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The Study of Automatic Programs Quality Analysis and Correction 7

The Study of Automatic Programs Quality Analysis and Correct...

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7th international conference on automation, Control and Robots, ICACR 2023

作者： Kuo, Jong-Yih Lin, Yu-Hsuan Hsieh, Ti-Feng National Taipei University of Technology Department of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350302882

If the logic error occurs during programming, verifying the execution process and ensuring the correctness of variable values can be time-consuming and require significant effort. Novice programmers often struggle to identify these logic errors on their own, often relying on assistance from others, which further consumes time and effort. Additionally, the current program upload system only indicates whether the test data has passed or failed, lacking any suggestions regarding logical errors. Therefore, offering students meaningful feedback on logic errors would significantly reduce the time spent searching for error causes. This approach would also facilitate more effective programming learning, enabling students to dedicate less time to error fixing and programming. This research aims to gather programming assignments uploaded by students in a programming course using a program upload system and extract error patterns from these assignments. Furthermore, it aims to develop a feedback system capable of detecting logic errors in programs and providing appropriate feedback. The system's purpose is to minimize the time and effort invested by students and teaching assistants in resolving logic errors. © 2023 IEEE.

关键词： Students

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Comparison of Linear Quadratic Gaussian and Recent Methods for 4-Wheel Independent Steering State Space Model 23

Comparison of Linear Quadratic Gaussian and Recent Methods f...

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

作者： Yoo, Heonjong Choi, Seonggon Chungbuk National University Department of Electrical and Computer Engineering Chungcheongbuk-do Cheongju28644 Korea Republic of

ISBN: (纸本)9788993215274

In this study, we designed a disturbance observer (DOB) and linear quadratic Gaussian (LQG) filter for 4-wheel independent steering systems considering a state space model. First, the state space structure of a 4-wheel independent steering system was defined. Second, a DOB and Kalman filter problem was designed by estimating the sideslip angle of the 4-wheel state space model. The two design processes were compared based on the estimation results;the LQG method outperformed the DOB method by changing the Kalman filter gain via the observer and controller eigenvalue separation principle. © 2023 ICROS.

关键词： Kalman filters

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Deception Detection in the Digital Age: Pioneering Linguistics and Vision 2

Deception Detection in the Digital Age: Pioneering Linguisti...

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

作者： Thampi, Abhijith A. Megha, R. Varma, Vanapala Bharath Chandra Abhishek, S. Anjali, T. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350340235

The cutting-edge methodology for deception detection presented in this research study employs Deep Learning (DL) and Natural Language Processing (NLP) methodologies. Long a challenging and significant area of study, deception detection has applications in security, law enforcement, and interpersonal communication. In this study, a unique method for using neural networks in conjunction with Natural Language Processing (NLP) and speech processing is discussed to distinguish between dishonest and truthful statements. Our approach explores the distinguishing elements in text data and the acoustic properties ingrained in spoken language. This has the intention to provide a deception detection technique with significant potential in real-world circumstances by combining these two modalities. This research opens up new possibilities for things like fraud detection, security screening, and perhaps even bettering human- AI interactions. Our novel technique represents a substantial advancement in the field of deception detection and providesuseful insights into the possibilities of AI-driven solutions in dealing with complicated human behaviors. © 2023 IEEE.

关键词： Acoustic Characteristics Artificial Intelligence Deception detection Natural Language Processing Neural Networks S peech Processing Text Analysis

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Enhanced Mobility Assistive And Tracking Device for Elderly and Visually Impaired Individuals 7

Enhanced Mobility Assistive And Tracking Device for Elderly ...

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2023 7th international conference On Computing, Communication, Control And automation, ICCUBEA 2023

作者： Bhosale, Parth Dudhane, Akash Bhat, Ayaan Chincholkar, Harshvardhan Sharma, Yogesh Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350304268

The aging population and visually impaired individuals often face mobility challenges and are at higher risk of accidents and falls. In this research, we propose the design and development of an IoT-based smart tracking stick that can assist elderly and visually impaired people in their daily activities. The need for assistive technologies to support mobility and independence among elderly and visually impaired individuals is becoming more crucial. In this research, we propose the design, development, and evaluation of an IoT-based smart tracking stick that leverages sensor technologies and smartphone connectivity to enhance the safety and quality of life of elderly and visually impaired individuals. The stick can be located by a smartphone via SMS, which provides real-time tracking and location data to caregivers or family members. The proposed smart stick is equipped with various sensors such as GPS - GSM, LDR sensor, Ardiuno Microcontoller, force sensor, water level sensor, ultrasonic sensor and various other sensor's. A force sensor can be utilized by the stick to detect the presence of a impaired individual and also ensure that they are holding it securely. © 2023 IEEE.

关键词： force sensor GPS GSM heart pulse sensor LDR Smart Stick

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YOLO-BTM: A Novel Shuttlecock Detection Method for Embedded Badminton Robots

YOLO-BTM: A Novel Shuttlecock Detection Method for Embedded ...

