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Research on fire warning based on improved artificial fish swarm optimization BP neural network 5

Research on fire warning based on improved artificial fish s...

引用

5th International conference on computer Vision and Data Mining, ICCVDM 2024

作者： Cui, Jian Zhang, Zihui Chen, Nan Liu, Quanting Xu, Haoran Liu, Yuman An, Hongchen Li, Haolin State Grid Jilin Electric Power Co. Ltd. Baishan Power Supply Company Baishan China Changchun University of Technology Changchun China

ISBN: (纸本)9781510682863

the traditional fire warning system with a single threshold value is widely used. However, due to the development process of fire, the variation of parameters in each stage is quite different, so it is difficult to achieve rapid and accurate fire warning with a single parameter. Aiming at the problems existing in the traditional fire alarm system, a BP neural network prediction algorithm based on improved artificial fish swarm optimization is proposed. Combined with multi-data fusion technology, the characteristic temperature, CO concentration and smoke concentration in the early stage of fire are used as inputs, and the three stages of fire development are used as output of BP neural network for fire prediction. On the basis of the standard artificial fish swarm optimization BP neural network, chaos algorithm is used to improve the artificial fish swarm, optimize the search ability of artificial fish swarm algorithm, accelerate the convergence speed of neural network, and output the expected results. the experimental results of MATLAB simulation software show that compared with the standard artificial fish swarm optimization BP neural network, the convergence accuracy is improved, which proves the superiority of this method. © 2024 SPIE.

关键词： Fire alarm systems

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Deep Fusion Co-occurrence Hashing for Image Retrieval 5

Deep Fusion Co-occurrence Hashing for Image Retrieval

引用

5th IEEE International conference on Information systems and computer Aided Education, ICISCAE 2022

作者： Yang, Ming Wan, Biao School of Computer Technology and Software Engineering Wuhan Polytechnic Wuhan China

ISBN: (数字)9781665481229

ISBN: (纸本)9781665481229

Improving the perception of objects for an image through label co-occurrence correlation is shown to improve the hash quality. Existing methods ignore the relationship between different representation regions and lack highlighting of salient features when fusing co-occurrence label vectors with image embeddings. To tackle this issue, we proposed a new fusion scheme, i.e., Multi-mapping Multi-modal Factorized Bilinear pooling (MMFB), which extends the single image feature to multiple representations to achieve fusion. As a result, we propose a deep fusion co-occurrence hashing algorithm that uses MMFB instead of MFB in the backbone of the label-attended hash (LAH) algorithm and uses SAGPooling to enhance the perception of attention. Extensive experiments over public benchmarks with multiple labels demonstrate that our algorithm can outperform LAH and state-of-the-art hashing algorithms. © 2022 IEEE.

关键词： Image enhancement

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Initializing SDN-NFV Integration for Smart City as Environment to DQN Agent in QoS Optimization 15th

Initializing SDN-NFV Integration for Smart City as Environme...

引用

15th International conference on computer Science and its Applications, CSA 2023 and 17th KIPS International conference on Ubiquitous Information Technologies and Applications, CUTE 2023

作者： Song, Inseok Tam, Prohim Ryoo, Intae Kim, Seokhoon Department of Software Convergence Soonchunhyang University Chungcheongnam-do Asan-si31538 Korea Republic of Department of Computer Engineering Kyung Hee University Gyeonggi-do Yongin-si17104 Korea Republic of Department of Computer Software Engineering Soonchunhyang University Chungcheongnam-do Asan-si31538 Korea Republic of

ISBN: (纸本)9789819724468

software-defined networking (SDN) and network functions virtualization (NFV) are two enabling paradigms at the forefront of reshaping the management of smart city core networking. the emergence of these paradigms presents a significant opportunity to revolutionize the way cities handle the core network infrastructure and services. However, current challenges are in ensuring that the Quality-of-Service (QoS) requirements for smart city applications, which consistently met to guarantee reliable and responsive connections. this paper introduces a novel approach based on deep Q-networks (DQN) to address the intricacies of QoS provisioning in the core domain of SDN and NFV. We initialize SDN-NFV systems into observable environment to DQN agent. By leveraging the epsilon-greedy algorithm, our method iteratively optimizes both online and target networks, which leads to the establishment of an adaptive control policy. Policy orchestration plays an important role in dynamically adapting network resources to meet the evolving demands of smart city applications. A key highlight of our approach is the novel reward mechanism, which is based on the efficiency of QoS metrics. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Quality of service

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Analysis of water surface line in free-surface-pressurized flow section of tailwater tunnel of large hydropower station 5

Analysis of water surface line in free-surface-pressurized f...

