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| 1 | Special Section:SARS-CoV-2 Preliminary evidence from a multicenter prospective observational study of the safety and efficacy of chloroquine for the treatment of COVID-19显示文摘Effective therapies are urgently needed for the SARS-CoV-2 pandemic.Chloroquine has been proved to have antiviral effect against coronavirus in vitro.In this study,we aimed to assess the efficacy and safety of chloroquine with different doses in COVID-19.In this multicenter prospective observational study,we enrolled patients older than 18 years old with confirmed SARS-CoV-2 infection excluding critical cases from 12 hospitals in Guangdong and Hubei Provinces.Eligible patients received chloroquinephosphate s00 mg,orally,once(half dose)or twice(full dose)daily.Patients treated with non-chloroquine therapy were included as historical controls.The primary endpoint is the time to undetectable viral RNA.Secondary outcomes include the proportion of patients with undetectable viral RNA by day 10 and 14,hospitalization time,duration of fever,and adverse events.A total of 197 patients completed chloroquine treatment,and 176patients were included as historical controls.The median time to achieve an undetectable viral RNA was shorter in chloroquine than in non-chloroquine(absolute difference in medians-6.0 days;95%CI-6.0 to—4.0).The duration of fever is shorter in chloroquine(geometric mean ratio 0.6;95%CIO.5 to 0.8).No serious adverse events were observed in the chloroquine group.Patients treated with half dose experienced lower rate of adverse events than with full dose.Although randomized trials are needed for further evaluation,this study provides evidence for safety and efficacy of chloroquine in COVID-19 and suggests that chloroquine can be a cost-effective therapy for combating the COVID-19 pandemic. | Mingxing Huang Man Li Fei Xiao Pengfei Pang Jiabi Liang Tiantian Tang Shaoxuan Liu Binghui Chen Jingxian Shu Yingying You Yang Li Meiwen Tang Jianhui Zhou Guanmin Jiang Jingfen Xiang Wenxin Hong Songmei He Zhaoqin Wang Jianhua Feng Changqing Lin Yinong Ye Zhilong Wu Yaocai Li Bei Zhong Ruilin Sun Zhongsi Hong Jing Liu Huili Chen Xiaohua Wang Zhonghe Li Duanqing Pei Lin Tian Jinyu Xia Shanping Jiang Nanshan Zhong Hong Shan | 2020 | National Science Review2020，7，9： | 20 |
| 2 | Quantum Communication Networks and Trust Management: A Survey显示文摘This paper summarizes the state of art in quantum communication networks and trust management in recent years.As in the classical networks,trust management is the premise and foundation of quantum secure communication and cannot simply be attributed to security issues,therefore the basic and importance of trust management in quantum communication networks should be taken more seriously.Compared with other theories and techniques in quantum communication,the trust of quantum communication and trust management model in quantum communication network environment is still in its initial stage.In this paper,the core technologies of establishing secure and reliable quantum communication networks are categorized and summarized,and the trends of each direction in trust management of quantum communication network are discussed in depth. | Shibin Zhang Yan Chang Lili Yan Zhiwei Sheng Fan Yang Guihua Han Yuanyuan Huang Jinyue Xia | 2019 | Computers, Materials & Continua2019，，9： | 3 |
| 3 | Genomic landscapes of Chinese sporadic autism spectrum disordersrevealed by whole-genome sequencing显示文摘Autism spectrum disorder (ASD) is a neurodevelopmental disorder with considerable clinical and genetic heterogeneity.In this study,we identified all classes of genomic variants from whole-genome sequencing (WGS) dataset of 32 Chinese trios with ASD,including de novo mutations,inherited variants,copy number variants (CNVs) and genomic structural variants.A higher mutation rate (Poisson test,P<2.2×10^(-16)) in exonic (1.37×10^(-8)) and 3'-UTR regions (1.42×10^(-8)) was revealed in comparison with that of whole genome (1.05×10^(-8)).Using an integrated model,we identified 87 potentially