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Sentiment analysis algorithm Based on Dance Rhythmic and Melodic Features

EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS 2024年第3期11卷 1-11页

作者： Chen, Zhe Shandong Art Inst Dance Acad Jinan 250000 Peoples R China

INTRODUCTION: Dance is not only able to strengthen the body but also an expression of art. It can not only express the culture of a nation or a country but also express the emotions of a country. Therefore, it is essential to utilize algorithms for the study of dance rhythm and melodic characteristics in today's world, and introduces a sentiment analysis algorithm for the study. OBJECTIVES: To disseminate our traditional dance culture, carry forward the spirit of our traditional art, enhance the creative level of our dance art, improve the current dance art in our country can not better apply the algorithm, and solve the problem that our current sentiment analysis algorithm can not be combined with art disciplines. METHODS: Use the neural network and deep learning in sentiment analysis to establish a sentiment analysis algorithm adapted;then use the sentiment analysis algorithm to calculate the in-depth filtering of the dance rhythm and melodic characteristics of the research object;finally, the heat map of the dance rhythm and melodic characteristics of the SRD is calculated according to the experiment of the algorithm. RESULTS: The core influencing factors of dance rhythm and melodic features are found to be attention mechanism and LMT through heat analysis (knowledge map);the experimental results using the sentiment analysis algorithm can be found to have a significant mediating effect on the joint enhancement of dance rhythm and melodic sense. CONCLUSION: The development of dance art not only lies in communication and integration but also combination with contemporary computer technology;using sentiment analysis algorithms can better analyze the dance rhythm and melodic characteristics;therefore, the level of algorithm application in the field of dance art should be improved.

关键词： dance rhythm melodic characteristics sentiment psychology analysis algorithm

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Optical and geometric property classification of natural aerosol types with a large open chamber system and multi-wavelength elastic polarized LiDAR

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ENVIRONMENTAL POLLUTION 2025年 372卷 125977页

作者： Shin, Juseon Kim, Dukhyeon Ku, Hyeyun Noh, Youngmin Pukyong Natl Univ Div Earth Environm Syst Sci 45 Yongso Ro Busan 48513 South Korea Hanbat Natl Univ Sch Basic Sci Daejeon South Korea Agcy Def Dev R&D Inst 3 Directorate 5 Daejeon South Korea

Natural aerosols, originating from uncontrollable processes, are widely distributed and often interfere with the remote sensing of anthropogenic aerosols. This interference occurs because distinguishing between particle types is challenging when they coexist. Despite their significant impact on radiative forcing and climate, research on natural aerosols remains limited due to their unpredictable nature. To address this, we implemented a pilot-scale open chamber system coupled with multi-wavelength elastic polarized LiDAR. This system enables the separation of target particles from ambient aerosols, enabling the development of a specialized analysis algorithm that calculates optical parameters-such as the Angstrodm Exponent (AE) and depolarization ratio (delta)- which serve as unique "fingerprints" for distinguishing aerosol types. Our experiments included some natural particles, such as yeast, whey protein, fly ash, flour, pine tree pollen, and kaolinite. Distinct optical properties were observed, with yeast exhibiting high delta values at 532 nm (0.31 +/- 0.09) and 1064 nm (0.06 +/- 0.01). Whey protein and fly ash were distinguishable based on AE values of -0.23 +/- 1.16 and 0.31 +/- 0.59, respectively. Pollen, another key natural aerosol, showed delta values of 0.33 +/- 0.03 at 532 nm and 0.04 +/- 0.01 at 1064 nm, enabling clear differentiation from other aerosol types. By incorporating infrared wavelengths into our LiDAR system, we enhanced the accuracy of aerosol characterization. This study highlights the approach for distinguishing natural aerosols and lays the groundwork for continuous monitoring systems to understand their atmospheric and climatic impacts better.

