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Application of a Multi Wing Chaotic System in Image Encryption 4

Application of a Multi Wing Chaotic System in Image Encrypti...

引用

4th international conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Shen, Min Wang, Yanling Li, Xiumin Zhao, Wenjing Guo, Shengjin Dai, Wenpeng Qilu Institute of Technology School of Intelligent Manufacturing and Control Engineering Jinan China Yantai University of Science and Technology School of College of Ocean Engineering Yantai China

ISBN: (纸本)9798350394375

Firstly, the dynamic characteristics of Lyapunov exponent, bifurcation diagram, power spectrum and equilibrium point stability of a class of six-wing chaotic system are analyzed theoretically and simulated numerically. The results show that the system has rich dynamic characteristics. Based on the circuit simulation software Multisim14, the experimental simulation circuit is made. The circuit is simple and easy to implement, which proves the achievability of the proposed chaotic system circuit in circuit principle, and thus verifies the chaotic dynamics capability of the chaotic system. Finally, the DNA algorithm and the new system chaotic sequence are adopted to encrypt the image, and the encrypted histogram, information entropy and the correlation of adjacent pixels are analyzed. The analysis results show that the proposed chaotic system has high security performance when applied to image encryption. © 2024 ieee.

关键词： Chaotic systems

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intelligent Navigation Decisions-Making in Curved Channels: Review and Challenges 7

Intelligent Navigation Decisions-Making in Curved Channels: ...

引用

7th ieee international conference on Transportation Information and Safety, ICTIS 2023

作者： Lan, Jiafen Zheng, Mao Wang, Zhiyuan Chu, Xiumin Wu, Hao Wuhan University of Technology School of Transportation and Logistics Engineering Wuhan China Wuhan University of Technology National Engineering Research Center for Water Transport Safety Wuhan China Minjiang University College of Physics and Electronic Information Engineering Fuzhou China

ISBN: (纸本)9798350308532

Due to the terrain and river characteristics, navigating in curved channels can be challenging. The flow is often turbulent, and ships may face difficulty in maneuvering due to centrifugal force. This increases the risk of accidents, such as collisions or grounding caused by human error. To prevent such incidents, intelligent navigation decision-making can provide timely information to the crew for efficient manipulation. This paper begins by reviewing key technologies involved in intelligent navigation decision-making, including multi-source perception, static and dynamic decision-making, and the ship motion model. After summarizing existing research results, the challenges of intelligent navigation decision-making in curved channels are analyzed, and corresponding solutions proposed. These solutions provide theoretical and technical support for the development of ship intelligent navigation control systems. © 2023 ieee.

关键词： Decision making

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An Effective Cluster Based Energy and Power Optimization Routing Protocol Design over Wireless Sensor Network Environment

An Effective Cluster Based Energy and Power Optimization Rou...

引用

2024 international conference on Innovative Computing, intelligent Communication and Smart Electrical systems, ICSES 2024

作者： Sheema, S.K. Vanathi, A. Maria Rubiston, M. Chembian, W.T. Kalaiarasi, N. Kumar, A.T.A. Kishore Qis College of Engineering and Technology Department of Cse AndhraPradesh Ongole India Rajalakshmi Institute of Technology Department of Ece Chennai India S.A. Engineering College Department of Ece Chennai India Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Cse Chennai India R.M.K. Engineering College Department of Ece Chennai India Department of Ece Andhra Pradesh Tirupati India

ISBN: (纸本)9798331543617

Environmental monitoring, industrial automation, and smart communities are among the numerous applications in which Wireless Sensor Networks (WSN) are essential. Nevertheless, the effective management of energy and power resources continues to be a substantial obstacle, as sensor nodes are frequently deployed in large quantities and are battery-powered. This paper introduces the Power Optimized Routing Protocol (PORP), a novel cluster-based routing protocol that is intended to optimize energy and power consumption in WSN. The proposed scheme's efficacy is evaluated by cross-validating it with the conventional routing protocol, Dynamic Source Routing (DSR). The dynamic clustering mechanism that has been proposed in our protocol, PORP, minimizes energy consumption through intelligent methods of cluster formation and data aggregation. In this way, it further extends the network's lifecycle and reduces its average energy usage through energy-efficient and power-aware algorithms. We evaluated the effectiveness of our protocol through comprehensive simulation and compared our protocol with existing ones regarding energy efficiency, network lifetime, and data transmission reliability. The study proved to be very in-depth and comprehensive regarding the efficiency of the protocol, which highlighted the possibilities of the protocol's implementation with real-world WSN applications to ensure proper functioning of even more sustainable and efficient wireless sensor networks. © 2024 ieee.

关键词： Energy utilization

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Large-Model and Generative-Intelligence Agricultural Robot systems∗

Large-Model and Generative-Intelligence Agricultural Robot S...

