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The Problems and Analysis of Artificial Intelligence Specialty Construction in Universities Under the Present Situation of Artificial Intelligence Development 8th

The Problems and Analysis of Artificial Intelligence Special...

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8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022

作者： Fu, Weina Liu, Shuai Institute of Information Science and Engineering Hunan Normal University Hunan Changsha410081 China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Changsha410081 China

ISBN: (纸本)9783031211638

China’s independent innovation ability in the field of artificial intelligence is a key link to occupy the commanding heights of future science and technology and talent competition. The cultivation of artificial intelligent talents is crucial to promote the development of the artificial intelligent industry. There is a large demand for artificial intelligence talents in the market, but the development of artificial intelligence in colleges and universities is still faced with many problems, such as the construction of related disciplines and majors has just started, the strength of artificial intelligence teachers in colleges and universities is weak, the talent training is mainly based on postgraduate education and the education system is not perfect. This paper analyzes the current cultivation situation of artificial intelligence major in undergraduate colleges and vocational colleges, points out the shortcomings in the construction of artificial intelligence major, and gives some suggestions. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Personnel training

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Food computing for Nutrition and Health

Food Computing for Nutrition and Health

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International Conference on Data Engineering Workshops

作者： Shuqiang Jiang Institute of Computing Technology Chinese Academy of Sciences Key Laboratory of Intelligent Information Processing Beijing University of Chinese Academy of Sciences Beijing

ISBN: (数字)9798350384031

ISBN: (纸本)9798350384048

Dietary intake is the main source of human nutrition and thus an important material foundation for maintaining human health. Food computing applies computational approaches to intelligently obtain dietary categories, ingredients, and nutrient intake from dietary data, and then provides dietary recommendations to users based on various dietary factors. Therefore, it can achieve intelligent dietary management to assist in solving human health issues. For its significant impact on human health, it has received more attention from both academia and industry, and has made rapid development, especially with the booming Artificial Intelligence (AI). This talk will first introduce the definition, methods, tasks and applications of food computing. Then we will discuss its various tasks, ranging from vision-based multi-granularity food analysis, multimodal recipe analysis, food knowledge graph construction and dietary recommendation. Finally, we will point out future research directions on food computing, such as large food language/multimodal models and the emerging interdisciplinary field AI4Food from the synergy between AI and food science. We expect that this talk will provide the researchers with a more comprehensive understanding of the field, and provide perspectives for the next wave of development in this rapidly growing field.

关键词： Industries Conferences Computational modeling Knowledge graphs Data engineering Distance measurement Artificial intelligence

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Research on A Multimodal Fusion Intention Understanding Algorithm for Geriatric Carer Robots 2

Research on A Multimodal Fusion Intention Understanding Algo...

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2nd International Conference on Computer Graphics, Image and Virtualization, ICCGIV 2022

作者： Li, WeiNa University of Jinan School of Information Science and Engineering Jinan250022 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing Jinan250022 China

ISBN: (纸本)9781665492508

In the large application background of man-machine collaboration, the elderly are easy to lose direction or can't understand the map. When aging users express their intentions to robots, due to ambiguous language or incorrect gestures, robots may have a variety of intentions to understand and analyze. In this paper, an optimization algorithm model is proposed to avoid robot misunderstanding, which can choose the best intention among various kinds of intention understanding, and perform user feedback evaluation on the output intention, so as to understand the real intention of the user. In view of the traditional serial analysis of user behavior in multimodal fusion algorithm limitations, this paper puts forward the algorithm of model through voice recognition and image recognition input information user behavior, care layer parallel fusion user intent from the voice channel and the visual channel, use the feedback mechanism to determine the true intentions of the user from the user's intent to complete robot navigation links. © 2022 IEEE.

关键词： Speech recognition

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An Analysis on the Training Mode of Master Students in Artificial Intelligence Field for Electronic information Professional Degree—Take Hunan Normal University as an Example 8th

An Analysis on the Training Mode of Master Students in Artif...