关键词： Angstrom exponent Depolarization ratio Optical fingerprint analysis algorithm

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Artificial intelligence and hyperspectral imaging for image-guided assistance in minimally invasive surgery

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CHIRURGIE 2022年第10期93卷 940-947页

作者： Chalopin, Claire Nickel, Felix Pfahl, Annekatrin Koehler, Hannes Maktabi, Marianne Thieme, Rene Sucher, Robert Jansen-Winkeln, Boris Studier-Fischer, Alexander Seidlitz, Silvia Maier-Hein, Lena Neumuth, Thomas Melzer, Andreas Mueller-Stich, Beat Peter Gockel, Ines Univ Leipzig Innovat Ctr Comp Assisted Surg Semmelweisstr 14 D-04103 Leipzig Germany Univ Klinikum Heidelberg Klin Allgemein Viszeral & Transplantat Chirurg Heidelberg Germany Univ Klinikum Leipzig Klin & Poliklin Viszeral Transplantat Thorax & Ge Leipzig Germany Klinikum St Georg Leipzig Abt Allgemein Viszeral & Onkol Chirurg Leipzig Germany Deutsch Krebsforschungszentrum Div Intelligent Med Syst Heidelberg Germany

Background Intraoperative imaging assists surgeons during minimally invasive procedures. Hyperspectral imaging (HSI) is a noninvasive and noncontact optical technique with great diagnostic potential in medicine. The combination with artificial intelligence (AI) approaches to analyze HSI data is called intelligent HSI in this article. Objective What are the medical applications and advantages of intelligent HSI for minimally invasive visceral surgery? Material and methods Within various clinical studies HSI data from multiple in vivo tissue types and oncological resections were acquired using an HSI camera system. Different AI algorithms were evaluated for detection and discrimination of organs, risk structures and tumors. Results In an experimental animal study 20 different organs could be differentiated with high precision (> 95%) using AI. In vivo, the parathyroid glands could be discriminated from surrounding tissue with an F1 score of 47% and sensitivity of 75%, and the bile duct with an F1 score of 79% and sensitivity of 90%. Furthermore, ex vivo tumor tissue could be successfully detected with an area under the receiver operating characteristic (ROC) curve (AUC) larger than 0.91. Discussion This study demonstrates that intelligent HSI can automatically and accurately detect different tissue types. Despite great progress in the last decade intelligent HSI still has limitations. Thus, accurate AI algorithms that are easier to understand for the user and an extensive standardized and continuously growing database are needed. Further clinical studies should support the various medical applications and lead to the adoption of intelligent HSI in the clinical routine practice.

关键词： Visceral surgery Tumor Risk structures analysis algorithm Perfusion measurement

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Design of Communication Maintenance Automation Tools for Differential AC Protection Services

International Core Journal of Engineering

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International Core Journal of Engineering 2024年第1期10卷 284-287页

作者： Lei Wang Yan Liu Yizhan Quan

With the rapid development of the power grid and communication network, the production control business carried by the communication network, such as differential AC protection, presents characteristics of "wide coverage, large number of businesses, and complex channel modes." Currently, due to the lack of automatic analysis tools, traditional offline manual methods are still employed when performing communication maintenance impact verification and other tasks, which is time-consuming, laborious and inefficient. This paper designs an analysis tool for communication maintenance impact under the existing Telecommunications Management System (TMS) of the State Grid Corporation, establishing a unified routing ledger and bearer relationship for production control businesses such as differential AC protection, and automatically verifies various production control business channels during maintenance using a rule-based resource impact analysis algorithm.

