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

共 68829 条记录，以下是841-850 订阅

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A Lightweight Hybrid Framework for Real-Time Detection of Process Related Anomalies in Industrial Time Series Data Generated by Online Industrial IoT Sensors 15

A Lightweight Hybrid Framework for Real-Time Detection of Pr...

引用

15th international conference on computer and automation Engineering, ICCAE 2023

作者： Bagchi, Atish K Chandrasekaran, Sivachandran Swinburne University of Technology School of Science Computing and Engineering Technologies Department of Computing Technologies Hawthorn Campus Australia

ISBN: (纸本)9798350396225

Industrial Manufacturing plays an important role in the global economy, and estimates suggest that approximately 27 hours per month are lost in any major facility due to unplanned stoppages. The advent of Industrial IoT has seen manufacturing facilities deploy low-cost sensors with the hope of gaining improved visibility and thereby reducing unplanned machine stoppages and wastages. This paper introduces a lightweight, fast, easy-to-deploy framework that can be used for reliable and accurate identification of anomalies in real-time operational systems. The framework is holistic and includes data acquisition and data persistence modules to ensure that it can be deployed to a working production facility. The anomaly detection and contextualisation module is hybrid and uses statistical techniques and machine learning methods to provide fast responses while requiring minimal intervention. The framework was tested at a large metals manufacturing facility in New South Wales, Australia and the results show an accuracy of over 97% in anomaly detection. © 2023 IEEE.

关键词： Anomaly detection

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Motor Imagery EEG Classification Based on CEEMDAN-CWT Characterization 5

Motor Imagery EEG Classification Based on CEEMDAN-CWT Charac...

引用

5th international conference on Video, Signal and Image Processing, VSIP 2023

作者： Zhang, Yan Zheng, Qiyuan Deng, Haojie Li, Yuze Liu, Xin Li, Jiatong School Of Electrical Engineering And Automation Harbin Institute Of Technology Harbin China School Of Transportation Science And Engineering Harbin Institute Of Technology Harbin China

ISBN: (纸本)9798400709272

Brain-computer interface (BCI) is a technology that uses EEG signals to realize human-computer interaction. Motor imagery is a commonly used EEG paradigm, which has the advantage of active control and can be used in neurorehabilitation, prosthetic control and other fields. Based on the BCIC IV 2b binary classification dataset, this paper studies the EEG preprocessing and time-frequency representation algorithms. We designed the CEEMDAN-CWT method to reduce the complexity of the algorithm by reducing the number of channels, using sample entropy and the K-means clustering method. By comparing various time-frequency representation methods, the proposed method exhibits a good ability to improve feature separability. The experimental results showed that the optimized CEEMDAN-CWT method improves the MI-EEG classification accuracy and stability. It could reach a higher accuracy and a lower standard deviation on the 9 subjects compared with the CWT time-frequency representation method. © 2023 ACM.

关键词： Brain computer interface

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Research on real-time optimization technology of intelligent manufacturing based on learning algorithm 4

Research on real-time optimization technology of intelligent...

引用

4th international conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, SPIoT 2023

作者： Bai, Guihai Jiangsu Automation Research Institute Lianyungang222000 China

In the manufacturing industry, production efficiency is the core competitiveness of enterprises, but also an important goal of enterprise production planning management, and in recent years, the production efficiency of China's manufacturing industry does not meet the requirements, and there are still many problems to be solved. In the face of this situation, the relevant fields have explored intelligent manufacturing and proposed intelligent manufacturing technology, which mainly integrates information technology with traditional manufacturing system, can realize the important measures of intelligence, automation, digitalization and information in the manufacturing process, and can help solve the current key problems. Therefore, this paper takes ship manufacturing as the background. The real-time optimization technology of intelligent ship manufacturing based on learning algorithm is studied. This technology can effectively improve ship production efficiency and reduce production cost. © 2024 The Authors.

