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A Data-driven Visualization Platform for Sailing Robots

A Data-driven Visualization Platform for Sailing Robots

引用

2023 IEEE international conference on Real-Time Computing and robotics, RCAR 2023

作者： Zhang, Na Lin, Shuyi Sun, Qinbo Qi, Weimin Qian, Huihuan The Chinese University of HongKong School of Science and Engineering Shenzhen China The Chinese University of HongKong Shenzhen Institute of Artificial Intelligent and Robotics for Society Shenzhen China

ISBN: (纸本)9798350327182

This research aims to develop a visualization platform for sailing robots using Unreal Engine 5. This platform can provide valuable insights and analysis by simulating the sailing of real sailboats in a virtual environment. To achieve this, we utilize Blender to model and Unreal Engine 5 to create realistic ocean scenes with simulations of natural wind and waves. The motion state of the OceanVoy460, collected from its sensors, was imported into the blueprint via the Data Table plugin in Unreal Engine 5 to control the sailboat. The platform also enables the export of the simulated sailing information for comparison with actual data to test the accuracy of the visualization. In conclusion, we have successfully developed a data-driven visualization platform for sailing robots, utilized real-world data to conduct experiments, and verified the platform's reliability. © 2023 IEEE.

关键词： Engines

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Design and Analysis of an All-terrain Robotic Rover for Planetary Lava Tube Exploration 8

Design and Analysis of an All-terrain Robotic Rover for Plan...

引用

8th IEEE international conference on Advanced robotics and Mechatronics, ICARM 2023

作者： Zeng, Hao Huo, Keyan Hong, Yilun Zhao, Haifeng University of Chinese Academy of Sciences Center for Space Utilization Chinese Academy of Sciences Key Laboratory of Space Utilization Technology and Engineering Beijing China Center for Space Utilization Chinese Academy of Sciences Key Laboratory of Space Utilization Technology and Engineering Beijing China

ISBN: (纸本)9798350300178

Planetary lava tubes are valuable for the extraterrestrial exploration due to its intriguing subsurface spaces for resource deposition and human habitation. However, the terrain and thermal environments inside the lava tube are unclear and complex. Therefore, the robotic rover with a good terrain traversability is the first choice to conduct the pioneering survey. An all-terrain robotic rover with a novel six-wheel suspension system is proposed in this study. The maximum obstacle crossing height is analyzed and the numerical simulation is conducted for the stability analysis. It shows this robotic rover has an excellent environmental adaptability to both structured and unstructured terrain through the investigation of simulation and experiment. Overall, this study provides a good reference to develop the robotic rover for the space exploration on the Moon or Mars. © 2023 IEEE.

关键词： Rovers

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Assessing the Applicability of Adversarial Machine Learning Approaches for Cybersecurity 2

Assessing the Applicability of Adversarial Machine Learning ...

引用

2nd international conference on advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Takkalapally, Prashamsh Sharma, Nandan Jaggi, Arjun Hudani, Karim Gupta, Ketan Natarajan, Yuvaraj Department of Engineering Computing and Mathematical Sciences Lewis University United States Senior Security Analyst BC Public Service VictoriaBC Canada HCLTech San DiegoCA United States Tampa FL United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of Computer Science Engineering Sri Shakthi institute of engineering and technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Adverse machine learning (AML) is a rising area of study that uses system-mastering algorithms to perceive malicious hobbies or to discover malicious adversaries in cybersecurity settings. This research domain combines device-gaining knowledge with game principles to assess and expect the behavior of adversaries. This paper discusses the capacity of using AML tactics for cybersecurity and provides an overview of existing research study findings and safety literature to help the dialogue. Specifically, the paper investigates the security challenges posed by using AML techniques, together with the technical regulations and pointers, to ensure their relaxed and effective deployment. Moreover, the paper offers recommendations and future instructions for furthering studies on AML in cybersecurity. Typical, the evaluation highlights the significance of assessing the applicability of AML techniques for security applications, in addition to its capability to enhance the effectiveness of security systems. © 2024 IEEE.

关键词： Adversarial machine learning

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Investigating Fault-Tolerance Techniques for Protecting Cyber-Physical Systems 2

Investigating Fault-Tolerance Techniques for Protecting Cybe...

