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| 1 | Hot Mixing Behavior and Curing Process of Epoxy Asphalt显示文摘A new hot mixed epoxy asphalt system was developed. The reaction process of epoxy resin was characterized by Fourier transform infrared spectroscopy (FTIR). The viscosity was investigated by Brinell viscometer when epoxy resin was mixed with asphalt. The glass transition temperature (Tg), homogeneity, thermal stability and viscoelasticity of epoxy asphalt were analyzed by differential scanning calorimetry (DSC), metallographic microscope, thermogravimetric (TG) and dynamic mechanical analysis (DMA). The results showed that the viscosity of epoxy resin modified asphalt reached 1000 mPa·s for more than 180 minutes at 180 ℃, while the best construction process is mixing at 180 ℃ for 2 hours and curing at 60 ℃ for 4 days. The particle size of asphalt is less than 50 μm. In addition, the mechanical properties of the materials are uniform within the specified pavement thickness. | 李华伟 WEI Wei ZHANG Chao XU Feifan LI Xin JING Peng 朱泉峣 DING Qingjun YAN Boxiang | 2020 | Journal of Wuhan University of Technology(Materials Science)2020，35，3： | 3 |
| 2 | Minimization of infiuence by the drooping eyelid in extracting pupil center for eye tracking systems显示文摘Precise pupil center detection is an important factor for gaze tracking in video-oculography (VOG) systems.Existing methods per-form well to extract the features when the area of pupil in eye image is clear, whereas, interferences, such as eyelashes, corneal refiection etc., will lead to a low success rate.One main reason is the closure of eyelids.In this paper, a systemic 3D transformation algorithm is proposed to accurately ascertain the pupil center, in spite of the complicating factors mentioned above.Experiments show the good per-formance of our method.And the pupil center could be extracted accurately, even though only 25% of the pupil is visible. | Xiaopeng Wei Dongsheng Zhou Qiang Zhang Boxiang Xiao | 2008 | Progress in Natural Science:Materials International2008，18，9： | 3 |
| 3 | Image acquisition system for agricultural context-aware computing显示文摘Context-aware computing is a new mode originated from ubiquitous computing.Its emergence brings a substantial change to traditional computing and related service.Image is a pervasive tool for context awareness.A large number of applications are developed based on images analysis.In this paper,an image acquisition system is presented for agricultural context-aware computing.The potential use of the system includes production evaluation,precise management and assistant control.The system includes four modules:the camera system,the control system,mechanism,and communication.The system can be easily installed in target crop fields.The camera system is composed of a binocular stereo camera and a color camera.Two cubic images and a corresponding texture image are collected for each plant in the process of data acquisition.An accessorial software system is developed to control and manage the capture system.Experiments show that the presented system is effective for image acquisition of agricultural context-aware computing. | Xiao Boxiang Wang Chuanyu Guo Xinyu Wu Sheng | 2014 | International Journal of Agricultural and Biological Engineering2014，7，4： | 2 |
| 4 | Association between APOE epsilon 4 allele and postoperative cognitive dysfunction: A meta-analysis显示文摘 | Liang Cao Kai Wang Tianyu Gu Boxiang Du Jie Song | 2014 | International Journal of Neuroscience2014，，7： | 2 |
| 5 | In- fluence of an Orifice Plate on Gas Pulsation in a Recipro- cating Compressor Piping System 显示文摘 | Xiaohan Jia Boxiang Liu Jianmei Feng and Xueyuan Peng | 2015 | Joumal of Process Mechanical Engineering2015，229，1： | 1 |
| 6 | Influence of an orifice plate on gas pulsation in a reciprocating compressor piping system显示文摘 | Jia Xiaohan Liu Boxiang Feng Jianmei | 2015 | Proc Inst Mech Eng Part E2015，，： | 1 |
| 7 | An approach of mocap data-driven animation for virtual plant显示文摘 | Boxiang Xiao Xinyu Guo Chunjiang Zhao | 2013 | IETE Journal of Research2013，，3： | 1 |
| 8 | Imputation of single-cell gene expression with an autoencoder neural network显示文摘Background:Single-cell RNA-sequencing(scRNA-seq)is a rapidly evolving technology that enables measurement of gene expression levels at an unprecedented resolution.Despite the explosive growth in the number of cells that can be assayed by a single experiment,scRNA-seq still has several limitations,including high rates of dropouts,which result in a large number of genes having zero read count in the scRNA-seq data,and complicate downstream analyses.Methods:To overcome this problem,we treat zeros as missing values and develop nonparametric deep learning methods for imputation.Specifically,our LATE(Learning with AuToEncoder)method trains an autoencoder with random initial values of the parameters,whereas our TRANSLATE(TRANSfer learning with LATE)method further allows for the use of a reference gene expression data set to provide LATE with an initial set of parameter estimates.Results:On both simulated and real data,LATE and TRANSLATE outperform existing scRNA-seq imputation methods,achieving lower mean squared error in most cases,recovering nonlinear gene-gene relationships,and better separating cell types.They are also highly scalable and can efficiently process over 1 million cells in just a few hours on a GPU.Conclusions:We demonstrate that our nonparametric approach to imputation based on autoencoders is powerful and highly efficient. | Md.Bahadur Badsha Rui Li Boxiang Liu Yang ILi Min Xian Nicholas EBanovich Audrey Qiuyan Fu | 2020 | Quantitative Biology2020，8，1： | 1 |
