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A fire hawk optimizer-based energy-efficient clustering scheme in underwater acoustic sensor networks (UASNs)

Ad Hoc Networks 2025年 176卷

作者： Lee, Sang-Woong Alhussein, Musaed Aurangzeb, Khursheed Yousefpoor, Mohammad Sadegh Yousefpoor, Efat Hosseinzadeh, Mehdi Pattern Recognition and Machine Learning Lab School of Computing Gachon University Seongnam13120 Korea Republic of Department of Computer Engineering College of Computer and Information Sciences King Saud University P.O. Box 51178 Riyadh11543 Saudi Arabia Center of Research and Strategic Studies Lebanese French University Kurdistan Region Iraq School of Computer Science Duy Tan University Da Nang Viet Nam Jadara Research Center Jadara University Irbid21110 Jordan

An underwater acoustic sensor network (UASN) is suitable for gathering data from aquatic environments, including lakes, rivers, seas, and oceans. This network faces several issues due to the distinct features of underwater environments and the limitations of acoustic channels. These challenges include energy limitations, unreliable communication links, and dynamic network topologies. Additionally, the difficulty of recharging or replacing batteries in underwater conditions makes energy optimization essential for prolonging the network lifespan. Currently, many energy-efficient approaches in UASNs emphasize node clustering and multi-hop communication, but most of these methods rely on distributed algorithms. This paper introduces a novel energy-efficient clustering framework called FHOEEC (Fire Hawk Optimization-based Energy-Efficient Clustering), which integrates both distributed and centralized strategies. The clustering process is divided into three stages: (1) cluster formation, (2) selection of cluster heads, and (3) cluster maintenance. During the periodic neighbor discovery phase, FHOEEC examines two key aspects: the format of the hello packet and its propagation process. FHOEEC aims to create an energy-efficient, cluster-based network structure. To achieve this, the sink node utilizes the fire hawk optimization (FHO) algorithm to decide on the optimal range and number of clusters. To establish these clusters, a fitness function considers a weighted combination of three sub-functions: intra-cluster and inter-cluster distances, the proportion of isolated clusters compared to others, and cluster density. In the final stage, intra-cluster and inter-cluster communication paths are established by focusing on energy balance. This ensures that nodes with energy levels below a specified threshold are excluded from serving as intermediate nodes. Simulation results and performance evaluations show that FHOEEC outperforms three existing clustering methods–CCCS, GTC, and

关键词： Clustering algorithms

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A bag-of-pages approach to unordered multi-page document classification

A bag-of-pages approach to unordered multi-page document cla...

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International Conference on pattern recognition

作者： Gordo, Albert Perronnin, Florent Computer Vision Center Universitat Autònoma de Barcelona Spain Textual and Visual Pattern Analysis Xerox Research Centre Europe France

ISBN: (纸本)9780769541099

We consider the problem of classifying documents containing multiple unordered pages. For this purpose, we propose a novel bag-of-pages document representation. To represent a document, one assigns every page to a prototype in a codebook of pages. This leads to a histogram representation which can then be fed to any discriminative classifier. We also consider several refinements over this initial approach. We show on two challenging datasets that the proposed approach significantly outperforms a baseline system. © 2010 IEEE.

关键词： Information retrieval systems

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An anti-compression watermarking scheme for vector map based on improved Douglas-Peucker algorithm

An anti-compression watermarking scheme for vector map based...

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1st International Workshop on Education Technology and computer Science, ETCS 2009

作者： Zhang, Zuoli Wang, Yaming Sun, Shusen Research Institute of Computer Vision and Pattern Recognition ZheJiang Sci.-Tech. University Hangzhou China School of Information and Electronics ZheJiang Sci.-Tech. University Hangzhou China

ISBN: (纸本)9780769535579

An anti-compression watermarking scheme is proposed. The scheme uses improved Dougleas-Peucker algorithm to compress redundant vertex data, which is important character of vector map, and embeds the watermark into compressed vertex data. Experimental results show that the anticompression performance of the watermarking algorithm is satisfied. © 2009 IEEE.

