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| 1 | Origin of natural sulphur-bearing immiscible inclusions and H_2S in oolite gas reservoir, Eastern Sichuan显示文摘Based on results of microscopic observation and laser Raman analysis about fluid in- clusions, multiple special forms of immiscible inclusions that contain sulphur, liquid hydrocarbon, bi- tumen, etc. were discovered in samples collected from the H2S gas reservoir-containing carbonates in the Lower Triassic Feixianguan Formation in the Jinzhu-Luojia area, Kai County, Sichuan Province. Based on the lithology and burial history of the strata involved as well as measurement results of homogenization temperature of fluid inclusions, bitumen reflectivity, etc., it is concluded that the H2S in the gas reservoir resulted from the thermal reaction between hydrocarbons in reservoir and CaSO4 in the gypsum-bearing dolostone section at the high temperature (140℃―170℃) oil-cracked gas for- mation stage in Late Cretaceous. Thereafter, research on a great number of immiscible inclusions in the reservoir reveals that elemental sulphur resulted from oxidation of part of the earlier-formed H2S and further reaction between sulphates, hydrocarbons and H2S in geological fluids in H2S-bearing gas reservoir at a temperature of 86℃―89℃ and a pressure of 340×105Pa and during the regional uplift stage as characterized by temperature decrease and pressure decrease in Tertiary. Meanwhile, gyp- sum, anhydrite and calcite formed at this stage would trap particles like elemental sulphur and result in a variety of special forms of immiscible inclusions, and these inclusions would contain information concerning the complexity of the fluids in the reservoir and the origin of H2S and natural sulphur in the gas reservoir. | LIU Dehan XIAO Xianming XIONG Yongqiang GENG Ansong TIAN Hui PENG Ping'an SHEN Jiagui WANG Yunpeng | 2006 | Science China Earth Sciences2006，49，3： | 10 |
| 2 | Observation of hydrocarbon generation and migration of highly-matured carbonates by means of laser-induced fluorescence microscopy显示文摘Some important information on hydrocarbon generation, inclusion and migration inhighly-matured carbonates of lower Palaeozoic age from the Ordos Basin and Tarim Basin has been analyzed by a newly-combined laser-induced fluorescence microscope (LFM) designed by our laboratory. The following information has been obtained from the lower Ordovician lamellar carbonates with equivalent vitrinite reflectance (Ro) as high as 1.6%-1.7% and residual TOC of 0.14%-0.35% from the Ordos Basin: wide occurrences of oil and source macerals with strong fluorescence, including G.Prisca alginite, lamalginite, telalginite and algae-detrinite; fluorescing asphalt among mineral crystals; some groundmass and spheroid-like reservoir bitumen with high maturation levels in the pores of dolomites. Various kinds of fluorescing organic inclusions and asphalt have been found in the carbonates, calcareous shales and silt-shales with high maturation levels from the Cambrian-Ordovician strata in the Tarim Basin. All this helps us find | Dehan Liu Xianming Xiao Rongfen Jia Jiagui Shen Zufa Liu Yunpeng Wang Ansong Geng | 2000 | Chinese Science Bulletin2000，45，S1： | 5 |
| 3 | SDSA: A Framework of a Software-Defi ned Security Architecture显示文摘The fact that the security facilities within a system are closely coupled and the security facilities between systems are unconnected results in an isolated protection structure for systems, and gives rise to a serious challenge to system security integrations and system controls. Also, the need for diversified services and flexible extensions of network security asks for more considerations and contribu?tions from the perspective of software engineering in the process of designing and constructing security systems. Based on the essence of the virtualization technique and the idea of software-defined networks, we in this paper propose a novel software-defi ned security architecture for systems. By abstracting the traditional security facilities and techniques, the proposed security architecture provides a new, simple, effective, and programmable framework in which security operations and security controls can be decoupled, and thereby reduces the software module sizes, decreases the intensity of software deve?lopments, and improves the security extensibility of systems. | LIU Yanbing LU Xingyu JIAN Yi XIAO Yunpeng | 2016 | China Communications2016，13，2： | 3 |