引用

2023 international Annual conference on Complex systems and intelligent Science, CSIS-IAC 2023

作者： Zhang, Zhijun Pan, An Li, Xingru Luo, Yamei School of Automation Science and Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350309003

In order to reduce the problem of excessive reliance on labor force in agriculture and achieve automated intelligent operations, a large-model and generative-intelligence agricultural robot systems (LGARS) is proposed. The structure of LGARS is composed of a perception module, a robot cooperation module, a human-computer interaction module, and a robot system center. By collecting, analyzing, and forecasting data from diverse sensors, the systems generate task and control signals for the generative intelligent agricultural robots. Subsequently, the robots coefficiently complete the assigned tasks. The unique contribution of the proposed LGARS is that the user just needs to send a superior task instruction, and all the other task planning, task generation, autonomous decisions, task decomposition and the specific operation process are conducted by the robot. It can greatly reduce labor costs, improve production efficiency and work accuracy. © 2023 ieee.

关键词： Agricultural robots

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An intelligent Cost Effective Solutions for Bus Pass System Using Internet of Things 4

An Intelligent Cost Effective Solutions for Bus Pass System ...

引用

4th international conference on Computation, automation and Knowledge Management, ICCAKM 2023

作者： Chandrakant, Shinde Piyush Ganpat, Bhor Shrevas Patankar, Nikhil S. Sanjivani College of Engineering Department of Information Technology Kopargaon India

ISBN: (纸本)9798350393248

systems of public transportation are crucial for urban mobility because they offer millions of people around the world effective options for commuting. The user experience, administrative effectiveness, and environmental sustainability of conventional paper-based bus pass systems, however, have long been problematic. The incorporation of Radio Frequency Identification (RFID) technology has emerged as a game changing remedy to these restrictions. This study investigates the RFID-Based Bus Pass System, a revolutionary method for modernizing public transit that makes use of RFID technology, NodeMCU micro controllers,and PHP web programming. Passengers no longer need physical passes or manual fare verification thanks to RFID technology, which enables users to register RFID cards online, preload them with money, and then just scan the cards at the gate. In addition, this technology offers real-time data insights to transit authorities, enabling data-driven decision-making and route optimization. The transformation potential of RFID technology in public transportation is highlighted in this research study by looking into the system's architecture, its effects on users and transit operations, as well as its scalability and sustainability elements. With the ultimate aim of developing effective, sustainable, and user-centric transportation systems for the future, the study stresses the role of technology in redefining urban transit. The potential of RFID technology to transform public transportation and dramatically improve user experiences and operational efficiency is highlighted in this research paper as a contribution to the conversation around contemporary urban transportation. © 2023 ieee.

关键词： Urban transportation

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Distributed Containment control for Second-Order Multi-Agent systems with Input Saturation 9

Distributed Containment Control for Second-Order Multi-Agent...

引用

9th international conference on control Science and systems Engineering, ICCSSE 2023

作者： He, Xingting Lu, Weifan Zou, An-Min College of Engineering Shantou University Shantou China College of Engineering Shantou University Key Laboratory of Intelligent Manufacturing Technology Ministry of Education Shantou China

ISBN: (纸本)9798350339055

This paper studies the issue of distribute containment control for second-order multi-Agent systems subject to input saturation under directed communication graphs. A distributed observer was designed to estimate desired position by requiring only the position information between neighboring agents. Combining the dynamic surface control and an affine saturation model, a distributed controller is proposed to address the input saturation for multi-Agent systems. It's proved that the followers will converge into the convex formed by dynamic leaders. Finally, the feasibility of the containment controller is verified by numerical simulations. © 2023 ieee.

关键词： Multi agent systems

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Distributed Collaborative control technology in Multiple Unmanned Aerial Vehicle Operations 5

Distributed Collaborative Control Technology in Multiple Unm...

引用

5th international conference on Robotics, intelligent control and Artificial Intelligence, RICAI 2023

作者： Zhao, Xin Zhou, Huan Aviation Engineering School Air Force Engineering University Xi'an China Aviation Engineering School Air Force Engineering University China Research Center of Unmanned System Strategy Development Northwestern Poly Technical University Xi'an China

ISBN: (纸本)9798350357950

Compared with single aircraft, multiple unmanned aerial vehicle (UAV) collaborative combat has many advantages and has been widely studied and applied. This article reviews and studies the distributed collaborative control technology in multi-UAV combat. Firstly, the background and problems to be solved in the collaborative operation of multiple unmanned aerial vehicles are elaborated. Then the advantages of distributed collaborative control over centralized collaborative control are analyzed, commonly used artificial potential field methods, consistency theory methods, behavior-based methods, and their applications are summarized, and collaborative flight strategies and implementation methods applicable to different formation systems are explored. Finally, the challenges faced by the collaborative control of UA V formations are elaborated, and prospects for future issues worth further research are presented. Exploring collaborative control methods for unmanned aerial vehicle formation flight will contribute to innovative research in this field, thereby promoting the rapid development of multi-agent collaborative control technology. © 2023 ieee.

关键词： artificial potential field Collaborative control cooperative coperation distributed control unmanned aerial vehicle

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Anomaly Detection in Battery Charging systems: A Deep Sequence Model Approach 21

Anomaly Detection in Battery Charging Systems: A Deep Sequen...

