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| 1 | Detecting human-object interaction with multi-level pairwise feature network显示文摘Human–object interaction(HOI)detection is crucial for human-centric image understanding which aims to infer human,action,object triplets within an image.Recent studies often exploit visual features and the spatial configuration of a human–object pair in order to learn the action linking the human and object in the pair.We argue that such a paradigm of pairwise feature extraction and action inference can be applied not only at the whole human and object instance level,but also at the part level at which a body part interacts with an object,and at the semantic level by considering the semantic label of an object along with human appearance and human–object spatial configuration,to infer the action.We thus propose a multi-level pairwise feature network(PFNet)for detecting human–object interactions.The network consists of three parallel streams to characterize HOI utilizing pairwise features at the above three levels;the three streams are finally fused to give the action prediction.Extensive experiments show that our proposed PFNet outperforms other state-of-the-art methods on the VCOCO dataset and achieves comparable results to the state-of-the-art on the HICO-DET dataset. | Hanchao Liu Tai-Jiang Mu Xiaolei Huan | 2021 | Computational Visual Media2021，7，2： | 2 |
| 2 | The effect of COD/N ratio on process performance and membrane fouling in a submerged bioreactor显示文摘 | Suping Feng Nannan Zhang Hanchao Liu Xiaolin Du Yongli Liu Hai Lin | 2011 | Desalination2011，，： | 1 |
| 3 | Mitochondria are involved in apoptosis induced by ultraviolet radiation in lepidopteran Spodoptera fitura cell line显示文摘线粒体涉及哺乳动物的细胞和甚至单个房间的有机体的 apoptosis,但是线粒体没在象 S2 和 BG2 细胞行那样的有教养的果蝇细胞在 apoptosis 被要求。线粒体是否在象鳞翅类的房间线那样的另外的昆虫房间涉及 apoptosis,不是很清楚的。因此,我们决定阐明在 apoptosis 的线粒体的角色在 Spodoptera litura 由紫外放射导致了(鳞翅目:Noctuidae ) 房间线(SL-ZSU-1 ) 。西方的污点结果建议在紫外对待的 SL-1 房间的细胞色素 c 在紫外放射的正式就职以后象 4 h 一样早被免除线粒体到 cytosol 并且以一种时间依赖者方式在 cytosolic 部分增加了。SL-ZSU-1 房间的 mitochondrial 膜潜力(ΔΨm ) 的流动 cytometric 分析与 ultraviolet-C (UV-C ) 对待显示的光在 mitochondrial 膜潜力的减少依赖于紫外处理的时间。他们俩与在有教养的果蝇 melanogaster 房间线(S2 和 BG2 ) 的 apoptosis 不同,它显得明显线粒体涉及学习鳞翅类的房间的 apoptosis。 | Shigang Shan | 2009 | Insect Science2009，16，6： | 1 |
| 4 | Voltage stability and control of offshore wind farms with AC collection and HVDC transmission显示文摘 | Liu Hanchao Sun Jian | 2014 | IEEE Journal of Emerging and selected topics in Power Electronics2014，2，4： | 1 |
| 5 | Review of Abnormality Detection and Fault Diagnosis Methods for Lithium‑Ion Batteries显示文摘Electric vehicles are developing prosperously in recent years.Lithium-ion batteries have become the dominant energy storage device in electric vehicle application because of its advantages such as high power density and long cycle life.To ensure safe and efficient battery operations and to enable timely battery system maintenance,accurate and reliable detection and diagnosis of battery faults are necessitated.In this paper,the state-of-the-art battery fault diagnosis methods are comprehensively reviewed.First,the degradation and fault mechanisms are analyzed and common abnormal behaviors are summarized.Then,the fault diagnosis methods are categorized into the statistical analysis-,model-,signal processing-,and data-driven methods.Their distinctive characteristics and applications are summarized and compared.Finally,the challenges facing the existing fault diagnosis methods are discussed and the future research directions are pointed out. | Xinhua Liu Mingyue Wang Rui Cao Meng Lyu Cheng Zhang Shen Li Bin Guo Lisheng Zhang Zhengjie Zhang Xinlei Gao Hanchao Cheng Bin Ma Shichun Yang | 2023 | Automotive Innovation2023，6，2： | 1 |
