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Artificial intelligence in Oman: A Resilient Bibliometric Analysis 3rd

Artificial Intelligence in Oman: A Resilient Bibliometric An...

引用

3rd international conference on Emerging Trends in Expert applications and Security, ICE-TEAS 2024

作者： Dheva Rajan, S. University of Technology and Applied Sciences AlMusannah Muladdah Oman

ISBN: (纸本)9789819737444

The bibliometric analysis examines the state of artificial intelligence research in Oman from 2014 to 2023. The research analyzes and reveals Oman’s growing scientific output through rigorous data gathering and analysis, underlining the critical role of AI in the country’s academic path. Despite advances in research, issues remain in the Sustainable Development Index (SDI). Artificial intelligence developments are driven by key contributors, including prolific writers like AlOmar MK and prestigious institutions like Sultan Qaboos University. The cooperation globe map highlights Oman’s global research relationships, while co-occurrence networks suggest common AI subjects. This report not only examines Oman’s artificial intelligence trajectory, but also highlights the worldwide collaborative, research gaps, and thematic factors that influence AI research. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Sustainable development goals

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Research on Gait Planning and Motion Control of a Small Quadruped robot 3

Research on Gait Planning and Motion Control of a Small Quad...

引用

3rd international conference on Control and Intelligent robotics, ICCIR 2023

作者： Li, Fei Hong, Gang Li, Shuo Guangxi Beihai Power Supply Bureau of China Southern Power Grid Guangxi Beihai536000 China

ISBN: (纸本)9781510671867

The quadruped robots have a good prospect in substation inspection applications because of their stronger terrain adaptability. This paper focuses on the gait planning and motion control of small intelligent quadruped robots. Firstly, the mechanical structure design of a quadruped robot is completed based on SolidWorks software. Secondly, the kinematics of the designed quadruped robot is analyzed, and gait planning of the walk gait and the steering gait is designed. Finally, the experiments of the walk gait and the steering gait are completed on the physical platform of the quadruped robot designed in this paper. When the robot performs the walk gait, the average forward speed is 0.04 m/s. When the robot performs steering gait, the average steering speed is 9°/s. The experimental results show that the gait control method designed in this paper can achieve stable control of quadruped robot motion. © 2023 SPIE.

关键词： Intelligent robots

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Kinematic Error Model for Trolley-type PUU 9

Kinematic Error Model for Trolley-type PUU

引用

9th international conference on Automation, robotics and applications (ICARA)

作者： Ke, J. D. Ang, Y. J. W. Natl Sun Yat Sen Univ Depatiment Mech & Elect Engn Kaohsiung Taiwan

ISBN: (纸本)9781665489218

Because of the ability to move at high speed and the high stiffness, Parallel Kinematic Machines (PKMs) have been widely used in industry and research in recent years. In this paper, the kinematic error model was established for the trolley-type PUU (prismatic-universal-universal joint). Three translation errors were added to the ideal kinematic model present the joint position because of manufacturing and assembly. The calibration process included measuring the positioning error by a laser interferometer, identifying the error parameters using least square method and revised the kinematic model in the controller. After compensation, the positioning errors of end effector were indeed reduced. It could show the practicality of this model. Moreover, modifying the kinematics in the controller is a timesaving and convenient compensation method.

关键词： kinematic error model trolley-type PUU parallel kinematic mechanism

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Human-AI Collaboration in Smart Manufacturing: Key Concepts and Framework for Design 3

Human-AI Collaboration in Smart Manufacturing: Key Concepts ...

引用

3rd international conference on Hybrid Human-Artificial intelligence, HHAI 2024

作者： Hartikainen, Maria Spurava, Guna Väänänen, Kaisa Tampere University Computing Sciences Finland

ISBN: (纸本)9781643685229

Demographical reasons and the increasing demand for improved production efficiency are steering the transformation within the manufacturing domain towards smart manufacturing. This entails introducing artificial intelligence (AI), data analytics, and automation to improve the efficiency, productivity, and flexibility of manufacturing processes. With the integration of AI, there is a shift from humans merely interacting with technology to actively collaborating with it, especially with AI-enabled agents. This shift brings changes in work practices and tasks. Hence, comprehensive understanding of the phenomenon becomes central for the design of human-AI collaboration that genuinely contributes to effective production and supports operators' well-being. This scoping review study aims to shed light to the evolving landscape of human-AI collaboration in smart manufacturing by presenting six key concepts derived from an analysis of 23 academic papers. Based on the findings, we propose a framework that offers an initial basis for the design of human-AI collaborative systems for smart manufacturing. © 2024 The Authors.

