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Double Iterative Algorithm for Symmetric Solution of Multi-variable Quadratic Matrix Equation

Double Iterative Algorithm for Symmetric Solution of Multi-v...

引用

Cloud computing, Big Data and Internet of Things (3CBIT), international conference on

作者： Shijun Chen School of Fuzhou Institute of Technology Fuzhou China

ISBN: (纸本)9781665492263

In this article, a double iterative methods is suggested for solving symmetric matrix of multi-variable quadratic matrix equation. Firstly, the symmetric matrix of a quadratic matrix equation is transformed into the symmetric matrix of the corrected matrix equation by the Newton's algorithm. Then, we develop a modified conjugate gradient algorithm (MCG) for finding a symmetric solution of the modified equation. A numerical example is offered to show the inefficiency of the double iterative methods.

关键词： Cloud computing Symmetric matrices Big Data Iterative methods Internet of Things convergence

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Development of image error correction system for 3D optical microscope

Development of image error correction system for 3D optical ...

引用

international conference on computing technology and Information Management (ICCTIM)

作者： Jiyoung Yoon HyunDeok Kim Cheolhwan Kim 3D Convergence Technology Center Kyungpook National University Daegu Republic of Korea

ISBN: (纸本)9781479962129

Recently 3D optical microscope is developing to see micro details in three-dimensions. To see images of an optical microscope in three-dimensions, we mount two cameras on the optical microscope. Three-dimension images are created using by two images that are incoming image through the refractive mirror with eye piece lens and those are made by two cameras. In this time, because of optical design errors and deformation mechanism of an optical microscope, it makes the problem which is disconformity of images. This case cannot be made a three-dimensional image correctly. We have corrected the error-output image of 3D optical microscope and developed the system showing the correct three-dimensional image.

关键词： Microscopy Optical microscopy Adaptive optics Optical imaging Optical sensors Optical refraction Cameras

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A Gaussian Shuffled Differential Evolution approach to Economic Load Dispatch Problem with valve point effect

A Gaussian Shuffled Differential Evolution approach to Econo...

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international conference on computing, Communication and Automation

作者： NANDAN KUMAR NAVIN RAJNEESH SHARMA Research Scholar Department of Instrumentation and control Engineering Netaji Subhas Institute of Technology New Delhi India Associate Professor Department of Instrumentation and control Engineering Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781509016679

This paper proposes a Gaussian shuffled differential evolution (GSDE) for economic load dispatch problem. Proposed technique employs hybrid shuffled differential evolution with Gaussian mutation operator to blend differential evolution with shuffled frog leaping algorithm. Our approach uses shuffled Gaussian mutation operator for avoiding local optima during optimization and prevents prematurisation of convergence. Gaussian differential mutation operator imparts superior convergence efficiency and accuracy to the solution. We validate the effectiveness and superiority of GSDE by simulation on three diverse test system involving 13, 20 and 40 power generating units and compare performance against shuffled differential evolution, and with other recent techniques. Results demonstrate that proposed Gaussian shuffled differential evolution technique leads to faster and accurate solution to the economic load dispatch problem.

关键词： economic load dispatch gaussian shuffled differential evolution stochastic optimization evolutionary computation

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Cell segmentation and NC ratio analysis for biopsy images using marker controlled watershed algorithm

Cell segmentation and NC ratio analysis for biopsy images us...

引用

international conference on Green computing Communication and Electrical Engineering (ICGCCEE)

作者： P.K. Geetha R. Nidhya A. Dinesh Kumar K. Thamarai Selvi Department of Computer Science and Engineering Dr. NGP Institute of Technology Coimbatore India Dr NGP Institute of Technology Coimbatore Tamil Nadu IN

Segmentation of cell nuclei and cytoplasm is an important task in most of the medical images. Microscopic cell image analysis is the fundamental tool for biological research. Visual inspection of cellular images is often insufficient to detect and describe the important changes in cellular morphology. In this paper, the cell segmentation approach uses the marker controlled watershed based approach, which is used to avoid over segmentation. The main goal of watershed transform is to distinguish the regional minima of original images, which are the nuclei's region and it integrates the convergence index filter to segment the region of cell's cytoplasm. This cell segmentation approach contributes the way for the analysis of nuclear-to cytoplasm ratio (NC ratio), which is significant to distinguish or detecting the prior symptoms of diseases like cancer based on normal and abnormal NC ratios.

