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检索条件"任意字段=Proceedings of the 2023 5th International Conference on Big Data Engineering and Technology"

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Optimizing Wireless Sensor Network Connectivity Using Math Modeling Techniques 5th

Optimizing Wireless Sensor Network Connectivity Using Math M...

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5th international conference on data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Gobi, N. Bhatnagar, Gunjan Bhavana, A. Mishra, Awakash Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Manduwala Dehradun Navgaon India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

Wi-Fi sensor networks (WSNs) are extensively deployed in various programs and have an increasing significance within the net of things (Iota). However, their connectivity remains a chief challenge, especially in large-scale networks, as it's far crucial for reliable communication and green statistics aggregation. To address this project, this paper presents a unique method to optimize the connectivity of WSNs through utilizing mathematical modeling techniques. Mainly, nonlinear optimization methods are hired to acquire a surest deployment sample for a given community configuration that maximizes the connectivity metric. the proposed method is proven to provide better connectivity outcomes than conventional solutions and is analyzed each theoretically and empirically with extensive simulations. Simulation outcomes additionally show that the method is robust to various node deployment techniques. Furthermore, it is evaluated using exceptional styles of environments and a huge variety of community configurations. the offered outcomes demonstrate the versatility and scalability of the proposed optimization method in optimizing the connectivity of WSNs. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Sensor nodes

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thermal Decomposition Process of C4F7N/CO2 Mixture with a Chemical Kinetic Model 5

Thermal Decomposition Process of C4F7N/CO2 Mixture with a Ch...

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5th international conference on Sensing, Measurement and data Analytics in the Era of Artificial Intelligence, ICSMD 2024

作者： Qingqing, Gao Yafan, Xiao Jiale, Miao Chuang, Wang Chi, Chen Zaiqin, Zhang Xi'an University of Technology School of Electrical Engineering Xi'an China

ISBN: (纸本)9798331529192

this paper establishes a chemical kinetic model to analyze the composition of decomposition products of C4F7N/CO2 mixture in the temperature range of 300-3500K with C4F7N content to be 5%, 8%, and 11%. the model involves 237 chemical reactions, and 65 species, containing neutral species, electrons, positive and negative ions. For C4F7N, due to its lower content and more complex reaction pathway, only the decomposition and recombination reactions of neutral species are considered, while for CO2, the decomposition pathway is more mature. In addition to reactions between neutral species, electron impact reactions and ion related reactions are also considered. this article establishes a two-temperature chemical kinetic model,in which the electron temperature and heavy species temperature are not equal. the electron temperature is defined as a function of the electron number density to make the model more accurate. Assuming that all reactions are reversible, for reactions without a reverse reaction rate constant, it can be calculated by the ratio of the forward reaction rate constant to the equilibrium constant. the decomposition components of C4F7N/CO2 under three different proportions are analyzed. In addition,the main formation pathways of each component are analyzed. © 2024 IEEE.

关键词： Rate constants

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Unlocking New Opportunities for Crop Management through Hyper Spectral Image Analysis 5th

Unlocking New Opportunities for Crop Management Through Hype...

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5th international conference on data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Kumar, R. M. Sunil Agarwal, Trapty Mehta, Deepak Singh, Arjun School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Electronic and Communication Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India

ISBN: (纸本)9789819780426

Hyper spectral imaging has emerged as a reliable and accurate method of crop management. the era involves the usage of a couple of sensors of varying bandwidths to collect records throughout the complete electromagnetic spectrum. By using collecting data in dozens or maybe masses of spectral bands, hyper spectral imaging allows for the extraction of a mess of particular characteristics, making an allowance for extra precise analysis and insights. this technology lets in for stepped forward measurement and yields, permitting higher crop identity and classifications, in addition to stepped forward crop overall performance and yields. It is able to also potentially help to discover undesirable characteristics of a crop, such as disorder, nutrient deficiencies, or pest infestations. the analysis of hyper spectra also can be useful for assessing in-season stress elements, together with water deficiency, high temperatures, or competition with weeds. the use of hyper spectral imaging to research crops offers a huge range of potential packages, from monitoring growers’ fields to developing irrigation recommendation. By way of capitalizing on this effective new era, growers can gain extraordinary perception into crop health, permitting them to make informed decisions on how excellent to optimize their management techniques. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： First Keyword Second Keyword third Keyword

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Research on Relationship Extraction for Constructing Knowledge Graphs 5

Research on Relationship Extraction for Constructing Knowled...

