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Low complexity Spatial Covariance Matrix Reconstruction Algorithm in 2D Hybrid Massive MIMO Systems 7

Low Complexity Spatial Covariance Matrix Reconstruction Algo...

引用

7th international conference on Signal and Image Processing, ICSIP 2022

作者： Ye, Shujun Li, Liujing Zhou, Yan Northwest University School of Information Science and Technology Xi'an710127 China

ISBN: (数字)9781665495639

ISBN: (纸本)9781665495639

Massive multiple-input multiple-output (MIMO) has been used in fifth generation (5G) cellular communications. Hybrid analog-to-digital structures offer significant advantages for millimeter-wave communication, such as the reduction in the number of radio frequency (RF) chains. In this structure, the signal at each antenna is not directly received by the digital receiver. Consequently, the spatial covariance matrix, which is an integral part of the direction of arrival (DOA) estimation, is unavailable. In previous studies, the beam sweeping algorithm (BSA) has been found effective for reconstructing the spatial covariance matrix and realizing DOA estimation. However, it has been proven to be computationally intractable. To address this problem and improve the DOA estimation performance, a high-efficiency BSA algorithm aimed at two-dimensional DOA estimation (2D HeBSA) is proposed. the real-valued spatial covariance matrix can be reconstructed by adjusting weights connected to antennas via low-dimensional matrix multiplication. therefore, super-resolution DOA estimation can be performed using multiple signal classification (MUSIC). Finally, simulations are performed to evaluate our algorithm. According to simulation results, the estimation performance of the proposed algorithm can achieve a better DOA estimation result compared with that of BSA at a considerably lower computational cost. © 2022 IEEE.

关键词： Multiple signal classification

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Control Allocation of X-form Rudder Based on Neural Networks

Control Allocation of X-form Rudder Based on Neural Networks

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IEEE international conference on Mechatronics, Robotics and Automation (ICMRA)

作者： Yueming Qin Wubo Pei Xing Shao Yang Xu Yichang Testing Technique Research Institute Yichang China

ISBN: (数字)9798350352474

ISBN: (纸本)9798350352481

At present, there are mainly two common frameworks for implementing the control allocation of X-form rudder: namely the pseudo-inverse framework and the optimization based framework. In order to obtain better allocation performance than the former and lower computational complexity than the latter at the same time, this paper proposes a new framework, namely the neural networks framework, for control allocation of X-form rudder. In this paper, neural networks are applied to fit the mapping from desired moments (roll moment, pitch moment and yaw moment) to the proper rudder angles. the experimental results show that the proposed method is effective and can fulfill the task of control allocation.

关键词： Mechatronics Neural networks Resource management Robotics and automation Computational complexity Optimization

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eLearning 2022 - 13th international conference on eLearning

eLearning 2022 - 13th International Conference on eLearning

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13th international conference on eLearning, eLearning 2022

the proceedings contain 7 papers. the topics discussed include: going beyond the LMS logs - the complexity of analyzing learning evidences;using descriptive and predictive learning analytics to understand student behavior at LMS Moodle;evaluation of STEAM methodologies in undergraduate applied mathematics courses;prediction of student academic performance using machine learning algorithms;a lightweight permissioned distributed ledger for credentialing in higher education institutions;psychometric properties of a 21st century digital skills scale;and learning management systems for hybrid teaching models in primary schools in Serbia during the COVID-19 pandemic.

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Design and Implementation of an Autonomous Line-Following Minidrone Using Image Processing and PID Control

Design and Implementation of an Autonomous Line-Following Mi...

引用

Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), international conference

作者： Rekha P Maaz Hussain Misrah Naveed Dept. of ECE BNM Institute of Technology Bangalore India 7th Sem ECE BNM Institute of Technology Bangalore India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

this paper presents a comprehensive approach to controlling a Parrot Mambo minidrone in a simulation environment using MATLAB. the primary objective is to guide the drone along a predefined path while maintaining stability and precision. Optical flow technique and Inertial Measurement Unit sensor data are used for real-time position and velocity estimation. Path planning algorithms, coupled with control strategies such as Kalman filtering and dynamic error correction, ensure the drone follows the optimal path to reach its target. Simulation results demonstrate the effectiveness of the proposed system in successfully navigating the drone through complex maneuvers with minimal drift.