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8th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2022

ISBN: (纸本)9783031211638

The ability of independent innovation in the field of artificial intelligence is a key element to occupy the commanding heights of future technology and talent competition in China. The cultivation of artificial intelligence talents, especially the cultivation high-end talent, it is essential to promote the development of artificial intelligence industry. At present, the market for artificial intelligence talents is in great demand. There is a shortage of high-end artificial intelligence talents, the weak strength of artificial intelligence teachers in universities, and the incomplete education system for talent training and many other issues. This paper combines some measures taken by Hunan Normal University for graduate students in the field of artificial intelligence in the degree of electronic information, the necessity and feasibility of artificial intelligence training senior talents are discussed for social needs in the field of artificial intelligence, The training goals and methods of postgraduate students in the field of artificial intelligence under the professional category of electronic information major are clarified, and the construction of artificial intelligence field is planned. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Professional aspects

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HAMILTONIAN PROPERTIES OF HYBRID-FAULTY BURNT PANCAKE GRAPHS

arXiv

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arXiv 2024年

作者： Zhu, Hongyi Deng, Qingying Key Laboratory of Intelligent Computing and Information Processing of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China

We investigate the combined occurrence of edge faults and vertex faults in the burnt pancake graph (BPn). In this paper, we prove that BPn−F, where F includes pairs of end-vertices of matching edges and fault-tolerant edges, contains a Hamiltonian cycle when |F| ≤ n−2 and a Hamiltonian path when |F| ≤ n−3. This establishes that BPn is (n − 2)-hybrid fault Hamiltonian and (n − 3)-hybrid fault Hamiltonian connected for n ≥ 3. These results are demonstrated to be optimal under the given conditions, with all bounds shown to be tight. Copyright © 2024, The Authors. All rights reserved.

关键词： Hamiltonians

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Research on Blockchain-based Access Control Technology for Medical Data 4

Research on Blockchain-based Access Control Technology for M...

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4th International Conference on Blockchain Technology and information Security, ICBCTIS 2024

作者： Li, Yan Zhang, Guofeng Feng, Bin Yang, Shihao Zhao, Chuan Wang, Peng Shen, Cong Zhang, Yanan School of Information Science and Engineering University of Jinan Shandong Jinan250022 China School of Information Science and Technology Taishan University Shandong Taian271000 China Shandong Provincial Key Laboratory of Network-based Intelligent Computing Shandong Jinan250022 China College of Electronic Information Shandong Xiandai University Shandong Jinan250104 China

ISBN: (纸本)9798331528324

Medical data sharing can provide secure, trust-worthy and high-quality health care services to a wide range of patients and healthcare providers, but the data sharing process faces the risk of identity and information security leakage. This study begins by examining access control technologies for health data sharing, emphasizing the analysis of blockchain-based solutions for securing various types of medical data. It reviews and assesses the current state of these technologies across four dimensions-attributes, signatures, roles, and multi-smart contracts-and further develops a blockchain-based system for controlling access to medical data. Finally, it summarizes and analyzes the challenges faced by medical data sharing, and provides an outlook on the future development of the technology. This study is of great sig- nificance in guiding the deep integration of blockchain technology and medical digitization, and guaranteeing the secu-rity of medical data throughout its life cycle. © 2024 IEEE.

关键词： Electronic health record

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An Image Enhancement Method for Domestic High-Resolution Remote Sensing Satellite 23

An Image Enhancement Method for Domestic High-Resolution Rem...

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6th International Conference on Big Data Technologies, ICBDT 2023

作者： Wang, Can Liu, Kun Shi, Jiechuan Yuan, Hao Wang, Weiwei School of Information Science and Engineering University of Jinan Jinan250024 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan250022 China QiLu Research Institute Jinan250024 China

ISBN: (纸本)9798400707667

Remote sensing images have important applications in many fields, but these images are often disturbed by noise, which will affect the subsequent application. Based on Gaussian noise removal of remote sensing images, this paper compares four deep learning image denoising algorithms, namely MPRNet, CBDNet, NAFNet and *** use the remote sensing image data set from Shandong Data and Application Center of National High Resolution Earth Observation System, and simulate the real application scenario by slicing and adding noise. Algorithm evaluation indexes PSNR and SSIM are used to compare the performance of each algorithm. In the experiment, we find that NAFNet has better effect on Gaussian noise removal than other algorithms. The main research results are to verify the effect of four algorithms on specific data sets, and summarize their advantages and disadvantages, so as to provide a reference for the application of image denoising algorithms. In addition, this paper is characterized by the use of remote sensing data set to analyze the specific scenario, which has a certain contribution to the research in this *** significance of this paper is to provide a more accurate and efficient algorithm for remote sensing image denoising to solve the interference of Gaussian noise to remote sensing image processing. In short, through the research in this paper, we found that NAFNet had the best effect on image Gaussian noise removal in the remote sensing data set in this paper, and its PSNR reached 28.49 and SSIM reached 0.9928. Among them, PSNR is an index to evaluate image quality, and the higher the value, the better the image quality. It is more conducive to the subsequent target detection of the image;SSIM is an index to measure image similarity. The larger the SSIM value is, the more similar the de-noised image is to the original image, indicating that the image retains the features of the original image to a great extent, and the subsequent target detection