引用

5th International conference on computer Information Science and Application Technology, CISAT 2022

作者： Li, Gaohui Yang, Fei Yang, Shaojia Zhang, Zhida PowerChina Huadong Engineering Corporation Limited Hangzhou311122 China

ISBN: (纸本)9781510660076

In the transition process of tailrace system of large hydropower station, there may be the phenomenon of free-surface-pressurized flow. In order to obtain the accurate operating state of constant flow in the free-surface-pressurized flow section, four calculation methods including Runge Kutta method, one-dimensional numerical simulation software, physical model test and three-dimensional flow field analysis software CFD are used to obtain the water surface profile under constant flow conditions. the results show that the calculation results of each method are relatively consistent, indicating that the research method and route are correct and reasonable. the established mathematical model is reasonable and can be used to study the hydrodynamics of free-surface-pressurized flow. Considering the difference between the outlet of tailrace tunnel and one-dimensional simulation method obtained from physical model test and three-dimensional flow field analysis, the water surface lines of the free-surface-pressurized flow section of tailrace tunnel under constant flow conditions obtained by various analysis methods are basically coincident. the analysis of the local flow field at the outlet of the tailrace tunnel shows that it is feasible to use the three-dimensional flow field simulation instead of the physical model test to simulate the more complex working conditions. the research results can provide reference for the design and research of similar water conveyance systems. © 2022 SPIE.

关键词： Runge Kutta methods

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An Effective Deployment of Controllers in software-Defined Networks 5

An Effective Deployment of Controllers in Software-Defined N...

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5th International conference on Innovative Data Communication Technologies and Application, ICIDCA 2024

作者： Yasmine, Sk. Prabu, U. Sri Deepak Phaneendra, Y. Geetha, V. Department of CSE Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada520007 India Department of IT Puducherry Technological University Puducherry605014 India

Network performance has become a crucial consideration in ensuring a flawless user experience in the era of data-intensive applications and cloud computing. Traditional Networks are not suitable for solving such issues, so software-defined networking (SDN) has evolved as a game-changing technology, promising network flexibility, scalability, and centralized control. However, some challenges remain open to the research, and one of the most popularly known challenges is controller problem placement (CPP). Latency is also a major consideration in the network. However, implementing low-latency communication in SDN systems remains a difficult issue, especially as networks become more complicated. In the realm of SDN, where centralized control meets distributed data planes, minimizing latency between switches and controllers emerges as a pivotal challenge. this article delves into the critical concept of optimizing controller placement within SDN networks to minimize latency, with a primary focus on considering the switch-controller distance. the proposed work uses a Linear programming-based approach to identify the optimal controller location in the network by considering the switch-controller distance and the latency is calculated. Further, a comparison of the proposed work with a heuristic-based approach is performed which shows that the proposed work performs well in terms of latency. © 2024 the Authors. Published by Elsevier B.V.

关键词： Controllers

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Research on Coding and Decoding Scheme for 5G Terminal Protocol Conformance Test Based on TTCN-3 6th

Research on Coding and Decoding Scheme for 5G Terminal Proto...

引用

6th International conference on Innovative Computing and Communication, ICICC 2023

作者： Jingyao, Cao Yadav, Amit Khan, Asif Ansar, Sharmin School of Computer and Software Chengdu Neusoft University Chengdu China College of Engineering IT and Environment Charles Darwin University NT Australia Department of Computer Application Integral University Lucknow India Department of Biological Sciences and Bioengineering Indian Institute of Technology Kanpur India

ISBN: (纸本)9789819940707

Protocol conformance testing is an indispensable part of the marketization of commercial terminals. this paper elaborates and studies the architecture, test model, and design scheme of the 5G terminal protocol conformance testing system and proposes a 5G terminal protocol based on TTCN-3 Conformance test codec solution. the outcome of research shows that this solution has a positive role in promoting the industrialization of 5G. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： 5G mobile communication systems

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Association Rules Mining with Auto-encoders 25th

Association Rules Mining with Auto-encoders

引用

25th International conference on Intelligent Data engineering and Automated Learning

作者： Berteloot, theophile Khoury, Richard Durand, Audrey Univ Laval Dept Comp Sci & Software Engn Quebec City PQ Canada

ISBN: (纸本)9783031777301;9783031777318

Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Classical association rule mining algorithms have several limitations, especially with regards to their high execution times and number of rules produced. Over the past decade, neural network solutions have been used to solve various optimization problems, such as classification, regression or clustering. However there is still no efficient way to mine association rules using neural networks. In this paper, we present an auto-encoder solution to mine association rule called ARM-AE. We compare our algorithm to FP-Growth and NSGAII on three categorical datasets, and show that our algorithm discovers high support and confidence rule set and has a better execution time than classical methods while preserving the quality of the rule set produced.