关键词： Image segmentation convergence Transforms Indexes Vectors Shape Cancer

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RIS-assisted MEC Computation Offloading for IoVT Networks

RIS-assisted MEC Computation Offloading for IoVT Networks

引用

international conference on Information and Communication technology convergence (ICTC)

作者： Daniar Estu Widiyanti Soo Young Shin Dept. of IT Convergence Engineering Kumoh National Institute of Technology Gumi South Korea

The Internet of Things (IoT) encompasses a wide range of applications; despite that, some challenges persist and require further research and development. One such challenge is encountered in sensing devices, particularly in Internet of Video Things (IoVT) applications that demand high-capacity wireless transmission. These applications face limitations in computational capability and energy consumption of users, posing significant obstacles to overcome. Mobile edge computing (MEC) has gained attention as it offers potential solutions by offloading complex tasks to assist users. However, the line-of-sight (LoS) issue between users and base stations (BS) caused by blocking objects remains a challenge in MEC. To address latency challenges in IoVT communication affected by obstacles, a collaborative framework between reconfigurable intelligence surfaces (RIS) and task offloading techniques in MEC, specifically in IoVT networks, is proposed. This collaboration aims to optimize the performance and efficiency of IoVT systems by harnessing the combined advantages of RIS and task offloading strategies.

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convergence Analysis of Unscented Transform for Underwater Passive Target Tracking in Noisy Environment

Convergence Analysis of Unscented Transform for Underwater P...

引用

IEEE international conference on Signal Processing, Communications and computing (ICSPCC)

作者： Wasiq Ali Yaan Li Shujaat Ali Khan Tanoli Muhammad Asif Zahoor Raja Kashif Javaid Nauman Ahmed School of Marine Science and Technology Northwestern Ploytechnical University Xi'an China COMSATS University Islamabad Attock Pakistan

Optimal passive target tracking in noisy ocean environments is an important research problem. This issue is frequently dealt with nonlinear Bayesian filtering techniques, in which passive measurements are nonlinear while the dynamic system model is considered linear. The key objective of underwater passive object tracking is to accurately find the motion parameters of the object over uncertain measurements extracted from array elements. In this paper, the rule of unscented transform is used to examine the convergence of unscented Kalman filter (UKF) and unscented Rauch Tung Striebel (URTS) type Kalman post processing method. This study delicately finds the real-time state of a long distance dynamic target in a noisy complex underwater scenario, in which variance of background noise is high. Underwater Bearings-Only Tracking (BOT) technology is used for tracking purposes by deploying eight array elements which are localized on a horizontal Uniform Linear Array (ULA). Simulations are done for finding least Root Mean Square Error (RMSE) among real and approximated position of the target. Independent numerical results demonstrate that URTS smoother offers a higher convergence rate from UKF in a noisy ocean environment.

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Evaluating Software-Defined Networking-Driven Edge Clouds for 5G Critical Communications

Evaluating Software-Defined Networking-Driven Edge Clouds fo...

引用

international conference on Information and Communication technology convergence (ICTC)

作者： Fabian Kurtz Igor Laukhin Caner Bektas Christian Wietfeld Communication Networks Institute TU Dortmund University Dortmund

Modern societies are increasingly dependent on Critical Infrastructures (CIs) such as Smart Grids (SGs) and Intelligent Transportation Systems (ITS). Due to continuously rising demands in terms of efficiency and capabilities, complex control and monitoring strategies are employed. These in turn rely on robust, high performance communication networks. As CIs are distributed systems with diverging demands, the deployment of individual networks is often too costly and time consuming. Furthermore, the vast physical scope traditionally results in unacceptably high end-to-end delays. Therefore, a convergence of public and dedicated networks, as well as traditional Information and Communication technology (ICT) with Information technology (IT), are considered key aspects of 5G for addressing these challenges. Hence, this paper provides an empirical evaluation of CI communication services on basis of a Software-Defined Networking (SDN) and Network Function Virtualization (NFV) driven Edge Clouds (ECs) within a sliced 5G network. By shifting computing resources from the backbone or back office towards the network's access level, ECs allow for drastically reduced delays. Also, the traffic load on several layers of the communication infrastructure is reduced, as data can be kept locally, i.e. close to the source. This is demonstrated by shifting an ITS application from a central cloud to the EC. Services are transferred step-wise and transparently, minimizing interruptions while dynamically adapting to the backhaul's available data rate. The developed system is evaluated under realistic traffic conditions within a physical testing environment.

