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检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47502 条记录，以下是121-130 订阅

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Lightweight Facial Expression Recognition Based on Joint Model Compression

Lightweight Facial Expression Recognition Based on Joint Mod...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Song, Guangming Fan, Chunxiao School of Computer Science and Information Engineering Hefei University of Technology Anhui Hefei230009 China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei230088 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

In this paper, we propose a lightweight facial expression recognition algorithm based on joint model compression. Firstly, we propose a self-distillation method based on facial expression recognition, which not only considers the overall output of the model but also focuses on the prediction results of each facial expression category, thereby improving the performance and generalization ability of the facial expression recognition model. Secondly, in order to further compress the facial expression recognition model, we apply a channel pruning method based on transformed L1 regularization. This pruning method imposes non-convex constraints on the parameters of the facial expression recognition model through transformations of the parameters in the L1 norm penalty term, achieving more accurate sparse regularization and effectively preventing overfitting of the model. Lastly, the pruned network is quantified to low-bit to obtain the final lightweight facial expression recognition model. The proposed method achieves 73.25% on the FER2013 dataset, with a parameter compression rate of approximately 50%, which achieves an effective lightweight. © 2025 SPIE.

关键词： Face recognition

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Smart Sensors and IoT in Mechanical engineering: Enhancing Monitoring and control of Industrial Processes 1

Smart Sensors and IoT in Mechanical Engineering: Enhancing M...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Annavarapu, Babu J Hareesha, N.G. Kacheru, Goutham Mohammad, Ashif Chin, Jacky Ghule, Gauri KLEF Deemed to be University Department of Management Andhra Pradesh Guntur India Dayananda Sagar College of Engineering Department of Aeronautical Engineering Bengaluru India Wilmington University Department of IST United States University of Dhaka Department of Institute of Energy Bangladesh Mercu Buana University Department of Industrial Engineering West Jakarta Indonesia Department of E and TC VIIT Pune India

ISBN: (纸本)9798331518578

Unmanned aerial vehicles (UAVs) are currently regarded as among the most effective remote sensing methods for collecting data across wide regions. Along with measuring output and aiding in decision-making, they are now employed in the industrial domain as sensing equipment for proactively resolving or avoiding numerous problems. UAVs offer an economical, functional, and reliable technical system for event monitoring and data collecting. Cloud computation has proven to be an essential instrument for addressing processing needs, and the Internet of Things (IoT) transmits industrial data from platforms that monitor and manage surroundings to data processing platforms. The IoTs port connects many items to the internet in fog computation. It supports many communication standards and can function as a joint portal for various systems. Much work has gone into creating UAVs and platforms with several UAVs. This work presents a smart IoT monitoring and control platform depending on a UAV. It utilizes fog computation as an interface between IoT tiers and cloud computation activities. Its ability to seamlessly connect UAVs to industrial control platforms via IoT port platforms and process and analyze UAV shots in real-time and in a structured manner in the cloud is what makes it distinctive. The outcomes show unequivocally that the suggested structure is feasible in offering a dependable and effective UAV distant control platform to enhance product grade and minimize waste. Hence this study investigated the communication delay in several IoT ports between the various IoT levels. © 2025 IEEE.

关键词： Fog computing

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Fusion of Sparse Direct Method and Feature-based Approach in Stereo Point-Line SLAM Algorithm

Fusion of Sparse Direct Method and Feature-based Approach in...

