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Simulation Modelling and Machine Learning Platform for processing Fluorescence Spectroscopy Data 1

引用

15th International conference on Pattern Recognition and information processing, PRIP 2021

作者： Yatskou, Mikalai M. Apanasovich, Vladimir V. Belarusian State University Minsk220030 Belarus

ISBN: (数字)9783030988838

ISBN: (纸本)9783030988821

A digital computational platform is proposed for processing fluorescence spectroscopy data, which implements complex analysis of experimental information based on the simulation modelling and machine learning algorithms. Data analysis includes partitioning biophysical data into clusters according to the degree of likeness in some measure of similarity, finding the median cluster members (medoids), applying a dimensionality reduction method and visualizing the experimental data in a two-dimensional space. Analysis of the medoids is carried out by analytical or simulation models of optical processes occurring in molecular systems. The visualization of data clusters in the original and transformed feature spaces is done with the aim of user interaction. As a demonstrative example, the platform FluorSimStudio is implemented for processing time-resolved fluorescence measurements (https://***/FluorSimStudio ). The digital platform is an open system and allows addition of complex analysis models, taking into account the development of new modelling and analysis algorithms. © 2022, Springer Nature Switzerland AG.

关键词： Machine learning

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CSVD: a cross-scenario vehicle dataset for multi-object tracking

CSVD: a cross-scenario vehicle dataset for multi-object trac...

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2024 International conference on Image, Signal processing, and Pattern Recognition, ISPP 2024

作者： Li, Xiaolei Zhou, Juefan Xiao, Xingjie Lin, Jiayu Yang, Siyuan Sha, Zongyao Tu, Jianguang School of Remote Sensing and Information Engineering Wuhan University Hubei Province 430079 China Wuhan ALLPRS Remote Sensing Data Technology Co. Ltd. Hubei Province 430079 China

ISBN: (纸本)9781510680425

Leveraging visual sensing technologies for the detection and tracking of vehicles represents a critical application domain for unmanned aerial vehicles (UAVs), notably in challenging operational *** study focuses on enhancing UAV functionalities in intricate environments through the development of a specialized dataset, derived from battlefield scenarios, to facilitate advanced research on vehicle detection and multi-target tracking under complex conditions.A comprehensive collection of vehicular movement videos spanning diverse scenarios was amassed and manually annotated, culminating in the creation of the " Cross-Scenario Vehicle Detection" (CSVD) *** dataset encompasses a wide array of environmental settings, featuring urban landscapes, plains, and forests, across the four seasons, resulting in a total of 13,025 meticulously annotated *** several state-of-the-art deep learning models, we established robust benchmarks for object ***, an extensive evaluation and performance validation were conducted using cutting-edge multi-object tracking algorithms on the CSVD dataset, incorporating diverse assessment *** conducted experiments demonstrate the dataset's robust applicability and versatility, endorsing its effectiveness for the development and evaluation of UAV-based vehicle detection and multi-target tracking systems in complex settings. © 2024 SPIE.

关键词： Aircraft detection

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Proposal of real-time Brillouin optical fiber sensing based on compressed sensing and pattern recognition algorithms 6

Proposal of real-time Brillouin optical fiber sensing based ...

引用

conference on Real-Time Photonic Measurements, Data Management, and processing vi

作者： Wang, Benzhang Zhang, Yupeng Zhou, Fan Ye, Xianlei Quan, Dongliang Hiwing Technol Acad CASIC Innovat & Res Inst Beijing 100074 Peoples R China

ISBN: (数字)9781510646544

ISBN: (纸本)9781510646544;9781510646537

In practical engineering applications, the real-time monitoring of structural physical field is very important, which requires overall performance improvements on the Brillouin optical fiber sensing, including fast measurement, quick data demodulation and small amount of data storage. A novel Brillouin optical time-domain analysis (BOTDA) scheme has been proposed based on compressed sensing and pattern recognition algorithms, which paves the way for the real-time Brillouin optical fiber sensing. In order to test the sensing performance, the Brillouin gain spectrum is measured by the traditional fast BOTDA, where the frequency step and span are 4 MHz and 500 MHz, respectively. By employing the proposed algorithms, the strain information is directly obtained with only 35% of the full data, verifying the feasibility of real-time measurements.

关键词： Brillouin optical fiber sensing Compressed sensing Pattern recognition Real-time measurement

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MOTION MODELING AND ECHO DOPPLER FREQUENCY ANALYSIS OF MILLIMETER WAVE FUZE

MOTION MODELING AND ECHO DOPPLER FREQUENCY ANALYSIS OF MILLI...