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5th international conference on Computer Information Science and Application technology, CISAT 2022

作者： Lou, Chang Jia, Xiaoxia Xia, Xiaokai North China Institute of Computing Technology 211 North Fourth Ring Middle Road Haidian District Beijing100089 China

ISBN: (纸本)9781510660076

A knowledge graph, consisting of concepts, entities, and their relationships, is the most effective way to handle vast amounts of information. this study presents a relationship extraction approach for designing and constructing a graph structure, given that current domain knowledge graphs are unable to identify links between various kinds of data structures utilizing particular building methods. data from the Network Encyclopedia's categorization system and web page classification labels, both structured and semi-structured, provide the basis for hyponymy. Non-superior connections are covered as well. the convolution residual network that is based on cross-entropy loss function has also been enhanced as a consequence of the suggested solution. Using a comparable existing item as a reference, we evaluate the design to see whether it performs as predicted. © 2022 SPIE.

关键词： Knowledge graph

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A high-efficiency data compression and visualization method for large complex BIM model 4

A high-efficiency data compression and visualization method ...

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4th international conference on Geology, Mapping, and Remote Sensing, ICGMRS 2023

作者： Tang, Aowei Kuai, Xi He, Biao Xu, Hai Zhou, Xing Hao Zhang, Heng Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural Resources Shenzhen University Shenzhen518060 China Research Institute for Smart Cities School of Architecture and Urban Planning Shenzhen University Shenzhen China Shenzhen Key Laboratory of Digital Twin Technologies for Cities Shenzhen China

ISBN: (纸本)9781510672741

Building information modeling (BIM), with the accurate representation of building geometry structure and component composition, has played a significant role in digital twin development and city information modeling (CIM). Owing to the huge volume of data and complex reference relationships between BIM components, there are few applications that can efficiently transfer, store, and smoothly visualize BIM models. In this study, we propose an efficient BIM data compression and visualization method based on instancing storage and scene hierarchy instanced culling (SHIC) instancing rendering. We identify instanced BIM models based on the IFC semantic information and spatial geometry calculations and store them as instances. To avoid CPU-Bound, we partition the instanced BIM models space into clusters and calculate the visibility set with it as a culling unit. We implemented our method on Unreal Engine 5(UE5), used China Resources Building as experimental data, and a series of experiments were designed to illustrate the advantages of our method in terms of data compression and rendering efficiency. the results show that our method is effective in data compression and keeps a higher frame rate for visualization. © 2024 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Semantics

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An On-Call Shift for Anaesthetist Rostering Problem (ARP): A Mathematical Model 5

An On-Call Shift for Anaesthetist Rostering Problem (ARP): A...

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5th IEEE international conference on Artificial Intelligence in engineering and technology, IICAIET 2023

作者： Abdullah, Norizal Ayob, Masri Sabar, Nasser R. Lam, Meng Chun Yong, Liu Chian Data Mining and Optimisation Lab Faculty of Information Science and Technology Ukm Bangi Selangor 43600 Malaysia La Trobe University Department of Computer Science and Information Technology Melbourne Australia Faculty of Information Science Ukm Bangi Selangor 43600 Malaysia Ukm Medical Centre Department of Anaesthesiology & Intensive Care Jalan Yaacob Latiff Bandar Tun Razak Cheras Kuala Lumpur56000 Malaysia

ISBN: (纸本)9798350304152

this work dealt with a real-world Anaesthetist Rostering Problem (ARP) for an on-call shift. An on-call shift for an anaesthetist had already been resolved under the physician's rostering problem. However, in their work, each individual can be assigned to only one place throughout the daily on-call shift. In addition, no consecutive days are rostered for the on-call shift, and each level of preference for the on-call shift is excluded from the study. this scenario is irrelevant to the real-world ARP of an on-call shift at Hospital Canselor Tuanku Muhriz (HCTM) in Malaysia, as an anaesthetist is rostered for multiple places of the on-call shifts daily. Also, they can be rostered on consecutive days for on-call shifts, and each anaesthetist will be rostered depending on their preference level for the on-call shift. therefore, this work proposes a new mathematical formulation with constraints, parameters, and an evaluation function. We utilise Mixed-integer programming to formulate and solve the model with IBM ILOG CPLEX Optimization Studio. the quality of the solution generated by our model is measured using our proposed evaluation function to minimise the violation of constraints. A case study of real-world data from the HCTM was run and tested to validate the model. the result shows that a new model can produce a better optimal solution, whilst the current solution methodology at HCTM is unable to do. © 2023 IEEE.

关键词： Integer programming

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Prediction of Wind Turbine Blade Fatigue Life Based on GA-BP Neural Network 5

Prediction of Wind Turbine Blade Fatigue Life Based on GA-BP...

