A5101801122- Cloud Computing and Resource Management
- Advanced Fiber Laser Technologies
- Photonic Crystal and Fiber Optics
- IoT and Edge/Fog Computing
- Advanced Database Systems and Queries
- Software-Defined Networks and 5G
- Synthesis and biological activity
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
- Mobile Crowdsensing and Crowdsourcing
- Service-Oriented Architecture and Web Services
- Semantic Web and Ontologies
- Optical Coherence Tomography Applications
- Crystal structures of chemical compounds
- Photoacoustic and Ultrasonic Imaging
- Mobile Agent-Based Network Management
- Optical Network Technologies
- Laser-Matter Interactions and Applications
- Advanced Graph Neural Networks
- Synthesis of heterocyclic compounds
- Image Retrieval and Classification Techniques
- Advanced Optical Network Technologies
- Recommender Systems and Techniques
- RFID technology advancements
- Advanced Mathematical Physics Problems
Qilu University of Technology
2024-2025
Harbin Institute of Technology
2010-2024
Yanshan University
2024
Beijing University of Technology
2022
University of Delaware
2016-2020
Tianjin University
2017-2019
University of Bristol
2018-2019
Abstract C 5 H 4 BrNCuI, orthorhombic, Pna 2 1 (no. 33), a = 11.3879(4) Å, b 16.3292(5) c 4.2274(1) V 786.11(4) Å 3 , Z 4, R gt ( F ) 0.0304, wR ref 0.0579, T 273(2) K.
Abstract C 9 H 6 N 2 O, monoclinic, P 1 (no. 4), a = 5.3241(3) Å, b 7.1833(5) c 10.3407(7) β 99.811(6)°, V 389.69(4) Å 3 , Z 2, R gt ( F ) 0.0763, ref 0.1836, T 293(2) K.
The three-dimensional (3D) mechanical property characterization of biological tissues is essential for physiological and pathological studies. A digital volume correlation (DVC) virtual fields method (VFM) based 3D optical coherence elastography (OCE) developed to quantitatively measure the full-field displacements, strains elastic parameters layered biomaterials assuming isotropy homogeneity each layer. integrated noise-insensitive DVC can obtain strain tensor with an accuracy 10%....
Abstract The three‐dimensional (3D) mechanical properties characterization of tissue is essential for physiological and pathological studies, as biological mostly heterogeneous anisotropic. A digital volume correlation (DVC)‐based 3D optical coherence elastography (OCE) method developed to measure the displacement strain tensors. DVC algorithm includes a zero‐mean normalized cross‐correlation criterion‐based coarse search regime, an inverse compositional Gauss‐Newton fine local ternary...
Negative curvature hollow-core fibers (NC-HCFs) are useful as gas sensors. We numerically analyze the single-mode performance of NC-HCFs. Both single-ring NC-HCFs and nested antiresonant (NANFs) investigated. When size cladding tubes is properly designed, higher-order modes (HOMs) in fiber core can be coupled with effectively form high-loss supermodes. For structure, we propose a novel NC-HCF hybrid to enable suppression first two HOMs simultaneously. find that cascaded coupling necessary...
Fiber-optic multioctave supercontinuum generation is a unique resource for ultrafast optical science, enabling ultrabroadband frequency-comb technologies and paving the way photonics of subcycle field wave forms. Extension these methods to midinfrared spectral range encounters numerous challenges, calling radically new approaches in fiber optics short-pulse technologies, as well closing gaps our understanding nonlinearities range. Here, we confront challenges by showing that supercontinua...
We introduce the real-time multi-technology transport layer monitoring to facilitate coordinated virtualisation of optical and Ethernet networks supported by virtualise-able transceivers (V-BVT). A network resource configuration scheme is proposed include hardware in both Optical layers. The depicts data control interactions among multiple layers under software defined (SDN) background, as well application that analyses monitored obtained from database. also present a re-configuration...
Abstract C 14 H ClN 3 , monoclinic, P 2 1 / n (no. 14), a = 16.8486(5) Å, b 8.1171(2) c 19.9901(7) β 113.906(4)°, V 1499.35(15) Å Z 8, R gt ( F ) 0.0466, wR ref 0.1206, T 293(2) K.
