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| 1 | Evaluating cellulose absorption index(CAI) for non-photosynthetic biomass estimation in the desert steppe of Inner Mongolia显示文摘Accurate estimation of non-photosynthetic biomass is critical for modeling carbon dynamics within grassland ecosystems.We evaluated the cellulose absorption index(CAI),widely used for monitoring non-photosynthetic vegetation coverage,for non-photosynthetic biomass estimation.Our analysis was based on in situ hyperspectral measurements,during the growing seasons of 2009 and 2010,in the desert steppe of Inner Mongolia.ASD(Analytical Spectral Device)-derived and Hyperion-derived CAI were found to be effective for non-photosynthetic biomass estimation,yielding relative error(RE) values of 26.4% and 26.6%,respectively.The combination of MODIS(Moderate Resolution Imaging Spectroradiometer)-derived(MODIS2 MODIS5)/(MODIS2 +MODIS5) and(MODIS6 MODIS7)/(MODIS6 +MODIS7) showed a high multiple correlation(multiple correlation coefficient,r=0.884) with ASD-derived CAI.A predictive model involving the two MODIS indices gave greater accuracy(RE=28.9%) than the TM(Landsat Thematic Mapper)-derived indices.The latter were the normalized difference index(NDI),the soil adjusted corn residue index(SACRI),and the modified soil adjusted crop residue index(MSACRI).These indices yielded RE values of more than 42%.Our conclusions have great significance for the estimation of regional non-photosynthetic biomass in grasslands,based on remotely sensed data. | REN HongRui ZHOU GuangSheng ZHANG Feng ZHANG XinShi | 2012 | Chinese Science Bulletin2012，57，14： | 6 |
| 2 | A Hierarchical P2P Model and a Data Fusion Method for Network Security Situation Awareness System显示文摘A hierarchical peer-to-peer(P2P) model and a data fusion method for network security situation awareness system are proposed to improve the efficiency of distributed security behavior monitoring network. The single point failure of data analysis nodes is avoided by this P2P model, in which a greedy data forwarding method based on node priority and link delay is devised to promote the efficiency of data analysis nodes. And the data fusion method based on repulsive theory-Dumpster/Shafer(PSORT-DS) is used to deal with the challenge of multi-source alarm information. This data fusion method debases the false alarm rate. Compared with improved Dumpster/Shafer(DS) theoretical method based on particle swarm optimization(PSO) and classical DS evidence theoretical method, the proposed model reduces false alarm rate by 3% and 7%,respectively, whereas their detection rate increases by 4% and 16%, respectively. | GUO Fangfang HU Yibing XIU Longting FENG Guangsheng WANG Shuaishuai | 2016 | Wuhan University Journal of Natural Sciences2016，21，2： | 5 |
| 3 | A Differential Game Based Approach Against Objective Function Attack in Cognitive Networks显示文摘We study the problem of defense strategy against Objective function attack(OFA) in Cognitive networks(CNs), where the network can be operated at the optimal state by adapting the parameters of its objective function. An OFA attacker can disrupt the parameter adaptation by interfering measures, which results in some operating parameters of the objective function deviating from their optimal settings. We first model the interactive process between the OFA attacker and defense system using differential game theory, and propose a defense strategy by introducing a new metric, namely, threat factor. Then,we obtain the optimal defense strategy by proving the existence of the saddle point of the proposed model. Moreover,this defense strategy is scale-free such that it can conquer a large number of OFAs in a decentralized way. Finally, we conduct extensive simulations to show that the proposed approach is effective. | FENG Guangsheng LIN Junyu ZHAO Qian WANG Huiqiang LYU Hongwu ZHAO Xiaoyu HAN Jizhong LI Bingyang | 2018 | Chinese Journal of Electronics2018，27，4： | 2 |
| 4 | 2021 Chinese consensus on the diagnosis and management of primary immune thrombocytopenia in pregnancy显示文摘Immune thrombocytopenia(ITP)is an acquired disease characterized by isolated thrombocytopenia,which is one of the most common causes of thrombocytopenia during pregnancy.Women with ITP who have severe thrombocytopenia are at an increased risk for life-threatening obstetric complications.Therefore,we established this consensus statement on the diagnosis and management of ITP during pregnancy(detailed information is available in the Supplementary File,http://gffzz16e312a87a7141a5hnbbwp0w5puvq6knb.ffgz.tsg.suse.edu.cn/A978). | Zhang Xiaohui Chen Fangping Chen Xiequn Cheng Yunfeng Fang Meiyun Feng Jianming Fu Haixia Gao Hong Han Yue He Aili Hou Ming Hu Yu Huang Ruibin Huang Wenrong Jing Zhicheng Kong Peiyan Liang Aibin Liang Meiying Liu Daihong Liu Junling Liu Lin Liu Xiaowei Ma Liangming Mei Heng Ni Heyu Niu Ting Peng Jun Qiao Jianlin Ren Jinhai Song Yongping Tang Liang V Tong Tong Wang Shaoyuan Wang Xin Wang Zhao Wei Hui Wu Depei Wu Guangsheng Xu Caigang Xu Xue Xu Yajing Yang Linhua Yang Renchi Yang Tonghua Yin Chenghong Yu Li Zhang Guangsen Zhang Lei Zhang Liansheng Zhang Xi Zhao Weili Zhao Yongqiang Zhou Daobin Zhou Hu Zhou Zeping Zhu Tienan Wang Jianliu Huang Xiaojun | 2022 | Chinese Medical Journal2022，，8： | 2 |