关键词： Image enhancement

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Cross-chain Architecture of Blockchain Integrating Notary Mechanism and Relay-chain Technology 4

Cross-chain Architecture of Blockchain Integrating Notary Me...

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4th International Conference on Blockchain Technology and information Security, ICBCTIS 2024

作者： Yang, ShiHao Zhang, GuoFeng Feng, Bin Li, Yan Zhao, Chuan Wang, Peng Shen, Cong Zhang, YaNan School of Information Science and Engineering University of Jinan Shandong Jinan250022 China School of Information Science and Technology Taishan University Shandong Taian271000 China Shandong Provincial Key Laboratory of Network-based Intelligent Computing Shandong Jinan250022 China College of Electronic Information Shandong Xiandai University Shandong Jinan250104 China

ISBN: (纸本)9798331528324

Due to the independent nature of Blockchain systems in different organizations, data sharing and asset transfer between these Blockchain systems face extreme challenges. The phenomenon of data silos is gradually emerging, and Blockchain cross chain technology provides important technical support for bridging data silos, achieving interoperability and data sharing between Blockchains. The focus of this article is on the systematic study and comparison of four widely used cross-chain technologies and platforms, and designs a Blockchain cross-chain architecture that integrates notary and relay chain technologies based on the analysis results. Compared with using a single notary mechanism or a single relay cross-chain technology, it has better scalability, stronger customization, and higher security. This work has a certain promoting effect on the development of cross chain technology. © 2024 IEEE.

关键词： Blockchain

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A U-shape Compensation Structure for Differential-to-Common Mode Conversion Noise Suppression in 90°-Bended differential Line 13

A U-shape Compensation Structure for Differential-to-Common ...

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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： He, Zhikang Zhu, Haoran Anhui Province Anhui University Information Materials and Intelligent Sensing Laboratory Hefei230039 China Anhui University Ministry of Education Key Lab of Intelligent Computing and Signal Processing Hefei230039 China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

a U-shaped structure, based on the equivalent lumped circuit of differential transmission line, is proposed to suppress the noise of differential-common-mode conversion. With the equivalent lumped circuit, the cause of mode conversion noise is analyzed. The U-shaped structure has reached the suppression level of 24.31 dB from DC to 10 GHz according to the simulated result. © 2022 IEEE.

关键词： Electric lines

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An Energy-Efficient Virtual Machine Placement Algorithm Based on Improved Grouping GA

An Energy-Efficient Virtual Machine Placement Algorithm Base...

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IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

作者： Taisheng Zeng Xiaodong Wu School of Mathematics and Computer Science Quanzhou Normal University Fujian Provincial Key Laboratory of Data-Intensive Computing Key Laboratory of Intelligent Computing and Information Processing Fujian Province University Quanzhou China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040

Virtual machine placement (VMP) plays a crucial role in optimizing the efficiency and sustainability of data centers. By consolidating virtual machines (VMs) onto fewer physical machines (PMs), VMP can significantly reduce power consumption and enhance resource utilization. This not only leads to cost savings but also contributes to environmental sustainability by minimizing energy waste. This paper focuses on addressing the energy-efficient VMP problem, which is critical for modern data centers aiming to balance performance and energy consumption. To tackle this challenge, we propose an improved group-based genetic algorithm (GGA). The GGA employs a novel grouping approach to encode chromosomes, allowing for more effective representation of VM-to-PM assignments. Additionally, optimized crossover and mutation operators are designed to improve the algorithm's performance, ensuring faster convergence and better solutions. Experimental results demonstrate that the proposed algorithm outperforms traditional algorithms in terms of energy-saving efficiency and convergence speed.

关键词： Data centers Power demand Virtual machines Energy efficiency Resource management Sustainable development Biological cells Optimization Genetic algorithms Convergence

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