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共 19837 条记录，以下是111-120 订阅

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Proceedings - 2024 international conference on computers, Information Processing and advanced Education, CIPAE 2024

Proceedings - 2024 International Conference on Computers, In...

引用

5th international conference on computers, Information Processing and advanced Education, CIPAE 2024

ISBN: (纸本)9798331527662

The proceedings contain 168 papers. The topics discussed include: a D3QN-APMA2C design for load planning in multi-destination airborne combat;prediction model of graduate employment rate based on chaotic analysis and least squares support vector machine;spatial grid algorithm in aviation control area division;using machine learning and improved algorithms to optimize e-commerce pricing models;research on evaluation test of intelligent information system in improving the effect of computer aided education;research on digital recording system of bogie maintenance in subway frame overhaul workshop;research on the cloud and network integration native technologies;research on book information accurate retrieval recommendation system based on large language model;and a study on the application of algorithm for translation template extraction based on sentence comparison (ATTEBSC) in English translation.

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IoT-Enabled Smart Air Traffic control for Drones in Urban Areas: AI-Driven Route Optimization and Energy Management 2

IoT-Enabled Smart Air Traffic Control for Drones in Urban Ar...

引用

2nd international conference on advanced Innovations in Smart Cities, ICAISC 2025

作者： Turjo, Khondaker Iffti Hasan Ahmed, Mustakim Redwan, Kazi Al Sohan, Md. Faruk Abdullah Nahar, Afroza Mahmood, Mohammad Sakib American International University-Bangladesh Department of Computer Science Dhaka Bangladesh

ISBN: (纸本)9798331506995

The growth of drone and Unmanned Aerial Vehicle (UAV) use in cities brings a new set of challenges to safely manage air traffic in crowded urban skies. This research proposes an innovative IoT-enabled and AI-driven air traffic control system designed specifically to meet the unique demands of urban drone applications such as deliveries, surveillance and disaster response. The proposed system integrates advanced AI techniques, namely Particle Swarm Optimization (PSO) for decentralized control, Ant Colony Optimization (ACO) for adaptive routing and Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization. These methodologies enable real-time route optimization, collision avoidance and energy efficiency. A combination of three-dimensional (3D) urban navigation and Voronoi-based geofencing helps in avoiding obstacles and restricted areas. This proposed system also incorporates IoT-based battery monitoring for real-time energy management and utilizes hybrid communication networks to maintain seamless operations in high-density urban airspaces. Cellular, satellite and local access make for effective and dependable delivery of the communication network. Weather conditions are used in optimization to achieve adaptive routing. Case studies illustrate the practical implementation of this scalable framework, highlighting its ability to enhance safety, operational efficiency and sustainability in urban UAV operations. © 2025 IEEE.

关键词： Air traffic control

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Optimizing Acoustic Echo Cancellation with Variable Step Size in Adaptive Filtering

Optimizing Acoustic Echo Cancellation with Variable Step Siz...

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2024 international conference on advanced Technologies for Communications, ATC 2024

作者： Chen, Yen-Yi Wang, Jian-Hong Chan, Po-Cheng Liang, Kai-Wen Wang, Ze-Yu Wang, Jia-Ching School of Computer Science and Technology Shandong University of Technology Shandong Zibo China National Central University Department of Computer Science and Information Engineering Taoyuan Taiwan Advanced Technology Laboratory Chunghwa Telecom Laboratories Taiwan

ISBN: (纸本)9798350353983

This paper presents an innovative approach to acoustic echo cancellation (AEC) by applying Variable Step Size (VSS) separately to each adaptive filtering technique: Normalized Least Mean Square (NLMS), and Proportionate Normalized Least Mean Square (PNLMS). This application is tailored to overcome the challenges of step size adjustment and signal sparsity, significantly enhancing system performance. We demonstrate that utilizing VSS with each algorithm independently allows for optimized control over convergence rates-larger step sizes quicken convergence while smaller sizes ensure smoother transitions. This method improves the robustness and efficiency of echo cancellation systems, removing the need for manual step size adjustments and proving highly effective in real-time applications. © 2024 IEEE.

关键词： Echo suppression

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Multi-Modal Emotion and Gesture Recognition System for Humans and Animals Using computer Vision and Deep Learning 5

Multi-Modal Emotion and Gesture Recognition System for Human...