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2022 international conference on automation, Robotics and computer engineering, ICARCE 2022

作者： Zhang, Yimin Chen, Chuxuan Hu, Ronglin Huaiyin Institute of Technology Faculty of Computer & Software Engineering Huai'an China

ISBN: (纸本)9781665475488

Employing robots in badminton training contributes to a more accurate analysis of an athlete's movements and helps avoid injuries. Shuttlecock detection during the flying stage is a critical component of the badminton robot design. However, previous shuttlecock localization methods were unable to detect shuttlecock quickly and accurately in embedded device-based badminton robots, given scale variations, few extractable features, occlusion, and device limitation. In this paper, a deep learning-based shuttlecock localization method is proposed. First, an indoor shuttlecock dataset including 9548 shuttlecock images of various angles and scenes was constructed. Then a shuttlecock detection method YOLO-BTM is proposed, which is based on YOLOv4-Tiny. We proposed a new convolution block to replace the cross-stage partially block in the backbone, to improve the detection speed. To improve the network's ability to detect small objects, the efficient channel attention block is introduced in feature fusion. Finally, a comparative experiment on the accuracy of the method and the detection speed was conducted. The results show that the proposed YOLO-BTM has better performance in detection speed and accuracy compared to the existing state-of-the-art object detection methods on our own shuttlecock dataset. Our method enables real-time, accurate localization of shuttlecock and has the potential to be used in other embedded device based sports robots. © 2022 IEEE.

关键词： Object detection

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Internet-of-Things Enabled automation of E-Logistic Framework for Healthcare Sector in Smart Cities

Internet-of-Things Enabled Automation of E-Logistic Framewor...

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2023 IEEE international conference on Electrical, Electronics, Communication and computers, ELEXCOM 2023

作者： Sharma, Sachin Tripathi, Saurav Kumar Sinha, Shaurya Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350305111

Strong operations and advancement of a viable and feasible city coordinations framework are vital for building economical cities. Be that as it may, city coordinations confront viable tangles due to the incongruent benefits among various performing artists, and the vague portion or constrained support of the civic division. The concept of a supply chain includes innovations and ideas pointed at making cities additional viable, in fact progressed, ecologically friendly, and casually comprehensive, counting specialized, financial, and communal developments. The IoT empowers organizations to mechanize forms and make strides benefit conveyance through Web innovation and cloud-based information exchange. In this paper, we have effectively accomplished automation of e-logistics applications within the healthcare segment, coming about in fetched proficiency and higher accuracy rates. The objective of the paper is to make a show or gadget for following and overseeing the computerization of e-logistics within the healthcare segment, with diminished operational costs and greatest proficiency. This study improves our understanding of the require for mechanization of IoT-based e-logistics system for viable and proficient improvement of smart cities in healthcare segment and will serve as a premise for pending works/ investigate. © 2023 IEEE.

关键词： Internet of things

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A Positioning and Navigation System for Railway Technical Station Operators 4

A Positioning and Navigation System for Railway Technical St...

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4th IEEE international conference on Digital Twins and Parallel Intelligence, DTPI 2024

作者： Yang, Fan Wang, Zhixue Xiong, Gang Hu, Xiangyu Xu, Kejie Chen, Shichao Shandong Jiaotong University State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Rail Transportation Jinan China Shandong Jiaotong University School of Rail Transportation Jinan China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Beijing Technol. and Bus. Univ. State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences School of Computer and Artificial Intelligence Beijing China China Mobile Communication Group Sichuan Co. Ltd Chengdu China Chinese Academy of Sciences Beijing Huairou Academy of Parallel Sensing State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Beijing China

ISBN: (纸本)9798350349252

As an important node in the dismantling and grouping of freight trains, the operational tasks of the railway technical station are increasingly busy. Various business activities involve a large number of field personnel, and ensuring the personal safety and operational efficiency of these personnel is one of these issues that railway operations need to *** ensure the operational safety and standardization at the railway technical station, high-precision positioning system for the personnel is required. However, typical operational scenarios at railway technical stations often involve problems such as the carriage obstruction and the electromagnetic interference. Only rely on GNSS for positioning is often insufficient to meet practical requirements. Addressing the need of the high-precision positioning for the operational personnel at railway technical stations, this paper constructs a integrated navigation system based on RTK and IMU. It utilizes a Discrete Error State Kalman Filtering algorithm to fuse the solution data from RTK and IMU, thereby obtaining high-precision pedestrian positioning data. Compared to relying solely on GNSS positioning system, the integrated navigation system significantly improves its resistance to the interference and positioning accuracy. Experimental results demonstrate that this positioning system can achieve centimeter-level positioning in obstructed scenarios typical of railway technical stations, meeting the positioning requirements of the operational personnel at railway technical station work sites. © 2024 IEEE.

关键词： Kalman filters

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Fire and water mixed system frequency regulation based on fuzzy PID optimization research

Fire and water mixed system frequency regulation based on fu...