引用

2024 international conference on Mechatronics and intelligent control, ICMIC 2024

作者： Wang, Hao Xu, Zhen Leng, Kuang China Nanhu Academy of Electronics and Information Technology Zhejiang Jiaxing China School of Electronic Engineering and Computer Science University of Science and Technology of China Anhui Hefei China School of Management University of Science and Technology of China Anhui Hefei China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

The development of autonomous driving and augmented reality has led to increased demands for accuracy and speed in visual SLAM. Traditional feature-based visual SLAM performs real-time image analysis with high complexity and computation requirements, necessitating devices with exceptionally high arithmetic power. This poses challenges for deployment on low-power devices. Additionally, relying solely on photometric errors makes the system too sensitive to the environment. To tackle these issues, our algorithm integrates the feature-based method and the sparse direct method. We employ the sparse joint method for pose estimation in the tracking thread, considering both accuracy and speed. In case of tracking failure, we extract feature point lines for tracking. Furthermore,to enhance system robustness in low-texture environments and fuse point-line features, we employ adaptive weighted extraction of point-line features, considering computational resources. Our experimental results, based on public datasets, demonstrate that this algorithm achieves faster operation speeds in simple environments and higher accuracy compared to other SLAM algorithms in complex environments and fast camera movement scenes. © 2025 SPIE.

关键词： Stereo image processing

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Advancing Object Discovery: Unveiling the Power of YOLO in computer Vision Applications 6th

Advancing Object Discovery: Unveiling the Power of YOLO in C...

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6th international conference on intelligent Communication, control and Devices, ICICCD 2024

作者： Vijayalakshmi, A. Ebenezer Abishek, B. Arul Stephen, C. Mohith, K. Sri Niranjan Raja, C.A. Department of Electronics and Communication Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Department of Electronics and Communication Engineering KCG College of Technology Chennai India

ISBN: (纸本)9789819783281

The practical implementations and technological advances of the YOLO method in computer vision for object detection are examined in this article. Santosh Divvala and Joseph Redmon’s YOLO artificial intelligence system can accurately and quickly detect objects in videos and images, eliminating the need for network iterations. Instead of using traditional methods, YOLO directly generates bounding boxes and class probabilities for each object, optimising the procedure. After reading this, the process is clearer. This study examines YOLO’s effectiveness in various situations. This technology has many applications in industrial automation, AR/VR, autonomous vehicles, healthcare, and retail. This article examines YOLO model training and data preparation. COCO datasets are used in this study. The architectural components of YOLO versions 7 and 8 are also examined. The findings show that YOLO v8 is highly accurate in identifying a wide range of objects in real time. This study shows YOLO’s revolutionary potential as object detection software for BV applications, highlighting its outstanding features. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Teacher in the Loop: Customizing Educational Games Using Natural Language 17

Teacher in the Loop: Customizing Educational Games Using Nat...

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17th international conference on computer Supported Education, CSEDU 2025

作者： Bouali, Nacir Cavalli-Sforza, Violetta Tukiainen, Markku University of Twente Enschede7522 NB Netherlands School of Science and Engineering Al Akhawayn University in Ifrane Ifrane53000 Morocco School of Computing University of Eastern Finland Joensuu80101 Finland

ISBN: (纸本)9789897587467

Despite significant advances in educational technology and design methodologies, current educational games demonstrate a fundamental limitation: educators are unable to modify content after the games are deployed, limiting curriculum alignment and pedagogical customization. This paper introduces Imikathen-VR, a solution built upon a text-to-animation system, supporting K-1 and K-2 teachers to create minigames for their students to practice basic writing skills. Our implementation extends an existing animation pipeline by integrating a fine-tuned T5 model for sentence simplification, achieving 95% F1 BERT score and 76% ROUGE-L score in maintaining semantic and lexical fidelity. We improve visual reasoning by transforming the task of identifying missing visual details into a Masked Language Modeling problem. Preliminary results demonstrate the system's effectiveness in generating curriculum-aligned VR exercises, though comprehensive classroom testing remains pending. This work advances the integration of customizable VR technology in early education, providing teachers with enhanced control over educational content. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Teaching

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Gesture and Voice-Based Automation System for Home Surveillance 1

Gesture and Voice-Based Automation System for Home Surveilla...