risk genes (P<0.01) from 4832 genes harboring various rare deleterious variants,including CHD8 and NRXN2,implying that the disorders may be in favor to multiple-hit.In particular,frequent rare inherited mutations of several microcephaly-associated genes (ASPM,WDR62,and ZNF335)were found in ASD.In chromosomal structure analyses,we found four de novo CNVs and one de novo chromosomal rearrangement event,including a de novo duplication of UBE3A-containing region at 15q11.2-q13.1,which causes Angelman syndrome and microcephaly,and a disrupted TNR due to de novo chromosomal translocation t (1;5) (q25.1;q33.2).Taken together,our results suggest that abnormalities of centrosomal function and chromatin remodeling of the microcephaly-associated genes may be implicated in pathogenesis of ASD.Adoption of WGS as a new yet efficient technique to illustrate the full genetic spectrum in complex disorders,such as ASD,could provide novel insights into pathogenesis,diagnosis and treatment. | Jinyu Wu Ping Yu Xin Jin Xiu Xu Jinchen Li Zhongshan Li Mingbang Wang Tao Wang Xueli Wu Yi Jiang Wanshi Cai Junpu Mei Qingjie Min Qiong Xu Bingrui Zhou Hui Guo Ping Wang Wenhao Zhou Zhengmao Hu Yingrui Li Tao Cai Yi Wang Kun Xia Yong-Hui Jiang Zhong Sheng Sun | 2018 | Journal of Genetics and Genomics2018，45，10： | 3 |
| 4 | Simple hybrid dithiafulvenes-triphenylamine systems as dopant-free hole-transporting materials for efficient perovskite solar cells显示文摘Two extended hybrid conjugated systems based on a triphenylamine(TPA) core with two and three peripheral 1,4-dithiafulvenes(DTF) units coded WH-2 and WH-3 as hole-transporting materials(HTMs) applied in perovskite solar cells(PSCs) are synthesized by facile one-step reaction in good yield over 75%. DTF unit as electron donor can enhance the electron donating ability and the fusion of benzenic ring of TPA with DTF unit may lead to reinforced intermolecular interactions in the solid state. In addition,WH-2 and WH-3 exhibit a pyramid shape containing partial planarity and quasi three-dimensionality features, which is also conducive to enhancing the π-π stacking of molecules in the solid state. The above-mentioned structural characteristics make the two HTMs have good hole mobilities. As a result,WH-2 and WH-3 obtained the high intrinsic hole mobilities of 4.69 × 10^(-4)and 2.18 × 10^(-3)cm^(2)V^(-1)s^(-1)respectively. Finally, the power conversion efficiencies(PCEs) of PSCs with WH-2 and WH-3 as cost-effective dopant-free HTMs are 15.39% and 19.22% respectively and the PCE of PSC with WH-3 is on a par with that of PSC with Li-TFSI/t-BP doped Spiro-OMe TAD(19.67%). | Zhongquan Wan Yunpeng Zhang Jinyu Yang Jianxing Xia Fangyan Lin Xiaojun Yao Junsheng Luo Chunyang Jia | 2022 | Journal of Energy Chemistry2022，31，5： | 2 |
| 5 | CNN-BiLSTM-Attention Model in Forecasting Wave Height over South-East China Seas显示文摘Though numerical wave models have been applied widely to significant wave height prediction,they consume massive computing memory and their accuracy needs to be further improved.In this paper,a two-dimensional(2D)significant wave height(SWH)prediction model is established for the South and East China Seas.The proposed model is trained by Wave Watch III(WW3)reanalysis data based on a convolutional neural network,the bidirectional long short-term memory and the attention mechanism(CNNBiLSTM-Attention).It adopts the convolutional neural network to extract spatial features of original wave height to reduce the redundant information input into the BiLSTM network.Meanwhile,the BiLSTM model is applied to fully extract the features of the associated information of time series data.Besides,the attention mechanism is used to assign probability weight to the output information of the BiLSTM layer units,and finally,a training model is constructed.Up to 24-h prediction experiments are conducted under normal and extreme conditions,respectively.Under the normal wave condition,for 3-,6-,12-and 24-h forecasting,the mean values of the correlation coefficients on the test set are 0.996,0.991,0.980,and 0.945,respectively.The