关键词： pattern matching

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Asymmetric distances for binary embeddings

Asymmetric distances for binary embeddings

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作者： Gordo, Albert Perronnin, Florent Computer Vision Center Universitat Autònoma de Barcelona Spain Textual and Visual Pattern Analysis Xerox Research Centre Europe France

ISBN: (纸本)9781457703942

In large-scale query-by-example retrieval, embedding image signatures in a binary space offers two benefits: data compression and search efficiency. While most embedding algorithms binarize both query and database signatures, it has been noted that this is not strictly a requirement. Indeed, asymmetric schemes which binarize the database signatures but not the query still enjoy the same two benefits but may provide superior accuracy. In this work, we propose two general asymmetric distances which are applicable to a wide variety of embedding techniques including Locality Sensitive Hashing (LSH), Locality Sensitive Binary Codes (LSBC), Spectral Hashing (SH) and Semi-Supervised Hashing (SSH). We experiment on four public benchmarks containing up to 1M images and show that the proposed asymmetric distances consistently lead to large improvements over the symmetric Hamming distance for all binary embedding techniques. We also propose a novel simple binary embedding technique PCA Embedding (PCAE) which is shown to yield competitive results with respect to more complex algorithms such as SH and SSH. © 2011 IEEE.

关键词： Hamming distance

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Car plate detection using cascaded tree-style learner based on hybrid object features

Car plate detection using cascaded tree-style learner based ...

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IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

作者： Wu, Qiang Zhang, Huaifeng Jia, Wenjing He, Xiangjian Yang, Jie Hintz, Tom Computer Vision Research Group University of Technology Sydney PO Box 123 Broadway NSW 2007 Australia Inst. of Image Process. and Pattern Recognition Shanghai Jiaotong Univ. China

ISBN: (纸本)0769526888

Car plate detection is a key component in automatic license plate recognition system. This paper adopts an enhanced cascaded tree style learner framework for car plate detection using the hybrid object features including the simple statistical features and Harr-like features. The statistical features are useful for simplifying the process on cascade classifier. The cascaded tree-style detector design will further reduce the false alarm and the false dismissal while retaining a high detection ratio. The experimental results obtained by the proposed algorithm exhibit the encouraging performance. © 2006 IEEE.

关键词： Object recognition

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WHU-NERCMS at TRECVID2016: Instance search task

WHU-NERCMS at TRECVID2016: Instance search task

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2016 TREC Video Retrieval Evaluation, TRECVID 2016

作者： Wang, Zheng Yang, Yang Guan, Shuosen Han, Chenxia Lan, Jiamei Shao, Rui Wang, Jinqiao Liang, Chao National Engineering Research Center for Multimedia Software School of Computer Wuhan University China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences China

This report introduces our work at the instance search task of TRECVID 2016. This year INS task asks systems to retrieve specific persons in specific locations. For the new task, the key points include: (1) We exploit effective face recognition method, which detect faces by a scale-adaptive deconvolutional regression network and then recognize detection results by a deep embedding network. (2) We search for specific scene from both of local view (hand-crafted system) and global view (deep learning system). (3) We omit a large amount of unrelated shots, such as outdoor scenes, non-face shots and some previous groundtruth shots. (4) We adjust the score of missed low-score shots among adjacent high-score shots. Based on these improvements, our team acquires promising results. Copyright © TRECVID *** rights reserved.

