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2023 Advanced Fiber Laser Conference, AFL 2023

作者： Zhang, Rui Hu, Zhiwei Li, Jianjun Fan, Feng Wen, Feng Key Lab of Optical Fiber Sensing and Communications Ministry of Education Sch. of Info. and Commun. Engineering University of Electronic Science and Technology of China Chengdu611731 China Beijing Institute of Telemetry Technology Beijing100076 China

ISBN: (纸本)9781510677661

The network time protocol (NTP) has been used since the 80s to synchronize the time of various terminal devices in the network, and is one of the oldest network protocols still in use today. Thanks to its excellent design and implementation, it can show good synchronization performance and stability even in complex network environments (such as terrestrial Internet). In recent years, with the expansion of the scale of the satellite Internet, the satellite network structure has gradually changed from a simple point-To-point connection mode to a complex networking mode, and the frequently changing inter-orbital inter-satellite links have brought great complexity to the network. Therefore, it is important to perform the time synchronization in complex satellite networks, especially when the laser-based transmission technology applied. In this paper, we introduce the NTP system into the laser inter-satellite networks. To the best of our knowledge, this is the first time the two systems working together, enabling performing the data transmission in the simple, but effective way. We investigate two kinds of transmission scenarios: The time synchronization happened in the co-orbit and the crossorbit cases. To perform the investigation, we set up a 30-satellites simulation platform, where their virtual connections were followed by the rule of laser inter-satellite networks. The NTP details were discussed by the two transmission scenarios, including the implementation structure, the delay results and the factors that could impact the synchronization performance. By successful implementation in laser inter-satellite networks, the NTP suggests an alternative approach to perform the time synchronization in the simple and low-cost way, by dealing with the complex and free-Access networks across the whole earth. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Complex networks

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Segmentation of Ultrasound Thyroid Nodules Based on Encoder-Decoder Structure

Segmentation of Ultrasound Thyroid Nodules Based on Encoder-...

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2021 International Conference on Internet, Education and info.mation technology, IEIT 2021

作者： Zhou, Chenghao Geng, Ji Li, Hengyu Sch. of Info. and Software Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665425636

This paper compares four ultrasonic segmentation methods of thyroid nodules. This research uses the encoder-decoder neural network structure to learn deeper semantic info.mation in the down-sampling stage, gradually restore the position info.mation in the up-sampling stage, and finally use skip connection integration features to complete the semantic segmentation of thyroid nodules. This paper tried four encoder-decoder structures on the ultrasound database of thyroid nodules these experiments show that the structure is effective (maximum mIOU is 81.2%). © 2021 IEEE.

关键词： Ultrasonics

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Skin Lesion Segmentation Based on Mask R-CNN

Skin Lesion Segmentation Based on Mask R-CNN

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2020 International Conference on Virtual Reality and Visualization, ICVRV 2020

作者： Huang, Cheng Yu, Anyuan Wang, Yiwen He, Honglin Sch. of Info. and Software Engineering University of Electronic Science and Technology of China Chengdu China School of Software Engineering Chongqing University of Posts and Telecommunications Chengdu China

ISBN: (纸本)9780738142524

Dermatological segmentation has always been a hot topic in medical imaging. At present, many algorithms have achieved good results in the segmentation of skin diseases, such as super-pixel segmentation and U-Net network. The method we used in this paper is improved based on the instance segmentation model, Mask R-CNN. Firstly, we have trained the classification branch in Mask R-CNN in advanced. Secondly, we made some adjustments to the parameters of Mask R-CNN. These two changes ensure that our method has higher segmentation accuracy and detection accuracy than traditional Mask R-CNN. The data set used in this paper comes from ISIC (International Skin Imaging Collaboration). Experiment results demonstrate that the segmentation effect of our method on skin lesion images is better than the traditional Mask R-CNN. © 2020 IEEE.

关键词： Deep learning

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Spectrum Occupancy State Predictor Based on Recurrent Neural Network 2

Spectrum Occupancy State Predictor Based on Recurrent Neural...

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2nd International Conference on Computer info.mation science and Application technology, CISAT 2019

作者： Fan, Rong Guo, Hesong Di, Lujie Ling, Xing Aviation Engineering Institute Civil Aviation Flight University of China Guanghan Sichuan Province618307 China Sch. of Info. and Communication Engineering University of Electronic Science and Technology of China Province Chengdu China

To cope with the scarcity of spectrum resources and to improve the efficiency of spectrum utilization, spectrum occupancy prediction (or named channel state prediction) technology has been addressed into cognitive radio (CR) in recent years. In the paper, we first address the issue how to model the primary user behaviour in CR. And based on the presented behaviour model, a recurrent neural network (RNN) is chosen to design a spectrum occupancy state predictor. By exploiting the learning capacity of recurrent neural network, it can predict the spectrum occupancy state of primary user behaviour. Meanwhile, in order to reveal the proposed predictor's advantages, the spectrum occupancy state predictor based on RNN and another existed two spectrum occupancy state predictors are also adapted in the simulation section of the paper. Numerical simulation results illustrate the advantages of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Recurrent neural networks

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Double attention convolutional neural network for driver action recognition 3

Double attention convolutional neural network for driver act...