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2023 international conference on Intelligent Systems, Communications, and computer Networks, ISCCN 2023

作者： Li, Xin Wang, Juanjuan School of Automation and Electrical Engineering Dalian Jiaotong University Dalian116028 China

ISBN: (纸本)9781510666238

If the capacity of a hydropower unit in a certain area is several times the capacity of the thermal power unit, the characteristics of the hydropower unit speed regulation system have a great impact on maintaining the stability of the power grid frequency, according to which this paper builds a water-fire hybrid power system based on simulink, and subdivides the thermal power unit into two categories: no reheating unit and no reheating unit, so as to accurately simulate the role played by different types of units in the water-fire hybrid system in the frequency regulation process. In order to achieve a better FM effect, the text first improves the ordinary particle swarm algorithm to solve the problem of "precociousness";Secondly, the traditional PID parameters are optimized with the improved particle swarm algorithm, and finally the quantization factor and scale factor in the fuzzy PID are optimized. The above-mentioned fuzzy PID control strategy is applied to the influence of different primary frequency regulation effects on the frequency stability of the system when the capacity proportion of the hydropower unit is different. From the simulation results, it can be seen that the fuzzy PID controller optimized by the improved particle swarm has the characteristics of fast response, good stability, small oscillation amplitude and strong anti-interference ability. And the larger the proportion of hydropower unit capacity, the more prone to more large oscillations in the system frequency, which is not conducive to the recovery of frequency, but can improve the stability of the system frequency. © 2023 SPIE. All rights reserved.

关键词： Three term control systems

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PDET: Progressive Diversity Expansion Transformer for Cross-Modality Visible-Infrared Person Re-identification 27th

PDET: Progressive Diversity Expansion Transformer for Cross...

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27th international conference on Pattern Recognition, ICPR 2024

作者： Xiong, Mingfu Liang, Jingbang Guo, Yifei Lee, Ik Hyun Bakshi, Sambit Muhammad, Khan School of Computer Science and Artificial Intelligence Wuhan Textile University Hubei Wuhan430200 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Mechatronics Engineering Tech University of Korea and IKLAB Inc. Seoul Korea Republic of Department of Computer Science and Engineering National Institute of Technology Rourkela Rourkela India School of Convergence Sungkyunkwan University Seoul03063 Korea Republic of

ISBN: (纸本)9783031783401

Visible-Infrared Person Re-identification (VI-ReID) would effectively improve the recognition performance in weak-lighting and nighttime scenes, which is an important research direction in pattern recognition and computer vision. However, existing methods usually focus on reducing the image differences between modalities (visible and infrared) to extract more reliable features, while neglecting the ability to discriminate the different identities with similar appearances. To address this problem, we propose a framework called "Progressive Diversity Expansion Transformer (PDET)", which includes a Diversity Distinguishing Vision Transformer Module (DDViTM) and a Cross-Modality Similarity Matching (CMSM) module for VI-ReID in this study. The DDViTM is proposed to implement the multiple embedded output vectors for a single input, learning feature representations of individual pedestrians in different modalities. The second module (CMSM) is used to improve the feature similarity between visible and infrared images, and dynamically adjust the image sequence weights of the two modalities to complete the training and optimization efficiency for the entire network. We conducted extensive experiments on the SYSU-MM01 and RegDB datasets, widely recognized public datasets for VR-ReID. The results demonstrate that the algorithm presented in this work has achieved promising performance compared to state-of-the-art methods. The code is available at https://***/jxsiaj/***. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Infrared imaging

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Real-Time Facial Expression Detection System for Amplifying User Experience and Feedback Collection 2

Real-Time Facial Expression Detection System for Amplifying ...

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

作者： Aashritha, Goriparthi Pranathi, K. Prakash, Maddineni Syam Department of IT Velagapudi Ramakrishna Siddhartha Engineering College AP Vijayawada India

ISBN: (纸本)9798350340235

In many applications, including sentiment analysis, virtual reality, and mental health monitoring, interpreting facial expressions to determine emotions is crucial to human-computer interaction. By using a comprehensive real-world dataset to train the model using Viola Jones Haar cascade classifier, this research provides a novel method for facial expression identification. The goal is to correctly categorize the six fundamental emotions (neutral, happy, sad, angry, fear, surprise) as they are displayed in various facial images. In order to ensure diversity in age, gender, and ethnicity, the process flow starts by selecting and pre-processing a large dataset made up of a variety of real-world face expressions. In the proposed model, rectangular pattern-like features known as Haar-like features are utilized to characterize various aspects of a thing, such as edges and corners. Adaboost, a ML technology, aids in the selection of exclusive Haar-like features, which are then used in a Cascade classifier to make decisions about the input face. Our model's ability to efficiently learn both still and moving data is made possible by this combination, which improves the model's performance in identifying complicated emotions. © 2023 IEEE.

关键词： Cascade classifier Emotion Detection Feature Extraction Haar-like features Viola Jones

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