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A recovery algorithm for chain graphs

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 1997年第2-3期17卷 265-293页

作者： Studeny, M Institute of Information Theory and Automation Academy of Sciences of the Czech Republic Prague Czech Republic

The class of chain graphs (CGs) involving both undirected graphs (=Markou networks) and directed acyclic graphs (= Bayesian networks) was introduced in middle eighties for description of probabilistic conditional independence structures. Every class of Markov equivalent CGs (that is, CGs describing the same conditional independence structure) has a natural representative which is called the largest CG. The paper presents a recovery algorithm which on the basis of the conditional independence structure given by a CG (in the form of a dependency model) finds the largest CG representing the corresponding class of Markov equivalent CGs. As a by-product a graphical characterization of graphs which are the largest CGs (for a class of Markov equivalent CGs) is obtained, and a simple algorithm changing every CG into the largest CG of the corresponding equivalence class is given. (C) 1997 Elsevier Science Inc.

关键词： chain graph dependency model Markov equivalence pattern largest chain graph recovery algorithm

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A computationally efficient energy-aware multicast tree recovery algorithm for ad hoc network

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IEICE TRANSACTIONS ON COMMUNICATIONS 2003年第9期E86B卷 2701-2708页

作者： Ng, JM Sridharan, S Low, CP Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

Multicasting is an efficient communication tool for use ill multi-point applications such as conferencing and information distribution. Ill ad hoc networks, node mobility causes frequent changes of network topology, and re-construction of the multicast, tree in all efficient and effective manner becomes a critical issues. In case of link breakage, most of the multicast tree construction protocols available presently require either a total re-build of the tree or to reconnect a disjoined node back to the multicast tree via the shortest path which may disrupt, the, optimising factors, such as energy consumption delay Or Cost, Used ill the building of the original tree. Ill this papers we introduce a computationally efficient recover algorithm which will also minimise the power consumption oil the tree.

关键词： ad hoc networks multicast tree recovery algorithm

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Compressed Sensing: A Simple Deterministic Measurement Matrix and a Fast recovery algorithm

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2015年第12期64卷 3405-3413页

作者： Ravelomanantsoa, Andrianiaina Rabah, Hassan Rouane, Amar Univ Lorraine Inst Jean Lamour F-54000 Nancy France

Compressed sensing (CS) is a technique that is suitable for compressing and recovering signals having sparse representations in certain bases. CS has been widely used to optimize the measurement process of bandwidth and power constrained systems like wireless body sensor network. The central issues with CS are the construction of measurement matrix and the development of recovery algorithm. In this paper, we propose a simple deterministic measurement matrix that facilitates the hardware implementation. To control the sparsity level of the signals, we apply a thresholding approach in the discrete cosine transform domain. We propose a fast and simple recovery algorithm that performs the proposed thresholding approach. We validate the proposed method by compressing and recovering electrocardiogram and electromyogram signals. We implement the proposed measurement matrix in a MSP-EXP430G2 LaunchPad development board. The simulation and experimental results show that the proposed measurement matrix has a better performance in terms of reconstruction quality compared with random matrices. Depending on the compression ratio, it improves the signal-to-noise ratio of the reconstructed signals from 6 to 20 dB. The obtained results also confirm that the proposed recovery algorithm is, respectively, 23 and 12 times faster than the orthogonal matching pursuit (OMP) and stagewise OMP algorithms.

关键词： Compressed sensing (CS) deterministic measurement matrix electrocardiogram (ECG) electromyogram (EMG) recovery algorithm

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Noise Reduction and recovery algorithm for Underwater Distorted Image

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JOURNAL OF COASTAL RESEARCH 2018年第Spe83期000卷 720-723页

作者： Han, Pu Han, Yibo Nanyang Inst Technol Sch Software Nanyang 473000 Peoples R China

Due to some unavoidable internal factors of digital cameras and other imaging equipment, as well as human and environmental external factors, the underwater photographing images will be distorted, thus affecting the recognition effect of optical character recognition. The traditional noise reduction algorithm has low efficiency and short time-consuming. Therefore, in this paper, a document image distortion recognition algorithm based on full automatic image splicing is proposed. Firstly, two distorted images captured from different angles for the same document page are processed by feature extraction, image registration, transformation and so on, and then spliced into a nearly non-deformation document image. The experimental results show that the algorithm proposed in this paper can effectively deal with the problem of document image distortion recognition, and has a very high development prospect.

