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Application and optimization of adaptive control algorithm in optical communication 5

Application and optimization of adaptive control algorithm i...

引用

5th international conference on Telecommunications, Optics, and Computer Science, TOCS 2024

作者： Zhang, Zhihao School of Electrical Automation and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9781510691667

In the context of rapidly evolving communication technologies, there is an urgent need for dynamic systems capable of adapting to fluctuating environmental conditions to ensure reliable signal transmission. This article delves into the application and optimization of adaptive control algorithms in optical communication systems, which are pivotal for adjusting system parameters in real-time. We introduce the fundamentals of optical communication and adaptive control algorithms, then proceed to analyze their critical roles in channel equalization, pattern recognition, and signal recovery. Our methodology encompasses a detailed analysis of algorithm performance through experimental setups, parameter adjustments, and structural optimizations. Key findings indicate significant improvements in signal quality and data transmission reliability, particularly through the optimization of algorithm parameters and the fusion of different adaptive control techniques. Ultimately, our research concludes that adaptive control algorithms are indispensable for enhancing the performance and reliability of optical communication systems, offering a robust framework for future technological advancements in this field. © 2025 SPIE.

关键词： Self adjusting control systems

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Research on Application Performance Analysis Methods for Scientific computing 24

Research on Application Performance Analysis Methods for Sci...

引用

4th international conference on Artificial Intelligence, automation and High Performance computing, AIAHPC 2024

作者： Yang, Chen Zhang, Jing Xie, Xiguo Sun, Jianpeng Information Science and Technology Academy Zhengzhou University China Co. Ltd China

ISBN: (纸本)9798400710049

Parallel computing has been widely used in various fields, which significantly improves application performance, but the actual performance obtained by applications usually has a significant gap with the peak performance of the machine, and the use of performance analysis tools for program tuning is an efficient means to solve this problem. This paper proposes a general approach to performance analysis of parallel programs, applicable to applications in the fields of materials science, meteorology, chemistry, etc., with the aim of helping programmers to gain insights into the performance characteristics and potential problems of their programs. The methodology involves three performance analysis tools, which provide comprehensive performance analysis of the application at three levels: microarchitecture, MPI communication and hotspot functions. The performance monitoring tool Clusmon is used to monitor the runtime characteristics and system resource utilisation of the program, the MPI communication analysis tools TAU and MPI Toolkit capture the MPI function operation of the program at runtime, and the Intel VTune’s hotspot analysis feature helps locate the hotspot functions of a program. We apply them to the PWscf module of Quantum ESPRESSO and propose optimisation strategies for the program at the compile level and runtime level based on the performance analysis results, and conduct performance comparison experiments. The experimental results show that the optimisation performed for the performance analysis results in a significant reduction of the running time of the hotspot function and an improvement of the communication pattern of the program. © 2024 Copyright held by the owner/author(s).

关键词： Program debugging

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Automating Weed Detection Through Hyper Spectral Image Analysis

Automating Weed Detection Through Hyper Spectral Image Analy...

引用

2024 international conference on Optimization computing and Wireless communication, ICOCWC 2024

作者： Bharadwaj, Shambhu Prabhu, A. Solanki, Vipin Teetthanker Mahaveer University Department of Computing Sciences and Information Technology Uttar Pradesh Moradabad India Department of Computer Science and Information Technology Bangalore India Sanskriti University Department of Applied Science Uttar Pradesh Mathura India

ISBN: (纸本)9798350383348

Weed detection is an essential assignment in agricultural settings. Negative environmental results, crop yield loss, and mechanical weeding hard work prices related to weed management have necessitated the improvement of automation solutions to discover and treat weeds. Hyperspectral imaging (HSI) is a promising method that can produce abundant statistics about the spectral residences of flowers. This generation has been used in weed detection packages to classify weeds from crops, and these days deep mastering has been used to provide high accuracy prices in this discipline. In this abstract, we explore the utility of HSI for weed detection. We define current demanding situations that require further research earlier than automatic weed detection structures using HSI grow to be widely available. In particular, the presently available algorithms lack robustness and scalability, and further improvements in gadget-gaining knowledge of algorithms and techniques are wished to conquer those constraints, in addition to advancing the computational capabilities of these structures. Moreover, we discuss the potential of HSI as a weed detection answer in various contexts, including agroforestry and precision farming. In conclusion, we advise that the software of HSI for automatic weed detection has the massive capability to reduce labor fees related to weed manipulation, improve farming performance, and in the end, boom crop yields. Weed detection is a first-rate challenge inside the agricultural enterprise, as guide weed control is costly, time-consuming, and the correct identity of weeds is rigid. Hyper Spectral photo evaluation (HSIA) offers an alternative to guide weed detection, considering the rapid and effective mapping of weed-infested land without the need for guide labor. HSIA may be used to routinely detect the spectral signature of weed species, allowing for correct identity and brief remedy. This method uses hyperspectral scanners to gather spectral records, whic

关键词： accuracy crops harm measures promising

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Research on the Application of PLC control in Machine Tool automation Transformation

Research on the Application of PLC Control in Machine Tool A...

