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Covert Communications in Active-IOS Aided Uplink NOMA systems With Full-Duplex Receiver

IEEE Transactions on Vehicular Technology 2025年

作者： Kang, Xueyu Qi, Nan Lv, Lu Boulogeorgos, Alexandros-Apostolos A. Tsiftsis, Theodoros A. Liu, Hongwu Shandong Jiaotong University School of Information Science and Electrical Engineering Jinan250357 China Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing210016 China Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Xidian University School of Telecommunications Engineering Xi'an710071 China University of Western Macedonia Department of Electrical and Computer Engineering Kozani50100 Greece University of Thessaly Department of Informatics and Telecommunications Lamia35100 Greece University of Nottingham Ningbo China Department of Electrical and Electronic Engineering Ningbo315100 China

In this paper, an active intelligent omni-surface (A-IOS) is deployed to aid uplink transmissions in a non-orthogonal multiple access (NOMA) system. In order to shelter the covert signal embedded in the superposition transmissions, a multi-antenna full-duplex (FD) receiver is utilized at the base-station to recover signal in addition to jamming the warden. With the aim of maximizing the covert rate, the FD transmit and receive beamforming, A-IOS refraction and reflection beamforming, NOMA transmit power, and FD jamming power are jointly optimized. To tackle the non-convex covert rate maximization problem subject to the highly coupled system parameters, an alternating optimization algorithm is designed to iteratively solve the decoupled sub-problems of optimizing the system parameters. The optimal solutions for the sub-problems of the NOMA transmit power and FD jamming power optimizations are derived in closed-form. To tackle the rank-one constrained non-convex fractional programming of the A-IOS beamforming and FD beamforming, a penalized Dinkelbach transformation approach is proposed to resort to the optimal solutions via semidefinite programming. Numerical results clarify that the deployment of the A-IOS significantly improves the covert rate compared with the passive-IOS aided uplink NOMA system. It is also found that the proposed scheme provides better covert communication performance with the optimized NOMA transmit power and FD jamming power compared with the benchmark schemes. © 1967-2012 IEEE.

关键词： Jamming

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Helix Scan:A Scan Design for Diagnosis

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Tsinghua Science and Technology 2007年第S1期12卷 83-88页

作者：王飞胡瑜李晓维 Graduate School of Chinese Academy of Sciences Key Laboratory of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Scan design is a widely used design-for-testability technique to improve test quality and efficiency. For the scan-designed circuit, test and diagnosis of the scan chain and the circuit is an important process for silicon debug and yield learning. However, conventional scan designs and diagnosis methods abort the subsequent diagnosis process after diagnosing the scan chain if the scan chain is faulty. In this work, we propose a design-for-diagnosis scan strategy called helix scan and a diagnosis algorithm to address this issue. Unlike previous proposed methods, helix scan has the capability to carry on the diagnosis process without losing information when the scan chain is faulty. What is more, it simplifies scan chain diagnosis and achieves high diagnostic resolution as well as accuracy. Experimental results demonstrate the effectiveness of our design.

关键词： test diagnosis scan chain diagnosis design for diagnosis (DFD)

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Effectiveness Evaluation for Clinical Depression Detection Using Deep Learning Based Synthetic House-Tree-Person Test

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IEEE Journal of Biomedical and Health Informatics 2025年 PP卷 PP页

作者： Chen, Zhuolong Yin, Xiaoqing Yang, Fan Li, Xiaofan Zhao, Zixuan Li, Xueying Liu, Jianghu Zhao, Yubin Xu, Cheng-Zhong Zheng, Fangfang Lin, Yong Sun Yat-Sen University School of Microelectronics Science and Technology 0000 China The Fifth Affiliated Hospital of Sun Yat-Sen University Department of Psychiatry 0000 China The Fifth Affiliated Hospital of Sun Yat-Sen University Pediatrics Department 0000 China Jinan University School of Intelligent System Science and Engineering 0000 China University of Macau State Key Laboratory of IoTSC Department of Computer and Information Science Macau0000 China

