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Avenues of Graph Theoretic Approach of Analysing the LIDAR Data for Point-To-Point Floor Exploration by Indoor AGV 3rd

Avenues of Graph Theoretic Approach of Analysing the LIDAR D...

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3rd international conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2021

作者： Chaudhuri, Rapti Acharjee, Jashaswimalya Deb, Suman National Institute of Technology Agartala Agartala India

ISBN: (纸本)9789811958670

Realizing point-to-point augmented path is one of the most challenging tasks for any mobile robot navigation. The challenge is much higher when it is GPS-denied indoor environment. This paper presents analysis of graph theoretic approaches including applicable heuristic algorithms for achieving optimal point-to-point navigation using LIDAR sensor data as source input, ensuring total workspace coverage and minimization of action performed by the robot in carrying out realistic applications. Sampling-based approaches which uses arbitrary information gain formulation and learning-based techniques, both are studied extensively. Uniform sampling-based techniques are found feasible in exploring the state space without any complexity in geometrically modelling the configuration area ensuring embedded intelligence into the mobile robots in finding optimal execution. The navigation over both static as well as dynamic obstacles are analysed, and the observations are presented in a comparative manner. The paper concludes with the graphical and numerical analysis of the accuracy achieved using mentioned algorithms. It would definitely help in obtaining individual navigational strategy by the mobile robot to reach a specific goal. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Mobile robots

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11th international conference on robot intelligence technology and applications, RiTA 2023

11th International Conference on Robot Intelligence Technolo...

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11th international conference on robot intelligence technology and applications, RiTA 2023

ISBN: (纸本)9783031706837

The proceedings contain 30 papers. The special focus in this conference is on robot intelligence technology and applications. The topics include: IoT-Based Underwater robotics for Water Quality Monitoring in Aquaculture: A Survey;Review of Recent Research on the Potential of Cellulose NanoCrystals (CNCs) in Improving Heat Transfer Processes;harnessing the Fourth Industrial Revolution: Trends and Challenges in Applying Industry 4.0 to Enhance Predictive Maintenance in Manufacturing, Specifically Mining;enhancing Thermal Conductivity and Heat Transfer Performance with Nanocellulose-Based Nanofluids: A Comprehensive Study;3D Guidewire Shape Reconstruction from Monoplane Fluoroscopic Images;shape-Sensitive Loss for Catheter and Guidewire Segmentation;a ZnO Nanowire Based Memristive Device and Its Application in Artificial Synapse;wide-Area Signalling Enabled by the High-Throughput-Satellite Communication: A Machine Learning Approach;a Neural Network Approach to Tool Wear Detection via Infrared Sensor Monitoring;A RFID Online Sensing Tag for Electric Power Materials;Analysis of a Hybrid Pump Controlled Hydraulic System Based on AMEsim;collaborative Music Performances with Humanoid robots and Humans;Comparison of PSO and SQP Methods for Energy Optimization of a Backstepping-Controlled Differential Mobile robot;TOSS: Real-Time Tracking and Moving Object Segmentation for Static Scene Mapping;path Planning of Multi-robots in Confined Spaces;Fusing UAV and Ultra-Wideband technology for Target Visual Intelligent Perception Without GNSS;perception of Social Behaviours in robots;evaluating the Energy Consumption of Path Planning Algorithms: A Comparative Study of A*, Dijkstra and Probabilistic Roadmap;inertial-Joint Learning-Aided Robust Pose Estimation for Legged robots;Guided Exploration Reinforcement Learning for UAV Pursuit-Evasion Games;Autonomous Crop Pollination Using a Double-Flap UAV Integrated with Real-Time SLAM technology: Design, Algorithms, and Experimental Validat

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Research Trends in Perceived Behavioral Control from a Bibliometric Perspective 3

Research Trends in Perceived Behavioral Control from a Bibli...

