检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Li, Cong Shi, Min Qu, Bo Li, Xiang The Adaptive Networks and Control Lab Department of Electronic Engineering The Research Center of Smart Networks and Systems School of Information Science and Technology Fudan University Shanghai200433 China Peng Cheng Laboratory Shenzhen518000 China

Attributed network representation learning aims at learning node embeddings by integrating network structure and attribute information. It is a challenge to fully capture the microscopic structure and the attribute semantics simultaneously, where the microscopic structure includes the one-step, two-step and multi-step relations, indicating the first-order, second-order and high-order proximity of nodes, respectively. In this paper, we propose a deep attributed network representation learning via attribute enhanced neighborhood (DANRL-ANE) model to improve the robustness and effectiveness of node representations. The DANRL-ANE model adopts the idea of the autoencoder, and expands the decoder component to three branches to capture different order proximity. We linearly combine the adjacency matrix with the attribute similarity matrix as the input of our model, where the attribute similarity matrix is calculated by the cosine similarity between the attributes based on the social homophily. In this way, we preserve the second-order proximity to enhance the robustness of DANRL-ANE model on sparse networks, and deal with the topological and attribute information simultaneously. Moreover, the sigmoid cross-entropy loss function is extended to capture the neighborhood character, so that the first-order proximity is better preserved. We compare our model with the state-of-the-art models on five real-world datasets and two network analysis tasks, i.e., link prediction and node classification. The DANRL-ANE model performs well on various networks, even on sparse networks or networks with isolated nodes given the attribute information is sufficient. Copyright © 2021, The Authors. All rights reserved.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Intelligent Eco Networking (IEN) II: A Knowledge-Driven Future Internet Infrastructure for Value-Oriented Ecosystem

Intelligent Eco Networking (IEN) II: A Knowledge-Driven Futu...

引用

IEEE International Conference on Hot Information-Centric Networking (HotICN)

作者： Kai Lei Shuokang Huang Jiyue Huang Huafang Liu Jin Liu PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB) School of Electronic and Computer Engineering (SECE) Peking University Shenzhen P.R. China

ISBN: (数字)9781728157818

ISBN: (纸本)9781728157825

Intelligent Eco Networking (IEN) is intent on evolving the IP-based network architecture into a Knowledge-Driven Future Internet Infrastructure based on hierarchical heterogeneous networks composed of virtualized and configurable devices, taking the valuable contents as first-class entity, d riven by knowledge intelligence, integrating the decentralized consensus trust preservation, to establish a value-oriented social ecosystem. To counter with the complicated but inefficient mechanisms of IP, a tokenized fine-grained allocation mechanism i s proposed, taking comprehensive consideration of storage, computing and networking, bringing about a collaborative and mutually beneficial value-interconnection. Knowledge-Driven Scheme (KDS), as the guideline of IEN's establishment, illustrates the way to extract knowledge from the network, the value consensus of Blockchain, and the feedback control of Federated Learning, making economy-based distributed commerce feasible.

关键词： Knowledge engineering Quality of service Internet Protocols Ecosystems

来源：评论

学校读者我要写书评

暂无评论

Fast Phase Retrieval and IQ Impairments Compensation of Twin-SSB Signal in Direct Detection System

Fast Phase Retrieval and IQ Impairments Compensation of Twin...

引用

OptoElectronics and Communications Conference, OECC

作者： Xiuquan Cui Yanfu Yang Jianyu Wang Linsheng Fan Qi Wu Department of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China Department of Electronic Engineering State Key Lab of Advanced Communication Systems and Networks Shanghai Jiao Tong University Shanghai China

We propose a modified carrier-assisted phase retrieval (MCCA-PR) scheme based on Gerchberg-Saxton (GS) algorithm to reconstruct a twin-SSB signal fast, then compensate the transmitter IQ impairments with a widely line...

