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检索条件"任意字段=Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education"

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Analysis on the co-movement effect between sectoral linkage and economic growth of agriculture in Fujian Province based on input-output model

Analysis on the co-movement effect between sectoral linkage ...

引用

2022 International conference on Advanced Algorithms and Neural Networks, AANN 2022

作者： Weiwei, Fu Minyue, He Peifen, Zhuang College of Economics and Management College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China College of Computer and Information Sciences Fujian Agriculture and Forestry University Fuzhou China College of Economics and Management Research Center for the South Pacific Island Countries Fujian Agriculture and Forestry University Fuzhou China

ISBN: (纸本)9781510655751

Based on the input-output model, this paper calculates the direct input coefficient, total input coefficient, influence coefficient and sensitivity coefficient to analyze the current sectoral linkage of agricultural in Fujian Province, and establish a simultaneous equation model to study the co-movement effect between sectoral linkage and economic growth of agriculture by using the Eviews software. The results show that most of the sectors with close forward and backward linkage of agriculture are labor-intensive sectors in Fujian Province. The pulling effect of agriculture on other sectors is very limited. The backward linkage of agriculture and agricultural economic growth promote each other, and the economic effect of backward linkage is greater than that of forward linkage of agriculture in Fujian Province. © 2022 SPIE.

关键词： Agriculture

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An Offline Assistance Tool for Visually Impaired People Based on Image Captioning

An Offline Assistance Tool for Visually Impaired People Base...

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2022 IEEE International conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Guo, Yu Chen, Yue Xie, Yuanyan Ban, Xiaojuan Obaidat, Mohammad S. University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China University of Science and Technology Beijing Shunde Innovation School Foshan China School of Intelligence Science and Technology University of Science and Technology Beijing Beijing China Institute of Artificial Intelligence University of Science and Technology Beijing Beijing China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing China King Abdullah Ii School of Information Technology University of Jordan Amman Jordan Amity University UP Noida India

ISBN: (纸本)9781665468190

Eye defects of visually impaired people bring great inconvenience to daily lives. With the rapid development of computers and artificial intelligence, some assistance tools and wearable devices have provided convenience to a certain extent, but they still possess many shortcomings, such as high prices, limited functionality, poor real-time performance, the inability to be used offline and so on. This paper designs an offline assistance tool specifically for visually impaired people that can help them perceive their surrounding environments by taking photos and reading the descriptions output by an image captioning model. Considering that the photos taken by visually impaired people may be incomplete, an improved image stitching method based on a genetic algorithm is proposed to obtain high-quality stitched images as the inputs of the image captioning model. An improved model pruning algorithm is also designed to compress and accelerate the image captioning model to meet the offline and real-time deployment requirements of portable devices. Experimental results and a practical tool show that the developed system based on an image captioning model and pruning can quickly and accurately describe environments, thus assisting visually impaired people anytime and anywhere. © 2022 IEEE.

关键词： Genetic algorithms

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20th International conference on Advances in Web-Based Learning, ICWL 2021

20th International Conference on Advances in Web-Based Learn...

引用

20th International conference on Advances in Web-Based Learning, ICWL 2021

ISBN: (纸本)9783030907846

The proceedings contain 17 papers. The special focus in this conference is on Advances in Web-Based Learning. The topics include: Security and Privacy in E-learning;digitalization of Firm’s innovation Process - A Bibliometric Analysis;entrepreneurship education and E-Learning in the Greater Bay Area of China;Design and Implementation of Learning System Based on T-LSTM;situational Awareness of E-learning System Based on Cyber-Attack and Vulnerability;research on Cross-Project Software Defect Prediction Based on Machine Learning;research on Teaching Reform of Digital Media technology Under the Background of New Engineering Course Construction;scaffolding Teacher Learning During Professional Development with Theory-Driven Learning Analytics;imPres: An Immersive 3D Presentation Framework for Mixed Reality Enhanced Learning;designing a Virtual Learning Environment Based on a Learner Language Corpus;is This Fake or Credible? A Virtual Learning Companion Supporting the Judgment of Young Learners Facing Social Media Content;extending Narrative Serious Games Using Ad-Hoc Mini-games;supplemental Mobile Learner Support Through Moodle-Independent Assessment Bots;exploring the Innovative Blockchain-Based Application of Online Learning System in University;experiential E-Learning: A Creative Prospect for education in the Built Environment?.

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Application research of handwritten Chinese character recognition based on mobile platform self-built font library

Application research of handwritten Chinese character recogn...

