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Chinese Materials Conference, 2018

作者： Wang, Yuehua Ma, Liwen Zhang, Yunhe Huang, Zhaojie Xi, Xiaoli College of Materials Science and Engineering Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology Beijing University of Technology Beijing100124 China

ISBN: (纸本)9783035713848

With the development of new energy vehicles, urgent issues have attracted considerable attention. Some power batteries have entered the scrapping period with the imperative recycling of used power batteries. Some studies have predicted that by 2020 the amount of power lithium battery scrap will reach 32.2 GWh, corresponding to ~500,000 tons, and by 2023 the scrap will reach 101 GWh, corresponding to ~1.16 million tons. In this study, nickel-cobalt-lithium LiNi0.7 Co0.3 O2 cathode materials are regenerated from spent lithium-ion battery cathode materials as the raw material, which not only aids in the reduction of pressure on the environment but also leads to the recycling of resources. First, the extraction was employed using extracting agent p204 to remove aluminum ions from an acid leaching solution. The extraction conditions for aluminum ions were: including a phase ratio of 1:2, a pH of 3, an extractant concentration of 30%, and a saponification rate of 70%. Next, the precursor was prepared by co-precipitation using sodium hydroxide and ammonia water as the precipitant and complexion agents, respectively;hence, the cathode material can be uniformly mixed at the atomic level. The precursor and lithium hydroxide were subjected to calcination at high temperature using a high-temperature solid-phase method. The Calcination conditions included an air atmosphere;a calcination temperature of 800 °C;a calcination time of 15 h, an n (precursor): n (lithium hydroxide) ratio of 1:1.1. The thermogravimetric analysis revealed that the synthesis temperature should not exceed 850 °C. X-ray diffraction analysis, scanning electron microscopy, and energy spectrum analysis of the cathode material revealed a composition comprising Li, Ni, and Co oxides. After analysis, the material obtained is lithium nickel-cobalt-oxide, LiNi0.7 Co0.3 O2, which is a positive electrode material with good crystallinity and a regular layered structure. © 2019 Trans Tech Publications, Switzerland.

关键词： Coprecipitation

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Automatic Labeling for Gene-Disease Associations through Distant Supervision 14

Automatic Labeling for Gene-Disease Associations through Dis...

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14th IEEE International Conference on Intelligent Systems and Knowledge engineering, ISKE 2019

作者： Teng, Fei Bai, Meng Li, Tianrui Institute of Artificial Intelligence National Engineering Laboratory Integrated Transportation Big Data Application Technology School of Information Science Technology Southwest Jiaotong University Chengdu China

ISBN: (纸本)9781728123486

Associating genes with diseases is a fundamental challenge in human health with applications of understanding disease properties and developing precision medicine. Over the past decades, biomedical articles increase explosively, which contain a great number of gene-disease associations (GDAs). Association extraction requires annotated corpus of high accuracy, but manual labeling is time consuming and labor intensive. This paper proposes a distant supervision-based method, to automatically label corpus for GDAs extraction. Compared with the manually annotated gold corpus, the automatic labeled corpus has much larger scale and better quality. It improves the performance of state-of-the-art extraction models, with AUC of 0.96, and F1 of 90%. To the best of our knowledge, this is the first study of automatic labeling GDAs in the field of precision medicine. We extracted GDAs using new corpora from 115,261 PubMed abstracts about 29 lung cancers, and finally discovered 296 new genes/proteins related to lung cancers. These findings indicate new directions for drug design. © 2019 IEEE.

