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Exploring Computational Visual Interfaces for Artificial intelligence Language Modeling User Experience among College Students: A Rooted Theoretical Approach 24

Exploring Computational Visual Interfaces for Artificial Int...

引用

3rd international Symposium on Control Engineering and robotics, ISCER 2024

作者： Gao, Xiang Zhou, Yuanchao Shandong Academy of Arts and Design Jinan Shandong250000 China

ISBN: (纸本)9798400709951

Artificial intelligence (AI) is an emerging technology with the aim of developing intelligent applications that have broad applications in various fields such as healthcare, education, and design. AI design research is presently in an exploratory phase, yet its influence on computer vision interfaces for subjective user experience is becoming increasingly significant. Focused on Chinese university students, the research delves into AI user experience, emphasizing NLP, HCI, and SU. Data was collected via surveys and interviews, with deep learning techniques aiding data processing. A substantial volume of user data was gathered through user surveys and in-depth interviews, with deep learning techniques employed for data preprocessing and feature extraction. Results show a preference for personalized services and data mining in interface design, while technical features and operational fluency are priorities in programming. Enhancing HCI design can improve operational efficiency and meet individual needs, bolstered by clear visual interfaces and HCI technologies, thus enhancing overall user experience quality and effectiveness. © 2024 ACM.

关键词： Students

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Research on turn-based war chess game based on reinforcement learning 3

Research on turn-based war chess game based on reinforcement...

引用

3rd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2023

作者： Chen, Yu Bai, Ling Tan, Yao Liu, Yahui Nan, Hai Chongqing University of Technology School of Computer Science and Engineering Chongqing China

ISBN: (纸本)9781665472784

The search algorithm for turn-based war chess game is still using the traditional algorithm, and the whole war chess game needs a huge computational power, resulting in the research of turn-based war chess game in artificial intelligence is relatively backward. In this paper, we design a turn-based war chess game algorithm based on reinforcement learning, which is composed of Monte Carlo tree search (MCTS) and deep neural network. Monte Carlo tree search relies on strategy network to simulate chess several times, to choose better chess quality;The deep neural network reversely trains the strategy network through the final chess outcome. The experimental results show that there is no defeat in 10Kvs5K and 10Kvs3K game. This algorithm can improve the chess skill through self-game when there is no human knowledge and learning from scratch in turn-based war games. © 2023 IEEE.

关键词： Deep neural networks

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Wearable Ear EEG Device for Emotion Recognition in Human-robot Interaction 23

Wearable Ear EEG Device for Emotion Recognition in Human-Rob...

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23rd international conference on Cyberworlds, CW 2024

作者： Mai, Ngoc-Dau Go, Kentaro Mao, Xiaoyang Chung, Wan-Young Pukyong National University Dept. Artificial Intelligence Convergence Busan48513 Korea Republic of University of Yamanashi Kofu Dept. Computer Science and Engineering Yamanashi400-8511 Japan

ISBN: (纸本)9798331527174

Wearable electroencephalography (EEG) devices are emerging as crucial tools in human-robot interaction (HRI), enabling intuitive and effective communication between humans and robots. These devices non-invasively measure brain activity, providing real-time insights into a user's mental state, intentions, and cognitive load. This paper explores the advancements and applications of wearable ear EEG technology in HRI, with a focus on detecting human intent, monitoring emotional and cognitive states, and delivering real-time feedback for adaptive robot behavior. The benefits of wearable EEG over traditional scalp EEG, such as enhanced user comfort, reduced setup time, and improved long-term wearability, are thoroughly examined. Additionally, the paper covers advanced applications, including emotion-aware adaptive interactions, neurofeedback training, and direct robot control via brain-computer interfaces (BCIs). A review of the latest advancements in device miniaturization, integration with other wearable sensors, and applications in virtual reality, gaming, and healthcare is provided. Future directions focus on expanding applications, enhancing human-AI collaboration, and improving accuracy and reliability in HRI. The studies discussed in this paper represent our state-of-the-art research across various fields and applications of wearable EEG systems. This study highlights the potential of wearable Ear-EEG devices to revolutionize human-robot interactions by enhancing customization, responsiveness, and overall efficacy. © 2024 IEEE.

关键词： Human robot interaction

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Research on the Construction of Agricultural Planting Big Data Corpus Based on Knowledge Graphs 3

Research on the Construction of Agricultural Planting Big Da...