关键词： Artificial intelligence

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Role of Artificial intelligence in the Indian Judicial System 3

Role of Artificial Intelligence in the Indian Judicial Syste...

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3rd IEEE international conference on Computational intelligence and Knowledge Economy, ICCIKE 2023

作者： Gorlamudiveti, Lakshmi Priya Sethu, Sagee Geetha Amity University Dubai Department of Law Dubai United Arab Emirates

ISBN: (纸本)9798350338263

As of January 2023 more than 47 million cases are pending in Indian Courts and this number is expected to be on an upward tangent. Many of these cases have been pending before the lower and higher courts since the last decade. There has been significant research conducted in identifying the reasons behind such exponential increase in cases. The main reasons for pendency of cases were identified as the lack of available judges, legal professionals or even quality of infrastructure and courts. However very little research has been carried on with a concrete solution for how the cases can be disposed at a faster rate and thereby reduce the case load. This paper proposes that through effective use of Artificial intelligence (AI), the cases that are pending before the courts can be significantly reduced and aid all the stakeholders involved, namely, the judges, lawyers, clients, and general public. The paper explores the utilization of AI in the judicial system by assessing its application in three main areas: Legal Research, Legal Reasoning and Outcome Prediction. Furthermore, the paper will examine the ways in which the Indian Judicial System can adopt AI while taking into account the three main factors i.e. bias, precedents and costs, which are all essential for effective implementation of AI. Overall, this paper provides prospective applications of AI's in law while also assessing the feasibility of such applications in the Indian judicial system. Since this study discusses the convergence of AI and law the paper will not only be helpful for engineers who are aiming to develop AI technology but also various stakeholders in law who will be the consumers of such technology. © 2023 IEEE.

关键词： Artificial intelligence

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A Soft Amphibious robot with Buoyancy Control and Underwater Manipulation Capabilities 17th

A Soft Amphibious Robot with Buoyancy Control and Underwater...

引用

17th international conference on Intelligent robotics and applications

作者： Yang, Yang Zheng, Haozhe Xie, Yuan Jiang, Pei Li, Yingtian Nanjing Univ Informat Sci & Technol NUIST Sch Automat Nanjing 210044 Peoples R China NUIST Jiangsu Prov Engn Res Ctr Intelligent Meteorol Ex Nanjing 210044 Peoples R China Chongqing Univ State Key Lab Mech Transmiss Adv Equipment Chongqing Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China

ISBN: (纸本)9789819607945;9789819607952

Underwater equipment is critical for environmental applications. Conventional rigid underwater manipulators require considerable size and weight, hindering the application of underwater operations. Origami actuators have proven to be an effective technique and have been used in many applications. In this work, I propose a bionic soft amphibious robot based on a Z-shaped actuator and a twisted tower actuator. The soft robot can be fabricated by 3D printing technology and has a simple structure for easy operation. Two different types of programmable origami actuators are designed and fabricated, i.e., Z-shaped actuator and torsion tower actuator. Z-shaped actuator is used for the rear leg which enables the movement of the frog. Meanwhile, the torsion tower shaped actuator is used for the front legs to rotate the joints and movement on land. We designed a novel hybrid structure (rigid frame + soft actuator) gripper using the Z-shaped actuator to improve the gripping performance. And we use bellows to make the buoyancy unit of the soft robot. The origami actuators and were tested through a series of experiments, which showed that the robot was able to efficiently move and perform grasping maneuvers in water and on land. Our results demonstrate the effectiveness of these actuators in generating the desired motions and provide insight into the potential of applying 3D printed origami actuators to develop soft robots with bionic capabilities.

关键词： Soft Body robots Origami Actuators Underwater Manipulation Bionic robots Amphibious Locomotion

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Low Latency Video Streaming System for VR Teleoperation over 5G Networks 3

Low Latency Video Streaming System for VR Teleoperation over...

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3rd IEEE international conference on Metrology for eXtended Reality, Artificial intelligence and Neural Engineering, MetroXRAINE 2024

作者： Blázovics, László Kovács, Viktor Gótzy, Márton Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Automation and Applied Informatics BudapestH-1111 Hungary

ISBN: (纸本)9798350378009

With the introduction of 5G networks, high-speed low-latency network connections became available for mobile and embedded devices without the limited range of WiFi networks. Although the source and the destination can now be hundreds of kilometres away, the communication between them can be flawless. Our goal is to have a low cost, low power, lightweight device that is able to stream video for UAV (unmanned aerial vehicles), mobile robot teleoperation over 5G networks to AR/VR (augmented/virtual reality) applications, to large distances without the need for line of sight. In this paper we compare the latency of existing low cost video streamer solutions (UAV camera streaming, single board computer) and present a custom hardware-software solution optimized for low latency, while conducting measurements over different network types (wired, campus 5G, public 5G). We have shown that the custom device was able to achieve with significantly lower latency (50-80 ms direct over direct connection, about 100-150 ms over public 5G). © 2024 IEEE.