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3rd international conference on Creative Communication and Innovative technology, ICCIT 2024

作者： Purnama, Suryari Sunarjo, Richard Andre Rakhmansyah, Mohamad Rizky, Agung Esa Unggul University Faculty of Economies and Business Tangerang Indonesia Universitas of Raharja Faculty of Economies and Business Tangerang Indonesia University of Raharja Faculty Sains of Technology Tangerang Indonesia Pandawan Sejahtera Indonesia Faculty of Digital Business Tangerang Indonesia

ISBN: (纸本)9798350367492

Perceived Behavioral Control (PBC), a central element of the Theory of Planned Behavior, is essential for understanding and predicting human behavior across diverse fields such as psychology, business, and education. PBC refers to an individual's perceived ease or difficulty in executing a particular behavior. This study employs the Dimensions database and advanced bibliometric tools, leveraging artificial intelligence and machine learning algorithms to investigate the global influence and utilization of PBC. The analysis identifies key trends in PBC research, leading contributors, prominent institutions, and its interdisciplinary scope, particularly focusing on the intersection of PBC with technology adoption and human-computer interaction. Data from 68 countries highlight major contributions from China and Indonesia. Noteworthy institutions include Universiti Malaysia Kelantan, University of Malaya, and Binus University, with influential researchers such as Meng Bo and Arkorful. Leading journals such as Sustainability and the international Journal of Environmental Research and Public Health reflect PBC's interdisciplinary significance, particularly in the context of technological advancements and digital behavior analysis. Key-word co-occurrence analysis reveals PBC's frequent associations with attitudes, intentions, and subjective norms, which are crucial to the Theory of Planned Behavior and its application in technology acceptance models. This study underscores PBC's global significance in behavior prediction, showcasing its widespread application and the international collaboration fueling current research. By incorporating advanced data analytics and machine learning techniques, this research lays the groundwork for future studies to delve deeper into PBC's implications and applications in the realm of technology and digital interactions, making significant contributions to the IEEE community. © 2024 IEEE.

关键词： international cooperation

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Task Allocation and Collaborative Planning Algorithm of the Sub-mother Unmanned Platform under Multi-task Constraints 3rd

Task Allocation and Collaborative Planning Algorithm of th...

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3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Liu, Jining Li, Herui Yu, Huachao Hou, Mingyu Fang, Caoqing Song, Wenjie School of Automation Beijing Institute of Technology Beijing China Collective Intelligence and Collaboration Laboratory China North Artificial Intelligence and Innovation Research Institute Beijing China

ISBN: (纸本)9789819710980

In multi-robot systems, task allocation and collaborative planning can become less efficient and less successful as the number of tasks and the complexity of the target map increase. These challenges can even lead to search failures. To address these issues, this paper proposes a novel approach that employs a region segmentation algorithm to divide the task space into sub-regions. Subsequently, task allocation and collaborative planning are performed within each sub-region. The approach utilizes a sub-mother car unmanned platform, where the mother car is responsible for carrying and charging the sub-cars. The sub-cars, in turn, carry out the assigned tasks. Comparative experiments with the traditional ECBS-TA algorithm demonstrate the effectiveness of the proposed method. It improves the success rate, reduces runtime, and extends the applicability of the traditional ECBS-TA algorithm to large maps and environments with complex obstacles. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Motion planning

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Role of Artificial intelligence in the Next Generation Wearable Devices 3

Role of Artificial Intelligence in the Next Generation Weara...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Kumar, Virendra Babubhai, Patel Jignasaben Ahmed Fayaz, Fayaz Dhobal, Kiran Kumar Rai, Praveen Rachapalli, Ashok G L Bajaj Institute of Technology and Management Gr. Noida India Sankalchand Patel University Faculty of Computer Science Shri C.J. Patel College of Computer Studies Gujarat Mehsana India Nielit & Lovely Professional University India Uttaranchal University Uttaranchal Institute of Technology India Gl Bajaj Institute of Technology and Management Department of Computer Science & Engineering Uttar Pradesh Greater Noida India Sr University School of Computer Science and Artificial Intelligence Telangana Warangal India

