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检索条件"任意字段=2023 International Conference on Computer Science and Automation Technology, CSAT 2023"

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The Art System of Picture Composition Based on computer Video Processing technology 2

The Art System of Picture Composition Based on Computer Vide...

引用

2nd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Qiu, Shan Wang, Ning Zibo Technician College Shandong China

ISBN: (纸本)9798350347456

With the development of science and technology and the renewal of media means in the era of cultural industry, electronic media develops rapidly, video image technology with digital realization as the carrier develops rapidly, and gradually becomes an independent art form, which indicates the arrival of a new type of art. The purpose of this paper is to study the picture composition art system based on computer video processing technology. From the picture composition art overview to the introduction of basic knowledge of computer science, and then to the main technology of computer video processing, summed up the coordinate space and its transformation, geometric transformation technology of graphics and other knowledge. This paper mainly analyzes the program flow of picture composition art system and modern geometric composition law module, and introduces the application of video frame in image processing. The real-time performance and effect of the system are tested. When processing video art image composition, the CPU usage of real-time processing is about 40%, If you don't process the video, but just play it, the average CPU usage is about 20%. The real-time performance of video processing can be realized effectively through the image synthesis art system. © 2023 IEEE.

关键词： Video signal processing

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Combining Data Resampling and DRL Algorithm for Intrusion Detection 5

Combining Data Resampling and DRL Algorithm for Intrusion De...

引用

5th international conference on computer Communication and the Internet, ICCCI 2023

作者： Su, Yi-Jen Wu, Li-Chin Chen, Chao-Ho Chen, Tsong-Yi Shu-Te University Deparement of Computer Science and Information Engineering Kaohsiung City Taiwan National Kaohsiung University of Science and Technology Deparement of Electronic Engineering Kaohsiung City Taiwan

ISBN: (纸本)9798350326956

The application of information technology has become widespread and popular, resulting in a growing diversity and complexity of network attacks. To address this serious challenge, an effective automatic protection system is urgently needed. This study proposes a novel intrusion detection system (IDS) that utilizes deep reinforcement learning (DRL). Data imbalance problems in the training dataset are addressed by applying the synthetic minority over-sampling technique (SMOTE) and Gaussian Mixture Model (GMM). The agent's strategy is improved through continuous DRL operations, resulting in 78% accuracy on the UNSW-NB15 test dataset. Moreover, the proposed DRL-based IDS can maintain the agent's learning status during its operation. © 2023 IEEE.

关键词： Reinforcement learning

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Image Recognition technology for Abnormal Capsule Detection 8

Image Recognition Technology for Abnormal Capsule Detection

引用

8th IEEE/ACIS international conference on Big Data, Cloud Computing, and Data science, BCD 2023

作者： Wang, Chuin-Mu Chu, Shao-Wei Wu, Yen-Ching Jian, Jia-Xian Tsai, Ming-Yu Huang, Meng-Fen National Chin-Yi University of Technology Department of Computer Science and Information Engineering Taichung Taiwan National Chin-Yi University of Technology Department of Artificial Intelligence and Computer Engineering Taichung Taiwan National Cheng Kung University Department of Electrical Engineering Tainan Taiwan

ISBN: (纸本)9798350373615

Capsules are widely used in the pharmaceutical and health food industries. Traditionally, the inspection of capsule appearance relies on manual visual inspection, which is both time-consuming and prone to errors. Therefore, this paper proposes the replacement of manual inspection with deep learning image technology to improve the speed and consistency of capsule appearance defect *** this study, we focus on defect types in capsule appearance that are difficult to identify and compare the performance of two deep learning network architectures: YOLOv7 [1] and YOLOv8 [2]. The training, validation, and test sets were created using manually captured images, distributed in a 7:2:1 *** experimental results demonstrate that YOLOv8 outperforms YOLOv7 in capsule appearance defect detection. YOLOv8 achieves a recall of approximately 0.916 and an average accuracy of about 96.2%. Furthermore, YOLOv8 excels in terms of detection speed and recognition accuracy. These research findings highlight the potential of deep learning for capsule appearance inspection, offering the industry opportunities to enhance production efficiency and quality control. © 2023 IEEE.

关键词： Inspection

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Industry 4.0: Developing Center of Excellence for PLC Lab in the field of automation 8

Industry 4.0: Developing Center of Excellence for PLC Lab in...

