A5100334794- Traffic Prediction and Management Techniques
- Higher Education and Teaching Methods
- Transportation Planning and Optimization
- Digital Marketing and Social Media
- Human Mobility and Location-Based Analysis
- Service-Oriented Architecture and Web Services
- Complex Network Analysis Techniques
- Chinese history and philosophy
- Opinion Dynamics and Social Influence
- Evacuation and Crowd Dynamics
- Recycled Aggregate Concrete Performance
- Cloud Computing and Resource Management
- Innovative concrete reinforcement materials
- Recommender Systems and Techniques
- China's Ethnic Minorities and Relations
- Recycling and utilization of industrial and municipal waste in materials production
- Educational Technology and Assessment
- Blockchain Technology Applications and Security
- Experimental Behavioral Economics Studies
- Evaluation and Optimization Models
- Technology Adoption and User Behaviour
- Advanced Software Engineering Methodologies
- Business Process Modeling and Analysis
- Building Energy and Comfort Optimization
- Mobile Agent-Based Network Management
Tsinghua University
2006-2025
Beijing Technology and Business University
2024-2025
National University of Defense Technology
2011-2024
East China Normal University
2022-2024
Faculty of Media
2024
Anyang Institute of Technology
2024
Southeast University
2024
Institute of Soil Science
2024
University of Chinese Academy of Sciences
2024
Sanya University
2024
Apache Hive is a widely used data warehouse system for Hadoop, and has been adopted by many organizations various big analytics applications. Closely working with users organizations, we have identified several shortcomings of in its file formats, query planning, execution, which are key factors determining the performance Hive. In order to make continuously satisfy requests requirements processing increasingly high volumes scalable efficient way, set two goals related storage runtime our...
Human hair keratins are readily available, easy to extract, and eco-friendly materials with natural bioactivities. Keratin-based have been studied for applications such as cell culture substrates, internal hemostats liver injury, conduits peripheral nerve repair. However, there limited reports of using keratin-based 3D scaffolds in vitro. Here, we describe the development a keratin hydrogel, which allows living encapsulation under near physiological conditions. The convenience making...
Daily activity data that records individuals' various types of activities in daily life are widely used many applications such as scheduling, recommendation, and policymaking. Though with high value, its accessibility is limited due to collection costs potential privacy issues. Therefore, simulating human produce massive high-quality great importance benefit practical applications. However, existing solutions, including rule-based methods simplified assumptions behavior data-driven directly...
Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic management, resource optimization, and emergence response. Despite remarkable breakthroughs in pretrained natural language models that enable one model to handle diverse tasks, a universal solution remains challenging. Existing approaches are typically tailored specific scenarios, requiring task-specific designs extensive domain-specific training data. In this study, we introduce UniST, designed general...
Apache Spark is an in-memory data processing system that supports both SQL queries and advanced analytics over large sets. In this paper, we present our design implementation of Spark-GPU enables to utilize GPU's massively parallel ability achieve high performance throughput. transforms a general-purpose into GPU-supported by addressing several real-world technical challenges including minimizing internal external transfers, preparing suitable format batching mode for efficient GPU...
Human daily activities, such as working, eating out, and traveling, play an essential role in contact tracing modeling the diffusion patterns of COVID-19 pandemic. However, individual-level activity data collected from real scenarios are highly limited due to privacy issues commercial concerns. In this paper, we present a novel framework based on generative adversarial imitation learning, generate artificial trajectories that retain both fidelity utility real-world data. To tackle inherent...
Spatio-temporal point process (STPP) is a stochastic collection of events accompanied with time and space. Due to computational complexities, existing solutions for STPPs compromise conditional independence between space, which consider the temporal spatial distributions separately. The failure model joint distribution leads limited capacities in characterizing spatio-temporal entangled interactions given past events. In this work, we propose novel parameterization framework STPPs, leverages...
This paper focuses on the disc spring assembly in a certain type of bellows as research object. According to technical requirements bellows, assemblies with different combinations (face-to-face, stacked, and composite) are designed. The influence number discs load friction coefficients is analyzed using numerical simulation methods verified by experiments. results show that face-to-face combination has no effect load, stacked linearly increasing composite non-linear load. Furthermore,...
Business Process Execution Language for Web Services (BPEL4WS) is a kind of concurrent programming languages with several special features that raise challenges verification and testing. This paper proposes graph-search based approach to BPEL test case generation, which effectively deals concurrency semantics. defines an extension CFG (Control Flow Graph) - Graph (BFG) represent program in graphical model. Then paths can be generated by traversing the BFG model, data each path using...
We give conditions under which a general class of delay differential equations has point Bogdanov–Takens or triple zero bifurcation. show how centre manifold projection the reduces dynamics to two- three-dimensional systems ordinary equations. put these in normal form and determine coefficients forms depend on original parameters model. Finally we apply our results two neural models compare predictions theory with numerical bifurcation analysis full One model involves transcritical...
This study investigates the solidification of water plant sludge mixed with domestic waste incineration bottom ash through cement addition, The experiment was carried out by adding same amount in different dry ratio and ash. density solidified body, unconfined compressive strength body were tested. pH value, total nitrogen phosphorus extract original material also It is found that increase ash, increased, coefficient variation gradually decreased, stability improved. At time, coefficients...
In order to adapt the needs of tourism industry transformation and product upgrades, it is increasingly urgent deeply research relationship between culture tourism. This study examines integrated development level cultural in spatial temporal dimensions based on coupling coordination degree, using data 46 prefectures Japan from 2009 2019. It also uses kernel density estimation cluster analysis methods gain insight into patterns association its data. The following two points were found: (1)...
Business Process Execution Language for Web Services (BPEL4WS) is a kind of concurrent programming languages with several special features that raise challenges verification and testing. This paper proposes graph-search based approach to BPEL test case generation, which effectively deals concurrency semantics. defines an extension CFG (Control Flow Graph) - Graph (BFG) represent program in graphical model. Then paths can be generated by traversing the BFG model, data each path using...
Travel time data is an important factor for evaluating the performance of a public transport system. In terms and space within nature uncertainty, bus travel dynamic flexible. Since change traffic status periodic, contagious or even sudden, changing mechanism that hidden mode. Therefore, prediction challenging problem in intelligent transportation system (ITS). Allowing large amount can be collected at present but lack precisely-conducting, it still worth exploring how to extract feature...
Industry 5.0 is seen as the next stage of industrial revolution. However, centralized management vast amount data in poses significant security challenges. Because blockchain can provide a stable decentralized network for 5.0, technology becomes an ideal solution 5.0. with explosion rapidly growing storage requirements are putting unbearable pressure on nodes and users, making it especially important to address scalability blockchain. While using light alleviate nodes, also lead availability...