ISBN: (纸本)9798350399264

The famous category of gadgets now includes whole new and quickly developing devices thanks to wearable technology. Wearable technology has the ability to provide artificial intelligence (AI) techniques with a wealth of useful data, in addition to being attractive and outfitted with cutting-edge hardware technologies like communication modules and networking in next generation. Numerous projects have previously been completed using a variety of AI approaches, including monitored, unattended, semi-supervised, and reinforcement learning (RL). This article examines contemporary wearable apps that have used AI to accomplish their goals. Users cover specific examples of both supervised and unsupervised applications in medical diagnosis. Additionally, instances fusing RL, wearables, and the web of things are discussed. Wearables application samples for particular industries, including the healthcare, commercial, & sporting fields, are also provided. Implications in medicine range from personal exercise to mobility disorders and mental wellness. The use of wearables in the workplace includes improving productivity of employees. The main goal of sports programs is to improve the client satisfaction through exercise or competitive *** biggest issues with wearable device creation and creation as well as the computational cost of applying AI techniques are discussed. Finally, prospects and difficulties facing wearable technology in the next are discussed. © 2023 IEEE.

关键词： Wearable technology

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Role of Artificial intelligence (AI) to Enhance the Security and Privacy of Data in Smart Cities 3

Role of Artificial Intelligence (AI) to Enhance the Security...

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3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Sharma, Vikas Kumar, Sunil IIMT University School of Computer Science and Applications Meerut India AURO University School of Information Technology Surat India

ISBN: (纸本)9798350399264

Because smart cities are complex and interdependent, managing them involves dealing with political, technological, and socioeconomic challenges for many organizations. Since a few years back, a lot of literary works have concentrated on privacy, dangers, security and problems with the architecture of smart cities. These all factors mainly concern data processing and its management. This research primarily focuses on important difficulties, offers a thorough analysis of the literature, and makes recommendations for creating a framework for smart cities that primarily highlights the security and privacy elements. The infrastructure needed for smart cities, the protocols used to advance security and privacy, operational dangers to smart cities, and the best use of social media are only a few of the important topics covered in this study. It also offers a helpful perspective on many important issues and suggests a course for future research. The lessons learned might provide academics and researchers with a beneficial research foundation and a point of reference. © 2023 IEEE.

关键词： Smart city

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Research on sample transfer robot of cold storage based on visual SLAM 3

Research on sample transfer robot of cold storage based on v...

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3rd international conference on Machine Vision, Automatic Identification, and Detection, MVAID 2024

作者： Zhao, Honghua Zhao, Kedun Chen, Bo Sun, Zhaoguo Sun, Xuan Ai, Changsheng School of Mechanical Engineering University of Jinan 250022 China Linyi Lingong Intelligent Information Technology Co. Ltd Linyi276000 China

ISBN: (纸本)9781510681880

Aiming at the transport of biological samples under low temperature environment, a sample transport robot based on visual SLAM navigation was designed to complete the transport of sample tubes under low temperature cold storage environment. SLAM uses RGB-D SLAM three-thread scheme to complete real-time localization and mapping. The algorithm is improved considering that the actual environment is static stability and sufficient illumination, and the front-end odometer is prone to mismatching and the data association time. An improved "FAST-BRIEF-COUPLING" loosely coupled data association strategy is proposed to provide more response time for back-end optimization threads and global pose map optimization. Through the simulation environment experiment, the real-time and robust performance of the algorithm can meet the needs of practical applications. © 2024 SPIE.

关键词： Cold storage

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Research on the Application of Relationship Graphs in Data Analysis Algorithm Design 3

Research on the Application of Relationship Graphs in Data A...

