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

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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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 Novel Surface recovery algorithm for Dual Wavelength White LED in Vertical Scanning Interferometry (VSI)

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SENSORS 2020年第18期20卷 5225.-5225.页

作者： Zhu, Linlin Dong, Yuchu Li, Zexiao Zhang, Xiaodong Tianjin Univ Ctr MicroNano Mfg Technol State Key Lab Precis Measuring Technol & Instrume Tianjin 300072 Peoples R China

The two peaks characteristic of yellow and blue light in the spectrum of dual-wavelength white light emitting diodes (LEDs) introduce distinctive features to the interference signal of white light scanning interferometry (WLSI). The distinctive features are defined as discontinuities, so that the fringe contrast function cannot be modeled as a single Gaussian function, and causes the interferogram to have uneven distribution of fringes of different orders in the scanning interferometer. This phenomenon leads to the low accuracy of the zero-order fringe position in the envelope calculation, which affects the repeatability and accuracy of the interferometry. This paper proposes a new surface recovery algorithm based on the Hilbert phase envelope and adjacent reference points calculation, which can effectively overcome the influence of the discontinuous signal of dual-wavelength LED white light interference on the three-dimensional reconstruction of WLSI measurements. The reliability of the algorithm is verified by experiments, and the measurement accuracy of LED WLSI system is evaluated.

关键词： vertical scanning interferometry dual wavelength white LED 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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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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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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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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Rapid calculation of bistatic scattering problems based on bayesian compressive sensing

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ELECTROMAGNETICS 2025年第4期45卷 320-333页

作者： Wang, Zhonggen Sun, Longhui Nie, Wenyan Sun, Yufa Dong, Dai Liu, Yang Anhui Univ Sci & Technol Sch Elect & Informat Engn Huainan 232001 Peoples R China HuaiNan Normal Univ Sch Mech & Elect Engn Huainan Peoples R China Anhui Univ Sch Elect & Informat Engn Hefei Peoples R China

In this paper, in order to accelerate the solution of the three-dimensional target scattering problems, bayesian compressive sensing (BCS) combined with high-order characteristic basis functions (HCBFs) is proposed. Unlike the traditional compressive sensing (CS) combined with CBFs method, the main improvements of our work are twofold: First, by utilizing HCBFs instead of traditional CBFs, not only the construction of the sparse basis is accelerated, but also the computational accuracy is improved. Second, comparing to CS using the orthogonal matching pursuit recovery algorithm, BCS requires fewer iterations and takes less time in recovering sparse signals. Numerical calculations show that the new method not only accelerates the solution time but also improves the computational accuracy.

关键词： Bayesian compressive sensing characteristic basis functions recovery algorithm

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Association Rule Mining Based algorithm for recovery of Silent Data Corruption in Convolutional Neural Network Data Storage

Association Rule Mining Based Algorithm for Recovery of Sile...

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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)

作者： Ramzanpour, Mohammadreza Ludwig, Simone A. North Dakota State Univ Dept Comp Sci Fargo ND 58105 USA

ISBN: (纸本)9781728125473

Embedded systems are finding their way into almost every aspects of our daily life from mp3 players and console games to the mobile phones. Different Artificial Intelligence (AI) based applications are commonly utilized in embedded systems from which computer vision based approaches are included. The demand for higher accuracy in computer vision applications is associated with the increased complexity of convolutional neural networks and the storage requirement for saving pre-trained networks. Different factors can lead to the data corruption in the storage units of the embedded systems, which can result in drastic failures due to the propagation of the errors. Hence, the development of software-based algorithms for the detection and recovery of data corruption is crucial for improvement and failure-prevention of embedded systems. This paper proposes a new algorithm for the recovery of the data in the case of single event upset (SEU) error. The association rule mining based algorithm will be used to find the probability of the corruption in each of the bits. The recovery algorithm was tested on four different pre-trained ResNet (ResNet32 and ResNet110 at two different accuracy levels each) and the best recovery rate of 66% was found in the most complex scenario, i.e., random bit corruption. However, for the special cases of SEU errors, e.g. error in the frequently repeated bits, the recovery rate was found to be perfect with a value of 100%.

关键词： Single event upset Silent data corruption Association rule mining recovery algorithm

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Context-Aware Expert for Software Architecture recovery (CAESAR): An automated approach for recovering software architectures

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JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES 2023年第8期35卷

作者： Ibrahim, Khaled Hassan, Hesham Wassif, Khaled T. Makady, Soha Cairo Univ Fac Comp & Artificial Intelligence 5 Dr Ahmed Zewail St Giza 12613 Orman Egypt

Software architecture recovery approaches help to reconstruct the architecture of complex software systems. However, the manual effort and expertise required to use such techniques are high, as the user demands detailed knowledge about software architecture recovery process and preparing additional software artifacts to use as input for such approaches. Such practices lack consideration for the context standards of the recovered software. Additionally, proper module detection rules that are aware of the modeled system's context should be studied to enhance the cluster quality of the detected modules. We introduce a novel approach to software architecture recovery by implementing an automated knowledge-based rules solution that considers the context of the developed software while identifying and clustering that system's software modules. Such solution is aided by a novel code distance model that is utilized to enhance the cohesiveness of the recovered software modules, improving the recovered software architecture quality, and enhancing readability through providing visualizations at different abstraction levels for the recovered architecture. The proposed method has been evaluated on two software systems with varying sizes and from different contexts and involved experienced participants. The results demonstrate significant improvements in cohesion and coupling of the produced clusters compared to alternative architecture recovery approaches. (C) 2023 The Authors. Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Software architecture recovery algorithm Reverse engineering Module Clustering AUTOSAR FACE Software visualization

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