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

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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

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self-adaptive algorithm for image Transmission Based on Narrow and Variable Bandwidth

Self-Adaptive Algorithm for image Transmission Based on Narr...

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IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS)

作者： Liu Gao-ping Zheng Zi-han Zhejiang Wanli Univ EDA Key Lab Ningbo 315100 Zhejiang Peoples R China

ISBN: (纸本)9781424458516

With the development of networks, network bandwidth is increasing endlessly, but it appears narrow relative to the growing demand, and because of the environmental impact, the size of bandwidth is always changing. This paper presents a narrow bandwidth variable adaptive image transmission algorithm with an example of CDMA Network. Aiming at the environment variable and bandwidth allocation characters of CDMA Network, the transmitter terminal determines the network status through the TCP data packets feedback from the receiver, and adjusts UDP packets transmission time and packet size with the data frame length feature of CDMA network, thus adapts for the CDMA network bandwidth changes. Finally, the paper gives the test results of the algorithm. Test results show that the algorithm can quickly follow the changes of network bandwidth, and make full use of reliable bandwidth of CDMA network.

关键词： Narrow and Variable Bandwidth CDMA network self-adaptive algorithm Image Transmission

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

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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

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

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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

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

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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

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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...

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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

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A self-adaptive algorithm for 3D Dimension Based on Normal Adjustment

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International Conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM2011)

作者： An, Heng Yan, Guangrong Lei, Yi Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China

ISBN: (纸本)9783037851333

For the interference problem between 3D dimension and solid model caused by model rotation, a self-adaptive algorithm was proposed in this paper. Firstly, three types of dimension interference in 3D model were analyzed. Secondly, the work flow of self-adaptive algorithm was investigated and the key technologies such as interference check, normal adjustment were described in detail. By adjusting the normal of each interfered 3D dimension to non-interference state, the interference problem in this paper can be solved. All the algorithms were realized in a dynamically module based on CAXASOLID. Case study showed that the strategies present are feasible. Finally, the trends and expectation of 3D dimension layout was summarized.

关键词： 3D Dimension self-adaptive algorithm Interference Check Normal Adjustment CAXASOLID

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

JOURNAL OF NONLINEAR AND VARIATIONAL ANALYSIS

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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

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Solving non-linear viscoelastic problems via a self-adaptive precise algorithm in time domain

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INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES 2004年第20期41卷 5483-5498页

作者： Yang, HT Han, Z Dalian Univ Technol State Key Lab Struct Anal Ind Equipment Dept Engn Mech Dalian 116024 Peoples R China

This paper presents a new scheme of time stepping for solving non-linear viscoelastic problems with a two-level expanding technique. By expanding variables at a discretized time interval, a non-linear coupled space/time domain problem with initial and boundary values can be converted into a series of recursive linear boundary value problems, the variations of variables can be described more precisely via a self-adaptive computing procedure, and the non-linear iteration can be avoided. FEM is employed to solve recursive linear boundary value problems, and numerical comparisons are made to validate the proposed algorithm. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： time stepping self-adaptive algorithm integral equation non-linear viscoelasticity finite element

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Automatic Identification of Multi-interface in Crude Oil Tank Based on self-adaptive algorithm of Linearity and Recursion

Automatic Identification of Multi-interface in Crude Oil Tan...

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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Chang Li 1 Xie Yanmin 2 (1.School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110023, China. 2.Shenyang Academy of Instrumentation Science, Shenyang 110043, China

A new self-adaptive algorithm based on the frequency signal of the moving transmitter was proposed and tested by the experiment, which could identify automatically the dynamic multi-interfaces of gas/oil and oil/water in the crude oil tank, and solve three tough problems to affect accurate measurement. The first, the separate process of the crude oil and water is dynamic, the interface changes inconstantly in that the input time of the crude oil with water is random and the separate process is inconstant and real-time. The second, the composition of higher density crude oil with demulsifiers is complex. The third, the demand of safety is very strict in oil field. The new self-adaptive algorithm based on the least square method is linear and recursive. The processing result of the algorithm is decided by the relative signal of the transmitter without the relationship to the absolute signal, which avoids the dependence on the absolute performance of the transmitter and the effect of the transmitter covered with the crude oil. The simple and low-cost transmitter based on the parallel plate capacitance sensor was chosen;the algorithm also can distinguish the multi-interfaces of oil/water and the pseudo-interface. The experimental data shows the interface position identified by the algorithm is accurate.

关键词： Linearity and recursion self-adaptive algorithm moving transmitter the relative signal least square method

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