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

共 68437 条记录，以下是421-430 订阅

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Ensemble Text Classification with TF-IDF Vectorization for Hate Speech Detection in Social Media

Ensemble Text Classification with TF-IDF Vectorization for H...

引用

2023 international conference on System, Computation, automation and Networking, ICSCAN 2023

作者： Sathishkumar, R. Karthikeyan, T. Praveen, Kumar P Shamsundar, S.M. Manakula Vinayagar Institute of Technology Department of Computer Science and Engineering Puducherry India Sri Manakula Vinayagar Engineering College Department of Computer Science and Business Systems Puducherry India Sri Manakula Vinayagar Engineering College Department of Information Technology Puducherry India

ISBN: (纸本)9798350315127

The development of artificial intelligence (AI) has changed how hate speech is detected. In hate speech identification using machine learning, a number of methods are used to automatically find text that uses vocabulary that is considered to be derogatory, discriminatory, or motivated by hatred. Supervised learning techniques like neural networks, decision trees, and SVMs need a labelled dataset comprising samples of hate speech and non-hate speech. This project investigates the use of AI and machine learning techniques to automatically detect material that uses offensive, intolerant, or hostile words. A voting classifier and TF-IDF representations are combined to improve classification accuracy. The ensemble of classifiers, powered by AI approaches, shows impressive accuracy in identifying hate speech by training five different classifiers (Random Forest, Bagging, Support Vector Machine, AdaBoost, and Gradient Boosting) on a labelled dataset of tweets. The TF-IDF representation prioritises textual terms, whereas the ensemble method uses classifier diversity to capture distinctive patterns. Results from experiments show the strategy's effectiveness, with precision 0.95, recall 0.96, f1-score 0.95 and accuracy 0.97 for detecting hate speech. By successfully utilising AI's capacity to fight hate speech, this research helps the development of a diverse and secure online environment. The suggested approach works well for automatically identifying hate speech, making the internet a safer and more welcoming place for all users. © 2023 IEEE.

关键词： Stochastic systems

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High Precision Underwater Active Acoustic Positioning technology Based on Distance Information

High Precision Underwater Active Acoustic Positioning Techno...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Zhang, Lichen Wang, Qi Ding, Pengfu Xing, Tao Fang, Jing Systems Engineering Research Institute China State Shipbuilding Corporation Limited Beijing China School of Marine Science and Technology Northwestern Polytechnical University Beijing China China State Shipbuilding Corporation Limited Beijing China

ISBN: (纸本)9798350309614

The underwater active acoustic positioning technology uses the geometric relationship between the target and the array to calculate the target position. This method needs the capability of accurately measuring the distance between the target and the receiving array, which is an indirect measurement. When the ranging error occurs, it is affected by the error transfer rule, and the positioning precision is low. In order to improve the precision of active acoustic positioning, a high precision active localization algorithm is proposed. In this algorithm, a distance vector model containing environmental parameters was established, and the similarity function was constructed by obtaining the L-p norm of distance vector and copy vector, so as to realize the 3D positioning of the target in the observation area. In order to verify the performance of the algorithm, Monte Carlo simulation is carried out to analyze the distribution of positioning errors. Simulation results show that the proposed method directly matches the distance vector, and the positioning precision is better than the conventional positioning technology, although the positioning precision is also affected by the ranging accuracy. © 2023 IEEE.

关键词： active acoustic positioning L-p norm least squares algorithm matching of similarity

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Moodle plugin for real-time face recognition in online exams for Systems Engineering and computer science students at Universidad Continental, Huancayo, Peru 5

Moodle plugin for real-time face recognition in online exams...

引用

5th international conference on Robotics and computer Vision, ICRCV 2023

作者： Vargas, Miguel Torres Valle, Luis Fernando Rojas Vera, Diego Porras Moreno, Daniel Gamarra School of System Engineering and Computer Science Universidad Continental Huancayo Peru

ISBN: (纸本)9798350326369

Facial recognition systems on learning platforms like Moodle enable fast and efficient evaluation, automating the detection of impersonation in online exams. This project implements a Moodle plugin that performs facial recognition on the student attempting to take a quiz. It consists of two parts for authentication through a webcam: the first part occurs before accessing the quiz, and the second part involves surveillance through a camera during the quiz. The plugin was developed using the PHP and JavaScript programming languages, as well as Face-api. The JavaScript API detects and recognizes faces in the web browser using Tiny Yolo v2 and FaceRecognizerNet. It compares a student's photo or image with the image from their webcam while they are taking the quiz. The Moodle plugin achieved an average error probability of 39.39% for face detection similarity distance. © 2023 IEEE.

