A5100383453- Music and Audio Processing
- Semantic Web and Ontologies
- Error Correcting Code Techniques
- Digital Filter Design and Implementation
- Image Retrieval and Classification Techniques
- Interconnection Networks and Systems
- Speech Recognition and Synthesis
- Speech and Audio Processing
- Recommender Systems and Techniques
- Video Analysis and Summarization
- Advanced Data Compression Techniques
- graph theory and CDMA systems
- Neural Networks and Applications
- Software-Defined Networks and 5G
- Embedded Systems Design Techniques
- Augmented Reality Applications
- Advanced Optical Network Technologies
- Advanced Database Systems and Queries
- Parallel Computing and Optimization Techniques
- Network Traffic and Congestion Control
- Data Visualization and Analytics
- Advanced Adaptive Filtering Techniques
- Algorithms and Data Compression
- Analog and Mixed-Signal Circuit Design
- Cloud Computing and Resource Management
Northeastern University
2022-2025
China Jiliang University
2024
Second Affiliated Hospital of Zhejiang University
2024
Sun Yat-sen University
2017-2024
Chongqing University of Posts and Telecommunications
2023-2024
Liaoning Cancer Hospital & Institute
2024
China Medical University
2024
Shandong Jiaotong University
2023
State Key Laboratory of Synthetical Automation for Process Industries
2022
Xinjiang University
2022
SUMMARY Virtual network (VN) embedding is a major challenge in virtualization. In this paper, we aim to increase the acceptance ratio of VNs and revenue infrastructure providers by optimizing VN costs. We first establish two models for embedding: an integer linear programming model substrate that does not support path splitting mixed when supported. Then propose unified enhanced particle swarm optimization‐based algorithm, called VNE‐UEPSO, solve these irrespective splitting. parameters...
Virtual network embedding, which means mapping virtual networks requested by users to a shared substrate maintained an Internet service provider, is key function that virtualization needs provide. Prior work on embedding has primarily focused maximizing the revenue of provider and did not consider energy cost in accommodating such requests. As more than half operating networks, while trying accommodate requests, minimizing critical for infrastructure providers. In this paper, we make first...
The rising cost of electricity has forced business organizations to find new ways cut energy spending. This paper studies how reduce consumption in virtual network embedding, which embeds networks (VNs) requested by users a shared substrate (SN) run an infrastructure provider (InP). Previous research primarily focused on finding embedding methods increase revenues accommodating more VN requests fixed SN, with little attention reducing the cost. To fill this gap we formulate model and devise...
Web 2.0 — the perceived second generation of World Wide that aims to improve collaboration, sharing information and interoperability enables increasing access digital collections museums. The expectation is more people will spend time preparing their visit before actually visiting museum look for related reflecting on what they have seen or missed after museum. It can also be expected curators want enhance visitors' experiences in personalized, intensive engaging way promised by an improved...
β-amyloid cleaving enzyme 1 (BACE1) is regarded as an important target of drug design toward the treatment Alzheimer's disease (AD). In this study, three separate molecular dynamics (MD) simulations and calculations binding free energies were carried out to comparatively determine identification mechanism BACE1 for inhibitors, 60W, 954 60X. The analyses MD trajectories indicated that presence inhibitors influences structural stability, flexibility internal BACE1. Binding calculated by using...
This article focuses on electric load forecasting, which is a challenging task in the energy industry. In this paper, novel kernel-free $$\nu $$ -support vector regression model proposed for forecasting. The produces reduced quadratic surface nonlinear regression. A feature weighting strategy adopted to estimate relevance of features history. To reduce effects outliers history, weight assigned represent relative importance each data point. Some computational experiments are conducted some...
More and more museums aim at enhancing their visitors' museum experiences in a personalized, intensive engaging way inside the museum. The CHIP1 (Cultural Heritage Information Personalization) project offers various online mobile tools to users be own curators, e.g. browsing collections, planning personalized tours, getting recommendations about interesting artworks see, quickly finding ways In this paper we present new version of guide2 offered on device physical space. We maintain dynamic...
Diabetic foot and subsequent diabetic ulcer infections are the most devastating complication of diabetes. This study was conducted to explore bacterial spectrum, sensitivity microbials, analysis empirical antibiotic regimens in our health center. The included patients with infection (DFI) seen from 2009 2014. had all information covering physical examination, laboratory tests, image examinations. We sent appropriately obtained specimens for culture prior starting therapy participants. A...
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