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3rd IEEE International Conference on electronic info.mation technology and Computer engineering, EITCE 2019

作者： Ai, Ying Xia, Jinxiang She, Kun Long, Qiuling University Electronic Science and Technology of China Res. Ctr. for Intelligent Software and Perceptive Comp. Sch. of Information and Software Engineering Chengdu China

ISBN: (纸本)9781728135847

Driver action recognition is an important technology of Advanced Driver Assistant System (ADAS). Recently, distracted driving recognition with deep learning, especially Convolutional Neural Network (CNN) is very popular, however, the feature extracting in traditional CNN is very sensitive to the true circumstance of driving. It will take a lot of time to train the CNN model with huge amounts of data to gain better robustness. To solve this problem, we introduce the attention mechanism of human visual perception system, which can identify outstanding image regions and magnify their effects while suppressing irrelevant and potentially confusing info.mation of other regions. In this paper, we propose a novel Double Attention CNN (DACNN) to pay attention to salient regions to recognize distracted driving, which combines the local features with the global features to build an attention model, and we use two attention sub-modules to focus on the head, arms and hands of driver, respectively. Our experiment result shows that the recognition accuracy and robustness of our proposed method are improved comparing with CNN without attention sub-module and with one attention sub-module. © 2019 IEEE.

关键词： Automobile drivers

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Latency-Minimized Design of secure transmissions in UAV-Aided Communications

Latency-Minimized Design of secure transmissions in UAV-Aide...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xiongwei Wu Qiang Li Yawei Lu H. Vincent Poor Victor C. M. Leung P. C. Ching Department of Electronic Engineering The Chinese University of Hong Kong Hong Kong SAR China School of Info. & Comm. Eng. University of Electronic Science and Technology of China Chengdu China Department of Electrical Engineering Princeton University Princeton USA College of Computer Science & Software Engineering Shenzhen University Shenzhen China

ISBN: (数字)9781509066315

ISBN: (纸本)9781509066322

Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations to provide communication service for remote mobile users due to their high mobility and flexible deployment. However, the line-of-sight (LoS) wireless links are vulnerable to be intercepted by the eavesdropper (Eve), which presents a major challenge for UAV-aided communications. In this paper, we propose a latency-minimized transmission sch.me for satisfying legitimate users' (LUs') content requests securely against Eve. By leveraging physical-layer security (PLS) techniques, we formulate a transmission latency minimization problem by jointly optimizing the UAV trajectory and user association. The resulting problem is a mixed-integer nonlinear program (MINLP), which is known to be NP hard. Furthermore, the dimension of optimization variables is indeterminate, which again makes our problem very challenging. To efficiently address this, we utilize bisection to search for the minimum transmission delay and introduce a variational penalty method to address the associated subproblem via an inexact block coordinate descent approach. Moreover, we present a characterization for the optimal solution. Simulation results are provided to demonstrate the superior performance of the proposed design.

关键词：

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On RF localisation deception capability of FDA signal under interferometry reconnaissance

On RF localisation deception capability of FDA signal under ...

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IET International Radar Conference 2018, IRC 2018

作者： Zhang, Xihui Yan, Yisheng Wang, Wen-Qin Zhang, Shunsheng Southwest China Institute of Electronic Technology Chengdu China School of Software Engineering University of Electronic Science and Technology of China Chengdu China School of Info. Comm. Engin. University of Electronic Science and Technology of China Chengdu China Research Inst. Elect. Sci. Tech. University of Electronic Science and Technology of China Chengdu China

Phased-array antennas are known for their capability to electronically steer a beam with high effectiveness, but beam steering is fixed in an angle for all range cells. Different from that, frequency diverse array (FDA) offers a range-angle-dependent beam-pattern. The use of a small frequency increment across its array elements to generate an array factor that is a function of the angle, time, and range, allowing the FDA antenna to form focusing beampattern to the desired range and angle region. Aiming to resolve the problem that traditional phased-array radars can be easy detected and localised by undesired reconnaissance receiver, the use of FDA instead of phased-array provides potential radio frequency (RF) stealth capability. Here, the authors analyse the RF localisation deception performance under interferometry reconnaissance for undesired receivers, which RF stealth capability is validated by the numerical results. © 2019 Institution of engineering and technology. All rights reserved.

