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检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47494 条记录，以下是61-70 订阅

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control of One-arm Robot Based on RBF Neural Network Model 5

Control of One-arm Robot Based on RBF Neural Network Model

引用

5th international conference on computer engineering and Application (ICCEA)

作者： Dou, Qinqin Maan Shan Univ Sch Intelligent Engn Maanshan Peoples R China

ISBN: (纸本)9798350386783;9798350386776

A method which is controlling of single arm robot is proposed that accorded to RBF neural network *** neural network,who is named radial basis function, that has input layer, hidden layer,output layer,and it is a feedforward layer who has a single hidden layer. It is nonlinear that the input set mapped to the output set, but it is linear that the hidden layer space mapped to the output space. Because the RBF network whose action function is Gaussian basis function, its output is related to some modulation parameters. In the input space who is limited, it is not zero, and it is a neural network method who has local approximation. Therefore, RBF network can learn quickly and avoid local minimal problems, and the real-time requirements of control can be satisfy. Through establishing the Simulink control system simulation of the relevant model and the discrete digital simulation of M fuction, the control method which used RBF neural network model is very accurate and real-time, and the control effect is very good.

关键词： RBF neural network simulink control system

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MLCAC: Dynamic Authorization and intelligent Decision-making towards Insider Threats 27

MLCAC: Dynamic Authorization and Intelligent Decision-making...

引用

27th international conference on computer Supported Cooperative Work in Design (CSCWD)

作者： Xiao, Lifang Yu, Aimin Wang, Hanyu Zhao, Lixin Meng, Dan Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (纸本)9798350349184;9798350349191

Nowadays, the situation of data security is ever-increasing severity, however, the most damaging security threats do not originate from malicious outsiders but from malfeasant and negligent insiders. Generally, insider threats are prone to cause incalculable losses and serious issues due to that the insiders have the authority to access sensitive information. Therefore, how to effectively prevent and respond to insider threats is a significant challenge. Undoubtedly, the key to defending against insider threats is restricting access permissions and optimizing access control policies in real-time. To enhance data security, we propose MLCAC, a multi-layered collaborative access control model, which focuses on protecting sensitive data. A key insight is the design of a decentralized optimization for domain and authority. MLCAC prohibits unauthorized behavior and continuously monitors access logs which are analyzed by using the co-occurrence matrix to make intelligent decisions and dynamically adjust the access control policy in real time. In experiments, we collected 12574 access logs about 1753 system software and analyzed the correlation between software by using the co-occurrence matrix algorithm, including 824 groups co-occurring software of which the highest frequency is 12. The experiments indicate that the accuracy of the policy generated by intelligent decision-making is 89.55%. Therefore, the algorithm is significantly efficient for intelligent decision-making, which is the foundation of automatically generating policies and dynamic authorization.

关键词： dynamic authorization insider threats intelligent decision-making co-occurrence matrix access control model

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Voice Bluetooth control Car 5

Voice Bluetooth Control Car

引用

5th international conference on computer engineering and intelligent control, ICCEIC 2024

作者： Chen, Zhiwen Chen, Chuixin School of Electrical Engineering China University of Mining and Technology Xuzhou China School of Intelligent Manufacturing and Electrical Engineering Guangzhou Institute of Science and Technology Guangzhou China

ISBN: (纸本)9798331507992

With the continuous development of technology, speech recognition and control are becoming increasingly important. The user sends a voice signal, and the system recognizes it, extracts valid commands from the voice, and transmits the commands to the car via Bluetooth. After recognizing the command, the car completes functions such as starting, forward, backward, left turn, right turn, acceleration, deceleration, stop, turning on lights, turning off lights, and automatic obstacle avoidance. The system can also pair with the Bluetooth on the car through a mobile phone and Bluetooth to control the car. For the convenience of information display, the car is equipped with LCD 12864 and ultrasonic distance sensor, which can avoid obstacles during movement. This system has a good reference value for the development of smart homes, industrial automation, robot assisted rescue, etc. © 2024 IEEE.

关键词： Bluetooth

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intelligent control algorithms for industrial automation systems

Intelligent control algorithms for industrial automation sys...

