- Carbon Nanotubes in Composites
- Image and Video Quality Assessment
- Graphene research and applications
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Advancements in Semiconductor Devices and Circuit Design
- Low-power high-performance VLSI design
- Radiation Effects in Electronics
- Analog and Mixed-Signal Circuit Design
- Image and Signal Denoising Methods
- Semiconductor materials and devices
- Advanced Data Compression Techniques
- Quantum-Dot Cellular Automata
- 3D IC and TSV technologies
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Video Coding and Compression Technologies
- Advanced Memory and Neural Computing
- Color Science and Applications
- Image Retrieval and Classification Techniques
- Remote Sensing and LiDAR Applications
- Microencapsulation and Drying Processes
- Molecular Junctions and Nanostructures
- Human Pose and Action Recognition
- Quantum Computing Algorithms and Architecture
Nanjing Institute of Agricultural Mechanization
2022-2024
Ministry of Agriculture and Rural Affairs
2022-2024
China Southern Power Grid (China)
2024
Amazon (United States)
2019-2024
Shanghai University of Traditional Chinese Medicine
2022-2023
National Center of Ocean Standards and Metrology
2021
Gansu Institute of Political Science and Law
2021
Nanjing University of Science and Technology
2020-2021
Ministry of Industry and Information Technology
2020-2021
The University of Texas at Austin
2021
Abstract Multimodal sensor fusion can make full use of the advantages various sensors, up for shortcomings a single sensor, achieve information verification or security through redundancy, and improve reliability safety system. Artificial intelligence (AI), referring to simulation human in machines that are programmed think learn like humans, represents pivotal frontier modern scientific research. With continuous development promotion AI technology Sensor 4.0 age, multimodal is becoming more...
Carbon nanotube field-effect transistors (CNFETs) are excellent candidates for building highly energy-efficient electronic systems of the future. Fundamental limitations inherent to carbon nanotubes (CNTs) pose major obstacles realization robust CNFET digital very large-scale integration (VLSI): 1) it is nearly impossible guarantee perfect alignment and positioning all CNTs despite near-perfect CNT achieved in recent years; 2) can be metallic or semiconducting depending on chirality; 3)...
Feature selection is an important topic in bioinformatics. Defining informative features from complex high dimensional biological data critical disease study, drug development, etc. Support vector machine-recursive feature elimination (SVM-RFE) efficient technique that has shown its power many applications. It ranks the according to recursive deletion sequence based on SVM. In this we propose a method, SVM-RFE-OA, which combines classification accuracy rate and average overlapping ratio of...
Graphene has a high electric heating conversion rate and can be used as new heat source for far-infrared drying equipment to improve efficiency reduce energy consumption. This study aims investigate the kinetics of graphene paddy The infrared (IR) temperatures 35, 40, 45, 50, 55, 60 °C; distances between radiations 25, 30, 40 mm; grain flow 5.0, 6.0, 7.0, 8.0, 9.0 kg/min; dehumidifying air velocities 4, 5.5, 7, 8.5 m/s were studied appropriate time optimal quality. Simultaneously, kinetics,...
Drying is an important means to maintain the quality of peanut pods and reduce risk mildew. Microwave hot air combined drying renowned for its efficacy, low-energy consumption, superior processing quality, rendering it suitable pod drying. However, efficacy hinges greatly on various parameters. To enhance efficiency kinetics using microwave equipment were investigated. Varying power (1.2 kW, 2.4 3.6 kW), temperature (30 °C, 35 40 45 °C), velocity (0.4 m/s, 0.7 1 m/s), radiation time (4 min,...
Metallic carbon nanotubes (CNTs) create source-drain shorts in Carbon Nanotube Field Effect Transistors (CNFETs) resulting excessive leakage (I <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">on</inf> /I xmlns:xlink="http://www.w3.org/1999/xlink">off</inf> ≪ 5) and highly degraded noise margins. A new technique, VLSI-compatible Metallic-CNT Removal (VMR), overcomes metallic CNT challenges by combining layout design with CNFET processing. VMR...
Carbon nanotube (CNT) field-effect transistors (CNFETs) are a promising emerging technology projected to achieve over an order of magnitude improvement in energy-delay product, metric performance and energy efficiency, compared silicon-based circuits. However, due substantial imperfections inherent with CNTs, the promise CNFETs has yet be fully realized. Techniques overcome these have yielded results, but thus far only at large nodes (1 μm device size). Here we demonstrate first very scale...
We present a technique to increase carbon nanotube (CNT) density beyond the as-grown CNT density. perform multiple transfers, whereby we transfer CNTs from several growth wafers onto same target surface, thereby linearly increasing on substrate. This process, called of nanotubes through sacrificial layers, is highly scalable, and demonstrate linear scaling up 5 transfers. also that this results in an ideal drain−source currents field effect transistors (CNFETs). Experimental can be improved...