corresponding mean values of the root mean square errors are measured at 0.063 m,0.105 m,0.172 m,and 0.281 m,respectively.Under the typhoon-forced extreme condition,the model based on CNN-BiLSTM-Attention is trained by typhooninduced SWH extracted from the WW3 reanalysis data.For 3-,6-,12-and 24-h forecasting,the mean values of correlation coefficients on the test set are respectively 0.993,0.983,0.958,and 0.921,and the averaged root mean square errors are 0.159 m,0.257 m,0.437 m,and 0.555 m,respectively.The model performs better than that trained by all the WW3 reanalysis data.The result suggests that the proposed algorithm can be applied to the 2D wave forecast with higher accuracy and efficiency. | Lina Wang Xilin Deng Peng Ge Changming Dong Brandon J.Bethel Leqing Yang Jinyue Xia | 2022 | Computers, Materials & Continua2022，，10： | 2 |
| 6 | Risk factors for very low-level viremia in patients with chronic hepatitis B virus infection: A single-center retrospective study显示文摘Background and aim:Several effective antiviral drugs are now available;however,the risk of liver-related complications is still present.Low-level viremia(LLV),defined as a hepatitis B virus(HBV)deoxy-ribonucleic acid(DNA)load lower than 2000 IU/mL,is one of the major factors responsible for these complications.It has been reported that 22.7e43.1%of patients with HBV experience LLV.Herein,we aimed to explore the risk factors for very LLV(VLLV)during antiviral treatment.Methods:We collected data of patients with chronic hepatitis B(CHB)who received nucleos(t)ide analog treatment from October 2016 to April 2021.VLLV was defined as an HBV DNA load of 9e20 IU/mL.A total of 139 patients with LLV were matched with 139 patients with a sustained virological response at a 1:1 ratio according to age and gender.Results:Seropositivity rates for hepatitis B e antigen(HBeAg)(45.3%vs.17.3%,P<0.001)and hepatitis B surface antigen(HBsAg,3.11±0.68 lg IU/mL vs.2.54±1.04 lg IU/mL,P<0.001)and alanine amino-transferase levels(30.34±15.08 U/L vs.26.15±16.66 U/L,P¼0.040)in the two groups were significantly different.The multivariate analysis showed that both HBeAg seropositivity(adjusted odd ratio(aOR),3.63;95% confidence interval(CI):1.98±6.64;P<0.001)and HBsAg levels(aOR,2.21;95% CI:1.53±3.20;P<0.001)are independent risk factors for VLLV.During the multivariate analysis in the subgroup of HBeAg-positive patients,male gender(aOR,3.68;95% CI:1.23±10.76;P=0.017)and high HBsAg(aOR,4.86;95%CI:1.73e13.64;P¼0.003)levels were significantly correlated with VLLV.However,this was not the case in HBeAg-negative patients(P>0.050).HBeAg seropositivity(aOR,5.08;95% CI:2.15±12.02;P<0.001 vs.aOR,2.78;95% CI:1.16±7.00;P=0.022)and HBsAg levels(aOR,2.75;95% CI:1.41e5.37;P=0.003 vs.aOR,2.10;95% CI:1.27±3.46;P=0.004)significantly increased the risk of VLLV,irrespective of the age group.Both HBsAg(area under the receiver operating characteristic curve(AUC),0.681;95% CI:0.623±0.736;P<0.001)and HBeAg(AUC,0.640;95% CI:0.581±0.697;P<0.001)had certain pre-dictive value for VLLV.Conclusion:HBeAg seropositivity and higher HBsAg levels were not only risk factors for VLLV but also predicted its occurrence.When a patient with CHB remains HBeAg seropositive with high HBsAg levels after antiviral treatment for 48 weeks,emphasis should be placed on the potential occurrence of VLLV,warranting the use of highly sensitive HBV DNA detection methods. | Jiahui Lu Congnan Zhang Pengyuan He Mengdang Ou Jinyu Xia Mingxing Huang | 2022 | Liver Research2022，6，1： | 1 |
