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检索条件"任意字段=International Conference on Engineering of Reconfigurable Systems and Algorithms"

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A Review on reconfigurable Antenna and its Design Methods for Sub-6 GHz Applications

A Review on Reconfigurable Antenna and its Design Methods fo...

引用

2024 international conference on Integrated Circuits, Communication, and Computing systems, ICIC3S 2024

作者： Bhickta, Shalini Jaglan, Naveen Kumar, Amit Jaypee University of Information Technology Department of Electronics and Communication Engineering Solan Waknaghat India Jaypee University of Information Technology Department of Computer Science and Engineering Solan Waknaghat India

ISBN: (纸本)9798350364088

In modern wireless tele- communication, the key element for better and higher performance of the communication system is an Antenna. An antenna which removes all complex issues of weather, scattering and effects of multiple paths is in demand for current wireless system issues. The Antenna with Reconfiguration capabilities in current scenario solves these issues. The popularity of Reconfiguration in antennas has seen a significant growth due to its versatile capabilities. Therefore, reconfiguration in the structure of an Antenna without changing the physical dimensions and saving space realize the goal of high speed, gain, channel capacity and signal-to-Noise Ratios (SNR). In this paper a brief knowledge of various methods of designing a reconfiguration antenna is reviewed. The different switching techniques used for the activating the reconfiguration mechanism is discussed. The advancement of reconfiguration in multi-input multi-output (MIMO) systems is also studied. © 2024 IEEE.

关键词： Signal to noise ratio

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Recent Advances and Future Scopes of Multi-Linear Polarization reconfigurable Antennas 15

Recent Advances and Future Scopes of Multi-Linear Polarizati...

引用

15th international conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Chen, Shu-Lin Qin, Pei-Yuan Liu, Yanhui Lin, Wei University of Technology Sydney Global Big Data Technologies Centre Sydney Australia University of Electronic Science and Technology of China School of Electronic Science and Engineering China The Hong Kong Polytechnic University Department of Electronic and Information Engineering Hong Kong

ISBN: (纸本)9798350338874

reconfigurable antennas are attractive for dynamic changing electromagnetic environments. Multi-linear polarization (multi-LP) antennas are particularly desired for polarization matching in LP wireless systems. In this work, we discussed our recent advances on the multi-LP antennas, including their ability to facilitate millimeter-wave (mm-wave) operation and enable flexible selection of LP number. In addition, we further discuss their bottlenecks and future scopes of the multi-LP antenna for beyond 5G and 6G systems. © 2023 IEEE.

关键词： Millimeter waves

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State Machine Implementation of ATGP Algorithm F or Target Detection in Hyperspectral Images

State Machine Implementation of ATGP Algorithm F or Target D...

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2024 international conference on Smart systems for Electrical, Electronics, Communication and Computer engineering, ICSSEEC 2024

作者： Suriyaprakash, T.B. Hema Chitra, S. PSG College of Technology Department of Electronics and Communication Engineering Tamilnadu India

ISBN: (数字)9798350378177

ISBN: (纸本)9798350378177

In the realm of remote sensing, hyperspectral imaging is a new field of study. Hyperspectral sensors use the surface of the earth to record hundreds of continuous spectral bands as a three-dimensional cube. The maximum data rate of the communication system might be exceeded by the transmission of this massive amount of data to the station on Earth. The ground processing system might also be burdened by the high dimensional data. FPGAs are light, small in size and have parallel processing systems with low power consumption. They have a reconfigurable capability and can also handle ionizing radiation in space. This work's primary contribution is the development and application of a productive, unsupervised method for target detection in hyperspectral image. The classical Orthogonal Subspace Projection (OSP) algorithm is difficult to implement in hardware as it involves matrix inversion operations and also does not meet the real-time requirements. To overcome this limitation, a modified version of ATGP algorithm is adopted with Gram-Schmidt Orthogonalization is implemented in State machine which uses only inner products. This may reduce the complexity of hardware implementation, fasten the processing speed and reduces the error probability. The algorithm is proposed and is implemented in HDL(Hardware Description Language). © 2024 IEEE.

关键词： Remote sensing

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Optimal Operation of PV-integrated reconfigurable Microgrids and Computational Burden 24

Optimal Operation of PV-integrated Reconfigurable Microgrids...