| 4 | Transmission Cost Allocation by Power Tracing Based Equivalent Bilateral Exchanges显示文摘The allocation of transmission cost provides important references and signals for system expansions and investments.This paper proposes a power tracing based equivalent bilateral exchange(PTEBX)method in which network users are responsible for not only their induced power flows,but also power flows induced by whom they have equivalent bilateral exchanges with.The equivalent bilateral exchanges are recognized based on the power tracing.To evaluate the performance of different methods of allocating transmission cost,seven criteria are put forward that take into consideration characteristics of power systems.Theoretical analysis is then conducted to certify whether the methods satisfy the criteria.The results indicate that only the PTEBX method is able to satisfy all the seven criteria.Numerical examples based on the IEEE-30 system are presented to further demonstrate the applicability of the proposed method. | Yunpeng Xiao Xifan Wang Xiuli Wang Chao Du | 2016 | CSEE Journal of Power and Energy Systems2016，2，2： | 3 |
| 5 | A User Participation Behavior Prediction Model of Social Hotspots Based on Influence and Markov Random Field显示文摘Hotspot topic trends can be captured by analyzing user attributes and historical behavior in social network. In this paper,we propose a user participation behavior prediction model for social hotspots,based on user behavior and relationship data,to predict user participation behavior and topic development trends. Firstly,for the complex factors of user behavior,three dynamic influence factor functions are defined,including individual,peer and community influence. These functions take timeliness into account using a time discretization method. Secondly,to determine laws of individual behavior and group behavior within a social topic,a hotspot user participation behavior prediction model is proposed and associated with the basic concepts of random field and Markov property in information diffusion. The experimental results show that the model can not only dynamically predict the individual behavior,but also grasp the development trends of topics. | Yunpeng Xiao Jiawei Lai Yanbing Liu | 2017 | China Communications2017，14，5： | 2 |
| 6 | QTL mapping for flour and noodle colour components and yellow pigment content in common wheat显示文摘 | Yelun Zhang Yunpeng Wu Yonggui Xiao Zhonghu He Yong Zhang Jun Yan Yan Zhang Xianchun Xia Chuanxi Ma | 2009 | Euphytica2009，，3： | 1 |
| 7 | An efficient chemical reduction-induced assembly of Fe_(3)O_(4)@graphene fiber for wire-shaped supercapacitors with ultrahigh volumetric energy density显示文摘Benefiting from high flexibility and weavability,the wire-shaped supercapacitors(SCs)arouse tremendous interests for the applications in wearable/portable electronics.Graphene fiber(GF)is considered as a promising linear electrode for wire-shaped SCs.However,the bottleneck is how to develop the GF-based linear electrode with facile fabrication process while wellmaintaining satisfactory electrochemical performance.Herein,a novel Fe_(3)O_(4)@GF composite linear electrode is proposed via a chemical reduction-induced assembly approach,in which the GO and Fe_(3)O_(4) nanoparticles(NPs)realize the efficient selfassembly owing to the electrostatic and van der Waals interactions,as well as the sufficient reduction of GO during the preparation process.The resultant fiber-shaped architecture shows boosted charge-transfer kinetics,high flexibility and structural integrity.Such Fe_(3)O_(4)@GF linear electrode exhibits excellent electrochemical behaviors including a large volumetric specific capacitance(~250.75 F cm^(−3)),remarkable rate capability and favorable electrochemical kinetics in aqueous electrolyte,superior than previously reported GF-based linear electrodes.For real application,a high-performance wire-shaped SC with excellent flexibility and weavability is fabricated based on such Fe_(3)O_(4)@GF linear electrode and gel electrolyte,demonstrating ultrahigh volumetric energy density(18.8 mWh cm^(−3)),power density(4000 mW cm^(−3))and strong durability(~93.5%retention after 10000 cycles).Prospectively,the fabricated wire-shaped SC can maintain reliable electrochemical behaviors in various deformation states,showing its potentials in future portable and wearable devices. | XIAO Peng SHI MinJie XU Li TAO FengBo LI Yu ZHU HangTian LIU YuTing LI ZhiMin ZHOU YunPeng FENG Wei | 2021 | Science China(Technological Sciences)2021，64，10： | 1 |
