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An efficient retrieval of relational database information based on knowledge graph

International Journal of Information and Communication technology 2023年第3期23卷 201-214页

作者： Zhu, Hongqin Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Jiangxi Nanchang330013 China Department of Information Engineering East China University of Technology 418 Guanglan Avenue Jiangxi Province Nanchang330013 China

In order to optimise the effect of database information retrieval and overcome the problem of high index cost of traditional retrieval methods, an efficient retrieval design method of relational database based on knowledge graph is designed in this paper. Firstly, the distribution model of database information retrieval nodes is constructed to analyse the data structure, and the semantic characteristics of stored data of retrieval nodes are fused. Then the knowledge graph model analysis method is used to retrieve the database node attribute clustering and adaptive scheduling to realise the design of efficient information retrieval model for the database. The experimental results show that the index distance cost of this method is always below 5 × 1,010 byte, and the index distance cost is always below 40 s, which has certain application value. © 2023 Inderscience Enterprises Ltd.

关键词： Information retrieval

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Earthquake big data processing and visualization based on PyEcharts 3

Earthquake big data processing and visualization based on Py...

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3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wu, Jiandong Wang, Qiang Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang China Software School of East China University of Technology Nanchang China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

This paper mainly uses the Python language and the pyecharts library to mine the earthquake data that occurred around the world in 2020, and finally displays it with pie charts, bar charts and other graphics. It lays a foundation for better use and processing of earthquake big data in the future, and also demonstrates the application of big data in other industries. © 2023 SPIE.

关键词： Visualization

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Self-organizing Competitive Neural Network Based Adaptive Sparse Representation for Magnetotelluric data Denoising 10

Self-organizing Competitive Neural Network Based Adaptive Sp...

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10th International Conference on Environmental and engineering Geophysics, ICEEG 2023

作者： Liu, Xiaoqiong Li, Guang Li, Jin Zhou, Xiaohui Gu, Xianjie Zhou, Cong Gong, Meng Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China College of Information Science and Engineering Hunan Normal University Changsha410081 China

The existing sparse decomposition denoising methods for magnetotelluric (MT) data need to set the iterative stop condition manually, which not only has a large workload and high difficulty, but also easily causes subjective bias. To this end, we propose a new adaptive sparse representation method for MT data denoising. First, the data to be processed is divided into high-quality segments and noisy segments by machine learning algorithm. Then, the characteristic parameters of high-quality segments are calculated, and the boundary value of the characteristic parameters is taken as the threshold. The threshold has two functions, one is as a criterion for signal-to-noise identification, and the other is as an iterative stop condition for subsequent sparse decomposition. Finally, the optimized orthogonal matching pursuit algorithm is used to separate the signal and noise of the noisy segments, and the denoised segments and high-quality segments are combined to obtain the complete denoised MT data. The field data processing results show that this method is a fully automatic and intelligent MT data denoising method. It greatly improves the signal-to-noise ratio and the apparent resistivity-phase curves. © Published under licence by IOP Publishing Ltd.

关键词： Signal to noise ratio

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Signal modeling and impulse response shaping for semiconductor detectors

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nuclear science and Techniques 2022年第4期33卷 72-82页

作者： Xue-Yuan Wang Jian-Bin Zhou Ming Wang Huai-Ping Wang Xu Hong Yi Liu Ping Huang College of Nuclear Technology and Automation Engineering Chengdu University of TechnologyErxian BridgeNo.1 East 3 RoadChenghua DistrictChengdu 610059China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of TechnologyNanchang 330013China China Testing Technology Co. LtdChengdu 610021China

The output-signal models and impulse response shaping(IRS)functions of semiconductor detectors are important for establishing high-precision measurement *** this paper,an output-signal model for semiconductor detector systems is *** to the proposed model,a multistage cascade deconvolution IRS algorithm was developed using the C-R inverse system,R-C inverse system,and differentiator *** silicon drift detector signals acquired from the analog-to-digital converter were *** experimental results indicated that the shaped pulses obtained using the proposed model had no undershoot,and the average peak base width of the output shaped pulses was reduced by 36%compared with that for a simple model proposed in a previous work[1].Offline processing results indicated that compared with the traditional IRS algorithm,the average peak base width of the output shaped pulses obtained using the proposed algorithm was reduced by 11%,and the total elapsed time required for pulse shaping was reduced by 26%.The proposed algorithm avoids recursive *** the sampling frequency of the digital system reaches 100 MHz,the proposed algorithm can be simplified to integer *** proposed IRS algorithm can be applied to high-resolution energy spectrum analysis,highcounting rate energy spectrum correction,and coincidence and anti-coincidence measurements.