引用

2023 international conference on Internet of Things, Robotics and Distributed computing, ICIRDC 2023

作者： Wu, Wenbing Liu, Xun Weifang Engineering Vocational College Shandong Qingzhou262500 China

ISBN: (纸本)9798350375275

This study focuses on the application of Programmable logic control (PLC) in the automation transformation of machine tools, aiming at discussing the key role of PLC technology in improving the performance of machine tools, improving production efficiency and strengthening manufacturing flexibility. Through in-depth analysis of the case of machine tool automation transformation, this civilization has studied the practical application effect of PLC in automatic tool switching, motion control and production process optimization in detail. It is found that the introduction of PLC system can significantly improve the speed and accuracy of tool switching and reduce the downtime in the production process. At the same time, the motion control function of PLC system ensures the accuracy and stability of machine tool motion, and strongly supports the realization of high-precision machining. In addition, through real-time monitoring and feedback control, the adjustment of production process parameters by PLC system makes the production process more intelligent and adaptable. Finally, the paper discusses the limitations and future development direction of PLC in machine tool automation transformation, and puts forward the possibility of further integrating PLC with other intelligent technologies. Generally speaking, this study provides profound insights for decision makers in manufacturing industry, and provides strong theoretical support for promoting the machine tool manufacturing industry towards a more intelligent and efficient future. © 2023 IEEE.

关键词： Machine tools

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A two-layer architecture-based teleoperation method for space robots under fixed time delay 3

A two-layer architecture-based teleoperation method for spac...

引用

2024 3rd international conference on Aerospace and control Engineering, ICoACE 2024

作者： Gao, Lei Lu, Jun School of Automation and Electrical Engineering Shenyang Ligong University Shenyang110159 China

In space teleoperation systems, the dynamics of controlled robots exhibit uncertainties, and communication involves time delays. To address these challenges, this paper proposes a bilateral controller based on a two-layer architecture: the master side employs a radial basis function (RBF) neural network-based sliding mode control, while the slave side uses a model-compensated PD control. The study investigates the teleoperation of a two-degree-of-freedom space robot under fixed time delay conditions. Independent communication channels connect each layer of the master and slave sides, allowing the separation of energy exchange information and control action information. The effectiveness of the proposed teleoperation control system is verified through simulations. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Radial basis function networks

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A Review on Auto Delivery BOT 15

A Review on Auto Delivery BOT

引用

15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Vijetha, T.S. Akshay Chaitrashree, M.G. Pavan, K.H. Puthran, Pratham M. Department of Electronics and Communication Engineering India Electronics and Communication Engineering Alva's Institute of Engineering and Technology Mijar India

ISBN: (纸本)9798331300579

Autonomous delivery bots have completely transformed the logistics and transportation sectors. In the proposed project we ensure the secured delivery of the items from the warehouse to the customers location. wherein we use the modern technologies such as the gps tracking and the on site decision systems which will help the system throughout its journey from the warehouse to the delivery point. This whole process would we automated only the destination location need to be fed to the system. These automated delivery bots have a large area of application either it be medical field or the military fields or the grocery delivery etc, these bots can pave their way to the destination and complete the delivery process without human interference. © Grenze Scientific Society, 2024.

关键词： Bot (Internet)

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Knowledge Distillation from Language-Oriented to Emergent communication for Multi-Agent Remote control 59

Knowledge Distillation from Language-Oriented to Emergent Co...

引用

59th Annual IEEE international conference on communications (IEEE ICC)

作者： Kim, Yongjun Seo, Sejin Park, Jihong Bennis, Mehdi Kim, Seong-Lyun Choi, Junil Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea Deakin Univ Sch Informat Technol Geelong Vic 3218 Australia Univ Oulu Ctr Wireless Commun Oulu 90570 Finland Yonsei Univ Sch Elect & Elect Engn Seoul 03722 South Korea

ISBN: (纸本)9781728190549

In this work, we compare emergent communication (EC) built upon multi-agent deep reinforcement learning (MADRL) and language-oriented semantic communication (LSC) empowered by a pre-trained large language model (LLM) using human language. In a multi-agent remote navigation task, with multimodal input data comprising location and channel maps, it is shown that EC incurs high training cost and struggles when using multimodal data, whereas LSC yields high inference computing cost due to the LLM's large size. To address their respective bottlenecks, we propose a novel framework of language-guided EC (LEC) by guiding the EC training using LSC via knowledge distillation (KD). Simulations corroborate that LEC achieves faster travel time while avoiding areas with poor channel conditions, as well as speeding up the MADRL training convergence by up to 61.8% compared to EC.

