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检索条件"任意字段=5th International School on Advanced Functional Programming"

共 195 条记录，以下是21-30 订阅

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Synthesizing Multi-Modal Imaging for Enhanced Brain Mapping in Neurology: A State-of-the-art Review 5

Synthesizing Multi-Modal Imaging for Enhanced Brain Mapping ...

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5th IEEE international Conference on Communications, Information, Electronic and Energy Systems, CIEES 2024

作者： Kumar, Puranam Mohammad, thayyaba Khatoon Pramod Kumar, Aylapogu Kassym, Ruslan Tolegenova, A.S. Akmaral, Tlenshieva Malla Reddy University Dept. of AI & ML School of Engineering Hyderabad India CMR Engineering College Dept. of Artificial Intelligence and Machine Learning Hyderabad India Mukhametzhan Tynyshbaev ALT University Astana Kazakhstan S. Seifullin Kazakh Agrotechnical Research University Almaty Kazakhstan

ISBN: (纸本)9798350352863

Neuroimaging has significantly advanced our understanding of brain structure and function in both healthy and diseased states. However, due to the brain's complexity, a comprehensive approach involving multiple imaging techniques is necessary. this review provides an overview of the integration of various imaging modalities in neurology, particularly focusing on their applications in mapping the brain. It discusses how combining structural, functional, and molecular imaging methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and functional Magnetic Resonance Imaging (fMRI) allows for a more thorough examination of brain anatomy, connectivity, and understanding, thereby improving diagnosis and treatment effectiveness in neurological disorders. the review also explores recent progress in image acquisition, data fusion, and computational techniques that facilitate the integration of multimodal imaging data. Additionally, it examines emerging trends like machine learning and artificial intelligence, which offer potential for automating image analysis and identifying new disease biomarkers. Finally, by addressing challenges and future directions in the field, including the need for standardized protocols, initiatives for data sharing, and ethical considerations. © 2024 IEEE.

关键词： Positron emission tomography

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A DFT Study on Modified MoS2 for CO2 Gas Sensor 5

A DFT Study on Modified MoS2 for CO2 Gas Sensor

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5th international Conference on Electrical Engineering and Control Technologies, CEECT 2023

作者： Jia, Yonggang Wang, Yang Wang, Shaocong Zhang, Qiankai Zhou, Qinyan Yan, Wenchao Zhou, Jun Xi'an Polytechnic University School of Electronics and Information Xi'an710048 China Xi'an Jiaotong University State Key Laboratory of Electrical Insulation and Power Equipment Xi'an710048 China

ISBN: (纸本)9798350342253

the capture of CO2 is of paramount importance for mitigating the global climate change attributed to CO2 emissions. Existing CO2 capture and catalytic decomposition technologies are associated with elevated costs. In pursuit of more advanced materials, we have conducted a density functional theory investigation into CO2 adsorption on pristine and modified MoS2 surfaces. the outcomes reveal that Si-substituted doped MoS2 exhibits the most favorable adsorption performance, with an adsorption energy of -2.40eV and a CO2 electron loss of 0.01e. Intrinsic MoS2 exhibits an adsorption energy of -2.08eV, resulting in a CO2 electron gain of 0.02e. S-vacancy defective MoS2 demonstrates an adsorption energy of -2.10eV, leading to a CO2 electron gain of 0.03e. Computational results underscore the robust adsorption capability of Si-substituted doped MoS2, highlighting the viability of Si atom substitution as a means to enhance the adsorption properties of MoS2 for CO2 gas sensing and carbon capture applications. © 2023 IEEE.

关键词： Molybdenum compounds

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Research on Robot Path Planning Based on Artificial Potential Field Method 5

Research on Robot Path Planning Based on Artificial Potentia...