| 7 | QNE1 is a key flowering regulator determining the length of the vegetative period in soybean cultivars显示文摘The soybean E1 gene is a major regulator that plays an important role in flowering time and maturity.However,it remains unclear how cultivars carrying the dominant E1 allele adapt to the higher latitudinal areas of northern China.We mapped the novel quantitative trait locus QNE1(QTL near E1) for flowering time to the region proximal to E1 on chromosome 6 in two mapping populations.Positional cloning revealed Glyma.06G204300,encoding a TCP-type transcription factor,as a strong candidate gene for QNE1.Association analysis further confirmed that functional single nucleotide polymorphisms(SNPs) at nucleotides 686 and 1,063 in the coding region of Glyma.06G204300 were significantly associated with flowering time.The protein encoded by the candidate gene is localized primarily to the nucleus.Furthermore,soybean and Brassica napus plants overexpressing Glyma.06G204300 exhibited early flowering.We conclude that despite their similar effects on flowering time,QNE1 and E4 may control flowering time through different regulatory mechanisms,based on expression studies and weighted gene co-expression network analysis of flowering time-related genes.Deciphering the molecular basis of QNE1 control of flowering time enriches our knowledge of flowering gene networks in soybean and will facilitate breeding soybean cultivars with broader latitudinal adaptation. | Zhengjun Xia Hong Zhai Yanfeng Zhang Yaying Wang Lu Wang Kun Xu Hongyan Wu Jinglong Zhu Shuang Jiao Zhao Wan Xiaobin Zhu Yi Gao Yingxiang Liu Rong Fan Shihao Wu Xin Chen Jinyu Liu Jiayin Yang Qijian Song Zhixi Tian | 2022 | Science China(Life Sciences)2022，65，12： | 1 |
| 8 | Intergrating wind farm to the grid using hybrid multiterminal HVDC technology 显示文摘 | Xia C Haishun S Jinyu W | 2011 | IEEE Transactions on Industry Applications2011，47，2： | 1 |
| 9 | TZ-Container:protecting container from untrusted OS with ARM TrustZone显示文摘Containers are widely deployed on cloud platforms because of their low resource footprint, fast start-up time, and high performance, especially compared with their counterpart virtual machines. However,the Achilles’ heel of container technology is its weak isolation. For an attacker, jailbreaking into a host OS from a container is easier than attacking a hypervisor from a virtual machine, because of its notably larger attack surface and larger trusted computing base(TCB). Researchers have proposed various solutions to protect applications from untrusted OS;yet, few of them focus on protecting containers, especially those hosting multiple applications and shared by multiple users. In this paper, we first identify several new attacks that cannot be prevented using the existing solutions. Furthermore, we systematically analyze the security properties that should be maintained to defend against these attacks and protect a full-fledged container from a malicious host OS. We then present the TZ-Container, a TrustZone-based secure container mechanism that can keep all these security properties. The TZ-Container specifically leverages TrustZone to construct multiple isolated execution environments(IEEs). Each IEE has a memory space isolated from the underlying OS and any other processes. By interposing switching between the user and the kernel modes,IEEs enforce security checks on each system call according to its semantics. We have implemented TZContainer on the Hikey development board ensuring that it can support running unmodified Docker images downloaded from existing repositories such as http://gffzzb700e51cfd45483bsknkfo66b5q5b6qkn.ffgz.tsg.suse.edu.cn/. The evaluation results demonstrate that the TZ-Container has a performance overhead of approximately 5%. | Zhichao HUA Yang YU Jinyu GU Yubin XIA Haibo CHEN Binyu ZANG | 2021 | Science China(Information Sciences)2021，64，9： | 1 |
| 10 | Review of Access Control Model显示文摘Access control is one of the core problems in data management system.In this paper,the system requirements were described in three aspects:the traditional access control model,the access control model in the Internet era and the access control model in the cloud computing environment.Meanwhile,the corresponding major models were listed and their characteristics and problems were analyzed.Finally,the development trend of the corresponding model was proposed. | Zhengtao Liu Wen Gu Jinyue Xia | 2019 | Journal of Cyber Security2019，1，1： | 1 |
