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NEW MULTIOBJECTIVE SIMULATED ANNEALING ALGORITHM AND ITS APPLICATION TO TURBINE CASCADES’ DESIGN

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Chinese Journal of Mechanical Engineering 1999年第1期12卷 51-56页

作者： tong tong feng Zhenping Xi’an Jiaotong University Xi'an Jiaotong Univ Xi'an China

A new kind of multiobjective simulated annealing algorithm is proposed,in which the concept of non dominated character is introduced and a new multiobjective acceptance criterion is set *** optimization example of a typical mathematical problem with two minimum objective functions indicates that all of the solutions contract to the set of the non dominated points,and the variation trend of the optimal solutions is verified to be identical with that obtained using Genetic Algor *** new developed algorithm is then applied to the multiobjective optimization design of turbine cascades,in which it is coupled with the aerodynamics computation of the cascade flow fields and performance and the calculated loss coefficient and work potential of the cascade are considered as the objective functions,thus setting up a technique to the engineering optimization design for the *** optimization results,by the view of a group of optimal solutions,show that the algorithm is superior to the traditional technique of multiobjective optimization design and can be applied to more than two objective optimization cascade design problem or other engineering multiobjective optimization designs.

关键词： Simulated annealing algorithm Multiobjective Optimization design Turbine cascade

Dataset of human motion status using IR-UWB through-wall radar

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Journal of Systems Engineering and Electronics 2021年第5期32卷 1083-1096页

作者： ZHU Zhengliang YANG Degui ZHANG Junchao tong feng Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of the Ministry of Education Xia-men UniversityXiamen 361005China School of Aeronautics and Astronautics Central South UniversityChangsha 410083China College of Ocean and Earth Sciences Xiamen UniversityXiamen 361005China

Ultra-wideband(UWB)through-wall radar has a wide range of applications in non-contact human information detection and *** the integration of machine learning technology,its potential prospects include the physiological monitoring of patients in the hospital environment and the daily monitoring at *** many target detection methods of UWB through-wall radar based on machine learning have been proposed,there is a lack of an opensource dataset to evaluate the performance of the *** published dataset is measured by impulse radio UWB(IR-UWB)through-wall radar *** test subjects are measured in different environments and several defined motion *** the presented dataset,we propose a human-motion-status recognition method using a convolutional neural network(CNN),and the detailed dataset partition method and the recognition process flow are *** the well-trained network,the recognition accuracy of testing data for three kinds of motion status is higher than 99.7%.The dataset presented in this paper considers a simple ***,we call on all organizations in the UWB radar field to cooperate to build opensource datasets to further promote the development of UWB through-wall radar.

关键词： impulse radio ultra-wideband(IR-UWB) through-wall radar human motion status dataset convolutional neural network(CNN)

Tumor Classification of Gene Expression Data by Fuzzy Hybrid Twin SVM

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Chinese Journal of Electronics 2022年第1期31卷 99-106页

作者： DUAN Hua feng tong LIU Songning ZHANG Yulin SU Jionglong College of Mathematics and Systems Science Shandong University of Science and Technology School of AI and Advanced Computing XJTLU Entrepreneur College (Taicang) Xi'an Jiaotong-Liverpool University

A new classification model, the fuzzy hybrid twin support vector machine(TWSVM), namely FHTWSVM, is proposed by combining the fuzzy TWSVM and the hypersphere support vector machine(SVM).The hypersphere SVM is utilized for generating the hyperspheres for the positive and negative class with the smallest possible radius, so that the hyperspheres can contain as many samples as possible. The samples which the hyperspheres cover form a new sample set. Furthermore a distance-based fuzzy function is utilized to calculate the fuzzy factors for the samples. Finally FHTWSVM is used to train all samples with the parameters optimized by grid search. This method can maximize intra-class clustering for noise removal and reduce the influence of *** demonstrate the superiority of the performance of FHTWSVM over other classifiers, e.g., KNN, RF,Bayesian, TWSVM, Ada Boost and XGBoost, a series of experiments is conducted using eight gene expression datasets. The evaluation results show that the proposed approach can improve the classification performance as well as reduce prediction errors for the datasets.

关键词： biology computing support vector machines grid search fuzzy TWSVM hypersphere support vector machine hypersphere SVM intra-class clustering pattern classification fuzzy hybrid twin SVM FHTWSVM tumor classification tumours fuzzy hybrid twin support vector machine learning (artificial intelligence) distance-based fuzzy function fuzzy set theory pattern clustering search problems gene expression data

Development of a new irradiation-embrittlement prediction model for reactor pressure-vessel steels

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Nuclear Science and Techniques 2024年第11期35卷 182-192页

作者： Qi-Bao Chu Lu Sun Zhen-feng tong Qing Wang Ministry of Ecology and Environment Nuclear and Radiation Safety CenterBeijing 100082China School of Nuclear Science and Engineering North China Electric Power UniversityBeijing 102206China

Predicting the transition-temperature shift(TTS)induced by neutron irradiation in reactor pressure-vessel(RPV)steels is important for the evaluation and extension of nuclear power-plant *** prediction models may fail to properly describe the embrittlement trend curves of Chinese domestic RPV steels with relatively low Cu *** on the screened surveillance data of Chinese domestic and similar international RPV steels,we have developed a new fluencedependent model for predicting the irradiation-embrittlement *** fast neutron fluence(E>1 MeV)exhibited the highest correlation coefficient with the measured TTS data;thus,it is a crucial parameter in the prediction *** chemical composition has little relevance to the TTS residual calculated by the fluence-dependent *** results show that the newly developed model with a simple power-law functional form of the neutron fluence is suitable for predicting the irradiation-embrittlement trend of Chinese domestic RPVs,regardless of the effect of the chemical composition.