In dye-sensitized solar cells (DSCs), the electron transfer from photoexcited dye molecules to semiconductor substrates remains a major bottleneck. Replacing TiO2 with ZnO is expected enhance efficiency of DSCs, owing latter possesses much larger mobility, but similar bandgap and band positions as remain. However, record ZnO-based DSCs only 7% compared 13% TiO2-based due even slower electron-transfer rate in which becomes long-standing puzzle. Here, we computationally investigate molecule...
Low-power applications, such as sensing, are becoming increasingly important and demanding in terms of minimizing energy consumption, driving the search for new innovative interface architectures technologies. Carbon nanotube FETs (CNFETs) excellent candidates further reduction, CNFET-based digital circuits projected to achieve an order magnitude improvement energy-delay product compared with silicon-CMOS at highly scaled technology nodes. However, carbon nanotubes (CNTs) inherently subject...
Monolithic three-dimensional (3D) integration enables revolutionary digital system architectures of computation immersed in memory. Vertically-stacked layers logic circuits and memories, with nano-scale inter-layer vias (with the same pitch dimensions as tight-pitched metal layer vias), provide massive connectivity between layers. The are orders magnitude denser than conventional through silicon (TSVs). Such can achieve significant performance energy efficiency benefits compared to today's...
We propose a new model for no-reference video quality assessment (VQA). Our approach uses idea of highly-localized space-time (ST) slices called Space-Time Chips (ST Chips). ST are localized cuts data along directions that \textit{implicitly} capture motion. use perceptually-motivated bandpass and normalization models to first process the data, then select oriented based on how closely they fit parametric natural statistics. show parameters describe these statistics can be used reliably...
Facing the increasingly severe environmental problems, development of a green and sustainable low-carbon economy has become an international trend. In China, core issue economic is effectively resolving contradiction between exploitation utilization fossil energy greenhouse gas emissions (mainly carbon emissions). Based on SAM matrix, we established static Computable General Equilibrium (CGE) model to simulate impact tax policies consumption, emissions, macroeconomics variables under 10, 20,...
Contextuality is a hallmark feature of the quantum theory that captures its incompatibility with any noncontextual hidden-variable model. The Greenberger-Horne-Zeilinger (GHZ)–type paradoxes are proofs contextuality reveal this deterministic logical arguments. However, GHZ-type paradox whose events can be included in fewest contexts and brings strongest nonclassicality remains elusive. Here, we derive context-cover number 3 show saturates lower bound posed by theory. We demonstrate...
We present a new very large scale integration (VLSI)-compatible metallic carbon nanotube (CNT) removal technique called VLSI-compatible CNT (VMR) that overcomes challenges of existing techniques by combining design and processing to create field effect transistors (CNFET) circuits immune imperfections such as mispositioned CNTs. Using VMR, we experimentally demonstrate combinational sequential CNFET logic half-adder sum generators D-latches. These form the fundamental building blocks VLSI...
Carbon nanotube field-effect transistors (CNFETs) are promising candidates for building energy-efficient digital systems at highly-scaled technology nodes. However, carbon nanotubes (CNTs) inherently subject to variations that reduce circuit yield, increase susceptibility noise, and severely degrade their anticipated energy speed benefits. Joint exploration optimization of CNT processing options CNFET design required overcome this outstanding challenge. Unfortunately, existing approaches...
Investigations of complex metabolic mechanisms and networks have become a focus research in the postgenomic area, thereby creating an increasing demand for sophisticated analytical approaches. One such tool is lipidomics analysis that provides, detailed picture lipid composition system at given time. Introducing stable isotopes into studied can additionally provide information on synthesis, transformation degradation individual species. However, capturing entire dynamics still challenge. We...
Video livestreaming is gaining prevalence among video streaming service s, especially for the delivery of live, high motion content such as sport ing events. The quality se videos can be adversely affected by any a wide variety events, including capture artifacts, and distortions incurred during coding transmission. High cause or exacerbate many kinds distortion, blur stutter. Because this, development objective Quality Assessment (VQA) algorithms that predict perceptual motion, live...
There is a pressing need for an automatic road extraction method due to the continuous development of transportation networks. Free from influence weather, satellite-mounted synthetic-aperture radar (SAR) opens way such detection application. This study introduces discrimination based on deep neural network (DNN) adjusted roads dual-polarimetric (VV and VH) Sentinel-1 SAR imagery. In this proposed method, U-Net extended convolutional (CNN), images. To investigate potential using fully (FCN)...
High Dynamic Range (HDR) videos can represent a much greater range of brightness and color than Standard (SDR) are rapidly becoming an industry standard. HDR have more challenging capture, transmission, display requirements legacy SDR videos. With their bit depth, advanced electro-optical transfer functions, wider gamuts, comes the need for video quality algorithms that specifically designed to predict Towards this end, we present first publicly released large-scale subjective study We...
We demonstrate ACCNT (pronounced as ldquoaccentrdquo), a solution to the metallic-nanotube problem that does not require any removal of kind. uses asymmetrically correlated carbon nanotubes achieve tolerance, delivering high on-off ratios (10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> -10 xmlns:xlink="http://www.w3.org/1999/xlink">6</sup> ) while preserving current drive. In addition, this tolerance can be engineered arbitrarily...