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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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Gait Image Analysis Based on Human Body Parts Model

Gait Image Analysis Based on Human Body Parts Model

引用

2023 IEEE international conference on Agents, ICA 2023

作者： Pattanapisont, Thanyamon Siritanawan, Prarinya Kotani, Kazunori Kondo, Toshiaki Karnjana, Jessada School of Information Science Japan Advanced Institute of Science and Technology Japan School of Ict Sirindhorn International Institute of Technology Thammasat University Thailand Thailand

ISBN: (纸本)9798350312782

Gait is a representative of an individual walking or a walking pattern. The definition of the gait cycle focuses on the lower limbs. However, the whole body has motion when humans walk. If we understand more about the gait features, it will benefit the gait analysis pipeline. This paper presents the walking pattern matching based on human body parts by calculating the angles between joints (the body angles) from vision-based skeletal joint coordinates. Then, apply Dynamic Time Warping (DTW) to demonstrate the similarity between persons by matching their whole body, upper body, and lower body feature vectors. To study the effect of carrying and clothes variations on the walking pattern when applying DTW matching. The authors aim to study human walking behavior by employing this finding to create a suitable gait image analysis based on a human body parts model to improve a computer-based gait analysis. © 2023 IEEE.

关键词： Gait analysis

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Navigating the VPN Landscape: A Comparative Study of L2TP, IPSec, and MPLS VPN Technologies 4

Navigating the VPN Landscape: A Comparative Study of L2TP, I...

引用

4th international conference on Electronic Information Engineering and computer science, EIECS 2024

作者： Chen, Yungui Li, Qian Tian, Liwei Jiang, Yuxiao School of Computer Science Guangdong University of Science and Technology Dongguan China

ISBN: (纸本)9798331531409

With the rapid advancement of internet technology and deepening globalization trends, Virtual Private Network (VPN) technology has become a crucial tool in ensuring the security and privacy of enterprise data transmission. Amidst complex network environments and escalating cybersecurity threats, VPNs address geographical limitations and information security by establishing encrypted channels over public networks. This study conducts a detailed comparative analysis of three mainstream VPN technologies - L2TP, IPsec, and MPLS. Through theoretical discussions and experimental validation, the study comprehensively compares these technologies across metrics such as transmission efficiency, security, cost-effectiveness, session setup times, and latency. It provides a comprehensive evaluation and application guide for businesses choosing VPN technologies. © 2024 IEEE.

关键词： HTTP

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Accuracy Improvement of the Shrimp-size Estimation Method for an Automatic Feeding-tray Lifting System Used in Shrimp Farming 20

Accuracy Improvement of the Shrimp-size Estimation Method fo...

引用

20th international conference on Electrical Engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON 2023

作者： Nontarit, Chanon Kondo, Toshiaki Yamaguchi, Masahiro Khamkaew, Warakorn Woradet, Jaroenmit Karnjana, Jessada Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand School of Engineering Tokyo Institute of Technology Yokohama Japan National Electronics and Computer Technology Center National Science and Technology Development Agency Pathum Thani Thailand

ISBN: (纸本)9798350310467

Two shrimp-size estimation methods were previously proposed in the shrimp-growth estimation based on ResNeXt for an automatic feeding-tray lifting system. The first one is based on the size of the smallest rectangle in which a shrimp is inscribed. The second is based on the shrimp's skeleton. Both methods have their strength and weakness. The former works better in the case of straight-body shrimp, but the latter works well in the case of curved-body shrimp. This study proposes a combination method of box-based and skeleton-based measurements by using a box ratio or eigenvalue ratio as a method-selection parameter to improve the performance of the shrimp-size estimation. Experimental results showed that the combination method using the box ratio can reduce the error by 63.56% and 9.24% compared with those of the previous box-based and skeleton-based methods, respectively. The combination method with the eigenvalue ratio can reduce the error by 63.10% and 8.08%, respectively. This study shows that combining the box-based and the skeleton-based measurements can reduce the error of the shrimp-size estimation method and improve its performance considerably. © 2023 IEEE.

关键词： Errors

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Vision based Cassava Plant Leaf Disease Classification using Machine Learning Techniques 2

Vision based Cassava Plant Leaf Disease Classification using...

引用

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

作者： Aruna, R. Prabu, M. Ananthi, S. Bharathi, V.C. Sathya, R. Suchithra, B. Department of IT Kongunadu College of Engineering and Technology Tamil Nadu Trichy India Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India Department of CSE Sri Eshwar College of Engineering Coimbatore India School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati India Department of CSE Sri Eshwar College of Engineering India

