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A comparative recognition research on excretory organism in medical applications using neural networks

Multimedia Tools and Applications 2023年

作者： K, Vidhya R, Krishna Priya Vidhyalakshmi, M. Ramesh, S. M. L, Bharathi Kshirsagar, Pravin R. Rajaram, A. Tirth, Vineet Department of Computer Science and Engineering KPR Institute of Engineering and Technology Tamil Nadu Coimbatore641407 India Department of Engineering - Electrical Section University of Technology and Applied Sciences Shinas Campus Oman Department of Electronics and Communication Engineering SRM Institute of Science and Technology Ramapuram Tamil Nadu Chennai600089 India Department of Signal and Image Processing With Computational Intelligence Saveetha School of Engineering Tamil Nadu Chennai600124 India Department of Electricals and Electronics Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai600119 India Department of Artificial Intelligence G H Raisoni College of Engineering Nagpur India Department of Electronics and Communication Engineering EGS Pillay Engineering College Nagapattinam India Department of Mechanical Engineering College of Engineering King Khalid University Asir Abha61421 Saudi Arabia

In the current generation, most individuals are facing many health problems even in the elderly stages and one of the severe touch is caused by to digestive system. Usually, the problems in the digestive system transpire due to improper innards that are present inside it. Even though many experts have described effective solutions to overcome such problems no proper outcomes are achieved. Therefore, the proposed method builds an appropriate device that detects the harmful contents in the entire digestive system which records and stores the data for a continuous period. Additionally, the designed device is incorporated with the neural network using five defined layers where the data is divided into mini segments. This type of data segmentation of input images will reduce the amount of loss in the system thus making the system to be operated at reduced cost. Further equal weights are allocated in the hidden layer using reduced control parameters thereby achieving concentrated attack at several periods. To analyze the effectiveness of neural networks parametric cases are performed and the results prove to be very effective in comparison cases for about 68 percentage. © 2023, The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature.

关键词： Medical applications

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6G Wireless Communications: From Far-field Beam Steering to Near-field Beam Focusing

arXiv

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arXiv 2022年

作者： Zhang, Haiyang Shlezinger, Nir Guidi, Francesco Dardari, Davide Eldar, Yonina C. The School of Communication and Information Engineering Nanjing University of Posts and Telecommunications China The School of Electrical and Computer Engineering Ben-Gurion University Israel Electronics Telecommunications and Information Technologies from Ecole Polytechnique Paris-Tech France Computer Science Specialty The University of Bologna Italy IEIIT-CNR Italy The University of Bologna WiLAB-CNIT Italy The Department of Math and Computer Science Weizmann Institute of Science Israel The Center for Biomedical Engineering and Signal Processing The Israel Academy of Sciences and Humanities IEEE Fellow EURASIP Fellow

6G networks will be required to support higher data rates, improved energy efficiency, lower latency, and more diverse users compared with 5G systems. To meet these requirements, electrically extremely large-scale antenna arrays are envisioned to be key physical-layer technologies. As a consequence, it is expected that some portion of future 6G wireless communications may take place in the radiating near-field (Fresnel) region, in addition to the far-field operation as in current wireless technologies. In this article, we discuss the opportunities and challenges that arise in radiating near-field communications. We begin by discussing the key physical characteristics of near-field communications, where the standard plane-wave propagation assumption no longer holds, and clarifying its implication on the modelling of wireless channels. Then, we elaborate on the ability to leverage spherical wavefronts via beam focusing, highlighting its advantages for 6G systems. We point out several appealing application scenarios which, with proper design, can benefit from near-field operation, including interference mitigation in multi-user communications, accurate localization and focused sensing, as well as wireless power transfer with minimal energy pollution. We conclude by discussing some of the design challenges and research directions that are yet to be explored to fully harness the potential of near-field operation. Copyright © 2022, The Authors. All rights reserved.