引用

2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Sarathkumar, D. Anil, A.R. Sivadasan, J. Jayakumar, T. Manivel, Murugesan Anandhakumar, C. Engineering Kongu Engineering College Department of Electrical and Electronics Tamil Nadu 638 060 India Sree Buddha College of Engineering Pattoor Department of Computer Science &engineering Kerala Alappuzha India Psr Engineering College Department of Electronics and Communication Engineering Tamil Nadu Sivakasi626140 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, genetic algorithms, and model predictive control, has revolutionized traditional automation systems, enabling more adaptive, efficient, and robust operations. This paper explores the application and impact of these intelligent control techniques in industrial settings. It highlights how machine learning algorithms can predict equipment failures, optimize processes, and enhance decision-making in real-time. Case studies are presented to illustrate the benefits and challenges of deploying these algorithms across various automated systems, such as robotic assembly lines, process control in chemical plants, and smart warehousing. Furthermore, the paper discusses the integration of these algorithms with industrial IoT (IIoT) platforms, facilitating seamless communication and data exchange between machines and control systems. The research also addresses the challenges of implementing intelligent control, such as computational complexity, security concerns, and the need for real-time processing. Finally, this study evaluates future trends, emphasizing the potential of combining artificial intelligence and deep learning techniques with industrial automation for a more adaptive and autonomous manufacturing ecosystem. © 2025 IEEE.

关键词： Genetic algorithms

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intelligent Car Following System Based on MSP432 6

Intelligent Car Following System Based on MSP432

引用

6th international conference on intelligent Traffic and Transportation (ICITT) / 6th international conference on Communication and Network Technology (ICCNT)

作者： Lou, Xinyi Southwest Univ Nationalities Elect Informat Engn Chengdu 610059 Sichuan Peoples R China

ISBN: (纸本)9781643683850

This design is based on MSP432 single chip microcomputer as the core, combined with visual recognition technology, through the speed closed loop to control the intelligent car, and realize the dual car to follow and overtake on the predetermined track. In this design, MSP432P401Y is selected as the main control, and the identification information is sent to the master control through the serial port, so as to enter the corresponding road and prevent the car from deviating from the predetermined track;The leading car and the following car communicate with each other through Bluetooth module to achieve the goa of two vehicle collaborative transportation;Through the feedback information of the motor encoder, the speed closed-loop control system of the trolley is designed through the feedback information of the motor encoder to realize the precise control of the transportation distance. After detection, this design has the advantages of fast identification speed, high accuracy, stable transportation and high efficiency.

关键词： PID speed closed loop tracing image recognition wireless communication

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Enhancing Text Quality with Bi-LSTM: An Approach for Automated Spelling and Grammar Correction

Enhancing Text Quality with Bi-LSTM: An Approach for Automat...

引用

2024 international conference on advances in Data engineering and intelligent Computing Systems, ADICS 2024

作者： Lokhande, Hrushikesh A. Kinage, Lalit J. Kolunkar, Prerana M. Salunkhe, Janhvi Mahendra Kale, Shubhangi School Of Computer Engineering Mit Academy Of Engineering Pune Maharashtra Alandi412105 India

ISBN: (纸本)9798350364828

Spell checkers are crucial in various fields, ensuring error-free documents and clear communication. Many applications use traditional approaches, like Google and Microsoft Word. A unique model using Deep Learning for spell and grammar checkers uses Bi-LSTM for error detection and Bi-LSTM for error correction. Auto spelling and grammar correction tools are essential in today's world, providing a faster, reliable alternative to manual proofreading, enhanced productivity, improved language proficiency, and increased confidence in written communication. They cater to diverse language needs and contribute to the quality and professionalism of written content. © 2024 IEEE.

关键词： Error correction

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Cost Optimization of Cloud Services through Automated Analytics and Resource Allocation 15

Cost Optimization of Cloud Services through Automated Analyt...

引用

15th international conference on advances in Computing, control, and Telecommunication Technologies, ACT 2024

作者： Shende, Mukesh Sevak Chandak, Manoj B. Department of Computer Science & Engineering Shri Ramdeobaba College of Engineering and Management Nagpur India

ISBN: (纸本)9798331300579

Cloud computing offers scalable and cost-effective access to computing resources, necessitating meticulous cost optimization. This project introduces an automated system for cloud cost optimization, amalgamating pricing analysis, service metrics, and resource utilization assessment. It encompasses an administrative portal for provider analysis and resource monitoring, alongside analytics modules tracking availability, latency, scalability, and pricing competitiveness. Leveraging REST APIs, machine learning, and tools like Terraform and Ansible, the system proposes cost-effective provider and instance allocations based on real-time and forecasted needs. Administrators can define allocation policies and scaling thresholds for automated adjustments. The system culminates in an intelligent software agent adept at efficiently administering cloud resources, minimizing costs while meeting application demands. It exemplifies the application of analytics, automation, and AI to continually optimize dynamic cloud infrastructure, surpassing manual or reactive approaches. © Grenze Scientific Society, 2024.