引用

2nd international conference on advances in Computation, Communication and Information technology, ICAICCIT 2024

作者： Jaggi, Arjun Takkalapally, Prashamsh Rajaram, Shravan Kumar Hudani, Karim Jiwani, Nasmin Natarajan, Yuvaraj HCLTech San DiegoCA United States Department of Engineering Computing and Mathematical Sciences Lewis University United States Microsoft Inc. CharlotteNC United States Tampa FL United States Dept. of Information Technology University of The Cumberlands WilliamsburgKY United States Department of Computer Science Engineering Sri Shakthi Institute of Engineering and Technology Tamil Nadu Coimbatore India

ISBN: (纸本)9798331541217

Cyber-physical systems (CPSs) gift a unique set of protection demanding situations because they rely on a huge and various set of digital additives. To protect CPSs from cyber-attacks, fault-tolerance techniques, inclusive of redundancy and diversity, can help to mitigate the chance of assault. The purpose of this study is to analyze the capability advantages of several fault-tolerance techniques and provide a comprehensive assessment of their effectiveness in securing CPSs. It is going to examine the impacts of different techniques on system safety, security, availability, and reliability. Furthermore, the paper will present a standard dialogue of the ability trade-offs and costs associated with distinctive fault-tolerance techniques and provide tips for deciding on the maximum appropriate method to satisfy the required level of security. This research will offer treasured perception into the relevant subjects, facilitating the development of at ease CPSs. © 2024 IEEE.

关键词： Cyber attacks

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Design Process and Development of Automation for Smart Buildings 1

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

引用

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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Fusion of Dynamic Movement Primitives and Interaction Intention: Enhancing Robotic Adaptive Behavioral Interactions 24

Fusion of Dynamic Movement Primitives and Interaction Intent...

引用

2nd international conference on advances in Artificial Intelligence and Applications, AAIA 2024

作者： He, Miao Mou, Xurong Zong, Qian Jiang, Linfeng Xu, Guilin Deng, Seng Hu, Fangchao Chongqing University of Technology Chongqing China College of Mechanical Engineering Chongqing University of Technology Chongqing China

ISBN: (纸本)9798400712883

In the research area of Human-Robot Interaction (HRI), anticipation and interpretation of human non-verbal intentions are among the most important points of natural and smooth interaction. Most prior works rely on pre-programmed actions, which do not provide good results in complex and dynamic interaction scenarios. In this connection, the presented paper proposes a new Smart Interaction Motion Predictor (SIMP), that develops a combination of Dynamic Movement Primitives (DMP) and Engagement Interaction Intentions (EII) analysis with the view to optimize efficiency and naturalness during the interaction responses of robots. Experiments demonstrate that in complicated interaction scenarios, SIMP works much better in comparison with traditional models, while in cases of interaction data to handle that is rich in dynamics and nonlinear in characteristics, the SIMP shows larger accuracy and adaptability. Experimental results support that SIMP is able to predict and adjust the actions of a robot considering human interaction intentions with much higher accuracy, making human-robot interactions more natural and smooth. © 2024 Copyright held by the owner/author(s).

关键词： Human robot interaction

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An IoT-Controlled Robotic Hand for Hazardous Material Handling 10

An IoT-Controlled Robotic Hand for Hazardous Material Handli...

引用

10th international conference on advances in Machinery, Material science and engineering Application, MMSE 2024

作者： Varughese, Aaron Vimalraj, Rohan Elango, Konguvel Rajagopal, Sivakumar School of Electronics Engineering Vellore Institute of Technology Vellore India

ISBN: (纸本)9781643685465

The paper proposes a robotic arm which mimics the action of a real human hand using an Arduino Mega and micro-servo motors can read and record paths in a 3D space. The robotic arm is controlled by an app developed on Blynk IoT that will enable it to move and manipulate objects in the designated area. This apparatus could be used in industries where we require the functions of a human hand but also raises an issue with the safety of the person involved. The industry in focus of this study is the tissue culture industry. Industries in which fragile materials such as tissue subcultures and toxic chemicals are handled could be made safer with the help of a robotic hand to handle the toxic material instead of risking the hand of an actual human being. Another industry in which a robotic arm would be helpful are those which involve heavy lifting or transportation of objects. © 2024 The Authors.

关键词： Tissue

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Consensus of Uncertain Euler-Lagrange Multi-agent Systems under Switching Digraphs and Disturbances 8

Consensus of Uncertain Euler-Lagrange Multi-agent Systems un...