| 9 | Effects of(Ti, W)C Addition on the Microstructure and Mechanical Properties of Ultrafine WC–Co Tool Materials Prepared by Spark Plasma Sintering显示文摘In this study, powder mixtures containing(Ti, W)C additions(10, 20, 30 and 40 wt%) were prepared and then consolidated at 1200, 1250, 1300 and 1350 °C by spark plasma sintering. The effect of(Ti, W)C additions on the microstructure and mechanical properties of ultrafine WC–Co materials was investigated. The results demonstrate that the(Ti, W)C not only retards the sintering densification but also increases the porosity of sintered samples. The increasing sintering temperature is beneficial to the densification but results in the grain coarsening and the dissolution of W in(Ti, W)C. Moreover, there are no(Ti, W)C grains with obvious core/rim structure in the microstructure. With the(Ti, W)C increasing from 10 to 20 wt%, the hardness increases and fracture toughness changes hardly. However, the hardness and fracture toughness decrease slightly as the(Ti, W)C further increases. The transgranular fracture of(Ti, W)C phases is responsible for the slight reduction in fracture toughness. The sample with 20 wt%(Ti, W)C has high hardness and fracture toughness( HV : 21.3 GPa, KIC: 9.8 MPa m1/2). | Boxiang Wang Zhenhua Wang Juntang Yuan Bin Yu | 2020 | Acta Metallurgica Sinica(English Letters)2020，33，6： | 1 |
| 10 | High-quality quasi-monochromatic near-field radiative heat transfer designed by adaptive hybrid Bayesian optimization显示文摘The increasing demand for versatile and high-quality near-field radiative heat transfer(NFRHT) has created a critical need for a design approach that can handle numerous candidate structures. In this work, we employ and develop an adaptive hybrid Bayesian optimization(AHBO) algorithm to design the high-quality quasi-monochromatic NFRHT. The candidate materials include hexagonal boron nitride, silicon carbide, and doped silicon. The high-quality quasi-monochromatic NFRHT is optimized over 1.0 × 10^(8) candidate structures to maximize the evaluation factor. It is worth noting that only 2.6% of the candidate structures needed to be calculated to identify the optimal structure. The optimal structure of quasi-monochromatic NFRHT is an aperiodic multilayer metamaterial that differs from conventional periodic multilayer structures. Moreover, we investigate the robustness and mechanisms of the optimal quasi-monochromatic NFRHT with respect to the vacuum gap distance and the temperature difference between the emitter and receiver. In addition, the high-quality multi-peak NFRHT is designed using the AHBO algorithm by improving the definition of the evaluation factor. The results demonstrate that the AHBO algorithm is efficient in designing high-quality quasi-monochromatic and multi-peak NFRHT, and it can be further expanded to other structural designs in the field of energy conversion. | ZHANG WenBin WANG BoXiang XU JianMing ZHAO ChangYing | 2022 | Science China(Technological Sciences)2022，65，12： | 1 |
| 11 | Deep Neural Semantic Network for Keywords Extraction on Short Text显示文摘Keyword extraction is a branch of natural language processing,which plays an important role in many tasks,such as long text classification,automatic summary,machine translation,dialogue system,etc.All of them need to use high-quality keywords as a starting point.In this paper,we propose a deep learning network called deep neural semantic network(DNSN)to solve the problem of short text keyword extraction.It can map short text and words to the same semantic space,get the semantic vector of them at the same time,and then compute the similarity between short text and words to extract top-ranked words as keywords.The Bidirectional Encoder Representations from Transformers was first used to obtain the initial semantic feature vectors of short text and words,and then feed the initial semantic feature vectors to the residual network so as to obtain the final semantic vectors of short text and words at the same vector space.Finally,the keywords were extracted by calculating the similarity between short text and words.Compared with existed baseline models including Frequency,Term Frequency Inverse Document Frequency(TF-IDF)and Text-Rank,the model proposed is superior to the baseline models in Precision,Recall,and F-score on the same batch of test dataset.In addition,the precision,recall,and F-score are 6.79%,5.67%,and 11.08%higher than the baseline model in the best case,respectively. | Chundong She Huanying You Changhai Lin Shaohua Liu Boxiang Liang Juan Jia Xinglei Zhang Yanming Qi | 2020 | 国际计算机前沿大会会议论文集2020，，2： | 0 |
