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Mathematical analysis on forwarding information base compression

Tong Yang, Jinyang Li, Chenxingyu Zhao, Gaogang Xie, Xiaoming Li
2018 CCF Transactions on Networking  
To address these problems, we propose a universal mathematical method based on the Group theory.  ...  With the fast development of Internet, the size of routing table in the backbone router continues to grow rapidly. forwarding information base (FIB), which is derived from routing table, is stored in line-card  ...  Forwarding Information Base 4 (FIB) compression is a local solution and needs no change to the existing routing protocols, and the representative papers are (Draves et al. 1999; Cain 2002; Zhao et al.  ... 
doi:10.1007/s42045-018-0010-1 fatcat:facrcechevbebhpx6znlzdcxmq

A fresh look at Forwarding Information Base compression via mathematical analysis

Tong Yang, Gaogang Xie, Kave Salamatian
2014 2014 IEEE Network Operations and Management Symposium (NOMS)  
Forwarding Information Base (FIB), which is derived from routing table, is stored in line-card to conduct routing lookup.  ...  To address these problems, we propose a universal mathematical method based on the Group 2 theory.  ...  According to the information theory, it is definite that the compressed routing table holds the information equivalent to the original one.  ... 
doi:10.1109/noms.2014.6838342 dblp:conf/noms/YangXS14 fatcat:nejm2y443faqhdzhtfst46kupm

Spectral Imagers with Linear Detector Imager Systems Based on Spectrum Compressed

Xiaoming Zhong, Huang Li, Huang Li
2015 Journal of Applied Mathematics and Physics  
We present a new method to implement spectral imagers with linear detector imager systems based on spectrum compressed.  ...  Using 1-dimension detectors instead of 2-dimension detectors to get 3-dimensional data cubes, the spectral imagers could get both the spectral information and the spatial information of each ground object  ...  detailed theoretical analysis and give a simulation on this algorithm.  ... 
doi:10.4236/jamp.2015.32039 fatcat:3esdri5t5fdnjjvijfzdgpfuli

Multimedia Image Data Compression Based on Wavelet Analysis

Rui Wang, Qi Zhu, Weichun Bu, Balakrishnan Nagaraj
2022 Wireless Communications and Mobile Computing  
In order to improve the compression technology of multimedia image data, a compression method of multimedia image data based on wavelet analysis was proposed.  ...  It was concluded that the method of multimedia image data compression based on wavelet analysis could promote the development of multimedia image data compression technology effectively.  ...  In the research, data compression of multimedia image was processed based on wavelet analysis.  ... 
doi:10.1155/2022/2773868 fatcat:ivupqbg6a5byxon7ud2o7um6wy

Evolved transforms improve image compression

Frank Moore
2009 SPIE Newsroom  
A novel technique for optimizing compression outperforms wavelets for data subject to quantization or thresholding.  ...  Author Information Frank Moore, Brendan Babb, and Michael Peterson Mathematical Sciences Department University of Alaska Anchorage (UAA) Anchorage, AK http://www.math.uaa.alaska.edu/ Frank Moore is an  ...  One approach that may circumvent this problem is evolutionary computation (EC), which uses fitness-based selection and genetics-inspired operators to evolve solutions to a combinatorial optimization task  ... 
doi:10.1117/2.1200901.1431 fatcat:x26ab2ccarf7ho4zahlyb6ewaq

An Efficient Hybrid Image Coding Scheme Combining Wavelets, Neural Networks and Differential Pulse Code Modulation for Effectual Image Compression

Sridhar Siripurapu, Rajesh Kumar P, Ramanaiah K V
2013 International Journal of Computer Applications  
along with Differential Pulse Code Modulation based on the predicted sample values.  ...  the sake of relative analysis.  ...  It is one of the common supervised training methods based on error-correction learning rule.  ... 
doi:10.5120/12581-9231 fatcat:3erwblyd6zeiflow3ndzfxo3hi

Image Compression Method Based on Biorthogonal Balanced Multi-wavelet

2016 Revista Técnica de la Facultad de Ingeniería Universidad del Zulia  
The good time-frequency localization and layered space structure make the wavelet more and more widely adopted in fields of the numerical analysis and image processing.  ...  This paper discusses some excellent properties of multiwavelet, by combining equivalent conditions between the multiwavelet's approximation and balance, and puts forward a constructed biorthogonal balanced  ...  This paper first analyzes the image compression coding, and then introduces the multi-resolution analysis of wavelet function, and based on this, then puts forward the method to construct biorthogonal  ... 
doi:10.21311/001.39.8.21 fatcat:whozns2hvjcbjipphwgjhx2vfu

Prediction of Compressive Strength of Plain Concrete Confined with Ferrocement using Artificial Neural Network (ANN) and Comparison with Existing Mathematical Models