| 11 | Dynamic Modeling and Operations of a Heat-power Station System Based on Renewable Energy显示文摘The coexistence of pollution from coal-fired heating and inefficient utilization of renewable resources in northern China has raised great concern.Current studies on heat-power systems are primarily focused on traditional combined heat and power(CHP)systems and are limited to static energy flow analysis or the dynamic characteristics of a single system component.Hence,it is difficult to make full use of the complementary potential of electrical energy and heat energy.This paper proposes a heat-power station(HPS)system based on renewable energy for the purpose of utilizing the surplus renewable energy to generate heat and meet heating demands.The overall architecture of the HPS system is established and its operational principle and dynamic characteristics of both the electrical and heating components in the system are analyzed and dynamic mathematical models are also presented.In addition,a coordinated electro-thermal control method based on system characteristics is designed to ensure the normal operation of a HPS.Simulation results verify the effectiveness of the model and control in the case of renewables fuctuation and heat load variations. | Zhenxing Li Jianyu Zhou Jinyu Wen Xia Chen | 2022 | CSEE Journal of Power and Energy Systems2022，8，4： | 1 |
| 12 | Task-Attribute-Based Access Control Scheme for IoT via Blockchain显示文摘As a new form of network,the Internet of things(IoT)is becoming more widely used in people’s lives.In this paper,related theoretical research and practical applications of the IoT are explored.The security of the IoT has become a hot research topic.Access controls are methods that control reasonable allocations of data and resources and ensure the security of the IoT.However,most access control systems do not dynamically assign users’rights.Additionally,with some access control systems,there is a risk of overstepping other user’s authority,and there may exist a central authority that is a single point of failure.Therefore,to solve these problems,this paper proposes a Task-Attribute-Based Access Control scheme for the IoT via blockchain that combines the access control technologies of both the IoT and blockchain.This model,which merges the advantages of task-based access controls and attribute-based access controls,is perfectly integrated with blockchain technology.This model uses hash functions and digital signature algorithms to ensure the authenticity and integrity of the data,and it can dynamically allocate users’minimum privileges and thus perfectly solves the single point of failure problem.The model is implemented using a Geth client and solidity code,and the simulation results demonstrate the effectiveness of the model. | Hao Chen Wunan Wan Jinyue Xia Shibin Zhang Jinquan Zhang Xizi Peng Xingjie Fan | 2020 | Computers, Materials & Continua2020，，12： | 1 |
| 13 | Treating COVID-19 with Chloroquine显示文摘A novel coronavirus disease 2019(COVID-19)emerged around December 2019 in Wuhan,China and has spread rapidly worldwide(Lu et al.,2020).Until March 27,2020,the Chinese health authorities had reported 82082 confirmed COVID-19 cases in China with 3298 deaths and 381443 confirmed cases with 20787 deaths outside China.The World Health Organization(WHO)named the virus SARS-CoV-2,which belongs to a distinct clade from the human severe acute respiratory syndrome CoV(SARS-CoV)and Middle East respiratory syndrome CoV(MERSCoV)(Zhu et al.,2020). | Mingxing Huang Tiantian Tang Pengfei Pang Man Li Ruolan Ma Jiahui Lu Jingxian Shu Yingying You Binghui Chen Jiabi Liang Zhongsi Hong Huili Chen Ling Kong Dajiang Qin Duanqing Pei Jinyu Xia Shanping jiang Hong Shan | 2020 | Journal of Molecular Cell Biology2020，12，4： | 1 |
