- Service-Oriented Architecture and Web Services
- Complex Network Analysis Techniques
- Caching and Content Delivery
- Optical Network Technologies
- Advanced Fiber Laser Technologies
- Web Data Mining and Analysis
- Topic Modeling
- Recommender Systems and Techniques
- Advanced Photonic Communication Systems
- Photonic Crystal and Fiber Optics
- Advanced Computational Techniques and Applications
- Peer-to-Peer Network Technologies
- Cloud Computing and Resource Management
- Distributed and Parallel Computing Systems
- Expert finding and Q&A systems
- Data Management and Algorithms
- Advanced Graph Neural Networks
- Advanced Database Systems and Queries
- Traffic Prediction and Management Techniques
- Advanced Text Analysis Techniques
- Scientific Computing and Data Management
- Opinion Dynamics and Social Influence
- Laser-Matter Interactions and Applications
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Zhejiang Technical Institute of Economics
2025
Computer Network Information Center
2015-2024
Chinese Academy of Sciences
2015-2024
Fudan University
2024
Peking University
2024
Energy Storage Systems (United States)
2022
Wind Power Engineering (Japan)
2022
Schneider Electric (Spain)
2020
Software (Spain)
2020
AVEVA (Sweden)
2020
This paper presents the design of a smart home system based on Internet Things (IOT) and service component technologies. The current situation IOT has been analyzed in detail. An approach SOA technology proposed applied, which can help to realize every-changing dynamic semantic integration web services. Furthermore, software architecture main modules are explained as well. Finally, this discussed heterogeneous information fusion Things.
As big data technology continues to penetrate the field of education, assessment English education is at a pivotal moment transformation. Traditional methods, by overlooking rich learning processes and individual differences, fail meet demands modern educational evaluation. This study aims explore application analysis in evaluating enhancing outcomes education. Initially, it introduces revolutionary significance for transforming emphasizing customization personalized pathways support...
Top-k approximate querying on string collections is an important data analysis tool for many applications, and it has been exhaustively studied. However, the scale of problem increased dramatically because prevalence Web. In this paper, we aim to explore efficient top-k similar matching problem. Several strategies are introduced, such as length aware adaptive q-gram selection. We present a general based framework propose two algorithms introduced. Our techniques experimentally evaluated...
Traffic information system may produce massive and complex traffic data with the process of collecting real-time original GPS (Global Positioning System) data, matching positions to a map generating flow information, which brings great markets for even-worse condition in China. Howerver, several issues would occur when we reuse these history mining applying on-hand database management tools or traditional processing apporaches, such as storage, high performance processing, open interface....
Recently, integrative pharmacology(IP) has become a pivotal paradigm for the modernization of traditional Chinese medicines(TCM) and combinatorial drugs discovery, which is an interdisciplinary science establishing in vitro vivo correlation between absorption, distribution, metabolism, excretion/pharmacokinetic(ADME/PK) profiles TCM molecular networks disease by integration knowledge multi-disciplinary multi-stages. In present study, internet-based Computation Platform IP TCM(TCM-IP,...
We report on an all normal dispersion harmonically mode-locked ytterbium-doped femtosecond fiber laser. The mode-locking mechanism of the laser is based nonlinear polarization evolution with strong pulse shaping. Bandpass filtering achieved a cascaded long-period grating, forming highly chirped pulses. generates stable 2.5-ps duration pulses at repetition rate 125.39 MHz that could be dechirped externally to 310 fs maximum energy 0.36 nJ.
Currently, all of China's major commercial aircrafts have used QAR (Quick Access Recorder) to collect flight data. Considering that the large scale data both in amount and high feature dimension, can be applied only 10% its potential value. Moreover, how measure overrun risk for issue is rarely involved. In this paper, we proposed a novel approach evaluate using The main process our find out most important factors affecting safety landing phase extracted 76 variables from 2000+ factors. Then...
We report an all-normal-dispersion, low-repetition-rate, high-energy, twin-pulse, passively mode locked ytterbium-doped fiber laser. The mode-locking mechanism of the laser is based on nonlinear polarization evolution and strong pulse shaping with a cascade long-period grating bandpass filtering in highly chirped pulse. generates stable twin-pulse group 248 ps 296 duration simultaneously maximum energy 26.8 nJ—each at 2.5445 MHz repetition rate. Energy quantization observed, which...
