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International Journal of Digital Earth 2013年第1期6卷 51-75页

作者： Mohammad h.Vahidnia Ali A.Alesheikh Saeed Behzadi Sara Salehi Geodesy and Geomatics Engineering Department of Geospatial Information SystemK.N.Toosi University of TechnologyTehranIran Faculty of Geodesy and Geomatics Engineering Department of PhotogrammetryK.N.Toosi University of TechnologyTehranIran

Virtual representation and simulation of spatio-temporal phenomena is a promising goal for the production of an advanced digital *** modeling,which is one of the most helpful analyses in the geographic information system(GIS),plays a prominent role in meeting this *** study proposes a new model that considers both aspects of static and dynamic behaviors of spreadable spatio-temporal in cellular automata(CA)***,artificial intelligence tools such as adaptive neuro-fuzzy inference system(ANFIS)and genetic algorithm(GA)were used in accordance with the objectives of knowledge discovery and *** conditions in updating states are considered so traditional CA transition rules can be accompanied with the impact of fuzzy discovered knowledge and the solution of spread *** focused on the estimation of forest fire growth as an important case study for decision makers.A two-dimensional cellular representation of the combustion of heterogeneous fuel types and density on non-flat terrain were successfully linked with dynamic wind and slope *** validation of the simulation on experimental data indicated a relatively realistic head-fire *** investigations showed that the results obtained using the dynamic controlling with GA in the absence of static modeling with ANFIS were unacceptable.

关键词： geographic information system adaptive neuro-fuzzy inference system cellular automata genetic algorithm spatio-temporal spread forest fire digital earth

FEATURES　OF　ANNEALING　MICROSTRUCTURE　AND　TEXTURE　IN　Ti－25Al－10Nb－3V－1Mo　ShEET

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中国有色金属学会会刊：英文版 1996年第2期6卷 67-71页

作者： Mao, WM Yu, YN Yang, h Song, B Zou, DX Wang, B UNIV SCI & TEChNOL BEIJING DEPT MAT SCI & ENGNBEIJING 100083PEOPLES R CHINA MINIST MET IND DEPT SUPERALLOYCENT IRON & STEEL RES INSTBEIJING 100081PEOPLES R CHINA

ＦＥＡＴＵＲＥＳＯＦＡＮＮＥＡＬＩＮＧＭＩＣＲＯＳＴＲＵＣＴＵＲＥＡＮＤＴＥＸＴＵＲＥＩＮＴｉ－２５Ａｌ－１０Ｎｂ－３Ｖ－１ＭｏＳＨＥＥＴＭａｏＷｅｉｍｉｎ；ＹｕＹｏｎｇｎｉｎｇ；ＹａｎｇＨｏｎｇ；ＳｏｎｇＢｏ（Ｄｅ... 详细信息

ＦＥＡＴＵＲＥＳＯＦＡＮＮＥＡＬＩＮＧＭＩＣＲＯＳＴＲＵＣＴＵＲＥＡＮＤＴＥＸＴＵＲＥＩＮＴｉ－２５Ａｌ－１０Ｎｂ－３Ｖ－１ＭｏＳＨＥＥＴＭａｏＷｅｉｍｉｎ；ＹｕＹｏｎｇｎｉｎｇ；ＹａｎｇＨｏｎｇ；ＳｏｎｇＢｏ（ＤｅｐａｒｔｍｅｎｔｏｆＭａｔｅｒｉａ...

关键词： Ti-25-A1-10Nb-3V-1Mo texture rolling deformation annealing

Deep Learning-Based Approach for Arabic Visual Speech Recognition

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Computers, Materials & Continua 2022年第4期71卷 85-108页

作者： Nadia h.Alsulami Amani T.Jamal Lamiaa A.Elrefaei Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Electrical Engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Lip-reading technologies are rapidly progressing following the breakthrough of deep *** plays a vital role in its many applications,such as:human-machine communication practices or security *** this paper,we propose to develop an effective lip-reading recognition model for Arabic visual speech recognition by implementing deep learning *** Arabic visual datasets that have been collected contains 2400 records of Arabic digits and 960 records of Arabic phrases from 24 native *** primary purpose is to provide a high-performance model in terms of enhancing the preprocessing ***,we extract keyframes from our ***,we produce a Concatenated Frame Images(CFIs)that represent the utterance sequence in one single ***,the VGG-19 is employed for visual features extraction in our proposed *** have examined different keyframes:10,15,and 20 for comparing two types of approaches in the proposed model:(1)the VGG-19 base model and(2)VGG-19 base model with batch *** results show that the second approach achieves greater accuracy:94%for digit recognition,97%for phrase recognition,and 93%for digits and phrases recognition in the test ***,our proposed model is superior to models based on CFIs input.