关键词： Cloud computing Delays 5G mobile communication Testing Network slicing Quality of service Communication networks

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End-to-End Speech Recognition technology Based on Multi-Stream CNN

End-to-End Speech Recognition Technology Based on Multi-Stre...

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IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Hao Xiao Yuan Qiu Rong Fei Xiongbo Chen Zuo Liu Zongling Wu College of Computer Science and Engineering Xi’an University of Technology Xi’an China

At a time when end-to-end speech recognition technology is becoming more and more popular, we conduct research on various end-to-end speech technologies, and use the Transformer-based speech framework to study and find that its multi-head attention is not effective in local feature acquisition. And in the face of noise problems in real scenes, the training convergence speed is too slow. In order to solve the problems caused by Transformer, a new speech recognition framework based on MCNN-Transformer-CTC speech recognition method is proposed. Through MCNN (multi-stream convolutional neural network) in the pre-acoustic unit through multiple parallel channels Local feature extraction is carried out in terms of time width and spectral capability, which makes up for the lack of self-attention mechanism in local feature extraction, and the multitask learning method is used to add CTC structure to make up for the problem of slow training convergence. The training effect of this model on the Aishell1 dataset has reached a CER of 6.23%, which is a further improvement compared to the Transformer model.

关键词： Training Learning systems Privacy Computational modeling Speech recognition Transformers Feature extraction

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Collaborative Positioning technology Based on Iridium/UWB

Collaborative Positioning Technology Based on Iridium/UWB

引用

IEEE international conference on Signal Processing, Communications and computing (ICSPCC)

作者： Yuan Zhao Yangyang Liu Lei Lei Guanbo Chen Zesheng Dan Chengkai Tang School of Information Engineering Xi'an Mingde Institute Technology Xi'an China School of Electronics and Information Northwestern Polytechnical University Xi'an China

ISBN: (数字)9798350366556

ISBN: (纸本)9798350366563

Low earth orbit (LEO) satellites have low orbit altitude, strong landing signal power, and strong anti-interference ability, which is an attractive way to provide available navigation and positioning services for GNSS-challenged environments. This work studies Iridium signals and establishes a mathematical model for Iridium Doppler positioning by extracting instantaneous Doppler information from iridium opportunity signals. Then, UWB is used to perform peer-to-peer ranging measurement and communication between agent nodes. Finally, a collaborative positioning technology based on Iridium/UWB is proposed. Simulation results show that compared with iridium satellite opportunity signal positioning, the proposed method can significantly improve the convergence speed and positioning accuracy of the algorithm.

关键词： Satellites Accuracy Simulation Collaboration Low earth orbit satellites Signal processing algorithms Iridium Peer-to-peer computing Doppler effect convergence

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A Wireless Sensor Network Location Algorithm Based on Whale Algorithm

A Wireless Sensor Network Location Algorithm Based on Whale ...

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IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems

作者： Fenghao Lang Jun Su ZhiWei Ye XiaoXiao Shi Feng Chen School of Computer Science Hubei University of Technology Wuhan China

In the research of wireless sensor network, how to improve the positioning accuracy of nodes is the key problem. At this stage, some scholars combine swarm intelligence optimization algorithm with wireless sensor network, and have achieved good results. However, in wireless sensor network node localization, the combination of some optimization algorithms and node localization still has some problems, such as slow convergence speed and low localization accuracy. In this paper, we use whale optimization algorithm to optimize the formula of the relationship between received signal strength and signal transmission distance, and train the parameters A and n, so as to optimize the relationship between signal strength and signal transmission distance. Through simulation experiments, the whale optimization algorithm is compared with the particle swarm optimization algorithm. The whale optimization algorithm has certain competitiveness and practicability.

关键词： Optimization Whales Wireless sensor networks Distance measurement Mathematical model Particle swarm optimization convergence

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