关键词： Output-signal model Impulse response shaping C-R inverse system R-C inverse system Integer arithmetic

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Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve 9th

Security Compressed Sensing Image Encryption Algorithm Based...

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9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023

作者： Jin, Anan Li, Xiang Xiong, Qingzhi School of Information Engineering East China University of Technology Jiangxi Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Jiangxi Nanchang330013 China Jiangxi Key Laboratory of Cybersecurity Intelligent Perception East China University of Technology Jiangxi Nanchang330013 China

ISBN: (纸本)9789819959679

Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images, as well as potential security risks, this paper proposes a security compressed sensing image encryption algorithm based on elliptic curve cryptography. The algorithm introduces elliptic curve encryption technology within a compressed sensing framework, using elliptic curve cryptography to encrypt the matrix during the compression perception acquisition process. This enables secure acquisition of environmental monitoring encrypted images. Therefore, this paper presents a security compressed sensing framework to address security gaps in the compression perception reconstruction process and improve the security of environmental monitoring images. Experimental results show that the proposed algorithm effectively encrypts and reconstructs environmental monitoring images, with high security and resistance to cracking. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Compressed sensing

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Precision Seeding Monitoring system for Cooperative Operation of Multicast Lines 38th

Precision Seeding Monitoring System for Cooperative Operatio...

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38th CCF National Conference of Computer Applications, CCF NCCA 2023

作者： Peng, Fangwei Li, Xiang Fan, Yong Liao, Wen Zhang, Weile Zhang, Ziyi East China University of Technology Nanchang330013 China Jiangxi Research Center of Nuclear Geo-Data Science and System Engineering East China University of Technology Nanchang330013 China Geely Automobile Research Institute Ningbo315336 China

ISBN: (纸本)9789819987603

In the operation process of traditional air-suction seeders, the phenomenon of missing seeding and reseeding is often caused by the blockage of the seed guide tube, the lack of a seed box and mechanical failure. If it is not found in time, it may lead to the phenomenon of a large area of missing seeding or reseeding, which will affect the crop yield. To solve the above problems, the team designed and developed a precision seeding monitoring system that can support the cooperative operation of up to 24 seeding lines. The system includes the design of an infrared photoelectric monitoring unit, a speed monitoring unit, a controller unit, a central control instrument unit and a fault alarm unit. The results of the bench test show that the designed monitoring system can monitor the cooperative operation of 24 seeding lines in real time, identify the seeding line number in time and accurately when the phenomenon of missing or rebroadcasting occurs, and give fault alarm. The alarm success rate reaches 100%, and the average response time is less than 0.5 s. The results of field experiments showed that the average accuracy of the system was over 98.5%, and the average accuracy of the pass rate, miss rate and replay rate was over 96.6%, 97.4% and 98.8%, respectively, under the normal operation speed of 4–12 km/h. It is of great significance to improve seeding quality and reduce production cost. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Photoelectricity

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Self-assembly of a new 3D platelike ternary-oxo-cluster:An efficient catalyst for the synthesis of pyrazoles

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Chinese Chemical Letters 2022年第1期33卷 354-357页

作者： Guoping Yang Yufeng Liu Xiaoling Lin Bangming Ming Ke Li Changwen Hu Jiangxi Province Key Laboratory of Synthetic Chemistry Jiangxi Key Laboratory for Mass Spectrometry and InstrumentationEast China University of TechnologyNanchang 330013China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of TechnologyNanchang 330013China Key Laboratory of Cluster Science of Ministry of Education School of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China

A new metal-oxo-clusters-based inorganic framework[NaCo_(2)Mo_(2)O_(7)(OH)_(3)]_(n)(NaCoMo),named as 3D platelike ternary-oxo-cluster,has been hydrothermally synthesized and characterized by single-crystal X-ray diffraction structure analysis,FT-IR spectroscopy,powder X-ray diffraction(PXRD),scanning electron microscope(SEM),energy-dispersive X-ray spectroscopy(EDS)analyses,X-ray photoelectron spectroscopy(XPS)and thermogravimetric analysis(TGA).Structure analysis reveals that there are no classical building units in NaCoMo,and the asymmetric units of NaCoMo are directly extended into a new platelike 3D *** functional theory calculations(DFT)indicates that the crystal formation process is exothermic and the structure is extremely *** addition,the compound presents excellent catalytic activity in the condensation and cyclization reaction of sulfonyl hydrazides and 1,3-diketones to synthesize pyrazoles,and the yield of the desired product is up to 99%.The successful synthesis of NaCoMo represents the discovery of a new kind of non-classical polyoxometalates.