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5th international Conference on Artificial Intelligence and advanced Manufacturing, AIAM 2023

作者： Gong, Yang School of Mechanical Engineering Jinjiang College Sichuan University Sichuan Pengshan China

ISBN: (纸本)9781839539848

With the arrival of the new era, computer technology has also developed rapidly on the basis of electronic technology. the development of these technologies usually also supports the development and application of artificial intelligence technology. For example, applying artificial intelligence technology to the field of robot action path planning. In order to solve the problems of low efficiency and path errors encountered in robot path planning, this paper proposes a research method for robot path planning based on artificial potential field method. this method first constructs an environment map on a two-dimensional plane based on the motion environment of the robot, which includes all obstacle points and free points;then, based on the principle of artificial potential field algorithm, the MATLAB software environment is used for programming to implement the artificial potential field algorithm model;then set the relevant program running parameters to make the algorithm model run;Finally, two-dimensional and three-dimensional visualization charts are used to display the combined forces, midway search process, costs, and paths during the planning process. After 749 iterative searches, the system has planned a reasonable red path that meets the expected requirements and can be promoted for use. © the Institution of Engineering & Technology 2023.

关键词： Motion planning

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Care professionals' experience of deploying an original non-autonomous air-purification robot in residential care homes in Ireland and Japan 5

Care professionals' experience of deploying an original non-...

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5th international Congress on Human-Computer Interaction, Optimization and Robotic Applications, HORA 2023

作者： Kodate, Naonori Obayashi, Kazuko Maeda, Yurie Yu, Wenwei O'Shea, Diarmuid Sakata, Nobuhiro Suwa, Sayuri Masuyama, Shigeru School of Social Policy Social Work and Social Justice University College Dublin Dublin Ireland Nihon Fukushi University Mihama Japan Technological University Dublin Dublin Ireland Chiba University Center for Frontier Medical Engineering Chiba Japan St Vincent's University Hospital Dublin Ireland University of Yamanashi Kofu Japan Graduate School of Nursing Chiba University Chiba Japan Tokyo Medical University Tokyo Japan

ISBN: (纸本)9798350337525

the worldwide pandemic reemphasized the significance of care work and its sector, and the greater role that can be played by digital welfare technologies and autonomous machines. However, there remain challenges in the way of smooth implementation of new technologies such as robots into care settings, for example, the degree of acceptability, safety risks to care recipients and perceived usability by end users. In order to test and explore the process by which such a digital device would be perceived and adopted by care professionals in different cultures, an original non-autonomous air-disinfection robot was developed for our cross-boundary, proof-of-concept research. the robot was first developed and introduced in Ireland, and following the completion of its eight-week long trial, the same equipment was transferred to and used in Japan for eight weeks in 2022. Prior to its instalment in both locations, training was provided to seven main users (comprising physiotherapists, nurses and social care professionals) working full-time in each residential care home. Semi-structured interviews, observations and focus groups took place, with system usability scale questionnaires distributed before, during and after the trials. the findings suggest that the users had positive perceptions of the device and its usability. Human-robot interactions in two countries are compared. the adoption process demonstrated that additional efforts were required to transform a piece of functional equipment into an interactive and accessible robot for multiple users. the study indicates care professionals' needs and views concerning automation and human-robot interactions, as well as future opportunities for co-design, development and implementation of care robots. © 2023 IEEE.

关键词： Machine design

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Tuning the electronic and optical properties of BaNiO3via Fe substitution: a first-principles study 5

Tuning the electronic and optical properties of BaNiO3via Fe...

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5th international Conference on advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2022

作者： Liu, Jingjing Zhang, Sa Xiao, Haiyan Qiao, Liang University of Electronic Science and Technology of China School of Physics Chengdu610054 China Huzhou313001 China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

the hexagonal BaNiO3 is a novel ferroelectric material for potential photovoltaic applications. the literature about the electronic and optical properties for the BaNiO3 is scarce. this study, based on density functional theory calculations, demonstrates that with Ni-site elemental substitution, the hexagonal BaNiO3 can exhibit a much lower fundamental band gap than that of the pristine material. Cation atomic size and electronegativity, are evidenced as critical parameters to tailor the metal 3d-oxygen 2p orbital interactions and thus intrinsically modify the electronic structure, particularly the shape and character of the valence and conduction band edges. With the reduced band gap and uncompromised ferroelectric and magnetic ground states, the present results provide a new strategy to design the BaNiO3 for efficient optoelectronic applications. © 2022 IEEE.

关键词： Barium compounds

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Using a Compositional Function Hybridization of GCDPSO and GA to Solve Task Allocation Problems in Smart Farms 5

Using a Compositional Function Hybridization of GCDPSO and G...

