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检索条件"任意字段=International Conference on Computer and Automation Engineering"

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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...

引用

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

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

引用

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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Tracking and Security Features Enhancement in a Smart School Bus Using IoT

Tracking and Security Features Enhancement in a Smart School...

引用

2023 international conference on IoT, Communication and automation Technology, ICICAT 2023

作者： Abhay Surya, R.L. Likith, A.S. Guruprasad, N. Global Academy of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350302820

Public transportation systems are often not taken into account by the parents as a mode of transport, due to the risks and lack of safety measures they possess. The Internet of Things (IoT) based applications and devices implemented in these School buses, rectify the concerns amongst the parents to have a trustworthy infrastructure. The system provides a solution to meet safety requirements by consistent student tracking using RFID and GPS technologies to report boarding and deboarding time of the student passing through 2 checkpoints, real-time bus location, and speed tracking to abide by the rules. Furthermore, a dual authentication to confirm that no unauthorised person can access the bus system, and surveillance IP camera for indoor monitoring. Sensors like Door sensors and Proximity sensors connected to Arduino Uno are used to mark the onboard and post-deboarding safety to depict a child's presence in the red zones, respectively. This can nullify or drastically bring down the occurrence of any undesirable instances. A mobile application displaying all the necessary information is made available for the ease of parents. Overall, the proposed system can uplift the safety of school children while travelling, providing parents with a stress-free and worriless environment. © 2023 IEEE.

关键词： Radio frequency identification (RFID)

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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...

引用

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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The Application of Artificial Intelligence in Accounting 5

The Application of Artificial Intelligence in Accounting

引用

5th international conference on computer Network, Electronic and automation, ICCNEA 2022

作者： Liang, Ping Wu, Lan Chongqing Vocational Institute of Engineering Chongqing402260 China Southwest Jiaotong University School of Economics & Management Chengdu610000 China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

With the penetration of artificial intelligence into the accounting field, accounting work has ushered in great development and also faces some challenges. This paper comes out from the concept of artificial intelligence, analyzes the advantages of using artificial intelligence in accounting work to improve work efficiency, improve the reliability of accounting information, reduce fraud, and the disadvantages of leaking trade secrets, unclear responsibility, technical risks, etc., and further elaborates the application of artificial intelligence in accounting work such as self-made or foreign original documents, inventory management, payroll accounting, financial accounting, financial analysis, financial budgeting, etc., hoping to bring help to the development of accounting work and thus promote the development of enterprises. © 2022 IEEE.

关键词： Budget control

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Variable Scale Gesture Recognition: A Dataset and Comprehensive Analysis 3

Variable Scale Gesture Recognition: A Dataset and Comprehens...

引用

3rd international conference on Robotics, automation and Intelligent Control, ICRAIC 2023

作者： Li, Zhaoyu Xu, Tao Yang, Xiaohui Sun, Jiahui Zhu, Guangze University of Jinan School of Information Science and Engineering Jinan China

ISBN: (纸本)9798350360813

Dynamic gesture recognition plays an important role in natural human-computer interaction. Gesture image sequences can express more complex interaction intentions. Currently, the majority of dynamic gesture recognition algorithms are trained using fixed-length gesture sequences. However, the rate, amplitude, and angle of gestures differ across individuals, which presents a challenge to the effectiveness of existing dynamic gesture recognition algorithms. To address this challenge, we propose a variable scale gesture dataset. This dataset contains six types of dynamic gestures with different sequence lengths. In the experiments, we utilized major algorithms, including Two-Stream, C3D, CRNN and I3D, to test and evaluate their performance. Although current algorithms have been able to achieve high recognition rates for fixed-length sequences, they are unable to directly recognize variable-length sequences. The dataset includes four types of static gestures that can be used for dynamic gesture keyframe recognition and start/stop frame determination. The dataset proposed in this paper is expected to advance research in variable scale gesture recognition. © 2023 IEEE.

关键词： Gesture recognition

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An Assembly Instruction Question Answering System Based on Knowledge Graph 1st

An Assembly Instruction Question Answering System Based on K...

