检索结果-内蒙古大学图书馆

A self-adaptive algorithm of Inverse Wavefield Transform for the Vertically Magnetic Components of the Loop-Source Transient Electromagnetic Data

引用

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2025年 22卷 1-1页

作者： Fan, Kerui Guo, Jianlei Wang, Gang Xu, Lei Lu, Kailiang Sun, Shangqu He, Peng Li, Zhiqiang Wang, Neng Shandong Univ Sci & Technol Coll Civil Engn & Architecture Qingdao 266590 Peoples R China Chinese Geophys Soc Key Lab Engn Geophys Prospecting & Detect Wuhan 430010 Peoples R China Changan Univ Coll Geol Engn & Geomat Xian 710054 Peoples R China CCTEG Xian Res Inst Grp Co Ltd Xian 710054 Peoples R China Fujian Univ Technol Sch Civil Engn Fuzhou 350118 Peoples R China Changjiang Geophys Explorat & Testing Co Ltd Wuhan 430010 Peoples R China China Univ Min & Technol State Key Lab Geomech & Deep Underground Engn Xuzhou 221116 Peoples R China Shandong Univ Geotech & Struct Engn Res Ctr Jinan 250061 Shandong Peoples R China

We present a self-adaptive algorithm of inverse wavefield transform for the vertically magnetic components of the loop-source transient electromagnetic method (TEM) data to highlight the subsurface interfaces of electric resistivity. Based on the theory of wavefield transform between the electromagnetic (EM) diffusion and the EM wave, the transform formula of the TEM field and its time derivative are presented. The velocity of the pseudo-wavefield is given. To numerically accomplish the inverse wavefield transform in a finite interval, the shortest time window for the pseudo-wavefield is determined by a newly proposed formula. Then the pseudo-time window can be directly figured out according to the time wind of TEM measuring time. To solve the inverse wavefield transform equation accurately, the precise integral method (PIM) is introduced with an automatic iteration control scheme. In the numerical results, the pseudo-wavefield traces transformed from the modeled TEM responses are physically rational as the pseudo-wavefield reflection arrives as expected. The data misfit between the fit and the modeled data is smaller than 10% and is smaller than 1% for the TEM responses earlier than 1 ms. The results illustrate that the transformed pseudo-wavefield can highlight the location and features of the electric interfaces through the reflection arrival and waveform.

关键词： Transforms Kernel Electromagnetics Mathematical models Electromagnetic scattering Reflection Integral equations Loop-source transient electromagnetic method (TEM) pseudo-wavefield self-adaptive algorithm TEM wavefield transform

来源：评论

学校读者我要写书评

暂无评论

A self-adaptive algorithm of the Clean Numerical Simulation(CNS)for Chaos

引用

Advances in Applied Mathematics and Mechanics 2023年第5期15卷 1191-1215页

作者： Shijie Qin Shijun Liao State Key Laboratory of Ocean Engineering Shanghai 200240China Center of Marine Numerical Experiment School of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Plateau Ecology and Agriculture XiningQinghai 810018China School of Hydraulic and Electric Engineering Qinghai UniversityXiningQinghai 810018China

The background numerical noise#0 is determined by the maximum of truncation error and round-off *** a chaotic system,the numerical error#(t)grows exponentially,say,#(t)=#0exp(kt),where k>0 is the so-called noise-growing *** is the reason why one can not gain a convergent simulation of chaotic systems in a long enough interval of time by means of traditional algorithms in double precision,since the background numerical noise#0 might stop decreasing because of the use of double *** restriction can be overcome by means of the clean numerical simulation(CNS),which can decrease the background numerical noise#0 to any required tiny level.A lot of successful applications show the novelty and validity of the *** this paper,we further propose some strategies to greatly increase the computational efficiency of the CNS algorithms for chaotic dynamical *** is highly suggested to keep a balance between truncation error and round-off error and besides to progressively enlarge the background numerical noise#0,since the exponentially increasing numerical noise#(t)is much larger than *** examples are given to illustrate the validity of our strategies for the CNS.