关键词： Cloud analytics

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Linkdb-TCP: A Congestion control Technique For MANET Based On Link Layer Measurements 1

Linkdb-TCP: A Congestion Control Technique For MANET Based O...

引用

1st IEEE international conference on advances in Electronics, Communication, Computing and intelligent Information Systems, ICAECIS 2023

作者： Sreenivasa, B.C. Bhanu Prakash, G.C. Sir M Visvesvaraya Institute of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350348057

Detection and control of congestion in Mobile ad-hoc networks (MANET) is a challenging task. Congestion hurts performance and reduces the throughput of the system. Thus it is imperative to avoid or control congestion in the network. Congestion control algorithms provided by the Transmission control Protocol (TCP) is specially designed for wired communication and performs poorly in the case of ad-hoc networks. This paper presents a Link-Layer Congestion control algorithm for MANETs, which detects congestion in the network by carrying out an end-to-end analysis. The congestion window is appropriately modified if congestion persists in the system. The new congestion window is communicated to the sender, and its behavior is altered accordingly. The algorithm can be seamlessly incorporated into TCP for practical use © 2023 IEEE.

关键词： Transmission control protocol

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Research on optimization of heat supply system of heat exchanger station based on fuzzy PID control 5

Research on optimization of heat supply system of heat excha...

引用

5th international conference on computer engineering and Application (ICCEA)

作者： Chen, Leiming Qin, Ruoxiao Wang, Zizhen Fan, Junyi China Univ Petr Beijing Karamay Karamay Xinjiang Peoples R China

ISBN: (纸本)9798350386783;9798350386776

This research paper proposes a fuzzy PID control based optimization method for heat exchange station heating system, which aims to solve many challenges faced by the current heating system, such as high energy consumption, uneven heating and slow system response. By introducing fuzzy logic control, the study optimizes the conventional PID control algorithm to increase the system response speed, stability and energy utilization efficiency. This study firstly analyses the working mechanism of the heating system of the heat exchanger station, then constructs the mathematical model of the plate heat exchanger control system, and describes in detail the control rules and structure of the fuzzy control algorithm. Simulation experiments are carried out through MATLAB/Simulink and it is concluded that the control algorithm has significant advantages in terms of improved response speed, enhanced stability and improved energy utilisation efficiency. In conclusion, this thesis not only provides an effective technical way for the improvement of the performance of heat exchange station heating system, but also contributes valuable theoretical and practical experience to the research and development of intelligent heating system.

关键词： fuzzy PID control heat exchange station heating system optimization plate heat exchanger energy use efficiency

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Design Process and Development of Automation for Smart Buildings 1

Design Process and Development of Automation for Smart Build...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Sethi, Gunjan Khurana, Deepika Verma, Monika Pant, Surmadhur Chauhan, Priyanka Bhatt, Bhaskar Department of Computer Science and Engineering Delhi Technical Campus Uttar Pradesh Greater Noida India IIMT College of Engineering Department of Computer Science and Engineering Uttar Pradesh Greater Noida India Shivalik College of Engineering Department of ECE Dehradun India Uttaranchal Institute of Technology Uttaranchal University Dehradun248007 India Bipin Tripathi Kumaon Institute of Technology Department of Mechanical Engineering Dwarahat Almora India

ISBN: (纸本)9798331518578

In order to create spaces that are secure, cozy, energy-efficient, and visually beautiful, smart buildings are becoming more and more sophisticated cyber-physical systems. However, as functional complexity, financial concerns, and market demands increase, traditional design methodologies are becoming less effective. Current framework's plan and activity have been totally changed by the presentation of automated smart building, which ensures expanded security, better inhabitant solace, and energy effectiveness. With an emphasis on MATLAB-based reproductions, this study offers a careful assessment of the plan interaction and improvement procedures for computerizing savvy structures. The study delineates how MATLAB makes it simpler to depict, reproduce, and investigate savvy building frameworks with certainty. Through the mix of numerous advancements, like sensors, regulators, and correspondence conventions, the research shows the turn of events and check of a mechanized smart building framework. The intelligent building's building automation system prioritizes a humanized interface and uses a combination of mechanical, electrical, and fire control systems, access control systems, and parking management systems to give building occupants a convenient and comfortable place to live and work. The discoveries show prominent additions in functional viability, natural adaptability, and energy utilization. The conventional heuristic and ad hoc design paradigms are becoming ineffective and inadequate for the future due to cost, the requirement to handle growing functional complexity, adaptability, supply chain fragmentation, and time-to-market pressure. © 2025 IEEE.

关键词： Smart homes

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