A5023515438- Time Series Analysis and Forecasting
- Parallel Computing and Optimization Techniques
- Traffic Prediction and Management Techniques
- Real-Time Systems Scheduling
- Embedded Systems Design Techniques
- Digital Filter Design and Implementation
- Psychology of Moral and Emotional Judgment
- Ethics and Social Impacts of AI
- Distributed and Parallel Computing Systems
- Data Mining Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Physical Unclonable Functions (PUFs) and Hardware Security
- Big Data and Digital Economy
- Cloud Computing and Resource Management
- Media Studies and Communication
- Data Management and Algorithms
- Caching and Content Delivery
- Advanced Data Storage Technologies
- Human Mobility and Location-Based Analysis
- Digital Transformation in Industry
- Digital Games and Media
- Hate Speech and Cyberbullying Detection
- Graph Theory and Algorithms
- Advanced Database Systems and Queries
- Advanced Graph Theory Research
Max Planck Institute for the History of Science
2021-2025
Shanghai Jiao Tong University
2015-2018
With the emergence of cyber-physical systems (CPS), we are now at brink next computing revolution. The Smart Grid (SG) built on top IoT (Internet Things) is one foundations this CPS revolution, which involves a large number smart objects connected by networks. volume time series SG equipment tremendous and raw very likely to contain missing values because undependable network transferring. problem storing thereby providing solid support for precise analytics becomes tricky. In article,...
The concept of sociotechnical imaginaries (SIs) has been widely used and proven fruitful to understand diverging trajectories technologies. While scholars have acknowledged the multi-layered materialisation SIs highlighted importance communicative layer therein, this aspect remained under-conceptualised. Therefore, we propose an analytical framework better Sociotechnical Imaginaries in Public Communication (SIPCs), defined as publicly constructed visions (un)desirable futures that guide...
The societal and ethical implications of artificial intelligence (AI) have sparked discussions among academics, policymakers the public around world. What has gone unnoticed so far are likewise vibrant in China. We analyzed a large sample about AI ethics on two Chinese social media platforms. Findings suggest that participants were diverse, included scholars, IT industry actors, journalists, members general public. They addressed broad range concerns associated with application various...
Data missing in collections of time series occurs frequently practical applications and turns out to be a major menace precise data analysis. However, most the existing methods either might infeasible or could inefficient predict values large-scale coevolving series. Also, evolving needs handled properly adapt temporal characteristic. Furthermore, more massive volume is generated many areas than ever before. In this paper, we have taken up challenge prediction by employing dynamic matrix...
Nowadays, systems for various smart city industries such as power plants, public transportation and integrated modular avionics are becoming increasingly complicated, with most of components being embedded geologically distributed. In order to ensure the availability target systems, prognostic health management develops an important system assess current state estimate future based on modern Industrial Internet Things (IIoT) cloud computing technologies. The early design PHM requires...
As a column-oriented, distributed and high fault-tolerant database, HBase is gradually adopted by manufactory industry due to its huge capacity, fast random read bulk processing performance. Power grid usually generates amount of data from multi-sources with hundreds complicated types. However, JOIN operation performance low in since it was not designed serve relational queries as classic database. How store the ensure sufficient critical problem that must be solved applications. In this...
Being a high end embedded system, an avionic system calls for stringent real time constraints as well secure guarantees. In terms of logical architecture, systems have recently grown into the form Integrated Modular Avionics (IMA) from traditional federated avionics whose redundancy level is overwhelming modern large aircrafts. The key idea IMA lies in rules and space partitioning, which guarantees predictability reliability. However, existing industrial practices partition priority settings...
In the workflow of SKA-SDP (Square Kilometer Array Radio Telescope-Scientific Data Processing), FFT (Fast Fourier Transform) calculation takes a significant proportion computation overhead. Moreover, has to be done within tight power budget, which existing generic high performance computing architectures cannot meet. To explore efficiency computation, this study is designed with initial evaluation implementation in variable precision on Xilinx ML605 FPGA (field programmable gate array). The...
In embedded avionic system, time and space partitioning is introduced to achieve stable secure performance. Tasks must meet the certain constraints when executed. Proper scheduling scheme needed ensure that hardware adequately used all function requirements are met. However, existing partition aware works for no more than 2 partitions only. this paper, a novel of task allocation among multiple proposed. The based on balancing load each preferentially execute tasks can optimize worst respond...
Nowadays, graph theory and matrix are developing very rapidly. Solutions to mathematical problems can be applied solve many realistic problems. Finding submatrix of a specific that satisfies constrains is common hard problem. all-one incidence meaningful But for most researches, they focus on finding elements which adjacent ones. Problem submtrix composed ones across rows columns not well solved. In this paper, we tried First, defined conceptions Hyper-Submatrix, Maximum Hyper-Submatrix N...
The Square Kilometer Array (SKA) under construction aims to be the world's largest telescope. Its Science Data Processing (SDP) is responsible for processing observed data into science-ready products. exa-scale throughtput calls scheduling assign computation tasks networked computing island relieve pressure. Popular methods in classic high performance centers cannot fit perplexing constraints over due evolving telescope management policies and a large number of users across world. Aiming at...