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Research on College English Intelligent Test System Based on computer Artificial Intelligence Technology

Research on College English Intelligent Test System Based on...

引用

2023 IEEE international conference on Electrical, automation and computer engineering, ICEACE 2023

作者： Zheng, Rui Eurasia University Shaanxi Xi'an China

ISBN: (纸本)9798350309614

An English parsing test system is developed. The system consists of five main basic functional modules: syntactic content publishing, syntactic content management, data analysis, audio and video management, and system management. This paper analyzes the overall design, architecture design and the design idea of each function module of the mobile phone grammar system. This paper describes the software development process and main design ideas of Android mobile platform. Compared with traditional teaching methods, this platform has certain advantages, which can stimulate the enthusiasm of students to improve their learning effect to some extent, and can make use of big data analysis to find out the gaps and make up for the weaknesses of students. © 2023 IEEE.

关键词： artificial intelligence college English computer intelligent test system

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Behavioral Simulation of Relative Timed Asynchronous Circuits 32

Behavioral Simulation of Relative Timed Asynchronous Circuit...

引用

32nd IFIP/IEEE international conference on Very Large Scale Integration, VLSI-SoC 2024

作者： Kolluru, Sumanth Stevens, Kenneth S. University of Utah Electrical and Computer Engineering United States

ISBN: (纸本)9798331539672

Relative Timed design represents timing constraints in an integrated circuit as mathematical equations. This differs from current state of the art integrated circuit design methodologies and electronic design automation tools which employ a finite state machine methodology by using a clock to implement circuit timing. This paper presents a behavioral model for relative timing constraints that enables simulation and evaluation of relative timed circuits written in behavioral Verilog. The model enables the source behavioral Verilog to be directly synthesized into relative timed circuits. The model provides support for rapid design exploration, architectural timing experiments, design validation, and multi-mode behavioral and structural simulations. Experiments show a 50 x speedup over current Verilog designs that require a structural implementation. © 2024 IEEE.

关键词： Electronic design automation

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Annotating SLAM data sets with Apriltag markers 10

Annotating SLAM data sets with Apriltag markers

引用

10th international conference on automation, Robotics, and Applications, ICARA 2024

作者： Racinskis, Peteris Arents, Janis Greitans, Modris Institute of Electronics and Computer Science Latvia

ISBN: (纸本)9798350394245

This paper motivates and describes a methodology for annotating SLAM benchmark data sets where GPS or motion capture equipment is not viable. Ground truth camera pose measurements are obtained at the camera frame rate using surveyed Apriltag2 visual markers. The design of the marker plates, procedures for placing and positioning them, as well as the procedures for sensor track collection, are described. An estimate of the measurement accuracy is obtained by comparison with the Optitrack motion capture system, and the advantage over RTK-corrected GPS as a ground truth pose measurement source in certain environmental conditions is demonstrated experimentally. © 2024 IEEE.

关键词： Cameras

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A Comprehensive Analysis of Applications in Internet of Things Networks in 5G and 6G 2

A Comprehensive Analysis of Applications in Internet of Thin...

引用

2nd international conference on computer, Communication and Control, IC4 2024

作者： Rawat, Bhupender Singh Srivastava, Animesh Shrivastava, Vivek Singh, Gulbir Garg, Navin Coer University College of Smart Computing Roorkee India Graphic Era Hill University Department of Computer Science & Engineering Dehradun India Mmict&bm Haryana Ambala India Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350387933

This paper survey explores the 5G and 6G IoT networks in wireless networks, focusing on their applications in various domains such as healthcare, smart cities, agriculture, industrial automation, transportation, and environmental monitoring. The study provides a comprehensive description of the mutually beneficial association between IoT and 5G/6G networks, highlighting how the integration of IoT with 5G technology can enhance network performance and address *** goal of this survey is to help readers gain a firmer grasp of the technical state of 5G IoT, as well as the milestones and key performance indicators that will need to be achieved to bring in 6G IoT. © 2024 IEEE.

关键词： 5G mobile communication systems

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Deploying Reinforcement Learning Approaches for Smart Home automation 15

Deploying Reinforcement Learning Approaches for Smart Home A...

