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检索条件"任意字段=4th International Multi-Conference on Computing in the Global Information Technology"

共 11826 条记录，以下是151-160 订阅

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Design and Development of a Microcontroller Based Solar PV Cooker 4

Design and Development of a Microcontroller Based Solar PV C...

引用

4th international conference on Ubiquitous computing and Intelligent information Systems, ICUIS 2024

作者： Morake, Anita Samikannu, Ravi Akila, L. Karpagam, R. Rohini, R. Yahya, Abid Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Ece Chennai India Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Easwari Engineering College Department of Electrical and Electronics Engineering Ramapuram India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India

ISBN: (纸本)9798331529635

this study proposes an innovative approach to improve solar cooking systems by combining microcontroller technology and deep-learning techniques. the Solar-PV Microcontroller-based Cooker concept aims to provide a sustainable and eco-friendly cooking method by harnessing the sun's power. this innovative approach addresses global energy conservation and access to clean cooking options, particularly in areas where conventional methods contribute to deforestation and indoor air pollution. the system includes inputs for cooking duration and temperature monitoring, enhancing solar energy efficiency and user experience. the study investigates how deep learning algorithms can be incorporated into the microcontroller-based solar cooker system to enhance functionality and versatility. Cooking settings can be automatically adjusted to maximize energy consumption and cooking results by analyzing real-time data from sensors and human inputs. the hybrid approach combines the best features of deep learning with microcontroller technology, demonstrating the significance of renewable energy in a cleaner, more efficient future. the Solar-Pv cooker demonstrates the possibilities of fusing culinary technology with computer algorithms, showcasing the potential of renewable energy in a cleaner, more efficient future. © 2024 IEEE.

关键词： Indoor air pollution

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Path Planning for Mobile Robot Based on Improved Aquila Optimizer 4

Path Planning for Mobile Robot Based on Improved Aquila Opti...

引用

4th international conference on Computer Science, Electronic information Engineering and Intelligent Control technology, CEI 2024

作者： Zhang, Jiakai Meng, Huan Li, Tongtong Zhao, Jingbo School of Information and Control Engineering Qingdao University of Technology Qingdao China Qingdao Product Quality Testing Research Institute Qingdao China

ISBN: (纸本)9798350378542

In this paper, we propose an improved Aquila optimizer (IAO) addressing the path planning problem of mobile robots. First, chaos mapping is used to initialize the population, enhancing the algorithm's global exploration abilities. To escape local optima, Cauchy- Gaussian mutation perturbations are introduced. Finally, to overcome the limitations of the traditional Aquila optimizer, the energy switching mechanism of the Harris hawks optimization (HHO) are introduced. Achieving an effective balance between global exploration. We present the experimental results of benchmark function tests and global exploration strategies. the comparative experimental results and robot path planning show that improved Aquila optimizer exhibits a faster convergence speed and better optimization capability. It demonstrates high effectiveness and stability in mobile robot path planning. © 2024 IEEE.

关键词： Microrobots

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MSFFNet: A multi-scale Shortcut Feature Fusion Network for Ultrasound thyroid Nodules Segmentation 4

MSFFNet: A Multi-scale Shortcut Feature Fusion Network for U...

引用

4th international conference on Electronic information Engineering and Computer Communication, EIECC 2024

作者： Liu, Shangwang Wu, Yiyuan Fan, Yunlei Xu, Xiaoyu Henan Normal University The School of Computer and Information Engineering Xinxiang China Henan Normal University Engineering Lab of Intelligence Business and Internet of Things Xinxiang China

ISBN: (纸本)9798331534622

the automated segmentation of thyroid nodule ultrasound images has emerged as a pivotal direction in the application of machine learning to medical imaging. However, existing networks often combine CNNs and Vision Transformers to compensate for the inherent limitations of convolutions and leverage the respective strengths of both. While they achieve commendable segmentation performance, these hybrid architectures struggle to accurately perceive target objects in specific contexts due to the intrinsic characteristics of ultrasound images. In this paper, we propose a multi-scale Shortcut Feature Fusion Network (MSFFNet) for achieving precise segmentation of thyroid nodules in ultrasound images. Our MSFFNet incorporates two essential modules: multi-scale Residual Feature Fusion Module (MRFF) and Shortcut Channel Fusion Module (SCF). MRFF, employing a multi-level residual structure, efficiently captures both global and local information to discern objects of various sizes. SCF, operating at the channel level, facilitates feature integration to effectively promote knowledge transfer. Experimental demonstrates that on both the thyroid and BUSI datasets, our MSFFNet has achieved F1 scores of 80.49% and 77.00%, along with IoU scores of 70.59% and 68.68% respectively, surpassing the related state-of-the-art models for medical image segmentation. © 2024 IEEE.

