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| 1 | A Survey of Security Issues in Cognitive Radio Networks显示文摘In the last decade,cognitive radio(CR) has emerged as a major next generation wireless networking technology,which is the most promising candidate solution to solve the spectrum scarcity and improve the spectrum utilization.However,there exist enormous challenges for the open and random access environment of CRNs,where the unlicensed secondary users(SUs) can use the channels that are not currently used by the licensed primary users(PUs) via spectrum-sensing technology.Because of this access method,some malicious users may access the cognitive network arbitrarily and launch some special attacks,such as primary user emulation attack,falsifying data or denial of service attack,which will cause serious damage to the cognitive radio network.In addition to the specifi c security threats of cognitive network,CRNs also face up to the conventional security threats,such as eavesdropping,tampering,imitation,forgery,and noncooperation etc..Hence,Cognitive radio networks have much more risks than traditional wireless networks with its special network model.In this paper,we considered the security threats from passive and active attacks.Firstly,the PHY layer security is presented in the view of passive attacks,and it is a compelling idea of using the physical properties of the radio channel to help provide secure wireless communications.Moreover,malicious user detection is introduced in the view of active attacks by means of the signal detection techniques to decrease the interference and the probabilities of false alarm and missed detection.Finally,we discuss the general countermeasures of security threats in three phases.In particular,we discuss the far reaching effect of defensive strategy against attacks in CRNs. | LI Jianwu FENG Zebing FENG Zhiyong ZHANG Ping | 2015 | China Communications2015，12，3： | 9 |
| 2 | The nitritation performance of biofilm reactor for treating domestic wastewater under high dissolved oxygen显示文摘The objective of this study was to investigate the nitritation performance in a biofilm reactor for treating domestic wastewater.The reactor was operated in continuous feed mode from phases 1 to 3.The dissolved oxygen(DO)was controlled at 3.5–7 mg/L throughout the experiment.The biofilm reactor showed excellent nitritation performance after the inoculation of nitrifying sludge,with the hydraulic retention time being reduced from 24 to 7 hr.Above 90%nitrite accumulation ratio(NAR)was maintained in phase 1.Afterwards,nitratation occurred with the low NH_4^+–N concentration in the reactor.The improvement of NH_4^+–N concentration to 20–35 mg/L had a limited effect on the recovery of nitritation.However,nitritation recovered rapidly when sequencing batch feed mode was adopted in phase 4,with the effluent NH_4^+-N concentration above 7 mg/L.The improvement of ammonia oxidizing bacteria(AOB)activity and the combined inhibition effect of free ammonia(FA)and free nitrous acid(FNA)on the nitrite oxidizing bacteria(NOB)were two key factors for the rapid recovery of nitritation.Sludge activity was obtained in batch tests.The results of batch tests had a good relationship with the long term operation performance of the biofilm reactor. | Zhaoming Zheng Zebing Li Jing Ma Jia Du Guanghui Chen Wei Bian Jun Li Baihang Zhao | 2016 | Journal of Environmental Sciences2016，28，4： | 7 |
| 3 | STGSA:A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction显示文摘The success of intelligent transportation systems relies heavily on accurate traffic prediction,in which how to model the underlying spatial-temporal information from traffic data has come under the spotlight.Most existing frameworks typically utilize separate modules for spatial and temporal correlations modeling.However,this stepwise pattern may limit the effectiveness and efficiency in spatial-temporal feature extraction and cause the overlook of important information in some steps.Furthermore,it is lacking sufficient guidance from prior information while modeling based on a given spatial adjacency graph(e.g.,deriving from the geodesic distance or approximate connectivity),and may not reflect the actual interaction between nodes.To overcome those limitations,our paper proposes a spatial-temporal graph synchronous aggregation(STGSA)model to extract the localized and long-term spatial-temporal dependencies simultaneously.Specifically,a tailored graph aggregation method in the vertex domain is designed to extract spatial and temporal features in one graph convolution process.In each STGSA block,we devise a directed temporal correlation graph to represent the localized and long-term dependencies between nodes,and the potential temporal dependence is further fine-tuned by an adaptive weighting operation.Meanwhile,we construct an elaborated spatial adjacency matrix to represent the road sensor graph by considering both physical distance and node similarity in a datadriven manner.Then,inspired by the multi-head attention mechanism which can jointly emphasize information from different r epresentation subspaces,we construct a multi-stream module based on the STGSA blocks to capture global information.It projects the embedding input repeatedly with multiple different channels.Finally,the predicted values are generated by stacking several multi-stream modules.Extensive experiments are constructed on six real-world datasets,and numerical results show that the proposed STGSA model significantly outperforms the benchmarks. | Zebing Wei Hongxia Zhao Zhishuai Li Xiaojie Bu Yuanyuan Chen Xiqiao Zhang Yisheng Lv Fei-Yue Wang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，1： | 1 |
| 4 | Security management based on trust determination in cognitive radio networks显示文摘 | Jianwu Li Zebing Feng Zhiqing Wei etl | 2014 | EURASIP Journal on Advances in Signal Processing2014，2014，1： | 1 |
| 5 | A critical review on the recycling of copper and precious metals from waste printed circuit boards using hydrometallurgy显示文摘 | Zebing Wu Wenyi Yuan Jinhui Li Xiaoyan Wang Lili Liu Jingwei Wang | 2017 | Frontiers of Environmental Science & Engineering2017，11，5： | 1 |