Model transformations are frequently applied in business process modeling to bridge between languages on a different level of abstraction and formality This paper proposes model transformation from Data Flow Diagrams (DFD) which have been used widely structure requirement analysis phase UML Activity (UML-AD) various phases Object Oriented Development Method. First, we analyze the elements DFD UML-AD that can be transformed DFD. Based corresponding relationships UML-AD, rules proposed....
To support ultra-low latency 5G services flexibly and use limited resources in Multi-access Edge Computing (MEC) servers efficiently, the study of latency-aware optimal hierarchical resource allocation for Service Function Chains becomes essential. In this regard, we address problem, first time, by designing a Mixed Integer Linear Programming (MILP) model based on network interconnecting multiple MEC nodes. The objective is to minimize total from five sources: processing, queueing,...
Abstract Relational database is one of the main data sources in construction vertical domain knowledge graph. How to establish mapping relationship between concepts relational and corresponding graph key improve efficiency To solve this problem, paper proposes a model driven approach automatically constructing from based on Model Driven Architecture (MDA). First all, framework proposed describe using standard XML Schema. Then, proposed, which extracts models XML, defines conversion...
In the service recommendation, data of user ratings are usually very sparse. case sparsity, item similarity which is based on in traditional item-based collaborative filtering algorithm ignores situation that users different regarding various properties. That results low accuracy when predicting. Based this point, paper proposed a preferences properties to solve sparsity problem recommendation. This method firstly builds property preference model for each information theory. Secondly,...
Large scale and complexity in structure are two major trends current cloud environments. Bringing computing to its full potential requires a paradigm shift toward resiliency. A challenge designing resilient clouds is avoid single point of failures management systems. The state-of-the-art systems mostly designed by relying on centralized managing with complicated master nodes, which prone failures. In this paper, we propose novel hybrid system ensure offering consistent services users,...
Software as a service (SaaS) is attracting increasing attention and leading business to migrate the existing traditional web application onto cloud. With transition from software SaaS, most important thing in technical architecture characterized by single-tenant model multi-tenant model, essentially faced with challenge between tenant-unrelated of component global access data. This paper analyzes migration method for essential problems that with. In order solve problems, we introduce memory...
In an Infrastructure as a Service (IaaS) environment, key requirement is the rational placement of virtual machines that consumers apply for. order to reduce energy consumption servers and switches in data center, operating cost this paper proposes machine scheme based on optimization. Aiming at shortcomings genetic algorithm intelligent which easy fall into local optimum, immune combined generate optimized generated. paper, center structure constructed, model simulation experiment carried...
At present, in the “last mile” urban crowdsourcing distribution process, there are shortcomings such as unreasonable task assignment and unclear path planning, which reduce efficiency waste a lot of manpower time. Aiming at these problems, this paper proposes scheduling scheme mathematically models it. The optimization goal is to minimize total length when all tasks assigned. A variable neighborhood search algorithm (VNS) designed, four operations constructed, selection probability set for...
We report dispersive waves generation in an argon-filled anti-resonant nodeless fiber pumped by ultrashort pulses centered at different wavelengths. The conversion efficiency can be as high 16% with a bandwidth below 10 nm.
An electric power data acquisition system based on multi-thread mechanism is proposed in this paper to solve the problems of large-scale such as low rate, server overload and poor reliability IP address nodes. Through designing a scheduling strategy, can be acquired from multiple nodes concurrently. The connection between node assured through monitoring thread. experiment 100 designed. rate 1832 per minute update cycle 30 seconds approximately. results show that efficient achieved network...
Large-scale component placement problem is a key demand of cloud computing. For optimal SaaS problem, this paper proposes cost-driven multi-objective optimization hybrid genetic simulated annealing algorithm (GASA) in order to reduce operating costs components. GASA divided into two stages. In the first stage, used optimize hardware cost. second adjust position components virtual machine, and communication overhead further optimized. makes full use global search advantage local algorithm....
Abstract C 6 H 5 N 3 O, monoclinic, P 2 1 / n (no. 14), a = 5.2140(2) Å, b 6.8527(2) c 16.3538(5) β 97.335(3)°, V 579.54(3) Å , Z 4, R gt ( F ) 0.0336, wR ref 0.0881, T 293(2) K.