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5th IEEE International Conference on Electronics Technology, ICET 2022

作者： Guo, Rui Zheng, Ai Huang, Qi Sun, Huabo Chen, Lei Beijing Microelectronics Technology Institute Fpga Department Beijing China Smart Network Innovation Center China United Network Communications Limited Beijing China University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control Chengdu China

ISBN: (纸本)9781665485081

With the extensive utilization of Intelligence Electronic Devices (IED), the modern smart substation is regard of a typical Internet of Things (IoT) system. The process-layer network in smart substations, which carries the measurements and control signals, needs to operate reliably in the face of unforeseen failures and external malicious attacks. In this paper: i) a mathematical framework for the process-layer network, attacks, and signals is modeled;ii) fundamental network performance limitations from system-theoretic and graph-theoretic perspectives are characterized;and iii) A DLL-based Router Scheme (DRS) is designed to ensure the network performance for the effective operation of IoT. Finally, we validate our design through a series of cases, and the results show that the designed DRS is effective to smooth the network performance. © 2022 IEEE.

关键词： Internet of things

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A fast algorithm of the optimal smoothing scheme for transmitting stored video

A fast algorithm of the optimal smoothing scheme for transmi...

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IITA International Conference on control, Automation and systems Engineering

作者： Zilei Wang Hongsheng Xi Guo Wei Key Lab of network communication system and control Chinese Academy of Sciences University of science and technology of China (USTC) Dept. of electronic engineering and information science USTC

ISBN: (纸本)9781424445530

Minimum changes bandwidth allocation (MCBA) is an optimal video transmission scheme resulting in the minimum number of rate changes with the minimum peak rate, which can reduce renegotiation frequency in statistical multiplexing service. The existing MCBA algorithm with searching frontiers, however, has a high computational complexity, which depressed the applicability of MCBA. In this paper, we design a fast algorithm of MCBA that examines for the bounded point based on the convex envelopes of the overflow and underflow curve. As a result, our algorithm can work out an MCBA scheme in a shorter time because we can find the bounded point with a linear complexity, and calculate each transmission rate within several iterations. The simulation using real video traces confirmed the philosophy and efficiency of our algorithm.

关键词： Smoothing methods Bandwidth Streaming media Optimal control communication system control control systems Channel allocation Computational complexity Storage automation systems engineering and theory

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R-CHORD: A DISTRIBUTED SIMILARITY RETRIEVAL system WITH RPCID

R-CHORD: A DISTRIBUTED SIMILARITY RETRIEVAL SYSTEM WITH RPCI...

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2009 IEEE International Conference on network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

作者： Wenke Yin Ming Zhu Lan Jiang Joint Laboratory of Network Communication System & Control Key Lab of Anhui Hefei 230027 China Department of Automation University of Science and Technology of China Hefei 230027 China

In order to achieve the access of massive highdimensional data on P2P network efficiently, we present a distributed similarity retrieval system named R-Chord using modified iDistance based on Relative Position Code (RPCID). RPCID calculates the lower bound distance between the query point and the data point using Relative Position Code (RPC). RPC is a data object encoding method based on spatial location information. A RPC area can be discarded when the lower bound distance is greater than the pruning distance. Experimental results show that RPCID can achieve better time performance and resource consumption than iDistance.

关键词： Range search K-Nearest-Neighbor search Relative Position Code

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Disentangled makeup transfer with generative adversarial network

arXiv

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arXiv 2019年

作者： Zhang, Honglun Tian, Jidong Chen, Wenqing He, Hao Jin, Yaohui MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University State Key Lab of Advanced Optical Communication System and Network

Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face. Existing literature leverage the adversarial loss so that the generated faces are of high quality and realistic as real ones, but are only able to produce fixed outputs. Inspired by recent advances in disentangled representation, in this paper we propose DMT (Disentangled Makeup Transfer), a unified generative adversarial network to achieve different scenarios of makeup transfer. Our model contains an identity encoder as well as a makeup encoder to disentangle the personal identity and the makeup style for arbitrary face images. Based on the outputs of the two encoders, a decoder is employed to reconstruct the original faces. We also apply a discriminator to distinguish real faces from fake ones. As a result, our model can not only transfer the makeup styles from one or more reference face images to a non-makeup face with controllable strength, but also produce various outputs with styles sampled from a prior distribution. Extensive experiments demonstrate that our model is superior to existing literature by generating high-quality results for different scenarios of makeup transfer. Copyright © 2019, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Secure routing protocol based on probability in sensor networks

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Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2011年第6期38卷 1-7页

作者： Tang, Di Yang, Xiaoniu Li, Jiandong State Key Lab. of Integrated Service Networks Xidian Univ. Xi'an 710071 China National Lab. of Information Control Tech. for Communication System Jiaxing 314033 China

In wireless sensor networks, the traditional intrusion detection can not detect the compromised nodes immediately. In this paper, we propose a secure routing protocol (Secure Relay Grid Routing Protocol) based on probability prediction to solve this problem. In the protocol, the network is divided into different small grids. Utilizing the geographic information and intrusion detection information, the proposed protocol is designed with a routing metric which is based on a mathematical prediction model. The routing metric could guarantee that the message detours those compromised grids that have not been detected by the intrusion detection. Theoretical analysis and OPNET simulation results show that the proposed protocol can provide a high delivery ratio and decrease the number of the compromised packets.