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Joint 8th international conference on Digital Arts, Media and technology and 6th ECTI Northern Section conference on Electrical, Electronics, computer and Telecommunications Engineering, ECTI DAMT and NCON 2023

作者： Kuong, Samnang Thap, Tharoeun Math, Sa Yahoui, Hamed Tran, Thanh Kha Heng, Sokha Royal University of Phnom Penh Phnom Dept. of Telecommunication and Electronic Engineering Penh Cambodia Automation & Processing Center Claude Bernard University Lyon 1 Dept. of Mechanical Engineering Lyon France Royal University of Phnom Penh Phnom Faculty of Engineering Penh Cambodia

ISBN: (纸本)9798350396546

Nowadays, industry 4.0 presents a modern and innovative paradigm with integrated up-to-date technology. The Asean Factori 4.0 projects under the funding of the Erasmus+ programme targeted to provide the training of the joined staff, students, and lecturers from the involved universities. This project contributes to the trainees for the state-of-the-art knowledge related to industry 4.0, automation, technologies, applications, and skills in utilizing the programable logic control (PLC) and its use cases for automation projects. This paper presents the key enabler technologies for industry 4.0 applications and developing Center of Excellence (CE) for PLC Lab in the fields of automation. Furthermore, we describe the learning courses and training contents under the training periods. The significant tools, frameworks, software, theoretical and practical methods are delivered to the involvements. Finally, a practical elevator project utilized the CE PLC Lab conducted by students have presented. © 2023 IEEE.

关键词： Industry 4.0

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Port request classification automation through NLP

Port request classification automation through NLP

引用

2023 international conference on ENTERprise Information Systems, CENTERIS 2023 - international conference on Project MANagement, ProjMAN 2023 - international conference on Health and Social Care Information Systems and Technologies, HCist 2023

作者： Beecher Martins, Samuel Antonio Garrido, Nuno Sebastião, Pedro Av. Forcas Armadas Lisboa1649-026 Portugal Portugal

This paper describes a suggested prototype to carry out the automatic classification of requests from a Port Help Desk. It intents to ascertain if the implementation of this framework is viable for this sector. For this purpose different models were employed, such as SVM, Decision Tree, Random Forest, LSTM, BERT and a SVM hierarchical model. To verify their efficiency these models were evaluated using Precision, Recall and F1-Score metrics. We obtained F1-Scores of 94.36% and 92.48% when classifying the request's category and group respectively. A F1-Score of 93.41% while using a SVM model for category classification when employing a hierarchical classification architecture. © 2024 The Author(s). Published by Elsevier B.V.

关键词： Hierarchical systems

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Graph-Based Embedding Improvement Feature Distribution in Videos

Graph-Based Embedding Improvement Feature Distribution in Vi...

引用

2023 international conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Zhang, Junbin Tsai, Pei-Hsuan Tsai, Meng-Hsun National Cheng Kung University Department of Computer Science and Information Engineering Tainan Taiwan National Cheng Kung University Institute of Manufacturing Information and Systems Tainan Taiwan National Yang Ming Chiao Tung University Department of Computer Science Hsinchu Taiwan

ISBN: (纸本)9798350324174

Video understanding is a significant computer vision research subject since online video content is growing exponentially. Feature extraction and representation play a crucial role in video understanding tasks such as classification, segmentation, and recognition. However, the model's learning is ambiguous since adjacent video frames typically have similar RGB features. To address this issue, we present graph-based embedding to enhance video feature distribution. We construct a graph-structured of videos by connecting similar features. Node embedding is generated by utilizing a graph model. Experiments demonstrate that our approach effectively improves feature distribution. The graph attention network (GAT) improves accuracy and editing score by 4% over the visual model. © 2023 IEEE.

关键词： Graphic methods

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A Study on the Application of Interactive Whiteboards in Secondary School computer Practice Courses 13

A Study on the Application of Interactive Whiteboards in Sec...

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13th international conference on Information technology in Medicine and Education, ITME 2023

作者： Zhang, Wenqing Sun, Jiande Lu, Ran Zhao, Liang Shandong Normal University School of Information Science and Engineering Jinan China Shandong Provincial Institute of Education Sciences Jinan China Shandong Normal University Faculty of Education Jinan China

ISBN: (纸本)9798350319156

With the continuous development of computer technology in China, informatization teaching has become an important part of teaching in secondary schools. With the deepening of education reform, the scientific integration of multimedia-assisted teaching and computerized teaching can effectively improve the quality of classroom teaching[1]. However, the mechanization of the introduction of multimedia-assisted teaching still makes the classroom teaching stays in the 'theoretical explanations in class + student exercises' mode, it is difficult to stimulate students' enthusiasm for learning. In order to solve the problems in the existing computer practical classroom teaching, this paper adds the interactive whiteboard as a supplement to multimedia-assisted teaching to the classroom teaching, and studies the application skills of the interactive whiteboard in the computer practical course, which provides a reference for teachers to use the interactive whiteboard for teaching. © 2023 IEEE.