关键词： Convolutional neural network deep learning lip reading transfer learning visual speech recognition

RhEOCASTING OF A356 ALLOY BY LOW SUPERhEAT POURING WITh A ShEARING FIELD

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Acta Metallurgica Sinica(English Letters) 2006年第5期19卷 328-334页

作者： h.M. Guo X.J. Yang B. hu Department of Materials Science and Engineering Nanchang UniversityNanchang 330031 China Department of Mechanical and Electronic Engineering Nanchang UniversityNanchang 330031 China

A novel semi-solid slurry-making process was developed, which was a controlled nucleation and growth technique using a specially designed rotational barrel. Experimental study was undertaken to investigate the effects of pouring temperature and rotation speed of barrel on the microstructure of A356 alloy. Localized rapid cooling, combined with vigorous mixing during the initial stage of solidification enhanced wall nucleation and nuclei survival. high nuclei density combined with a much gradual cooling afterwards led to the formation of the near-ideal semi-solid slurry under a large processing window for the pouring temperature. Primal. phase presented in mean equivalent diameter of 50-701μm and shape factor of 0.812-0.847, and featured zero-entrapped eutectic.

关键词： semi-solid processing nucleation grainsgrowth interfacestability

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变压器局部放电在线监测信号处理技术的研究

清华大学学报（自然科学版） 2003年第9期43卷 1181-1183页

作者：高胜友朱德恒谈克雄谢良聘 richard Dorr Philippe Guuinic 清华大学电机工程与应用电子技术系北京100084 法国电力公司研发中心 clamar法国92141

针对运行中变压器局部放电在线监测信号中的强烈窄带干扰,分别研究了基于快速Fourier变换(FFT)和时域分析算法的滤波器,对放电高频信号进行信号处理,以抑制干扰。处理结果表明,高频放电信号样本的信噪比可以提高15～20dB。对处理后的高... 详细信息

针对运行中变压器局部放电在线监测信号中的强烈窄带干扰,分别研究了基于快速Fourier变换(FFT)和时域分析算法的滤波器,对放电高频信号进行信号处理,以抑制干扰。处理结果表明,高频放电信号样本的信噪比可以提高15～20dB。对处理后的高频信号和同时采集到的超高频信号进行了综合分析,发现两种放电样本中的放电脉冲在时延和幅值上均存在着十分明确的相关关系,而干扰样本中则不存在这种对应关系。这一结果可以为局部放电信号的识别提供分析判断的依据。

关键词：变压器局部放电在线监测信号处理快速Fourier变换时域分析算法窄带干扰高电压技术

Cohomogeneity One de Sitter Space S1 n

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Acta Mathematica Sinica,English Series 2010年第10期26卷 1915-1926页

作者： P.AhMADI S.M.B.KAShANI h.ABEDI Department of Pure Mathematics Faculty of Mathematical SciencesTarbiat Modares University Group of Mathematics School of Sciences Bu-Ali Sina University

In this paper we study the cohomogeneity one de Sitter space S1 n. We consider the actions in both proper and non-proper cases. In the first case we characterize the acting groups and orbits and we prove that the orbit space is homeomorphic to R. In the latter case we determine the groups and consequently the orbits in some different cases and prove that the orbit space is not hausdorff.

