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Development Strategy of Quantum-Based Deep Geophysical Exploration Technology and Equipment

Lin Jun, Ji Yanju, Zhao Jing , Tong Xunqian , Yi Xiaofeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 156-166 doi: 10.15302/J-SSCAE-2022.04.017

Abstract: exploration equipment, and analyzes demand for the superconducting quantum-based electromagnetic detectionelectromagnetic detection system, aviation superconducting quantum magnetic vector gradient detectionMain equipment of quantum-based geophysical exploration.successfully used in ground electromagnetic systems and well-based electromagnetic detection systemsincluding ground superconducting electromagnetic detection system, ground superconducting gravimeter

Keywords： mineral resources     deep detection     quantum-based high-precision measurement     superconducting quantum-basedelectromagnetic detection     superconducting gravity detection     cold-atom absolute-gravity detection    

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The Basic Study for Quench Detection in Superconducting Electric Equipments

Yu Xiaoyan,Li Jingdong,Tang Yuejin

Strategic Study of CAE 2003, Volume 5, Issue 10,   Pages 73-77

Abstract:

Quench of superconducting electric equipments is an important problem for superconducting electricThis paper presents the quench detection of SMES in power system operation, and puts forward forecasttheory for quench detection.

Keywords： superconducting electric equipments     quench detection     superconducting electric power system     forecast theory    

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Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 133-144 doi: 10.15302/J-SSCAE-2022.04.016

Abstract: quantum computation, distributed superconducting quantum computation, photonic quantum computation,trapped-ion quantum computation, and silicon-based quantum computation); distributed superconductingTwo computational paradigms use superconducting qubits such as the gate-based and quantum annealing (nanowire single-photon detectors characterized by a high detection efficiency (>90%) and high repetitioncomputing (e.g., the design and machining of diamond samples, nuclear spin detection, and multi-qubit

Keywords： quantum computation     quantum algorithm     control system of quantum computation     quantum software     superconductingquantum computation     distributed quantum computation     trapped-ion quantum computation     silicon-basedquantum computation     photonic quantum computation     neutral atom quantum computation     nitrogen-vacancycolor center in diamond     nuclear magnetic resonance quantum computation     quantum computation with spinwave     topological quantum computation    

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Feasibility study of the transient electromagnetic method for chamber blasting misfire detection and

Liu Liansheng,Liang Longhua,Wu Jiyang, Jiao Yongbin,Lu Zhexiang

Strategic Study of CAE 2014, Volume 16, Issue 11,   Pages 107-112

Abstract:

Application of transient electromagnetic method, carries on the cavernblasting blind detection and recognition of feasibility study.Test to establish the electromagnetic background field, and then in the cavern preset benign conductorelectromagnetic measurement again after blasting.preset the change of the conductive body eddy current field, realizes the cavern blasting blind shot detection

Keywords： Transient electromagnetic methods     Chamber blasting     Misfire detection and identification     Eddy current    

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A computational toolbox for molecular property prediction based on quantum mechanics and quantitative

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 152-167 doi: 10.1007/s11705-021-2060-z

Abstract: efficiently and economically convert raw materials to commodity chemicals and higher value-added chemical-basedIn this paper, a framework combining quantum mechanics and quantitative structure-property relationshipfirst step, a database is created for collections of basic molecular information; in the second step, quantummechanics-based calculations are performed to predict quantum mechanics-based/derived molecular properties

Keywords： molecular property     quantum mechanics     quantitative structure-property relationship     heat of reaction    

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Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1718-1727 doi: 10.1007/s11705-023-2319-7

Abstract: Herein, an effective and robust photocatalyst perylene-3,4,9,10-tetracarboxylic diamide/boron nitride quantum

Keywords： PDI     boron nitride     quantum dots     photocatalysis     hole transfer    

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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

Keywords： Antibiotic contamination     Spectral detection     Machine learning    

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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading

Keywords： Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

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Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Strategic Study of CAE 2014, Volume 16, Issue 3,   Pages 108-112

Abstract:

The determinations of the rotation phase of quantum gates and mutation probability are the two mainissues that restrict the efficiency of quantum genetic algorithm.This paper presents a quantum real coding genetic algorithm（QRGA）.QRGA used an adaptive means to adjust the direction and the size of the rotation angle of quantum rotationorder to ensure the direction of evolution and population diversity，the mutation probability is guided based

Keywords： quantum encoding     quantum genetic algorithm     frog leaping algorithm     swarm intelligence    

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Single-electromagnet levitation for density measurement and defect detection

Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 186-195 doi: 10.1007/s11465-020-0608-0

Abstract: levitation device has a large measuring range and can realize accurate density measurement and defect detection

Keywords： single-electromagnet     electromagnetic levitation     density measurement     defect detection    

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Quantum-dot cellular automata based reversible low power parity generator and parity checker design for

Jadav Chandra DAS,Debashis DE

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 224-236 doi: 10.1631/FITEE.1500079

Abstract: Quantum-dot cellular automata (QCA) is an emerging area of research in reversible computing.In nanocommunication, the detection and correction of errors in a received message is a major factor.For the first time, QCA-based designs of the reversible low-power odd parity generator and odd parityThe detection of errors in the received message during transmission is also explored.and compared, which establishes that the proposed QCA circuits have very low quantum cost compared to

Keywords： Quantum-dot cellular automata (QCA)     Parity generator     Parity checker     Feynman gate     Nanocommunication    

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5,   Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trendsThe proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speedThe novel algorithm is based on the DeepLabv3+ network framework.

Keywords： tunnel engineering     crack segmentation     fast detection     DeepLabv3+     feature fusion     attention mechanism    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract: This study investigates an image-based classification of the human state while using a walking supportshow that the algorithm can be adapted to the new user’s motion pattern within 40 s, with a fall detectionThe proposed method can be implemented to other abnormality detection/classification applications that

Keywords： fall detection     walking support     hidden Markov model     multivariate analysis    

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Fluorescence detection of phosphate in an aqueous environment by an aluminum-based metal-organic framework

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 12, doi: 10.1007/s11783-022-1594-8

Abstract:

● A novel Al-MOF was successfully synthesized by a facile solvothermal method.

Keywords： Fluorescence     Metal-organic framework     Phosphate     Detection     Al-MOF    

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Title Author Date Type Operation

Development Strategy of Quantum-Based Deep Geophysical Exploration Technology and Equipment

Lin Jun, Ji Yanju, Zhao Jing , Tong Xunqian , Yi Xiaofeng

Journal Article

The Basic Study for Quench Detection in Superconducting Electric Equipments

Yu Xiaoyan,Li Jingdong,Tang Yuejin

Journal Article

Current Status and Future Development of Quantum Computation

Li Xiaowei, Fu Xiang, Yan Fei, Zhong Youpeng, Lu Chaoyang, Zhang Junhua, He Yu, Yu Shi, Lu Dawei, Xin Tao, Chen Jilei, Lin Benchuan, Zhang Zhensheng, Liu Song, Chen Yuanzhen, Yu Dapeng

Journal Article

Feasibility study of the transient electromagnetic method for chamber blasting misfire detection and

Liu Liansheng,Liang Longhua,Wu Jiyang, Jiao Yongbin,Lu Zhexiang

Journal Article

A computational toolbox for molecular property prediction based on quantum mechanics and quantitative

Journal Article

Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article

Quantum coding genetic algorithm based on frog leaping

Xu Bo,Peng Zhiping,Yu Jianping and Ke Wende

Journal Article

Single-electromagnet levitation for density measurement and defect detection

Yuhan JIA, Peng ZHAO, Jun XIE, Xuechun ZHANG, Hongwei ZHOU, Jianzhong FU

Journal Article

Quantum-dot cellular automata based reversible low power parity generator and parity checker design for

Jadav Chandra DAS,Debashis DE

Journal Article

Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Journal Article

Fluorescence detection of phosphate in an aqueous environment by an aluminum-based metal-organic framework

Journal Article