关键词： Antenna arrays

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Towards a Low-SWaP 1024-beam Digital Array: A 32-beam Sub-System at 5.8 GHz

arXiv

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arXiv 2022年

作者： Madanayake, Arjuna Ariyarathna, Viduneth Madishetty, Suresh Pulipati, Sravan Cintra, R.J. Coelho, Diego Oliveira, Raíza Bayer, Fábio M. Belostotski, Leonid Mandal, Soumyajit Rappaport, Theodore S. Department of Electrical and Computer Engineering Florida International University MiamiFL United States Department of Electrical and Computer Engineering University of Akron AkronOH United States Signal Processing Group UFPE Brazil Calgary AB Canada Departamento de Estatística LACESM UFSM Brazil Department of Electrical and Computer Engineering University of Calgary CalgaryAB Canada Department of Electrical Engineering and Computer Science Case Western Reserve University ClevelandOH United States NYU Wireless Department of Electrical and Computer Engineering New York University Tandon School of Engineering New YorkNY United States

Millimeter wave communications require multibeam beamforming in order to utilize wireless channels that suffer from obstructions, path loss, and multi-path effects. Digital multibeam beamforming has maximum degrees of freedom compared to analog phased arrays. However, circuit complexity and power consumption are important constraints for digital multibeam systems. A low-complexity digital computing architecture is proposed for a multiplication-free 32-point linear transform that approximates multiple simultaneous RF beams similar to a discrete Fourier transform (DFT). Arithmetic complexity due to multiplication is reduced from the FFT complexity of O(N log N) for DFT realizations, down to zero, thus yielding a 46% and 55% reduction in chip area and dynamic power consumption, respectively, for the N = 32 case considered. The paper describes the proposed 32-point DFT approximation targeting a 1024-beams using a 2D array, and shows the multiplierless approximation and its mapping to a 32-beam sub-system consisting of 5.8 GHz antennas that can be used for generating 1024 digital beams without multiplications. Real-time beam computation is achieved using a Xilinx FPGA at 120 MHz bandwidth per beam. Theoretical beam performance is compared with measured RF patterns from both a fixed-point FFT as well as the proposed multiplier-free algorithm and are in good agreement. Copyright © 2022, The Authors. All rights reserved.

关键词： Beamforming

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Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems

引用

IFAC-PapersOnLine 2021年第7期54卷 463-468页

作者： Konstantin Usevich Philippe Dreesen Mariya Ishteva Université de Lorraine CNRS CRAN Nancy France KU Leuven Dept. Electrical Engineering (ESAT) STADIUS Center for Dynamical Systems Signal Processing and Data Analytics Belgium KU Leuven Department of Computer Science ADVISE-NUMA campus Geel Belgium

We consider the problem of identifying a parallel Wiener-Hammerstein structure from Volterra kernels. Methods based on Volterra kernels typically resort to coupled tensor decompositions of the kernels. However, in the case of parallel Wiener-Hammerstein systems, such methods require nontrivial constraints on the factors of the decompositions. In this paper, we propose an entirely different approach: by using special sampling (operating) points for the Jacobian of the nonlinear map from past inputs to the output, we can show that the Jacobian matrix becomes a linear projection of a tensor whose rank is equal to the number of branches. This representation allows us to solve the identification problem as a tensor recovery problem.

关键词： Block structured system identification parallel Wiener-Hammerstein systems Volterra kernels low-rank tensor recovery canonical polyadic decomposition

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Low-rank tensor recovery for Jacobian-based Volterra identification of parallel Wiener-Hammerstein systems

arXiv

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arXiv 2021年

作者： Usevich, Konstantin Dreesen, Philippe Ishteva, Mariya Université de Lorraine CNRS CRAN Nancy France STADIUS Center for Dynamical Systems Signal Processing and Data Analytics Belgium KU Leuven Department of Computer Science ADVISE-NUMA campus Geel Belgium

关键词： Tensors

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Principled design of translation, scale, and rotation invariant variation operators for metaheuristics

arXiv

引用

arXiv 2021年

作者： Tian, Ye Zhang, Xingyi He, Cheng Tan, Kay Chen Jin, Yaochu Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230601 China Guangdong Provincial Key Laboratory of Braininspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China Department of Computing The Hong Kong Polytechnic University Hong Kong Department of Computer Science University of Surrey Guildford SurreyGU2 7XH United Kingdom