关键词： Face recognition

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Motion constraint patterns

Motion constraint patterns

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1993 IEEE Workshop on Qualitative vision, WQV 1993

作者： Fermüller, Cornelia Computer Vision Laboratory Center for Automation Research University of Maryland College ParkMD20742-3275 United States Department for Pattern Recognition and Image Processing Institute for Automation Technical University Vienna Treitlstraße 3 ViennaA-1040 Austria

ISBN: (纸本)0818636920

The problem of egomotion recovery has been treated by using as input local image motion, with the published algorithms utilizing the geometric constraint relating 2-D local image motion (optical flow, correspondence, derivatives of the image flow) to 3-D motion and structure. Since it has proved very difficult to achieve accurate input (local image motion), a lot of effort has been devoted to the development of robust techniques. A new approach to the problem of egomotion estimation is taken, based on constraints of a global nature. It is proved that local normal flow measurements form global patterns in the image plane. The position of these patterns is related to the three dimensional motion parameters. By locating some of these patterns, which depend only on subsets of the motion parameters, through a simple search technique, the 3-D motion parameters can be found. The proposed algorithmic procedure is very robust, since it is not affected by small perturbations in the normal flow measurements. As a matter of fact, since only the sign of the normal flow measurement is employed, the direction of translation and the axis of rotation can be estimated with up to 100% error in the image measurements. © 1993 IEEE.

关键词： Flow measurement

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Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography 4th

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4th International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Meijering, Erik Niessen, Wiro Weickert, Joachim Viergever, Max Image Sciences Institute University Medical Center Utrecht Heidelberglaan 100 UtrechtNL-3584 CX Netherlands Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim MannheimD-68131 Germany

ISBN: (纸本)3540426973

Three-dimensional rotational angiography (3DRA) is a promising imaging technique which yields high-resolution isotropic 3D images of vascular structures. Raw 3DRA images, however, usually suffer from a high noise level and the presence of other artifacts. For accurate visualization and quantification of vascular anomalies, noise reduction is therefore highly desirable. In this paper we analyze the effects of several linear and nonlinear filtering techniques for that purpose. From the results of in vitro experiments we conclude that edge-enhancing anisotropic diffusion is very suitable for mentioned tasks. However, in view of the computational requirements of this technique, the regularized isotropic nonlinear diffusion scheme may be considered a useful alternative. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Diffusion

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21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06

作者： Stahl, Armin Gabel, Thomas German Research Center Image Understanding and Pattern Recognition Group Technical University of Kaiserslautern Department of Mathematics and Computer Science Institute of Cognitive Science University of Osnabrück

ISBN: (纸本)1577352815

The definition of accurate similarity measures is a key issue of every Case-Based Reasoning application. Although some approaches to optimize similarity measures automatically have already been applied, these approaches are not suited for all CBR application domains. On the one hand, they are restricted to classification tasks. On the other hand, they only allow optimization of feature weights. We propose a novel learning approach which addresses both problems, i.e. it is suited for most CBR application domains beyond simple classification and it enables learning of more sophisticated similarity measures. Copyright © 2006, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Information retrieval

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Introducing set of internal parameters for Laplacian faces to enhance performance under varying conditions

Introducing set of internal parameters for Laplacian faces t...

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IEEE International Conference on Multi Topic

作者： Zeeshan E. Bhatti Usama I. Bajwa Imtiaz A. Taj Vision and Pattern Recognition Systems Research Group Mohammad Ali Jinnah University Islamabad Pakistan Vision and Pattern Recognition Systems Research Group Center for Advanced Studies in Engineering Islamabad Pakistan

Laplacianfaces is a recent addition to appearance based face recognition algorithms with promising future potential. Unlike Eigenfaces algorithm, Laplacianfaces algorithm finds an embedding that preserves the locality information of the subjects in feature space. In this study we have comprehensively evaluated the performance of Laplacianfaces against PCA on FERET face-image database using csuFaceIdEval as the testing platform. The effect of internal parameters, including size of locality to be preserved, the choice of distance measure to determine locality and the number of leading eigenvalues to be used for matching has been thoroughly studied for the first time. The impact of illumination, face expression and age variations on the relative performance of Laplacianfaces and Eigenfaces has been shown to be very significant and best parameter settings for enhanced performance have been proposed.

关键词： Laplace equations Face recognition Eigenvalues and eigenfunctions Embedded computing Face detection pattern recognition Principal component analysis Spatial databases Testing Size measurement

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