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3rd IEEE international conference on Electronic technology, Communication and Information, ICETCI 2023

作者： Yancheng, Zhu Shenyang Aerospace University College of Artificial Intelligence Shenyang China

ISBN: (纸本)9798350398410

With the continuous development of statistics and computer science, people's demand for data mining and potential information analysis is increasing. There are a lot of relational data in the world. As the core of data analysis and mining, data analysis algorithms significantly impact the effectiveness and results of data analysis. A relationship graph is an essential tool for in-depth association analysis. This paper proposes a graph-based data screening and analysis evaluation system using the relationship graph. First, this paper proposes an entity retrieval and location algorithm to establish the entity and relationship network for the research. Then, a relationship graph is established to extract frequent data items for the relationship network. In addition, to facilitate the subsequent data scoring and analysis, we have established a graph-based data screening process and completed the above tasks by defining an evaluation matrix. Finally, we practice the constructed relationship graph in the application scenario of scientific and technological data analysis. The research is based on statistics and computer science, with in-depth research and applications on relationship graphs. It is expected to provide some references for designing and applying data analysis algorithms. © 2023 IEEE.

关键词： Data mining

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Network based Learning Platform Application Model for Enhancement of Realtime Working Systems 3

Network based Learning Platform Application Model for Enhanc...

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3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Shanmuga Priya, R. Shanmugavadivel, Sowbarnigaa Sakthi Muthusamy Sivaraja, Mehal Shifani Francis, M. Madras Institute of Technology Department of Information Technology Chennai India

ISBN: (纸本)9781665462167

Learning platforms have become an integral part of the education system these days. Especially after the COVID era, education has become more allied with self-paced and remote learning and learning platforms have made it boom exponentially. Improper construction and implementation of such platforms can lead to huge risks for the users and the company. Data security is not taken much care of while building such platforms;instead, concentration is given to fancy front-end pages and attractive interfaces. This may not be good at all times. Data is one of the most powerful resources and can have a very big impact if misused. This paper proposes a networking-based approach to implementing such platform systems in a safe and organized way. Implementation using networking concepts gives a better hand in managing permissions, access rights, and security in all data-related transfers and communications. In terms of online gaming and real-time video communication, User Datagram Protocol (UDP) is often used because it is faster than Transmission Control Protocol (TCP) and is well-suited for real-time applications that cannot tolerate delays. UDP is a connectionless protocol, which means it doesn't retransmit lost data and therefore has lower overhead, making it a good choice for real-time applications like video conferencing and online gaming. Examples of such applications include Skype, Google Meet, Zoom, and Facetime. Based on these existing applications, this work introduces UDP in the field of Learning Platform applications and builds a model on top of which real-time applications can be constructed. The proposed system makes use of UDP for all its requests, responses, and file transfers. The protocol itself is not very reliable, but the addition of provisions for acknowledgements in all requests and responses makes this system overcome transfer uncertainty. Implementation using networking concepts improves the speed, security, privacy, and customization abilities of the p

关键词： Transmission control protocol

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HVUE Planner: 3D UAV Path Planner Using Hierarchical Visibility Graph in Unknown Environments 17th

HVUE Planner: 3D UAV Path Planner Using Hierarchical Visibil...

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17th international conference on Intelligent robotics and applications

作者： Pang, Jiaxue Chen, Liming Jia, Yijie Chen, Weihuang Zhang, Xuchong Sun, Hongbin Xi An Jiao Tong Univ Inst Artificial Intelligence & Robot Xian 710049 Peoples R China 208 Res Inst China Ordnance Ind Beijing 102202 Peoples R China

ISBN: (纸本)9789819607853;9789819607860

In recent years, research on UAV path planning in known environments has matured. However, the demand for planning techniques in unknown environments is increasing in practical engineering applications, where numerous planning needs arise in unknown environments. In such scenarios, the related technologies remain challenging. This paper introduces an efficient 3D UAV Path Planner for Unknown Environments that utilizes a single-layer visibility graph to efficiently handle not only unknown but also partially known environments. It supplements local obstacle handling by using 2D projection maps, aiming to address the high map update storage and computational complexity issues in traditional methods. Extensive experimental results have been tested in a moderately sized virtual campus simulation environment and show that our method is highly efficient with less computational load and map storage compared to state-of-the-art planning methods.

关键词： Path Planning Aerial Systems Unknow Enviroment-based Planning Visibility Graph

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