关键词：

来源：评论

学校读者我要写书评

暂无评论

3D Printed Near-Infrared High-Numerical Aperture Achromatic Metalens

引用

iScience 2025年

作者： Heming Wei Wenchen Hu Jingtian Hu Guoqiang He Fufei Pang Sridhar Krishnaswamy Jan Nedoma Carlos Marques Key Laboratory of Specialty Fiber Optics and Optical Access Networks Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication Shanghai University Shanghai 200444 China Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Shenzhen China Center for Smart Structures and Materials Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA Department of Telecommunications VSB – Technical University of Ostrava Ostrava 70800 Czech Republic CICECO – Aveiro Institute of Materials Physics Department University of Aveiro 3810-193 Aveiro Portugal Department of Physics VSB—Technical University of Ostrava Ostrava 70800 Czech Republic

Traditional optical Fresnel microlenses, have limitations such as large size, limited optical quality for imaging, and low focusing efficiency in achromatic lenses with high NA. In contrast, metalenses rely on their subwavelength structure to modulate the phase distribution, resulting in smaller volumes and superior focusing performance. In this work, we inverse designed and fabricated an achromatic metalens with high-NA and broad wavelength range through direct laser writing using the two-photon polymerization technique. With a focal length of 19 μm, a thickness of 3.6 μm, and a numerical aperture of 0.8, the metalens exhibits an average focusing efficiency of 53.6% and an average half maximum width of 1.27 μm at the working wavelength. The measured average focusing efficiency is 50.4% within the bandwidth range of 1510 nm to 1610 nm. The presented work demonstrates the great potential of 3D printing and inverse design for realizing functional meta-devices for aerospace sector.

关键词：

来源：评论

学校读者我要写书评

暂无评论

5G ENTERING INTO A NEW ERA

引用

China Communications 2017年第12期14卷 I0002-I0004页

作者： Feifei Gao Changle Li Jun Fang Kaizhi Huang Zhi Quan Chengwen Xing Jianhua Zhang Zhongshan Zhang Liqiang Zhao Yulong Zou Department of Automation Tsinqhua UniversityBeiiingChina the State Key Laboratory of Integrated Services Networks Xidian University china communications ieee communications magazine ieee signal processing letters national digital switching system engineering&technological research center the college of information engineering shenzhen university the school of information and electronics beijing institute of technology bupt itu-r imt-2020 channel model ieee comm the school of computer and communication engineering in the university of science and technology beijing(ustb) state key lab.of integrated ser vice networks xidian university the nanjing university of posts and telecommunications(nupt)

The ever increasing wireless data services, such asimaging, video, audio, multimedia, etc., have de-mands for the very high speed wireless communicationsand network, which are unfortunately a bottleneck whencombining with the wireline core network. Users＇ arenow expecting high quality of experience with low-costdevices, ubiquitous connectivity, energy efficiency, highreliability, or even ultra-low latency if a vehicle terminalis applied.

关键词： 5G ENTERING A NEW ERA

来源：评论

学校读者我要写书评

暂无评论

Online distributed job dispatching with outdated and partially-observable information

arXiv

引用

arXiv 2020年

作者： Hong, Yuncong Lv, Bojie Wang, Rui Tan, Haisheng Han, Zhenhua Zhou, Hao Lau, Francis C.M. LINKE Lab University of Science and Technology of China Hefei China Department of Electrical and Electronic Engineering Southern University of Science and Technology Shenzhen China Department of Computer Science The University of Hong Kong Hong Kong Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China