| 6 | Induction,selection and antibacterial activity of the antibacterial peptides from lepidopteran insect cultured cell lines显示文摘We induced 3 cell lines that were in vitro cultured from Lepidoptera with heat inactivated Escherichia coliDH_(5α) to stimulate the antibacterial peptide followed by antibacterial activity assay,induction dynamic research and Tricine sodium dodecyl sulfate-polyacrylamide gel electrophoresis(Tricine SDS-PAGE)experiment.The antibacterial activity of the induced BTI-Tn-5B1 cell line was the highest,and the antibacterial activity increased gradually to the highest level in 16 hours after stimulation.A new antibacterial peptide with a molecular weight of about 8000 Da was preferentially induced in Trichoplusia ni BTI-Tn-5B1 cells in 16 hours after stimulation.Antibacterial activity assays indicated that it had inhibition against Staphylococcus aureus,Escherichia coli K_(12)D_(31) and Salmonella derby.It has especially strong inhibition against Gram-negative bacteria such as Escherichia coli K_(12)D_(31) and Salmonella derby. | Rong PENG Zhong YANG Kaiyu LIU Hanchao YAO Hong YANG Yanfang CUI Huazhu HONG | 2008 | Frontiers in Biology2008，3，2： | 0 |
| 7 | Implementation for a cloud battery management system based on the CHAIN framework显示文摘An intelligent battery management system is a crucial enabler for energy storage systems with high power output,increased safety and long lifetimes.With recent developments in cloud computing and the proliferation of big data,machine learning approaches have begun to deliver invaluable insights,which drives adaptive control of battery management systems(BMS)with improved performance.In this paper,a general framework utilizing an end-edge-cloud architecture for a cloud-based BMS is proposed,with the composition and function of each link described.Cloud-based BMS leverages from the Cyber Hierarchy and Interactional Network(CHAIN)framework to provide multi-scale insights,more advanced and efficient algorithms can be used to realize the state-of-X es-timation,thermal management,cell balancing,fault diagnosis and other functions of traditional BMS system.The battery intelligent monitoring and management platform can visually present battery performance,store working-data to help in-depth understanding of the microscopic evolutionary law,and provide support for the development of control strategies.Currently,the cloud-based BMS requires more effects on the multi-scale inte-grated modeling methods and remote upgrading capability of the controller,these two aspects are very important for the precise management and online upgrade of the system.The utility of this approach is highlighted not only for automotive applications,but for any battery energy storage system,providing a holistic framework for future intelligent and connected battery management. | Shichun Yang Zhengjie Zhang Rui Cao Mingyue Wang Hanchao Cheng Lisheng Zhang Yinan Jiang Yonglin Li Binbin Chen Heping Ling Yubo Lian Billy Wu Xinhua Liu | 2021 | Energy and AI2021，5，3： | 0 |
| 8 | Removal of Cu(ll) ions from aqueous solution by activated carbon impregnated with humic acid显示文摘 | Hanchao LIU Suping FENG Nannan ZHANG Xiaolin DU Yongli LIU | 2014 | Frontiers of Environmental Science & Engineering2014，8，3： | 0 |
| 9 | Multi‑scale Battery Modeling Method for Fault Diagnosis显示文摘Fault diagnosis is key to enhancing the performance and safety of battery storage systems.However,it is challenging to realize efficient fault diagnosis for lithium-ion batteries because the accuracy diagnostic algorithm is limited and the features of the different faults are similar.The model-based method has been widely used for degradation mechanism analysis,state estimation,and life prediction of lithium-ion battery systems due to the fast speed and high development efficiency.This paper reviews the mainstream modeling approaches used for battery diagnosis.First,a review of the battery’s degradation mechanisms and the external factors affecting the aging rate is presented.Second,the different modeling approaches are summarized,from microscopic to macroscopic scales,including density functional theory,molecular dynamics,X-ray computed tomography technology,electrochemical model,equivalent circuit model,distributed model and neural network algorithm.Subsequently,the advantages and disadvantages of these model approaches are discussed for fault detection and diagnosis of batteries in different application scenarios.Finally,the remaining challenges of model-based battery diagnosis and the future perspective of using cloud control and battery intelligent networking to enhance diagnostic performance are discussed. | Shichun Yang Hanchao Cheng Mingyue Wang Meng Lyu Xinlei Gao Zhengjie Zhang Rui Cao Shen Li Jiayuan Lin Yang Hua Xiaoyu Yan Xinhua Liu | 2022 | Automotive Innovation2022，5，4： | 0 |