ISBN: (纸本)9798350340235

Plant leaf infection recognition using supervised machine learning has emerged as a promising solution to address the pressing challenges in agriculture and plant pathology. Firstly, a wide-ranging dataset of real-time cassava images, comprising both infected and healthy plant leaves, is methodically amassed and accurately annotated. The real time dataset covered healthy cassava leaves, Cassava Bacterial Blight diseases, Cassava Brown Streak Disease diseases, Cassava Green Mottle diseases, Cassava Green Mottle diseases and Cassava Mosaic Disease. The data preprocessing phase involves an assessment of filtering, noise reduction, resizing, and extraction techniques to maintain uniformity and augment the dataset's variability. Following this, relevant details are extracted from the preprocessed cassava frames, which are then utilized as inputs for the machine learning model. The approach of combining Leaf Intensity Vector, Principle Component Analysis, Gray Level Co-occurrence Matrix, and Support Vector Machine is adopted for the recognition of cassava leaf diseases. Using the polynomial and RBF kernel of SVM, KNN, Random Forests, and Decision Trees, the extracted suggested features are finally categorized. The proposed cassava leaf diseases classification system performs well, providing greater SVM RBF accuracy (98.4%) on models with disordered cassava leaves. © 2023 IEEE.

关键词： Image Processing k-Nearest Neighbor (KNN) Leaf diseaseand Performance Measure Principal Component Analysis Random Forests (RF) and Decision Trees (DTs) Support Vector Machine (SVM)

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Research on Information System Management Security Architecture Based on Blockchain technology 24

Research on Information System Management Security Architect...

引用

2024 international conference on Digital Economy and computer science, DECS 2024

作者： Wen, Zebin Nie, Kun Zhang, Jiuyang Wang, Hongli Faculty of Computer Science Guangdong University of Science and Technology Guangdong Dongguan China Guangdong University of Science and Technology Guangdong Dongguan China

ISBN: (纸本)9798400711855

With the rapid development of information technology, the security management of information systems faces increasingly severe challenges. This study revolves around the construction of a management security architecture for information systems using blockchain technology, aiming to enhance the systems’ defense capabilities and resistance to risks. Through comprehensive analysis of existing information system security threats and evaluation of management strategies, key issues in security management are identified. On this basis, a series of experiments were designed and implemented to verify the effectiveness of blockchain technology in information system security management. Through experimental data, this paper explores the practical efficacy of blockchain technology in improving the security of information system management and, on this basis, proposes a new type of security architecture. This research not only provides a new perspective and approach to existing information system security management but also offers theoretical guidance and empirical evidence for subsequent research and practice. © 2024 Copyright held by the owner/author(s).

关键词： Blockchain technology

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Neutral-point potential balance control strategy of three-level Active Neutral Point Clamped inverter based on zero-sequence voltage injection 6

Neutral-point potential balance control strategy of three-le...

引用

6th international conference on Information science, Electrical, and automation Engineering, ISEAE 2024

作者： Liu, Yang Guo, Lei Zhu, Mengme Zhou, Guangxu Wang, Yipei Li, Jie Institute of Automation Qilu University of Technology Shandong Academy of Sciences Jinan250200 China Shandong Provincial Key Laboratory of Automotive Electronics Technology Jinan250200 China Shengli Oilfield Shengli Pump Industry Co. Ltd. Dongying257082 China

ISBN: (纸本)9781510682924

The advent of Active Neutral Point Clamped (ANPC) inverters has increased the switching frequency. However, like the Neutral Point Clamped (NPC) type converter, the problem of midpoint voltage imbalance also exists in the three-level ANPC converter. The reason for the neutral-point potential imbalance is that the load current generates an AC current on the midline of the three-level inverter through each phase bridge arm. In order to solve this problem, the article takes the three-level ANPC inverter as an object, analyzes the reasons for the imbalance of the midpoint potential on the Direct Current (DC) side of the three-level ANPC converter and introduces a unified midpoint balancing control method under the space-vector pulse-width modulation from the angle of the zero-sequence component of the modulating waveform. © 2024 SPIE.

关键词： Vector spaces

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A Mobile Manipulator for Logistic Applications 23

A Mobile Manipulator for Logistic Applications

引用

23rd international conference on Control, automation and Systems, ICCAS 2023

作者： Awan, Arshman Amer Usman, Osama Aftab Khan, Muhammad Zubair Ghafoor, Usman Bhutta, M. Raheel Institute of Space Technology Department of Mechanical Engineering Islamabad Pakistan School of Mechanical Engineering Pusan National University Busan Korea Republic of University of Utah Asia Campus Department of Electrical and Computer Engineering Incheon Korea Republic of

ISBN: (纸本)9788993215274

To achieve optimal efficiency and increased productivity, the utilization of intelligent automated machines has become crucial in performing various operations and tasks. This research paper explores the fundamental differences between traditional automation and autonomous robotic assembly, focusing on the approaches employed in locating, acquiring, manipulating, aligning, and assembling parts. Recent advancements in processing power and sensor capabilities have opened up new opportunities for achieving autonomy and flexibility at affordable costs. Autonomous robotic manipulators offer a high degree of flexibility and capability to handle system uncertainties, unknowns, and exceptions. Furthermore, mobile manipulation, which involves coordinated motion of the robot's base and joints, enables precise control over the arm's motion. This paper describes the kinematic analysis using RoboAnalyzer, to examine the behavior of robotic arm Denavit-Hartenberg parameters are used for forward kinematics to calculate final transformation matrix of end effector which shows the position of gripper, also the torque calculation has done in fully extended arm position, so that the maximum torque applied on each servo joint can be calculated. CAD model and assembly for 6 DOF robotic arm was carried out in Solidworks. © 2023 ICROS.

