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Journal Article 9

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2023 2

2022 2

2020 1

2019 2

2015 1

2012 1

Keywords

Approximate Bayesian computation 1

Approximate analytical 1

Approximate computing 1

Approximate dynamic programming 1

Approximate greatest common divisor (AGCD) 1

Approximate nearest neighbor search 1

Bayesian evidential learning 1

Carbon nanotube field-effect transistor (CNTFET) 1

Code recommendation 1

Code reuse 1

Decision making 1

Falsification 1

Fractured reservoir 1

Gate diffusion input (GDI) 1

Image coding 1

Kirchhoff-type circuit 1

Motion planning 1

Noise 1

Nondominated sorting based genetic algorithm II (NSGA-II) 1

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AGCD: a robust periodicity analysis method based on approximate greatest common divisor

Juan YU,Pei-zhong LU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 466-473 doi: 10.1631/FITEE.1400345

Abstract: To solve the problem, a novel method based on the approximate greatest common divisor (AGCD) is proposed

Keywords： Periodicity analysis     Period detection     Sparsity     Noise     Approximate greatest common divisor (AGCD)    

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An Approximate Analytical Method for a Slot Ring Radome Article

Kang Luo, Jin Meng, Jiangfeng Han, Danni Zhu

Engineering 2023, Volume 30, Issue 11,   Pages 75-82 doi: 10.1016/j.eng.2023.07.015

Abstract: out-of-band microwave wireless power-transmission characteristic analysis of a slot ring radome based on an approximateThe main contribution of this paper is that, in the approximate analysis of the ring radome, a unified

Keywords： Approximate analytical     Ring     Radome     Kirchhoff-type circuit    

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Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 10,   Pages 1413-1534 doi: 10.1631/FITEE.2000089

Abstract: We use a dynamic programming algorithm to determine the proper voltage and approximate level based on
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Vector quantization: a review Regular Papers

Ze-bin WU, Jun-qing YU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 507-524 doi: 10.1631/FITEE.1700833

Abstract: Over the past decade, quantization-based approximate nearest neighbor (ANN) search has been developing

Keywords： Approximate nearest neighbor search     Image coding     Vector quantization    

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Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least Research Article

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 4,   Pages 599-616 doi: 10.1631/FITEE.2200077

Abstract: Carbon nanotube field-effect transistors (CNTFETs) are reliable alternatives for conventional transistors, especially for use in (AC) based error-resilient digital circuits. In this paper, CNTFET technology and the technique are merged, and three new AC-based full adders (FAs) are presented with 6, 6, and 8 transistors, separately. The is used to attain the optimal performance of the proposed cells by considering the number of tubes and chirality vectors as its variables. The results confirm the circuits’ improvement by about 50% in terms of power-delay-product (PDP) at the cost of area occupation. The Monte Carlo method (MCM) and 32-nm CNTFET technology are used to evaluate the lithographic variations and the stability of the proposed circuits during the fabrication process, in which the higher stability of the proposed circuits compared to those in the literature is observed. The dynamic threshold (DT) technique in the transistors of the proposed circuits amends the possible voltage drop at the outputs. Circuitry performance and error metrics of the proposed circuits nominate them for the least significant bit (LSB) parts of more complex arithmetic circuits such as multipliers.

Keywords： Optimization algorithm     Nondominated sorting based genetic algorithm II (NSGA-II)     Gate diffusion input (GDI)     Approximate    

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Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs Article

Junling Fang, Bin Gong, Jef Caers

Engineering 2022, Volume 18, Issue 11,   Pages 116-128 doi: 10.1016/j.eng.2022.04.015

Abstract: We then employ an approximate Bayesian computation (ABC) method combined with a tree-based surrogate

Keywords： Bayesian evidential learning     Falsification     Fractured reservoir     Random forest     Approximate Bayesian computation    

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Approximate calculation method of main cables PPWS construction traction force for extralarge span suspension

Wang Jun and Lin Fan

Strategic Study of CAE 2012, Volume 14, Issue 5,   Pages 37-40

Abstract:

For the large number of wire strands and the long distance of strand traction, the wire strands are erected normally with gantry pulling traction system that allows continuous pylon passing in the construction of main cables with PPWS(prefabricated parrel wire strand) method for an extra-large span suspension bridge. The accurate calculation of traction force is of realistic significance to the selection of traction equipment and ensuring smooth construction. In early days of suspension bridge construction, the capacity demand and type of traction equipment were determined mainly based on experience. In this article, exploration was made for the traction force calculation method of the gantry pulling traction system for PPWS construction, and the results were compared with measured data on work site. It proves that the calculation result is reliable and can be used in construction calculation.

Keywords： suspension bridge     main cable     PPWS     wire strand     traction force    

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Fast code recommendation via approximate sub-tree matching Research Article

Yichao SHAO, Zhiqiu HUANG, Weiwei LI, Yaoshen YU,shaoyichao@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1205-1216 doi: 10.1631/FITEE.2100379

Abstract: We propose an approximate sub-tree matching based method to solve this problem.

Keywords： Code reuse     Code recommendation     Tree similarity     Structure information    

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Motion planning of a quadrotor robot game using a simulation-based projected policy iteration method Regular Papers

Li-dong ZHANG, Ban WANG, Zhi-xiang LIU, You-min ZHANG, Jian-liang AI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 4,   Pages 525-537 doi: 10.1631/FITEE.1800571

Abstract: of a velocity varying one-on-one quadrotor robot game problem in the threedimensional space and an approximate

Keywords： Reinforcement learning     Approximate dynamic programming     Decision making     Motion planning     Unmanned aerial    

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Title Author Date Type Operation

AGCD: a robust periodicity analysis method based on approximate greatest common divisor

Juan YU,Pei-zhong LU

Journal Article

An Approximate Analytical Method for a Slot Ring Radome

Kang Luo, Jin Meng, Jiangfeng Han, Danni Zhu

Journal Article

Multi-dimensional optimization for approximate near-threshold computing

Jing Wang, Wei-wei Liang, Yue-hua Niu, Lan Gao, Wei-gong Zhang,jwang@cnu.edu.cn,zwg771@cnu.edu.cn

Journal Article

Vector quantization: a review

Ze-bin WU, Jun-qing YU

Journal Article

Efficient and optimized approximate GDI full adders based on dynamic threshold CNTFETs for specific least

Ayoub SADEGHI, Razieh GHASEMI, Hossein GHASEMIAN, Nabiollah SHIRI,H.ghasemian@sutech.ac.ir

Journal Article

Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs

Junling Fang, Bin Gong, Jef Caers

Journal Article

Approximate calculation method of main cables PPWS construction traction force for extralarge span suspension

Wang Jun and Lin Fan

Journal Article

Fast code recommendation via approximate sub-tree matching

Yichao SHAO, Zhiqiu HUANG, Weiwei LI, Yaoshen YU,shaoyichao@nuaa.edu.cn,zqhuang@nuaa.edu.cn

Journal Article

Motion planning of a quadrotor robot game using a simulation-based projected policy iteration method

Li-dong ZHANG, Ban WANG, Zhi-xiang LIU, You-min ZHANG, Jian-liang AI

Journal Article