关键词： Semantic communication (SC) language-oriented SC emergent communication large language model (LLM) knowledge distillation

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Gesture based Sign Language Recognition System 2

Gesture based Sign Language Recognition System

引用

2nd international conference on Advancements in Electrical, Electronics, communication, computing and automation, ICAECA 2023

作者： Anitha, K. Karthick, R Naveen Varsheni, K.C. Kalaiselvi, A. Department of Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (纸本)9798350306811

The use of hand gestures in sign language has been a crucial method of non-verbal communication, particularly for individuals with hearing or speech impairments. Despite numerous sign language systems developed by various developers worldwide, most of them are not flexible or cost-effective for end-users. This project proposes a hand gesture recognition system that can automatically detect sign language, allowing for more effective communication between deaf and dumb people and normal individuals. Gesture and pattern recognition are rapidly evolving fields that play a crucial role in nonverbal communication. Hand gestures have become an integral part of human's daily lives, and the Hand Gesture recognition system offers a natural and approachable way of communicating with computers, which people are more familiar with. The proposed system combines several cutting-edge technologies such as MobileNet, Xception, ResNet 101, and DenseNet 121. Among the four algorithms, DenseNet 121 achieved the highest overall accuracy, with an accuracy of 98.9%. Real-time sign language detection with text-to-speech technology and the development of a Telegram bot for sign language detection are additional features of this project. The integration of these technologies has resulted in a novel and effective method of sign language communication that can enhance the lives of individuals with hearing or speech impairments. © 2023 IEEE.

关键词： Gesture recognition

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Review Of Technics Used In Smart House 2

Review Of Technics Used In Smart House

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2nd international conference on Electrical Engineering and Automatic control (ICEEAC)

作者： Kertous, Meroua Zerroug, Abdellah Zerroug, Nadjet Setif 1 Univ Ferhat Abbas Elect Engn Dept QUERE Lab Setif Algeria

ISBN: (纸本)9798350349740;9798350349757

This paper provides an overview of the principles of smart home technology. Smart home systems are artificial intelligence-based devices that can be integrated into buildings to make them intelligent. These systems rely on computing power to collect data from sensors and analyze it to understand resident behavior and events. They then respond by controlling various mechanisms within the home. These systems are typically connected to a cloud implementation entity responsible for data processing, distribution, and storage. communication between smart home devices is facilitated through machine-to-machine (M2M) and Internet of Things (IoT) technologies. Different wireless protocols such as Zigbee, Z-Wave, Wi-Fi, X10, and INSTEON are used for home automation, each with its own advantages and limitations. Sensors play a crucial role in smart homes, collecting data to create an Internet of Things environment. Smart homes also have applications in elderly care, where sensors are used for human detection and activity classification. The integration of artificial intelligence and sensors enables home health care systems, which can detect health problems and notify medical teams when necessary. Energy management systems are another important aspect of smart homes, optimizing energy consumption, storage, and generation to increase efficiency. These systems can monitor energy usage, generate reports, and respond to power outages by leveraging rechargeable batteries and electric vehicle batteries. Overall, smart home technology offers numerous benefits in terms of convenience, safety, and energy efficiency.

关键词： smart house zigbee Wi-Fi X10 Equipment automatic control

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Design of Autonomous Robotic Vehicle Integrated With Obstacle Avoidance Facility and Wireless Connectivity

Design of Autonomous Robotic Vehicle Integrated With Obstacl...

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2025 international conference on Computer, Electrical and communication Engineering, ICCECE 2025

作者： Thakur, Arunava Kabiraj Mandal, Supantha Das, Prodipta Choudhury, Uttam Techno Main Salt Lake Department of Electrical Engineering Kolkata India Techno India University Department of Electronics and Communication Engineering Kolkata India

ISBN: (纸本)9798331513894

This research article presents the architecture and implementation of an autonomous vehicle which is capable of following a particular lane and also avoiding obstacles. By incorporating different types of sensors, including infrared sensors for line detection and an ultrasonic sensor for distance measurement, the vehicle navigates its movement effectively. This mechanism consists of an Arduino based microcontroller which processes sensor inputs to execute movement commands, such as forward, turn left, and turn right. A servo motor is employed to periodically scan the surroundings for obstacles, allowing the vehicle to adapt its path in real-time. The system integrates motor drivers to control the vehicle's motion, ensuring precise maneuverability. Experimental results demonstrate the vehicle's ability to follow a designated path while efficiently avoiding obstacles, showcasing its potential applications in robotics and automation fields. This project emphasizes the importance of sensor integration and control algorithms in developing autonomous vehicle systems. © 2025 IEEE.

关键词： Ultrasonic sensors

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