A5064659803- Parallel Computing and Optimization Techniques
- Distributed and Parallel Computing Systems
- Internet Traffic Analysis and Secure E-voting
- Network Security and Intrusion Detection
- Advanced Data Storage Technologies
- Advanced Steganography and Watermarking Techniques
- Data Management and Algorithms
- Image and Video Quality Assessment
- Cloud Computing and Resource Management
- Distributed systems and fault tolerance
- Advanced Algebra and Logic
- Rough Sets and Fuzzy Logic
- Advanced Clustering Algorithms Research
- ECG Monitoring and Analysis
- GaN-based semiconductor devices and materials
- Digital and Cyber Forensics
- Non-Invasive Vital Sign Monitoring
- Ga2O3 and related materials
- Scheduling and Optimization Algorithms
- Heart Rate Variability and Autonomic Control
- Network Traffic and Congestion Control
- Data Mining Algorithms and Applications
- Digital Media Forensic Detection
- Nanowire Synthesis and Applications
- Caching and Content Delivery
Anhui Normal University
2018-2024
Nanjing University of Posts and Telecommunications
2018-2021
Yangzhou University
2009
University of Chicago
2003-2006
Laboratoire d'Informatique de Paris-Nord
2004
While distributed, heterogeneous collections of computers ("Grids") can in principle be used as a computing platform, practice the problems first discovering and then organizing resources to meet application requirements are difficult. We present general-purpose resource selection framework that addresses these by defining service for locating Grid match requirements. At heart this is simple, but powerful, declarative language based on technique called set matching, which extends Condor...
In this paper, we first present a linear programming based approach for modeling and solving the resource matching problem in grid environments with heterogeneous resources. The described takes into account sharing, job priorities, dependencies on multiple types, specific policies. We then propose Web service style architecture online of independent jobs resources environment describe prototype implementation. Our preliminary performance results indicate that is efficient speed accuracy can...
Reflection-type photoplethysmography (PPG) pulse sensors are widely used in consumer markets to measure cardiovascular signals. Different from off-chip package solutions which the light-emitting diode (LED) and photodetector (PD) separate chips, a GaN integrated optoelectronic chip with novel ring structure is proposed realize PPG sensor. The consists of two multiple-quantum well (MQW) diodes. For higher sensitivities, central peripheral MQW diodes suitable as LED PD, respectively. results...
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable sustained applications. However, the continuously complexity of high computer applications makes this process difficult. We introduce statistical reduction method be used guide selection system metrics are both necessary sufficient describe observed behavior, thus reducing instrumentation perturbation volume managed. To evaluate our strategy, we applied it...
Network classification is the key of network supervision, QoS (Quality Service) guarantee, and security. This paper devises a novel chain structure for fine-grained video streams with less memory, lower latency higher accuracy. The classifies Internet videos from perspective QoS. It applies modified Chi-squared algorithm to discretize data, uses boost performance. proposed scheme compared different Ensemble Learning methods structures. experimental results suggest that method better than...
We report a monolithically integrated ultraviolet (UV) photoelectric switch based on GaN-on-silicon platform for the first time. The novel consists of U-shaped trench metal-oxide-semiconductor field effect transistor (UMOSFET), an InGaN/GaN multiple quantum wells (MQW) UV photodiode (PD), and thin-film resistor. A common blue light-emitting diode epi wafer is adopted to design fabricate without extra epitaxy growth or ion implantation process, which greatly simplifies fabrication. backside...
There are some problems in network traffic classification (NTC), such as complicated statistical features and insufficient training samples, which may cause poor effect.A NTC architecture based on one-dimensional Convolutional Neural Network (CNN) transfer learning is proposed to tackle these improve the fine-grained performance.The key points of include: (1) Model classification--by extracting normalized rate feature set from original data, plus existing optimize CNN model.(2) To apply...
Abstract Network traffic classification has been as a research hots pot in network studies. However, previous predominantly focused on coarse-grained classification, neglecting fine-grained among flows. As the increasing demand for personalized services, of flows become imminently. This study discusses task mainly, specifically chat We proposed Convolutional Neural (CNN)-based method real-time Firstly, we pre-process five-tuple data, analysis probabilistic feature values about protocols by...
Multimedia data especially video traffic becomes increasingly popular in Internet traffic. How to extract effective features from streams for fine-grained classification is a huge challenge. This paper collected 6 kinds of typical online the real network, analyzes and proposes new set features, e.g. statistics valid main protocol values flow remove useless information getting values. Experimental results show that these perform better fine grained comparison with an existing method.
Clustering analysis is the core technology of data mining. However, massive makes it difficult for traditional clustering algorithms to have better effects. At present, a more effective way solve such problems detect cluster boundary by means point detection algorithm, and then combine with algorithm. In this paper, we propose points algorithm based on representation. It does not need understand dimension meaning data. only necessary construct expression matrix W through specific can...