关键词： Genes

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Spatial–temporal variations of NDVI and its response to climate in China from 2001 to 2020

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International Journal of Digital Earth 2022年第1期15卷 1463-1484页

作者： Yuanyuan Wei Shougang Sun Dong Liang Zhaohong Jia School of Internet Anhui UniversityHefeiPeople’s Republic of China National Engineering Research Center for Agro-Ecological Big Data Analysis & Application Anhui UniversityHefeiPeople’s Republic of China School of Computer Science and Technology Anhui UniversityHefeiPeople’s Republic of China

Vegetation plays an important role in global or regional environmental *** this study,the spatial–temporal variations of NDVI and its response to climate in China and its seven sub-regions were investigated based on MODIS NDVI data,ERA5-land precipitation(PRE)and temperature(TEM)data from 2001 to *** inter-annual growth rate of NDVI in China was 0.0021/yr in the past 20 *** inter-annual growth rates of NDVI in seven sub-regions had significant differences at regional or seasonal *** ratio of improved vegetation area to the total studied area reached about 70%.In summer,vegetation degradation was concentrated in East China and Southwest *** vegetation in Central China and South China improved more obviously in autumn than in the other *** vegetation of Northeast China had a remarkable degradation in autumn and winter,especially in *** influence degree of PRE(q=0.54,P<0.01)was greater than that of TEM(q=0.27,P<0.01)in the control of the spatial distribution of *** interaction influence degree q of PRE∩TEM was about 0.71 in the last 20 ***,the PRE and TEM played different roles in vegetation growth in seven sub-regions.

关键词： NDVI spatial–temporal variations climate change MK test Geodetector

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Optimal Scheduling of Single-Line Electric Buses with Battery Swapping 8

Optimal Scheduling of Single-Line Electric Buses with Batter...

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8th IEEE International Conference on Intelligent Transportation engineering, ICITE 2023

作者： Guo, Yuyan Liu, Tao Institute of System Science and Engineering School of Transportation and Logistics Southwest Jiaotong University National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China

ISBN: (纸本)9798350314212

With the advantages of zero emission and comfortable riding experience, battery-electric buses (BEBs) are widely adopted in public transit agencies as a green alternative to conventional diesel buses. Battery swapping technology is an efficient and promising charging technology to address the issues of battery range anxiety and long battery charging time. This study developed a two-stage optimization model to optimize the single-line battery-electric bus scheduling problem considering battery swapping. At the first stage, a bi-objective integer programming model is established to determine the minimum BEB fleet size, together with the BEB-to-trip assignment and battery swapping schedule. At the second stage, an integer linear programming model is formulated to determine the required minimum number of batteries. An e-constraint method is designed to investigate the trade-off between the required minimum fleet size and the number of back-up batteries. Finally, a real-world case study of a BEB line in Chengdu, China, is conducted to demonstrate the effectiveness of the optimization model and solution method. Sensitivity analyses are further conducted to understand the impacts of some key parameters, including battery capacity, number of trips, cycle time, and battery swapping time. The results show that battery capacity and cycle time have significant influences on BEB-to-trip assignment results and battery swapping schedule. © 2023 IEEE.

关键词： Sensitivity analysis

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Recent advances in Raman technology with applications in agriculture, food and biosystems: A review

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Artificial Intelligence in Agriculture 2019年第3期3卷 1-10页

作者： Shizhuang Weng Wenxiu Zhu Xueyan Zhang Hecai Yuan Ling Zheng Jinling Zhao Linsheng Huang Ping Han Agricultural Product Quality and Safety Risk Assessment Laboratory of Ministry of Agriculture(Beijing) Beijing Academy of Agricultural and Forestry SciencesChina National Engineering Research Center for Agro-Ecological Big Data Analysis&Application Anhui University111 Jiulong RoadHefeiChina

Raman technology,which covers Raman spectroscopy(RS)and its various derivativemethods,has been widely applied in detection of various substances in agriculture,food and *** article reviews the recent advances in two mainstream Raman technologies as RS and SERS,including technical evolution,application and challenges,and spectral processing ***,the origin,principle,defect,and development of RSwere ***,the current situation,existing problems,and development trend of RS and SERS were discussed in agriculture,food,and biosystems,such as adulteration recognition,plant diseases identification,farm chemicals detection,food additives determination,and toxins *** last,the spectral analysis methods include noise reduction,feature extraction or variable selection,and modelingwere introduced in detail,which can realize the automatic and intelligent analysis of spectra without relying on professionals.