关键词： Interferometry

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Latency-minimized design of secure transmissions in UAV-aided communications

arXiv

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arXiv 2020年

作者： Wu, Xiongwei Li, Qiang Lu, Yawei Poor, H. Vincent Leung, Victor C.M. Ching, P.C. Department of Electronic Engineering Chinese University of Hong Kong Hong Kong Department of Electrical Engineering Princeton University Princeton United States School of Info. & Comm. Eng. University of Electronic Science and Technology of China Chengdu China Department of Electronic Engineering Tsinghua University Beijing China College of Computer Science & Software Engineering Shenzhen University Shenzhen China Department of Electrical & Computer Engineering University of British Columbia Canada

Unmanned aerial vehicles (UAVs) can be utilized as aerial base stations to provide communication service for remote mobile users due to their high mobility and flexible deployment. However, the line-of-sight (LoS) wireless links are vulnerable to be intercepted by the eavesdropper (Eve), which presents a major challenge for UAV-aided communications. In this paper, we propose a latency-minimized transmission sch.me for satisfying legitimate users’ (LUs’) content requests securely against Eve. By leveraging physical-layer security (PLS) techniques, we formulate a transmission latency minimization problem by jointly optimizing the UAV trajectory and user association. The resulting problem is a mixed-integer nonlinear program (MINLP), which is known to be NP hard. Furthermore, the dimension of optimization variables is indeterminate, which again makes our problem very challenging. To efficiently address this, we utilize bisection to search for the minimum transmission delay and introduce a variational penalty method to address the associated subproblem via an inexact block coordinate descent approach. Moreover, we present a characterization for the optimal solution. Simulation results are provided to demonstrate the superior performance of the proposed design. Copyright © 2020, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Joint long-term cache allocation and short-term content delivery in green cloud small cell networks

arXiv

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arXiv 2019年

作者： Wu, Xiongwei Li, Qiang Li, Xiuhua Leung, Victor C.M. Ching, P.C. Dept. of Electronic Engineering Chinese University of Hong Kong Shatin Hong Kong School of Info. & Comm. Eng. University of Electronic Science and Technology of China Chengdu China School of Big Data & Software Engineering Chongqing University Chongqing China College of Computer Science & Software Engineering Shenzhen University Shenzhen China Dept. of Electrical & Computer Engineering University of British Columbia Vancouver Canada

Recent years have witnessed an exponential growth of mobile data traffic, which may lead to a serious traffic burn on the wireless networks and considerable power consumption. Network densification and edge caching are effective approaches to addressing these challenges. In this study, we investigate joint long-term cache allocation and short-term content delivery in cloud small cell networks (C-SCNs), where multiple smallcell BSs (SBSs) are connected to the central processor via fronthaul and can store popular contents so as to reduce the duplicated transmissions in networks. Accordingly, a long-term power minimization problem is formulated by jointly optimizing multicast beamforming, BS clustering, and cache allocation under quality of service (QoS) and storage constraints. The resultant mixed timescale design problem is an anticausal problem because the optimal cache allocation depends on the future file requests. To handle it, a two-stage optimization sch.me is proposed by utilizing historical knowledge of users' requests and channel state info.mation. Specifically, the online content delivery design is tackled with a penalty-based approach, and the periodic cache updating is optimized with a distributed alternating method. Simulation results indicate that the proposed sch.me significantly outperforms conventional sch.mes and performs extremely close to a genie-aided lower bound in the low caching region. Copyright © 2019, The Authors. All rights reserved.

关键词： Channel state info.mation

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HcDD: The Hybrid Combination of Disk Drives in Active Storage Systems

HcDD: The Hybrid Combination of Disk Drives in Active Storag...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Shu Yin Zhiyang Ding Xiaojun Ruan Xiaomin Zhu Zhuo Tang Kenili Li Xiao Qin College of Computer Science and Electronic Engineering Hunan University Changsha Hunan China State Development and Investment Corporation Beijing China Department of Computer Science West Chester University of Pennsylvania West Chester PA College of Info. Systems and Management National University of Defense Technology Changsha Hunan China Department of Computer Science and Software Engineering Auburn University Auburn AL

Since large-scale and data-intensive applications have been widely deployed, there is a growing demand for high-performance storage systems to support data-intensive applications. Compared with traditional storage systems, next-generation systems will embrace dedicated processor to reduce computational load of host machines and will have hybrid combinations of different storage devices. The advent of flash-memory-based solid state disk has become a critical role in revolutionizing the storage world. However, instead of simply replacing the traditional magnetic hard disk with the solid state disk, it is believed that finding a complementary approach to corporate both of them is more challenging and attractive. This paper explores an idea of active storage, an emerging new storage configuration, in terms of the architecture and design, the parallel processing capability, the cooperation of other machines in cluster computing environment, and a disk configuration, the hybrid combination of different types of disk drives. Experimental results indicate that the proposed HcDD achieves better I/O performance and longer storage system lifespan.

关键词： Disk drives Parallel processing Ash Buffer storage Engines Reliability electronic mail

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