引用

8th international conference on Automation, Control and robotics engineering, CACRE 2023

作者： Ju, Lei Wang, Zhiwei Wang, Anqing Zhou, Xiaotong Dalian Maritime University College of Marine Electrical Engineering Dalian China Harbin Engineering University College of Intelligent Systems Science and Engineering Harbin China Harbin Institute of Technology Center for Control Theory and Guidance Technology Harbin China

ISBN: (纸本)9798350302776

This paper focuses on exploring the problem of achieving leader-follower consensus in uncertain Euler-Lagrange multi-agent systems, which are subjected to disturbance, and operate on switched digraph. To be more precise, the system dynamics are characterized by uncertainties that can be linearly parameterized, and the disturbances that are considered are those originating from the leader system. A novel adaptive distributed control strategy is proposed to overcome the difficulties of suppressing disturbances and achieving consistency under the condition of joint connectivity of switched digraphs. By using Lyapunov stability theory and the generalized Barbalat's lemma, it is proved that the uncertain Euler-Lagrange multi-agent systems achieves state consensus asymptotically with the proposed distributed adaptive control protocol. The efficacy of the adaptive distributed control strategy proposed in the paper is validated by presenting a case study involving a system composed of four double-link manipulators. © 2023 IEEE.

关键词： Multi agent systems

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Advantages and Challenges of Utilizing RFID technology 15

Advantages and Challenges of Utilizing RFID Technology

引用

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

作者： Dhabliya, Dharmesh Amudha, A. Kaur, Ashmeet Gayathri, C. Garg, Anvesha Vivek, V. Vishwakarma Institute of Information Technology Department of Information Technology Maharashtra Pune India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore641021 India Research Impact and Outcome Chitkara University Centre of Rajpura Punjab 140417 India Prince Shri Venkateshwara Padmavathy Engineering College Department of Science and Humanities Chennai127 India Quantum University Research Center Quantum University India School of Engineering and Technology Computer Science and Engineering Karnataka Bangalore India

ISBN: (纸本)9798350370249

Radio Frequency identity (RFID) is a rising technology that uses radio waves to become aware of and tune gadgets. With advances in hardware and software, RFID technology gives many blessings to agencies by means of growing facts accuracy, improving asset tracking, inventory management, and different procedure automation. However, no matter the diverse blessings it could provide, there are several challenges that businesses have to consider while implementing the RFID era. Those demanding situations encompass capability security and privacy worries, technical complexity, price, and interference from other RF indicators. To capitalize on the advantages of RFID, agencies must carefully weigh the advantages against the potential risks to decide the end goals and whether RFID is the most viable solution. © 2024 IEEE.

关键词： Accuracy Advantages Agencies Automation Demanding Implementing Improving Indicators

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Forecasting Diabetes: A Machine Learning Approach for Predictive Analysis 15

Forecasting Diabetes: A Machine Learning Approach for Predic...

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

作者： Sable, Nikita Manohar Kamble, Vijaya Chaudhari, Poonam Gogte, Purva Yeshwantrao Chavan college of Engineering Department of Computer Science & Engineering Nagpur India S.B.Jain Institute of Technology Management & Research Department of Computer Science & Engineering Nagpur India GES's R. H. Sapat College of Engineering Mangement Studies and Research Department of MCA Engineering Nashik India Shri Ramdeobaba College of Engineering and Management Nagpur India Department of Computer Science and Engineering Nagpur India

ISBN: (纸本)9798331300579

Diabetes is a serious condition that is primarily brought on by aging, high blood pressure, pregnancy, insulin, body mass index, and the diabetes gene. Remember that if diabetes is not treated, it can cause damage to other organs and lead to major health issues like high blood pressure, kidney, eye, and heart damage. For the best possible care, diabetes must be detected early. Our research uses a range of machine learning techniques to improve the accuracy of early diabetes identification in patients or persons. To anticipate when diabetes may manifest, we would employ machine learning, ensemble classification algorithms, and a dataset. Naïve Bayesian network, logistic regression (LR), K-Nearest Neighbor, random forests (RF), and support vector machines (SVM). The research results in a model that clearly demonstrates its ability to predict diabetes. Our results show that the Random Forest model performs more accurately than other machine learning techniques. © Grenze Scientific Society, 2024.

关键词： Adversarial machine learning

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