|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Intelligent and connected vehicles: Current status and future perspectives显示文摘Intelligent connected vehicles(ICVs) are believed to change people's life in the near future by making the transportation safer,cleaner and more comfortable. Although many prototypes of ICVs have been developed to prove the concept of autonomous driving and the feasibility of improving traffic efficiency, there still exists a significant gap before achieving mass production of high-level ICVs. The objective of this study is to present an overview of both the state of the art and future perspectives of key technologies that are needed for future ICVs. It is a challenging task to review all related works and predict their future perspectives, especially for such a complex and interdisciplinary area of research. This article is organized to overview the ICV key technologies by answering three questions: what are the milestones in the history of ICVs; what are the electronic components needed for building an ICV platform; and what are the essential algorithms to enable intelligent driving? To answer the first question, the article has reviewed the history and the development milestones of ICVs. For the second question, the recent technology advances in electrical/electronic architecture, sensors, and actuators are presented. For the third question, the article focuses on the algorithms in decision making, as the perception and control algorithm are covered in the development of sensors and actuators. To achieve correct decision-making, there exist two different approaches: the principle-based approach and data-driven approach. The advantages and limitations of both approaches are explained and analyzed. Currently automotive engineers are concerned more with the vehicle platform technology, whereas the academic researchers prefer to focus on theoretical algorithms. However, only by incorporating elements from both worlds can we accelerate the production of high-level ICVs. | YANG DianGe JIANG Kun ZHAO Ding YU ChunLei CAO Zhong XIE ShiChao XIAO ZhongYang JIAO XinYu WANG SiJia ZHANG Kai | 2018 | Science China(Technological Sciences)2018，61，10： | 31 |
| 2 | Application of deep learning in ecological resource research:Theories, methods, and challenges显示文摘Ecological resources are an important material foundation for the survival,development,and self-realization of human beings.In-depth and comprehensive research and understanding of ecological resources are beneficial for the sustainable development of human society.Advances in observation technology have improved the ability to acquire long-term,cross-scale,massive,heterogeneous,and multi-source data.Ecological resource research is entering a new era driven by big data.Traditional statistical learning and machine learning algorithms have problems with saturation in dealing with big data.Deep learning is a method for automatically extracting complex high-dimensional nonlinear features,which is increasingly used for scientific and industrial data processing because of its ability to avoid saturation with big data.To promote the application of deep learning in the field of ecological resource research,here,we first introduce the relationship between deep learning theory and research on ecological resources,common tools,and datasets.Second,applications of deep learning in classification and recognition,detection and localization,semantic segmentation,instance segmentation,and graph neural network in typical spatial discrete data are presented through three cases:species classification,crop breeding,and vegetation mapping.Finally,challenges and opportunities for the application of deep learning in ecological resource research in the era of big data are summarized by considering the characteristics of ecological resource data and the development status of deep learning.It is anticipated that the cooperation and training of cross-disciplinary talents may promote the standardization and sharing of ecological resource data,improve the universality and interpretability of algorithms,and enrich applications with the development of hardware. | Qinghua GUO Shichao JIN Min LI Qiuli YANG Kexin XU Yuanzhen JU Jing ZHANG Jing XUAN Jin LIU Yanjun SU Qiang XU Yu LIU | 2020 | Science China Earth Sciences2020，63，10： | 7 |