| 12 | Rapid thermal evaporation for cadmium selenide thin-film solar cells显示文摘Cadmium selenide(CdSe)belongs to the binary II-VI group semiconductor with a direct bandgap of~1.7 eV.The suitable bandgap,high stability,and low manufacturing cost make CdSe an extraordinary candidate as the top cell material in silicon-based tandem solar cells.However,only a few studies have focused on CdSe thin-film solar cells in the past decades.With the advantages of a high deposition rate(~2µm/min)and high uniformity,rapid thermal evaporation(RTE)was used to maximize the use efficiency of CdSe source material.A stable and pure hexagonal phase CdSe thin film with a large grain size was achieved.The CdSe film demonstrated a 1.72 eV bandgap,narrow photoluminescence peak,and fast photoresponse.With the optimal device structure and film thickness,we finally achieved a preliminary efficiency of 1.88%for CdSe thin-film solar cells,suggesting the applicability of CdSe thin-film solar cells. | Kanghua LI Xuetian LIN Boxiang SONG Rokas KONDROTAS Chong WANG Yue LU Xuke YANG Chao CHEN Jiang TANG | 2021 | Frontiers of Optoelectronics2021，14，4： | 0 |
| 13 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 14 | STATE:A Clustering Algorithm Focusing on Edges Instead of Centers显示文摘With the expansion of data scale and the increase in data complexity,it is particularly important to accurately identify clusters and efficiently save clustering results.To address this,we propose a novel clustering algorithm,Shape clustering based on data field(STATE),which can quickly identify clusters of arbitrary shapes and greatly reduce the storage space of clustering results in any datasets without reducing the accuracy.STATE mainly focuses on finding the edges of clusters and directions of edges instead of clustering centers through the data field.The results of STATE are presented as the edges of clusters without data objects inside clusters and without noise.Extensive experiments show that STATE can recognize complex data distribution in noisy environments without discrimination and greatly save the storage space of clustering results.When it is applied in a real-world scene,facial feature extraction,STATE can recognize eyes,nose,mouth,eyebrows and facial contours automatically without calibrating key features or training.Using the extracted facial features,we achieve facial recognition with high accuracy. | ZHAO Boxiang WANG Shuliang LIU Chuanlu | 2021 | Chinese Journal of Electronics2021，30，5： | 0 |
| 15 | Research on VSG Frequency Characteristics and Energy Storage Device Capacity and Charge-Discharge Characteristics Based on Feedforward Branch显示文摘Renewable energy is connected to the grid through the inverter,which in turn reduces the inertia and stability of the power grid itself.The traditional grid-connected inverter does not have the function of voltage regulation and frequency regulation and can therefore no longer adapt to the new development.The virtual synchronous generator(VSG)has the function of voltage regulation and frequency regulation,which has more prominent advantages than traditional inverters.Based on the principle of VSG,the relationship between the frequency characteristics and the energy storage capacity of the feedforward branch-based virtual synchronous machine(FVSG)is derived when the input power and grid frequency change.Reveal the relationship between the virtual inertia coefficient,damping coefficient,and frequency characteristics of VSG and energy storage capacity.An energy storage configuration method that meets the requirements of frequency variation characteristics is proposed.A mathematical model is established,and the Matlab/Simulink simulation software is used for modeling.The simulation results verify the relationship between the inertia coefficient,damping coefficient,and energy storage demand of the FVSG. | Baoge Zhang Shanyan Ping Haoliang Shi Yi Long Boxiang Wu Yuemin Jiao | 2022 | Energy Engineering2022，119，6： | 0 |
| 16 | Optical metalenses:fundamentals,dispersion manipulation,and applications显示文摘Metasurfaces,also known as 2D artificial metamaterials,are attracting great attention due to their unprecedented performances and functionalities that are hard to achieve by conventional diffractive or refractive elements.With their sub-wavelength optical scatterers,metasurfaces have been utilized to freely modify different characteristics of incident light such as amplitude,polarization,phase,and frequency.Compared to traditional bulky lenses,metasurface lenses possess the advantages of flatness,light weight,and compatibility with semiconductor manufacture technology.They have been widely applied to a range of scenarios including imaging,solar energy harvesting,optoelectronic detection,etc.In this review,we will first introduce the fundamental design principles for metalens,and then report recent theoretical and experimental progress with emphasis on methods to correct chromatic and monochromatic aberrations.Finally,typical applications of metalenses and corresponding design rules will be presented,followed by a brief outlook on the prospects and challenges of this field. | Yongli He Boxiang Song Jiang Tang | 2022 | Frontiers of Optoelectronics2022，15，2： | 0 |