In this paper, we investigate online distributed job dispatching in an edge computing system residing in a Metropolitan Area Network (MAN). Specifically, job dispatchers are implemented on access points (APs) which collect jobs from mobile users and distribute each job to a server at the edge or the cloud. A signaling mechanism with periodic broadcast is introduced to facilitate cooperation among APs. The transmission latency is non-negligible in MAN, which leads to outdated information sharing among APs. Moreover, the fully-observed system state is discouraged as reception of all broadcast is time consuming. Therefore, we formulate the distributed optimization of job dispatching strategies among the APs as a Markov decision process with partial and outdated system state, i.e., partially observable Markov Decision Process (POMDP). The conventional solution for POMDP is impractical due to huge time complexity. We propose a novel low-complexity solution framework for distributed job dispatching, based on which the optimization of job dispatching policy can be decoupled via an alternative policy iteration algorithm, so that the distributed policy iteration of each AP can be made according to partial and outdated observation. A theoretical performance lower bound is proved for our approximate MDP solution. Furthermore, we conduct extensive simulations based on the Google Cluster trace. The evaluation results show that our policy can achieve as high as 20.67% reduction in average job response time compared with heuristic baselines, and our algorithm consistently performs well under various parameter settings. Copyright © 2020, The Authors. All rights reserved.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

Structure of campus network based on reconfigurable architecture

引用

Tongxin Xuebao/Journal on Communications 2013年第SUPPL.2期34卷 107-110页

作者： Yuan, Hu-Sheng Feng, Hua Li, Hui Zhong, Zhi-Bin Pan, Kai Network and Information Center of Shenzhen University Town Shenzhen 518055 China Peking University Shenzhen Graduate School Shenzhen 518055 China Shenzhen Key Lab. of Cloud Computing Technology and Application Shenzhen 518055 China Shenzhen Engineering Lab. of Converged Network Technology Shenzhen 518055 China Huaqiang Vocational Technical School Shenzhen 518000 China

Because of the petrifaction of the existing network, it is difficult to achieve the controllability, adaptability and expansibility in current structure. Simultaneously, in order to have better campus network services in teaching, researching and studying, a new structure based on reconfigurable architecture for campus network was designed based on service set handling capacity of various kinds of business in reconfigurable network as the central idea. After the evolution from tradition to flat structure, a more condensed structure was proposed by adopting virtualization technology on switches and routers. It has the advantages of high performance, high reliability, manageability and augmentability.

关键词： Virtualization

来源：评论

学校读者我要写书评

暂无评论

HOMMO: A Hierarchical Flow Management Framework for Multi-Objective Data Center networks

HOMMO: A Hierarchical Flow Management Framework for Multi-Ob...

引用

IEEE Global Communications Conference

作者： Kai Lei Junlin Huang Yu Li Fan Zhang Hengky Susanto Bo Bai Gong Zhang Jin Liu Shenzhen Key Lab for Information Centric Networking & Blockchain Technology (ICNLAB) School of Electronic and Computer Engineering (SECE) Peking University Shenzhen China PCL Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen China Theory Lab 2012 Labs Huawei Technologies Co. Ltd. Hong Kong

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In data center networks, flows with different objectives coexist and compete for limited resources. From the application-level perspective, it is hard to satisfy the demands of different flows without effective resource planning. To address the bandwidth allocation problem under multi-objective scenarios, we study a multi-objective network utility maximization (NUM) problem and propose our practical bandwidth allocation framework HOMMO, which consists of an upper layer algorithm (ULA) and a lower layer algorithm (LLA). This hierarchical design helps to strike a balance between accuracy and efficiency. Implemented in network switches, ULA is an online learning-based scheme that allocates bandwidth for aggregated flows with different performances objectives. Taking the outputs from ULA as capacity constraints, LLA acts as a fast scheduling method at packet-level. We extend NUMFabric by implementing the design of isolate queues and corresponding dequeue strategy in switches and make it a feasible solution of the LLA. Therefore, HOMMO achieves satisfactory isolation across flows with different objectives, which is equivalent to provide a network slicing solution. To evaluate the proposed framework, we implement it in ns-3 and verify the performance under various scenarios. The simulation results show that HOMMO not only quickly converges to a near-optimal solution of the multi-objective NUM problem but also guarantees a Pareto-optimal solution. Moreover, it outperforms the well-known transport protocol (i.e., DCTCP) with 2x increase on average bandwidth utilization and 1.96x improvement in global network utility at the aggregated flow level.

