检索结果-内蒙古大学图书馆

Area Coverage Reliability Evaluation for Collaborative Intelligence and Meta-Computing of Decentralized Industrial Internet of Things

引用

IEEE Internet of Things Journal 2025年第10期12卷 13734-13745页

作者： Zhu, Chenlu Fan, Xiaoxuan Deng, Xianjun Liu, Shenghao Yin, Duan Gao, Hanjun Yang, Laurence T. Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China China Mobile Communications Group Terminal Co. Beijing Department Beijing China CNNC Wuhan Nuclear Power Operation Technology Co. Cyber Security Technology Department Wuhan China

Industrial Internet of Things (IIoT) is evolving toward decentralization and autonomous operation. Nodes in decentralized IIoT collaboratively sense data and communicate to participate in meta-computing and provide diverse intelligent services. Area coverage reliability evaluates the information collaborative intelligence sensing and communication capabilities of nodes in decentralized IIoT for a target area. It serves as a crucial performance evaluation metric for the meta-computing and intelligent services of decentralized IIoT. Existing area coverage reliability evaluation algorithms do not consider the dynamic node states in decentralized IIoT, and overlook the capability of nodes to collaborate in meta-computing. To address these issues, this article proposes a novel confident information coverage (CIC)-based area coverage reliability metric (CACREL), which comprehensively considers node multistate, node collaboration, network coverage rate, and network connectivity. To effectively evaluate CACREL, a CIC-based coverage reliability evaluation algorithm (CACR) is proposed. Specifically, CACR transforms complex networks into grid networks and utilizes a coverage table (CT) to describe different coverage states of each grid, which reduces the complexity of the area coverage reliability evaluation. Additionally, CACR employs a reliable path algorithm to converge the CT of each grid to the sink node based on grid connectivity. Simulation results demonstrate that the proposed CACR can accurately evaluate the area coverage reliability of decentralized IIoT and enhance its service performance. © 2014 IEEE.

关键词： Decentralized finance

来源：评论

学校读者我要写书评

暂无评论

Knowledge-Driven and Low-Rank Tensor Regularized Multiview Fuzzy Clustering for Alzheimer’s Diagnosis

引用

International Journal of Intelligent systems 2025年第1期2025卷

作者： Yi Zhu Chao Xi Sen Wang Lu Xu Xiang Chen Zhicheng Wang Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang 330013 Jiangxi China *** School of Science East China Jiaotong University Nanchang 330013 China *** School of Mechanical and Electronic Engineering East China University of Technology Nanchang 330013 China ***

Alzheimer’s disease (AD), as a complex neurodegenerative disorder, is the most common cause of dementia. In recent years, the emergence of multiview data has brought new possibilities for the diagnosis of AD. However, due to uneven density and uncertainty in the multiview data, existing algorithms still face challenges in extracting consistent and complementary information across views. To address this issue, a multiview fuzzy clustering algorithm, which integrates high-density knowledge point extraction and low-rank tensor regularization (K-LRT-MFC), is proposed in this paper. First, high-density knowledge point extraction is employed to tackle the issue of uneven density in high-dimensional data, enhancing the stability and accuracy of single-view clustering. Second, low-rank tensor regularization is applied to effectively capture high-order complementary information among multiview data, significantly improving the precision and computational efficiency of multiview clustering. Experimental results on several publicly available AD diagnostic datasets demonstrate that the proposed method outperforms existing approaches in terms of accuracy, sensitivity, and specificity, providing an efficient and accurate solution for early AD diagnosis.

关键词： Alzheimer’s disease fuzzy clustering high-density knowledge extraction multiview clustering tensor regularization

来源：评论

学校读者我要写书评

暂无评论

An efficient retrieval of relational database information based on knowledge graph

引用

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

来源：评论

学校读者我要写书评

暂无评论

A method for detecting flower collision based on spherical projection 1

引用

13th Conference on Image and Graphics Technologies and Applications, IGTA 2018

作者： Cao, Tingrong Lu, Ling Wang, Wenli Li, Lihua Wang, Lei Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang China Jiangxi Engineering Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang China

ISBN: (数字)9789811317026

ISBN: (纸本)9789811317019

In this paper, a method for detecting and mapping the petals of plant petals is presented. Firstly, the parametric equations are used to represent the initial state of the petals surface. The three - dimensional Cartesian coordinates of each point in the petals are projected onto the spherical coordinates respectively, The discrete values of the projection of the petals are converted to the two-dimensional coordinate plane. Secondly, multiple buffers are used to record the result of each petals projection and the distance of the petals from the origin of the spherical coordinates. According to the value of each buffer, it is determined whether the current petal collides with others, the collides result can be determined the range of collision. Finally, the current petals are deformed or moved to avoid collided with others. Through the collision test between the petals in the process of flower generation, it shows that the detection effect is good. © Springer Nature Singapore Pte Ltd., 2018.