| 8 | Analyzing, modeling,and simulation for human dynamics in social network 显示文摘 | Xiao Yunpeng Wang Bai | 2012 | Abstract and Applied Analysis2012，，20： | 1 |
| 9 | Three-Year Consecutive Field Application of Erythromycin Fermentation Residue Following Hydrothermal Treatment:Cumulative Effect on Soil Antibiotic Resistance Genes显示文摘Fermentation-based antibiotic production results in abundant nutrient-rich fermentation residue with high potential for recycling,but the high antibiotic residual concentration restricts its usefulness(e.g.,in land application as organic fertilizer).In this study,an industrial-scale hydrothermal facility for the treatment of erythromycin fermentation residue(EFR)was investigated,and the potential risk of the long-term soil application of treated EFR promoting environmental antibiotic resistance development was evaluated.The treatment effectively removed bacteria and their DNA,and an erythromycin removal ratio of up to approximately 98%was achieved.The treated EFR was utilized as organic fertilizer for consecutive field applications from 2018 to 2020,with dosages ranging from 3750 to 15000 kg·hm^(-2),resulting in subinhibitory levels of erythromycin(ranging from 0.83-76.00μg·kg^(-1))in soils.Metagenomic shotgun sequencing was then used to characterize the antibiotic resistance genes(ARGs),mobile genetic elements(MGEs),and bacterial community composition of the soils.The soil ARG abundance and diversity did not respond to the treated EFR application in the first year,but gradually changed in the second and third year of application.The highest fold change in relative abundance of macrolide-lincosamide-streptogramin(MLS)and total ARGs were 12.59 and 2.75 times,compared with the control(CK;without application),respectively.The soil MGEs and taxonomic composition showed similar temporal trends to those of the ARGs,and appeared to assist in driving increasing ARG proliferation,as revealed by correlation analysis and structural equation models(SEMs).The relative abundance of particular erm resistance genes(RNA methyltransferase genes)increased significantly in the third year of treated EFR application.The close association of erm with MGEs suggested that horizontal gene transfer played a critical role in the observed erm gene enrichment.Metagenomic binning results demonstrated that the proliferation of mac genecarrying hosts was responsible for the increased abundance of mac genes(efflux pump genes).This study shows that sub-inhibitory levels of erythromycin in soils had a cumulative effect on soil ARGs over time and emphasizes the importance of long-term monitoring for assessing the risk of soil amendment with treated industrial waste. | Ziming Han Haodi Feng Xiao Luan Yunpeng Shen Liren Ren Liujie Deng D.G.Joakim Larsson Michael Gillings Yu Zhang Min Yang | 2022 | Engineering2022，8，8： | 1 |
| 10 | Targeted Micellar Phthalocyanine for Lymph Node Metastasis Homing and Photothermal Therapy in an Orthotopic Colorectal Tumor Model显示文摘Tumor lymph node(LN)metastasis seriously affects the treatment prognosis.Studies have shown that nanoparticles with size of sub-50 nm can directly penetrate into LN metastases after intravenous administration.Here,we speculate through introducing targeting capacity,the nanoparticle accumulation in LN metastases would be further enhanced for improved local treatment such as photothermal therapy.Trastuzumabtargeted micelles(<50 nm)were formulated using a unique surfactantstripping approach that yielded concentrated phthalocyanines with strong near-infrared absorption.Targeted micellar phthalocyanine(T-MP)was an effective photothermal transducer and ablated HT-29 cells in vitro.A HER2-expressing colorectal cancer cell line(HT-29)was used to establish an orthotopic mouse model that developed metastatic disease in mesenteric sentinel LN.T-MP accumulated more in the LN metastases compared to the micelles conjugated with control IgG.Following surgical resection of the primary tumor,minimally invasive photothermal treatment of the metastatic LN with T-MP,but not the control micelles,extended mouse survival.Our findings demonstrate for the first time that targeted small-sized nanoparticles have potential to enable superior paradigms for dealing with LN metastases. | Hai‑Yi Feng Yihang Yuan Yunpeng Zhang Hai‑Jun Liu Xiao Dong Si‑Cong Yang Xue‑Liang Liu Xing Lai Mao‑Hua Zhu Jue Wang Qin Lu Quanjun Lin Hong‑Zhuan Chen Jonathan F.Lovell Peng Sun Chao Fang | 2021 | Nano-Micro Letters2021，13，11： | 1 |
