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| 1 | Validation of Landsat land surface temperature product in the conterminous United States using in situ measurements from SURFRAD, ARM, and NDBC sites显示文摘Since 1982,Landsat series of satellite sensors continuously acquired thermal infrared images of the Earth’s land surface.In this study,Landsat 5,7,and 8 land surface temperature(LST)products in the conterminous United States from 2009 to 2019 were validated using in situ measurements collected at 6 SURFRAD(Surface Radiation Budget Network)sites,6 ARM(Atmospheric Radiation Measurement)sites,and 9 NDBC(National Data Buoy Center)sites.The results indicate that a relatively consistent performance among Landsat 5,7,and 8 LST products is obtained for most sites due to the consistent LST retrieval algorithm in conjunction with the same atmospheric compensation and land surface emissivity(LSE)correction methods for Landsat 5,7,and 8 sensors.Large bias and root mean square error(RMSE)of Landsat LST product are obtained at some vegetated sites due to incorrect LSE estimation where LSE is invariant with the increasing of normalized difference vegetation index(NDVI).Except for the sites with incorrect LSE estimation,a mean bias(RMSE)of the differences between Landsat LST and in situ LST is 1.0 K(2.1 K)over snow-free land surfaces,−1.1 K(1.6 K)over snow surfaces,and−0.3 K(1.1 K)over water surfaces. | Si-Bo Duan Zhao-Liang Li Wei Zhao Penghai Wu Cheng Huang Xiao-Jing Han Maofang Gao Pei Leng Guofei Shang | 2021 | International Journal of Digital Earth2021，14，5： | 2 |
| 2 | Analysis of Cardiotoxicity from rh-Endostatin Therapy Combined with Chemotherapy显示文摘OBJECTIVE To evaluate the cardotoxicity from recombinant human endostatin(rh-endostatin)combined with chemotherapy. METHODS A total of 12 cancer patients treated with rh- endostatin combined with chemotherapy were selected,and their clinical data collected.Their symptoms,including cardiopalmus, chest distress,dyspnea and changes in their electrocardiogram (ECG),myocardium enzymogram and left ventricular ejection fraction(LVEF),were observed during the drug treatment.These indicators were used for early diagnosis of cardiotoxicity. RESULTS Compared with a pre-therapeutic value,there was a significant increase in the CK-MB value at one week after starting the treatment as well as at the end of treatment(P<0.05).There was a significant change in the ECG at the end of treatment, compared to a pre-therapeutic condition(P<0.05),but there was no significant difference when comparing the pre-and post- therapeutic LVEF values. CONCLUSION It was recognized that mild cardiac adverse reactions exist in the regimen of recombinant human endostatin combined with chemotherapy.This therapy caused definite injury to the cardiac muscle,but cardiac functions were not obviously changed.CK-MB and ECG may be used as indicators for early monitoring cardiac toxicity.Vigilance against cardiac adverse reactions should be heightened during a course of rh-endostatin combined with chemotherapy. | Jing Qin Penghai Zhang Xinyu Qian Aimin Li Rongcheng Luo Dingli Xu | 2008 | Chinese Journal of Clinical Oncology2008，5，4： | 2 |
| 3 | Research on recognition of O-MI based on CNN combined with SST and LSTM显示文摘Recognition algorithms have been widely used in brain computer interface(BCI) for neural paradigms classification. To improve the classification and recognition effect of motor imagery with motor observation(O-MI) in BCI rehabilitation technology, this paper explores the function of convolutional neural network(CNN) combined with synchrosqueezed wavelet transform(SST) and long short-term memory(LSTM) in the recognition and classification of neural activities in the brain motor area. Combining the advantages of SST in signal feature extraction in the pretreatment stage and the ability of LSTM network in time series information modeling, the purpose is to make up for CNN’s shortcomings in both aspects. This paper verifies the algorithm on the self-collected O-MI experimental datasets and the public datasets(BCI competition IV datasets 2 a). The results show that the composite CNN algorithm incorporating SST and LSTM achieves higher classification accuracy than classic algorithms and the similar new method which is CNN combined with discrete wavelet transform(DWT) and power spectral density(PSD), so it is convenient for practical application in O-MI BCI system. | LI Penghai LIU Cong | 2022 | Optoelectronics Letters2022，18，9： | 1 |
| 4 | A New Provably-Secure Key Agreement Protocol for Roaming in Mobile Networks显示文摘Protocols for authentication and key establishment have special requirements in a wireless environment. This paper presents a new key agreement protocol HAKA (home server aided key agreement) for roaming scenario. It is carried out by a mobile user and a foreign server with the aid of a home server,which provides all necessary authentications of the three parties. The session key can be obtained by no one except for the mobile user and the foreign server. HAKA is based on Diffie-Hellman key exchange and a secure hash function without using any asymmetric encryption. The protocol is proved secure in Canetti-Krawczyk (CK) model. | LI Guangsong WANG Penghai | 2008 | Wuhan University Journal of Natural Sciences2008，13，5： | 1 |