引用

1st international conference on Applied Intelligence, ICAI 2023

作者： Zhang, Yu Gan, Liangzhi Pi, Xueyu School of Electrical Engineering and Automation Jiangsu Normal University Xuzhou221116 China

ISBN: (纸本)9789819708260

Due to the widespread use of computers, assembly language is indispensable in operating computer software. Learning assembly language is particularly important. However, it requires strong logical and spatial imagination, making it difficult to learn and master. In order to enhance the efficiency of learning assembly language, this paper proposes the use of Chinese language to learn assembly language and designs a Knowledge Graph-based Assembly Language Question Answering (KG-ALQA) System. Taking the assembly language of the 8051 microcontroller as an example, firstly, we construct a knowledge graph of 8051 assembly language. Secondly, We construct a KG-ALQA system that utilizes templates to enable Chinese-to-8051 assembly language question answering (QA) functionality. Finally, to address the problem of template limitations in the KG-ALQA system, We propose a joint Transformer model to enhance the flexibility and accuracy of the system. Experimental results show that utilizing knowledge graph (KG) and deep learning techniques can effectively achieve Chinese-to-8051 assembly language QA functionality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning

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Attention Mechanism Based Full-face Gaze Estimation for Human-computer Interaction 5

Attention Mechanism Based Full-face Gaze Estimation for Huma...

引用

5th international conference on computer Network, Electronic and automation, ICCNEA 2022

作者： Zhuang, Jiayi Wang, Changyuan Xi'an Technological University School of Computer Science and Engineering Xi'an China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

Due to the expanding application field of gaze estimation, gaze estimation has become an important research topic in human-computer interaction and computer vision. Most of the current mainstream methods for gaze estimation during HCI are based on a sing-camera and single-screen system. In order to address the issues of gaze estimation for multi-camera multi-screen systems, this paper explores the use of a deep learning model, the residual neural network (ResNet50) plus an attention mechanism, to estimate the operator's point of gaze (PoG) on the screen in the flight simulator. First, the front face image is obtained from the three images by preprocessing, and then ResNet is used to regress the PoG. The results show that the inclusion of the attention mechanism enhances the network effect, in which the smallest prediction error is found for on-screen PoG using ResNet50+ECANet compared to SENet and CBAM. © 2022 IEEE.

关键词： Human computer interaction

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Development of an Advanced Navigation System for Autonomous Mobile Robots for Logistics Environments 23

Development of an Advanced Navigation System for Autonomous ...

引用

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

作者： Choi, Jun-Hyeon Bae, Sang-Hyeon An, Ye-Chan Kuc, Tae-Yong Sungkyunkwan University Department of Electrical and Computer Engineering Suwon16419 Korea Republic of

ISBN: (纸本)9788993215274

In this paper, we proposes the development of a novel navigation system for Autonomous Mobile Robots (AMR) in a logistics environment. AMR aim to provide a more flexible and innovative solution compare with traditional Automated Guided Vehicle (AGV) systems, in order to alleviate the inconvenience of line reconfiguration due to environmental changes. AMR equipped with various functionalities and sensors play a significant role in automating logistics and factory *** proposed navigation system includes methods for optimal path planning for single or multiple robots in a warehouse environment, improved localization techniques, and obstacle detection methods. By utilizing three maps, the system plans specialized paths for logistics warehouses, and addresses the limitations of conventional probability-based localization methods by utilizing semantic features extracted from the radar sensor for position ***, this system incorporates LIDAR sensors for obstacle detection and ensures that the robot stops when obstacles are detected within the predicted area based on size and speed. The implementation of this navigation system enhances the autonomy and efficiency of AMR in logistics environments, improving position measurement, path planning, and obstacle detection capabilities. It offers the potential for increased productivity and cost savings in automated logistics system operations © 2023 ICROS.

关键词： Motion planning

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Permission-Based Android Malware Identification 2

Permission-Based Android Malware Identification

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

作者： Senthilkumar, V. Devasenan, M. Karan, J. Ravina, C. Sneka, V. Kavipriya, T. Kumaraguru College of Technology Computer Science & Engineering Coimbatore India

ISBN: (纸本)9798350306811

Modern society has made mobile devices a necessary component in the daily lives of humans, and malware is growing at the same time. Users often utilize Android programs to conduct a variety of tasks, and the security of these applications depends on the rights that users provide to them. Malware attackers now frequently target the Android platform. Before installing an application, it is crucial to utilize a method to identify Android malware. Then, models were created using various machine-learning approaches by examining the current malware activity patterns and applying the information to identify any similar behavior carried out by unidentified attackers. So, a system that can recognize permission requests that are often asked or not asked by comparable applications might be used to reduce the chance of becoming a victim of the malware. There is no existing method for a person to verify that any application he installs for usage isn't malware. Instead, he must trust the application vendor. This gives us the opportunity to suggest and create a system that may really alert the user if any discrepancies are discovered in the permission list that is obtained from them. © 2023 IEEE.

关键词： Android malware

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