| 3 | Catalytic performance of hierarchical H-ZSM-5/MCM-41 for methanol dehydration to dimethyl ether显示文摘Micro-mesoporous composite molecular sieves H-ZSM-5/MCM-41 were prepared by the hydrothermal technique with alkali-treated H-ZSM-5zeolite as the source and characterized by scanning electron microscopy,transmission electron microscopy,energy dispersive spectroscopy,X-ray diffraction,N2 adsorption-desorption measurement and NH3 temperature-programmed desorption.The catalytic performances for the methanol dehydration to dimethyl ether over H-ZSM-5/MCM-41 were evaluated.Among these catalysts,H-ZSM-5/MCM-41 prepared with NaOH dosage (nNa/nSi) varying from 0.4 to 0.47 presented excellent catalytic activity with more than 80%methanol conversion and 100%dimethyl ether selectivity in a wide temperature range of 170—300℃,and H-ZSM-5/MCM-41 prepared with nNa/nSi=0.47 showed constant methanol conversion of about 88.7%,100% dimethyl ether selectivity and excellent lifetime at 220℃.The excellent catalytic performances were due to the highly active and uniform acidic sites and the hierarchical porosity in the micro-mesoporous composite molecular sieves.The catalytic mechanism of H-ZSM-5/MCM-41 for the methanol dehydration to dimethyl ether process was also discussed. | Yu Sang Hongxiao Liu Shichao He Hansheng Li Qingze Jiao Qin Wu Kening Sun | 2013 | Journal of Energy Chemistry2013，22，5： | 7 |
| 4 | A Quantitative Evaluation of Shale Gas Content in Different Occurrence States of the Longmaxi Formation: A New Insight from Well JY-A in the Fuling Shale Gas Field,Sichuan Basin显示文摘Comprehensive quantitative evaluation of shale gas content and the controlling factors in different occurrence states is of great significance for accurately assessing gas-bearing capacity and providing effective well-production strategies. A total of 122 core samples from well JY-A in the Fuling shale gas field were studied to reveal the characteristics of S_1 l shale,15 of which were selected to further predict the shale gas content in different occurrence states, which are dependent on geological factors in the thermal evolution process. Geological parameters were researched by a number of laboratory programs, and the factors influential in controlling shale gas content were extracted by both PCA and GRA methods and prediction models were confirmed by the BE method using SPSS software. Results reveal that the adsorbed gas content is mainly controlled by TOC, Ro, SSA, PD and pyrite content, and the free gas content is mainly controlled by S_2, quartz content, gas saturation and formation pressure for S_1 l in well JY-A. Three methods, including the on-site gas desorption method, the empirical formula method, and the multiple regression analysis method were used in combination to evaluate the shale gas capacity of well JY-A, all of which show that the overall shale gas content of well JY-A is in the range of 2.0–5.0 m^3/t and that the free gas ratio is about 50%, lower than that of well JY-1. Cause analysis further confirms the tectonics and preservation conditions of S_1 l in the geological processes, especially the influence of eastern boundary faults on well JY-A, as the fundamental reasons for the differences in shale gas enrichment in the Jiaoshiba area. | TANG Ling SONG Yan LI Qianwen PANG Xiongqi JIANG Zhenxue LI Zhuo TANG Xianglu YU Hailong SUN Yue FAN Shichao ZHU Lin | 2019 | Acta Geologica Sinica(English Edition)2019，93，2： | 7 |
| 5 | Hot deformation behavior and workability characteristic of a fine-grained Mg–8Sn–2Zn–2Al alloy with processing map显示文摘The hot deformation behavior of a fine-grained Mg–8 Sn–2 Zn–2 Al(TZA822, in wt%) alloy was investigated in the temperature range of 150–350°C and the strain rate of 0.01–10 s^-1 employing thermomechanical simulator. In most of the cases, the material showed typical dynamic recrystallization(DRX) features i.e., a signal peak value followed by a gradual decrease or to reach a steady state. The work hardening rate was found to increase with decreasing temperature and increasing strain rate, while strain rates had great effects on work hardening behavior. Meanwhile, the constitutive analysis indicated that