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An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter variations

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 2,   Pages 160-172 doi: 10.1631/FITEE.1500168

Abstract: suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) and the adaptiveweighted sum (AWS) method.Both power and timing yield are set as objective functions in this framework

Keywords： Parameter variations     Parametric yield     Multi-objective optimization     Chebyshev affine     Adaptive weightedsum    

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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: Subsequently, using the weighted sum method (WSM), the two objective problem are converted to a single

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

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Distributed optimization based on improved push-sum framework for optimization problem with multiple

徐谦,俞楚天,袁翔,韦梦立,刘洪喆

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9,   Pages 1253-1260 doi: 10.1631/FITEE.2200596

Abstract: To this end, with the push-sum framework improved, the distributed optimization algorithm is newly designed

Keywords： Distributed optimization     Nonidentical constraints     Improved push-sum framework    

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Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game Research Article

Hongyang LI, Qinglai WEI

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1010-1019 doi: 10.1631/FITEE.2200010

Abstract: This paper presents a novel method for with . The multi-agent game theory is introduced to transform the problem into a multi-agent . Then, the Nash equilibrium can be achieved by solving the coupled Hamilton–Jacobi–Bellman (HJB) equations with nonquadratic input energy terms. A novel method is presented to obtain the Nash equilibrium solution without the system models, and the critic neural networks (NNs) and actor NNs are introduced to implement the presented method. Theoretical analysis is provided, which shows that the iterative control laws converge to the Nash equilibrium. Simulation results show the good performance of the presented method.

Keywords： Optimal synchronization control     Multi-agent systems     Nonzero-sum game     Adaptive dynamic programming    

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An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 511-518 doi: 10.1631/FITEE.1400269

Abstract: In this paper, an improved low-complexity sum-product decoding algorithm is presented for low-densityMoreover, when compared with the sum-product algorithm (SPA), the proposed decoding algorithm can achieve

Keywords： Computational complexity     Coding gain     Fast Fourier transform (FFT)     Low-density parity-check (LDPC) codes     Sum-product    

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Experimental investigation of fatigue behavior of spur gear in altered tooth-sum gearing

H. K. SACHIDANANDA, Joseph GONSALVIS, H. R. PRAKASH

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 268-278 doi: 10.1007/s11465-012-0331-6

Abstract: This paper deals with the contact stress, power loss, and pitting of spur gear tooth in altered tooth-sumgearing for a tooth-sum of 100 teeth when altered by±4% tooth-sum.Analytical and experimental methods were performed to investigate and compare the altered tooth-sum gearingagainst the standard tooth-sum gearing.The negative alteration in the tooth-sum performed better than the positive alteration in a tooth-sum

Keywords： spur gear     power recirculating test rig     altered tooth-sum gearing     scanning electron microscopy (SEM)    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: The interaction of multiple fires may lead to a higher flame height and more intense radiation flux than a single fire, which increases the possibility of flame spread and risks to the surroundings. Experiments were conducted using three burners with identical heat release rates (HRRs) and propane as the fuel at various spacings. The results show that flames change from non-merging to merging as the spacing decreases, which result in a complex evolution of flame height and merging point height. To facilitate the analysis, a novel merging criterion based on the dimensionless spacing / was proposed. For non-merging flames ( / >0.368), the flame height is almost identical to a single fire; for merging flames ( / ≤0.368), based on the relationship between thermal buoyancy and thrust (the pressure difference between the inside and outside of the flame), a quantitative analysis of the flame height, merging point height, and air entrainment was formed, and the calculated merging flame heights show a good agreement with the measured experimental values. Moreover, the multi-point source model was further improved, and radiation fraction of propane was calculated. The data obtained in this study would play an important role in calculating the external radiation of propane fire.

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: In this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyWe first adopt intensity prior and label prior as two key metrics when implementing the local weightedwe compare the results with those of other methods, including joint fusion, majority voting, local weighted

Keywords： Label fusion     Local weighted voting     Patch-based     Background analysis    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 271-284 doi: 10.1007/s11465-020-0623-1

Abstract: The knowledge of various ground properties and adaptive locomotion based on different surface materialsA terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposedThen, an adaptive locomotion on different ground properties is proposed.