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2023 International conference on Optics and Machine Vision, ICOMV 2023

作者： Nie, Yu Huang, Chuanlu Huang, Na Li, Chao Zhang, YiLai Huang, WenJing Zhao, Yan Tang, Min School of Information Engineering Jingdezhen Ceramic University Jiangxi Province Jingdezhen City333403 China Guangdong Songfa Ceramics Co. Ltd. Guangdong Chaozhou521031 China Software Engineering Department Jiangxi Vocational and Technical College of Information Application Jiangxi Province Nanchang City330043 China Tourism Business College Jingdezhen Vocational University of Art Jiangxi Province Jingdezhen City333000 China

ISBN: (纸本)9781510664777

This paper uses the jTessBoxEditorFX combined with the Tesseract-OCR to complete a handwritten font library with nearly 2,500 Chinese characters, and completes the program development on the server and mobile terminals. The application realizes the recognition of Chinese handwritten Chinese characters on the mobile terminal. The mobile application provides a construction method for application scenarios and font libraries. © 2023 SPIE. All rights reserved.

关键词： computer terminals

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Standardized assessment of rock climbing movements based on posture recognition 4

Standardized assessment of rock climbing movements based on ...

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4th International conference on computer Vision and Pattern Analysis, ICCPA 2024

作者： Yi, Tong Tan, Guangxing Tang, Tiannan Jin, Yangying Zhang, Dawei School of Automation Guangxi University of Science and Technology Guangxi Zhuang Autonomous Region Liuzhou China

ISBN: (纸本)9781510682528

Aiming at the improper rock climbing movements may cause sports injuries, and the traditional sports motion capture analysis method is insufficient in real time, the accuracy of movement evaluation is low and other problems, this paper applies the pose recognition technology to rock climbing, and researches on the recognition and standard degree evaluation of rock climbing movements. Firstly, a rock climbing action detection algorithm based on improved YOLOv8-Pose is proposed, MobileNetV3 is used as the backbone feature extraction network of the model to realize the lightweight of the model, and the attention mechanism CBAM module is introduced to pay attention to the important channel information in the network, so that more effective feature information can be extracted from the channel and spatial dimensions, and the model recognition accuracy can be improved;then, for the the characteristics of rock climbing action, eight joint angle indicators are selected, and the degree of standard rock climbing action is evaluated using action similarity. Experiments show that: the size of the improved detection model in this paper is reduced by44.07%compared with the original model, and the number of parameters is also reduced by51.54%, and the results have a better differentiation when comparing the standard action and the action to be tested by using the action similarity, thus verifying the effectiveness of the algorithm. Thus, the validity of the algorithm is verified. © 2024 SPIE.

关键词： Rock mechanics

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Research on Mental Robot Based on Knowledge Graph 6

Research on Mental Robot Based on Knowledge Graph

引用

6th International conference on computer Network, Electronic and Automation, ICCNEA 2023

作者： Han, Mingxu Wei, Huimei Li, Yao Li, Jingyu Ma, Siqi Dalian Institute of Science and Technology School of Information Science and Technology Dalian China

ISBN: (纸本)9798350305388

Psychological counseling is one of the effective ways to solve psychological problems at present, and psychological counseling robot as a new interactive dialogue system tool (dialogue system refers to the system of dialogue with users through natural language processing) has significant research significance. In this paper, a psychological counseling robot based on natural language processing is developed by using Rasa framework and database Neo4j. The robot can assist users in psychological counseling, and help users better understand relevant knowledge by generating knowledge maps. Moreover, the psychological counseling robot has better semantic understanding ability and richer knowledge base. Aiming at the problem of low dialogue quality existing in functional components of Rasa framework, this paper analyzes the causes of this problem, and puts forward the corresponding algorithm model optimization and function improvement methods. In order to solve the problem of Chinese word recognition, the method based on rule template is used to improve the word recognition. In order to solve the problem of low accuracy of action prediction in dialogue management module, this system uses the cyclic neural network (RNN) model to improve the accuracy of action prediction. By constructing a sequence mapping model based on RNN, the original input was changed from sparse word vector to dense word vector, and experiments were designed to explore the key parameters affecting the experimental results, and then compared with the full-Text retrieval model. Experimental results show that the answers generated by the model are about 10% more reasonable than those retrieved based on other similar models (e.g., Lucene). © 2023 IEEE.

关键词： Semantics

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Direct Generation of Tool Axis Vector for Multi-axis NC Machining of Mesh Surface 3

Direct Generation of Tool Axis Vector for Multi-axis NC Mach...

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3rd International conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

作者： Wen, Hao Zou, Weiquan Liu, Yingjie School of Mechanical Engineering Guangdong Polytechnic of Science and Technology Zhuhai519090 China

ISBN: (纸本)9781665417327

In many industrial fields, the triangular mesh had replaced the original CAD models for their simplicity and efficiency. The mesh surfaces have been widely used in the direct machining for the industrial needs. Compared with the general machining methods, the multi-axis machining can achieve the better curved surface processing effect. However, the tool axis vector cannot be accurately obtained from the mesh surface, and the multi-axis NC machining cannot be implemented directly and effectively. Base on the method that the tool axis vector perpendicular to the part, this paper proposes use the normal vector of the facet to approximatively substitute the tool axis vector and achieve the multi-axis NC machining of the mesh surface. To obtain the normal vector of the facet, the operations include facet data acquisition, regenerated triangles area calculation, selected facet judgement and extract the normal vector are introduced. And the proposed method is verified by computer programming and running in IDEL. This method will be benefit of the multi-axis NC machining of the mesh surface and solve the problem of tool axis vector generation. © 2021 IEEE.