关键词： Smart manufacturing

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Visual Analysis of High Dam Based on Digital Twin technology 7

Visual Analysis of High Dam Based on Digital Twin Technology

引用

2023 7th international Symposium on computer science and Intelligent Control, ISCSIC 2023

作者： Jiang, Kunhong Tang, Rong Chai, Xinyao Liu, Simin Liu, Zhigui Li, Li Southwest University of Science and Technology Sichuan Eng. Technology Research Center of Industrial Self-Supporting and Artificial Intelligence Mianyang China

ISBN: (纸本)9798350342987

To solve the problem that high dams have high data dimension, high collection density and it is difficult for traditional data analysis methods to obtain effective information from large amounts of data in the construction of water conservancy projects, this paper puts forward a visualization analysis of high dams based on digital twin technology, which realizes the construction of virtual high dams and real-time feedback of virtual high dams to real high dams through the modeling and data reuse of Physical high dams. © 2023 IEEE.

关键词： Visualization

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Intelligent Point Reader Based on Machine Vision and Speech Processing

Intelligent Point Reader Based on Machine Vision and Speech ...

引用

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

作者： Hu, Zhiyuan He, Xiaoran Lin, Yangde Zhao, Yuxuan Liang, Zijuan Wu, Jiahong Tianjin University of Science and Technology Tianjin China

ISBN: (纸本)9798350309614

With the rapid development of artificial intelligence technology, human-computer interaction has also undergone tremendous changes. The development of interactive mode has brought great convenience and excellent experience to people's operation. At the same time, smart education has become the golden track of China's artificial intelligence market in 2021. The development of artificial intelligence online education industry is gradually accelerating, and the demand for learning machines tends to be just needed. The team has developed a 'point' music-intelligent point reader based on machine vision and speech processing. Based on a variety of recognition modes, this product independently designs algorithms, conducts reasonable hardware combination, integrates biosensor, machine vision, python, OCR, object detection, raspberry pie, and adds humanized reminder modules to achieve diverse and intelligent reading functions. Through our products, users can realize the learning and expansion of unfamiliar knowledge, the learning of multiple languages and so on. It can not only help users learn English and other foreign languages, but also provide convenience for blind people to read. The application scenarios are rich and diversified. It can not only identify which word by clicking on it, but also identify it by drawing a module on the book by hand, so as to make learning more efficient and convenient. This product proposes a new type of human-computer interaction that can be landed. It will be independently applied to the system, with gesture sensing, resonance rate, operation setting, human gesture recognition, trigger channel and other functions. It has the characteristics of accurate detection, efficient management and human structure. © 2023 IEEE.

关键词： Human-computer interaction OCR OpenCV Point reading machine

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A Comparative Analysis of Image-Based Classification and Object Detection for the Ocular Redness Grading

A Comparative Analysis of Image-Based Classification and Obj...

引用

computer science and automation technology (csat), international conference on

作者： Mini Han Wang Yu Yang Xiaoxiao Fang Zhiyuan Lin Peijin Zeng Xudong Jiang Junbin Fang Guanghui Hou Kelvin KL Chong The Faculty of Medicine Chinese University of Hong Kong Hong Kong China The Faculty of Data Science City University of Macau Macau China Zhuhai People's Hospital (Zhuhai Hospital Affiliated with Jinan University) Zhuhai China Zhuhai Institute of Advanced Technology Chinese Academy of Sciences Zhuhai China Perspective Technology Group Zhuhai China Zhuhai Aier Eye Hospital Zhuhai China Beijing Institute of Technology Zhuhai China Faculty of Science and Technology Beijing Normal University - Hong Kong Baptist University United International College Zhuhai China Department of Optoelectronic Engineering Jinan University Guangzhou China

This study presents a comprehensive exploration into ocular red-eye grading, employing ResNet-based image classification and YOLOv8-based object detection methodologies. The comparative analysis reveals distinct strengths and weaknesses inherent in each approach. While ResNet exhibits commendable accuracy and Specificity, its susceptibility to potential overfitting suggests suitability for tasks requiring detailed feature analysis. Conversely, YOLOv8 demonstrates superior performance across accuracy, Specificity, recall, and Fl-score metrics, positioning it as a promising solution for efficient ocular red-eye grading, particularly in real-time processing scenarios. Acknowledging study limitations, including potential dataset biases and challenges associated with diverse ocular conditions, is imperative for ensuring robustness and generalizability. Future research directions emphasize refining models, incorporating additional metrics, and diversifying datasets. Consideration of AI-based methodologies from natural images and videos, such as those captured by smartphones, is suggested for further investigation. Collaborative efforts between computer vision researchers and healthcare professionals hold promise for enhancing clinical relevance. The adaptability of ResN et and YOLOv8 underscores their potential utility in clinical settings, signaling advancements in diagnostic tools and personalized patient care within ophthalmology.