引用

3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Xiaohong, Ning Qian, Peng Maalla, Allam Shaoqiang, Li School of Information Technology and Engineering Guangzhou College of Commerce Guangzhou China

ISBN: (纸本)9781665490788

Agriculture has always been an important pillar of China, and the continuous development of science and technology has always been inclusive to the people. How to help more growers more scientific and convenient planting through intelligent technology and solving problems and challenges in the field of agricultural planting have always been a problem worth thinking and practice. The purpose of this study is to build a new-style agricultural field of the new agricultural field of the conceptual system, and build a standardized, systematic knowledge corpus, agricultural planting data entity extraction corpus in the agricultural field through the structural concept of the new agricultural planting knowledge base. Agricultural planting data is due to basic data during data mining and model construction. Provide an efficient and professional crop planted big data corpus solution for agricultural knowledge graph applications. © 2023 IEEE.

关键词： Data mining

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applications of 5G Mobile Positioning Techniques in Vertical Industries 3

Applications of 5G Mobile Positioning Techniques in Vertical...

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3rd IEEE international conference on Information technology, Big Data and Artificial intelligence, ICIBA 2023

作者： Lv, Risheng Hou, Weibin Du, Bin Zhang, Tianjing Bai, Yun Xu, Jie Xia, Shida Du, Jiadong Technology and Standards Research Institute China Academy of Information and Communications Technology Beijing China

ISBN: (纸本)9781665490788

As a new generation of information and communications technology (ICT), 5G has been becoming a considerable driving force for the digital transformation of economic society. The rapid development in both technical and industrial fields has introduced abundant functions and possibilities for 5G, beyond its inherent communication capabilities. Precise positioning is one of these emerging characteristics and has been attracting increasing attentions from various industries, since its universal and general usability for industrial requirements. Effective employment of 5G as new infrastructure for seamlessly high-precision location services has become a new direction of global development, which is of great significance for solving the 'last mile' of high-precision and low-cost location services from outdoor to indoor. Nine typical application scenarios in various industries are summarized in this paper. As an outlook, several possible development trends and challenges are proposed. © 2023 IEEE.

关键词： Costs

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User-centred product design visualisation and trend analysis in the view of artificial intelligence 24

User-centred product design visualisation and trend analysis...

引用

3rd international conference on Artificial intelligence and Education, ICAIE 2024

作者： Deng, Tingyin Zhang, Xue Jiang, Xue Mei Guo, Kexin Zhang, Wenying Sichuan University of Science and Engineering Suse Sichuan Zigong China

ISBN: (纸本)9798400712692

In recent years, with the rapid development of computer hardware and algorithm technology, artificial intelligence has shown significant advantages in product design, medical diagnosis and finance. This paper applies the method of visual analysis to reveal the research hotspots of user-centred product design in the field of artificial intelligence and discusses the future development trend of this field. The data for this study comes from 670 documents in the Web of Science database. Using visualisation tools such as CiteSpace 6.1.1 and VOSviewer, the literature on "Artificial intelligence (AI)", "Users"and "Product Design (PD)"was analysed for the period from 2004 to 2024. Product Design (PD)"literature was analysed. Product Design (PD)"literature was analysed. It was found that over the past two decades, research in this field can be broadly categorised into three phases: initial development, rapid development and fluctuating growth. China has become a major force in this research area and has made a significant impact. The main research directions focus on technology and management innovation, advanced technology and industrial change, information technology and applications, and technology and user experience. The results of the study expose that user-centered product and service design needs to pay more attention to intelligence and personalization as a way to drive the development of service quality improvement. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Integrated circuit layout

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Demystifying the Role of Big Data Analytics in IIoT-Based Connected Railways 3

Demystifying the Role of Big Data Analytics in IIoT-Based Co...

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3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Gupta, Navya Narwal, Bhawna Batra, Shivangi Gera, Pooja Bhati, Pooja Department of Artificial Intelligence and Data Science Delhi India Department of Information Technology Delhi India Department of Mechanical and Automation Engineering Delhi India

ISBN: (纸本)9798350330724

Recent advances in sensors, networks, and hardware/software platforms have facilitated the development of Industrial Internet of Things (IIoT) applications in railway transportation. Nevertheless, the limited coverage and battery life of IIoT devices remain significant hurdles in realizing realistic service implementations. Against this backdrop, this study aims to scrutinize the impact of Industry 4.0 and big data analytics on railway engineering, considering factors such as post-COVID requisites and the security and privacy of rail users. Additionally, the research investigates the application of these ideas in India, which presents a challenging environment, and examines potential avenues for future research. © 2023 IEEE.

关键词： Big data

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The Stiffness of 3-PRS PM Across Parasitic and Orientational Workspace 6

The Stiffness of 3-PRS PM Across Parasitic and Orientational...