关键词： Intrusion detection

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Analyzing and Modeling Spatio-Temporal Dependence of Cellular Traffic at City Scale

Analyzing and Modeling Spatio-Temporal Dependence of Cellula...

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IEEE International Conference on communications

作者： Xiaming Chen Yaohui Jin Siwei Qiang Weisheng Hu Kaida Jiang State Key Lab of Advanced Optical Communication System and Network Shanghai Jiao Tong University Network and Information Center Shanghai Jiao Tong University

ISBN: (纸本)9781467364300

Traffic characteristics over space and time constitute an important aspect of cellular networks in consideration of resource provision, traffic engineering and system optimization. Despite recent progress in revealing temporal dynamics and spatial inhomogeneity of cellular traffic, limited knowledge about traffic dependence is gained. One of challenges comes from the absence of sustained observations at a network-wide scale. In this paper, we make an analysis on the week-long traffic generated by a large population of users in a city of China, and model traffic dependence along both space and time dimensions. The evaluation results suggest connections between spatio-temporal dependence of cellular traffic and the organization of human lives. Region differences are observed to impact traffic dependence to a great extent. Additionally, interactive knowledge between space and time enhances traffic prediction with a decrease in root-mean-square error of 2.8%～25.2%. We believe that these achievements will benefit multiple research and development areas such as network deploying and simulation researches.

关键词： Spatio-temporal dependence Traffic modeling Mobile measurement Correlation analysis Tide effects

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Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models

arXiv

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arXiv 2024年

作者： Li, Yitian Tian, Jidong He, Hao Jin, Yaohui MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China State Key Lab of Advanced Optical Communication System and Network China

Combining different forms of prompts with pre-trained large language models has yielded remarkable results on reasoning tasks (e.g. Chain-of-Thought prompting). However, along with testing on more complex reasoning, these methods also expose problems such as invalid reasoning and fictional reasoning paths. In this paper, we develop Hypothesis Testing Prompting, which adds conclusion assumptions, backward reasoning, and fact verification during intermediate reasoning steps. Hypothesis Testing prompting involves multiple assumptions and reverses validation of conclusions leading to its unique correct answer. Experiments on two challenging deductive reasoning datasets ProofWriter and RuleTaker show that hypothesis testing prompting not only significantly improves the effect, but also generates a more reasonable and standardized reasoning process. © 2024, CC BY-NC-ND.

关键词： Computational linguistics

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Notice of Retraction: An improved tabu optimization approach for workflow scheduling

Notice of Retraction: An improved tabu optimization approach...

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International Conference on Computer Science and Information Technology (CSIT)

作者： Zhan Xu Gang Wu JinLin Wang Lei Liu National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy and Sciences Beijing China Key Laboratory of Network Communication System and Control USTC Hefei China

This article has been retracted by the publisher.

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A Digitally assisted nonlinearity suppression architecture using over-the-air beam cancelation

A Digitally assisted nonlinearity suppression architecture u...

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作者： Mu, Qin Li, Nanxi Chen, Cong Wei, Xiaozheng Wen, Rong Wu, Muqing Li, Xiang Liu, Ying School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China National Key Lab of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu China School of Network and Communication Engineering Chengdu Technological University Chengdu China Laboratory of Electromagnetic Space Cognition and Intelligent Control Beijing China

Using a large number of power amplifiers brings serious nonlinear distortion to 5G communication systems, which becomes a challenging problem for conventional digital predistortion (DPD) to linearize signals. To address this challenge, we propose a digitally assisted nonlinearity suppression architecture for applications in multiple antenna arrays. In this architecture, we use an auxiliary array to generate a nonlinear cancelation signal to cancel with the main beam at the receiving end. We explore a two-step method to model the nonlinear signal and combine neural network to complete the modeling. In addition, we introduce a novel method for estimating and tracking the channel to update the model coefficients. To verify the proposed methods, we design a scene and compare the performance of our architecture with that of conventional DPD. Our experiments demonstrate that our proposed methods can significantly enhance the adjacent channel power leakage ratio performance by 12 dB while also optimizing in-band distortion. Moreover, our architecture outperforms conventional DPD approaches even with enhanced distortion. © 2023 John Wiley & Sons Ltd.

关键词： Power amplifiers

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Show, attend and translate: Unpaired multi-domain image-to-image translation with visual attention

arXiv

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arXiv 2018年

作者： Zhang, Honglun Chen, Wenqing Tian, Jidong Wang, Yongkun Jin, Yaohui State Key Lab of Advanced Optical Communication System and Network MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Network and Information Center Shanghai Jiao Tong University

Recently unpaired multi-domain image-to-image translation has attracted great interests and obtained remarkable progress, where a label vector is utilized to indicate multi-domain information. In this paper, we propose SAT (Show, Attend and Translate), an unified and explainable generative adversarial network equipped with visual attention that can perform unpaired image-toimage translation for multiple domains. By introducing an action vector, we treat the original translation tasks as problems of arithmetic addition and subtraction. Visual attention is applied to guarantee that only the regions relevant to the target domains are translated. Extensive experiments on a facial attribute dataset demonstrate the superiority of our approach and we utilize the residual images to better explain what SAT attends when translating images. Copyright © 2018, The Authors. All rights reserved.

关键词： Generative adversarial networks

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