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5th international conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Nair, Rekha R Babu, Tina Kishore, S. Shivaswamy, Smitha Aruna, S. Bhargavi, Manchikalapudi Alliance School of Advanced Computing Alliance University Department of Computer Science and Engineering Bengaluru India Department of Computer Application Karnataka Mangaluru India Acharya Institute of Technology Department of Computer Applications Bengaluru India School of Science and Computer Studies CMR University Bangalore India Hyderabad India

ISBN: (纸本)9798331518097

Emotion recognition through facial expressions and gesture analysis has emerged as a key area of research in computer vision and human-computer interaction. The ability to automatically detect and classify human emotions has wide-ranging applications, from enhancing user experiences to improving mental health monitoring and surveillance systems. This project builds on this background to develop a comprehensive system for recognizing emotions and gestures in both humans and animals. The system integrates facial emotion recognition, hand gesture interpretation, and animal emotion detection into a single platform. Using advanced deep learning models and computer vision libraries, the system classifies facial expressions into categories such as happiness, sadness, anger, fear, surprise, and neutral. The gesture recognition component interprets hand signals to convey messages like 'need help' or 'need water.' An innovative aspect of this work is the extension of emotion recognition to animals, particularly focusing on species like dogs and monkeys. Implemented primarily in Python, the system leverages libraries such as OpenCV and DeepFace. By combining these different modalities of nonverbal communication analysis, the project presents a versatile solution with potential applications in human-computer interaction, mental health monitoring, security, and animal welfare. © 2024 IEEE.

关键词： Gesture recognition

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2024 international conference on advanced Mechatronic Systems, ICAMechS 2024

2024 International Conference on Advanced Mechatronic System...

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2024 international conference on advanced Mechatronic Systems, ICAMechS 2024

ISBN: (纸本)9798350366204

The proceedings contain 65 papers. The topics discussed include: depth estimation using omnidirectional stereo imaging and machine learning;fitness-distance balance based symbiotic organism search algorithm for path planning of warehouse systems;RustGAN: a method to generate rusty screw with physicochemical constraints;enhancing ResNet architectures with Bayesian optimized stochastic configuration networks for lung x-ray image classification;multi-robot FastSLAM based on consensus of observed data;regular session ThuA01 intelligent control algorithm;right coprime factorization for nonlinear system with uncertainty based on time-varying Bezout identity;and factors affecting the performance of students in the computer level II examination in the College of Engineering, Guangzhou Institute of Business and Economics.

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Energy Management, control, and Operations in Smart Grids: Leveraging Blockchain Technology for Enhanced Solutions 18

Energy Management, Control, and Operations in Smart Grids: L...

引用

18th international conference on Future Networks and Communications (FNC) / 20th international conference on Mobile Systems and Pervasive Computing (MobiSPC) / 13th international conference on Sustainable Energy Information Technology (SEIT)

作者： Leila, Douiri Ouchani, Samir Kordoghli, Sana Fethi, Zegrouba Karim, Beddiar CESI LINEACT Nantes Nantes France RLEST Hammam Lif 2050 Tunisia CESI LINEACT Aix En Provence Aix En Provence France

As smart grids advance rapidly, they are evolving along two primary trajectories: (1) digitalization through the incorporation of Internet of Things (IoT) technology and intelligent control, and (2) decentralization by leveraging small-scale distributed energy sources for control. However, these developments also introduce complexities in the functioning, management, and control of smart grids. Consequently, there is an urgent need for a transparent, secure, robust, transactive, and scalable framework for all stakeholders and operators. Blockchain technology emerges as a promising solution for this new smart grid paradigm, providing a range of features, including a distributed ledger, immutability, consensus, security, and automation. This article highlights the challenges in smart grid management, control, and operations, and discusses the potential of blockchain-based solutions to address these issues. It demonstrates that the adoption of blockchain can significantly enhance the overall functioning of the infrastructure by establishing a decentralized architecture without central governance.

