Jin Dongming

Peking University

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Weiwei Shan

Southeast University

Zhi-Jian Li

Institute of Theoretical Physics

Zhihao Xu

Guangdong Academy of Sciences

Weizhi Wang

Chongqing University

Weizhi Wang

Nanchang Hangkong University

Peng Wang

Tsinghua University

Liang Yan

Beihang University

Chunhui Wang

Inner Mongolia Normal University

Zhenyu Wang

Zhejiang Sci-Tech University

Xi Chen

Tsinghua University

Cooperative Institutions

Peking University

Tsinghua University

Chinese Academy of Sciences

Chinese Academy of Medical Sciences & Peking Union Medical College

Wuhan University

Xi'an Jiaotong University

Daqing Oilfield General Hospital

Beijing University of Posts and Telecommunications

Beijing Jiaotong University

University of Electronic Science and Technology of China

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Influence of nanometer size titanium dioxide on the content of marine biogenic elements and the growth of Thalassiosira weissflogii

Haiyang kexue (2012)

Jin Dongming

The influences of the concentrations of nanometer size TiO2(0,4,8,12,16,20 mg/L) on the content of marine biogenic elements(N,P,Si,Fe) and the growth of Thalassiosira weissflogii were investigated.The results showed that with the increase of the TiO2 concentration,the contents of marine biogenic elements were all decreased and the adsorption ratios were all increased.The influences of TiO2 addition on the content of P and Fe were more significant than those on N and Si.The TiO2adsorption significantly affected the N/P and the Si/P ratios,but not much on Si/N ratio.The N/P and Si/P ratios were varied obviously,ranging from 68 to 126,and 74 to 135,respectively,while Si/N ratio was kept at 1.The nanometer size TiO2could inhibite the growth of T.weissflogii concentration-dependently,which has relationship with the variations of marine biogenic element contents.

Thalassiosira weissflogii

Nanometre

Titanium Dioxide

Biogenic silica

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Optimization method of fuzzy logic controller and its application in compensation of sensors

Transducer and Microsystem Technologies (2007)

Jin Dongming

An error collection method for a kind of pressure sensor based on zero-order T-S fuzzy logic controller is presented.Simulated annealing algorithm is used to optimize the parameters of the fuzzy rules.After the temperature compensation,the error is corrected within ±0.3 %,and the temperature coefficients are reduced greatly.Compared to other compensation techniques,it is a new,efficient compensation method that not only increases the compensation precision but also maintains the fast calculation ability of the zero-orde T-S fuzzy logic controller.

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Recursive training for multi-resolution fuzzy min-max neural network classifier

Xi Chen Jin Dongming Zhi-Jian Li

A new training algorithm for the Fuzzy Min-Max Neural Network (FMMNN) is proposed. The FMMNN model is a powerful tool for pattern classification problems, and is perfect for hardware implementation. But the original model has several unwilling properties. Among them a serious one is how to decide the crucial training parameters. This paper proposes a recursive training algorithm to alleviate the difficulty, and improves the training procedure highly automatic. The result model is a multi-resolution combined classifier (MRCC). Experiments are made following some recent evaluation criteria known in literature, and show that compared with the original model, the MRCC has better classification performance, better adaptive learning ability and consume less computation resource.

10.1109/icsict.2001.981440

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Improved Blocks for CMOS Analog Neuro-fuzzy Network

Lecture notes in computer science (2005)

Weizhi Wang Jin Dongming

Centroid

Minification

10.1007/11539902_131

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Neuro-fuzzy system with high-speed low-power analog blocks

Fuzzy Sets and Systems (2006)

Weizhi Wang Jin Dongming

Defuzzification

Centroid

Minification

10.1016/j.fss.2006.07.001

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Citations (25)

Analog circuit on CMOS for low power fuzzy logic controller

Journal of Tsinghua University(Science and Technology) (2008)

Jin Dongming

An analog circuit implementation of a fuzzy logic controller was developed to improve the speed relative to the software implementation.Several functional blocks ware designed including compact-structured Z-shaped,Gaussian and S-shaped membership function circuits,a current minimization circuit and a COA(Center of Area) defuzzification circuit that do not use division.A 2-input 1-output zero-order T-S fuzzy logic controller with 9-rule was fabricated from circuits on CMOS 0.6 μm technology.Tests with ±2.5 V supply voltages show the controller had an accuracy of ±3.5% with a power consumption of 3.5 mW,and speeds fuzzy logic inference per second of up to 0.67×106 s-1. This fuzzy logic controller has improved power consumption,accuracy and area,and be can be used for real-time control problems.

Defuzzification

Fuzzy electronics

Pull-up resistor

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Arithmetic mean calculating circuit used in hardware implementation of Adaptive Fuzzy Logic Controllers

Zhi-Hao Xu Jin Dongming Zhi-Jian Li

Fuzzy Logic Systems are a kind of nonlinear systems. Because of their self-learning capabilities, researchers have studied the theory of how to synthesis the rule bases of the fuzzy logic controllers for many years, in order to design the Adaptive Fuzzy Logic Controllers (AFLC). On the other hand, many hardware implementations of traditional Fuzzy Logic Controllers (FLC) have been presented by today. As the successful results have been presented in both areas, it is reasonable to begin the study of hardware implementation of adaptive fuzzy logic controllers. We have developed a kind of fuzzy logic systems' self-learning algorithm, and begin to design an AFLC's chip now. In this paper, we have presented a kind of analog cell to achieve some arithmetic mean computing operation. This arithmetic computing operation is needed in the learning algorithm. The whole circuit is a kind of switched-capacitor circuit. We have achieved this cell's circuit design and HSPICE simulation, and the results are successful.

Fuzzy electronics

Fuzzy associative matrix

10.1109/icasic.2003.1277605

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VLSI Implementation of a Self-tuning Fuzzy Controller Based on Variable Universe of Discourse

Lecture notes in computer science (2005)

Weiwei Shan Jin Dongming Weiwei Jin Zhihao Xu

Defuzzification

Self-tuning

10.1007/11539506_129

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Analysis of the quality control on pastry food

Food engineering (2009)

Jin Dongming

Pastry food has become a necessary food in our daily life. There are some problems exiting in the small pastry food producing companies. By analysing these problems,some effective meathers are put forward. to prevent and control these problems.

Pastry

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Study on the Planning and Development of Oil Production Engineering in Daqing Oilfield

Springer series in geomechanics and geoengineering (2022)

Dian-xu Zhang Hongwei Wang Feng Li Zhenyu Wang Jin Dongming

Blueprint

Oil Production

Wellbore

10.1007/978-981-19-2149-0_180

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Citations (2)