cross-slip of dislocations was likely to be the dominant deformation mechanism. In addition, the processing map at the strain of 0.1–0.7 showed two stability domains with high power dissipation efficiencies and the optimum hot working parameters for the studied alloy was determined to be 350°C/0.01 s^-1 and 350°C/10 s^-1, at which continuous DRX(CDRX) and discontinuous DRX(DDRX) as main softening mechanism. The instability regions occurred at 200–250°C/10 s^-1 and the main flow instability mechanism was twinning and/or flow localization bands, which were prone to induce cracks and caused in-consistent mechanical properties of the alloy. | Weili Cheng Yang Bai Shichao Ma Lifei Wang Hongxia Wang Hui Yu | 2019 | Journal of Materials Science & Technology2019，35，6： | 5 |
| 6 | Energy efficient downlink MIMO transmission with linear precoding显示文摘Energy efficiency (EE) is becoming increasingly important for wireless cellular networks. This paper addresses EE optimization problems in downlink multiuser MIMO systems with linear precoding. Referring to different active transmit/receive antenna sets and transmission schemes as different modes, we propose a joint bandwidth/power optimization and mode switching scheme to maximize EE. With a specific mode, we prove that the optimal bandwidth and transmit power is either full transmit power or full bandwidth. After deriving the optimal bandwidth and transmit power, we further propose mode switching to select the mode with optimal EE. Since the optimal mode switching, i.e. exhaustive search, is too complex to implement, an alternative heuristic method is developed to decrease the complexity through reducing the search size and avoiding the EE calculation during each search. Through simulations, we demonstrate that the proposed methods can significantly improve EE and the performance is similar to the optimal exhaustive search. | XU Jie LI ShiChao QIU Ling SLIMANE Ben S. YU ChengWen | 2013 | Science China(Information Sciences)2013，56，2： | 4 |
| 7 | Blockchain-driven supply chain finance solution for small and medium enterprises显示文摘Blockchain has attracted much attention in recent years with the development of cryptocurrency and digital assets.As the underlying technology of cryptocurrency,blockchain has numerous benefits,such as decentralization,collective maintenance,tamper-resistance,traceability,and anonymity.The potential of the blockchain technology(BT)is widely recognized in the financial field.Although some scholars have proposed the combination of blockchain and supply chain finance(SCF),the details of this combination is rarely mentioned.This study first analyzes the coupling between SCF and blockchain technology.Second,the conceptual framework of blockchain-driven SCF platform(BcSCFP)is presented.Third,the operation process of three SCF models on the BcSCFP is proposed.Finally,a case study combined with actual events is conducted.This paper has a positive practical significance in the operation and management of banks and loan enterprises. | Jian LI Shichao ZHU Wen ZHANG Lean YU | 2020 | Frontiers of Engineering Management2020，7，4： | 3 |
| 8 | Evidence for a Dirac nodal-line semimetal in SrAs_3显示文摘Dirac nodal-line semimetals with the linear bands crossing along a line or loop, represent a new topological state of matter. Here, by carrying out magnetotransport measurements and performing first-principle calculations, we demonstrate that such a state has been realized in high-quality single crystals of SrAs_3.We obtain the nontrivial ∏ Berry phase by analysing the Shubnikov-de Haas quantum oscillations. We also observe a robust negative longitudinal magnetoresistance induced by the chiral anomaly.Accompanying first-principles calculations identifies that a single hole pocket enclosing the loop nodes is responsible for these observations. | Shichao Li Zhaopeng Guo Dongzhi Fu Xing-Chen Pan Jinghui Wang Kejing Ran Song Bao Zhen Ma Zhengwei Cai Rui Wang Rui Yu Jian Sun Fengqi Song Jinsheng Wen | 2018 | Science Bulletin2018，63，9： | 2 |
| 9 | An efficient strategy for mining exceptions in multi-databases 显示文摘 | Zhang Shichao Zhang Chengqi Jeffrey Xu Yu | 2004 | Information Sciences2004，165，12： | 1 |