关键词： Teaching

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Distributed routing scheme for IP-based elastic optical networks (EONs)

Distributed routing scheme for IP-based elastic optical netw...

引用

2023 international conference on Electrical, computer, Communications and Mechatronics Engineering, ICECCME 2023

作者： Halabi, Wajdi University College of Science & Technology Information Technology and Computer Science Department Palestine

ISBN: (纸本)9798350322972

Elastic optical networks (EONs) are gradually gaining the attention of researchers and manufacturers because EONs provide an efficient spectrum utilization compared to the common dense wavelength-division-multiplexing (DWDM). In addition, EONs use the enabling technologies such as flex-grid networks, orthogonal frequency division multiplexing (OFDM), and distance adaptive rate and modulation. Especially the key inventions of both bandwidth-variable transponders (BV-Ts) and flexi-grid reconfigurable optical add-drop multiplexers (ROADMs), which has announced the advent of the EONs paradigm. This paper addresses the problems of routing, and connection setup in IP-based EONs;therefore, a distributed routing scheme in combination with the associated connection setup signaling protocols in IP/MPLS-based EONs is proposed. To test our suggested scheme we propose a detailed IP/MPLS-based EON test framework. © 2023 IEEE.

关键词： Dense wavelength division multiplexing

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Enhancing Farm Security: Animal Intrusion Detection using YOLO 2

Enhancing Farm Security: Animal Intrusion Detection using YO...

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2nd international conference on automation, Computing and Renewable Systems, ICACRS 2023

作者： Rao, M. Venkata Krishna Challawar, Aakanksha Adithi, Begari Kurmandla, Akhila Bussa, Pranathi Computer Science and Engineering VNRVJIET Hyderabad India

ISBN: (纸本)9798350340235

Intrusion by farm animals poses a serious threat to the economic stability of farmers, causing unsustainable losses. Agriculture, being the cornerstone of the Indian economy, has faced growing challenges in recent years due to the neglect of issues related to wild animals damaging crops. Many farmers find themselves compelled to hire guards to safeguard their crops, leading to increased overheadcosts. The agricultural sector is already burdened with a staggering amount of debt. Given this scenario, farmers are unable to foresee additional crop destruction and are financially strained to bear the escalating costs of farming. Consequently, there arises a need for a machine learning- based monitoring system designed to identify instances of farmanimal encroachment and promptly alert the farmers. Such a system proves particularly valuable when farmers are engaged in other tasks and lack a reliable irrigation system. © 2023 IEEE.

关键词： Animal Detection Crop Protection OpenCV

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Research on Improved A ∗ Algorithm for Camera Path Planning in VR Movie Shooting 3

Research on Improved A ∗ Algorithm for Camera Path Planning...

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3rd international conference on computer science, Electronic Information Engineering and Intelligent Control technology, CEI 2023

作者： Yang, Xiyu School of Computer Science and Technology Changchun University of Science and Technology Changchun Jilin130022 China

ISBN: (纸本)9798350372052

The use of A ∗ algorithm for camera path planning is crucial for introducing scene information in virtual reality (VR) movie shooting. In order to solve the problems of long redundant paths, slow pathfinding speed, multiple turning points and large turning angles in the traditional A * algorithm during the pathfinding process, resulting in abrupt and unnatural transitions in the captured movie images, this paper improves the traditional A * algorithm. Firstly, by calculating the ratio of the standard deviation from the current point to the target point and the standard deviation from the starting point to the target point, the weights of the heuristic function of the A * algorithm are adaptively adjusted to achieve a balance between path length and path quality during the pathfinding process;Then, by changing the selection method of the extended sub nodes in the algorithm, the number of inflection points in the path is reduced without increasing the path length;Finally, the A ∗ algorithm is combined with a cubic B-spline curve, and the path planned by the A ∗ algorithm is smoothed using the local smoothness characteristics of B-splines. The experimental results show that the improved A ∗ algorithm has faster path finding speed, fewer redundant inflection points in the path, smoother path, and the movie captured by the camera according to the planned path is more coherent and smooth compared to the traditional A ∗ algorithm, while ensuring comprehensive scene information. © 2023 IEEE.

关键词： Motion planning

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