引用

IET International Radar conference 2023, IRC 2023

作者： Wei, Yingzhen Li, Qi Han, Zhuangzhi Liu, Guangxia School of Electronic and Information Engineering Hebei University of Technology Tianjin300401 China Department of Electronic and Optical Engineering Army Engineering University Shijiazhuang050003 China

ISBN: (纸本)9781839539954

During the process of attacking the target, the artillery shell not only moves in a straight line but also has micro-motions such as spin and conical rotation, which produce micro-Doppler modulation on the echo signal and limit the effectiveness of conventional signal detection algorithms. To eliminate the influence of micro-motion, a warhead motion model is built based on the actual situation. The model determines the positional relationship between the fuze and the target by establishing multiple three-dimensional coordinate systems. It also determines the transformation between coordinate systems according to Rodrigues' rotation formula. Based on the created model, we focused on analysing the micro-Doppler frequency shift caused by micro-motions such as spin, conical rotation, precession, and nutation. The accuracy of the model is verified by simulation analysis, which lays the foundation for using millimeter wave fuze to measure speed and distance. © The Institution of Engineering & Technology 2023.

关键词： Doppler effect

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On Board Communications: systems of Signals processing and Radiofrequency Applications

On Board Communications: Systems of Signals Processing and R...

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systems of Signals Generating and processing in the Field of on Board Communications

作者： S. S. Dymkova Oleg V. Varlamov Institute of Radio and Information Systems (IRIS) Vienna Austria Moscow Technical University of Communications and Informatics Moscow Russia Institute of Radio and Information Systems Vienna Austria

The article discusses the main topics and results of the scientific conference “systems of signals generating and processing in the field of on board communications”, in which leading industry experts annually exchange experience in the areas of: antennas and radio waves propagation, navigation and mathematical algorithms of an object Space orientation, radiofrequency applications, wire and optical communication and control systems, intelligent transport systems and digital signal processing in on-board radio systems.

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Research on Wireless Traffic Prediction Based on Federated Learning and Differential Privacy 4

Research on Wireless Traffic Prediction Based on Federated L...

引用

4th International conference on Telecommunications, Optics, and Computer Science, TOCS 2023

作者： Gao, Xingzhen Zhao, Yuhong School of Information Engineering Inner Mongolia University of Science and Technology Baotou014010 China

ISBN: (数字)9781510679849

ISBN: (纸本)9781510679832

Wireless traffic prediction in wireless communication networks holds significant application value for optimizing resource allocation. However, precise prediction faces numerous challenges due to traffic complexity, diversity, and dynamics. Complex spatiotemporal dependencies exist between regional base stations, requiring accurate capture. Traditional centralized methods necessitate centralized storage and processing of substantial user data, posing high privacy risks and potential leaks. This paper proposes a wireless traffic prediction model combining federated learning and differential privacy to capture fused spatiotemporal features of base stations and enhance predictive performance. Concurrently, existing federated learning systems have been proven to harbor potential threats during the training phase, endangering data privacy. This paper tackles privacy threats by adaptively pruning to safeguard data privacy, achieving privacy protection. Experimental results demonstrate that this model outperforms mainstream algorithms in prediction accuracy and privacy protection, showcasing broad application prospects. © 2024 SPIE.

关键词： Wireless networks

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Research and simulation of adaptive routing mechanism in InfiniBand network 3

Research and simulation of adaptive routing mechanism in Inf...

引用

3rd International conference on Advanced Manufacturing Technology and Manufacturing systems, ICAMTMS 2024

作者： Wu, Ruolan Wan, Wei Li, Junhong School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou450001 China Co. Ltd. Beijing100193 China School of Software Tsinghua University Beijing100084 China

ISBN: (纸本)9781510681804

InfiniBand interconnect network is widely used in parallel computing. Network adapter (HCA) is one of the necessary hardware components for architecture deployment. With the expansion of nodes in parallel computing system, InfiniBand network may have higher performance requirements. However, the current InfiniBand network uses deterministic routing, and adaptive routing can be introduced to meet higher requirements. Because the original InfiniBand protocol is strictly sequence-preserving, adding adaptive routes to the network improves performance but requires out-of-order rearrangement of network cards, which requires a certain cache capability. In this paper, the function extension of InfiniBand protocol is designed to realize the adaptive function and complete the modeling and simulation. Two indexes related to out-of-order are also designed in this paper, and the direct influence of adaptive routing on packet out-of-order and network adapter buffer depth is studied from many aspects. Through the simulation of the above system, the experimental result of All-to-All communication between model nodes shows that under the Greedy and RoundRobin adaptive port selection algorithms, the buffer depth required by the network card is 61 and 62 2KB of packet space, respectively. This provides an estimate of the buffer that the network card needs to handle out-of-order packets. © 2024 SPIE.

