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The prediction formula and a risk-based sensor scheduling method in target detection with guiding information

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Defence Technology（防务技术） 2020年第2期16卷 447-452页

作者： Ce Pang Gan-lin shan Army Engineering University Shijiazhuang 050000People's Republic of China

Sensor scheduling is used to improve the sensing performance in the estimation of targets’***,few papers are on the sensor scheduling for target detection with guiding *** letter can remedy this deficiency.A risk-based target detection method with guiding information is provided firstly,based on which,the sensor scheduling approach is aiming at reducing the risk and uncertainty in target detection,namely risk-based sensor scheduling *** should be stressed is that the Prediction Formula in sensor scheduling is ***,some examples are conducted to stress the effectiveness of this proposed method.

关键词： Sensor scheduling Target detection Operational risk Information guiding

Effect of Microstructure on Thermal Expansion Coeffcient of 7A09 Aluminum Alloy

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Journal of Materials Science & Technology 2011年第9期27卷 797-801页

作者： Hongzhi Ji lin Yuan Debin shan School of Materials Science and Engineering Harbin Institute of Technology Harbin 150001 China

The relationship between microstructure evolution and coefficient of thermal expansion （CTE） of 7A09 aluminum alloy was investigated in this paper. Differential scanning calorimetry （DSC） was combined with transmission electron microscopy （TEM） and high-resolution transmission electron microscopy （HRTEM） to investigate microstructure evolution taking place in 7A09 aluminum alloy during heating and cooling process. The corresponding CTE curves of the 7A0g alloy were recorded by thermal dilatometer. Results indicated that GPII zones and Ur phase were main precipitates in the highest strength tempered （T6） 7A09 alloy. The r/phase was the main participate in 7A09 alloy during the cooling process. The nonlinear dependency existed between CTE and temperature in both changing temperature processes. During the heating process, obvious additional contraction of alloy volume was directly caused by phase transition, such as dissolution of η＇ phase, transition from η＇ to η phase and dissolution of η phase. The additional contraction could slow down the increase of CTE greatly and be expressed in the nonlinearity of CTE curve. Volume and energy changes of alloy system influenced the variation trend of CTE directly, which was caused by the precipitation of U phase during the cooling process. These effects were revealed by the corresponding nonlinear change of CTE.

关键词： Aluminum Coefficient alloy Changing temperature process Microstructure evolution of thermal expansion

AN INNOVATIVE ORDERS-OF-MAGNITUDE AHP APPROACH OF LEADING INDUSTRIES SELECTION:CASE STUDY OF JIANGBEI INDUSTRIAL CLUSTERS IN CHINA

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Journal of Systems Science and Systems Engineering 2014年第1期23卷 1-19页

作者： Ke-yu ZHU shan-lin YANG Wei CHEN School of Management Hefei University of Technology Joseph M.Katz Graduate School of Business University of Pittsburgh

In current stage of China Industrial Transfer, how to select the leading industries is an extremely difficult decision. In this research, we study the selection problem of Jiangbei Industrial Clusters in Anhui Province. Total thirty-three industries can be transferred to Jiangbei Industrial Clusters, however due to limited capacity, Jiangbei Industrial Clusters can only accommodate a few of them. The difficulties of such decision include： 1） the decisions are qualitative within a complex and uncertain environment; 2） the number of alternatives is beyond the upper bound of comparing elements in general decision making methods. We introduce a new methodology-the Orders-of-Magnitude approach of the Analytic Hierarchy Process （OM-AHP） to solve such selection decision. The OM-AHP follows AHP philosophy to structure qualitative questions and uses ＂pivot＂ element to handle the situation when the alternatives become more than seven. By employing OM-AHP methodology, we found the modern logistics industry and ship ＆ marine equipment etc., are identified to be the leading industries; particularly, we recommend to give higher priority in modern logistics industry and the advanced equipment manufacturing industry, given these two industries could dramatically improve the overall comprehensive economic strength and significantly enhance competitive advantages of the Jiangbei Industrial Clusters.