| 14 | Ground Nephogram Recognition Algorithm Based on Selective Neural Network Ensemble显示文摘In view of the low accuracy of traditional ground nephogram recognition model,the authors put forward a k-means algorithm-acquired neural network ensemble method,which takes BP neural network ensemble model as the basis,uses k-means algorithm to choose the individual neural networks with partial diversities for integration,and builds the cloud form classification model.Through simulation experiments on ground nephogram samples,the results show that the algorithm proposed in the article can effectively improve the Classification accuracy of ground nephogram recognition in comparison with applying single BP neural network and traditional BP AdaBoost ensemble algorithm on classification of ground nephogram. | Tao Li Xiang Li Yongjun Ren Jinyue Xia | 2020 | Computers, Materials & Continua2020，，5： | 1 |
| 15 | Key-Private Identity-Based Proxy Re-Encryption显示文摘An identity-based proxy re-encryption scheme(IB-PRE)allows a semi-trusted proxy to convert an encryption under one identity to another without revealing the underlying message.Due to the fact that the proxy was semi-trusted,it should place as little trust as necessary to allow it to perform the translations.In some applications such as distributed file system,it demands the adversary cannot identify the sender and recipient’s identities.However,none of the exiting IB-PRE schemes satisfy this requirement.In this work,we first define the security model of key-private IB-PRE.Finally,we propose the first key-private IB-PRE scheme.Our scheme is chosen plaintext secure(CPA)and collusion resistant in the standard model. | Chunpeng Ge Jinyue Xia Liming Fang | 2020 | Computers, Materials & Continua2020，，5： | 1 |
| 16 | High-valance molybdenum doped Co_(3)O_(4) nanowires:Origin of the superior activity for 5-hydroxymethyl-furfural oxidation显示文摘Co_(3)O_(4) has been widely explored in electrocatalytic 5-hydroxymethyl-furfural(HMF) oxidation. However,the poor intrinsic ability has seriously limited its electrochemical ability. Heteroatom-doping is an efficient method to enhance the electrocatalytic ability of catalyst by regulating electronic structure. Herein,we have modulated the electronic structure of Co_(3)O_(4) by high valance Mo^(6+)-doping. With the introduction of Mo^(6+), the content of Co^(2+) was increased and metal-oxygen bond was strength. Electrochemical results suggested that the electrocatalytic ability of Co_(3)O_(4) towards HMF oxidation has been dramatically improved and reaction kinetics has been fasten. Theoretical calculations demonstrated that the surrounding cobalt sites after Mo^(6+)-doping with assembled electron has a strong adsorption ability towards HMF molecule leading to more favourable oxidation of HMF. Post characterizations demonstrated pristine Co_(3)O_(4) structure was kept after electrolysis cycles and CoOOH active species were formed. This work provides a valuable reference for developing efficient heteroatom-doped electrocatalysts for HMF oxidation. | Bingying Xia Guangjin Wang Shasha Cui Jinyu Guo Hong Xu Zhijuan Liu Shuang-Quan Zang | 2023 | Chinese Chemical Letters2023，34，7： | 0 |
| 17 | Handheld Aptasensor for Sandwiched Detection of Chloramphenicol显示文摘Chloramphenicol(CAP)is an antifungal agent approved for use in aquarium.However,CAP residue imparts serious adverse effect on human health as well as the ecology.Thus,keeping track of CAP in aquatic products and its environmental metabolites are of great importance.Herein,we developed a novel and neat electrochemical aptasensor for the detection of simulated CAP residual in a sandwich fashion.The screen-printed carbon electrode was employed as the sensing platform and electrodeposited with peculiar nanogolds to enhance the electrochemical performance.For the specific recognition of such small target,a pair of chloramphenicol-binding aptamers,the primary Aptl and the secondary Apt2,were tailored as an artificial single-chained antibody couple,of which the thi-olated Aptl stood on the coated working substrate to capture the analyte,while the biotinylated Apt2 rallied the signal output.In the presence of CAP,Aptl at the lower place cooperated with the upper Apt2 pinched CAP together.After that,the reporter avidin-conjugated horseradish peroxidase associated atop the mounted biotin labels,resulting in an electrocatalytic amplification.In whole,this modular biosensing construction would set a paradigm not just for practicable checkpoint quarantine or point-of-care testing,but potentially adaptable for technological fusion with“Internet Plus”and“Internet of Things”. | YU Mintong XIA Tian BAI Wanchen JI jinyu WANG Huan HUANG Yaqi DENG Shengyuan MA Kefeng SU Yan WAN Ying | 2020 | Chemical Research in Chinese Universities2020，36，2： | 0 |