关键词： Students

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Design and implementation of EAST diagnostic data acquisition management system 5

Design and implementation of EAST diagnostic data acquisitio...

引用

5th international conference on Frontiers technology of Information and computer, ICFTIC 2023

作者： Chen, Chuanchuan Chen, Ying Li, Shi Institute of Physical Science and Information Technology Anhui University Hefei China Chinese Academy of Sciences Hefei Institutes of Physical Science Hefei China

ISBN: (纸本)9798350309034

To address the low degree of automation in configuring acquisition devices and the lack of fault monitoring mechanism in the diagnostic data acquisition system of the EAST (Experimental Advanced Super-conducting Tokamak), a B/S architecture-based EAST diagnostic data acquisition management system is designed. This system utilizes Mycat and MySQL to build a distributed storage environment, supports remote configuration and management of acquisition devices, and adopts EPICS framework and WebSocket protocol to realize real-time monitoring and alarm of data acquisition units. Experimental tests have demonstrated that the system can run stably and meet the requirements of EAST experiments. © 2023 IEEE.

关键词： Diagnostic Data Acquisition EPICS Management System Real-time Monitoring Remote Configuration

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Research on the Optimal Solution of Counter Periodic Boundary Value of Pulsed Differential Equations Using computer Big Data technology

Research on the Optimal Solution of Counter Periodic Boundar...

引用

2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： He, Chunyan Zhu, Xingping Wuhan Donghu University Wuhan China

ISBN: (纸本)9798350309614

A program for calculating fourth-order partial differential equations is established, and a visual computer simulation is realized. The fourth order partial differential equation is simulated numerically by MATLAB algorithm, and the boundary conditions for the calculation of eigenvalue are studied. In the software package of MATLAB, the initial surface of the simulated object is designed according to the corresponding control commands, and the exact solution of the simulated object is realized. Experiments show that the visual simulation image generated by the above algorithm has smoothness and can effectively improve the visual effect of the simulated object. © 2023 IEEE.

关键词： boundary condition direction field Fourth order partial differential equation MATLAB

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Application of Artificial Intelligence to Deep Learning in Vocational Education

Application of Artificial Intelligence to Deep Learning in V...

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2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： Ran, Qin Han, Dan Wuhan Railway Vocational College of Technology Wuhan China

ISBN: (纸本)9798350309614

The model of vocational education resource metadata management platform is designed and the metadata in teaching resource library is described. The paper proposes a technology to realize the automatic transformation of XML information. Using the specification of teaching data metadata, the format of other data is converted into XML file. The information exchange and sharing mechanism of multiple teaching resource libraries is established. At the same time, this paper proposes a deep learning vocational teaching design framework based on four aspects: 'teaching objectives', 'teaching strategies', 'teaching process' and 'teaching evaluation'. A multi-dimensional vocational education data collection index for deep learning is constructed based on adjoint evaluation and multi-modal data technology. The system can support multi-modal data-driven deep learning implementation. © 2023 IEEE.

关键词： Artificial intelligence computer system deep learning metadata vocational education XML

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Robotic Precise Grasping with Varied Grasp Patterns Utilizing Brain-computer Interface and computer Vision 14

Robotic Precise Grasping with Varied Grasp Patterns Utilizin...

引用

14th IEEE international conference on Cyber technology in automation, Control, and Intelligent Systems, CYBER 2024

作者： Tian, Ziyang Yu, Yang Ye, Zeqi Zhao, Chuangri Hu, Dewen Zeng, Ling-Li College of Intelligence Science and Technology National University of Defense Technology Changsha China

ISBN: (纸本)9798331506056

With the swift advancement of brain-computer interface (BCI) technology in recent years, noninvasive brain-controlled robotic arms have emerged as a promising field. However, most previous studies neglected grasp patterns of object manipulation, and predominantly utilized two-fingered or three-fingered grippers, resulting in a single grasp pattern during object manipulation. This indicates there are still challenges in enhancing the flexibility of grasp in brain-controlled robotic arms. In the article, we introduce a shared control system for a dexterous hand and a robotic arm, leveraging computer vision techniques and steady-state visual evoked potential (SSVEP) based BCI. The four-target SSVEP-based BCI enables users to determine the desired grasp pattern of the dexterous hand during object grasping. Simultaneously, computer vision algorithm accurately predicts the pose of the target object, guiding the robotic arm and dexterous hand to execute precise grasping. The experimental evaluation involves eight participants, all of whom successfully complete the tasks with the average accuracy rate of 85.00 ± 4.63%. In summary, the proposed system enhances flexibility by incorporating a dexterous hand, thereby enhancing the user's capacity to engage with their surroundings, and experimental results confirm the efficacy and feasibility of the proposed system. © 2024 IEEE.