Keywords： terrain classification     hexapod robot     legged robot     adaptive locomotion     gait control    

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Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 4,   Pages 474-480 doi: 10.1007/s11709-007-0064-5

Abstract: The conservation and adaptive-reuse of historical industrial building is one of the most important issuesIn this paper, the necessity and academic meaning of the conservation and adaptive-reuse of historicalrend both at home and abroad, and the basic contents of the implementation of the conservation and adaptive-reuse

Keywords： historical industrial     industrial building     implementation     adaptive-reuse     empirical    

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An adaptive sliding mode control technology for weld seam tracking

Jie LIU,Youmin HU,Bo WU,Kaibo ZHOU,Mingfeng GE

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 1,   Pages 95-101 doi: 10.1007/s11465-015-0332-3

Abstract:

A novel adaptive sliding mode control algorithm is derived to deal with seam tracking control problem

Keywords： weld seam tracking     welding robotic manipulator     adaptive control     sliding mode control    

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Minimax Q-learning design for H∞ control of linear discrete-time systems Research Articles

Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG,lixinxing_1006@163.com,xilele.bit@gmail.com,zhawenzhong@126.com,peng@bit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 438-451 doi: 10.1631/FITEE.2000446

Abstract: The method is an effective approach for attenuating the effect of disturbances on practical systems, but it is difficult to obtain the ler due to the nonlinear Hamilton–Jacobi–Isaacs equation, even for linear systems. This study deals with the design of an ler for linear discrete-time systems. To solve the related game algebraic Riccati equation (GARE), a novel model-free method is developed, on the basis of an offline algorithm, which is shown to be Newton’s method for solving the GARE. The proposed method, which employs off-policy , learns the optimal control policies for the controller and the disturbance online, using only the state samples generated by the implemented behavior policies. Different from existing -learning methods, a novel gradient-based policy improvement scheme is proposed. We prove that the method converges to the saddle solution under initially admissible control policies and an appropriate positive learning rate, provided that certain persistence of excitation (PE) conditions are satisfied. In addition, the PE conditions can be easily met by choosing appropriate behavior policies containing certain excitation noises, without causing any excitation noise bias. In the simulation study, we apply the proposed method to design an load-frequency controller for an electrical power system generator that suffers from load disturbance, and the simulation results indicate that the obtained load-frequency controller has good disturbance rejection performance.

Keywords： H∞ control     Zero-sum dynamic game     Reinforcement learning     Adaptive dynamic programming     Minimax Q-learning    

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An array of two periodic leaky-wave antennas with sum and difference beam scanning for application in Research Article

Mianfeng HUANG, Juhua LIU,liujh33@mail.sysu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 567-581 doi: 10.1631/FITEE.2200473

Abstract: the two LWAs, two beams with two different directions can be realized, which can be combined into a sumMeasurement results show that the sum beam can reach a gain up to 15.9 dBi and scan from -33.4° to 20.8scanning range, the direction of the null in the difference beam is consistent with the direction of the sum

Keywords： Antenna     Leaky-wave antenna (LWA)     Substrate-integrated waveguide (SIW)     Sum and difference beam     Target    

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Title Author Date Type Operation

An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter variations

Xin LI,Jin SUN,Fu XIAO,Jiang-shan TIAN

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

Distributed optimization based on improved push-sum framework for optimization problem with multiple

徐谦,俞楚天,袁翔,韦梦立,刘洪喆

Journal Article

Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game

Hongyang LI, Qinglai WEI

Journal Article

An improved low-complexity sum-product decoding algorithm for low-density parity-check codes

Michaelraj Kingston ROBERTS,Ramesh JAYABALAN

Journal Article

Experimental investigation of fatigue behavior of spur gear in altered tooth-sum gearing

H. K. SACHIDANANDA, Joseph GONSALVIS, H. R. PRAKASH

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

Journal Article

Conservation and adaptive-reuse of historical industrial building in China in the post-industrial era

WANG Jianguo, JIANG Nan

Journal Article

An adaptive sliding mode control technology for weld seam tracking

Jie LIU,Youmin HU,Bo WU,Kaibo ZHOU,Mingfeng GE

Journal Article

Minimax Q-learning design for H∞ control of linear discrete-time systems

Xinxing LI, Lele XI, Wenzhong ZHA, Zhihong PENG,lixinxing_1006@163.com,xilele.bit@gmail.com,zhawenzhong@126.com,peng@bit.edu.cn

Journal Article

An array of two periodic leaky-wave antennas with sum and difference beam scanning for application in

Mianfeng HUANG, Juhua LIU,liujh33@mail.sysu.edu.cn

Journal Article