关键词： Filtering Simulation Heuristic algorithms Real-time systems Error correction Kalman filters MATLAB Optical flow Tuning Drones

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Research on Network Resource Data Correlation Analysis Method Based on NoSQL Structure

Research on Network Resource Data Correlation Analysis Metho...

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Computer Information Science and Application Technology (CISAT), international conference on

作者： Yuling Chao Haolun Ding Hong Mei Guolin Song China Mobile Group Design Institute Co. LTD Beijing China

ISBN: (数字)9798350375107

ISBN: (纸本)9798350375114

the network resource data is based on the traditional relational modeling methods, which leads to data analysis being implemented only through “hard modeling” “hard coding” “customization”, which cannot meet the flexible and fast data aggregation and analysis requirements in areas such as network planning, construction, and operation. this paper proposes a method for fast and general data aggregation and association analysis based on NoSQL data structure, and verifies it with actual production data, demonstrating that the association analysis method based on NoSQL data structure has advantages in terms of processing speed and implementation complexity.

关键词： Structural rings Analytical models Correlation Computational modeling Production Data aggregation Data structures Data models complexity theory Planning

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SED-Net: Speedy Encoding-Decoding Network for Artistic Style Transfer

SED-Net: Speedy Encoding-Decoding Network for Artistic Style...

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Pattern Recognition and Artificial Intelligence (PRAI), international conference on

作者： Haoqun Teng Software Engineering Institute of Guangzhou Guangzhou Guangdong China

ISBN: (数字)9798350350890

ISBN: (纸本)9798350350906

To address the issues of high computational complexity and low adaptability in traditional image style transfer models, this paper proposes a Speedy Encoder-Decoder Network for Style Transfer (SED-Net). this network improves computational efficiency by introducing channel-wise convolution techniques. Additionally, the incorporation of attention mechanisms and Adaptive Instance Normalization between the encoder and decoder enhances the quality and adaptability of style transfer. Experimental results demonstrate that SED-Net achieves efficient real-time transfer and superior performance in terms of SSIM and PSNR compared to traditional Neural Style Transferand Fast Style Transfer. the generated images also exhibit more natural visual effects.

关键词： Attention mechanisms Convolution Computational modeling Visual effects Real-time systems Pattern recognition Decoding Computational efficiency Computational complexity Artificial intelligence

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mwp-Analysis Improvement and Implementation: Realizing Implicit Computational complexity 7

mwp-Analysis Improvement and Implementation: Realizing Impli...

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7th international conference on Formal Structures for Computation and Deduction, FSCD 2022

作者： Aubert, Clément Rubiano, thomas Rusch, Neea Seiller, thomas School of Computer and Cyber Sciences Augusta University GA United States LIPN UMR 7030 Université Sorbonne Paris Nord France CNRS Paris France

ISBN: (纸本)9783959772334

Implicit Computational complexity (ICC) drives better understanding of complexity classes, but it also guides the development of resources-aware languages and static source code analyzers. Among the methods developed, the mwp-flow analysis [23] certifies polynomial bounds on the size of the values manipulated by an imperative program. this result is obtained by bounding the transitions between states instead of focusing on states in isolation, as most static analyzers do, and is not concerned with termination or tight bounds on values. those differences, along with its built-in compositionality, make the mwp-flow analysis a good target for determining how ICC-inspired techniques diverge compared with more traditional static analysis methods. this paper’s contributions are three-fold: we fine-tune the internal machinery of the original analysis to make it tractable in practice;we extend the analysis to function calls and leverage its machinery to compute the result of the analysis efficiently;and we implement the resulting analysis as a lightweight tool to automatically perform data-size analysis of C programs. this documented effort prepares and enables the development of certified complexity analysis, by transforming a costly analysis into a tractable program, that furthermore decorrelates the problem of deciding if a bound exist with the problem of computing it. © Clément Aubert, thomas Rubiano, Neea Rusch, and thomas Seiller

关键词： Machinery

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Interdisciplinary Competence Prediction for Engineering College Students Based on Decision Tree

Interdisciplinary Competence Prediction for Engineering Coll...