| 11 | Correlations multiplexing for link prediction in multidimensional network spaces显示文摘In social networks, link establishment among users is affected by diversity correlations. In this paper, we study the formation of links, map correlations into multidimensional network spaces and apply their behavioral and structural features to the problem of link prediction. First, by exploring user behavioral correlation and network structural correlation, we map them into three network spaces: following space, interaction space and structure space. With a hierarchical process, the coupling relationship between the spaces can be reduced and we can analyze the correlation in each space separately. Second, by taking advantage of the latent Dirichlet allocation(LDA) topic model for dealing with the polysemy and synonym problems, the traditional text modeling method is improved by Gaussian weighting and applied to user behavior modeling.In this way, the expression ability of topics can be enhanced, and improved topic distribution of user behavior can be obtained to mine user correlations in the following space and the interaction space. Moreover, the method can be extended using the hidden naive Bayesian algorithm which is good at reducing attribute independence. By quantifying the dependencies between common neighbors, we can analyze user correlations in the structure space and multiplex the correlations of the other two spaces to link prediction. The experimental results indicate that the method can effectively improve link prediction performance. | Yunpeng XIAO Xixi LI Yuanni LIU Hong LIU Qian LI | 2018 | Science China(Information Sciences)2018，61，11： | 1 |
| 12 | Preparation and Properties of a Long-life Cementbased Mortar Used on Metal Oilcans显示文摘Organic-based materials are often used as the coating of metal oilcans. But they need to be sprayed several times in the whole life of oilcans because of the short-life of organic components. To overcome this problem, a type of long-life flexible cement-based anti-corrosion material used on the surface of metal oilcans was developed according to the principle that the steel reinforced concrete can remain the same life with buildings. The materials with different formulas composed of acrylic emulsion, cement and other additives were prepared. Because the ratios of polymer to cement played the decisive role in the adhesion and anti-corrosion characteristics, their effects on the physical performances were investigated by comparing the mechanical properties, anti-corrosion and anti-aging properties. The relationship between microstructure and macroscopic properties was also discussed. | 孙世安 FEI Yiwei YANG Hongwei XIAO Yunpeng 宗志敏 | 2014 | Journal of Wuhan University of Technology(Materials Science)2014，29，2： | 0 |
| 13 | Patterns and ecological determinants of woody plant height in eastern Eurasia and its relation to primary productivity显示文摘Aims Plant height is a key functional trait related to aboveground bio-mass,leaf photosynthesis and plant fitness.However,large-scale geographical patterns in community-average plant height(cAPH)of woody species and drivers of these patterns across different life forms remain hotly debated.Moreover,whether cAPH could be used as a predictor of ecosystem primary productivity is unknown.Methods We compiled mature height and distributions of 11422 woody spe-cies in eastern Eurasia,and estimated geographic patterns in cAPH for different taxonomic groups and life forms.then we evaluated the effects of environmental(including current climate and historical climate change since the Last Glacial Maximum(LGM))and evolutionary factors on cAPH.Lastly,we compared the predictive power of cAPH on primary productivity with that of LiDAR-derived canopy-height data from a global survey.Important Findings Geographic patterns of cAPH and their drivers differed among taxonomic groups and life forms.the strongest predictor for cAPH of all woody