关键词： Chaos Clean Numerical Simulation(CNS) self-adaptive algorithm computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Generalized self-adaptive algorithm for solving split common fixed point problem and its application to image restoration problem

引用

INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS 2020年第7期97卷 1431-1443页

作者： Suparatulatorn, Raweerote Khemphet, Anchalee Charoensawan, Phakdi Suantai, Suthep Phudolsitthiphat, Narawadee Chiang Mai Univ Fac Sci Dept Math Res Ctr Math & Appl Math Chiang Mai 50200 Thailand

In this work, we introduce a self-adaptive algorithm, based on viscosity approximation methods, to solve split common fixed point problems of demicontractive operators in real Hilbert spaces. Besides, the strong convergence theorem for the algorithm is established under some additional assumptions. On top of that, numerical results on image restoration problems are given. It shows that our proposed algorithm is efficient and outperforms the other algorithms for this experiment.

关键词： Split common fixed point problem demicontractive operator self-adaptive algorithm viscosity approximation method image restoration problem

来源：评论

学校读者我要写书评

暂无评论

A NEW INERTIAL self-adaptive algorithm FOR SPLIT COMMON FIXED-POINT PROBLEMS

JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS

引用

JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS 2021年第1期5卷 43-57页

作者： Zhao, Jing Li, Yuan Civil Aviat Univ China Coll Sci Tianjin 300300 Peoples R China

In this paper, we study the split common fixed-point problem of quasi-nonexpansive operators in Hilbert space. We establish a weak convergence theorem of the proposed iterative algorithm, which combines the primal-dual method and the inertial method. In our algorithm, the step sizes are chosen self-adaptively so that the implementation of the algorithm does not need any prior information about bounded linear operator norms. Finally, numerical results are included to illustrate the efficiency of the proposed algorithm.

关键词： Split common fixed-point problem Quasi-nonexpansive operator Inertial technique self-adaptive algorithm Weak convergence

来源：评论

学校读者我要写书评

暂无评论

Altitude Monitoring of Multi-Floor Building Using a Barometric Altimeter Device and self-adaptive algorithm 12

Altitude Monitoring of Multi-Floor Building Using a Barometr...

引用

IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)

作者： Caya, Meo Vincent C. Ng, Jeffrey P. Mapua Univ Sch Elect Elect & Comp Engn Muralla St Manila 1002 Philippines

ISBN: (纸本)9781665419710

In the Philippines, creating ways to keep our public emergency responders safe is an everyday issue. With the help of fast-paced wireless technology, problems are now solvable such as monitoring, creating miniaturized sensors or devices, etc. This study will focus on using a barometric altimeter sensor that has a system with a self-adaptive algorithm. Compared to other existing studies regarding indoor localization or identifying floor height which are time-consuming or labor-intensive, this will benefit our countries' finest specifically firefighters. Lessen their worries about accidents or death due to suffocation for losing their way inside the burning multi-floor building. Through our system, it will show the altitude measurement and estimated floor levels of the firefighter who is wearing the device. This study was conducted at Ayala Circuit Makati with 10 samples and gathered an accuracy of 93.820% with the system undergone self-adaptive algorithm over 86.263% of without undergone self-adaptive algorithm.

关键词： Barometric Altimeter Firefighter self-adaptive algorithm Indoor Localization

来源：评论

学校读者我要写书评

暂无评论

Inertial self-adaptive algorithm for solving split feasible problems with applications to image restoration

引用

MATHEMATICAL METHODS IN THE APPLIED SCIENCES 2019年第18期42卷 7268-7284页

作者： Suparatulatorn, Raweerote Charoensawan, Phakdi Poochinapan, Kanyuta Chiang Mai Univ Dept Math Res Ctr Math & Appl Math Fac Sci Chiang Mai 50200 Thailand CHE Ctr Excellence Math Si Ayutthaya Rd Bangkok 10400 Thailand

We introduce a new self-adaptive algorithm for applications to image restoration problems. In order to study an image restoration, we consider the algorithm that contains inertial effects and step sizes, which is independent from the norm of the bounded linear operator. With some control conditions, the strong convergence to the minimum norm solution of the algorithm is obtained. Convergence analysis of the proposed algorithm is also discussed. Moreover, numerical results of image restoration problems illustrate that the proposed algorithm is efficient and outperforms other ones.