Depression is one of the most common mood disorders and the number of patients increases significantly in recent years. Due to the lack of biomarkers, conversation between patients and psychiatrists is still the main clinical diagnostic method which is easily influenced by subjectivity of both patients and psychiatrists. Synthetic House-tree-person test (S-HTP), a convenient and efficient mental assessment tool, minimizes subjective influences from patients, while its effectiveness is limited by the professional ability of analyst. Here we introduce a deep learning model DeHTP, a flexible and convenient depression detection method based on S-HTP without interaction between people. Experimental results demonstrate that DeHTP achieves 0.963 AUC and 0.9 accuracy, and outperforms the conventional manual analysis of S-HTP, which is conducted on the guideline of 50 conclusions from previous study related to depression. In addition, it reveals 22 depression-correlated drawing features aligned with conclusions above from the perspective of our proposed model. Leveraging the advantages of deep learning and S-HTP, this approach has the potential for widespread promotion and adoption as the available tool for daily self-mental monitoring, as well as the promising auxiliary diagnostic method in clinical. © 2013 IEEE.

关键词： Contrastive Learning

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EEG-based neurophysiological indicators in pronoun resolution using feature analysis

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Journal of Neuroscience Methods 2025年 419卷 110462页

作者： Qiu, Yingyi Wu, Wenlong Shi, Yinuo Wei, Hongjuan Wang, Hanqing Tian, Ziao Zhao, Mengyuan College of Foreign Languages University of Shanghai for Science and Technology Shanghai 200093 China School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai 200093 China Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai 200093 China State Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai 200050 China

Background: Pronoun resolution is a crucial aspect of language comprehension, yet its underlying neural mechanisms remain poorly understood. While previous studies have explored individual linguistic factors, a systematic analysis of Electroencephalography (EEG)-based neurophysiological indicators across different resolution cues (gender, verb bias, and discourse focus) remains unexplored, limiting our understanding of neural-cognitive processes. New method: We developed an approach combining ReliefF feature selection and Linear Discriminant Analysis (LDA) to analyze EEG data from twenty participants during pronoun resolution tasks. The method examined neural indicators focusing on power spectral density (PSD) and time-domain features, including Zero-Crossing Rate and Peak-to-Peak amplitude. Results: We identified crucial neural indicators across 14 channels and 4 frequency bands, highlighting PSD features in specific channels (AF3, AF4, FC6, F4, T7, T8, and O2) across theta, beta, and gamma bands. Gender-cue processing exhibited enhanced neural responses in prefrontal and temporal regions with shorter reaction times (748.77 ms) compared to verb bias (903.20 ms) and discourse focus (948.92 ms). Comparison with existing methods: Unlike previous studies examining individual linguistic factors, our approach simultaneously analyzed multiple resolution cues. The method achieved significant above-chance classification accuracy (49.08 % vs. 33.33 %) across three linguistic factors. This multi-factor analysis provides a more nuanced understanding of pronoun resolution processes than traditional single-factor studies. Conclusions: Our findings suggest a more efficient, feature-driven processing mechanism for gender-cue resolution, contrasting with more complex, reasoning-dependent processing of verb semantics and discourse cues. These insights have implications for developing computational models of language processing and potential clinical applications for language disorde

关键词： EEG Feature selection LDA Neurophysiological classification Pronoun resolution

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Two-decadal shifts in phytoplankton functional taxa (2002–2022) in response to extreme marine heatwaves

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Optics Express 2025年第10期33卷 21961-21978页

作者： Ronglong Chen Deyong Sun Shengqiang Wang Yongjun Jia Muhammad Bilal Shuyan Lang Zhenghao Li State Key Laboratory of Climate System Prediction and Risk Management Nanjing University of Information Science and Technology Nanjing 210044 China School of Marine Sciences Nanjing University of Information Science and Technology Nanjing 210044 China Key Laboratory of Space Ocean Remote Sensing and Application Ministry of Natural Resources Beijing 100081 China National Satellite Ocean Application Service Beijing 100081 China Architecture and City Design Department College of Design and Built Environment King Fahd University of Petroleum and Minerals (KFUPM) Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Aviation & Space Exploration (IRC-ASE) King Fahd University of Petroleum and Minerals (KFUPM) Dhahran 31261 Saudi Arabia