species combined,angiosperms,all dicots and deciduous dicots was actual evapotranspiration,while temperature was the strongest pre-dictor for cAPH of monocots and tree,shrub and evergreen dicots,and water availability for gymnosperms.Historical climate change since the LGM had only weak effects on cAPH.No phylogenetic signal was detected in family-wise average height,which was also unrelated to the tested environmental factors.Finally,we found a strong correlation between cAPH and ecosystem primary productivity.Primary productivity showed a weaker relationship with cAPH of the tallest species within a grid cell and no relationship with LiDAR-derived canopy height reported in the global survey.Our findings suggest that current climate rather than historical climate change and evolutionary history determine the geographical patterns in cAPH.However,the relative effects of climatic factors representing environmental energy and water availability on spatial variations of cAPH vary among plant life forms.Moreover,our results also suggest that cAPH can be used as a good predictor of ecosystem primary productivity. | Zhiheng Wang Yaoqi Li Xiangyan Su Shengli Tao Xiao Feng Qinggang Wang Xiaoting Xu Yunpeng Liu Sean T.Michaletz Nawal Shrestha Markku Larjavaara Brian J.Enquist | 2019 | Journal of Plant Ecology2019，12，5： | 0 |
| 14 | A malware propagation prediction model based on representation learning and graph convolutional networks显示文摘The traditional malware research is mainly based on its recognition and detection as a breakthrough point,without focusing on its propagation trends or predicting the subsequently infected nodes.The complexity of network structure,diversity of network nodes,and sparsity of data all pose difficulties in predicting propagation.This paper proposes a malware propagation prediction model based on representation learning and Graph Convolutional Networks(GCN)to address the aforementioned problems.First,to solve the problem of the inaccuracy of infection intensity calculation caused by the sparsity of node interaction behavior data in the malware propagation network,a mechanism based on a tensor to mine the infection intensity among nodes is proposed to retain the network structure information.The influence of the relationship between nodes on the infection intensity is also analyzed.Second,given the diversity and complexity of the content and structure of infected and normal nodes in the network,considering the advantages of representation learning in data feature extraction,the corresponding representation learning method is adopted for the characteristics of infection intensity among nodes.This can efficiently calculate the relationship between entities and relationships in low dimensional space to achieve the goal of low dimensional,dense,and real-valued representation learning for the characteristics of propagation spatial data.We also design a new method,Tensor2vec,to learn the potential structural features of malware propagation.Finally,considering the convolution ability of GCN for non-Euclidean data,we propose a dynamic prediction model of malware propagation based on representation learning and GCN to solve the time effectiveness problem of the malware propagation carrier.The experimental results show that the proposed model can effectively predict the behaviors of the nodes in the network and discover the influence of different characteristics of nodes on the malware propagation situation. | Tun Li Yanbing Liu Qilie Liu Wei Xu Yunpeng Xiao Hong Liu | 2023 | Digital Communications and Networks2023，9，5： | 0 |
| 15 | Anion regulating endows core@shell structured hollow carbon spheres@MoSxSe_(2−x)with tunable and boosted microwave absorption performance显示文摘Due to the good manipulation of electronic structure and defect,anion regulating should be a promising strategy to regulate the electromagnetic(EM)parameters and optimize the EM wave absorption performances(EMWAPs).In this work,we proposed a facile route for the large-scale production of core@shell structured hollow carbon spheres@MoSxSe_(2−x)(x=0.2,0.6,and 1.0)multicomponent nanocomposites(MCNCs)through a mild template method followed by hydrothermal process.The obtained results revealed that the designed hollow carbon spheres@MoSxSe_(2−x)MCNCs presented the improved sulfur vacancy concentration by regulating the x