引用

15th international conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Sen, Amit Prakash Goyal, Manish Kumar Shalini Arka Jain University Department of Electrical & Electronics Engineering Jharkhand Jamshedpur India Vivekananda Global University Department of Computer Science & Application Jaipur India Department of Management School of Mangement - Pg Karnataka Bangalore India

ISBN: (纸本)9798350370249

Reinforcement mastering is an area of synthetic intelligence that enables machines to adopt actions that optimize their environment or maximize a pre-defined reward. This paper investigates the potential makes use of reinforcement studying for clever domestic automation. Some of distinctive algorithms had been advanced that leverage reinforcement getting to know strategies for clever houses. The paper discusses the advantages of using reinforcement learning for optimizing electricity consumption, increasing comfort, and presenting protection as well as the potential challenges of such deployment. The paper also evaluations several present reinforcement studying-based totally methods applicable for smart domestic automation and highlights ability studies possibilities to address present methodological gaps in an effort to enable the reliable deployment of reinforcement getting to know for clever domestic automation. © 2024 IEEE.

关键词： Deployment Distinctive Domestic Methodological Potential Protection Reinforcement

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Analysis of Electrical automation Transformation Model Based on Matra Offset Algorithm

Analysis of Electrical Automation Transformation Model Based...

引用

2024 international conference on Power, Electrical engineering, Electronics and Control, PEEEC 2024

作者： Tang, Shanshan Anhui Vocational and Technical College Anhui Hefei230011 China

ISBN: (纸本)9798350378917

In this paper, the common problems of electrical engineering under automation environment are systematically analyzed, and some new solutions are put forward. First of all, this paper reviews the research status of this field both at home and abroad. Secondly, this paper introduces the application of Matra displacement model in the field of power system in detail, and summarizes the views of domestic and foreign experts on the development process and characteristics of this technology research. Then, starting from the theoretical basis and basic concepts, this paper expounds the important role of software in the modeling of computer simulation system and analyzes the impact on the system. Finally, the transformation of electrical automation is realized by MATLAB, and the corresponding results are given. The test results show that the static deviation data range is 0.084-0.096, while the dynamic deviation data range is 0.089-0.097;communication compatibility is as high as {1 0 0%} and as low as 96%. © 2024 IEEE.

关键词： MATLAB

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Intelligent Control Systems for Industrial automation and Robotics 10

Intelligent Control Systems for Industrial Automation and Ro...

引用

10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and computer engineering, UPCON 2023

作者： Biradar, Vijaykumar S. Al-Jiboory, Ali Khudhair Sahu, Gaurav Tilak Babu, S.B.G. Mahender, Kommabatla Natrayan, L. N B NavaleSinhgad College of Engineering Department of Electrical Engineering Maharashtra Solapur413255 India University of Diyala Department of Mechanical Engineering Baqubah Iraq B K Birla Institute of Engineering & Technology Department of Electronics& Communication Engineering Rajasthan Pilani India Aditya Engineering College Department of ECE Surampalem India Sumathi Reddy Institute of Technology for Women Department of ECE Telangana India Saveetha School of Engineering Simats Department of Mechanical Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350382471

Intelligent control systems are a game-changer for robotics and industrial automation. This abstract explores how computer vision (CV) and artificial neural network (ANN) algorithms may be used to improve automation and robotics in terms of efficiency, accuracy, and flexibility. The goal of industrial automation is to streamline processes, decrease the need for human interaction, and increase output, all of which have progressed dramatically over the years. Integrating intelligent control systems that make use of computer vision and artificial neural networks is crucial to this transformation. The ability of these systems to detect and understand their environments is made possible by computer vision (CV). In order to make sound judgements, CV algorithms analyse data captured by cameras and other sensors. CV lets robots recognise things, navigate hazardous terrain, and carry out precise industrial tasks. CV has become an integral part of industrial automation, used for anything from monitoring production quality to navigating warehouses autonomously. Artificial neural networks (ANN s) mimic the human brain in many ways, including their ability to learn and make decisions on their own. ANNs are built from networks of nodes (neurons) that work together to analyse and process information. ANN s may learn to identify patterns, refine their control settings, and adjust to new circumstances. Predictive maintenance, problem identification, and control strategy optimisation are just some of the ways in which ANN s are put to use in industrial automation and robotics. Combining CV with ANN algorithms makes for a formidable tool with many practical uses in industry. The automated examination of produced goods is one significant use. Cracks and imperfections are easy targets for CVs, while ANNs can analyse the data in real time to make judgements about the product's quality. As a result, we can maintain constant quality control, cut down on waste, and boost output. Combining C

关键词： Artificial Neural Networks (ANN) computer Vision (CV) etc Industrial automation Intelligent Control Systems Robotics

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Consensus Control and Disturbance Rejection for Leader-Following Multi-Agent Systems Based on Reduced-Order Observers 13

Consensus Control and Disturbance Rejection for Leader-Follo...