关键词： Decision analysis AHP industrial transfer

Hydroclimatic anomalies in China during the post-Laki years and the role ofconcurring El Nino

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Advances in Climate Change Research 2021年第2期12卷 187-198页

作者： GAO Chao-Chao YANG lin-shan LIU Fei Department of Environmental Science Zhejiang UniversityHangzhou310058China Key Laboratory of Tropical Atmosphere‒Ocean System Ministry of Education School of Atmospheric SciencesSun Yat-sen UniversityZhuhai519082China Southern Marine Science and Engineering Guangdong Laboratory Zhuhai519082China

Arctic is warming at an alarming speed causing accelerated melting of Greenland and rising of sea level,and geoengineering by injectingaerosol into stratosphere(SAI)has been proposed as a backup approach to mitigate ***,studies suggest that SAI implementationmay have adverse impacts on global especially monsoon precipitation,and Northern Hemisphere high-latitude injections may have dis-proportionally high effects than tropical *** 1783e1784 CE Laki eruption in Iceland provides an analogy to study the climatic andthe subsequent socioecological responses to Arctic SAI,and China possesses a rich legacy of documents recording climatic disasters anddescribing their direct impacts on agriculture and *** the most recent summer precipitation reconstructions and the documentary data,this study presents a systemic analysis of the hydroclimatic anomalies as well as the societal and ecological consequences in China following the1783e1784 CE Laki *** results from multi-proxies show severe drought conditions in eastern China during the post-Laki years,accompanied by large scale locust breakout,famine and human *** drought and associated disasters first emerged in the North ChinaPlain in 1784 CE,intensified and expanded to the middle and lower reaches of the Yangtze River in 1785 *** drought and famine stresses inChina are part of the very unsettled climate conditions experienced across the Northern Hemispheric world during the *** isolating theENSO-induced precipitation from the reconstructed summer precipitation changes,our results indicate that the Laki eruption did cause severedrought in monsoon China during the next three *** drought responses in the 1783e1784 were largely counter-balanced by the wettinginduced by the concurring strong El Ni~no *** results help to enhance our understanding of the hydroclimate consequence of NH highlatitude volcanic eruption in China,and the potential role climate interna

关键词： 1783‒1784 CE Laki eruption Hydroclimatic anomalies China El Nino Proxy reconstruction

Evaluation and prediction of slope stability using machine learning approaches

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Frontiers of Structural and Civil Engineering 2021年第4期15卷 821-833页

作者： shan lin Hong ZHENG Chao HAN Bei HAN Wei LI Key Laboratory of Urban Security and Disaster Engineering Ministry of EducationBeijing University of TechnologyBeijing100124China

In this paper,the machine learning(ML)model is built for slope stability evaluation and meets the high precision and rapidity requirements in slope *** ML methods for the factor of safety(FOS)prediction are studied and compared hoping to make the best use of the large variety of existing statistical and ML regression methods *** data set of this study includes six characteristics,namely unit weight,cohesion,internal friction angle,slope angle,slope height,and pore water pressure *** whole ML model is primarily divided into data preprocessing,outlier processing,and model *** the data preprocessing,the duplicated data are first removed,then the outliers are filtered by the LocalOutlierFactor method and finally,the data are standardized.11 ML methods are evaluated for their ability to learn the FOS based on different input parameter *** analyzing the evaluation indicators R2,MAE,and MSE of these methods,SVM,GBR,and Bagging are considered to be the best regression *** performance and reliability of the nonlinear regression method are slightly better than that of the linear regression ***,the SVM-poly method is used to analyze the susceptibility of slope parameters.

关键词： slope stability factor of safety regression machine learning repeated cross-validation

Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability

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Underground Space 2024年第4期17卷 226-245页

作者： shan lin Zenglong Liang Miao Dong Hongwei Guo Hong Zheng Key Laboratory of Urban Security and Disaster Engineering Ministry of EducationBeijing University of TechnologyBeijing 100124China Department of Civil and Environmental Engineering The Hong Kong Polytechnic University(PolyU)Hung HomKowloon 999077Hong KongChina

We conducted a study to evaluate the potential and robustness of gradient boosting algorithms in rock burst assessment,established a variational autoencoder(VAE)to address the imbalance rock burst dataset,and proposed a multilevel explainable artificial intelligence(XAI)tailored for tree-based ensemble *** collected 537 data from real-world rock burst records and selected four critical features contributing to rock burst ***,we employed data visualization to gain insight into the data’s structure and performed correlation analysis to explore the data distribution and feature ***,we set up a VAE model to generate samples for the minority class due to the imbalanced class *** conjunction with the VAE,we compared and evaluated six state-of-theart ensemble models,including gradient boosting algorithms and the classical logistic regression model,for rock burst *** results indicated that gradient boosting algorithms outperformed the classical single models,and the VAE-classifier outperformed the original classifier,with the VAE-NGBoost model yielding the most favorable *** to other resampling methods combined with NGBoost for imbalanced datasets,such as synthetic minority oversampling technique(SMOTE),SMOTE-edited nearest neighbours(SMOTE-ENN),and SMOTE-tomek links(SMOTE-Tomek),the VAE-NGBoost model yielded the best ***,we developed a multilevel XAI model using feature sensitivity analysis,Tree Shapley Additive exPlanations(Tree SHAP),and Anchor to provide an in-depth exploration of the decision-making mechanics of VAE-NGBoost,further enhancing the accountability of treebased ensemble models in predicting rock burst occurrences.