value from 0.2 to 1.0.The obtained hollow carbon spheres@MoSxSe_(2−x)MCNCs displayed the extraordinary comprehensive EMWAPs because of the introduced abundant defects and excellent interfacial effects.Furthermore,the as-prepared hollow carbon spheres@MoSxSe_(2−x)MCNCs presented the progressively improved comprehensive EMWAPs with the x value increasing from 0.2 to 1.0,which could be explained by their boosted polarization loss abilities and impedance matching characteristics originating from the enhanced sulfur vacancy concentration.Therefore,our findings not only demonstrated that the anion regulating was a promising method to optimize EM parameters and EMWAPs,but also provided a facile route to design the transition metal dichalcogenides-based MCNCs as the much more attractive candidates for highperformance microwave absorbers. | Junxiong Xiao Xiaosi Qi Lei Wang Tao Jing Jing-Liang Yang Xiu Gong Yanli Chen Yunpeng Qu Qiong Peng Wei Zhong | 2023 | Nano Research2023，16，4： | 0 |
| 16 | Genesis and metallogenic characteristic of Dongnan Cu–Mo deposit associated granitoids:LA-ICP-MS zircon U–Pb dating and isotope constraint from Zijinshan ore field in southeastern China显示文摘The Dongnan Cu–Mo deposit,located in the southeast of the Zijinshan ore field(the largest porphyry–epithermal system in Southeast China),represents the complex magmatic and metallogenesis events in the region.The petrogenesis and metallogenesis of granitoids from the deposit are not determined,especially the interactions between ore-bearing(granodiorite porphyry)and barren samples(granodiorite and diorite).In the paper,the whole rock geochemical features shared a similar affinity to the middle-lower content and revealed that they derived from partial melting of the Cathaysian basement with the contribution of mantle materials,even represented that they generated in the plate subduction;LA-ICP-MS zircon U–Pb ages show that these granodiorites,granodioritic porphyry and diorite,were generated during 114–103 Ma.The ore-bearing samples mostly presented ε_(Hf)(t)of negative values(peak value is-4 to-3)with old two-stage Hf model ages(t_(DM)^(2))(peak value is 1.10–1.15 Ga),while the barren sample showed slightly negative ε_(Hf)(t)(peak value is-1 to 0)values with young t_(DM)^(2)(peak value is 1.00–1.05 Ga).The value of zircon Ce^(4+)/Ce^(3+)ratio mostly higher than 450 was first verified for the ore-bearing samples in the Dongnan Cu–Mo deposit,and the values of ore-bearing were found to be higher than those from the barren,which suggests that the ore-bearing formed in more oxidized parental magma with higher oxygen fugacity.Based on the geochemical characteristic of the element and isotope,we concluded that the Early Cretaceous multiphases magmatic activities,low melting temperature and low pressure of pluton,and high oxygen fugacity of zircon,were the favorable conditions for metallogenesis of Dongnan Cu–Mo deposit. | Qifeng Xie Mingguo Zhai Yuanfeng Cai Yunpeng Dong Hong Zhang Aifang Xiao | 2023 | Acta Geochimica2023，42，2： | 0 |
| 17 | Economic potentials of energy storage technologies in electricity markets with renewables显示文摘The increasing penetration of renewables in power systems urgently entails the utilization of energy storage technologies.As the development of energy storage technologies depends highly on the profitability in electricity markets,to evaluate the economic potentials for various types of energy storage technologies under the compre-hensive market environment is of great significance.To this end,this study aims at conducting a quantitative analysis on the economic potentials for typical energy storage technologies by establishing a joint clearing model for electric energy and ancillary service(AS)markets considering the operating features of energy storage systems(ESSs).Furthermore,a test system is adopted for numerical analysis that accurately represents for the real-world operation characteristics of power systems in China,with which the market prices,and operation schedules and profitability of ESSs are comparatively studied.The proposed methodology and results could provide benefi-cial references for the modifications on electricity markets and the development of ESSs towards the increasing penetration of renewables in power systems. | Yunpeng Xiao Wenqi Wu Xiuli Wang Ying Qu Jianglong L | 2023 | Energy Storage and Saving2023，2，1： | 0 |