关键词： Polyoxometalates Oxo clusters 3D inorganic framework Condensation reaction Pyrazoles

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Integrating Probabilistic Graphical Models, Information Theory, and the Principle of Increase of Entropy for Quantifying and Analyzing the Uncertainty in Fault Interpretation

SSRN

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SSRN 2023年

作者： Lei, Zhicheng Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang330013 China

Fault interpretation in geology inherently involves uncertainty, and there is a growing need to develop methods to quantify and analyze this uncertainty. In this paper, we propose a novel framework that integrates Markov chains, graph theory, information theory, and the principle of increase of entropy to comprehensively analyze uncertainty in fault interpretation and its geological implications. Our framework provides a more complete and quantitative approach compared to traditional methods. We demonstrate how entropy can be used to quantify the uncertainty in fault interpretation and kinematic analysis results, and how it can be interpreted for faulting analysis and the analysis of fault network evolution using the principle of increase of entropy. Our findings suggest that entropy can serve as a metric to compare different fault networks, and it provides a measure of the total available evolutionary paths for a fault network, enabling the quantification of uncertainty in fault kinematic analysis results. The integration of these tools provides a powerful approach for quantifying and analyzing the uncertainty in fault interpretation, which can enhance our understanding of the geological implications of uncertainty and enable geologists to analyze fault networks in a more quantitative manner. © 2023, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Security Compressed Sensing Image Encryption Algorithm Based on Elliptic Curve

Security Compressed Sensing Image Encryption Algorithm Based...

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作者： Anan Jin Xiang Li Qingzhi Xiong School of Information Engineering East China University of Technology Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Jiangxi Key Laboratory of Cybersecurity Intelligent Perception East China University of Technology

Aiming to address the problems of high costs associated with the storage and transmission of environmental monitoring images, as well as potential security risks, this paper proposes a security compressed sensing image encryption algorithm based on elliptic curve cryptography. The algorithm introduces elliptic curve encryption technology within a compressed sensing framework,using elliptic curve cryptography to encrypt the matrix during the compression perception acquisition process. This enables secure acquisition of environmental monitoring encrypted images. Therefore, this paper presents a security compressed sensing framework to address security gaps in the compression perception reconstruction process and improve the security of environmental monitoring *** results show that the proposed algorithm effectively encrypts and reconstructs environmental monitoring images, with high security and resistance to cracking.

关键词：

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Hydrothermal Synthesis and Ultraviolet Detection Performance of Pristine and V-Doped Zno Nanoflowers

SSRN

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SSRN 2023年

作者： Xie, Zhiwen Yuan, Zhaolin He, Jianfeng Wang, Xueyuan Lu, Pengfei School of Information Engineering East China University of Technology Jiangxi Nanchang330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System Jiangxi Nanchang330013 China School of software East China University of Technology Jiangxi Nanchang330013 China

In this study, a simple and low-cost hydrothermal technique was used to synthesize pristine ZnO and different vanadium-doped ZnO (ZnO:V) nanoflowers, the ratios of V/Zn were 0.5, 1, 1.5 and 2 atom%, respectively. The crystal structure and morphology of all the samples were investigated by XRD, SEM and TEM, respectively. XRD analyses displayed that they were ZnO with pure hexagonal wurtzite structure. SEM results revealed that they were all the flower-like nanostructures assembled with many ZnO nanorods. Furthermore, five UV photodetectors were established by using the resulting pristine ZnO and ZnO:V nanoflowers, their performances were evaluated in detail. Of these devices, the 1% V-doped ZnO nanoflowers UV photodetector had the optimal performance, its responsivity and detectivity were up to 107.96 A/W and 3.29×1013 Jones, respectively. This work paves a way for achieving high-performance ZnO:V UV photodetectors. © 2023, The Authors. All rights reserved.

关键词： Hydrothermal synthesis

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