An efficient and accurate understanding of the intent code is an indispensable skill in computer technology, especially collaborative engineering experimental reproduction. AI-assisted automated comment generator, with goal generating programmer-readable explanations, has been emerging hot topic for software project comprehension. Despite promising performances, three critical issues emerged: 1) The summary limited fine-grain details code. 2) key-word level guidance model should be included...
We experimentally demonstrate a cost-effective dual-polarization quadrature phase shift keying (DP-QPSK) coherent passive optical network (PON) system that operates at 100 Gbits/s/λ. This utilizes distributed feedback lasers (DFBs) and carrier recovery algorithm facilitated by bifunctional frequency-domain pilot tone (FPT). To reduce costs in PON implementations, low-cost DFBs are employed as the sole light sources, replacing more expensive external cavity (ECLs) both line terminal (OLT)...
This paper describes a kernel based Web Services (abbrevi-ated as service) matching mechanism for service discoveryand integration. The tries to exploitthe latent semantics by the structure of services. Using textual similarity and n-spectrum values features low-level mid-level, we build up model estimate thefunctional between services, whose parameters arelearned Ranking-SVM. experiment results showedthat several metrics retrieval services have beenimproved our approach.
Decentralized approaches for Web services discovery, such as peer-to-peer, become more and attention - getting in the scientific community. In this paper, we propose a peer-to-peer framework, which adopts an enhanced skip graph named Servicelndex overlay network service discovery. To guarantee discovery efficiency, schemed WSDL-S (Web semantics) semantic description language extracted its attributes indexing keys graph. Also multi-layer P2P was constructed to aggregate similar keep load...
Micro-blogging is experiencing fantastic success in the worldwide. However, during its rapid development, it has encountered problem of information overload, which troubled many users. In this paper, we mainly focus on task tweet recommendation to address problem. We extend session-based temporal graph (STG) approach as Topic-STG for comprehensively considers three types features Twitter: textual information, time factor, and users' behavior. The experimental results conducted a real dataset...
The microblogging is prevailing since its easy and anonymous information sharing at Internet, which also brings the issue of dispersing negative topics, or even rumors. Many researchers have focused on how to find trace emerging topics for analysis. When adopting topic detection tracking techniques hot with streamed data, it will meet obstacles like data clustering, hotness definition, discovery. This paper schemes a novel prerecognition model In this model, concepts life cycle, velocity,...
With the development of Web technology and e-business, service has been widely accepted by industry academic research. How to find integrate existing become more important. Usually requestor finds from UDDI registry center invokes it directly as described in service-oriented architecture. But it's difficult for an enterprise user dynamically invoke most appropriate among a series services with same function. This paper briefly introduces architecture discusses advantages disadvantages UDDI,...
Hot topics are usually those breaking news discussed most at online forums, especially microblogging systems, such as twitter, which helps to learn user concentration and public opinion. This paper focuses on the problem of predicting emerging hot topics. Previous prediction models focus building content profile discover topics, they may neglect social network function or overlook keyword feature post. In this paper, we address by introducing a combined model using connection information. We...
This paper presents the design of SNet system, which is a P2P overlay for Semantic Web Services discovery. differs from previous discovery systems in that it supports complex search with its locality-preserving feature based on Skip Graph. To guarantee efficient and semantic service discovery, schemes WSDL-S as description language extracts attributes indexing keys Graph so similar are aggregated to keep leverage between peer nodes. Our evaluation showed system performs considerable efficiency.
Nowadays Web Services has been one of the most prevalent technology for resource integration and share. Usually scheme standard protocols WSDL UDDI to describe, discover integrate web resources, whereas it is not realistic all companies publish their services registry, which definitely will result in point failures meet scalability problem. P2P overlay network provides a scalable alternative service providers by distributing descriptions among peers while keeping system's decentralization,...
We present the design of pService system for P2P Web services discovery supporting similarity search with its locality-preserving feature based on modified Skip Graph. In pService, most important property (e.g. service name) a is viewed as indexing key peer node. The other properties are extracted multiattributes which would be mapped into one-dimensional indices using HSFC (Hilbert Space Filling Curve), and assigned to membership vector These two features help support in aspects: nodes...