关键词： Underwater distortion image noise reduction processing recovery algorithm noise reduction recovery

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recovery algorithm for Space Charge Waveform in Coaxial Cable under Temperature Gradient

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SENSORS AND MATERIALS 2017年第8期29卷 1147-1157页

作者： Wang Xia Chen Chi Hao Jia-Qi Wu Kai Chen Xin Li Wen-Peng Zhang Chong Xi An Jiao Tong Univ State Key Lab Elect Insulat & Power Equipment Xian 710049 Shaanxi Peoples R China Global Energy Internet Res Inst Beijing 100000 Peoples R China

The accumulation of space charge in a coaxial cable under high -voltage direct current (HVDC) may lead to the serious distortion of the internal electrical field, and thus extremely affect the long-term reliability of the cable in service. Therefore, it is significant to measure the space charge characteristic in a full-size power cable in real time. However, because of the existence of a temperature gradient across the cable insulation under DC electrical stress, the density of the dielectric will be inhomogeneous. Moreover, the effect of the coaxial structure on the distortion of measuring waveforms has to be taken into consideration. In this paper, an improved pulsed electroacoustic (PEA) system suited for a full-size power cable under a temperature gradient was realized by designing the units of pulse injection and signal detection. Then, the charge density was corrected according to the nonuniform electric stress distribution and the divergent acoustic propagation. Finally, the system transfer function was amended by adding the dispersion coefficient's quadratic approximation to the general solution of the general wave propagation equation. With this new recovery algorithm, the distortion of the waveform caused by the cable's coaxial structure, acoustic waves' attenuation and dispersion, and temperature gradient effect can be recovered successfully.

关键词： coaxial cable space charge temperature gradient recovery algorithm

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Coverage Holes recovery algorithm of Underwater Wireless Sensor Networks 4th

Coverage Holes Recovery Algorithm of Underwater Wireless Sen...

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4th International Conference on Cloud Computing and Security (ICCCS)

作者： Cui, Min Mei, Fengtong Li, Qiangyi Li, Qiangnan Zhengzhou Univ Ind Technol Zhengzhou 451150 Henan Peoples R China Henan Univ Sci & Technol Luoyang 471023 Henan Peoples R China

ISBN: (纸本)9783030000189;9783030000172

Underwater wireless sensor network nodes deployment optimization problem is studied and underwater wireless sensor nodes deployment determines its capability and lifetime. Underwater wireless sensor network if no wireless sensor node is available in the area due to used up energy or any other reasons, the area which is not detected by any wireless sensor node forms coverage holes. The coverage holes recovery algorithm aiming at the coverage holes in wireless sensor network is designed in this article. The nodes movement is divided into several processes, in each movement process according to the balance distance and location relations move nodes to separate the aggregate nodes and achieve the maximum coverage of the monitoring area. Because of gradually increasing the balance distance between nodes, in each movement process the nodes movement distance is small and reduce the sum of the nodes movement distance. The simulation results show that this recovery algorithm achieves the goal of the nodes reasonable distribution with improving the network coverage and reducing the nodes movement distance thus extends the lifetime of the underwater wireless sensor network in the initial deployment phase and coverage holes recovery phase.

关键词： Coverage holes recovery algorithm Wireless sensor networks

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A new profile recovery algorithm with high lateral resolution using spline smoothing

A new profile recovery algorithm with high lateral resolutio...

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7th International Symposium on Laser Metrology Applied to Science, Industry and Everyday Life

作者： Liu, X Gao, Y Hong Kong Univ Sci & Technol Dept Mech Engn Kowloon Hong Kong Peoples R China

ISBN: (纸本)0819446866

A new method, to improve the lateral resolution of differential profile measurement is proposed, together with a related profile recovery algorithm. In this method, the lateral resolution will not be constrained to the distance between two differential probes. It-can be a fraction of the distance and is affected by the. scanning resolution. In the corresponding algorithm to recover a profile, d is the probes distance, d(r) is the scanning resolution, and d(r) = d/N, where N is the number of groups separated from, the difference data set. Integration is applied to every group to build a profile. Finally, spline smoothing regression is used to the profiles to find translations between them to obtain the whole profile. Computer stimulation was used to examine the effectiveness of the proposed recovery algorithm and good accuracy was achieved.