关键词： Raman technology Adulteration Plant diseases Farm chemicals Toxins Spectral processing methods

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Understanding transitions in animated bar charts

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Visual Intelligence 2023年第1期1卷 1-15页

作者： Wei, Datong Liu, Can Zhang, Xiaolong Yuan, Xiaoru Key Laboratory of Machine Perception (Ministry of Education) and the School of Intelligence Science and Technology Peking University Beijing China College of Information Sciences and Technology Pennsylvania State University University Park United States National Engineering Laboratory for Big Data Analysis and Application Peking University Beijing China

Animated bar charts have gained popularity on the Internet for their ability to display historical rankings through smooth animated transitions that clearly show the rankings over time. To investigate the usage scenarios of these charts, we analyzed the pop-up comments to understand viewers’ focus. Our findings suggest that animated transitions play a key role in viewers’ perception of ranking changes. We summarized various transition methods and evaluated their impact on user perception and memory through user experiments. We also conducted a detailed analysis of each transition method’s implementation. Our research sheds light on the effectiveness of different transition strategies for animated bar charts. © The Author(s) 2023.

关键词： Animation Quantitative evaluation Transition Visualization for the masses

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Fine-Grained Traffic Pollution Monitoring and Estimation: A Case Study in Chengdu 13th

Fine-Grained Traffic Pollution Monitoring and Estimation: A ...

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13th International Conference on Environmental Science and technology, ICEST 2022

作者： Peng, Xin Sun, Zhanbo Liu, Runzhe Yang, Feilong Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China Panzhihua University Panzhihua China

ISBN: (纸本)9783031274305

Accurate, fine-grained monitoring and estimation of traffic pollution are essential for preventing people from the health issues caused by air pollution. In this paper, we illustrated the concept of conducting fine-grained spatial interpolation of near-road traffic pollution distribution with mobile monitoring data. Different spatial interpolation techniques, including Kriging, Natural Neighbor Tessellation (NNT), and Inverse Distance Weighted (IDW) were compared. Results show NNT outperforms others especially in the cases of sparse data. This conclusion contributes to the monitoring and estimation of traffic pollution in smart cities. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Kriging

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Study on Fine-Grained Traffic Pollution Monitoring in Urban Area 10th

Study on Fine-Grained Traffic Pollution Monitoring in Urban ...

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10th International Conference on Environment Pollution and Prevention, ICEPP 2022

作者： Peng, Xin Liu, Runzhe Yang, Feilong Wen, Yi Southwest Jiaotong University Chengdu China National Engineering Laboratory of Integrated Transportation Big Data Application Technology Chengdu China Panzhihua University Panzhihua China

ISBN: (纸本)9789819974474

Fine-grained monitoring methods such as mobile sensing and grid-based network provide an effective approach to describe the traffic pollution distribution in urban areas. However, how to optimize the monitoring performance is still a problem to be solved. Based on the field data, adopting Kennard-Stone (KS) algorithm, Kriging, Natural Neighbor Tessellation (NNT), and Inverse Distance Weighting (IDW), this paper further studies the scientific mobile monitoring sampling frequency and monitoring network placement strategy applied to infer the surrounding traffic pollution. Experimental results illustrated that different pollutants are specific to mobile sampling frequency and estimation method. For PM2.5, NNT performs better than Kriging and IDW. The accurate distribution pattern of PM2.5 can be inferred when the mobile sampling frequency is every 60 m a sample (RMSPE = 9.98%). For CO2, IDW reaches higher inferring quality, which basically gets access to the surrounding distribution pattern at a sampling frequency of every 10.59 m a sample (RMSPE = 14.63%). Meanwhile, the monitoring network placement strategy for different pollutants is consistent. A spatially uniform distribution strategy can preferably infer the surrounding traffic pollution distribution as fewer detectors are planned to be deployed in the region. The conclusions of this paper may provide guidance for fine-grained traffic pollution monitoring and facilitating strategies in preventing and controlling traffic pollution in smart cities. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Kriging