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5th international Conference on Computing and Big Data, ICCBD 2022

作者： Xu, Minzhi Li, Weidong Zhang, Xuejie School of Information Science and Engineering Yunnan University Kunming China School of Mathematics and Statistics Yunnan University Kunming China

ISBN: (纸本)9781665457163

Compared with cloud computing, edge computing has the advantages of low latency, reduced network pressure and network risk. As a result of its development, smart farms have also started to shift from cloud services-oriented to edge computing-oriented, which is to put the tasks of smart farms on edge servers. For some reasons, such as energy limitation, the number of tasks that the edge server can handle is limited in a period of time, so some tasks still need to be processed by the cloud server. When these tasks need to be processed not only by edge servers but also by cloud servers, they need to be divided into two parts, one part which requires as much cloud processing cost as possible is processed on the edge server, and the other part which requires as little cloud processing cost as possible is processed on the cloud server. In our model, task is divisible. To solve this task assignment problem, this study considered a functional composition integration approach, Hybridization of GCDPSO and GA (HGAGCDPSO), where GCDPSO is Guaran-teed Convergence Discrete Particle Swarm Optimization and GA is Genetic Algorithm. In this paper we compares HGAGCDPSO performance with GCDPSO, Greedy Algorithm and Dynamic programming. Results revealed that the overall performance of HGAGCDPSO is better than the other three algorithms. © 2022 IEEE.

关键词： Genetic algorithms

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AI Empowerment in STEM Education: Developing in Youth advanced Computational Techniques for Hypothesis Generation, Problem Recognition and Solution Crafting 5th

AI Empowerment in STEM Education: Developing in Youth Advanc...

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5th international Conference on Advances in Information Communication Technology and Computing, AICTC 2024

作者： Shamanova, Oxana Zhylysbayeva, Akkongyr Yerbolova, Aiym Kumar, Bhupendra Tripathi, Sudhanshu Nazarbayev Intellectual School of Physics and Mathematics Shymkent Kazakhstan Auezov South Kazakhstan State University Shymkent Kazakhstan AEO Nazarbayev Intellectual Schools Astana Kazakhstan Salford University Manchester United Kingdom Amity University Tashkent Uzbekistan

ISBN: (纸本)9789819761050

this article describes methods that were used in 10th grade to solve problems associated with the fact that students receive more theoretical knowledge and do not know how to apply it in practice. In implementation, STEM education in the learning and teaching process helps develop students’ research skills, such as making scientific hypotheses, identifying and solving problems. We chose this particular parallel, since students aged 16–17 have sufficient knowledge to analyze and evaluate information in order to put forward theories and implement them in practice. this is also relevant for the students themselves, because they already need to decide on their future profession, and practical tasks aimed at solving various life situations contribute to the development of the necessary skills. To develop these skills in students, we used STEM teaching methods, such as posing a problematic question, putting forward hypotheses, conducting experiments, conducting our own research, analyzing and evaluating the data obtained, reflection and working to improve results. the implementation of these methods in our pedagogical practice showed the effectiveness of their application because it could be noticed that the students had more pronounced skills described above, which were assessed by design work, some of which even took places in scientific project competitions at various levels. During the lessons, students began to ask high-order questions, put forward hypotheses, determine the most correct ones, and justify their choice. Students also began to independently identify problems and propose solutions, arguing why this particular solution is the most optimal. Along with this, future graduates are required to have knowledge of functional and information literacy, which the use of STEM teaching methods helps develop. thus, we came to the conclusion that the use of STEM teaching methods in the classroom helps not only to integrate subject knowledge in mathematics, physics, biol

关键词： Students

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Application of Magnetic Rotating thermal Plasma Method in Solid Waste Treatment of Fly Ash 5th

Application of Magnetic Rotating Thermal Plasma Method in So...