关键词： Smart grid Blockchain advanced Metering Infrastructure Distribted Energy Ressources Decentralization Energy Management

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Covariance control of an Earth-to-Mars Transfer with control Actuation Errors 1

引用

4th international conference on Optimization Learning Algorithms and Applications

作者： Benedikter, Boris Zavoli, Alessandro Univ Arizona Tucson AZ 85721 USA Sapienza Univ Rome Rome Italy

ISBN: (数字)9783031774324

ISBN: (纸本)9783031774317;9783031774324

This paper presents a convex optimization approach to design a covariance control policy for an interplanetary mission of a spacecraft subject to non-Gaussian control actuation errors. The goal is to develop a closed-loop policy that minimizes the control effort and ensures that the system's final state aligns with a desired probability distribution. This is achieved by formulating an optimal covariance control problem, which is then transformed into a sequence of deterministic convex optimization problems using state-of-the-art convexification techniques. Two noise models are devised to conveniently incorporate the perturbations in an optimal control framework with low computational complexity. The first is a (conservative) additive white Gaussian noise model, while the second is a more advanced multiplicative noise model, better suited to capture the system's noise characteristics.

关键词： Stochastic Optimal control Covariance control Convex Optimization Trajectory Optimization

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PLC-based Automatic control System for Small Sewage Treatment Station 24

PLC-based Automatic Control System for Small Sewage Treatmen...

引用

2024 international conference on Image Processing, Intelligent control and computer Engineering, IPICE 2024

作者： Zhao, Qi Li, Liying Bian, Hongning Shandong Polytechnic College China Jinan Vocational College China

ISBN: (纸本)9798400710285

The efficiency of sewage treatment can be significantly enhanced through the implementation of an automatic control system. This paper focuses on the development of an automatic control system based on PLC to meet the requirements for the advanced treatment of arsenic-containing wastewater at a company’s sewage treatment facility. The paper outlines the system’s construction, control mode, hardware design, PLC programming, and control system interface. Emphasizing the unique characteristics of the sewage treatment process, such as non-linearity, significant inertia, time delays, and the challenge of establishing precise mathematical models, this paper introduces fuzzy PID control technology. This technology is utilized to enhance the stability of the sewage treatment system, particularly in the context of controlling the pH value of the wastewater. © 2024 Copyright held by the owner/author(s).

关键词： Sewage treatment plants

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2D Posture Estimation of Human Arm 9

2D Posture Estimation of Human Arm

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9th international conference on Mathematics and computers in Sciences and Industry, MCSI 2024

作者： Rosca, Sebastian Daniel Leba, Monica Sibisanu, Remus University of Petrosani Department of System Control and Computer Engineering Petrosani Romania

ISBN: (纸本)9798350377224

Human pose estimation and automatic detection is a common task in Human-computer Interaction but especially more capitalized in human-robot interaction inspired from biological form of human anatomy to realize a biomimetic control. In this sense, using human pose estimation it can be realized the whole human body posture estimation using anatomical human joints detection as inputs for specialized algorithms to calculate it based on key points obtained from a person Kinematic tree using regression, generation or part relation as models to estimate the optimal position from video or even from image. In this paper we propose a solution to estimate of 2D human arm posture of a subject using image capture as input for advanced machine learning algorithms to determine the subject joints position used to control in biomimetic manner a simulation of human like robotic arm with six degrees of freedom as a computer-aided model in Matlab-Simulink based on forward kinematics. © 2024 IEEE.

关键词： MATLAB

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Methods And Tools Of Automatic Generation Of Practical Tasks For Checking The Assimilation Of Programming Knowledge 14

Methods And Tools Of Automatic Generation Of Practical Tasks...

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14th international conference on advanced computer Information Technologies, ACIT 2024

作者： Melnyk, Andriy Hirnyak, Andriy Hirnyak, Halyna Shcherbiak, Iurii Shevchenko, Olena Nemeryshyn, Volodymyr West Ukrainian National University Department of Computer Science Ternopil Ukraine Ukrainian National University Ternopil Department of Psychology and Social Work West Ukraine Catholic University in Ruzomberok Department of Catholic Theology Ruzomberok Slovakia Socio-Cultural Activitiies Department of Information Ternopil Ukraine Odesa Polytechnic National University Information Activiti and Media Communications Department Odesa Ukraine National Academy of the National Guard of Ukraine Department of State Security Kharkiv Ukraine

ISBN: (纸本)9798350350036

The article examines the problem of formalizing the process of building and solving problems to enhance the quality of knowledge transfer and practical skills. Various approaches to addressing this issue are analyzed, with a particular focus on the automatic generation of practical problems and their solution within an applied software environment. A method for generating a set of problems and automatically solving them is proposed. The suggested method offers advantages over existing ones, a fact confirmed by experimental studies. © 2024 IEEE.

关键词： automatic generation Knowledge task test forms of control

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