关键词： Association rules mining Auto-encoder Knowledge discovery

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Reducing Overhead of Feature Importance Visualization via Static GradCAM Computation 5

Reducing Overhead of Feature Importance Visualization via St...

引用

5th IEEE International conference on Artificial Intelligence Circuits and systems, AICAS 2023

作者： Bhat, Ashwin Raychowdhury, Arijit Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA United States

ISBN: (纸本)9798350332674

Explainable AI (XAI) methods provide insights into the operation of black-box Deep Neural Network (DNN) models. GradCAM, an XAI algorithm, provides an explanation by highlighting regions in the input feature space that were relevant to the model's output. It involves a gradient computation step that adds a significant overhead compared to inference and hinders providing explanations to end-users. In this work, we identify the root cause of the problem to be the dynamic run-time automatic differentiation. To overcome this issue, we propose to offload the gradient computation step to compile time via analytic evaluation. We validate the idea by designing an FPGA implementation of GradCAM that schedules the entire computation graph statically. For a TinyML ResNet18 model, we achieve a reduction in the explanation generation overhead from > 2× using software frameworks on CPU/GPU systems to © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Design of Video English Teaching System Based on computer 5G Technology and Advanced Algorithms 4

Design of Video English Teaching System Based on Computer 5G...

引用

4th International Signal Processing, Communications and engineering Management conference, ISPCEM 2024

作者： Qin, Huang Hunan College of Foreign Studies Changsha China

ISBN: (纸本)9798331528676

the high data latency in real-world applications makes the standard online training platform incompatible. As a result, online video-based English teaching system is created using computer algorithms and 5G wireless network communication technologies. the Multimedia English online teaching platform's overall architecture is created with the actual functional requirements of online instruction in mind. the main controller, memory, and data collector hardware are used in this architecture to create the platform. the software components can be separated into two sections according to 5G wireless network communication technology and advanced computer algorithms. It is composed of several useful modules. the administrator, teacher, and student submodules' primary tasks serve as the foundation for the creation of the platform's functional modules. Simultaneously, the analytic hierarchy method and the evaluation domain are combined to calculate the weight of the indicators and establish the quality evaluation of online multimedia English instruction. the platform design is finished with the level model. the experimental findings demonstrate that the platform's test results are following expectations and have the potential to significantly raise the standard and effectiveness of online video-based English instruction. the average teaching efficiency is 96.27%, and the quality of instruction is consistently greater than 95%. ©2024 IEEE.

关键词： 5G mobile communication systems

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Predictive Maintenance Using Fouling Detection on Heat Exchangers 34

Predictive Maintenance Using Fouling Detection on Heat Excha...

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34th Annual International conference on Collaborative Advances in software and Computing, CASCON 2024

作者： Strzelczyk, Nicholas Gomez-Rosero, Santiago Capretz, Miriam A.M. Western University Department of Electrical and Computer Engineering LondonONN6A 5B9 Canada

ISBN: (纸本)9798331504830

Predictive maintenance (PdM) in heating, ventilation, and air conditioning (HVAC) systems improves energy efficiency and extends equipment lifespan. However, developing deep learning (DL) models for PdM faces challenges due to limited labeled datasets, particularly for image-based fouling detection in cooling tower heat exchangers. To address this, a synthetic image dataset is introduced, simulating dust and particulate accumulation on heat exchanger grids. the synthetic fouling data approach generates daily fouling growth and blends synthetic dust into real images. Using this dataset, convolutional neural networks (CNNs), including UNet, UNet++, and CGNet, are trained for semantic segmentation to detect fouling levels. the models are evaluated using F1 scores and precision-recall curves. Results demonstrate that the synthetic dataset effectively enables CNNs to detect fouling, with UNet achieving the best balance between accuracy and efficiency. Contributions include the development of the first synthetic dataset tailored for fouling simulation and a trained CNN model that can be integrated into PdM systems. this work addresses data scarcity and advances the use of computer vision in PdM. © 2024 IEEE.

关键词： Semantic Segmentation

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