Phytoplankton play a crucial role in the primary productivity of ocean ecosystems, rendering changes in their populations particularly consequential. The effects of extreme sea surface temperature (SST) on phytoplankton are noteworthy. However, the direct characterization of total biomass by chlorophyll for analysis is inaccurate for phytoplankton functional taxa (PFTs) with different sensitivity to SST. Through the method of Diagnostic pigment analysis (DPA), these organisms can be classified into six primary functional taxa based on their distinctive pigments, which play a vital role in elucidating their ecological functions and dynamics. This study employed optical remote sensing to reconstruct daily concentrations and occupancy of six PFTs in the Eastern China Marginal Sea (ECMS) over the past 20 years. Causal analyses were conducted to identify regions with varying sensitivity to SST changes and further explore the corresponding impacts on phytoplankton concentrations. Results revealed that high-causality areas in the Bohai Sea (BS) and Yellow Sea (YS) were primarily located in nearshore waters. In contrast, high-causality regions in the East China Sea (ECS) were farther offshore, while nearshore areas exhibited lower causality. The high-causality subregions experienced significant fluctuations in phytoplankton concentrations, particularly during marine heatwave (MHW) events, with a prevailing trend of decline in taxon concentrations driven by elevated SST. In comparison, low-causality subregions displayed weaker synchronization with SST changes, as other factors influenced taxa concentrations more prominently. Notably, while phytoplankton concentrations fluctuated significantly during extreme MHW events, they eventually reverted to baseline levels. However, with the increasing frequency and intensity of MHWs due to global warming, the capacity for phytoplankton to recover under such repeated stress remains uncertain. This study emphasizes the necessity of furt

关键词： Absorption coefficient Optical absorption Optical properties Remote sensing Spatial resolution Strain

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Design and implementation of communication system of the Dawning 6000 supercomputer

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中国计算机科学前沿 2010年第4期4卷 466-474页

作者： Qiang LI Bo LI Zhigang HUO Ninghui SUN National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China Graduate University of Chinese Academy of Sciences Beijing 100190China National Research Center for Intelligent Computing Systems Beijing 100190China Key Laboratory of Computer System and Architecture Chinese Academy of SciencesBeijing 100190China

An increasing number of supercomputers adopt a heterogeneous architecture, consisting of both general purpose CPUs and specialized accelerators. Such design is beneficial for scalability and power, but on the other hand, heterogeneity brings new challenges in communication systems to connect heterogeneous components and provide support for programming. The communication system of the Dawning 6000 connectstwo kinds of heterogeneous processors, Loongson and AMD, and adopts a three layer architecture with an intranode layer between heterogeneous components. To efficiently connect heterogeneous components, the system forms a global address space and provides a mechanism for message transmission via an in-node global store; and employing Infiniband network, provides an OS-bypassing virtualization method to share an Infiniband card between nodes. To facilitate programming on heterogeneous processors, it supports unified parallel C (UPC), with a modified complier based on global address space. Also, aspecial collective network is implemented for collective operations. Results obtained from a prototype system prove these features to be both feasible and efficient.

关键词： hyper parallel processing (HPP) global address space (GAS) virtualization Dawning 6000 unified parallel C (UPC)

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Missile aerodynamic design using reinforcement learning and transfer learning

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Science China(Information Sciences) 2018年第11期61卷 253-255页

作者： Xinghui YAN Jihong ZHU Minchi KUANG Xiangyang WANG Department of Computer Science and Technology Tsinghua University State Key Laboratory of Intelligent Technology and System Tsinghua University

Dear editor,Aerodynamic design is usually a time-consuming process of four steps [1]. First, an initial design profile is obtained with designer’s domain knowledge. Second, the design profile is represented as a CAD model using softwares such as Catia or ***, a CAE software, such as ICEM or Hypermesh, is applied to generate corresponding *** last, a computational fluid dynamics (CFD)software, such as Fluent or CFX, is used to calculate the performance. Therefore, only numbered

关键词： II Missile aerodynamic design using reinforcement learning and transfer learning Figure

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An Elastic architecture Adaptable to Various Application Scenarios