| 5 | Remote estimation of the fraction of absorbed photosynthetically active radiation for a maize canopy in Northeast China显示文摘Aims accurate remote estimation of the fraction of absorbed photosynthetically active radiation(fAPAR)is essential for the light use efficiency(LUE)models.Currently,one challenge for the LUE models is lack of knowledge about the relationship between fAPAR and the normalized difference vegetation index(NDVI).Few studies have tested this relationship against field measurements and evaluated the accuracy of the remote estimation method.this study aimed to reveal the empirical relationship between NDVI and fAPAR and to improve algorithms for remote estimation of fAPAR.Methods to investigate the method of remote estimation of fAPAR seasonal dynamics,the CASA(Carnegie-ames-stanford approach)model and spectral vegetation indices(VIs)were used for in situ measure-ments of spectral reflectance and fAPAR during the growing season of a maize canopy in Northeast China.Important Findingsthe results showed that the fAPAR increased rapidly with the day of year during the vegetative stage,it remained relatively stable at the stage of reproduction,and finally decreased slowly during the senescence stage.In addition,fAPAR green[fAPAR_(green)=fAPAR_(green) -fAPAR_(green) LAI_(max))]showed clearer seasonal trends than fAPAR.the NDVI,red-edge NDVI,wide dynamic range vegetation index,red-edge position(REP)and REP with sentinel-2 bands derived from hyperspectral remote sensing data were all significantly positively related to fAPAR green during the entire growing season.In a comparison of the predictive performance of VIs for the whole growing season,REP was the most appropriate spectral index,and can be recommended for monitoring seasonal dynamics of fAPAR in a maize canopy. | Feng Zhang Guangsheng Zhou Christer Nilsson | 2015 | Journal of Plant Ecology2015，8，4： | 2 |
| 6 | A Method of Improving Seismic Data Resolution:Comprehensive Inversion of Well logging and Seismic Data显示文摘AMethodofImprovingSeismicDataResolution:ComprehensiveInversionofWellloggingandSeismicDataZhangYufen;HongFeng(DepartmentofAppl... | Zhang Yufen Hong Feng(Department of Applied Geophysics, China University of Geosciences, Wuhan 430074)Li Fenglan Qing Guangsheng(Geological Survey Division, Zhongyuan Petroleum Exploration Bureau, Puyang 457001) | 1996 | Journal of Earth Science1996，15，2： | 2 |
| 7 | Electrochemical performance of Nd 1.93 Sr 0.07 CuO 4 nanofiber as cathode material for SOFC显示文摘 | Li-Ping Sun Qiang Li Hui Zhao Ju-Hong Hao Li-Hua Huo Guangsheng Pang Zhan Shi Shouhua Feng | 2012 | International Journal of Hydrogen Energy2012，，16： | 1 |
| 8 | Ancient culture decline after the Han Dynasty in the Chaohu Lake basin, East China: A geoarchaeological perspective显示文摘 | Li Wu Xinyuan Wang Cheng Zhu Guangsheng Zhang Feng Li Lan Li Suyuan Li | 2011 | Quaternary International2011，，： | 1 |
| 9 | Predicting community traits along an alpine grassland transect using field imaging spectroscopy显示文摘Assessing plant community traits is important for understanding how terrestrial ecosystems respond and adapt to global climate change.Field hyperspectral remote sensing is effective for quantitatively estimating vegetation properties in most terrestrial ecosystems,although it remains to be tested in areas with dwarf and sparse vegetation,such as the Tibetan Plateau.We measured canopy reflectance in the Tibetan Plateau using a handheld imaging spectrometer and conducted plant community investigations along an alpine grassland transect.We estimated community structural and functional traits,as well as community function based on a field survey and laboratory analysis using 14 spectral vegetation indices(VIs)derived from hyperspectral images.We quantified the contributions of environmental drivers,VIs,and community traits to community function by structural equation modelling(SEM).Univariate linear regression analysis showed that plant community traits are best predicted by the normalized difference vegetation index,enhanced vegetation index,and simple ratio.Structural equation modelling showed that VIs and community traits positively affected community function,whereas environmental drivers and specific leaf area had the opposite effect.Additionally,VIs integrated with environmental drivers were indirectly linked to community function by characterizing the variations in community structural and functional traits.This study demonstrates that community-level spectral reflectance will help scale plant trait information measured at the leaf level to larger-scale ecological processes.Field imaging spectroscopy represents a promising tool to predict the responses of alpine grassland communities to climate change. | Feng Zhang Wenjuan Wu Lang Li Xiaodi Liu Guangsheng Zhou Zhenzhu Xu | 2023 | Journal of Integrative Plant Biology2023，65，12： | 0 |