| 17 | Measurement of proton quenching in a LAB-based liquid scintillator显示文摘Background The linear alkylbenzene has been recently used as the solvent of liquid scintillator by several neutrino experiments.The nonlinear energy response induced by the ionization quenching is critical in this kind of detectors.An empirical model proposed by Birks is commonly used to describe the quenching effect;however,recently,the parameter kB in the model is found to be particle dependent.Purpose To improve the understanding of proton quenching in LS detectors.Methods A 14 MeV D–T compact neutron generator is deployed which can provide recoil protons with kinetic energies ranging from 0.5 to 13 MeV in LS.Results The parameter kB is extracted by fitting the data to the Birks’law prediction with careful examination of systematic uncertainties.Conclusion The measurement will contribute to the in-depth understanding of the energy nonlinearity in liquid scintillator detectors. | Masheng Yang Zeyuan Yu Jun Cao Xilei Sun Boxiang Yu Guangpeng An | 2019 | Radiation Detection Technology and Methods2019，3，1： | 0 |
| 18 | An interactive design method for realistic fruit rot modeling and simulation显示文摘This paper presents a general 3D method to simulate a rotting process in fruits using a visual model for the digital design of the fruits.The global rot parameter and rot resistance parameter are used to control a dynamic simulation of a rotting process.The rot resistance parameters of every point of a 3D fruit model are generated by an interactive designing method that is similar to the traditional sketch drawing tools.We construct a texture of a rot region on a fruit surface by resistance parameters.The degree of rot that is used to control both shape and appearance of rotten fruit surface can be computed by tuning the resistance parameters and global rot parameters.We derive an exponential function to calculate the depression displacement of geometric shape caused by the rot.In order to render a wrinkle on the rot region,we use a normal noise map to modify a normal vector of fruit model and use an isotropic ward BRDF model to represent an appearance of fruit in which the time-varying diffuse reflectance is derived from the real photos.We utilize a linear function to control the dynamic simulation processes including shape deformation and aging appearance.We have evaluated our method by simulating the rotten apple and moldy orange.The results have shown that our method provides a dynamic,real-time and realistic simulation,and it is flexible,fast and of a general character for digital fruit design as a visualization model. | Sheng Wu Boxiang Xiao Teng Miao Weiliang Wen Xinyu Guo | 2018 | International Journal of Modeling, Simulation, and Scientific Computing2018，9，5： | 0 |
| 19 | Trimerization of Acetylene and Alkene:Rapid Access to Polyenes显示文摘Conjugated polyene motifs are ubiquitous in various natural products and functional molecules;however,their synthesis is very challenging because of the required lengthy and time-consuming processes.We herein report an efficient approach for the synthesis of(E,E)-trienes via cationic rhodium catalysis using acetylene and simple alkenes bearing diverse directing groups as the starting materials.The reaction featured high step economy,excellent functional group compatibility,and exclusive stereoselectivity.Various directing groups such as carbonyl,sulfone,phosphate,hydroxyl,and amino were compatible.Furthermore,the triene products allowed versatile elaborations,providing rapid and convenient access to several important bioactive molecules,including vitamin A,(+)-roxaticin,and other complex polyenes.Mechanistic experiments showed that the directing group on the alkene played a crucial role in the reaction. | Boxiang Liu Zhicong Lin Yu Wang Tairan Cheng Tongxiang Cao Shifa Zhu | 2023 | CCS Chemistry2023，5，5： | 0 |
| 20 | A physics-based approach to motion capture data processing for virtual plant modeling and simulation显示文摘Dynamic virtual plant simulation is an attractive research issue in both botany and computer graphics.Data-driven method is an efficient way for motion analysis and animation synthesis.As a widely used tool,motion capture has been used in plant motion data acquisition and analysis.The most prominent and important problem in motion capture for plants is primary data processing such as missing markers reconstruction.This paper presents a novel physics-based approach to motion capture data processing of plants.Firstly,a physics-based mechanics model is found by Lagrangian mechanics for a motion captured plant organ such as a leaf,and then its dynamic mechanical properties are analyzed and relevant model parameters are evaluated.Further,by using the physical model with evaluated parameters,we can calculate the next positions of a maker to reconstruct the missing makers in motion capture sequence.We take an example of a maize leaf and pachira leaf to examine the proposed approach,and the results show that the physics-based method is feasible and effective for plant motion data processing. | Boxiang Xiao Sheng Wu Xinyu Guo | 2018 | International Journal of Modeling, Simulation, and Scientific Computing2018，9，3： | 0 |
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