A5100701902- Physics of Superconductivity and Magnetism
- Forest Biomass Utilization and Management
- Indoor and Outdoor Localization Technologies
- Blockchain Technology Applications and Security
- Millimeter-Wave Propagation and Modeling
- Biofuel production and bioconversion
- Hydrology and Sediment Transport Processes
- Superconductivity in MgB2 and Alloys
- Quantum and electron transport phenomena
- Remote Sensing and LiDAR Applications
- Municipal Solid Waste Management
- Soil erosion and sediment transport
- Thermochemical Biomass Conversion Processes
- Machine Learning in Materials Science
- Microbial Metabolism and Applications
- Optical Network Technologies
- Security and Verification in Computing
- Cloud Computing and Remote Desktop Technologies
- Geology and Paleoclimatology Research
- Advanced Text Analysis Techniques
- Cloud Data Security Solutions
- Multi-Criteria Decision Making
- Technology and Security Systems
- Metal and Thin Film Mechanics
- Opportunistic and Delay-Tolerant Networks
Southern University of Science and Technology
2022-2024
University of Regina
2017-2023
Hubei Academy of Environmental Sciences
2023
Xinjiang Academy of Animal Science
2022
Kunming University of Science and Technology
2022
Public cloud platforms have employed Trusted Execution Environment (TEE) technology to provide confidential computing services. However, applications running on TEEs are susceptible rollback or forking attacks. Their states can be rolled back an outdated version split into multiple conflicting versions, violating state continuity. Existing solutions against these attacks either rely centralized trust assumption ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Public cloud platforms have leveraged Trusted Execution Environment (TEE) technology to provide confidential computing services. However, TEE-protected applications still suffer from rollback or forking attacks, in which their states could be rolled back a stale version forked into multiple versions, resulting state continuity violations. Existing solutions against these attacks either rely on weak threat models based centralized trust (e.g., trusted server) large performance overheads tens...
The advent of the 5G network provides reliable connectivity, higher throughput, better service quality and more efficient signaling. traffic load will continuously rise with mobile users using internet services. In this context, there is a need to forecast wireless manage resources efficiently increase resilience. However, being at its infancy stage, lack datasets available consequently research on prediction related use cases. To overcome challenge, simulation software can provide way...
New Product Development (NPD) process is recognised as one important competitive advantage for most companies which include high risk and uncertainty. Hence, this study aims at accelerating new product introduction improving the quality of decision-making in NPD under risks uncertain conditions. This paper suggests an integrated framework based on Fuzzy Analytic Hierarchy Process (AHP) Technique Order Performance by Similarity to Ideal Solution (TOPSIS), evaluate products a fuzzy environment...
Existing methods aligning language models with various human needs are reliant heavily on high-quality and task-specific data. However, industrial deployment of often encounter challenges in the availability appropriate training samples. Taking meeting summarization for instance, public datasets scarce, private corpora also hard to obtain due privacy issues or resource-demanding annotation. To improve absence positively-rated (i.e., ``good'') samples, we propose Score Tuning, a cold start...
The mining of placer iron ore greatly influences the surrounding desert grassland. In Agdala Town, Qinghe County, Xinjiang, soil seed bank is severely damaged, and utilization productivity grasslands are almost zero, which seriously affects safety ecological environment development local animal husbandry. It very important to supplement banks enhance species composition after restoration. this study, effects bank, composition, burial depth on seedling emergence rate at site before artificial...
Abstract We report for the first time use of experimental electron density (ED) as training data generation drug-like three-dimensional molecules based on structure a target protein pocket. Similar to structural biologist building their ED, our model functions with two main components: generative adversarial network (GAN) generate ligand ED in input pocket and an interpretation module molecule generation. The was tested three targets including kinase (HPK1), protease (Covid19-3CL), nuclear...
Rapidly and randomly drifted reference frames will shorten the link distance decrease secure key rate of realistic quantum distribution (QKD) systems. However, an actively or inappropriately implemented calibration scheme increase complexity systems may open security loopholes. In this article, we present a free-running reference-frame-independent (RFI) QKD scheme, where measurement events are classified into multiple slices with same misalignment variation each slice performs...
The Daliang Mountain region, characterized by its widespread debris flow-pone catchments, is the primary sediment source area for Yangtze River, and has experienced intensive human activity over past half century. Knowledge of soil erosion patterns under different practices crucial in predicting future dynamics optimizing spatial layout conservation strategies region. Here, we combined lake deposits with areas to quantify relative contributions provenance their corresponding SY, examine...
Semiconducting diode with nonreciprocal transport effect underlies the cornerstone of contemporary integrated circuits (ICs) technology. Due to isotropic superconducting properties and lack breaking inversion symmetry for conventional s-wave superconductors, such a peer is absent. Recently, series structures, including superlattice quantum-material-based Josephson junction, have exhibited in terms polarity-dependent critical current. However, due complex these composite systems are not able...
High precision positioning, as a key factor for the most resource management algorithms, has attracted lot of attention due to its crucial role in some new applications such smart factories, IoT, and autonomous cars. Indoor one out two major categories is very complicated process achieving high precisions tough process. This paper proposes an innovative machine learning based technology indoor positioning system deal with highly complex data sets. The proposed method combines KNN,...
Quantum Griffiths singularity (QGS), which is closely correlated with the quenched disorder, characterized by divergence of dynamical critical exponent and presence activated scaling behavior. Typically such a quantum phenomenon rather rare only observed in extremely low temperatures. Here we report experimental observation robust QGS nitride thin films, NbN, survives high temperature range. The electrical transport propertied were measured under magnetic field up to 12 T. induced...