A5011036221- Physical Unclonable Functions (PUFs) and Hardware Security
- Mechanical Circulatory Support Devices
- Advanced Neural Network Applications
- Fuel Cells and Related Materials
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Memory and Neural Computing
- Enhanced Oil Recovery Techniques
- Random lasers and scattering media
- Domain Adaptation and Few-Shot Learning
- Hydrocarbon exploration and reservoir analysis
- Cardiac Structural Anomalies and Repair
- Advanced Optical Imaging Technologies
- Brain Tumor Detection and Classification
- Energy Harvesting in Wireless Networks
- Remote Sensing and Land Use
- Advanced Vision and Imaging
- Heat Transfer and Optimization
- Video Surveillance and Tracking Methods
- Industrial Vision Systems and Defect Detection
- CO2 Sequestration and Geologic Interactions
- Dental Radiography and Imaging
- Neuroscience and Neural Engineering
- Medical Image Segmentation Techniques
- Methane Hydrates and Related Phenomena
- Hydraulic Fracturing and Reservoir Analysis
China Academy of Engineering Physics
2018-2024
Zhejiang University of Science and Technology
2021-2024
Weill Cornell Medicine
2024
China Agricultural University
2020-2024
Tri-Institutional PhD Program in Chemical Biology
2024
Fujian Provincial Hospital
2024
Cornell University
2024
Zhejiang University
2013-2023
China Jiliang University
2018-2022
Tsinghua University
2016-2021
Fine-grained image classification methods often suffer from the challenge that subordinate categories within an entry-level category can only be distinguished by subtle differences. Crop disease is affected various visual interferences, including uneven illumination, dew, and equipment jitter. It demands effective algorithm to accurately discriminate one others. Thus, representational ability of needs strengthened learn a robust domain-specific discrimination through way. To address this...
Enhanced oil recovery (EOR) using nanofluids has been proposed in recent years, but the mechanism of enhancement through nanofluid injection still needs further study. In this study, pore-scale performance and EOR were investigated based on a micromodel experiment. The sample was designed to compare silica-based homogeneous water-wet sandstone reservoirs. behavior 0.1% wt water-base silica nanofluid-displacing (dodecane) compared deionized (DI) water-displacing case. Residual saturation...
Abstract Currently, there is a growing demand for water treatment technologies considering global environmental challenges such as degradation and depletion of resources. Micro- nanobubble (MNB) technology its application wastewater has emerged problem-solving alternative challenges. This paper reviews the important studies on in areas MNBs discusses their fundamental properties, bubble stability (as tiny entities solutions), generation methods, various chemical physical features. The...
The fully autonomous harvesting of oyster mushrooms in the greenhouse requires development a reliable and robust robot. In this paper, we propose an oyster-mushroom-harvesting robot, which can realize operations entire greenhouse. two crucial components robot are perception module end-effector. Intel RealSense D435i is adopted to collect RGB images point cloud real time; improved SSD algorithm proposed detect mushrooms, finally, existing soft gripper manipulated grasp mushrooms. Field...
Abstract Counterfeit electronics are a growing problem for the electronic information industry worldwide, so developing unbreakable security tags is crucial to ensure trustworthiness and traceability of electronics. Traditional anticounterfeiting trace solutions rely on reproducible deterministic processes additional labels, which can still be copied or faked by counterfeiters. Herein, physical unclonable functions enabled spontaneously formed plasmonic core–shell nanoparticles electrodes...
In this paper, we propose a prototype-based classification model for evolving data streams, called SyncStream, which allows dynamically modeling time-changing concepts, making predictions in local fashion. Instead of learning single on fixed or adaptive sliding window historical ensemble set weighted base classifiers, SyncStream captures concepts by maintaining prototypes proposed P-Tree, are obtained based the error-driven representativeness and synchronization-inspired constrained...
A pore-scale high-pressure visualization experimental system is used to investigate CO2 exsolution during the huff-n-puff process for enhanced oil recovery and geological storage. Eighteen different cases are examined mechanisms by which depressurization-induced affected a near-miscible vs an immiscible CO2/oil initial state, depressurization rate, presence of water phase under wettability conditions. divided into three processes: nucleation, growth coalescence, migration. Visual...
Inspired by biological diversity and uniqueness, the concept of bionic optical physical unclonable functions (PUFs) is proposed. Production simple, low-cost, green environmentally friendly. The extracted binary codes from PUFs are random, unclonable, robust enough for applications in entity authentication encrypted communication.
This paper presents a novel markerless augmented reality based piano teaching system, which tracks the real keyboard of naturally. Following virtual hands on keyboard, beginners can practice playing piano. Instead marker in traditional AR geometrical parameters are detected to calculate transformation matrix from coordinate camera coordinate. We first extract all contours image, possible found. Then area is identified by structure white and black keys predefined. evaluated system with speed...
Abstract Physical unclonable function (PUF) is promising for anticounterfeiting and security applications. In this paper, a PUF concept demonstrated based on the stochastic generation of nanodot matrix via mechanical stripping gold film kirigami with arrayed nanoscale split‐ring cuts. The random occurrence nanofracture metallic nanoconnection at parts results in unpredictable remaining (labeled as “1”) or peeling‐off “0”) nanodots each unit thus generates binary matrix. highest randomness,...
Digital optical phase conjugation (DOPC) emerges as a promising technique for controllable delivery in strongly scattering media. Notably, due to the long-standing challenges accurate alignment of wave-front sensor and spatial light modulator (SLM), conventional DOPC systems heavily rely on digital calibration misalignments between these two devices, which will significantly increase pixel crosstalk SLM thus degrade performance systems. To circumvent this mitigation crosstalk, here we...
Sufficient pulsation is important for physiologic perfusion if adequate flow to be guaranteed. A fuzzy control method rotary blood pumps using active speed modulation proposed in this article. It maintains the mean aortic pressure provide sufficient while it simultaneously enhances pulse pressure. The controller uses indices extracted from as feedback determine amplitude and offset of rectangular waveform, which synchronous with cardiac cycle. An additional algorithm included prevent...
The increasing security threat is a serious challenge to the internet of things (IoT). Hardware‐based primitive an essential and powerful way protect IoT devices from various attacks. But most current hardwares are based on macrophysical features, which usually produced by reproducible deterministic processes can be copied counterfeiters. Herein, physical unclonable function (PUF) with high robustness intrinsic random micro‐/nanostructures electronic packages proposed thereby demonstrating...