| 10 | Anefficient strategy for mining exceptions in multi-database显示文摘 | Zhang Shichao Zhang Chengqi Yu J X | 2004 | Information Sciences2004，165，： | 1 |
| 11 | Chalcocite(bio)hydrometallurgy-current state,mechanism,and future directions:A review显示文摘There has been a strong interest in technologies suited for mining and processing of low-grade ores because of the rapid depletion of mineral resources in the world.In most cases,the extraction of copper from such raw materials is achieved by applying the leaching procedures.However,its low extraction efficiency and the long extraction period limit its large-scale commercial applications in copper recovery,even though bioleaching has been widely employed commercially for heap and dump bioleaching of secondary copper sulfide ores.Overcoming the technical challenges requires a better understanding of leaching kinetics and on-site microbial activities.Herein,this paper reviews the current status of main commercial biomining operations around the world,identifies factors that affect chalcocite dissolution both in chemical leaching and bioleaching,summarizes the related kinetic research,and concludes with a discussion of two on-site chalcocite heap leaching practices.Further,the challenges and innovations for the future development of chalcocite hydrometallurgy are presented in the end. | Shichao Yu Rui Liao Baojun Yang Chaojun Fang Zhentang Wang Yuling Liu Baiqiang Wu Jun Wang Guanzhou Qiu | 2022 | Chinese Journal of Chemical Engineering2022，35，1： | 1 |
| 12 | GaN-based LEDs for light communication显示文摘Rapid improvement in the efficiency of GaN-based LEDs not only speed up its applications for general illumination, but offer the possibilities for data transmission. This review is to provide an overview of current progresses of GaN-based LEDs for light communications. The modulation bandwidth of GaN-based LEDs has been first improved by optimizing the LED epilayer structures and the modulation bandwidth of 73 MHz was achieved at the driving current density of 40 A/cm2 by changing the multi-quantum well structures. After that, in order to increase the current density tolerance, different parallel flip-chip micro-LED arrays were fabricated. With a high injected current density of ~7900 A/cm2, a maximum modulation bandwidth of ~227 MHz was obtained with optical power greater than 30 mW. Besides the increase of carrier concentrations, the radiative recombination coefficient B was also enhanced by modifying the photon surrounding environment based on some novel nanostructures such as resonant cavity, surface plasmon, and photonic crystals. The optical 3 dB modulation bandwidth of GaN-based nanostructure LEDs with Ag nanoparticles was enhanced by 2 times compared with GaN-based nanostructure LEDs without Ag nanoparticles.Our results demonstrate that using the QW-SP coupling can effectively help to enhance the carrier spontaneous emission rate and also increase the modulation bandwidth for LEDs, especially for LEDs with high intrinsic IQE. In addition, we discuss the progress of the faster color conversion stimulated by GaN-based LEDs. | LiXia Zhao ShiChao Zhu ChunHui Wu Chao Yang ZhiGuo Yu Hua Yang Lei Liu | 2016 | Science China(Physics,Mechanics & Astronomy)2016，59，10： | 1 |
| 13 | An efficient strategy for mining exceptions in multi-databases 显示文摘 | Shichao Zhang Chengqi Zhang Jeffrey Xu Yu | 2004 | Information Siciences2004，165，12： | 1 |
| 14 | Preparation and electrochemical properties of polysulfide polypyrrole 显示文摘 | Zhang Shichao Zhang Lan Yu Jinhua | 2011 | Journal of Power Sources2011，196，10： | 1 |
| 15 | Catalytic mechanism of manganese ions and visible light on chalcopyrite bioleaching in the presence of Acidithiobacillus ferrooxidans显示文摘The bioleaching of chalcopyrite is low cost and environmentally friendly,but the leaching rate is low.To explore the mechanism of chalcopyrite bioleaching and improve its leaching rate,the effect and mechanism of manganese ions(Mn^(2+))and visible light on chalcopyrite mediated by Acidithiobacillus ferrooxidans(A.ferrooxidans)were discussed.Bioleaching experiments showed that when both Mn^(2+)and visible light were present,the copper extraction was 14.38%higher than that of the control system(without Mn^(2+)and visible light).Moreover,visible light and Mn^(2+)promoted the growth