In the past three decades, a large number of metaheuristics have been proposed and shown high performance in solving complex optimization problems. While most variation operators in existing metaheuristics are empirically designed, this paper aims to design new operators automatically, which are expected to be search space independent and thus exhibit robust performance on different problems. For this purpose, this work first investigates the influence of translation invariance, scale invariance, and rotation invariance on the search behavior and performance of some representative operators. Then, we deduce the generic form of translation, scale, and rotation invariant operators. Afterwards, a principled approach is proposed for the automated design of operators, which searches for highperformance operators based on the deduced generic form. The experimental results demonstrate that the operators generated by the proposed approach outperform state-of-theart ones on a variety of problems with complex landscapes and up to 1000 decision variables. © 2021, CC BY.

关键词： Heuristic algorithms

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Locally Decodable Index Codes

Locally Decodable Index Codes

引用

作者： Natarajan, Lakshmi Prasad Krishnan, Prasad Lalitha, V. Dau, Hoang Department of Electrical Engineering Iit Hyderabad Kandi502285 India Signal Processing and Communications Research Center International Institute of Information Technology Hyderabad Hyderabad500032 India Discipline of Computer Science and Information Technology School of Science Rmit University MelbourneVIC3000 Australia

An index code for broadcast channel with receiver side information is locally decodable if each receiver can decode its demand by observing only a subset of the transmitted codeword symbols instead of the entire codeword. Local decodability in index coding is known to reduce receiver complexity, improve user privacy and decrease decoding error probability in wireless fading channels. Conventional index coding solutions assume that the receivers observe the entire codeword, and as a result, for these codes the number of codeword symbols queried by a user per decoded message symbol, which we refer to as locality, could be large. In this paper, we pose the index coding problem as that of minimizing the broadcast rate for a given value of locality (or vice versa) and designing codes that achieve the optimal trade-off between locality and rate. We identify the optimal broadcast rate corresponding to the minimum possible value of locality for all single unicast problems. We present new structural properties of index codes which allow us to characterize the optimal trade-off achieved by: vector linear codes when the side information graph is a directed cycle;and scalar linear codes when the minrank of the side information graph is one less than the order of the problem. We also identify the optimal trade-off among all codes, including non-linear codes, when the side information graph is a directed 3-cycle. Finally, we present techniques to design locally decodable index codes for arbitrary single unicast problems and arbitrary values of locality. © 1963-2012 IEEE.

关键词： Economic and social effects

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A fully recurrent feature extraction for single channel speech enhancement

arXiv

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arXiv 2020年

作者： Shifas, Muhammed P.V. Claudio, Santelli Tsiaras, Vassilis Stylianou, Yannis The Speech Signal Processing Laboratory Department of Computer Science University of Crete Greece The Sonova AG Staefa Switzerland

Convolutional neural network (CNN) modules are widely being used to build high-end speech enhancement neural models. However, the feature extraction power of vanilla CNN modules has been limited by the dimensionality constraint of the convolution kernels that are integrated - thereby, they have limitations to adequately model the noise context information at the feature extraction stage. To this end, adding recurrency factor into the feature extracting CNN layers, we introduce a robust context-aware feature extraction strategy for single-channel speech enhancement. As shown, adding recurrency results in capturing the local statistics of noise attributes at the extracted features level and thus, the suggested model is effective in differentiating speech cues even at very noisy conditions. When evaluated against enhancement models using vanilla CNN modules, in unseen noise conditions, the suggested model with recurrency in the feature extraction layers has produced a segmental SNR (SSNR) gain of up to 1.5 dB, an improvement of 0.4 in subjective quality in the Mean Opinion Score scale, while the parameters to be optimized are reduced by 25%. © 2020, CC BY-SA.

关键词： Deep neural networks

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In-Silico Trained AI for Enhanced T2 Spectrum Imaging and Myelin Water Fraction Mapping in Preclinical 7T MRI

In-Silico Trained AI for Enhanced T2 Spectrum Imaging and My...