S. U. Khan, T. Ayub, S. F. A. Rafeeqi
2013 American Journal of Civil Engineering and Architecture  
Comparative analysis of the results showed that compressive strength estimated by ANN predictive model are very close to the experimental results than existing theoretical models.  ...  This paper is an extension of the work published in year 2010 in which compressive strength of plain concrete confined with Ferrocement was estimated using mathematical models and compared with 55 experimental  ...  Mathematical Model Proposed by Kaushik and Singh [25] Kaushik and Singh [25] proposed equation for P M based on the analytical model of Mander et al.  ... 
doi:10.12691/ajcea-1-1-2 fatcat:lwhqi2vzkjhqfpdbbz6ur3yspi

An Overview of Moving Object Trajectory Compression Algorithms

Penghui Sun, Shixiong Xia, Guan Yuan, Daxing Li
2016 Mathematical Problems in Engineering  
Therefore, moving object trajectory compression undoubtedly becomes one of the hotspots in moving object data mining.  ...  However, the exponential increase in the amount of such trajectory data has caused a series of problems in the storage, processing, and analysis of data.  ...  Keogh et al. put forward Opening Window algorithm that online compresses trajectory data based on perpendicular distance.  ... 
doi:10.1155/2016/6587309 fatcat:zulcqlauc5cddghpckpbc22oaq

ECG data compression using a neural network model based on multi-objective optimization

Bo Zhang, Jiasheng Zhao, Xiao Chen, Jianhuang Wu, Quan Zou
2017 PLoS ONE  
ECG compression should be processed in real time, and the data should be based on lossless compression and have high predictability.  ...  OPEN ACCESS Citation: Zhang B, Zhao J, Chen X, Wu J (2017) ECG data compression using a neural network model based on multi-objective optimization. PLoS ONE 12(10): e0182500. https://doi.org/10.  ...  (Fig 8(B)) Conclusion In this paper, we put forward our mathematical model and learning algorithm for a neural network that is based on multi-objective optimization.  ... 
doi:10.1371/journal.pone.0182500 pmid:28972986 pmcid:PMC5626036 fatcat:ow7crqdwxvdbvmzgxgrttnaige

Subject Index

2013 Sadhana (Bangalore)  
composite 743 Hot air curing Influence of curing regimes on compressive strength of ultra high performance concrete 1421 Horizontal and inclined surfaces Mathematical modelling of dropwise conden  ...  networks 377 Region-based coding ROI-based DICOM image compression for telemedicine 123 Regulation Regulatory practices for nuclear power plants in India 1027 Renovation Analysis of the quality  ... 
doi:10.1007/s12046-014-0233-x fatcat:hlochqn2prcmvjcuucrs5cykme

Implementation of Image Compression using fast Wavelet Transform using HAAR and Daubechies Wavelets

Er. Neha Goyal
2012 IOSR Journal of Engineering  
Image compression is the application of Data compression on digital images.  ...  Mallet Algorithm based fast wavelet analysis makes the use of extension of a given finite-length signal and removes the border effects due to convolution.  ...  The Fast Wavelet Transform is a mathematical algorithm designed to turn a waveform or signal in the time domain into a sequence of coefficients based on an orthogonal basis of small finite waves, or wavelets  ... 
doi:10.9790/3021-021121824 fatcat:y53vchygfnchpj3mr4kgm3b3ji

A Multiresolution Image Completion Algorithm for Compressing Digital Color Images

R. Gomathi, A. Vincent Antony Kumar
2014 Journal of Applied Mathematics  
Textural synthesis and a new shearlet inpainting scheme based on the theory ofp-Laplacian operator are proposed for image restoration at the decoder.  ...  In the proposed algorithm, the input image is subjected to image analysis to remove some of the portions purposefully.  ...  The proposed algorithm is simpler because of the presence of region removal and assistant information generation based on Discrete Shearlet Transform (DST).  ... 
doi:10.1155/2014/757318 fatcat:e2aqxsiqm5bw7jpuvc62ap5eky

JPEG Quantization Step Estimation and Its Applications to Digital Image Forensics

Thanh Hai Thai, Remi Cogranne, Florent Retraint, Thi-Ngoc-Canh Doan
2017 IEEE Transactions on Information Forensics and Security  
The analysis of quantization effect is performed within a mathematical framework, which justifies the relation of local maxima of the number of integer quantized forward coefficients with the true quantization  ...  The method is based on the combination of the quantization effect and the statistics of Discrete Cosine Transform (DCT) coefficient characterized by the statistical model that has been proposed in our  ...  The main contributions of the paper are the followings: • In contrast to prior histogram-based methods, this paper establishes a mathematical analysis of quantization effect during JPEG compression and  ... 
doi:10.1109/tifs.2016.2604208 fatcat:ypi7g2pyc5dg7a5mk4hmlp7vjy

A Novel Neural Network Approach for Image Compression & Decompression

Poonam , Indu
2016 International Journal of Scientific Research and Management  
Artificial neural network with feed forward back propagation technique can be used for image compression.  ...  Analysis (PCA) technique.  ...  Principal Component Analysis The images obtained from the satellite are noisy and require large memory space. To compress such type of images, PCA based neural network model is used.  ... 
doi:10.18535/ijsrm/v4i7.11 fatcat:gfufzuwxevbqnlgysyb7adfpke
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