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1st international conference on advances in computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Santhosh, B. Oli, Sanjay Jayanth, C. Suresh Kumar, M. Raj, Preetham N Kandpal, Ankit Dayananda Sagar College of Engineering Department of Electronics and Telecommunication Engineering Bangalore560078 India Dayananda Sagar College of Engineering Department of Mathematics Bangalore560078 India Dayananda Sagar College of Engineering Department of Information Science and Engineering Bangalore560078 India Bipin Tripathi Kumaon Institute of Technology Dwarahat Department of ECE Almora India

ISBN: (纸本)9798331518578

Gesture and voice-based automation innovations are being examined because of the developing interest for reliable and smart home security frameworks. In this study, a MATLAB-based home reconnaissance automation framework in light of voice and motion is created and reproduced. To perceive, interpret, and answer user developments and vocal orders, the proposed framework utilizes modern sign handling and AI calculations. Although nonverbal communication through gestures has been around for a while, gesture-based human-computer interaction (HCI) is growing in popularity in the present day. The conventional interface uses a number of tools, including markers, physical controllers, and gloves, to increase the recognition rate. This work offers a novel marker less method for capturing gestures without the use of expensive gear or any obstacles. In order to enable disabled individuals to operate household appliances using their own speech and gesture commands, we present in this paper a speech and Gesture Driven automation system for homes with a central controller. The framework joins programmed reactions with continuous observation highlights to further develop security, openness, and user solace. Framework reenactment, including control rationale, voice order handling, and motion identification, is finished with MATLAB. The accuracy, reactivity, and common sense of the innovation are shown by the recreation results. © 2025 IEEE.

关键词： MATLAB

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Network-Centric Malware Detection Using Dynamic Packet Analysis and Hybrid Architectures 1

Network-Centric Malware Detection Using Dynamic Packet Analy...

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1st international conference on intelligent Systems and Computational Networks, ICISCN 2025

作者： Raj, B.U. Naveen Utpal Raj, K.B. Srujan, V. Rajagopal, Shinu Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331529246

The rapid evolution of malware necessitates advanced detection methodologies to address the limitations of traditional signature-based approaches, which often fail against zero-day malware and polymorphic attacks. This study introduces a dynamic packet analysis framework, leveraging fine-grained network features such as packet length and time-to-live (TTL) for real-time detection. A hybrid architecture, combining Gradient Boosting and Random Forest models, improves detection capabilities to 95.7% with robustness against adversarial attacks. The model's effectiveness in analyzing control flow traces outperforms traditional methods by 26.3% in detecting obfuscated malware and maintains an 83% success rate against adversarial threats. This approach not only sets a new benchmark in adapting to evolving cybersecurity challenges but also provides scalable and resilient malware detection. © 2025 IEEE.

关键词： Zero-day attack

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A Review on the Use of Smart Agriculture Systems to Protect Crops 3

A Review on the Use of Smart Agriculture Systems to Protect ...

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Kumar, Gulshan Gourshettiwar, Palash Suman, Saurabh Kumar, Shravan Kumar, Dhiraj Raushan, Rahul Faculty of Engineering and Technology Department of Computer Science and Design Maharashtra Wardha India Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Maharashtra Wardha India

ISBN: (纸本)9798331509675

Smart agriculture systems leverage the possibilities offered by cutting-edge technologies such as IoT, AI, and remote sensing to revolutionize conventional farming by enhancing resource utilization, production, and crop damage mitigation. Real-time monitoring of soil and crop health, predictive analytics, pest control, and precision irrigation measures are all enabled by these systems. They are able to address major Indian agriculture issues, consequently boosting yield and profitability and promoting environmental sustainability. The largescale deployment of intelligent agriculture systems will change the agriculture landscape in India and will assure long-term food security for an ever-growing population. Challenges include adequate research and future studies in order to better install and achieve smart agricultural systems to protect crops. intelligent agriculture involves all advanced research, including science and innovations, in national development through space technologies to enhance soil quality, conserve water, and facilitate agriculture information. Space ventures will undergo improved modernization through the introduction of crop sprayers, precision gene editors, epigenetics, big data analytics, IoT, wind and photovoltaic smart energy, AI-enabled robotic applications, and wide-scale desalination technologies. Implementing digital farming systems in developing economies will help their sectors as 85 percent of the global population is set to live in developing countries by 2030. Automation will prove to be necessary since food scarcity is on the rise along with resource wastage. control strategies such as the IoT, aerial imagery, machine learning, and artificial intelligence will boost production and prevent soil degradation. These advanced technologies are also able to alleviate such issues as plant disease detection, pesticide management, and water application. The introduction of the Internet of Things in the agricultural research world has started