关键词： Channel allocation Bandwidth Data centers Scheduling Throughput Convex functions Machine learning

来源：评论

学校读者我要写书评

暂无评论

Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications

arXiv

引用

arXiv 2022年

作者： Wang, Shao-Di Wang, Hui-Ming Liu, Peng The School of Information and Communication Engineering The Ministry of Education Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong University Shaanxi Xi’an710049 China The Wireless Technology Lab 2012 Labs Huawei Technologies Shenzhen China

In this paper, we investigate the design of a burst jamming detection method for delay-sensitive Internet-of-Things (IoT) applications. In order to obtain a timely detection of burst jamming, we propose an online principal direction anomaly detection (OPDAD) method. We consider the one-ring scatter channel model, where the base station equipped with a large number of antennas is elevated at a high altitude. In this case, since the angular spread of the legitimate IoT transmitter or the jammer is restricted within a narrow region, there is a distinct difference of the principal direction of the signal space between the jamming attack and the normal state. Most of existing binary hypothesis test based works cannot apply to detect burst jamming, because the attackers’ target time window does not match with the legitimate transmission. Unlike existing statistical features based batching methods, the proposed OPDAD method adopts an online iterative processing mode, which can quickly detect the exact attack time block instance by analyzing the newly coming signal. In addition, our detection method does not rely on the prior knowledge of the attacker, because it only cares the abrupt change in the principal direction of the signal space. Moreover, based on the high spatial resolution and the narrow angular spread, we provide the convergence rate estimate and derive a nearly optimal finite sample error bound for the proposed OPDAD method. Numerical results show the excellent real time capability and detection performance of our proposed method. Copyright © 2022, The Authors. All rights reserved.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

arXiv

引用

arXiv 2021年

作者： Wang, Hong Xie, Qi Zhao, Qian Li, Yuexiang Liang, Yong Zheng, Yefeng Meng, Deyu Tencent Jarvis Lab Shenzhen China School of Mathematics and Statistics Ministry of Education Key Lab of Intelligent Networks and Network Security Xi'an Jiaotong University Shaanxi China Peng Cheng Laboratory Shenzhen China Macao Institute of Systems Engineering Macau University of Science and Technology Taipa China The Faculty of Information Technology Macau University of Science and Technology China

As a common weather, rain streaks adversely degrade the image quality and tend to negatively affect the performance of outdoor computer vision systems. Hence, removing rains from an image has become an important issue in the field. To handle such an ill-posed single image deraining task, in this paper, we specifically build a novel deep architecture, called rain convolutional dictionary network (RCDNet), which embeds the intrinsic priors of rain streaks and has clear interpretability. In specific, we first establish a RCD model for representing rain streaks and utilize the proximal gradient descent technique to design an iterative algorithm only containing simple operators for solving the model. By unfolding it, we then build the RCDNet in which every network module has clear physical meanings and corresponds to each operation involved in the algorithm. This good interpretability greatly facilitates an easy visualization and analysis on what happens inside the network and why it works well in inference process. Moreover, taking into account the domain gap issue in real scenarios, we further design a novel dynamic RCDNet, where the rain kernels can be dynamically inferred corresponding to input rainy images and then help shrink the space for rain layer estimation with few rain maps so as to ensure a fine generalization performance in the inconsistent scenarios of rain types between training and testing data. By end-to-end training such an interpretable network, all involved rain kernels and proximal operators can be automatically extracted, faithfully characterizing the features of both rain and clean background layers, and thus naturally leading to better deraining performance. Comprehensive experiments implemented on a series of representative synthetic and real datasets substantiate the superiority of our method, especially on its well generality to diverse testing scenarios and good interpretability for all its modules, as compared with state-of-the-art single im

关键词： Rain

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：