引用

13th IEEE international conference on CYBER Technology in automation, Control, and Intelligent Systems, CYBER 2023

作者： Pang, Guochen Xiao, Xiong Chen, Xiangyong Lu, Yang Qiu, Jianlong Liu, Yang School of Automation and Electrical Engineering Linyi University Linyi China College of Mathematics and Computer Science Zhejiang Normal University Jinhua China School of Computer Science and Engineering Linyi University Linyi China

ISBN: (纸本)9798350315196

The focus of this paper is on the issue of disturbance rejection in leader-follower multi-agent systems based on a reduced-order observer. By combining with the practical, unknown perturbations are considered to be generated by the external system by designing a reduced-order estimation observer to obtain an estimate of the disturbances in the followers. Second, a control protocol is designed for each follower based on the obtained estimates. The design method of the reduced-order observer used in this paper simplifies the state equations of the reduced-order observer by reducing the order compared to the full-order observer, which is simpler to compute and can also effectively suppress the effects of disturbances. Finally, the feasibility of this scheme is verified by numerical examples. © 2023 IEEE.

关键词： Disturbance rejection

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A Design of Longitudinal and Lateral Controllers for Autonomous Driving System in Carla Simulator 9

A Design of Longitudinal and Lateral Controllers for Autonom...

引用

9th international conference on Robotics and automation engineering, ICRAE 2024

作者： Wei, Fengchen Wang, Weiji Liu, Hanwen University of Sussex Dept. Engineering and Design Brighton United Kingdom University of Sussex Spru Brighton United Kingdom

ISBN: (纸本)9798331518301

Research on the design of autonomous vehicle controllers has always been the focus and difficulty in the field of autonomous driving. However, with the rapid development of artificial intelligence technology and the continuous revolutionary achievements in natural language processing and computer vision, more and more autonomous driving researchers have focused their research on the perception field of autonomous vehicles and ignored the research on controllers. Even if there are some studies on controllers, they only focus on lateral control or longitudinal control, and there are few comprehensive considerations of lateral and longitudinal vehicle controller designs. Our work makes up for this deficiency. First, we selected different controller designs for the vehicle's lateral and longitudinal control, respectively, and conducted hundreds of simulation experiments under the same scenario, speed, and trajectory planning algorithm to obtain lateral and longitudinal controller design solutions suitable for specific scenarios;second, we compared different autonomous driving simulation platforms and finally chose Carla as our simulation platform. © 2024 IEEE.

关键词： Automobile simulators

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Driving into the Future: Artificial Intelligence based Traffic Sign Recognition using Learning Assisted OCR Principle

Driving into the Future: Artificial Intelligence based Traff...

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2024 IEEE international conference on automation and Computation, AUTOCOM 2024

作者： Kirubakaran, D. Lakshmisridevi, S. Ramal, P. Janaki Rajeswari, M. Rani, A. Jaya Mabel Pandi, V.Samuthira R.M.K Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Bs Abdur Rahman Crescent Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350382723

Managing the inventory of traffic signs relies heavily on automatic detection and recognition. It offers a precise and quick method of managing traffic-sign inventory with little human intervention. The detection and identification of traffic signs is an issue that has received a lot of attention from the computer vision field. The traffic signs required for sophisticated driver-assistance and self-driving vehicles are well-served by most current methods. But it's just a fraction of all roadway markings (approximate 40-50 kinds among hundreds), and how well it will work with the rest of the traffic signs - the ones that need to be automated so that traffic-sign inventory management doesn't require any human intervention - is still up in the air. The goal of this work is to automate the process of managing traffic signs' inventory by addressing the challenge of detecting and recognizing a large number of sign classifications. This study introduces a new approach called Learning Assisted OCR Principle (LAOCRP). To assess its performance, it is cross-validated with the traditional model called Generic OCR (GOCR). The outcomes are shared for extremely difficult traffic-sign classes that have not been addressed in prior research. Our thorough evaluation of the deep learning method for traffic sign detection with high intra-category appearance variation yields lower error rates in comparison to the state-of-the-art methods, making them suitable for use in real-world traffic sign inventory management applications. © 2024 IEEE.

关键词： Traffic signs

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