, this paper proposes to design domain invariant model EEG-network based identification.Methods A novel brain-inception-network deep learning proposed extract discriminative graph features from...
The past three centuries have witnessed copyright owners competing with distributors for the flow of income generated by new technologies. However, users largely been excluded from this cake-cutting game. neglect users’ interests has posed a serious challenge in user content (‘UGC’) age. New technologies empowered to create UGC, whereas existing law entitles block access source materials and allows UGC platforms exploit without remuneration. This article proposes two-pronged solution...
With the development of technology and need for perception complex surrounding environment information, LIDAR (light detection ranging) systems have more application scenarios - blind navigation is one them. However, current LIDARs on market generally suffer from near range spots several meters. For blind, close information very important their travel safety, course long-distance also necessary. Therefore, we discussed difference between coaxial non-coaxial systems, designed a system based...
Abstract Electroencephalogram (EEG) brain networks describe the driving and synchronous relationships among multiple regions can be used to identify different emotional states. However, methods for extracting interpretable structural features from are still lacking. In current study, a novel deep learning structure comprising both an attention mechanism domain adversarial strategy is proposed extract discriminant networks. Specifically, enhances contribution of crucial rhythms subnetworks...
Trusted Execution Environment (TEE) is a popular technology to protect sensitive data and programs. Recent TEEs have proposed the concept of enclaves execute code processing data, which cannot be tampered with even by malicious OS. However, due hardware limitations security requirements, existing TEE architectures usually offer limited memory management, such as dynamic allocation, defragmentation, etc. In this paper, we present Ashman—a novel software-based management extension on RISC-V,...