关键词： 5G mobile communication systems

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3rd IEEE international conference on Social Sciences and intelligence Management, SSIM 2023

作者： Kaur, Sarabjot Bhatt, Priyanka C. Jindal Global Business School O.P. Jindal Global University Sonipat India Chaoyang University of Technology Department of Business Administration Taichung Taiwan

ISBN: (纸本)9798350327786

Information was retrieved from patent documents using a robust framework centered on the advanced DeBERTa model in this study. Emphasizing the crucial interplay between algorithmic selection and patent language intricacies, the developed method involved four epochs of model training. Significant enhancements were found through the Pearson correlation analysis. The proposed novel method improved model understanding. Cross-validation was conducted to ensure a balanced evaluation, and the contemplation of an ensemble approach was used for the model's refinement. String-matching algorithms validated the analysis of this research showing the model's efficacy in capturing relationships within patents. The research results allowed for algorithmic tailoring and applications in patent search. By fine-tuning, transferring learning exploration, and addressing biases, continual innovation in patent analysis and information retrieval is continued based on multi-modal integration. © 2023 IEEE.

关键词： String searching algorithms

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Cloud-based Fusion Rendering for AR applications 3

Cloud-based Fusion Rendering for AR Applications

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3rd IEEE international conference on Digital Twins and Parallel intelligence, DTPI 2023

作者： Tang, Jing Zhou, Yuxi Chen, Zhenyu Chen, Cheng Xiong, Gang Zhang, Hongxin Zhejiang University State Key Lab of Cad&cg Hangzhou China Zhejiang University College of Computer Science and Technology Hangzhou China Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350318470

To create digital twins, it is necessary to represent real objects or scenes in a virtual form. With the rapid development of Augmented Reality (AR) technology, its applications in various fields are becoming increasingly extensive. However, in traditional AR applications, the client has high performance requirements for device compute-intensive tasks, which cannot be met on low-performance devices. To solve this issue, in this paper, we propose and implement a novel digital twin method for AR technology, which is based on a cloud fusion platform. The approach includes deploying the Neural Radiance Field (NeRF) on a cloud server for high-quality model rendering and integrating simultaneous localization and mapping (SLAM) with AR visualization on the client side. This design effectively separates compute-intensive tasks from client-side rendering tasks, reducing the performance requirements of client devices and enhancing overall scalability and availability of the system. Practical application and tests show that the proposed AR system based on the cloud fusion platform performs well in terms of performance, stability, and scalability. This paper provides detailed discussions on the relevant technical methods and approaches, and showcases examples that serve as a foundation for the implementation of digital twins across diverse fields. © 2023 IEEE.

关键词： Augmented reality

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A non Invasive Brain-Computer-Interface for Service robotics 3

A non Invasive Brain-Computer-Interface for Service Robotics

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3rd IEEE international conference on Artificial intelligence, ICAI 2023

作者： Ahmed, Fatima Iqbal, Hashim Nouman, Ahmed Maqbool, Hafiz Farhan Zafar, Saqib Saleem, Muhammad Khurram University of Engineering & Technology Mechatronics Engineering Department Lahore Pakistan AASS Computer Science Department Orebro University Örebro Sweden University of Engineering & Technology Mechatronics Engineering Department Taxila Pakistan

ISBN: (纸本)9798350322125

A Brain-Computer Interface (BCI) enables individuals to control a system solely through their brain activity, without relying on physical movement. These interfaces have numerous applications, particularly in assisting individuals with paralysis. Our research paper details a BCI interface that can classify and control seven wheelchair movements: forward, backward, left, right, stair climbing upwards, stair climbing downwards, and stop. We collected raw signal data using the electroencephalog-raphy (EEG) technique from healthy volunteers, which we then filter before feeding into the feature extraction and classification stages. We evaluated our approach using three classification algorithms: Convolution Neural Network (CNN), Support Vector Machines (SVM), and Random Forest Classifier, and compared their performance. Our experimental results demonstrate that our proposed approach is highly promising for implementing BCI, with a classification accuracy of 99% using a Random Forest Classifier. © 2023 IEEE.

关键词： Brain computer interface

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