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international conference on Educational and Information Technology (ICEIT)

作者： Zhiwei Oi Wei Xu Yuanvuan Wang School of Education Yunnan University Yunnan China

ISBN: (数字)9798331540883

ISBN: (纸本)9798331540890

With the increasing complexity of engineering problems, it is difficult for single-discipline knowledge to solve complex engineering problems, and the cultivation of interdisciplinary ability has become the main goal of engineering education. However, the process of interdisciplinary competence development is affected by many factors, such as student factors, teacher factors, school factors, and artificial intelligence factors. Firstly, we collected data on the influencing factors of interdisciplinary competence, and secondly, we performed data processing and explored the importance of each influencing factor on interdisciplinary competence using the classification and regression trees algorithm. the prediction model and 7 decision rules were obtained after optimizing the decision tree using the cost complexity pruning algorithm, the model has an accuracy rate of 75.1%. Finally, we analyze the experimental results and conclude that teachers' teaching style is the main factor affecting interdisciplinary competence, followed by the frequency of using smart tools, students' motivation to be interdisciplinary, the availability of school facilities, teachers' interdisciplinary background, and school curriculum as important influencing factors. the results of this study will provide applied guidance for the development of interdisciplinary competence among engineering college students.

关键词： Knowledge engineering Machine learning Predictive models Prediction algorithms Data processing complexity theory Classification algorithms Information technology Engineering education Regression tree analysis

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Hybrid Genetic algorithms and Heuristics for Nonlinear Short-Term Hydropower Optimization: A Comparative Analysis 28th

Hybrid Genetic Algorithms and Heuristics for Nonlinear Short...

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28th international conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024

作者： Aminabadi, M. Jafari Séguin, S. Fofana, I. Department of applied sciences Université du Québec à Chicoutimi SaguenayQcG7H 2B1 Canada Department of computer science and mathematics Université du Québec à Chicoutimi SaguenayQcG7H 2B1 Canada GERAD MontréalQcH3T 1J4 Canada Canada

In this paper, a Mixed Integer Nonlinear Programming (MINLP) for the short-term hydropower optimization problem considering operational constraints such as demand and startup costs, is presented. Since solving the MINLP is complicated and, in many cases, impossible, three methods are proposed based on reducing the complexity, which is hybridized with the exact solver. Method A, a binary genetic algorithm;method B, an iterative heuristic method;and method C, using the iterative heuristic method in the genetic algorithm. Based on computational results in a case study, method B converges to a solution very quickly and with few iterations, whereas methods A and C perform more efficiently. A comparison between methods A and C indicates that method C not only reduces the computational burden for convergence but also yields better results. the proposed methods are evaluated by comparing them with optimal solutions. the results indicate that the proposed methods are highly effective in achieving favorable results. © 2024 the Authors.

关键词： Mixed-integer linear programming

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Simulation Study on Biped Walking Gait in Low Gravity Environment Based on Computer Human Body Measurement Model

Simulation Study on Biped Walking Gait in Low Gravity Enviro...

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Advanced algorithms and Control Engineering (ICAACE), international conference on

作者： Chunhua Xue Jianjian Lin University of International Relations Beijing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

Objective: Both simulation and experimental studies show that human walking is a passive biped walking mode adapting to the gravity environment of the earth, and its energy consumption rate is much lower than that of biped robot[1]. In the earth's gravity environment, when the leg length, leg centroid, inertia parameters, joint position and the mass characteristics of the whole human body are fixed, the gait characteristics (step length and period) are fixed. this article establishes a passive bipedal walking model through computer human body measurement and conducts simulation research on gait differences in gravity environments on Earth, Moon, and Mars. the research results can provide a basis for future astronaut training.

关键词： Legged locomotion Earth Training Mars Computational modeling Biological system modeling Moon

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