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Power-balancing Instantaneous Optimization Energy Management for a Novel Series-parallel Hybrid Electric Bus

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Chinese Journal of Mechanical Engineering 2012年第6期25卷 1161-1170页

作者： SUN Dongye LIN Xinyou qin Datong deng Tao State Key Laboratory of Mechanical Transmission Chongqing UniversityChongqing 40030China

Energy management（EM） is a core technique of hybrid electric bus（HEB） in order to advance fuel economy performance optimization and is unique for the corresponding configuration. There are existing algorithms of control strategy seldom take battery power management into account with international combustion engine power management. In this paper, a type of power-balancing instantaneous optimization（PBIO） energy management control strategy is proposed for a novel series-parallel hybrid electric bus. According to the characteristic of the novel series-parallel architecture, the switching boundary condition between series and parallel mode as well as the control rules of the power-balancing strategy are developed. The equivalent fuel model of battery is implemented and combined with the fuel of engine to constitute the objective function which is to minimize the fuel consumption at each sampled time and to coordinate the power distribution in real-time between the engine and battery. To validate the proposed strategy effective and reasonable, a forward model is built based on Matlab/Simulink for the simulation and the dSPACE autobox is applied to act as a controller for hardware in-the-loop integrated with bench test. Both the results of simulation and hardware-in-the-loop demonstrate that the proposed strategy not only enable to sustain the battery SOC within its operational range and keep the engine operation point locating the peak efficiency region, but also the fuel economy of series-parallel hybrid electric bus（SPHEB） dramatically advanced up to 30.73% via comparing with the prototype bus and a similar improvement for PBIO strategy relative to rule-based strategy, the reduction of fuel consumption is up to 12.38%. The proposed research ensures the algorithm of PBIO is real-time applicability, improves the efficiency of SPHEB system, as well as suite to complicated configuration perfectly.

关键词： city bus hybrid electric powertrain instantaneous optimization energy management control strategy

Radar cross section of arbitrary polished spheres at terahertz frequencies

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Journal of Systems Engineering and Electronics 2017年第6期28卷 1072-1077页

作者： Ruijun Wang Bin deng Hongqiang Wang Yuliang qin College of Electronic Science and Engineering National University of Defense TechnologyChangsha 410073China Uint 95876 of PLA Zhangye 734100China

We develop an efficient method for polished metallic sphere’s scattering prediction in terahertz band when its frequency dispersion property is considered. By deducing scattering solution of the lossy metallic sphere, the radar cross section(RCS)of different metallic spheres is given at terahertz frequencies. The investigation of the RCS of polished metallic spheres shows the normalized RCS is always same to the metals’ normal incidence reflectivity when the sphere becomes electrically large. The metals which have high reflectivity(such as Al, Cu, Ag and Au) show that the corresponding RCS of the spheres is almost πa2 in terahertz band. The sphere’s RCS of the transition metal such as Fe begins to decrease obviously since the far infrared.

关键词： terahertz radar cross section(RCS) sphere Drude model frequency dispersion

Fertility control of Rattus nitidus using quinestrol:effects on reproductive organs and social behavior

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Integrative Zoology 2013年第1期8卷 9-17页

作者： Quansheng LIU Jiao qin qin CHEN deng WANG Dazhao SHI Guangdong Entomological Institute GuangzhouChina College of Agronomy and Biotechnology China Agricultural UniversityBeijingChina Guangdong Provincial Public Laboratory on Wild Animal Conservation and Management GuangzhouChina

Fertility control has been identified by studies in the laboratory and the field as a more appropriate and long-term control strategy for rodent pests than lethal *** this study,we investigated the effects of quinestrol on mass of reproductive organs and on social behaviors in female and male Himalayan field rats(Rattus nitidus).A total of 16 adult females and 16 adult males were randomly assigned to 4 *** male and one female group were fed rice with 0.005%quinestrol by weight for 7 days,and another 2 groups were fed rice *** 7 days,rats were assigned to 10 min dyadic encounters between groups,and investigation,aggression,defense and attack latency were *** animals were killed on day 10,and reproductive organs were dissected and *** encounter data showed that there were obvious changes in social behaviors of quinestrol-treated *** significantly inhibited the investigative behavior of quinestrol-treated males toward control females in Rattus nitidus,but seldom affected investigation between control males and quinestrol-treated *** of control females toward quinestrol-treated males was higher than that of quinestrol-treated females,and defense of quinestrol-treated males toward control females was more remarkable than that of control *** remarkably decreased wet masses of epididymis and spermotophore in males and ovaries in females,but had no effect on wet masses of testes and uteri after quinestrol *** results indicate that the anti-fertility effects of quinestrol on *** are attributed to not only suppressing reproductive organs but also impacting social behaviors associated with territory defense and mate choice.