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24th EEEIC international conference on Environment and Electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Zandrazavi, Seyed Farhad Shafie-Khah, Miadreza School of Technology and Innovations University of Vaasa Vaasa Finland

ISBN: (纸本)9798350355185

This paper addresses the significant potential of reconfiguration in renewable-based microgrids (MGs), emphasizing not only its practical benefits but also the computational challenges involved. Firstly, a nonlinear non-convex model developed for the optimal operation of photovoltaic (PV)-integrated reconfigurable microgrids (RMGs). To guarantee the optimality of the solutions, we further refine the model by extracting a mixed-integer linear programming model, achieved through the implementation of piecewise linearization technique and approximation. To substantiate the efficacy and importance of reconfiguration in MGs, comparative analyses of two distinct case studies-one with reconfiguration and one without are presented. These comparisons not only highlight the operational improvements afforded by reconfiguration but also shed light on the computational complexities encountered. Moreover, the impact of different radiality method selections on the computational time is explored. Our findings validate the significant role of reconfiguration in enhancing the performance of renewable-based MGs while also emphasizing the critical consideration of computational burden in the design and implementation of such systems. © 2024 IEEE.

关键词： Mixed-integer linear programming

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Investigating the Dynamical Behavior of Quantum Dynamics Framework Algorithm with the Rastrigin-like Test Benchmark 24

Investigating the Dynamical Behavior of Quantum Dynamics Fra...

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8th international conference on algorithms, Computing and systems, ICACS 2024

作者： Luo, Limeng Wang, Peng Zhao, Minghui School of Computer Science and Engineering Southwest Minzu University Sichuan Chengdu China

ISBN: (纸本)9798400718304

With the emergence of various optimization algorithms, studying the specific dynamic evolution process of algorithms is of significant importance for proposing new algorithms and optimizing classical ones. The Quantum Dynamics Framework(QDF) Optimization Algorithm is derived from the Taylor expansion of the Schrödinger equation, providing a rigorous mathematical and physical foundation. Its iterative behavior can reflect the generality of evolution in most optimization algorithms. However, the iteration process of QDF on the multi-modal Rastrigin function faces challenges in convergence, necessitating meticulous evaluation and research of test functions. Therefore, this paper constructs an adjustable, scalable, and diverse Rastrigin-like Test Benchmark (RTB) collection, extending, shifting, and rotating the Rastrigin function in multi-modal scenarios. By viewing the algorithm's iteration process from the perspective of quantum dynamics as the evolution of sampling particles over time, and utilizing RTB to delve into the dynamical behavior of QDF algorithm, this research approach effectively supports the observation and improvement of algorithmic iteration processes, providing fundamental guidance for algorithmic optimization decisions. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Schrodinger equation

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Academic Performance Analysis of the Students with Feature Retraction Using Machine Learning algorithms 4

Academic Performance Analysis of the Students with Feature R...

引用

4th international conference on Sustainable Expert systems, ICSES 2024

作者： Chowdhury, Suman Das, Dilip Kumar International University of Business Agriculture and Technology Department of Electrical and Electronic Engineering Dhaka1230 Bangladesh International University of Business Agriculture and Technology Department of Mathematics Dhaka1230 Bangladesh

ISBN: (纸本)9798331540364

This research investigates the application of machine learning algorithms to predict student academic performance based on historical data and current factors. Five machine learning algorithms were employed to analyze thirteen features related to student demographics, academic background, and other relevant factors. The study evaluates the performance of the algorithms using classification metrics, including the classification matrix and confusion matrix. The results demonstrate that after data preprocessing, four out of the five classifiers achieved 100% accuracy, while K-Nearest Neighbors (KNN) achieved 80% accuracy. Random Forest (RF) exhibited a significant improvement from 92% accuracy before preprocessing to 100% accuracy after preprocessing. Chi-square analysis reveals that age and gender features has no significant impact on academic performance. This finding suggests that other factors, such as study habits, motivation, and socioeconomic conditions, may play a more influential role in predicting student success. The research contributes to the understanding of factors influencing student academic performance and provides valuable insights for educators and policymakers. By leveraging machine learning techniques, this study demonstrates the potential for predicting student success and implementing targeted interventions to support student achievement. © 2024 IEEE.

关键词： Adversarial machine learning

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Prerequisites for Using Genetic Algorithm Optimization of Structural systems in the Conceptual Design Phase 16

Prerequisites for Using Genetic Algorithm Optimization of St...

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16th international conference on ENTERprise Information systems, CENTERIS 2024 - 12th international conference on Project MANagement, ProjMAN 2024 - 14th international conference on Health and Social Care Information systems and Technologies, HCist 2024

作者： Kärvegård, Linn Klasson, Sofia Cusamano, Linda Rempling, Rasmus Department of Architecture and Civil Engineering Chalmers University of Technology GothenburgSE-412 96 Sweden NCC AB GothenburgSE-412 50 Sweden

The construction industry is undergoing a transformative shift towards environmental sustainability. This shift demands that building projects not only adapt to traditional benchmarks of time and cost but also integrate considerations for minimizing CO2 equivalent emissions. In this context, the critical decision of choosing an optimal structural system during the concept exploration phase becomes crucial to lowering the environmental footprint in the industry. Understanding a building's carbon emission in the conceptual design phase will become even more essential. Therefore, this study explores the possibilities of using genetic algorithms (GA), a multicriteria optimization method inspired by the evolution process, as a work support for structural engineers in early design phases. This study is performed to design a database and investigate the prerequisites for software using genetic algorithms to optimize structural systems based on cost and environmental impact. © 2025 The Authors.