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6th international conference on Reconfigurable Mechanisms and robots (ReMAR)

作者： Nigatu, Hassen Li Jihao Zhu, Keqi Zhang, Junhan Guo, Haotian Lu, Guodong Kim, Doik Zhejiang Univ Sch Mech Engn Robot Percept & Grasp Lab Hangzhou 310027 Peoples R China Zhejiang Univ Robot Res Ctr Yuyao Yuyao Technol Innovat Ctr Robot Inst 479 Ye Shan Rd Ningbo Zhejiang Peoples R China Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Sch Mech Engn Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ Engn Res Ctr Design Engn & Digital Twin Zhejiang Sch Mech Engn Hangzhou 310027 Zhejiang Peoples R China Korea Inst Sci & Technol KIST Artificial Intelligence & Robot Inst Ctr Intelligent & Interact Robot xR Lab Seoul South Korea

ISBN: (纸本)9798350395976;9798350395969

This study investigates the stiffness characteristics of the Sprint Z3 head, also known as 3-PRS Parallel Kinematics Machines, which are among the most extensively researched and viably successful manipulators for precision machining applications. Despite the wealth of research on these robotic manipulators, no previous work has demonstrated their stiffness performance within the parasitic motion space. Such an undesired motion influences their stiffness properties, as stiffness is configuration-dependent. Addressing this gap, this paper develops a stiffness model that accounts for both the velocity-level parasitic motion space and the regular workspace. Numerical simulations are provided to illustrate the stiffness characteristics of the manipulator across all considered spaces. The results indicate that the stiffness profile within the parasitic motion space is both shallower and the values are smaller when compared to the stiffness distribution across the orientation workspace. This implies that evaluating a manipulator's performance adequately requires assessing its ability to resist external loads during parasitic motion. Therefore, comprehending this aspect is crucial for redesigning components to enhance overall stiffness.

关键词： robot applications

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Comparative Study of Up-link Methods: O-FDMA vs. SC-FDMA in LTE Networks

Comparative Study of Up-link Methods: O-FDMA vs. SC-FDMA in ...

引用

2024 international conference on Intelligent Algorithms for Computational intelligence Systems, IACIS 2024

作者： Naik, Ashitha V Shreyas, M.S. Deekshith, S. Abhilash, B.U. Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350360660

Orthogonal Frequency Division Multiplexing Access(OF-DMA) is susceptible to interference in dense deployment scenarios. When several users transmit data simultaneously over the same frequency band, interference between subcarriers can occur, degrading the quality of service. An OF-DMA has a high peak-to-average-power ratio (PAPR) and managing PAPR is challenging for high power applications. Single Carrier Frequency Division Multiple Access (SC-FDMA) is an emerging approach for achieving high data rates and mitigating inter-symbol interference (ISI). Though, the high PAPR in OFDMA leads to signal distortion due to nonlinearity at the receiver's end. Therefore, SC-FDMA technology is used to compensate this issue. The 3rd Generation Partnership Project (3GPP) has implemented uplink communication in its next-generation cellular technology, known as Long-Term Evolution (LTE). The experiments are conducted for both SC-FDMA and OFDMA using PAPR and Bit Error Rate (BER) metrics. The results revealed that-the SC-FDMA has achieved the least PAPR and BER compared to OFDMA. © 2024 IEEE.

关键词： Long Term Evolution (LTE)

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Design and motion performance analysis of a soft-bodied robot with dual motion modes 3

Design and motion performance analysis of a soft-bodied robo...

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

作者： Li, Jiabao Qi, Yangjie Wang, Chengjun School of Artificial Intelligence Anhui University of Science and Technology Huainan232001 China School of Mechanical Engineering Anhui University of Science and Technology Huainan232001 China

ISBN: (纸本)9781510671867

In this study, a soft robot with dual movement modes was designed to address the problem of pneumatic soft robots having a "tail," limited movement, and a single movement mode. Inspired by the movement pattern of the catapult and the crawling gait of the tortoise, the design of the soft robot with dual movement modes was completed, including the crawling mechanism, jumping mechanism, and overall mechanism. For the crawling mechanism, a mathematical model of the deformation of the crawling drive was established using the Yeoh model and the principle of virtual work, and the factors affecting the deformation of the crawling drive were analyzed. The deformation of the crawling drive was simulated and analyzed using ABAQUS, and the relationship between air pressure, size of the drive, and deformation of the drive was investigated. For the jumping mechanism, the energy storage mechanism was analyzed in terms of energy storage and drive air pressure, and ADAMS was used to explore the jumping performance of the soft robot under different energy storage conditions for simulation analysis. The results revealed that the proposed design allows the robot to crawl and jump at the same time and removes the "tail" of the pneumatic soft robot, thereby improving its range of motion. © 2023 SPIE.

关键词： Energy storage

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