关键词： fertility control quinestrol Rattus nitidus rodent pest social behavior

Neural network study of the nuclear ground-state spin distribution within a random interaction ensemble

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Nuclear Science and Techniques 2024年第3期35卷 216-227页

作者： deng Liu Alam Noor A Zhen-Zhen qin Yang Lei School of Mathematics and Physics Southwest University of Science and TechnologyMianyang 621010China School of Nuclear Science and Technology Southwest University of Science and TechnologyMianyang 621010China

The distribution of the nuclear ground-state spin in a two-body random ensemble(TBRE)was studied using a general classification neural network(NN)model with two-body interaction matrix elements as input features and the corresponding ground-state spins as labels or output *** quantum many-body system problem exceeds the capability of our optimized NNs in terms of accurately predicting the ground-state spin of each sample within the ***,our NN model effectively captured the statistical properties of the ground-state spin because it learned the empirical regularity of the ground-state spin distribution in TBRE,as discovered by physicists.

关键词： Neural network Two-body random ensemble Spin distribution of nuclear ground state

Differentiation of Human Bone Marrow Stromal Cells into Neural-Like Cells Induced by Sodium Ferulate in vitro

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Cellular & Molecular Immunology 2005年第3期2卷 225-229页

作者： Yang Wang Zhifeng deng Xianliang Lai Wei tu Institute of Urology Jiangxi Medical College Nanchang 330006 China Department of Neurosurgery Second Affiliated Hospital of Jiangxi MedicalCollege Nanchang 330006 China

Human marrow stromal cells （hMSCs） are multipotential stem cells, capable of differentiating into bone, cartilage, fat and muscle. Several recent reports demonstrated that hMSCs have been also differentiated into neural cells. However, only a few reported inducers are applicable for clinical use. This work is to explore the effects of sodium ferulate （SF） on differentiation of hMSCs into neural cells in vitro. We found that hMSCs could be induced to the cells with typical neural morphology when cultured with SF. The cells express neural proteins, such as nestin, neuron-specific enolase （NSE） and glial fibrillary acidic protein （GFAP）. About 30% of the hMSC-derived cells expressed nestin when cultured with SF for 3 h, but no expression was detected after 24 h. The percentages of positive cells for NSE or GFAP were about 67% and 39% separately at 6 h, and reached the plateau phage after treatment with SF for 3 days. The data suggest that SF can induce hMSCs to differentiate into neural-like cells in vitro. Cellular ＆ Molecular Immunology. 2005;2（3）：225-229.

关键词： marrow stromal cell sodium ferulate neural cell

A Fragment Substitution in Promoter of MS92/PTC1 Causes Male Sterility in Rice

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Rice science 2020年第5期27卷 396-404,I0018-I0023页

作者： qin Peng deng Luchang Chen Weilan Huang Juan Fan Shijun tu Bin Tan Jun Yuan Hua Wang Yuping Ma Bingtian Li Shigui Rice Research Institute/State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China Sichuan Agricultural UniversityChengdu 611130China Crop Research Institute Sichuan Academy of Agricultural SciencesChengdu 610066China Characteristic Crop Research Institute Chongqing Academy of Agricultural SciencesChongqing 402160China

Persistent tapetal cell1(PTC1) plays a curial role in pollen development, and is thought to function as a transcriptional activator in rice. However, the molecular mechanism of PTC1 in regulating pollen development and its cis-elements are not well understood. We identified a novel weak male sterility mutant(ms92) which exhibited expanded tapetum and shrink pollen grains. Map-based cloning and allelic analysis suggested that the male sterility of ms92 was caused by a DNA fragment substitution in the promoter of PTC1. The decreased expression of MS92/PTC1 in ms92 and cis-element analysis indicated that the substituted sequence contained several potential binding cis-element of negative feedback. MS92/PTC1 was specifically expressed in tapetum and microspores at the young microspore stage, and its protein was localized in nucleus. We further found that MS92/PTC1 functions as a transcription activator by recognizing H3K4me3. Transcriptomic analysis revealed that a number of genes involved in tapetum degeneration and pollen wall formation were down-regulated in ms92, which are the potential targets of MS92/PTC1. The substitution fragment in MS92/PTC1 promoter was essential for pollen development, and we provided a novel mutant for further identifying the cis-elements in promoter and the molecular network of MS92/PTC1.