of A.ferrooxidans.Scanning electron microscopy(SEM)and energy dispersive spectrometer(EDS)analysis revealed that Mn^(2+)promoted the formation of extracellular polymeric substance(EPS)on the surface of chalcopyrite,changed the morphology of A.ferrooxidans,enhanced the adsorption of bacteria on chalcopyrite surface with light illumination,and thus promoted the bioleaching of chalcopyrite.UV–vis absorbance spectra indicated that Mn^(2+)promoted the response of chalcopyrite to visible light and enhanced the catalytic effect of visible light on chalcopyrite bioleaching.Based on X-ray photoelectron spectroscopy(XPS),the relevant sulfur speciation of chalcopyrite before and after bioleaching were analyzed and the results revealed that visible light and Mn^(2+)promoted chalcopyrite bioleaching by reducing the formation of passivation layer(S_(n)^(2-)/S0).Investigation into electrochemical results further indicated that Mn^(2+)and visible light improved the electrochemical activity of chalcopyrite,thus increasing the bioleaching rate. | Chunxiao Zhao Baojun Yang Rui Liao Maoxin Hong Shichao Yu Jun Wang Guanzhou Qiu | 2022 | Chinese Journal of Chemical Engineering2022，35，1： | 1 |
| 16 | Baicalein inhibits SARS-CoV-2/VSV replication with interfering mitochondrial oxidative phosphorylation in a mPTP dependent manner显示文摘Dear Editor,The ongoing outbreak of pneumonia(coronavirus disease 2019,COVID-19)caused by severe acute respiratory syndrome coronavirus-2(SARS-CoV-2)has become a global health emergency.Scutellaria Baicalensis Georgi extract,a Traditional Chinese Medicine(TCM)widely used for treating infection of multiple different viruses,1 also shows beneficial effects when treating COVID-19.However,underline mechanism for broad antiviral activity of Scutellaria B.extract remains elusive,which limits its further application. | Shichao Huang Yu’e Liu Yanan Zhang Ru Zhang ChengJie Zhu Lihong Fan Gang Pei Bo Zhang Yufeng Shi | 2020 | Signal Transduction and Targeted Therapy2020，5，1： | 1 |
| 17 | An efficient strategy for mining exceptions in multi-databases显示文摘 | Zhang Shichao Zhang Chengqi Jeffrey Xu Yu | 2004 | Information Siciences2004，165，12： | 1 |
| 18 | A New Population Initialization of Particle Swarm Optimization Method Based on PCA for Feature Selection显示文摘In many fields such as signal processing,machine learning,pattern recognition and data mining,it is common practice to process datasets containing huge numbers of features.In such cases,Feature Selection(FS)is often involved.Meanwhile,owing to their excellent global search ability,evolutionary computation techniques have been widely employed to the FS.So,as a powerful global search method and calculation fast than other EC algorithms,PSO can solve features selection problems well.However,when facing a large number of feature selection,the efficiency of PSO drops significantly.Therefore,plenty of works have been done to improve this situation.Besides,many studies have shown that an appropriate population initialization can effectively help to improve this problem.So,basing on PSO,this paper introduces a new feature selection method with filter-based population.The proposed algorithm uses Principal Component Analysis(PCA)to measure the importance of features first,then based on the sorted feature information,a population initialization method using the threshold selection and the mixed initialization is proposed.The experiments were performed on several datasets and compared to several other related algorithms.Experimental results show that the accuracy of PSO to solve feature selection problems is significantly improved after using proposed method. | Shichao Wang Yu Xue Weiwei Jia | 2021 | Journal on Big Data2021，3，1： | 1 |
| 19 | Sulfation Behavior of CuO/7-AI203 Sorbent for the Removal of S()2 from Flue Gas显示文摘 | Yu Qingchun Zhang Shichao Wang Xindong | 2008 | Journal of University of Science and Technology Beijing Mineral Metallurgy Material2008，15，4： | 1 |
| 20 | Synthesis and Application of Tetraphosphane Ligands in Rhodium-Cata- lyzed Hydroformylation of Terminal Olefins: High Regiose- lectivity at High Temperature 显示文摘 | Yu Shichao Zhang Xiaowei Yan Yongjun | 2010 | Chem Eur J2010，16，16： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员