关键词： Zero-carbon

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A Review of Machine Learning algorithms for Detection of Breast Cancer 4

A Review of Machine Learning Algorithms for Detection of Bre...

引用

4th international conference on Ubiquitous Computing and Intelligent Information systems, ICUIS 2024

作者： Tale, Abhay Barhate, Aditya Verma, Prateek Gourshettiwar, Palash Faculty of Engineering and Technology Department of Artificial Intelligence and Data Science Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence and Machine Learning Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Maharashtra Wardha442001 India

ISBN: (纸本)9798331529635

Breast cancer is still a global health concern, chiefly affecting women, as it is one of the major causes of cancer mortality. For the therapy to be effective, early diagnosis of cancer is critical to raising the survival level and increasing the effectiveness of the procedure. The advancement in the applied technique of Machine Learning (ML) has brought further opportunities for early and effective diagnosis of breast cancer. This review paper provides insights into how different ML algorithms including the Support Vector Machine (SVM), Convolutional Neural Network (CNN), Random Forests, and many more have contributed to the detection of breast cancer. These algorithms have proved effective in providing solutions to various medical data and imaging including early diagnosis and treatment. The paper also looks at the use of ML with precision medicine to show that these technologies will help minimize false diagnoses and offer better treatment options. This review consolidates recent works and advancements to emphasize the prospect of ML in breast cancer management and calls for more studies to enhance its implementation in practice © 2024 IEEE.

关键词： Convolutional neural networks

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Functionality test methodology for virtual commissioning of reconfigurable manufacturing systems 16

Functionality test methodology for virtual commissioning of ...

引用

16th CIRP conference on Intelligent Computation in Manufacturing engineering, CIRP ICME 2022

作者： Wallner, Bernhard Trautner, Thomas Bleicher, Friedrich TU Wien Institute of Production Engineering and Photonic Technologies Getreidemarkt 9 Wien1060 Austria

reconfigurable manufacturing systems (RMS) are complex systems that regularly change the system behavior. One method to deal with this is virtual commissioning (VC). The new behavior needs to be implemented in the individual machines and the RMS-control and tested and verified afterward. Although various concepts for modeling behavior exist, simulations often lack interpreting and testing. This paper proposes a methodology for simulating and testing the functionality of RMS based on different behavior descriptions. A Proof of concept shows the first implementation of this methodology using a CAE platform combined with python. © 2023 Elsevier B.V.. All rights reserved.

关键词： Computer aided manufacturing

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Joint Task Offloading and Resource Allocation in Heterogeneous Edge Environments 42

Joint Task Offloading and Resource Allocation in Heterogeneo...

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42nd IEEE international conference on Computer Communications, INFOCOM 2023

作者： Liu, Yu Mao, Yingling Liu, Zhenhua Ye, Fan Yang, Yuanyuan Stony Brook University Department of Electrical and Computer Engineering United States Stony Brook University Department of Applied Mathematics and Statistics United States

ISBN: (纸本)9798350334142

Mobile edge computing is becoming one of the ubiquitous computing paradigms to support applications requiring low latency and high computing capability. FPGA-based reconfigurable accelerators have high energy efficiency and low latency compared to general-purpose servers. Therefore, it is natural to incorporate reconfigurable accelerators in mobile edge computing systems. This paper formulates and studies the problem of joint task offloading, access point selection, and resource allocation in heterogeneous edge environments for latency minimization. Due to the heterogeneity in edge computing devices and the coupling between offloading, access point selection, and resource allocation decisions, it is challenging to optimize over them simultaneously. We decomposed the proposed problem into two disjoint subproblems and developed algorithms for them. The first subproblem is to jointly determine offloading and computing resource allocation decisions and is NP-hard, where we developed an algorithm based on semidefinite relaxation. The second subproblem is to jointly determine access point selection and communication resource allocation decisions, where we proposed an algorithm with a provable approximation ratio of 2.62. We conducted extensive numerical simulations to evaluate the proposed algorithms. Results highlighted that the proposed algorithms outperformed baselines and were near-optimal over a wide range of settings. © 2023 IEEE.

关键词： Resource allocation

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