| 5 | Black Box Modeling Method and Its Application in Refractories Techniques显示文摘Concept of black box, condition of modeling and control methods were introduced. Taking high purity silica brick as an example, the silica brick featured with high purity, low porosity, low true density and high strength was developed through problem analysis, test design, modeling and optimization. Using information technology to upgrade refractories industry was discussed. | WANG Jiezeng YUAN Lin YE Yahong LI Penghai WANG Juntao | 2012 | China's Refractories2012，21，4： | 0 |
| 6 | Integrated simulation and monitoring to analyze failure mechanism of the anti-dip layered slope with soft and hard rock interbedding显示文摘The significant difference between the mechanical properties of soft rock and hard rock results in the complexity of the failure mode of the anti-dip layered slope with soft and hard rock interbedding.In order to reveal the landslide mechanism,taking the north slope of Fushun West Open-pit Mine as an example,this paper analyzed the failure mechanism of different landslides with monitoring and field surveys,and simulated the evolution of landslides.The study indicated that when the green mudstone(hard rock)of the anti-dip slope contains siltized intercalations(soft rock),the existence of weak layers not only aggravates the toppling deformation of anti-dip layered slope with high dip,but also causes the shear failure of anti-dip layered slope with stable low dip.The shear failure including subsidence induced sliding and wedge failure mainly exists in the unloading zone of the slope.Its failure depth and failure time were far less than that of toppling failure.In terms of the development characteristics of deformation,toppling deformation has the long-term and progressive characteristics,but shear failure deformation has the abrupt and transient characteristics.This study has deepened the understanding of such slope landslide mechanism,and can provide reference for similar engineering. | Jinduo Li Yuan Gao Tianhong Yang Penghai Zhang Yong Zhao Wenxue Deng Honglei Liu Feiyue Liu | 2023 | International Journal of Mining Science and Technology2023，33，9： | 0 |
| 7 | Research on the properties of ZnO_(1-x)S_(x) thin films modified by sulfur doping for CIGS solar cells显示文摘ZnO_(1-x)S_(x) thin films modified by sulfur doping were prepared on glass substrates by chemical bath deposition(CBD) for studying the effect of thiourea concentration on the thin film properties. The obtained ZnO_(1-x)S_(x) thin films were characterized by scanning electron microscopy(SEM), which shows the surfaces of ZnO_(1-x)S_(x) thin films deposited under the thiourea concentration of 0.14 M are more compact. X-ray diffraction(XRD) measurement shows that the ZnO_(1-x)S_(x) thin films with hexagonal crystal structure had strong diffraction peaks and better crystallinity. The optical transmittance of the ZnO_(1-x)S_(x) thin films with 0.14 M thiourea concentration is above 80% in the wavelength range of 300-900 nm. According to the measurement results from spectrophotometer, the ZnO_(1-x)S_(x) band gap energy value Eg varies nonlinearly with different S/(S+O) ratio x, and increases with the increase of x. There is a band gap value of 2.97 eV in the ZnO_(1-x)S_(x) thin films deposited under 0.14 M thiourea concentration. Therefore, the thin films have better structural, optical and electric properties, and are more suitable for the buffer layers of copper indium gallium selenide(CIGS) thin film solar cells. | SUN Hang XUE Yuming WANG Luoxin GUO Qing LI Penghai | 2022 | Optoelectronics Letters2022，18，11： | 0 |
| 8 | Research on EEG emotion recognition based on CNN+BiLSTM+self-attention model显示文摘To address the problems of insufficient dimensionality of electroencephalogram(EEG) feature extraction,the tendency to ignore the importance of different sequential data segments,and the poor generalization ability of the model in EEG based emotion recognition,the model of convolutional neural network and bi-directional long short-term memory and self-attention(CNN+Bi LSTM+self-attention) is proposed.This model uses convolutional neural network(CNN) to extract more distinctive features from both spatial and temporal dimensions.The bi-directional long short-term memory(Bi LSTM) is used to further preserve the long-term dependencies between the temporal phases of sequential data.The self-attention mechanism can change the weights of different channels to extract and highlight important information and address the often-ignored importance of different channels and samples when extracting EEG features.The subject-dependent experiment and subject-independent experiment are performed on the database for emotion analysis using physiological signals(DEAP) and collected datasets to verify the recognition performance.The experimental results show that the model proposed in this paper has excellent recognition performance and generalization ability. | LI Xueqing LI Penghai FANG Zhendong CHENG Longlong WANG Zhiyong WANG Weijie | 2023 | Optoelectronics Letters2023，19，8： | 0 |
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