关键词： Reactor pressure vessel steel Transition temperature shift Irradiation embrittlement Embrittlement trend curve Prediction model

A novel and efficient strategy involving a CuI catalyzed cascade reaction to synthesize acenaphtho[1,2-b]quinoline derivatives

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Chinese Chemical Letters 2016年第3期27卷 349-352页

作者： Hong-Kun Yang Yuan-feng tong Song Wu State Key Laboratory of Bioactive Substance and Function of Natural Medicines Institute of Materia MedicaChinese Academy of Medical Sciences & Peking Union Medical College

A novel and efficient approach for the straightforward synthesis of biologically significant acenaphtho[1,2-b]quinoline derivatives in good yields utilizing CuI as a catalyst with a broad array of substrates has been developed. The strategy features as a CuI-catalyzed cascade reaction involving the formation of two new C–C bonds and one new C–N bond with high atom economy. A proposed mechanism for the reaction is described.

关键词： Cascade reaction CuI Substituted anilines Phenylethynyl-1-naphthaldehydes Acenaphtho[1 2-b]quinolones

Evaluating acoustic communication performance of micro autonomous underwater vehicles in confined spaces

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Frontiers of Information Technology & Electronic Engineering 2018年第8期19卷 1013-1023页

作者： Qiu-yang TAO Yue-hai ZHOU feng tong Ai-jun SONG Fumin ZHANG School of Electrical and Computer Engineering Georgia Institute of Technology College of Ocean and Earth Sciences Xiamen University Department of Electrical and Computer Engineering The University of Alabama

Micro-sized autonomous underwater vehicles(μAUVs) are well suited to various applications in confined underwater spaces. Acoustic communication is required for many application scenarios of μAUVs to enable data transmission without surfacing. This paper presents the integration of a compact acoustic communication device with a μAUV prototype. Packet reception rate(PRR) and bit error rate(BER) of the acoustic communication link are evaluated in a confined pool environment through experiments while the μAUV is either stationary or *** pinpoint several major factors that impact the communication performance. Experimental results show that the multi-path effect significantly affects the synchronization signals of the communication device. The relative motion between the vehicle and the base station also degrades the communication performance. These results suggest future methods towards improvements.

关键词： Autonomous underwater vehicles Underwater acoustic communications Confined water space

A convenient synthesis of 6-demethoxycapillarisin

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Chinese Chemical Letters 2007年第4期18卷 407-408页

作者： Yuan feng tong Shuai Chen Yong Hao Cheng Song Wu Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100050 China

A convenient and effective method for the synthesis of 6-demethoxycapillarisin was described. The highlight was involved in a simple access to the key intermediate 2-ethylthio-5,7-dimethoxy-4H-chromen-4-one from the i... 详细信息

关键词： Synthesis 6-Demethoxycapillarisin Chromone

Glacier changes since the early 1960s, eastern Pamir, China

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Journal of Mountain Science 2016年第2期13卷 276-291页

作者： ZHANG Zhen XU Jun-li LIU Shi-yin GUO Wan-qin WEI Jun-feng feng tong State Key Laboratory of Cryospheric Sciences Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China University of Chinese Academy of Sciences Beijing 100049 China

Glaciers in the eastern Pamir are important for water resources and the social and economic development of the *** the last 50 years,these glaciers have shrunk and lost ice mass due to climate *** order to understand recent glacier dynamics in the region,a new inventory was compiled from Landsat TM/ETM+ images acquired in2009,free of clouds and with minimal snow cover on the glacierized *** first glacier inventory of the area was also updated by digitizing glacier outlines from topographical maps that had been modified and verified using aerial *** glacier area decreased by 10.8%±1.1%,mainly attributed to an increase in air temperature,although precipitation,glacier size and topographic features also combined to affect the general shrinkage of the *** 19.3–21.4 km^3 estimated glacier mass loss has contributed to an increase in river runoff and water resources.

关键词： Glacier change Glacier inventory Eastern Pamir Remote sensing Mass loss

Complex network perspective on modelling chaotic systems via machine learning

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Chinese Physics B 2021年第6期30卷 211-215页

作者： tong-feng Weng Xin-Xin Cao Hui-Jie Yang Institute of Information Economy and Alibaba Business College Hangzhou Normal UniversityHangzhou 311121China College of Science University of Shanghai for Science and TechnologyShanghai 200093China Business School University of Shanghai for Science and TechnologyShanghai 200093China

Recent advances have demonstrated that a machine learning technique known as "reservoir computing" is a significantly effective method for modelling chaotic systems. Going beyond short-term prediction, we show that long-term behaviors of an observed chaotic system are also preserved in the trained reservoir system by virtue of network measurements. Specifically, we find that a broad range of network statistics induced from the trained reservoir system is nearly identical with that of a learned chaotic system of interest. Moreover, we show that network measurements of the trained reservoir system are sensitive to distinct dynamics and can in turn detect the dynamical transitions in complex systems. Our findings further support that rather than dynamical equations, reservoir computing approach in fact provides an alternative way for modelling chaotic systems.

关键词： reservoir computing approach complex networks chaotic systems