引用

IEEE International Symposium on Biomedical Imaging

作者： Daniel Vallejo-Aldana Alonso Ramírez-Manzanares Erick J. Canales-Rodríguez Thomas Yu Abraham Cisneros-Mejorado Luis Concha Jonathan Rafael-Patiño Jean-Philippe Thiran Computer Science Department Centro de Investigación en Matemáticas A.C Guanajuato México Signal Processing Laboratory (LTS5) École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland Advanced Clinical Imaging Technology Siemens Healthineers International AG Lausanne Switzerland Instituto de Neurobiología Universidad Nacional Autónoma de México Juriquilla México Radiology Department Centre Hospitalier Universitaire Vaudois and University of Lausanne Lausanne Switzerland CIBM Center for Biomedical Imaging Switzerland

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

This study introduces a Machine Learning (ML) approach for estimating the T 2 spectrum and myelin water fraction (MWF) using multi-echo T 2 (MET 2 ) data from preclinical 7T Magnetic Resonance Imaging (MRI) scanners. ML methods have shown promise in MWF estimation, outperforming Regularized Non-Negative Least Squares (RNNLS). However, existing ML methods were optimized for high signal-to-noise ratios (SNR) typical of 3T clinical MET 2 data with larger voxel sizes. We adapted the Model-Informed Machine Learning (MIML) method to handle challenges in preclinical 7T MRI, including reduced voxel sizes, elevated noise levels (SNR=30-60), and shifts in T 2 lobes. Results from in-silico simulated data demonstrate the superior performance of the proposed multi-layer-perceptron-based solution over RNNLS. Validation with ME T 2 data from two mice—a healthy control and a cuprizone-exposed pathological mouse—confirms the ML method’s success in identifying cuprizone-induced demyelination. Our study showcases the adaptability and enhanced performance of the MIML approach under challenging preclinical 7T MRI conditions, contributing to the advancement of MWF estimation methods in high-field MRI settings.

关键词： Maximum likelihood estimation Pathology Adaptation models Magnetic resonance imaging Machine learning Brain modeling signal to noise ratio

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Rate-Splitting Multiple Access for Quantized Multiuser MIMO Communications

arXiv

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arXiv 2022年

作者： Park, Seokjun Choi, Jinseok Park, Jeonghun Shin, Wonjae Clerckx, Bruno Department of Electrical Engineering Ulsan National Institute of Science and Technology Korea Republic of The School of Electronics Engineering Kyungpook National University Korea Republic of The Department of Electrical and Computer Engineering Ajou University Suwon16499 Korea Republic of The Communications and Signal Processing Group Department of Electrical and Electronic Engineering Imperial College London LondonSW7 2AZ United Kingdom

This paper investigates the sum spectral efficiency maximization problem in downlink multiuser multiple-input multiple-output (MIMO) systems with low-resolution quantizers at an access point (AP) and users. In particular, we consider rate-splitting multiple access (RSMA) to enhance spectral efficiency by offering opportunities to boost achievable degrees of freedom. Optimizing RSMA precoders, however, is highly challenging due to the minimum rate constraint when determining the rate of the common stream. The quantization errors coupled with the precoders further make the problem more complicated and difficult to solve. In this paper, we develop a novel RSMA precoding algorithm incorporating quantization errors for maximizing the sum spectral efficiency. To this end, we first obtain an approximate spectral efficiency in a smooth function. Subsequently, we derive the first-order optimality condition in the form of the nonlinear eigenvalue problem (NEP). We propose a computationally efficient algorithm to find the principal eigenvector of the NEP as a sub-optimal solution. Simulation results validate the superior spectral efficiency of the proposed method. The key benefit of using RSMA over spatial division multiple access (SDMA) comes from the ability of the common stream to balance between the channel gain and quantization error in multiuser MIMO systems with different quantization resolutions. Copyright © 2022, The Authors. All rights reserved.

关键词： Spectrum efficiency

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