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Approaches to CAD Development for Specialized VLSI 5

Approaches to CAD Development for Specialized VLSI

引用

5th international conference on Control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： Shchepukhin, Denis Lyulyava, Daniil Duksin, Nikita Duksina, Ilona MIREA - Russian Technological University Laboratory of Specialized Computation Systems Moscow Russia

ISBN: (纸本)9798350309126

This paper discusses various approaches to the development of computer-aided design systems for specialized very large scale integration (VLSI) circuits. Based on a hierarchical approach to VLSI design, the main stages that need to be implemented by the CAD system are identified, and the tasks performed by the system at each stage are considered. The functionality accelerating changes in the design are proposed for each stage. The main approaches used in the development of this kind of system, their pros and cons, are also considered. © 2023 IEEE.

关键词： computer aided design

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Blockchain application in preserving authenticity and enabling transparency in the approval of loans for the clients in banking system 2

Blockchain application in preserving authenticity and enabli...

引用

2nd international conference on Advancements in Electrical, Electronics, Communication, Computing and automation, ICAECA 2023

作者： Saranyah, V. Suganthi, N. Kumaraguru College of Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350306811

The increase in the development of new technologies made transactions in the field of banking easy and customers can rely on quick transactions of money anywhere in the world. But when we see the process of availing loan by a customer, there are a large number of processes, and the customer has to look for the banks in person to expose his needs. Even when he is convenient in approaching the bank, there will be no transparency in sanctioning of the loan to the customer. In this model, we incorporate blockchain technology in sanctioning the loan to the eligible customer in a transparent way which takes place in a peer-to-peer network in the bank. We ensure confidentiality in preserving the customer's data at the same time we provide transparency in providing the loan to the eligible customer as there are many false proofs increasing in the banking sector. Our model is carried out using the features of a consortium blockchain with the effective use of the consensus such as Proof of Work (PoW) and Proof of Authority (PoA) in authenticating the customers and loan sanctioning © 2023 IEEE.

关键词： Authentication

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Design and Analysis of a Soft-Robotic Finger for Grasping Agricultural Products 10

Design and Analysis of a Soft-Robotic Finger for Grasping Ag...

引用

10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Kittur, Jeevan Shenoy, Meetha. V. Birla Institute of Technology & Science Department of Electrical and Electronics Engineering Rajasthan Pilani India

ISBN: (纸本)9798350382471

automation in the field of handling agricultural produce is a need of the hour. Some agricultural products such as fruits and vegetables are required to be grasped in a delicate manner without any damage to the produce or crop which rigid robotic grippers cannot offer. Soft robotics is an emerging area of research. In this paper, we present a design of a finger for the manufacturing of a soft gripper for handling small objects such as grapes, coffee cherries, etc. We present the analysis done for the selection of the material for the manufacturing of the gripper, material characterization, and the use of the insights from material characterization for the FEM analysis of the designed model. We also prototype the finger using a carefully designed manufacturing process and compare the performance of the prototype with the FEM analysis. We believe that this work provides insights into the various stages of design of soft- fingers including material characterization, FEM analysis and prototyping. © 2023 IEEE.

关键词： FEM Analysis Finger Gripper pneumatic actuator Soft Robotics

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Research on localization algorithm of SLAM mobile robot 4

Research on localization algorithm of SLAM mobile robot

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4th international conference on computer science and Communication technology, ICCSCT 2023

作者： He, Yuanzi Computer College Guangdong University of Science and Technology Guangdong Dongguan523083 China

ISBN: (纸本)9781510671232

Positioning of mobile robots is the most basic link of robot navigation, and also one of the key technologies for robots to achieve various complex tasks. This paper mainly studies the basic Monte Carlo positioning algorithm and adaptive Monte Carlo positioning algorithm, and analyzes the convergence process of positioning algorithm through simulation experiments. It is proved that the adaptive Monte Carlo localization algorithm has the ability to find the real pose of the robot in the map. © 2023 SPIE.

关键词： Mobile robots

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