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5th international conference on System Reliability and Safety engineering, SRSE 2023

作者： Bi, Junxi Jiao, Jiaming Ma, Hang Ge, Xinyu Wang, Guofu Zhou, Dachuan Inner Mongolia University of Technology Department of Aviation Hohhot China Inner Mongolia University of Technology Department of Mechanical Engineering Hohhot China

ISBN: (纸本)9798350305944

A method for predicting the fatigue life of wind turbine blades based on Genetic Algorithm (GA)-BP Neural Network is proposed to address the issues of harsh operating conditions and complex load conditions for wind turbine blades, as well as the limitations of traditional physical models in predicting blade life. Firstly, a simulation model of the blade is established using finite element method, and the relevant data set of blade stress and fatigue life values is obtained by ANSYS finite element analysis. Secondly, a BP neural network is used to establish a prediction model for blade fatigue life, and genetic algorithm is introduced to optimize the prediction accuracy of the BP neural network. Finally, the GA-BP neural network model is tested and verified using the data set and compared with other network models. the results show that the GA-BP model has higher prediction accuracy, with an average absolute error (MAE), root mean square error (RMSE), and average absolute percentage error (MAPE) of 0.0046, 0.0050, and 0.0693%, respectively, which is better than that of Convolutional Neural Network (CNN), Support Vector Regression (SVR), and traditional BP model, validating its reliability and good prediction performance. © 2023 IEEE.

关键词： Genetic algorithms

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Spatial Filtering for Improved Target Identification from Hyper Spectral Images 5th

Spatial Filtering for Improved Target Identification from Hy...

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5th international conference on data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Agarwal, Trapty Raghavendra, R. Goyal, Rohit Neekhra, Bhavesh Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

Hyper Spectral Imaging (HSI) is a powerful approach used in far flung sensing packages that captures spatially contiguous set of spectrum statistics from a scene. HSI information incorporates beneficial facts about the goals within the scene;however, due to noise and various distortions, it can be tough to discover those objectives. Spatial filtering is a method used to reduce undesirable noise in images if you want to make goal identity easier and extra accurate. On this paper, we endorse a brand new technique evolved for applying spatial filters on HSI pics that utilizes a spatially adaptive sigma clear out to successfully lessen noise and improve target identity accuracy. the advanced method correctly carries spatial variability within the filter length and clear out parameters to obtains progressed goal discrimination overall performance. the proposed technique is evaluated the use of both simulated and actual HSI records sets and effects display progressed target accuracy when as compared to traditional spatial filters. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wiener filtering

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Study on the Detection Method of Driver's Fatigue Based on Machine Vision 5

Study on the Detection Method of Driver's Fatigue Based on M...

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5th international conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2023

作者： Wang, Ying Li, YiMing Wanjiang Institute of Technology Ma’anshan243031 China

ISBN: (纸本)9781839539848

Traffic accident is still an important social problem, and fatigue detection is an important way to solve the problem of fatigue driving. How to pass the non-contact, does not affect the normal driving fatigue detection technology is now a hot spot in the field of automobile fatigue diagnosis. Based on machine vision, this paper provides a method of detecting driver fatigue state. this method collects images wh0en drivers driving by non-contact method. Homomorphic filtering algorithm and Histogram equalization method are used to process each frame to reduce the influence of uneven illumination and enhance the contrast of the image. By detecting human face images, locating the position of human eyes, processing the human eye images, analyzing the state of the human eyes in time, and calculating the "fatigue value" through the PERCLOS standard, the driver's fatigue state can be judged. Experimental results show that this method is a high-precision, non-contact, real-time driver fatigue state detection method. © the Institution of engineering & technology 2023.

关键词： Computer vision

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Construction Site Inspection System Based on Panoramic Image Cloud Processing technology 5th

Construction Site Inspection System Based on Panoramic Image...

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5th EAI international conference on Multimedia technology and Enhanced Learning, ICMTEL 2023

作者： Wu, Caihui Wang, Xiuyi Chen, Bin Deng, Xiaolu Duan, Minghua China Construction Third Bureau Group South China Co. Ltd. Guangzhou510000 China Department of Urban Rail Transit and Information Engineering Anhui Communications Vocational and Technical College Hefei230051 China

ISBN: (纸本)9783031505737

With the acceleration of the pace of urban construction, the number and scale of construction projects are gradually expanding, so it is essential to reduce the frequency of accidents at the construction site. therefore, this study proposes a construction site inspection system based on panoramic image cloud processing technology. First, the panoramic image data of the construction site is collected by the panoramic image technology, and the noise information in the panoramic image is removed after the denoising model is constructed based on the compressed sensing theory. then, MSR algorithm with adaptive scale is applied to enhance the image information. Finally, select the inspection index of construction site, combine with the impact information processing results, evaluate the safety risk level of construction site, and realize the inspection of construction site. the experimental results show that the maximum SNR of the panoramic image of the construction site obtained by the system is 162 dB, and the inspection results of the construction site are consistent with the actual results, which proves that the inspection effect of the system is better. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Inspection

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