A5102007811- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Scheduling and Optimization Algorithms
- Cloud Computing and Resource Management
- Service-Oriented Architecture and Web Services
- Distributed and Parallel Computing Systems
- Simulation Techniques and Applications
- Collaboration in agile enterprises
- Robotics and Automated Systems
- Child Development and Digital Technology
- Neural Networks and Applications
- Fuzzy and Soft Set Theory
- Industrial Technology and Control Systems
- Bullying, Victimization, and Aggression
- Advanced Manufacturing and Logistics Optimization
- Traffic Prediction and Management Techniques
- Lung Cancer Treatments and Mutations
- Health and Medical Research Impacts
- Child and Adolescent Psychosocial and Emotional Development
- Blockchain Technology Applications and Security
- Advanced Text Analysis Techniques
- Advanced Algebra and Logic
- Industrial Vision Systems and Defect Detection
- Manufacturing Process and Optimization
- Rough Sets and Fuzzy Logic
Beihang University
2010-2025
Harbin Medical University
2024
Beijing Institute of Technology
2022
Ingenico (France)
2015
With the development of technologies, such as big data, cloud computing, and Internet Things (IoT), digital twin is being applied in industry a precision simulation technology from concept to practice. Further, plays very important role healthcare field, especially research on medical pathway planning, resource allocation, activity prediction, etc. By combining healthcare, there will be new efficient way provide more accurate fast services for elderly healthcare. However, how achieve...
Multidisciplinary design of complex products leads to an increasing demand for high performance simulation (HPS) platforms. One great challenge is how achieve efficient utilisation large-scale resources in distributed and heterogeneous environments. This article reports a virtualisation-based methodology realise HPS platform. research driven by the issues concerning deployment environment construction, transparent fine-grained reliable with fault tolerance. A framework platform (VSIM) first...
Transformer-based language models have achieved notable success, yet their internal reasoning mechanisms remain largely opaque due to complex non-linear interactions and high-dimensional operations. While previous research suggests that these implicitly encode structures, it is still unclear which specific multi-step thought processes they employ solve tasks. To address this gap, we propose a novel mechanistic interpretability framework, SICAF, designed trace analyze the strategies use in...
Dynamic task scheduling problem in cloud manufacturing (CMfg) is always challenging because of changing requirements and services. To make instant decisions for requirements, deep reinforcement learning-based (DRL-based) methods have been broadly applied to learn the policies service providers. However, current DRL-based struggle fine-tune a pre-trained policy effectively. The resulting training from scratch takes more time may easily overfit environment. Additionally, most with uneven...
Lattice-valued semiuniform convergence structures are important mathematical in the theory of lattice-valued topology. Choosing a complete residuated lattice $L$ as background, we introduce new type filters using tensor and implication operations on $L$, which is called $\top$-filters. By means $\top$-filters, propose concept $\top$-semiuniform counterpart structures. Different from usual discussions structures, show that category spaces topological monoidal closed when without any other...
Virtualization is a crucial technology of cloud computing to enable the flexible use significant amount distributed services on pay-as-you-go basis. As service demand continuingly increases global scale, efficient virtual machine consolidation becomes more and imperative. Existing heuristic algorithms targeted mostly at minimizing either rate level agreement violations or energy consumption cloud. However, communication overhead among different machines decision time are rarely considered....
The primary aim of this study is to investigate the mediating role school adaptation in impact adolescent bullying victimization on mental health, as well gender differences therein. These findings offer a novel perspective for parents and educators, aiding bullied adolescents managing addressing health concerns.
Recently, a new advanced service-oriented networked manufacturing model: Cloud Manufacturing (CMfg) has been proposed. The optimal allocation of computing resources (OACR) for the whole life-circle is an important part CMfg. In order to implement allocation, A model and tasks in CMfg presented this study, which both computation communication factors are considered, formalized description on their dynamic process given out. Primary constraints were introduced objective was Then standard...
Collaborative manufacturing tasks for complex product makes an urgent demand integration of the increasing amount distributed resources on internet, which should achieve high scalability data management, performance computing tasks, and reliability underlying infrastructure. However, current solutions, such as popular SOA based integration, can't cover all above. This paper proposed a virtual model network consists hardware infrastructure layer, virtualization services management...
These tutorials discuss the following: Application of information technology in integration cross-industry business models; Holistic identity and access management at Morgan Stanley; Big Data inaugurate a new era mobile payment; smart park based on Data; analytics for business; education Data.