关键词： differential-profiler spline smoothing recovery algorithm

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Research on memory effects and recovery algorithm in imaging through scattering layers via speckle correlations

Research on memory effects and recovery algorithm in imaging...

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International Conference on Optical Instruments and Technology - Optoelectronic Imaging/Spectroscopy and Signal Processing Technology

作者： Cao, Rui Hao, Qun Hu, Yao Zhang, Shaohui Cheng, Xuemin Han, Shaokun Beijing Inst Technol Sch Opt & Photon Beijing Key Lab Precis Optoelect Measurement Inst Beijing 100081 Peoples R China Tsinghua Univ Grad Sch Shenzhen Shenzhen 518055 Peoples R China

ISBN: (纸本)9781510636552

Imaging through scattering layers plays an important role in the field of optical imaging. Because of its characteristics, we can observe some targets that are invisible or unobservable. Now, it is a simple and effective way to process images of scattering layers by autocorrelation. However, due to the memory effect and the limitation of the acquisition environment, imaging through scattering layers still lacks the ability to accurately detect unknown objects. In this paper, we analyzed the influence of memory effects and actual acquisition environment on speckle correlations imaging. By controlling the various variables of the experimental device and the image processing, different experimental images and restoration results of the images are obtained. The memory effects control the optical thickness of the scattering layer, the size of the target, and the distance from the target to the scattering layer. There must be appropriate experimental parameter settings to meet the memory effect requirements. In addition, the selection of the position of the image acquisition device determines the degree of dispersion of the speckle. Image processing is mainly for the filtering of space domain and frequency domain, and for changes in constraints in Hybrid Input-Output algorithms. Finally, comparing the influence of all the parameters on the final restored image, the reasonable acquisition scheme and image processing scheme for different targets and scattering media can be obtained. It has reference and guiding significance for the application of imaging through scattering layers via speckle correlations.

关键词： Scattering layers Speckle correlations Memory effects recovery algorithm

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A recovery algorithm for Self-Stabilizing Communication Protocols

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Journal of Systems Engineering and Electronics 2000年第1期11卷 38-46页

作者： Li Layuan & Li Chunlin (Department of Computer Science & Technology, Wuhan nansportation University, 430063, P. R. China) Department of Computer Science & Technology Wuhan Transportation University 430063 P. R. China

This paper presents a recovery algorithm for self-stabilizing communication protocols. It first describes some concepts and a formal description method for the algorithm. Then it proposes the algorithm procedures, proves its correctness and analyses its complexity. Finally, it also verifies the availability and efficiency of the algorithm by illustrating an example protocol with multi-processes.

关键词： Computer networks Communication protocols recovery algorithm Self-stabilization Multimedia communication networks.

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An energy-efficient recovery algorithm for the free space optical communications network via reflections

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OPTIK 2021年 241卷 167045-167045页

作者： Yin, Rongrong Ghassemlooy, Zabih Eso, Elizabeth Liu, Lei Yanshan Univ Sch Informat Sci & Engn Qinhuangdao 066004 Hebei Peoples R China Northumbria Univ Fac Engn & Environm Opt Commun Res Grp Newcastle Upon Tyne NE1 8ST Tyne & Wear England

Free space optical (FSO) communication is a very attractive solution to substitute or complement radio frequency-based wireless technologies for providing high-speed wireless connections. FSObased network consists of a lot of optical nodes, whose transmission power is concentrated in a narrow volume. Considering the directionality of FSO communications, the outage of a node in the network may result in reduced link connectivity and availability, thus causing coverage hole. Once the coverage hole, the accuracy of network monitoring data would not only be reduced, but much of the not-yet-used resource would also be abandoned in the network resulting in energy waste. In this paper, we propose an energy-efficient recovery algorithm for FSO network based on reflections. The proposed algorithm adopts the classified repair mode based on the communication conditions prior to dying of the node. If the dead node is a relay node, the mirror node is used as the repair node in order to reduce the energy consumption of data forwarding, and an evaluation model is established by combining the coverage and the energy to determine the repair location. However, if the dead node is not a relay node, the ordinary node is used as repair node. The location of the repair node is found based on the coverage and the geometric relationship to ensure the maximum coverage. The simulation results show that, the proposed algorithm not only sustains coverage but also reduces the network energy consumption and prolongs the network's lifetime.

关键词： Free space optical network Coverage hole Mirror node recovery algorithm Reflection property

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