关键词： Ultrasonic imaging

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Enhancing Bikers' Safety and Coordination: A LoRa-Enabled Wearable System for Smart Cycling 4

Enhancing Bikers' Safety and Coordination: A LoRa-Enabled We...

引用

4th international conference on Soft computing for Security Applications, ICSCSA 2024

作者： Krishna Prasad, D.S. Sandeep Kumar, S. Deeksha, G.D. Rao, Manasa Megha, S. Shashwathi, N. Dept. of Computer & Communication Engineering Nitte Karnataka574110 India

ISBN: (纸本)9798331515720

In recent years, the popularity of biking, especially mountain biking, has surged, drawing enthusiasts seeking adventure and adrenaline amidst rugged landscapes. However, with this surge in popularity comes an increased awareness of the safety challenges inherent in the sport, particularly in remote or challenging terrains where traditional communication methods often fail to provide adequate support. Recognizing these challenges, the paper presents a LoRa-enabled wearable system tailored to enhance safety and coordination for mountain bikers, focusing on challenging terrain scenarios. By incorporating GPS functionality, the system delivers crucial information such as status updates and emergency notifications, thereby markedly elevating safety standards for riders. Furthermore, the project enables real-Time communication in network-deficient areas, effectively surmounting communication hurdles posed by mountainous landscapes. Leveraging LoRa technology extends the communication range, guaranteeing uninterrupted connectivity and empowering bikers to traverse rugged terrains with heightened assurance and security. © 2024 IEEE.

关键词： global positioning system

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Application of Gauss Fitting Method in Quality Assessment of Afterloader System 4

Application of Gauss Fitting Method in Quality Assessment of...

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4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Han, Yuang Cao, Honglong Soochow University School of Electronic Information Suzhou China

ISBN: (纸本)9798350363586

Spot center detection is an important detection method in optical measurement. In this paper, according to the characteristics of Gaussian fitting method, which can adjust the parameters of Gaussian function by analyzing the distribution characteristics of data points, so as to minimize the error between data points and fitting function, it is used in the quality assessment process of Afterloader System, a kind of instrument used to treat malignant tumors. By using OpenCV and Gaussian fitting method to process and analyze the film images generated during the quality assessment process, the central position of the dark spot formed by the radiation source can be detected, and then the accuracy of the radiation source in place during the treatment process of the Afterloader System can be accurately obtained. © 2024 IEEE.

关键词： Gaussian distribution

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Joint Optimization of Service Caching, Task Migration and Resource Allocation for Vehicular Edge computing with Energy Harvesting 4

Joint Optimization of Service Caching, Task Migration and Re...

引用

4th international conference on Computer Science, Electronic information Engineering and Intelligent Control technology, CEI 2024

作者： Zhang, Yi Jiang, Qi Ma, Zhuo Abrokwa, Kofi Kwarteng School of Electrical Engineering and Automation Hefei University of Technology Heifei230009 China

ISBN: (纸本)9798350378542

Effective integration of available resources within edge nodes is essential to improve the performance of vehicular edge computing (VEC) to support various randomly offloaded tasks with limited computing capacity and constrained energy. this paper presents an intelligent adaptive resource integration strategy for VEC with harvesting energy. Service caching, task migration and resource allocation are jointly employed to accommodate the temporally and spatially varying computing demands. the optimization to minimize the long-term average task execution time under energy constraint is formulated as Markov decision processes and solved with a parameterized deep Q-network based learning algorithm. this algorithm employs a centralized training and distributed execution framework, where a parameter network and an action network respectively handle continuous and discrete decisions, effectively tackling the hybrid action space challenges in problem solving. Simulation results demonstrate that the proposed algorithm not only achieves faster convergence but also significantly improves system performance compared to benchmarks. © 2024 IEEE.

关键词： Markov processes

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DyFormer: A CNN-Transformer Network Combining Local and global Attention for Optical Remote Sensing Object Detection 4

DyFormer: A CNN-Transformer Network Combining Local and Glob...