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Unveiling the planar deformation mechanisms for improved formability in pre-twinned AZ31 Mg alloy sheet at warm temperature

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Journal of Magnesium and Alloys 2023年第12期11卷 4659-4678页

作者： Xiaohuan Pan Lifei Wang Pengbin Lu Hua Zhang Guangsheng Huang Liuwei Zheng Bin Xing Weili Cheng Hongxia Wang Wei Liang Kwang Seon Shin Shanxi Key Laboratory of Advanced Magnesium-Based Materials College of Materials Science and EngineeringTaiyuan University of TechnologyTaiyuan 030024China National Engineering Laboratory for Industrial Big-data Application Technology Chongqing Innovation Center of Industrial Big-Data Co.Ltd.Chongqing 400707China School of Materials Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Institute for Advanced Studies in Precision Materials Yantai UniversityYantai 264005China National Engineering Research Center for Magnesium Alloys College of Materials Science&EngineeringChongqing UniversityChongqing 400044China Magnesium Technology Innovation Center School of Materials Science and EngineeringSeoul National University1 Gwanak-roGwanak-guSeoul 08826South Korea

To investigate the role of pre-twins in Mg alloy sheets during warm planar deformation,the stretch forming is conducted at 200℃.Results suggest the formability of the pre-twinned AZ31 Mg alloy sheet is enhanced to 11.30 *** mechanisms for the improved formability and the deformation behaviors during the planar stretch forming are systematically investigated based on the planar stress *** Schmid factor for deformation mechanisms are calculated,the results reveal that planar stress states extremely affect the Schmid factor for{10-12}*** detwinning is activated and the prismatic slip is enhanced in the pre-twinned sheet,especially under the planar extension stress state in the outer ***,the thickness-direction strain is accommodated *** dynamic recrystallization(DRX)type is continuous DRX(CDRX)regardless of the planar stress ***,the CDRX degree is greater under the planar extension stress *** twin lattices deviate from the perfect{10-12}twinning relation due to the planar compression stress state and the *** basal texture is weakened when the planar stress state tends to change the texture components.

关键词： AZ31 Mg alloy sheet Planar stretch forming Planar stress states Continuous dynamic recrystallization {10-12}tensile twinning

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Environmental impacts assessment of ncm cathode material production of power lithium-ion batteries 20th

Environmental impacts assessment of ncm cathode material pro...

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20th Chinese Materials Conference, CMC 2019

作者： Jiao, Yulong Gao, Feng Xie, Jun College of Materials Science and Engineering Beijing University of Technology No.100 Ping Le Yuan Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology China

ISBN: (纸本)9783035715668

The nickel cobalt manganese ternary (NCM) cathode material is one of the important parts of power lithium battery. The NCM cathode material production process including the Li2CO3 preparation, precursor preparation and synthesis process of cathode materials is resource-and energy-intensive, thus it leads to relatively severe environment pollution. In this article, life cycle assessment of NCM cathode material production using coprecipitation method in China was conducted based on ReCiPe method. The environmental impacts of the main processes were calculated. The main factors and sources causing environmental pressure were identified. The results indicated that the precursor production contributed the most to environmental impacts in the NCM cathode material production. The energy consumption of the precursor production was 612MJ, accounting for 94.6% of the total energy consumption of NCM production. The environmental impacts of the CoSO4 production and NiSO4 production were the main contributors to that of the precursor production. The primary cobalt and nickel resources in China with lower grade and difficult mining led to the high energy consumption of these two kinds of raw materials. Therefore, the development and utilization of the secondary cobalt and nickel metals will be a great potential to reduce environmental impacts of NCM production. © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Cobalt

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