| 10 | Water Quality Assessment of Dachangshan ArtificialHabitat Development Demonstration Area显示文摘[Objective] The paper was to evaluate the water quality environment in Dachangshan artificial habitat development demonstration area.[Method] From 2013 to 2015, an environmental survey was conducted for eight voyages in Dachangshan artificial habitat development demonstra-tion area of Changhai County, Dalian City, and 20 hydrochemical indexes including salinity, p H, and COD were monitored. The water quality of the sea area was analyzed by principal component analysis and single factor index method. [Result] Except for that the control area of the August 2014 voyage belonged to II-class sea water standard, the water quality in other stations of all voyages conformed to I-class sea water standard. Totally 20 water quality indicators were synthesized into six principal components using principal component analysis, which explained 79.165% of the results;the principal component score was ranged from-1.536 to 3.706; the score in August 2014 was the highest, and the evaluation results were basically consistent with the results of single factor index analysis. [Conclusion] The overall water quality is good in Dachangshan artificial habitat development demonstration area. | Zhang Lu Tian Tao Ma Zhi Liu Yonghu Yang Jun Liu Hanchao li xue | 2018 | Animal Husbandry and Feed Science2018，10，4： | 0 |
| 11 | Non-invasive Characteristic Curve Analysis of Lithium-ion Batteries Enabling Degradation Analysis and Data-Driven Model Construction:A Review显示文摘Power battery technology is essential to ensuring the overall performance and safety of electric vehicles.Non-invasive char-acteristic curve analysis(CCA)for lithium-ion batteries is of particular importance.CCA can provide characteristic data for further applications such as state estimation and thermal runaway warning without disassembling the batteries.This paper summarizes the characteristic curves consisting of incremental curve analysis,differential voltage analysis,and differential thermal voltammetry from the perspectives of exploring the aging mechanism of batteries and constructing the data-driven model.The process of quantitative analysis of battery aging mechanism is presented and the steps of constructing data-driven models are induced.Moreover,the recent progress and application of the main features and methodologies are discussed.Finally,the applicability of battery CCA is discussed by converting non-quantifiable battery information into transportable data covering macrostate and micro-reaction information.Combined with the cloud-based battery management platform,the above-mentioned battery characteristic curves could be used as a valuable dataset to upgrade the next-generation battery management system design. | Rui Cao Hanchao Cheng Xuefeng Jia Xinlei Gao Zhengjie Zhang Mingyue Wang Shen Li Cheng Zhang Bin Ma Xinhua Liu Shichun Yang | 2022 | Automotive Innovation2022，5，2： | 0 |
| 12 | Key technological innovations in the construction of the main terminal of Beijing Daxing International Airport显示文摘Beijing Daxing International Airport,a major landmark project in China and a new driver for national development,will represent the direction for the development of civil aviation airports in China.The airport,situated in the junction of Nangezhuang,Daxing District,Beijing City and Gu’an County,Hebei Province,has seen its north terminal area and north terminal built in the first phase,covering a total construction area of about 1.4 million m2.The north terminal area is designed to have an annual throughput of 45 million passengers. | Jianhua LI Xianjun DUAN Hanchao LIU Susu LEI Zheng ZHANG Zhenwei LI | 2022 | Frontiers of Engineering Management2022，9，4： | 0 |
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