关键词： Gradient boosting VAE Ensemble learning Explainable artificial intelligence(XAI) Rock burst

Corrosion behaviors of thermally grown oxide films on Fe-based bulk metallic glasses

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International Journal of Minerals,Metallurgy and Materials 2012年第8期19卷 726-732页

作者： Hong-xiang Li shan-lin Wang Yeonuk Jeong Seonghoon Yi State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing 100083 China. School of Aeronautical Manufacturing Engineering Nanchang Hangkong University Nanchang 330063 China. Department of Electronic Materials Science and Engineering Kyungpook National University Daegu 702-701 South Korea. Department of Materials Science and Metallurgy Kyungpook National University Daegu 702-701 South Korea.

Oxide films formed on the surfaces of Fe-based bulk metallic glasses in the temperature range between 373 K and 573 K were characterized and their effects on the corrosion behaviors were investigated by microstructural and electrochemical analysis. The oxide film formed at 573 K is iron-rich oxide and it exhibits an n-type semiconductor at a higher potential than 0.35 V and a p-type semiconductor at a lower potential than 0.35 V. Capacitance measurements show that the donor density decreases with the increase in oxidation temperature, while the thickness of the space charge layer increases with the oxidation temperature rising. The result of immersion tests shows that the mass loss rate increases with the oxidation temperature rising. Therefore, the correlation between microstructure and corrosion resistance needs to be proposed because the corrosion resistance is deteriorated with the development of the oxide films.

关键词： bulk metallic glass oxide films corrosion capacitance

Preparation of MnO2-impregnated carbon-coated Fe3O4 nanocomposites and their application for bovine serum albumin adsorption

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Rare Metals 2020年第10期39卷 1151-1158页

作者： Chol-Hwan Kim Ze-Fei Zhang lin-shan Wang Ting Sun College of Sciences Northeastern UniversityShenyang 110004China

MnO2-impregnated carbon-coated Fe3 O4(Fe3O4/C/MnO2)nanocomposites with a good core-shell structure were prepared by direct oxidation of carbon-coated Fe3 O4(Fe3O4/C)microspheres with KMnO4 in alkaline solution and applied to adsorb bovine serum albumin(BSA).X-ray diffraction(XRD),transmission electron microscope(TEM),Fourier transform infrared spectrometer(FTIR),vibrating sample magnetometer(VSM)and thermogravimetric analyzer(TGA)tests show that Fe3O4/C microspheres were newly functionalized via the oxidation by ***3O4/C/MnO2 nanocomposites exhibit a higher adsorption capacity for BSA than Fe3O4/C microspheres and the maximum adsorption of BSA on them occurs at pH 4.7,which is the isoelectric point of *** isotherm model describes the adsorption of BSA better than Freundlich model and Temkin model,and the kinetics data fit well with the pseudo-second-order model.

关键词： Fe3O4/C/MnO2 nanocomposites Bovine serum albumin Adsorption

A new energy efficient management approach for wireless sensor networks in target tracking

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Defence Technology（防务技术） 2021年第3期17卷 932-947页

作者： Ce Pang Gong-guo Xu Gan-lin shan Yun-pu Zhang Army Engineering University Hebei Shijiazhuang050003China

This paper mainly studied the problem of energy conserving in wireless sensor networks for target tracking in defensing combats. Firstly, the structures of wireless sensor nodes and networks were illustrated;Secondly, the analysis of existing energy consuming in the sensing layer and its calculation method were provided to build the energy conserving objective function;What’s more, the other two indicators in target tracking, including target detection probability and tracking accuracy, were combined to be regarded as the constraints of the energy conserving objective function. Fourthly, the three energy conserving approaches, containing optimizing the management scheme, prolonging the time interval between two adjacent observations, and transmitting the observations selectively, were introduced;In addition, the improved lion algorithm combined with the Logistic chaos sequence was proposed to obtain sensor management schemes. Finally, simulations had been made to prove the effectiveness of the proposed methods and algorithm.

关键词： Wireless sensor networks Target searching Target tracking Energy efficiency Lion algorithm