| 10 | A Distributed Strategy for Defensing Objective Function Attack in Large-scale Cognitive Networks显示文摘Most of existed strategies for defending OFA (Objective Function Attack)are centralized, only suitable for small-scale networks and stressed on the computation complexity and traffic load are usually neglected. In this paper, we pay more attentions on the OFA problem in large-scale cognitive networks, where the big data generated from the network must be considered and the traditional methods could be of helplessness. In this paper, we first analyze the interactive processes between attacker and defender in detail, and then a defense strategy for OFA based on differential game is proposed, abbreviated as DSDG. Secondly, the game saddle point and optimal defense strategy have proved to be existed simultaneously. Simulation results show that the proposed DSDG has a less influence on network performance and a lower rate of packet loss.More importantly, it can cope with the large range | Guangsheng Feng Junyu Lin Huiqiang Wang Xiaoyu Zhao Hongwu Lv Qiao Zhao | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 11 | An Energy Efficient Random Walk Based Expanding Ring Search Method for Wireless Networks显示文摘Wireless networks generate large amount of data. It is important to design energy efficient data search method since power of wireless nodes is finite. Expanding Ring Search (ERS) is a data search technique exploring for targets progressively, which is widely used to locate destinations or information in wireless networks. The existing studies on improving the energy efficiency of ERS cannot work without positioning systems. In this paper, we combine the technique of random walk with ERS, and propose a random walk based expanding ring search method (RWERS) for large-scale wireless networks. RWERS can work without using positioning systems, and improve the energy efficiency of ERS by preventing each node from transmitting the same request more than once using the technique of random walk. We compare RWERS with the optimal ERS strategy and CERS in networks with various shapes of terrains. The simulation results show that RWERS decreases the energy cost by 50% without decreasing in success rate compared with ERS, and has twice the success rate of CERS when the network is sparse. RWERS can be applied to various shapes of terrains better compared with CERS. | Huiqiang Wang Xiuxiu Wen Junyu Lin Guangsheng Feng Hongwu Lv | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 12 | Optimizing Utility of Cognitive Radio Ad Hoc Networks under the Energy and Retransmission Constraint显示文摘 | FENG Guangsheng ZHAO Qian WANG Huiqiang LV Hongwu Lin JUNYU MA Chunguang | 2014 | China Communications2014，11，A01： | 0 |
| 13 | A Heuristic Indoor Path Planning Method Based on Hierarchical Indoor Modelling显示文摘 | Jingwen Li Liqiang Zhang Qian Zhao Huiqiang Wang Hongwu Lv Guangsheng Feng | 2018 | 国际计算机前沿大会会议论文集2018，，2： | 0 |
| 14 | V2V Online Data Offloading Method Based on Vehicle Mobility显示文摘As people are accustomed to getting information in the vehicles,mobile data offloading through Vehicular Ad Hoc Networks(VANETs)becomes prevalent nowadays.However,the impacts caused by the vehicle mobility(such as the relative speed and direction between vehicles)have great effects on mobile data offloading.In this paper,a V2V online data offloading method is proposed based on vehicle mobility.In this mechanism,the network service process was divided into continuous and equal-sized time slots.Data were transmitted in a multicast manner for the sake of fairness.The data offloading problem was formalized to maximize the overall satisfaction of the vehicle users.In each time slot,a genetic algorithm was used to solve the maximizing problem to obtain a mobile data offloading strategy.And then,the performance of the algorithm was enhanced by improving the algorithm.The experiment results show that vehicle mobility has a great effect on mobile data offloading,and the mobile data offloading method proposed in the paper is effective. | Xianlang Hu Dafang Zhang Shizhao Zhao Guangsheng Feng Hongwu Lv | 2020 | 国际计算机前沿大会会议论文集2020，，1： | 0 |