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4th international conference on Artificial Intelligence, Virtual Reality and Visualization, AIVRV 2024

作者： Huang, Youxiang Wang, Qin Jiao, Donglai Wang, Shufei Wang, Yu Lu, Zhiyi Ohtsuki, Tomoaki Gui, Guan College of Telecommunications and Information Engineering Njupt Nanjing China Ai Research Center Nanjing Great Information Technology Co. Ltd Nanjing China Keio University Department of Information and Computer Science Yokohama Japan

ISBN: (纸本)9798331528744

Remote sensing image (RSI) object detection is crucial for natural disaster management, urban planning, and resource exploration. However, due to significant differences between RSIs and natural images (NIs), existing object detectors designed for NIs are not directly applicable to RSIs. CNN-based models typically require specialized attention modules to relate small targets to global contexts, while Transformer-based models often add modules to enhance detail extraction, increasing computational costs for edge deployment. To address these challenges, we propose DyFormer, a hybrid CNN-Transformer model that combines local and global attention mechanisms for effective feature fusion. Additionally, a feature residual pyramid network (FRPN) is introduced to enhance multi-scale feature integration. We conduct experiments on the open source NWPU VHR-10 dataset to evaluate the proposed DyFormer, achieving a mAP@0.5 of 61.7%, outperforms existing sort-of-the-art methods, demonstrating its effectiveness for RSI object detection tasks. © 2024 IEEE.

关键词： Optical remote sensing

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4th international conference on Internet of things and Smart City, IoTSC 2024

4th International Conference on Internet of Things and Smart...

引用

4th international conference on Internet of things and Smart City, IoTSC 2024

ISBN: (纸本)9781510681767

the proceedings contain 109 papers. the topics discussed include: real-time random body motion elimination based on phase compensation and recurrent neural network prediction;comprehensive calibration and test system for UAVs;exploring the learning approach of multi-UAV task allocation through Voronoi diagram generation;attention-based structural analysis point cloud completion network;consensus iterative learning control for multi-agent systems with non-repetitive perturbations;learn and evolve to optimize robot morphologies;detection of COVID-19 based on attention mechanism and residual network;multimodal fusion contrastive learning framework based on insole and wristband;deep reinforcement learning-based task offloading and service caching in vehicular edge computing;and detection performance analysis of focused beam-forming for acoustic long horizontal array.

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Tomato leaf diseases recognition model based on improved MobileVit 4

Tomato leaf diseases recognition model based on improved Mob...

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4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Han, Zhiyuan Sun, Jianming Harbin University of Commerce School of Computer and Information Engineering Heilongjiang China

ISBN: (纸本)9798350363586

In order to solve the problem that convolutional neural network is not effective in classifying tomato leaf diseases, a novel method for tomato leaf diseases recognition based on improved MobileViT network was proposed. Firstly, the Squeeze and Excitation module is used to optimize the local and global feature fusion. Secondly, the global Attention Mechanism (GAM) is introduced after Layer1 and Layer2 of the model to enhance feature representation by capturing global context information, thus improving the expressiveness and robustness of the model. Finally, the ReLU6 activation function is replaced by Mish activation function, which further improves the accuracy of the model. the experimental results show that the improved MobileViT model can well recognize tomato leaf diseases, with an average recognition accuracy of 88.86%, 4.28 percentage points higher than that of the original model. Compared with other convolutional neural network models, the recognition accuracy is higher. © 2024 IEEE.

关键词： Convolutional neural networks

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Research on equipment portrait technology of aluminum electrolyzer with improved spectral clustering 4

Research on equipment portrait technology of aluminum electr...

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4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Han, Gaohui Han, Bing Huang, Yancheng Deng, Yikun Zhang, Baiqian North China University of Technology Information Institute Beijing China North China University of Technology Beijing China

ISBN: (纸本)9798350363586

Electrolyzer is an important equipment to produce aluminum in the aluminum electrolysis industry. the change of production index in the process of electrolysis will affect the current efficiency to different degrees. By constructing the portrait of the electrolytic cell, it can provide research ideas for analyzing the state of the electrolytic cell and mining the relationship between production indicators. this paper takes the electrolytic cell as the research object, uses the production data in the electrolysis process, combines the portrait technology, clustering and other methods, extracts the label information, and constructs the portrait of the electrolytic cell to facilitate the analysis and decision-making of the staff. Aiming at the difficulty of selecting the optimal scale parameter in spectral clustering algorithm, an improved adaptive spectral clustering algorithm based on local coefficient of variation was proposed to improve the clustering performance. Experiments are carried out through actual production data to generate portraits of electrolyzer equipment, which provides reference for practical applications. © 2024 IEEE.

关键词： Decision making

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