A5043434694- Catalytic Processes in Materials Science
- Catalysis and Oxidation Reactions
- Tactile and Sensory Interactions
- Machine Learning and ELM
- Nanomaterials for catalytic reactions
- Advanced Computing and Algorithms
- Conducting polymers and applications
- Image Processing Techniques and Applications
- Video Surveillance and Tracking Methods
- Supercapacitor Materials and Fabrication
- Gaze Tracking and Assistive Technology
- Advanced Algorithms and Applications
- Mining Techniques and Economics
- Electrocatalysts for Energy Conversion
- Magnetic Properties and Synthesis of Ferrites
- EEG and Brain-Computer Interfaces
- Advanced Neural Network Applications
- Smart Parking Systems Research
- Mineral Processing and Grinding
- Copper-based nanomaterials and applications
- Geotechnical and Geomechanical Engineering
- Catalysts for Methane Reforming
- Autonomous Vehicle Technology and Safety
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
Nanjing University of Posts and Telecommunications
2021-2025
Guangdong University of Technology
2016-2019
The acid and alkali treated OMS-2 catalysts were prepared evaluated as the for DME toluene combustion.
It is challenging for wearable obstacle avoidance devices to simultaneously meet practical demands of high reliability, rapid response, long-lasting duration, and usable design. Here we report a device, comprising set self-developed glasses (weighing ~400 grams, including an ~80 grams battery) common smartphone. Specifically, the collect multi-modal data comprehensive environmental perception, video depth modalities, implement depth-aided compression module. This module not only adaptively...
Lavender-like α-MnO<sub>2</sub>@α-MnO<sub>2</sub> and balsam pear-like α-MnO<sub>2</sub>@γ-MnO<sub>2</sub> were prepared exhibited a better performance than that of in dimethyl ether combustion.
The hierarchical pine tree-like α-MnO<sub>2</sub>are controlled synthesized at room temperature without any template. α-MnO<sub>2</sub>displays superior activity in the catalytic combustion of dimethyl ether.
With the continuous development of Industrial In-ternet Things (IIoT), obstacle detection for automated guided vehicles (AGVs) has become an urgent problem to be solved. However, existing solutions face difficulties in employing limited computational resources AGVs simultaneously achieve rapid and precise detection. In order tackle this problem, paper introduces a semantic-driven cross-modal scheme that jointly utilizes semantic encoding real-time transmission enhances precision by exploring...
Integrating visual-haptic remote control is an important application direction in the Industrial Internet of Things (IIoT). Cross-modal communications are considered to be effective technology support this application. However, due limited bandwidth and competition between modalities, quality visual transmission end user's immersive experience cannot guaranteed practical scenarios. To overcome dilemma, paper proposes a super-resolution reconstruction strategy for cross-modal communications....
Currently, traffic trends to grow explosively under the scenarios of advanced wireless communication networks and diversified services. How design suitable model accurately efficiently predict has become a significant technical challenge. To get over this dilemma, paper proposes lightweight broad learning system (LBLS) for prediction. Specifically, LBLS firstly adopts restricted Boltzmann machine (RBM) perform feature extraction. Then, gated recurrent unit (G RU) is introduced into...
Accurate and efficient people counting is essential to improve energy efficiency, space utility, user comfort in smart buildings. However, existing schemes suffer from an inherent limitation that more or less intrusive imprecise. Here we report a lightweight multi-objective approach for estimating indoor counts. Specifically, arrange infrared array sensor at the entrance, extract spatial position of moving targets each frame, then judge entry exit sequence according target trajectories....