关键词： Data acquisition

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An Algorithm Based on Local Search for Solving Energy-efficient Distributed Blocking Flowshop Problems with Sequence-dependent Setup Times 5

An Algorithm Based on Local Search for Solving Energy-effici...

引用

5th Asian conference on Artificial Intelligence technology, ACAIT 2021

作者： Han, Xue Wang, Yuting Han, Yuyan Liu, Yi-Ping Sang, Hongyan Liaocheng University School of Computer Science Liaocheng China Hunan University College of Computer Science and Electronic Engineering Changsha China

ISBN: (纸本)9781665426305

With the development of production levels, industrial production patterns have evolved from single factories to multiple factories, resulting in distributed production patterns. Meanwhile, the introduction of sustainable development strategies has led to an increasing focus on environmental protection and resource conservation. As a result, research into distributed problems with the aim of reducing energy consumption has attracted the attention of researchers. In some research, the blocking constraint was added to the distributed permutation flow shop problem, and the distributed blocking flowshop scheduling problem (DBFSP) was proposed. In this paper, we add sequence dependent setup times (SDST) to this and investigate DBFSP_SDST with the objective of minimizing energy consumption. An algorithm based on local search (ABL) is proposed according to the features of energy-efficient DBFSP_SDST. Combining the MM algorithm with NEH2_en, the MM_en strategy is proposed to generate good initial solutions. A local search strategy with random selection is proposed to increase the diversity of solutions and further improve the performance of the algorithm. The proposed algorithm is compared with the best existing algorithms. The simulation experimental results show that the ABL algorithm outperforms other compared algorithms. © 2021 IEEE.

关键词： Energy utilization

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GraphMal: A Network Malicious Traffic Identification Method Based on Graph Neural Network

GraphMal: A Network Malicious Traffic Identification Method ...

引用

2023 International conference on Networking and Network Applications, NaNA 2023

作者： Zhang, Lei Shi, Huiling Zhang, Kuichao Sun, Hongyang Zhang, Wei Qilu University of Technology Shandong Academy of Sciences Shandong Provincial Key Laboratory of Computer Networks Shandong Computer Science Center National Supercomputer Center in Ji'nan Shandong Ji'nan China

ISBN: (纸本)9798350327380

Detecting malicious attacks in normal network traffic is critical to network security. Traditional traffic identification methods often struggle to capture the complex communication patterns in network traffic, hindering their effectiveness. We introduce GraphMal, a framework utilizing Graph Neural Networks (GNNs) for the identification of malicious traffic. This approach effectively exploits network topology and traffic characteristics to improve performance. We first apply Pearson's correlation coefficient and random forest approaches to effectively reduce the dimensionality of the dataset. Then, the E-GraphSAGE algorithm is used to extract salient features from the traffic topology graph and construct a robust graph classifier. Additionally, the focal loss function is used to solve the data imbalance problem. Experiments conducted on the UNSW-NB15 dataset demonstrate GraphMal's remarkable performance in both binary and multi-class classification tasks, while improving the learning efficiency of GNNs. © 2023 IEEE.

关键词： Network security

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TFSWA-UNet: Temporal-Frequency and Shifted Window Attention Based UNet for Music Source Separation

TFSWA-UNet: Temporal-Frequency and Shifted Window Attention ...

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2024 International conference on Culture-Oriented science and technology, CoST 2024

作者： Yao, Zhenyu Su, Yuping Yang, Honghong Wu, Xiaojun Zhang, Yumei Shaanxi Normal University Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism School of Computer Science Xi'an China Key Laboratory of Modern Teaching Technology Ministry of Education Xi'an China Key Laboratory of Intelligent Computing and Service Technology for Folk Song Ministry of Culture and Tourism Xi'an China

ISBN: (纸本)9798350380347

The performance of music source separation (MSS) has been greatly improved in recent years due to the rapid development of various neural network architectures. Spectrogram features are widely used in MSS tasks which consists of both time and frequency information. However, the time and frequency correlations and the local patterns of spectrogram have not been fully explored. In this paper, we propose a novel U-Net architecture named TFSWA-UNet in which a temporal-frequency and shifted window attention (TFSWA) based block is designed as bottleneck block. In the proposed TFSWA block, time sequence attention (TSA) block and frequency sequence attention (FSA) block are used to capture the global correlation of music spectrogram features within time and frequency sequences respectively. To further capture the local correlations of spectrogram features, shifted window attention based Swin transformer is also introduced into the TFSWA module, which computes self-attention within local non-overlapping windows and capture correlations from both temporal and frequency dimensions. Experiment results on MUSDB18 dataset indicate that the proposed TFSWA-UNet model outperforms the state-of-the-art MSS methods with SDR of 9.16dB on vocals. © 2024 IEEE.

关键词： Spectrographs

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