引用

21st ieee international Symposium on Parallel and Distributed Processing with Applications, 13th ieee international conference on Big Data and Cloud Computing, 16th ieee international conference on Social Computing and Networking and 13th international conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zheng, Li Ding, Donghui Li, Zhao Gao, Jun Xiao, Jie Chen, Hongyang Dustdar, Schahram Zhang, Ji The Key Laboratory of High Confidence Software Technologies Ministry of Education China Peking University School of Computer Science Beijing China Hangzhou Yugu Technology Hangzhou China East China Normal University Shanghai China Zhejiang Lab Hangzhou China Technical University of Vienna Austria University of Southern Queensland Toowoomba Australia

ISBN: (纸本)9798350329223

While the popularity of electric vehicles brings great convenience to our lives, battery charging also leads to an increase in accidents, resulting in personal injuries and economic losses. The methods currently embedded in charging hardware mainly focus on the short-term state of the battery and fail to leverage historical information effectively. The development of the Industrial Internet of Things (IIoT) enables data collection from sensors on industrial devices, which can be analyzed using deep learning methods to support sophisticated analysis. This paper proposes an intelligent and secure battery charging system in the IIoT that establishes an interaction between battery charging devices and cloud-based algorithms. A novel anomaly detection method is introduced to deal with anomalous charging sequences by making good use of historical data. We evaluate our system using real-life data from 4,940 batteries in electric vehicles, and our experiments achieve satisfactory results in detecting anomalies in battery charging. © 2023 ieee.

关键词： Charging (batteries)

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Empowering Sustainable Agriculture through IoT: Innovations for Precision Farming and Crop Monitoring 9

Empowering Sustainable Agriculture through IoT: Innovations ...

引用

9th ieee international conference on Smart Structures and systems, ICSSS 2023

作者： Ravi, Kiran Chand Mudalkar, Pralhad K. Ranga, Jarabala Raj, G. Bhupal Swapna, B. Venkatesh, D. Mlr Institute of Technology Hyderabad India Institute of Management Kolhapur India Ramachandra College of Engineering Eluru Ap India Sr University School of Agriculture Warangal India Dr Mgr Educational and Research Institute Chennai India Mohan Babu University School of Commerce and Management Tirupati India

ISBN: (纸本)9798350384208

The agricultural industry has undergone significant transformation owing to technological advancements, evolving into a data-centric and more intelligent sector. The rapid proliferation of Internet of Things (IoT) technologies has particularly revolutionized various industries, including agriculture. This profound shift has disrupted conventional farming practices while concurrently presenting new opportunities and challenges. IoT systems have made substantial contributions across multiple domains and are now prompting farmers to embrace Smart Agricultural systems for improved crop yields. Smart Agriculture leverages data aggregated from sensors and modern electronic devices to provide farmers with comprehensive field monitoring capabilities. This innovative approach enables predictive weather forecasting, automated control of pump motors, and artificial lighting activation in response to insufficient natural light levels. It also facilitates the assessment of soil moisture levels, ensuring optimal irrigation practices. Additionally, infrared (IR) sensors are employed to detect both pests and humans based on their body temperature. These sensors interface with the processing module Arduino-UNO, empowering farmers with valuable insights and control. One of the significant advantages of Smart Agriculture is its remote operability, enabled by networking technology. This means that farmers can manage and monitor their agricultural systems from virtually anywhere, enhancing convenience and efficiency in agricultural practices. This shift toward data-driven, intelligent farming practices not only enhances crop yields but also contributes to more sustainable and resource-efficient agriculture in an increasingly interconnected world. © 2023 ieee.

关键词： Internet of things

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Multi-task Collaborative Perception Algorithm Based on Consensus Perception

Multi-task Collaborative Perception Algorithm Based on Conse...

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2024 ieee international conference on Unmanned systems, ICUS 2024

作者： Luo, Fuyu Yu, Yunbo Guo, Xiaoye Systems Engineering Research Institute China State Shipbuilding Corporation Beijing China Department of Computer Science Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350384185

This Multi-agent collaborative perception is a hot topic in the current field of machine learning. Through communication and sharing of perceived scene information between agents, this approach can tackle issues such as occlusion and sparse observations present in single-agent observations. Existing studies have shown that localization errors are a significant factor affecting the accuracy of perception results. Furthermore, most prior work has focused solely on the performance of algorithms in individual tasks without considering multi-task scenarios. In this paper, a multitask collaborative perception method based on consensus perception is proposed. It integrates local perception information from each intelligent agent to form a global perception consensus, which is then used to correct the spatial feature maps of the agents, alleviating the impact of localization errors on perception results. Additionally, the use of a feature selection module based on spatial confidence maps and a multi-scale attention feature fusion module optimizes the performance of the collaborative perception process. By setting up multiple decoders in parallel, a single model is able to handle diverse tasks. Experimental results demonstrate that the proposed consensus-based collaborative perception method effectively mitigates the negative impact of localization errors on perception performance, and the algorithm can achieve good perception results across multiple tasks. © 2024 ieee.

关键词： Feature Selection

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