A5103056399- Distributed and Parallel Computing Systems
- Advanced Computational Techniques and Applications
- Simulation and Modeling Applications
- Model-Driven Software Engineering Techniques
- Parallel Computing and Optimization Techniques
- Service-Oriented Architecture and Web Services
- Educational and Technological Research
- Advanced Decision-Making Techniques
- Embedded Systems Design Techniques
- Machine Learning and ELM
- Cognitive Computing and Networks
- Complex Systems and Time Series Analysis
- AI-based Problem Solving and Planning
- Data Visualization and Analytics
- Technology and Security Systems
- Distributed systems and fault tolerance
- Artificial Intelligence in Healthcare
- Big Data Technologies and Applications
- Scheduling and Timetabling Solutions
- Traffic Prediction and Management Techniques
- Advanced Data Storage Technologies
- Software Testing and Debugging Techniques
- Auction Theory and Applications
- Neural Networks and Applications
- Technology and Data Analysis
Institute for Forecasting of the Slovak Academy of Sciences
2023
Cytoskeleton (United States)
2023
Tianjin University
2004-2022
Beijing Normal University
2020
System Simulation (United Kingdom)
2020
Tianjin University of Science and Technology
2007
In the fields of traffic management, health, and vehicle safety, speed prediction is an important research topic. The greater difference between average speed, or more discrete distribution, higher accident rate. This paper proposes a method based on adaptive KF (Kalman filtering) in ARMA (Autoregressive Moving Average) environment to address problem high-speed moving prediction. theory used model time series. contribution rate each coefficient representing original series different after...
Modeling and programming parallel applications is becoming unavoidable for next generation of software architects programmers, owing to the popularization multi-core processors. ParDT a graphical model-driven development toolsuite which supports not only modeling programs on high abstraction level but translation constructed models into source code skeletons according specific runtime environments libraries. The process translation, involves parsing aimed at different platforms, are...
Parallel Application Visual Modeling (PAVM) is a system that simplifies the development of parallel applications by providing graphical user interface for visually modeling and generating corresponding source code framework according to constructed model. The specification construction blocks composition rules are proposed help construct feasible visual models. Model checker designed conduct model verification, generator implemented translate models framework. PAVM based on DSL tools. With...
This paper provides an in‐depth analysis and discussion of the key issues quality management, evaluation, detection contained in big data for automotive application scenarios. A generalized management model programming framework are proposed, a series repair interfaces built to express processing semantics various issues. Through this interfaces, users can quickly build custom tasks different requirements. To improve operational efficiency complex algorithms large‐scale scenarios,...
ParaModel is an extensible system for simplifying the development of parallel applications, by providing a unified user interface modeling visually while generating different code skeletons according to specific runtime environment automatically. A set construction blocks and rules designed describe applications in form graph, parsers environments are implemented translate graph source skeletons. basing on Eclipse compatible with its plug-in architecture. With help ParaModel, developers can...