关键词： Cohomogeneity one Lorentzian space de Sitter space

STRUCTURE　OF　GANODERIC　ACID　DM，A　NEW　TRITERPENOID　FROM　ThE　FRUITING　BODY　OF　GANODERMA　LUCIDUM

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Chinese Chemical Letters 1995年第12期6卷 1051-1052页

作者： Cai, h Wang, FS Yang, JS Zhang, YM Univ Agr & Anim Sci PLA Changchun 130062 Peoples R China Chinese Acad Med Sci Inst Med Plant Dev Beijing 100094 Peoples R China

A new lanostane-type triterpenoid, ganoderic acid DM was isolated from the cultured fruiting body of G. lucidum. The structure of ganoderic acid DM (1) was determined by spectral data. It was ldentifled as 3. 7-dioxo-... 详细信息

关键词： ACID BODY DM

The impact of personality on the success of prospecting behavior in changing landscapes

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Current Zoology 2015年第3期61卷 557-568页

作者： John Curtis BURKhALTER Nina h. FEFFERMAN Julie L. LOCKWOOD Graduate Program in Ecology and Evolution Department of Ecology Evolution and Natural Resources Rutgers University 14College Farm Rd. New Brunswick NJ 08901 USA

Personality can play a large role in dispersal decisions, influencing how each individual estimates and values ex- pected costs versus benefits of ventnring out to explore the unknown. We contrast the impact of persistence on fitness using deci- sion theory models to examine the relative success of prospecting movement （which is a widespread behavior used by animals to explore available breeding habitat before determining where to settle） in different landscapes among individuals with different personalities. While evaluating trends in the costs and benefits of movement we provide a quantifiable measure of the impacts of relative tenacity in prospecting behavior on fitness gains/losses. Our model results predict that, regardless of landscape composi- tion, individuals with greater tenacity in prospecting strategy have reduced fitness gains relative to individuals who are more willing to both initiate novel strategies, but then also abandon the new strategy rapidly if initial search does not seem fruitful. We show that fitness gains from choosing an appropriate prospecting strategy （i.e. abandoning poor habitat or staying in rich habitat） can be very high, indicating a potentially large influence from personality on fitness. Importantly, the model predicts that relative fitness gains are highly dependent on the availability of high quality habitat in the landscape, even if the difference under varying fitness outcomes between poor and rich habitat was substantial

关键词： Prospecting Tradeoff Movement Decision theory Personality Behavior

Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches

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Petroleum 2020年第4期6卷 329-339页

作者： Veronica K.h.Chan Christine W.Chan Energy Informatics Laboratory Faculty of Engineering and Applied ScienceUniversity of ReginaReginaSK S4S 0A2Canada

In the quest for interpretable models,two versions of a neural network rule extraction algorithm were proposed and *** two algorithms are called the Piece-Wise Linear Artificial Neural Network(PWL-ANN)and enhanced Piece-Wise Linear Artificial Neural Network(enhanced PWL-ANN)*** PWL-ANN algorithm is a decomposition artificial neural network(ANN)rule extraction algorithm,and the enhanced PWL-ANN algorithm improves upon the PWL-ANN algorithm and extracts multiple linear regression equations from a trained ANN model by approximating the hidden sigmoid activation functions using N-piece linear *** doing so,the algorithm provides interpretable models from the originally trained opaque ANN models.A detailed application case study illustrates how the generated enhanced-PWL-ANN models can provide understandable IF-ThEN rules about a problem *** of the results generated by the two versions of the PWL-ANN algorithm showed that in comparison to the PWL-ANN models,the enhanced-PWL-ANN models support improved fidelities to the originally trained ANN *** results also showed that more concise rule sets could be generated using the enhanced-PWL-ANN *** a more simplified set of rules is desired,the enhanced-PWL-ANN algorithm can be combined with the decision tree *** application of the algorithms to domains related to petroleum engineering can help enhance understanding of the problems.

关键词： Artificial neural networks Rule extraction Regression problem Algorithm design

Structural Characterization of Laser Bonded Sapphire Wafers Using a Titanium Absorber Thin Film

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Journal of Materials Science & Technology 2015年第5期31卷 484-488页

作者： A.de Pablos-Martín S.Tismer Th.hche Fraunhofer Institute for Mechanics of Materials IWM Walter-Hlse-Str.106120 HalleGermany

Two sapphire substrates were tightly bonded by irradiation with a 1064 nm nanosecond laser and using a sputtered 50 nm-titanium thin film as an absorbing *** laser irradiation,aluminum from the upper substrate is incorporated into the thin film,forming Ti-Al-O *** the irradiated region becomes transparent,the bond quality was evaluated by scanning acoustic microscopy.

关键词： Laser welding Absorbing film Sapphire wafer bondin