关键词： Parallel processing systems

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Examine Bitcoin Price Predictability with Machine Learning algorithms 3

Examine Bitcoin Price Predictability with Machine Learning A...

引用

3rd International conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2022

作者： Shi, Jingwen University of New South Wales Sydney2052 Australia

ISBN: (纸本)9781510661301

As the most-traded digital asset, Bitcoin receives a tremendous increase in investment interests. The primary purpose of this paper is to examine and compare two commonly applied machine learning algorithms on their capability and feasibility in Bitcoin price prediction. The regression models of Extreme Gradient Boosting and Long Short-Term Memory are selected as the investigated objects in this paper. The experiments are evaluated by considering the extra impacts of sample dimensions and time-series frequency, along with the trade-offs between prediction accuracy (measured by residual error) and computational efficiency (measured by computing time). Long Short-Term Memory, as a more convoluted deep learning method, achieves better accuracy when a daily dataset with limited input features is used. However, its predictability has considerably decreased and thus become less efficient than XGBoost, when more peripheral information and higher frequency data points (trading price every 15 minutes) are available. Besides algorithmic complexity, Long Short-Term Memory also takes much longer computing time than Extreme Gradient Boosting, making it a less applicable model to use when dealing with large sample sizes. © 2023 SPIE.

关键词： Parallel processing systems

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Multi-scale fusion clustering algorithm for urban travel features 3

Multi-scale fusion clustering algorithm for urban travel fea...

引用

2023 3rd International conference on Intelligent Traffic systems and Smart City, ITSSC 2023

作者： Zhang, Zixiang Zhao, Zhilong Deng, Jiaming Zhao, Yingying Xu, Tao Henan Key Laboratory of Big Data Analysis and Processing Henan University Kaifeng475004 China Key Laboratory of Geographical Information Science Ministry of Education East China Normal University Shanghai200241 China School of Computer and Information Engineering Henan University Kaifeng475004 China International Education College Henan University Zhengzhou450046 China Henan Technology Innovation Center of Spatio-Temporal Big Data Henan University Zhengzhou450046 China Henan Industrial Technology Academy of Spatio-Temporal Big Data Henan University Zhengzhou450046 China

ISBN: (纸本)9781510672963

Urban travel data typically encompass various temporal and spatial scales and features. Nonetheless, existing traffic travel feature analysis often focuses on a single spatial scale, which may overlook crucial information and hinder features at different scales. Consequently, this could reduce the accuracy of travel pattern recognition. To solve this problem, we introduce a multi-scale fusion transformation algorithm. In our approach, we first establish a multi-level taxi travel data grid system. Then, we apply the I-Clique clustering algorithm to perform grid clustering at each level of the system to identify taxi travel feature regions of different scales. Subsequently, a multi-scale fusion pyramid model is constructed utilizing the acquired travel feature regions at various scales. Finally, we determine the transformation relationships between scales in the pyramid model, enabling the identification of travel feature areas across both known and unknown scales. This approach facilitates the recognition of travel features within cities at any scale. Experimental results demonstrate that the multi-scale fusion transformation algorithm enhances our understanding of spatial aggregation patterns and the hierarchical structure of geographical entities, offering a novel approach for multi-scale urban traffic analysis. © 2024 SPIE. All rights reserved.

关键词： Clustering algorithms

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algorithms for Determining the Location of an Intruder Using das in Space 8

Algorithms for Determining the Location of an Intruder Using...

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8th International conference on information Technology and Nanotechnology, ITNT 2022

作者： Gubareva, Olga Gureev, Vladimir Osipov, Oleg Povolzhskiy State University of Telecommunications and Informatics Samara Russia

ISBN: (数字)9781665485715

ISBN: (纸本)9781665485715

The paper considers algorithms for localizing acoustic sources in two- and three-dimensional space using distributed acoustic sensor (DAS). The tracking based on the methods of processing array signals, the simple triangulation algorithm and use of DAS-based time-of-arrival systems. Experimental studies have been carried out to determine the location of an acoustic source for three-dimensional space. Two configurations of the fiber optic cable arrangement have been studied: one cable in three planes with shifted axis and three cables in three planes. Dependences of the error on the distance to the sound source (signal-to-noise level - 10 dB) are determined for each of the algorithms considered in the work. © 2022 IEEE.

关键词： optical fibers

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