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| 1 | Dynamic route guidance algorithm based onartificial immune system显示文摘To improve the performance of the K-shortest paths search in intelligent traffic guidance systems,this paper proposes an optimal search algorithm based on the intelligent optimization search theory and the metaphor mechanism of vertebrate immune systems.This algorithm,applied to the urban traffic network model established by the node-expanding method,can expediently realize K-shortest paths search in the urban traffic guidance systems.Because of the immune memory and global parallel search ability from artificial immune systems,K shortest paths can be found without any repeat,which indicates evidently the superiority of the algorithm to the conventional ones.Not only does it perform a better parallelism,the algorithm also prevents premature phenomenon that often occurs in genetic algorithms.Thus,it is especially suitable for real-time requirement of the traffic guidance system and other engineering optimal applications.A case study verifies the efficiency and the practicability of the algorithm aforementioned. | Licai YANG Jie LIN Dewei WANG Lei JIA | 2007 | 控制理论与应用(英文版)2007，5，4： | 7 |
| 2 | Monitoring the Expression of Maize Genes in Developing Kernels under Droug ht Stress usingOligo-microarray显示文摘Preharvest aflatoxin contamination of grain grown on the US southeastern Coast Plain is provoked and aggravated by abiotic stress. The primary abiotic stress is drought along with high temperatures. The objectives of the present study were to monitor gene expression in developing kernels in response to drought stress and to identify drought-responsive genes for possible use in germplasm assessment. The maize breeding line Tex6 was used, and gene expression profiles were analyzed in developing kernels under drought stress verses well-watered conditions at the stages of 25, 30, 35, 40, 45 d after pollination (DAP) using the 70 mer maize oligo-arrays. A total of 9 573 positive array spots were detected with unique gene IDs, and 7 988 were common in both stressed and well-watered samples. Expression patterns of some genes in several stress response-associated pathways, including abscisic acid, jasmonic acid and phenylalanine ammonia-lyase, were examined, and these specific genes were responsive to drought stress positively. Real-time quantitative polymerase chain reaction validated microarray expression data. The comparison between Tex6 and B73 revealed that there were significant differences in specific gene expression, patterns and levels. Several defense-related genes had been downregulated, even though some defense-related or drought responsive genes were upregulated at the later stages. | Meng Luo Jia Liu R. Dewey Lee Brian T. Scully Baozhu Guo | 2010 | Journal of Integrative Plant Biology2010，52，12： | 5 |
| 3 | Reinforcement learning with actor-critic for knowledge graph reasoning显示文摘Dear editor,In recent years,with the development of artificial intelligence and deep learning techniques,knowledge graph(KG)is receiving unprecedented attention.Essentially,KG is a semantic network,which stores massive information structured as entityrelation pairs in a graphical model. | Linli ZHANG Dewei LI Yugeng XI Shuai JIA | 2020 | Science China(Information Sciences)2020，63，6： | 4 |
| 4 | Harvesting human kinematical energy based on liquid metal magnetohydrodynamics显示文摘 | Jia Dewei Liu Jing Zhou Yixin | 2009 | Physics Letters A2009，373，15： | 1 |
| 5 | Cell-delivery therapeutics for liver regeneration显示文摘 | Wenxia Zhang Lisa Tucker-Kellogg B.C. Narmada Lakshmi Venkatraman Shi Chang Yin Lu Nancy Tan Jacob K. White Ruirui Jia Sourav Saha Bhowmick Shali Shen C. Forbes Dewey Hanry Yu | 2010 | Advanced Drug Delivery Reviews2010，，7： | 1 |
| 6 | A constrained particle dynamics for continuum-particle hybrid method in micro- and nano-fluidics显示文摘连续统和粒子动力学的一个混合方法为 micro-fluidics, 和 nano 能流动被开发,在液体被分子的动力学(MD ) 在一个领域并且由 Navier 描述的地方司烧(NS ) 在另一个领域的方程。为了在重叠领域保证动量流动,连续统和分子的动力学的连续性,通过抑制粒子动力学被联合。抑制粒子动力学与虚拟抑制力量和虚拟增加的集体力量被构造。有非滑倒的任何一个的突然开始的 Couette 流动或滑动边界状况被用来测试混合方法。获得的结果在 slip 边界条件下面是与在非滑倒的边界条件和完整的 MD 模拟下面的分析答案一致的份量上,这被显示出。 | Jia Cui Guo Wei He Dewei Qi | 2006 | Acta Mechanica Sinica2006，22，6： | 1 |
| 7 | Cu_(2+1)O/CuO_(x)heterostructures promote the electrosynthesis of C^(2+)products from CO_(2)显示文摘Manipulating the oxidation state of Cu catalysts can significantly affect the selectivity and activity of electrocatalytic carbon dioxide reduction(CO_(2)RR).However,the thermodynamically favorable cathodic reduction to metallic states typically leads to catalytic deactivation.Herein,a defect construction strategy is employed to prepare crystalline/amorphous Cu_(2+1)O/CuO_(x)heterostructures(c/a-CuO_(x))with abundant Cu0 and Cuδ+(0<δ<1)sites for CO_(2)RR.The C^(2+)Faradaic efficiency of the heterostructured Cu catalyst is up to 81.3%,with partial current densities of 406.7 mA·cm−2.Significantly,real-time monitoring of the Cu oxidation state evolution by in-situ Raman spectroscopy confirms the stability of Cuδ+species under long-term high current density operation.Density functional theory(DFT)calculations further reveal that the adjacent Cu0 and Cuδ+sites in heterostructured c/a-CuO_(x)can efficiently reduce the energy barrier of CO coupling for C^(2+)products. | Rongbo Sun Cong Wei Zixiang Huang Shuwen Niu Xiao Han Cai Chen Haoran Wang Jia Song Jun-Dong Yi Geng Wu Dewei Rao Xusheng Zheng Yuen Wu Gongming Wang Xun Hong | 2023 | Nano Research2023，16，4： | 0 |