关键词： Robotic arms

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Qualitative Failure Analysis of IoT-enabled Industrial Fire Detection and Prevention System 26

Qualitative Failure Analysis of IoT-enabled Industrial Fire ...

引用

26th international conference on computer and Information technology, ICCIT 2023

作者： Rahman, Md Mokhlesur Abdulhamid, Alhassan Kabir, Sohag Military Institute of Science and Technology Department of Computer Science and Engineering Bangladesh University of Bradford School of Computer Science AI and Electronics United Kingdom

ISBN: (纸本)9798350359015

The Internet of Things (IoT) has improved our lives through various applications such as home automation, smart city monitoring, environmental monitoring, intelligent farming, and a host of others. IoT is increasingly being used for environmental monitoring to prevent fire incidents and other environmental hazards. However, for IoT systems to function effectively in preventing fire incidents, they must operate in a safe, reliable, and dependable manner. The intelligent sensors and devices that constitute the system are prone to different types of failures, which can lead to unsafe or dangerous conditions. Failure of a fire prevention system can pose significant risks to Health, Safety, and the Environment (HSE). To address these concerns, it is essential to understand how component failures can contribute to the overall system failure. This paper adopts Fault Tree Analysis, a widely used framework for failure behaviour analysis in other safety-critical domains, to qualitatively analyse an intelligent fire detection system in an industrial setting. The analysis outlines the ways in which the system can fail and the necessary prevention mechanism to guard against undesired system failure. © 2023 IEEE.

关键词： fault tree analysis Internet of Things smart fire control system system failure analysis

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DEVELOPING A USABILITY ENGINEERING ONLINE BLUEPRINT COURSE FOR computer science AND OTHER RELATED MAJORS

DEVELOPING A USABILITY ENGINEERING ONLINE BLUEPRINT COURSE F...

引用

international conference on Computational science and Computational Intelligence (CSCI)

作者： Mahmoud, Mohammed Univ Jamestown Dept Comp Sci Jamestown ND 58405 USA

ISBN: (数字)9798350361513

ISBN: (纸本)9798350361513;9798350372304

Usability Engineering is a subject that is related to Human-computer Interaction, focusing on developing elegant, flexible, user-friendly and efficient User Interfaces. In this paper, I am working on developing an online blueprint course for Usability Engineering that could be taken by undergraduate and graduate students. This course would he a good fit for computer science, computer Engineering, Software Engineering, Information technology, Information Systems and Graphic Design majors. All the aspects of blueprint courses will be explained in great detail, starting off with a definition of a blueprint course all the way through course evaluation and review. The developed course description and objectives will be explained, as well as the selected topics for this course. The course grading criteria and scale will also be demonstrated in the paper. The seven deliverables for the developed Usability Engineering course will be thoroughly covered in the paper.

关键词： Usability Engineering (UE) Human-computer Interaction (HG) User Interface (UI) User Experience (UX) undergraduate students graduate students computer science (CS) computer Engineering Software Engineering Information technology (IT) Information Systems Graphic Design blueprint course

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AI Chinese sign language recognition interactive system based on audio-visual integration

AI Chinese sign language recognition interactive system base...

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2023 IEEE international conference on Electrical, automation and computer Engineering, ICEACE 2023

作者： He, Xiaoran Lin, Yangde Hu, Zhiyuan Xu, Xintong Xu, Rui Xiang, Weiming Tianjin University of Science and Technology Tianjin China

ISBN: (纸本)9798350309614

Sign Language recognition is an important research direction in the field of computer vision. It is very important to recognize sign language efficiently and accurately to promote the two-way communication between the healthy people and the deaf-mutes so as to help the disabled and other people to integrate into the society harmoniously. There are two types of sign language recognition: Static Sign Language and dynamic sign language. The former can be recognized by image classification network and other technologies, and it is relatively mature for now. At present, the research in this field is not perfect at home and abroad. In this paper, an integrated sign language recognition system based on Yolov5 target detection algorithm combined with LSTM network and OpenPose technology is proposed, eventually the system will be deployed on the raspberry pie to increase portability. In order to improve the accuracy and efficiency of model recognition, this paper adopts data enhancement algorithm and changes the skeleton, detection head and loss function of Yolov5 model, finally, the model recognition accuracy of 98.87% was obtained on the open source Chinese sign language data set recognition test set of China University of science and technology. Our experiments show that our improved model has strong dynamic sign language recognition ability, and we hope that this can provide an improved idea for future sign language recognition, especially dynamic sign language recognition. © 2023 IEEE.

关键词： Chinese sign language data enhancement Sign Language recognition Sign Language Recognition System target detection

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