| 6 | Ultrafast growth of high-quality large-sized GaSe crystals by liquid metal promoter显示文摘Growth of high-quality large-sized crystals using the traditional chemical vapor transport(CVT)or vertical Bridgman(VB)technique is costly and time-consuming,limiting its practical industrial application.Here,we propose an ultrafast crystal growth process with low energy consumption and capability of producing crystals of excellent quality,and demonstrate that large-sized GaSe crystals with a lateral size of 0.5 to 1 cm can be obtained within a short period of 5 min.X-ray diffraction(XRD)and scanning transmission electron microscopy(STEM)studies clearly indicate that the as-grown crystals have a good crystallinity.To further show the potential application of the resulting GaSe crystals,we fabricate the few-layer GaSe-based photodetector,which exhibits low dark current of 21 pA and fast response of 34 ms under 405 nm illumination.Our proposed technique for rapid crystal growth could be further extended to other metallenes with low-melting point,such as Bi-,Sn-,In-,Pb-based crystals,opening up a new avenue in fulfilling diverse potential optoelectronics applications of two-dimensional(2D)crystals. | Zuxin Chen Quan Chen Zebing Chai Bin Wei Jun Wang Yanping Liu Yumeng Shi Zhongchang Wang Jingbo Li | 2022 | Nano Research2022，15，5： | 1 |
| 7 | Social relation and physical lane aggregator:integrating social and physical features for multimodal motion prediction显示文摘Purpose–The purpose of this paper aims to model interaction relationship of traffic agents for motion prediction,which is critical for autonomous driving.It is obvious that traffic agents’trajectories are influenced by physical lane rules and agents’social interactions.Design/methodology/approach–In this paper,the authors propose the social relation and physical lane aggregator for multimodal motion prediction,where the social relations of agents are mainly captured with graph convolutional networks and self-attention mechanism and then fused with the physical lane via the self-attention mechanism.Findings–The proposed methods are evaluated on the Waymo Open Motion Dataset,and the results show the effectiveness of the proposed two feature aggregation modules for trajectory prediction.Originality/value–This paper proposes a new design method to extract traffic interactions,and the attention mechanism is used in each part of the model to extract and fuse different relational features,which is different from other methods and improves the accuracy of the LSTM-based trajectory prediction method. | Qiyuan Chen Zebing Wei Xiao Wang Lingxi Li Yisheng Lv | 2022 | Journal of Intelligent and Connected Vehicles2022，5，3： | 0 |
| 8 | Stable Quadruple Helical Tetraradicaloid with Thermally Induced Intramolecular Magnetic Switching显示文摘We report an air-stable tetraradicaloid based on a rarely explored perylenequinonoid(PQ)core,namely,tetrabenzo-annulated tetracyclopenta[b,e,k,n]perylene(TBCP),which has a quadruple helical structure.As validated by X-ray crystallographic analysis and theoretical calculations,the nonplanar TBCP possesses unique hybrid resonance structures of two open-shell singlet diradicaloids.Remarkably,magnetic measurements reveal that TBCP in powder form shows unusual magnetic hysteresis upon heating followed by cooling,corresponding to interconversion of structure isomers with different magnetic properties.Such electronic properties can be rationalized as the response of structural changes to external thermal stimuli,accompanied by a subtle balance of two types of intramolecular magnetic interactions between four-site spin centers.The results provide a novel organic polyradicaloid as an unprecedented example of a functional material with the potential for intramolecular magnetic switching. | Jing Guo Zhiyu Li Jun Zhang Bo Li Yuan Liang Yanpei Wang Sheng Xie Hoa Phan Tun Seng Herng Jun Ding Jishan Wu Ben Zhong Tang Zebing Zeng | 2022 | CCS Chemistry2022，4，1： | 0 |
| 9 | Large language models for human–robot interaction:A review显示文摘The fusion of large language models and robotic systems has introduced a transformative paradigm in human–robot interaction,offering unparalleled capabilities in natural language understanding and task execution.This review paper offers a comprehensive analysis of this nascent but rapidly evolving domain,spotlighting the recent advances of Large Language Models(LLMs)in enhancing their structures and performances,particularly in terms of multimodal input handling,high-level reasoning,and plan generation.Moreover,it probes the current methodologies that integrate LLMs into robotic systems for complex task completion,from traditional probabilistic models to the utilization of value functions and metrics for optimal decision-making.Despite these advancements,the paper also reveals the formidable challenges that confront the field,such as contextual understanding,data privacy and ethical considerations.To our best knowledge,this is the first study to comprehensively analyze the advances and considerations of LLMs in Human–Robot Interaction(HRI)based on recent progress,which provides potential avenues for further research. | Ceng Zhang Junxin Chen Jiatong Li Yanhong Peng Zebing Mao | 2023 | Biomimetic Intelligence & Robotics2023，3，4： | 0 |
| 10 | Fusing Thienoisoindigo to the Conjugated Ribbons with Strong Absorption in the Second Near-Infrared Window显示文摘Organic dyes with strong absorption in the second near-infrared(NIR-II)window(1000-1700 nm)have multiple applications.However,the design and synthesis of stable NIR-II absorbing organic dyes are very challenging and constantly defy our synthetic ability.In this work,we have successfully synthesized a series of soluble and stable fused thienoisoindigo(nThIID)ribbons.The absorption maximum(λ_(max))of the ribbons increases from 644 nm of 1ThIID to 1252 nm of 6ThIID.Importantly,nThIIDs with n≥4 all display strong absorption in the NIR-II window with molar extinction coefficients(ε_(max))greater than 105 L mol^(−1)cm^(−1)atλmax.These molecules are promising photothermal conversion dyes with photothermal conversion efficiencies of ca.60%under 1064 nm laser irradiation. | Yu Jiang Yaogang Zhang Yunfeng Deng Shaoqiang Dong Bo Li Yuanping Yi Zebing Zeng Hanjiao Chen Hao Luo Yanhou Geng | 2022 | CCS Chemistry2022，4，11： | 0 |
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