| 8 | Technical strategies for effective development and gas recovery enhancement of a large tight gas field: A case study of Sulige gas field, Ordos Basin, NW China显示文摘Based on the analysis of influencing factors of tight gas recovery and reservoir geological characteristics, the types of remaining tight gas reserves in the Sulige gas field are summarized from the perspective of residual gas genesis to estimate residual gas reserves of different types and provide corresponding technical strategies for enhancing gas recovery. The residual gas reserves in the Sulige gas field can be divided into four types: well pattern uncontrollable, horizontal well missing, imperfect perforation, blocking zone in composite sandbodies. Among them, the uncontrolled remaining gas of well pattern and blocking zone in composite sandbodies are the main body for tapping potential and improving recovery factor, and well pattern infilling adjustment is the main means. Taking into account reservoir geological characteristics, production dynamic response and economic benefit requirements, four methods for infilling vertical well pattern, i.e., quantitative geological model method, dynamic controlled range of gas well method, production interference method and economic and technical index evaluation method, as well as a design method of combined vertical well pattern with horizontal well pattern are established. Under certain economic and technological conditions, the reasonable well pattern density of enrichment zone of gas field is proved to be 4 wells per square kilometers, which can increase the recovery rate of the gas field from 32% to about 50%. Meanwhile, five matching techniques for enhancing gas recovery aimed at interlayer undeveloped residual gas have been formed, including tapping potential of old wells, technological technology optimizing of new wells, rational production system optimizing, drainage and gas producing, and reducing waste production, which could increase the recovery rate for 5% based on well pattern infilling. The research results provide effective support for the long-term stable production of 230×108 m3/a of the Sulige gas field and production growth in the Changqing gas area. | JI Guang JIA Ailin MENG Dewei GUO Zhi WANG Guoting CHENG Lihua ZHAO Xin | 2019 | Petroleum Exploration and Development2019，46，3： | 0 |
| 9 | A Deep Reinforcement Learning Bidding Algorithm on Electricity Market显示文摘In this paper,we design a new bidding algorithm by employing a deep reinforcement learning approach.Firms use the proposed algorithm to estimate conjectural variation of the other firms and then employ this variable to generate the optimal bidding strategy so as to pursue maximal profits.With this algorithm,electricity generation firms can improve the accuracy of conjectural variations of competitors by dynamically learning in an electricity market with incomplete information.Electricity market will reach an equilibrium point when electricity firms adopt the proposed bidding algorithm for a repeated game of power trading.The simulation examples illustrate the overall energy efficiency of power network will increase by 9.90%as the market clearing price decreasing when all companies use the algorithm.The simulation examples also show that the power demand elasticity has a positive effect on the convergence of learning process. | JIA Shuai GAN Zhongxue XI Yugeng LI Dewei XUE Shibei WANG Limin | 2020 | Journal of Thermal Science2020，29，5： | 0 |
| 10 | Improved Computational Model of Grid Cells Based on Column Structure显示文摘To simulate the firing pattern of biological grid cells,this paper presents an improved computational model of grid cells based on column structure.In this model,the displacement along different directions is processed by modulus operation,and the obtained remainder is associated with firing rate of grid cell.Compared with the original model,the improved parts include that:the base of modulus operation is changed,and the firing rate in firing field is encoded by Gaussian-like function.Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model.Besides,the firing pattern is badly influenced by the cumulative positioning error,but the computational model can also generate the regularly hexagonal firing pattern when the real-time positioning results are modified. | Yang Zhou Dewei Wu Weilong Li Jia Du | 2016 | Journal of Harbin Institute of Technology(New Series)2016，23，3： | 0 |
| 11 | Model of Autonomous Positioning Through Associating Environment Memory Information显示文摘A model of autonomous positioning through associating environment memory information is presented for unmanned combat aerial vehicle(UCAV).The representation strategy of environment by constructing place cells is used to produce the memory information,and the landmarks in memory are retrieved through perceiving and processing the environment.During UCAV′s flight,the landmarks are obtained in real-time and are matched with the landmarks in memory.Then,the idea of ranging positioning is adopted to calculate UCAV′s location based on the corresponding relationship between current obtained landmarks and the memorized landmarks.Simulation shows that the proposed model can realize autonomous positioning in the memorized environment,and the positioning performance is well when the sensor has a high precision. | Du Jia Wu Dewei Zhou Yang | 2016 | Transactions of Nanjing University of Aeronautics and Astronautics2016，33，5： | 0 |
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