| 18 | AC vector magnetometer for space-based applications using low-resource magneto-impedance sensor显示文摘This study proposes a novel AC vector magnetometer developed using a low-resource magneto-impedance sensor for China’s Feng-Yun meteorological satellite(FY-3E).It was calibrated and characterized to determine its performance parameters.The total weight of the AC vector magnetometer is 51 g(the aluminum box excluded),while the total power consumption is 310 m W.The proposed AC vector magnetometer can detect magnetic field variations in the range of±1000 nT and noise power spectral density of≤50 pT/Hz^(1/2)@1 Hz.Furthermore,the proposed device has a maximum nonlinearity of≤0.71‰over the entire range and a nonorthogonality error of 3.07 nT or 0.15%(root mean square).The total dose hardness of the sensor is≥30 krad(Si).Furthermore,we propose the first survey results of a magnetometer equipped aboard a Chinese FY-3E satellite in a Sunsynchronous orbit.The data revealed that the AC vector magnetometer can detect transient physical signals such as quasistatic field-aligned currents(~50 nT)and waves at the auroral latitudes.These features render the proposed AC vector magnetometer suitable for space-based applications,particularly those involving the study of geomagnetic activity. | YU XiangQian HUANG Cong XIAO ChiJie LI JiaWei LIU Si WANG JingDong LI YunPeng QU YaNan WANG YongFu CHEN HongFei ZOU Hong SHI WeiHong ZONG QiuGang CHEN XiaoFei ZHANG XiaoXin ZONG WeiGuo WANG JingSong | 2023 | Science China(Technological Sciences)2023，66，12： | 0 |
| 19 | Bayonet-corpus:a trajectory prediction method based on bayonet context and bidirectional GRU显示文摘Predicting travel trajectory of vehicles can not only provide personalized services to users,but also have a certain effect on traffic guidance and traffic control.In this paper,we build a Bayonet-Corpus based on the context of traffic intersections,and use it to model a traffic network.Besides,Bidirectional Gated Recurrent Unit(Bi-GRU)is used to predict the sequence of traffic intersections in one single trajectory.Firstly,considering that real traffic networks are usually complex and disorder and cannot reflect the higher dimensional relationship among traffic intersections,this paper proposes a new traffic network modeling algorithm based on the context of traffic intersections:inspired by the probabilistic language model,a Bayonet-Corpus is constructed from traffic intersections in real trajectory sequence,so the high-dimensional similarity between corpus nodes can be used to measure the semantic relation of real traffic intersections.This algorithm maps vehicle trajectory nodes into a high-dimensional space vector,blocking complex structure of real traffic network and reconstructing the traffic network space.Then,the bayonets sequence in real traffic network is mapped into a matrix.Considering the trajectories sequence is bidirectional,and Bi-GRU can handle information from forward and backward simultaneously,we use Bi-GRU to bidirectionally model the trajectory matrix for the purpose of prediction. | Mengyang Huang Menggang Zhu Yunpeng Xiao Yanbing Liu | 2021 | Digital Communications and Networks2021，7，1： | 0 |
| 20 | A Mechanism of Intraday Market Design for Promoting Wind Power Integration显示文摘Wind power generation has been developing rapidly in recent years.Therefore,the mechanism for promoting wind power integration becomes increasingly important.In this paper,a novel mechanism of intraday market is proposed,which can utilize updating information of wind power and effectively exploit the shiftable load.The mechanism is compatible with the existing market framework,and promotes wind power producers(WPPs)to be more competitive in the market.Thus,the WPPs could make decisions for multiple market transactions in various trading timescales according to the market price.Moreover,the WPPs can optimize their decisions continuously in the intraday market at different time points in the model.The case study on IEEE-RTS verifies the proposed method is valid and feasible.It can support wind power integration and increase the benefit of the whole system as well. | Chao Du Xifan Wang Xiuli Wang Chengcheng Shao Yunpeng Xiao | 2018 | CSEE Journal of Power and Energy Systems2018，4，3： | 0 |
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