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5th international Symposium on Plasma and Energy Conversion, iSPEC 2023

作者： Wang, Ge Zhou, Cheng Li, Yong Cong, Yuntian Kong, Chuncai Yang, Zhimao Wang, Baojun Wu, Peng Ding, Fenglin Beijing Institute of Control Engineering Beijing100190 China Ministry of Education Key Laboratory for Non-Equilibrium Synthesis and Modulation of Condensed Matter Shaanxi Province Key Laboratory of Advanced Functional Materials and Mesoscopic Physics School of Physics Xi’an Jiaotong University Xi’an710049 China

ISBN: (纸本)9789819722440

Fly ash is a hazardous solid waste. After plasma treatment, heavy metals are transferred to glassy slag, greatly reducing the leaching rate of heavy metals and achieving the goal of eliminating the toxicity of fly ash. this article conducted a 100 kW plasma incineration fly ash melting experiment in a low vacuum system. the experimental material is the fly ash and the mixture of fly ash and sludge, and the plasma source is a magnetic rotating thermal plasma (MRTP) device., the medium gas is argon, which can make the test object reach a melting temperature exceeding 1500°C within 2 min. the experimental results indicate that the solid waste treated with MRTP presents an opaque vitreous state. Randomly selected experimental samples were tested for element content in the mixture of vitreous water/acid leaching. the results showed that the leaching toxicity after treatment was much lower than the standard limit specified in GB/T41015-2021 "Technical Requirements for Solid Waste Vitrification Treatment Product". © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Toxicity

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Design of Perception Layer for Monitoring System in Intelligent Animal Husbandry 5

Design of Perception Layer for Monitoring System in Intellig...

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5th international Conference on High Performance Big Data and Intelligent Systems, HDIS 2023

作者： Chang, Qianjun Gao, Wanlin Zhou, Weixin Key Laboratory of Agricultural Informatization and Standardization Ministry of Agriculture and Rural Affairs China Agricultural University China College of Information and Electrical Engineering China Agricultural University Beijing100083 China AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798350394160

Due to a number of safety incidents caused by poor quality meat and dairy products in recent years, consumers have a serious crisis of trust in China's animal husbandry products, which is in urgent need of solutions. the corresponding problem is perfectly solved by the intelligent animal husbandry program proposed by our country. In intelligent animal husbandry, a monitoring system based on sensor technology is advocated to monitor the environmental information of livestock and the health information of individual livestock in real time. the system can ensure food safety through actual monitoring data and increase consumer trust in food. In recent years, the function of the monitoring system on the market is not perfect, so it is necessary to design a fully functional sensing layer. A fully functional sensing layer can enhance the credibility of the monitoring system data, and a variety of sensor devices in the sensing layer provide accurate data for the adjustment of the growing environment of livestock and the prevention and treatment of livestock diseases, thereby reducing the loss of farmers. At the same time, it helps farmers to improve breeding efficiency and reduce the burden of farmers, which plays an important role in the development of animal husbandry. ©2023 IEEE.

关键词： Animals

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Scalable Convolutional Neural Network Inference on-the-Edge using Low-Density FPGAs 5

Scalable Convolutional Neural Network Inference on-the-Edge ...

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5th international Conference on advanced Research in Computing, ICARC 2025

作者： Suraweera Arachchige, Udara Ranabahu S A Susantha Wijesinghe, W.A. Liverpool John Moores University School of Engineering Liverpool United Kingdom Wayamba University of Sri Lanka Faculty of Applied Sciences Kuliyapitiya Sri Lanka

ISBN: (纸本)9798331530983

Machine learning (ML) inference-based applications are often considered to be computationally expensive and power exhaustive, restricting useful deployment in low-power use cases. To take advantage of ML in power-constrained edge environments, it is critical to reduce the power consumption and increase the overall efficiency, while aiming for performance *** present a characteristics study of a low-powered implementation of ML inference focused on-the-edge, aiming for increased efficiency and predictive cost estimation. A scalable inference accelerator architecture for Convolutional Neural Networks (CNNs) consisting of simple functional blocks was developed at Register-transfer Level (RTL) using Verilog® Hardware Description Language (HDL), and was verified at RTL-level verification using RTL testbenches. the integrated system went through functional verification against a predefined golden model, while being optimized for precision and logic *** accelerator was then converted into a fully-parameterized Reconfigurable FPGA IP with additional purpose-built custom debugging glue logic;and validated on FPGA hardware. the system showed a minimum of 740 times acceleration factor during recorded performance evaluations. © 2025 IEEE.

关键词： Convolutional neural networks

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