关键词： demicontractive operator image restoration problem inertial algorithm self-adaptive algorithm

来源：评论

学校读者我要写书评

暂无评论

self-adaptive match algorithm for transmitter-receiver in the middle and upper atmospheric lidar

引用

OPTICS COMMUNICATIONS 2021年 488卷 126811-126811页

作者： Lin, Zhaoxiang Huang, Kunpeng Xiong, Wei Wu, Jinquan Cheng, Xuewu Yang, Guotao South Cent Univ Nationalities Wuhan 430074 Hubei Peoples R China Chinese Acad Sci Innovat Acad Precis Measurement Sci & Technol State Key Lab Magnet Resonance & Atom & Mol Phys Wuhan 430071 Hubei Peoples R China Chinese Acad Sci Natl Space Sci Ctr State Key Lab Space Weather Beijing 100190 Peoples R China

A precise matching is required between the emitted laser beam and Field-of-View (FOV) of the received telescope to ensure useful observation of middle and upper atmospheric lidar. Nowadays, manual matching is commonly used, but it is time-consuming and has poor stability. Automatic matching is still hard to meet the actual application requirement because it is challenging to balance accuracy and efficiency. Thus, in this paper, a self-adaptive matching algorithm is proposed. In this process, the correlation coefficient between the echo signal and the standard pattern is considered as the matching criterion. It adaptively updates the adjustment step according to the current position?s matching state and uses the correlation coefficient?s increasing gradient as the adjustment direction. The above matching process is iteratively conducted until meeting the convergence condition. The matching process is within 3?5min. These results suggest that the proposed automated matching algorithm can play an important role in unattended atmospheric lidars.

关键词： The middle and upper atmospheric lidar self-adaptive algorithm Transmitter?receiver Correlation coefficient Matching state

来源：评论

学校读者我要写书评

暂无评论

Inertial self-adaptive algorithms for solving non-smooth convex optimization problems

引用

NUMERICAL algorithmS 2025年第1期98卷 133-163页

作者： Chen, Xin Duan, Peichao Civil Aviat Univ China Coll Sci Tianjin 300300 Peoples R China

In this paper, for two different forms of non-smooth convex optimization problems, we investigate the self-adaptive algorithms with inertia acceleration. Firstly, we propose a self-adaptive proximal gradient algorithm with an inertial step. Under reasonable parameters, the strong convergence theorem is established. Secondly, we propose a self-adaptive split proximal algorithm with inertial acceleration. We prove that our algorithm converges strongly under suitable conditions. Notably, both inertial algorithms are extended to multi-step inertial version to accelerate the convergence of the algorithms. Finally, numerical results illustrate the performances of our algorithms.

关键词： Convex optimization self-adaptive algorithm Inertial acceleration Proximal gradient algorithm Split proximal algorithm

来源：评论

学校读者我要写书评

暂无评论

New self-adaptive algorithms and Inertial self-adaptive algorithms for the Split Variational Inclusion Problems in Hilbert Space

引用

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION 2022年第9期43卷 1050-1068页

作者： Chuang, Chih-Sheng Hong, Chung-Chien Natl Chiayi Univ Dept Appl Math Chiayi Taiwan Natl Pingtung Univ Sci & Technol Dept Ind Management Pingtung Taiwan

In the field of convex optimization, numerous problems can be modeled as the split variational inclusion problem. In this paper, we want to give self-adaptive algorithms and inertial self-adaptive algorithms to study ... 详细信息

关键词： self-adaptive algorithm inertial algorithm inertial self-adaptive algorithm split feasibility problem split variational inclusion problem

来源：评论

学校读者我要写书评

暂无评论

self-adaptive algorithmS FOR SOLVING CONVEX BILEVEL OPTIMIZATION PROBLEMS

JOURNAL OF NONLINEAR FUNCTIONAL ANALYSIS

引用

JOURNAL OF NONLINEAR FUNCTIONAL ANALYSIS 2023年第1期2023卷

作者： Zhao, Bowen Duan, Peichao Civil Aviat Univ China Coll Sci Tianjin 300300 Peoples R China

In this paper, we present a self-adaptive algorithm and an inertial version for solving convex bilevel optimization problems. We establish the strong convergence of our proposed algorithms. The step-sizes in our algorithms for the inner level optimization problem are selected without prior knowledge of operator norms. A numerical experiment is included to illustrate the performances of our algorithms and some comparisons are present with related algorithms.

关键词： Convex bilevel optimization Inertial acceleration Moreau-Yosida approximate self-adaptive algorithm Split proximal algorithm

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：