关键词： Efficiency

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A Multimodal Sentiment Analysis Method Based on Interactive Attention

A Multimodal Sentiment Analysis Method Based on Interactive ...

引用

2023 IEEE international conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Tang, Yingchao Hu, Puzhao Dong, Lanfang Mao, Meng Li, Guoming Tan, Linxiang University of Science and Technology of China School of Computer Science and Technology Anhui China China Merchants Bank Ai Lab Shenzhen China

ISBN: (纸本)9798350337488

Sentiment analysis, a crucial aspect of human-computer interactions and healthcare, faces challenges in multi-modal data representation and fusion. Traditional methods often fail to adequately capture the complexities of integrating diverse modalities. Addressing this, we introduce the Cross Attention Fusion (CAF) algorithm, a novel approach for effective multi-modal sentiment analysis. The CAF algorithm uniquely employs a dual attention mechanism - global and local - to enhance the representation and integration of features across modalities. Our extensive experiments, conducted on the CH-SIMS dataset, demonstrate that the CAF algorithm significantly outperforms existing unimodal and multimodal methods in accuracy. These results highlight the CAF algorithm's superiority in capturing nuanced sentiment expressions, marking a notable advancement in the field of sentiment analysis. © 2023 IEEE.

关键词： Attention Feature Fusion Sentiment Analysis

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Transforming Data Analysis through AI-Powered Data science 2

Transforming Data Analysis through AI-Powered Data Science

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2nd IEEE international conference on Futuristic Technologies, INCOFT 2023

作者： Kumar, V. Mathan Vijayaraghavan, P. Meshram, Vidula V. Sharma, Mohit Kumar Nithya, M.S. Kumar, Ritesh Department of Computer ScienceKarpagam Academy of Higher Education Coimbatore641021 India Department of Mechanical Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Computer Science and Information Technology Karnataka Bangalore India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350308846

AI-powered records science is revolutionizing the way facts are analyzed and understood. It can significantly improve the exceptional of information evaluation and boost its speed. AI-powered facts technological know-how enables access to more extensive, extra complicated information sets, faster insights, faster trouble solving, and higher choice making. Using the use of AI-powered information technological know-how techniques and tools, organizations can provide more accurate outcomes with shorter times to choices. AI-powered facts technology also offers more correct predictions of activities and developments and superior accuracy in sample reputation. Furthermore, AI-powered facts science techniques can help agencies discover anomalies in datasets, learn new patterns, and better understand the points. This paper discusses the advantages of AI-powered statistics science and how it may enhance data analysis. It additionally discusses a number of the challenges going through organizations in imposing AI-powered records science projects and gives excellent practices for deploying and coping with records technology projects. © 2023 IEEE.

关键词： Challenges Deploying Number Practices technology

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An Adaptive-Gain Recurrent Neural Network for Solving the Joint-Angle Drift Issues of Redundant Manipulators

An Adaptive-Gain Recurrent Neural Network for Solving the Jo...

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2023 international Annual conference on Complex Systems and Intelligent science, CSIS-IAC 2023

作者： Zheng, Boyu Li, Chunquan Zhang, Zhijun Yu, Junzhi Liu, P.X. School of Information Engineering Nanchang University Nanchang330031 China School of Automation Science and Engineering South China University of Technology Guangzhou510640 China College of Engineering Peking University Beijing100871 China Carleton University Department of Systems and Computer Engineering OttawaONK1S 5B6 Canada

ISBN: (纸本)9798350309003

This paper proposes a new adaptive-gain recurrent neural network (AG-RNN) to effectively cope with the joint-angle drift issues in redundant manipulators. Specifically, a joint-angle drift-free with the feedback control of the velocity layer motion equation (JADF-FC) is proposed via an optimization criterion for synchronously optimizing linear terms and quadratic. Then, the JADF-FC is reasonably formulated into a standard quadratic programming (QP) issue. Different from the previous recurrent neural networks (RNNs), the AG-RNN proposed in this paper constructs an error-based differential equation with a new adaptive-gain. It should be noted that the proposed adaptive-gain does not gradually approach infinity as time increases, which is more in line with actual hardware implementation requirements than the existing time-variant-gain. The adaptive-gain can reduce the joint-angle drift errors of the redundant manipulator. Therefore, the proposed AG-RNN can solve the QP problem of the manipulator more effectively and quickly. To validate the performance of the proposed AG-RNN, it is compared with representative RNNs. The experimental results indicate that smaller joint-angle drift errors can be get by the proposed AG-RNN solving JADF-FC scheme than the other solutions when solving the joint-angle drift issues. © 2023 IEEE.

关键词： Quadratic programming

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