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Journal of computer Science & Technology 2014年第2期29卷 227-238页

作者：伍岳陈云霁陈天石郭崎张磊 State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences University of Chinese Academy of Sciences IBM Research-China

The quantity of computer applications is increasing dramatically as the computer industry prospers. Meanwhile, even for one application, it has different requirements of performance and power in different scenarios. Although various processors with different architectures emerge to fit for the various applications in different scenarios, it is impossible to design a dedicated processor to meet all the requirements. Furthermore, dealing with uncertain processors significantly aggravates the burden of programmers and system integrators to achieve specific performance/power. In this paper, we propose elastic architecture （EA） to provide a uniform computing platform with high elasticity, i.e., the ratio of worst-case to best-case performance/power/performance-power trade-off, which can meet different requirements for different applications. It is achieved by dynamically adjusting architecture parameters （instruction set, branch predictor, data path, memory hierarchy, concurrency, status^zcontrol, and so on） on demand. The elasticity of our prototype implementation of EA, as Sim-EA, ranges from 3.31 to 14.34, with 5.41 in arithmetic average, for SPEC CPU2000 benchmark suites, which provides great flexibility to fulfill the different performance and power requirements in different scenarios. Moreover, Sim-EA can reduce the EDP （energy-delay product） for 31.14% in arithmetic average compared with a baseline fixed architecture. Besides, some subsequent experiments indicate a negative correlation between application intervals＇ lengths and their elasticities.

关键词： architecture design configurable elasticity energy-delay product reduction

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RevivePath:Resilient Network-on-Chip Design Through Data Path Salvaging of Router

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Journal of computer Science & Technology 2013年第6期28卷 1045-1053页

作者：韩银和刘成路航李文博张磊李晓维 CCF IEEE ACM State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences University of Chinese Academy of Sciences

Network-on-Chip （NoC） with excellent scalability and high bandwidth has been considered to be the most promising communication architecture for complex integration systems. However, NoC reliability is getting continuously challenging for the shrinking semiconductor feature size and increasing integration density. Moreover, a single node failure in NoC might destroy the network connectivity and corrupt the entire system. Introducing redundancies is an efficient method to construct a resilient communication path. However, prior work based on redundancies, either results in limited reliability with coarse grain protection or involves even larger hardware overhead with fine grain. In this paper, we notice that data path such as links, buffers and crossbars in NoC can be divided into multiple identical parallel slices, which can be utilized as inherent redundancy to enhance reliability. As long as there is one fault-free slice left available, the proposed salvaging scheme named as RevivePath, can be employed to make the overall data path still functional. Furthermore, RevivePath uses the direct redundancy to protect the control path such as switch arbiter, routing computation, to provide a full fault-tolerant scheme to the whole router. Experimental results show that it achieves quite high reliability with graceful performance degradation even under high fault rate.

关键词： Network-on-Chip fault-tolerant on-chip router

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Reliable and Energy Efficient Protocol for Wireless Sensor Network

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Tsinghua Science and Technology 2007年第S1期12卷 95-100页

作者：阚保强蔡理徐勇军 College of Science Air Force Engineering University Key Laboratory of Computer System and Architecture Institute of Computing TechnologyChinese Academy of Sciences

Low-power design is one of the most important issues in wireless sensor networks (WSNs) , while reliable information transmitting should be ensured as well. Transmitting power (TP) control is a simple method to make the power consumption down, but excessive interferences from potential adjacent operating links and communication reliability between nodes should be considered. In this paper, a reliable and energy efficient protocol is presented, which adopts adaptive rate control based on an optimal TP. A mathematical model considering average interference and network connectivity was used to predict the optimal TP. Then for the optimal TP, active nodes adaptively chose the data rate with the change of bit-error–rate(BER) performance. The efficiency of the new strategy was validated by mathematical analysis and simulations. Compared with 802.11 DCF which uses maximum unified TP and BASIC protocol, it is shown that the higher average throughput can achieve while the energy consumption per useful bit can be reduced according to the results.

关键词： wireless sensor networks reliable communication energy efficient optimal transmitting power adaptive link control

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