关键词： rice MS92/PTC1 plant homeodomain finger cis-element male sterility anther

Deep Reinforcement Learning Based Decision‑Making Strategy of Autonomous Vehicle in Highway Uncertain Driving Environments

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Automotive Innovation 2023年第3期6卷 438-452页

作者： Huifan deng Youqun Zhao Qiuwei Wang Anh‑tu Nguyen Department of Vehicle Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Laboratory LAMIH‑CNRS UMR 8201Universite Polytechnique Hauts-de-France59300 ValenciennesHauts‑de‑FranceFrance INSA Hauts-de-France 59300 ValenciennesFrance

Uncertain environment on multi-lane highway,e.g.,the stochastic lane-change maneuver of surrounding vehicles,is a big challenge for achieving safe automated highway *** improve the driving safety,a heuristic reinforcement learning decision-making framework with integrated risk assessment is ***,the framework includes a long short-term memory model to predict the trajectory of surrounding vehicles and a future integrated risk assessment model to estimate the possible driving ***,a heuristic decaying state entropy deep reinforcement learning algorithm is introduced to address the exploration and exploitation dilemma of reinforcement ***,the framework also includes a rule-based vehicle decision model for interaction decision problems with surrounding *** proposed framework is validated in both low-density and high-density traffic *** results show that the traffic efficiency and vehicle safety are both improved compared to the common dueling double deep Q-Network method and rule-based method.

关键词： Automated driving Decision making Uncertain driving environments Reinforcement learning Multi-lane traffic Integrated risk assessment

A New Loop Algebra and Its Corresponding Multi-component Integrable Hierarchy

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Communications in Theoretical Physics 2006年第3期45卷 385-388页

作者： YAO Yu-qin CHEN deng-Yuan Department of Mathematics Shanghai University Shanghai 200444 China

A type of new loop algebra GM is constructed by making use of the concept of cycled numbers. As its application, an isospectral problem is designed and a new multi-component integrable hierarchy with multi-potential f... 详细信息

关键词： cycled numbers loop algebra multi-component integrable hierarchy

Automated identification of retinopathy of prematurity by image-based deep learning

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Eye and Vision 2020年第4期7卷 379-390页

作者： Yan Tong Wei Lu qin-qin deng Changzheng Chen Yin Shen Eye Center Renmin Hospital of Wuhan UniversityWuhan 430060HubeiChina Medical Research Institute Wuhan UniversityWuhanHubeiChina

Background:Retinopathy of prematurity(ROP)is a leading cause of childhood blindness worldwide but can be a treatable retinal disease with appropriate and timely *** study was performed to develop a robust intelligent system based on deep learning to automatically classify the severity of ROP from fundus images and detect the stage of ROP and presence of plus disease to enable automated diagnosis and further ***:A total of 36,231 fundus images were labeled by 13 licensed retinal experts.A 101-layer convolutional neural network(ResNet)and a faster region-based convolutional neural network(Faster-RCNN)were trained for image classification and *** applied a 10-fold cross-validation method to train and optimize our *** accuracy,sensitivity,and specificity were assessed in a four-degree classification task to evaluate the performance of the intelligent *** performance of the system was compared with results obtained by two retinal ***,the system was designed to detect the stage of ROP and presence of plus disease as well as to highlight lesion regions based on an object detection network using ***:The system achieved an accuracy of 0.903 for the ROP severity ***,the accuracies in discriminating normal,mild,semi-urgent,and urgent were 0.883,0.900,0.957,and 0.870,respectively;the corresponding accuracies of the two experts were 0.902 and ***,our model achieved an accuracy of 0.957 for detecting the stage of ROP and 0.896 for detecting plus disease;the accuracies in discriminating stage I to stage V were 0.876,0.942,0.968,0.998 and 0.999,***:Our system was able to detect ROP and differentiate four-level classification fundus images with high accuracy and *** performance of the system was comparable to or better than that of human experts,demonstrating that this system could be used to support clinical decisions.

关键词： Deep learning Retinopathy of prematurity Artificial intelligence Fundus image