关键词： Smart agriculture

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3rd international conference on Information control, Electrical engineering, and Rail Transit, ICEERT 2023

3rd International Conference on Information Control, Electri...

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3rd international conference on Information control, Electrical engineering, and Rail Transit, ICEERT 2023

ISBN: (纸本)9789819746194

The proceedings contain 35 papers. The special focus in this conference is on Information control, Electrical engineering, and Rail Transit. The topics include: Simulation Analysis and Experimental Verification of the Temperature Field of 110 kV Double-Fracture Disconnect Switch;Research on Electromagnetic Immunity Hardware-In-The-Loop Simulation Test of ADAS in intelligent Vehicle;the On-Load Simulation Model of Electric Drive System of Electric Vehicle Under Complex Operating Conditions;Parameter Identification of DC Motor Based on Improved Particle Swarm Optimization Algorithm;feasibility Study on Canceling Closing Resistance of 750 kV Short Line Circuit Breaker;application of Commissioning in Power engineering;application Research on Fault Diagnosis and Treatment of Rotating Machinery in Thermal Power Plants;SOC Estimation for Lithium-Ion Batteries Based on a Class of Nonlinear Kalman Filter Algorithm;Ultra-Short-Term Wind Speed Prediction for Wind Farms Based on GA-LSTM Hybrid Model;studying on Traffic Congestion in Expressway Interchange Diversion Area;research on the Conflict Behavior of Internal and External Container Trucks in Smart Port;estimation of Metro Passenger Capacity Based on Passenger-Train Matching Model;reliability-Oriented Air-Rail Intermodal Transport Connection Planning;research and Evaluation of the Quality of Urban Rail Transit Interchange Operation Systems;study on Passenger Flow Prediction of Intercity Railways in the Beijing-Tianjin-Hebei Region;research on Multi-objective Optimization of China–Europe Liner Shipping Speed Based on Different Carbon Policies;ACC System Design and Simulation Verification of intelligent Vehicle;research on the Comfort of Civil Aircraft Cabin Ventilation;application of computer Vision Recognition in Urban Rail Transit Construction.

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Real-Time Intrusion Detection Method Based on Frequency Domain Simplified Dual-PINN 24

Real-Time Intrusion Detection Method Based on Frequency Doma...

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8th international conference on Electronic Information Technology and computer engineering, EITCE 2024

作者： Zhang, Bohan Wang, Zhiwen Miao, Wei Lanzhou University of Science and Technology Gansu Lanzhou China Gansu Ziguang Intelligent Transportation and Control Technology Co Gansu Lanzhou China

ISBN: (纸本)9798400710094

To address the limitations of traditional intrusion detection systems that do not conform to the physical laws governing actual industrial processes, we propose a frequency domain simplified Dual-Physical-Informational Neural Network (Dual-PINN) methodology. This methodology reduces training costs and enhances real-time detection performance, allowing the lightweight detection system to be applicable in resource-constrained industrial environments. Additionally, drawing on the concept of meta-learning, we have partitioned the model into a teacher network and a student network to enhance the robustness of detection. Experimental results demonstrate that our method achieves over 99% detection accuracy on a real-world network traffic dataset, with an average detection time of 0.098 seconds per data packet, effectively enhancing the performance and efficiency of intrusion detection. © 2024 Copyright held by the owner/author(s).

关键词： Network intrusion

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