| 18 | A Secure Signcryption Scheme for Electronic Health Records Sharing in Blockchain显示文摘In the existing Electronic Health Records(EHRs),the medical information of patients is completely controlled by various medical institutions.As such,patients have no dominant power over their own EHRs.These personal data are not only inconvenient to access and share,but are also prone to cause privacy disclosure.The blockchain technology provides a new development direction in the medical field.Blockchain-based EHRs are characterized by decentralization,openness and non-tampering of records,which enable patients to better manage their own EHRs.In order to better protect the privacy of patients,only designated receivers can access EHRs,and receivers can authenticate the sharer to ensure that the EHRs are real and effective.In this study,we propose an identity-based signcryption scheme with multiple authorities for multiple receivers,which can resist N-1 collusion attacks among N authorities.In addition,the identity information of receivers is anonymous,so the relationship between them and the sharer is not disclosed.Under the random oracle model,it was proved that our scheme was secure and met the unforgeability and confidentiality requirements of signcryption.Moreover,we evaluated the performance of the scheme and found that it had the moderate signcryption efficiency and excellent signcryption attributes. | Xizi Peng Jinquan Zhang Shibin Zhang Wunan Wan Hao Chen Jinyue Xia | 2021 | Computer Systems Science & Engineering2021，37，5： | 0 |
| 19 | A Face Recognition Algorithm Based on LBP-EHMM显示文摘In order to solve the problem that real-time face recognition is susceptible to illumination changes,this paper proposes a face recognition method that combines Local Binary Patterns(LBP)and Embedded Hidden Markov Model(EHMM).Face recognition method.The method firstly performs LBP preprocessing on the input face image,then extracts the feature vector,and finally sends the extracted feature observation vector to the EHMM for training or recognition.Experiments on multiple face databases show that the proposed algorithm is robust to illumination and improves recognition rate. | Tao Li Lingyun Wang Yin Chen Yongjun Ren Lei Wang Jinyue Xia | 2019 | Journal on Artificial Intelligence2019，1，2： | 0 |
| 20 | Machine learning predictions of irradiation embrittlement in reactor pressure vessel steels显示文摘Irradiation increases the yield stress and embrittles light water reactor(LWR)pressure vessel steels.In this study,we demonstrate some of the potential benefits and risks of using machine learning models to predict irradiation hardening extrapolated to low flux,high fluence,extended life conditions.The machine learning training data included the Irradiation Variable for lower flux irradiations up to an intermediate fluence,plus the Belgian Reactor 2 and Advanced Test Reactor 1 for very high flux irradiations,up to very high fluence.Notably,the machine learning model predictions for the high fluence,intermediate flux Advanced Test Reactor 2 irradiations are superior to extrapolations of existing hardening models.The successful extrapolations showed that machine learning models are capable of capturing key intermediate flux effects at high fluence.Similar approaches,applied to expanded databases,could be used to predict hardening in LWRs under life-extension conditions. | Yu-chen Liu Henry Wu Tam Mayeshiba Benjamin Afflerbach Ryan Jacobs Josh Perry Jerit George Josh Cordell Jinyu Xia Hao Yuan Aren Lorenson Haotian Wu Matthew Parker Fenil Doshi Alexander Politowicz Linda Xiao Dane Morgan Peter Wells Nathan Almirall Takuya Yamamoto G.Robert Odette | 2022 | npj Computational Materials2022，，1： | 0 |
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