关键词： Spheres

来源：评论

学校读者我要写书评

暂无评论

Signal modeling and impulse response shaping for semiconductor detectors

引用

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

来源：评论

学校读者我要写书评

暂无评论

Design of vehicle management reader based on STM32

Design of vehicle management reader based on STM32

引用

2020 International Conference on Applied Physics and Computing, ICAPC 2020

作者： Ding, Chenglong Liu, Zhifeng Xu, Yuefeng Shu, Zhihao Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi330013 China School of Information Engineering East China University of Technology China

This paper mainly studies the parking lot counting system, which is a modern and new system integrating detection and conversion technology, computer technology, information processing, digital technology and other technologies. This work uses STM32F103 single-chip microcomputer as the MCU processor, and uses 2 infrared modules to detect vehicle access. Through the single-chip microcomputer, information is collected to detect vehicle access. LCD12864 is used to display vehicle parking information for drivers to watch. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Microcomputers

来源：评论

学校读者我要写书评

暂无评论

Optimization of EPMA Image Reconstruction Based on Generalized Orthogonal Matching Pursuit Algorithm 2020

Optimization of EPMA Image Reconstruction Based on Generaliz...

引用

2020 International Conference on Computing, Networks and Internet of Things, CNIOT 2020

作者： Jin, Anan Li, Xiang School of Information Engineering East China University of Technology Nanchang China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi Province China

ISBN: (纸本)9781450377713

In the realm of Compressed Sensing (CS), Orthogonal Matching Pursuit (OMP) algorithm is widely acknowledged. The generalized Orthogonal Matching Pursuit (gOMP) algorithm is an improved OMP approach. However, it demonstrates low reconstruction accuracy for electron probe images based on our experiments. This paper enhances gOMP by adjusting the algorithm parameters according to the characteristics of electron probe images. An optimal sparsity (K) and the atom selection numbers (S) matching with best parameters for gOMP is selected through experiments. Besides that, Fourier measurement matrix has been identified after evaluation of various measurement matrices. The improved algorithm, Fourier's generalized Orthogonal Matching Pursuit (FgOMP), is constructed based on these findings. The simulation results show that the proposed algorithm can achieve Super Resolution Recovery requirements and provide a significant higher reconstruction quality for electronic probe images than the original gOMP algorithm and other relevant algorithms. © 2020 ACM.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

The application of decision tree in the prediction of winning team

The application of decision tree in the prediction of winnin...

引用

2018 International Conference on Virtual Reality and Intelligent systems, ICVRIS 2018

作者： Tang, Xiaohu Liu, Zhifeng Li, Taizhao Wu, Wenbin Wei, Zhenhua Jiangxi Engineering Laboratory on Radioactive Geoscience and Big Data Technology East China University of Technology Nanchang Jiangxi330013 China Jiangxi Engineering Technology Research Center of Nuclear Geoscience Data Science and System East China University of Technology Nanchang Jiangxi330013 China Information Engineering College East China University of Technology Nanchang Jiangxi330013 China

ISBN: (纸本)9781538680315

Decision tree algorithm is mainly used for analyzing data and *** algorithm is easy to understand and implement, and it is easy to evaluate the model through static *** this paper, the decision tree algorithm is applied to predict the result of Chinese Football Association Super League(CFASL). In this paper, the data of CFASL 2015, 2016 and 2017 seasons are collected. And 'the result of each team's last match', 'compare of teams' ranking in last season', 'the result of last time the two teams played',etc. are selected as features to predict the winner of a CFASL match. The experiments found that 'two teams' performance in their recent matches', 'whether team A has defeated team B as an away team' and 'whether team B has defeated team A as an away team' played a key role in improving the accuracy of predicting. © 2018 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

Earthquake big data processing and visualization based on PyEcharts 3

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：