| 15 | An Availability Evaluation Method of Web Services Using Improved Grey Correlation Analysis with Entropy Difference and Weight显示文摘Web services is one of the basic network services, whose availability evaluation is of great significance to the promotion of users’ experience. This paper focuses on the problem of availability evaluation of Web services and proposes a method for availability evaluation of Web services using improved grey correlation analysis with entropy difference and weight (EWGCA).This method is based on grey correlation analysis, and use entropy difference to illustrate the changes of availability, set weight to quantize availability requirements of different operations or transactions in services. Through simulation experiment in high load scenarios for Web services, the experiment result shows that our method can realize hierarchical description and overall evaluation for availability of Web services accurately in the case of smaller test sample volumes or uncertain data even in the field of big data. | Zhanbo He Huiqiang Wang Junyu Lin Guangsheng Feng Hongwu Lv Yibing Hu | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 16 | Near-Optimal Transmission Optimization of Cache-Based SVC Vehicle Video显示文摘A problem of video streaming of scalable video coding(SVC)is studied in vehicular networks.To improve the performance of the video streaming services and alleviate the pressure on backhaul links,the small cell base stations(SBS)is proposed with caching ability to assist the content delivery.In this paper,it introduced the problem of joint optimization of caching strategy and transmission path in SBS cache cluster.An integer programming problem was formulated to maximize the average quality of experience.In order to obtain the globally optimal solution,the primal problem was first relaxed,then an adaptive algorithm was used based on the joint KKT condition,and the branch definition algorithm was applied.Extensive simulations were performed to demonstrate the efficiency of our proposed caching strategy. | Xianlang Hu He Dong Xiangrui Kong Ruibing Li Guangsheng Feng Hongwu Lv | 2020 | 国际计算机前沿大会会议论文集2020，，1： | 0 |
| 17 | Nonlinearly correlated failure analysis and autonomic prediction for distributed systems显示文摘 | Lu Xu Wang Huiqiang Lv Xiao Feng Guangsheng Zhou Renjie | 2011 | High Technology Letters2011，17，3： | 0 |
| 18 | A Cooperative Indoor Localization Method Based on Spatial Analysis显示文摘 | Qian Zhao Yang Liu Huiqiang Wang Hongwu Lv Guangsheng Feng Mao Tang | 2018 | 国际计算机前沿大会会议论文集2018，，1： | 0 |
| 19 | An effective method for service components selection based on micro-canonical annealing considering dependability assurance显示文摘Distributed virtualization changes the pattern of building software systems. However, it brings some problems on dependability assurance owing to the complex social relationships and interactions between service components. The best way to solve the problems in a distributed virtualized environment is dependable service components selection. Dependable service components selection can be modeled as finding a dependable service path, which is a multiconstrained optimal path problem. In this paper, a service components selection method that searches for the dependable service path in a distributed virtualized environment is proposed from the perspective of dependability assurance. The concept of Quality of Dependability is introduced to describe and constrain software system dependability during dynamic composition. Then, we model the dependable service components selection as a multiconstrained optimal path problem, and apply the Adaptive Bonus-Penalty Microcanonical Annealing algorithm to find the optimal dependable service path. The experimental results show that the proposed algorithm has high search success rate and quick converges. | Shichen ZOU Junyu LIN Huiqiang WANG Hongwu LV Guangsheng FENG | 2019 | Frontiers of Computer Science2019，13，2： | 0 |
| 20 | Optimal Overbooking Mechanism in Data Plan Sharing显示文摘For mobile devices users, the inconvenience caused by the fixed data plans becomes a popular issue. With the help of personal hotspot (pH), however, the smartphone users can share network connection with other users nearby. In this paper a data plan sharing platform with reservation mechanism is proposed. The users on this platform can sell their surplus data plan traffic to make profit. A Markov decision process model was formulated and analyzed for data plan sharing platform revenue management through overbooking mechanism. The results of experiment and simulation show that the platform revenue has a considerable growth using this model. | Yaxin Zhao Guangsheng Feng Bingyang Li Chengbo Wang Haibin Lv | 2019 | 国际计算机前沿大会会议论文集2019，，1： | 0 |
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