关键词： Management System analysis algorithm Relationship

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Analytical algorithm of longitudinal bending stiffness of shield tunnel considering longitudinal residual jacking force

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TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY 2023年第1期137卷

作者： Huang, Dawei Jiang, Hao Xu, Changjie Li, Xue Zhan, Tao East China Jiaotong Univ State Key Lab Performance Monitoring & Protecting Nanchang 330013 Peoples R China East China Jiaotong Univ Engn Res Ctr Railway Environm Vibrat & Noise Minist Educ Nanchang 330013 Peoples R China Southwest Petr Univ Sch Geosci & Technol Chengdu 610500 Peoples R China Metro Project Management Branch Nanchang Rail Tran Nanchang 330013 Peoples R China

Longitudinal bending stiffness is a fundamental parameter of shield tunnels, and its value directly affects the analysis of their longitudinal response. Existing studies have not considered the tensile stiffness of segment ring joints and longitudinal residual jacking force when determining the value of the longitudinal bending stiffness of an existing shield tunnel. Therefore, through theoretical analysis, this study considered the longitudinal bending deformation under an external load action as two parts, namely the longitudinal bending deformation of the homogeneous pipe and the longitudinal bending deformation induced by the opening of the segment ring joints. An analytical algorithm of the longitudinal bending stiffness of the shield tunnel was obtained, considering that this longitudinal bending stiffness was related to various factors such as the elastic modulus of the material of the segment ring, outer diameter of the shield tunnel, width of the segment ring, number of the segment ring joints and tensile stiffness of the connecting bolt. A scaled shield tunnel model that considered tensile stiffness of the segment ring joints and longitudinal residual jacking force was designed, and longitudinal bending stiffness tests of the model were conducted accordingly. The tests were designed to measure the longitudinal bending defor-mation and opening of the segment ring joints. The validation of the theoretical analysis result based on the test data demonstrates that the longitudinal residual jacking force could only reduce the longitudinal bending deformation and the opening of the segment ring joints at small loads, it had almost no effect under larger loads. The measured longitudinal bending stiffness of the shield tunnel model was generally consistent with that ob-tained using the theoretical algorithm. Thus, in the longitudinal response analysis of the shield tunnel, the effect of the longitudinal residual jacking force on the enhancement of the longitudinal

关键词： Shield tunnel Longitudinal bending stiffness Longitudinal residual jacking force analysis algorithm Model test

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Kinematic edge detection using finite impulse response filters

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NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 2021年 1010卷 165555-165555页

作者： Berggren, M. Caiazza, S. Chera, M. List, J. DESY Notkestr 85 D-22607 Hamburg Germany Univ Hamburg Dept Phys Luruper Chaussee 149 D-22761 Hamburg Germany

Various physics observables can be determined from the localization of distinct edge-like features in distributions of measurement values. In this paper, we address the observation that neither differentiating nor fitting the measured distributions is robust against significant fluctuations in the experimental data. We propose the application of Finite Impulse Response (FIR) filters instead . To demonstrate the method, we consider the typical case in particle physics in which the precise localization of kinematic edges, often blurred by e.g. background contributions and detector effects, is crucial for determining particle masses. We show that even for binned data, typical for high energy physics, the optimal FIR filter kernel can be approximated by the first derivative of a Gaussian (FDOG). We study two highly complementary supersymmetric scenarios that, if realized in nature, could be observed at a future high-energy e(+)e(-) collider such as the International Linear Collider (ILC) or the Compact Linear Collider (CLIC). The first scenario considers the production of (e) over tilde (+/-)-pairs while the second focuses on the (chi) over tilde (+/-)(1) and (chi) over tilde (0)(2)-pair production. We demonstrate that the FIR filter method for edge extraction is superior to previously employed methods in terms of robustness and precision.

关键词： Edge detection FIR filter e(+)e(-) collider Supersymmetry analysis algorithm Mass reconstruction

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Large scale, unbiased analysis of elementary calcium signaling events in cardiac myocytes

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JOURNAL OF MOLECULAR AND CELLULAR CARDIOLOGY 2019年 135卷 79-89页

作者： Tian, Qinghai Schroeder, Laura Schwarz, Yvonne Flockerzi, Aline Kaestner, Lars Zeug, Andre Bruns, Dieter Lipp, Peter Saarland Univ Inst Mol Cell Biol Ctr Mol Signaling PZMS Res Ctr Mol Imaging & ScreeningMed Fac Kirrberger Str 100 D-66421 Homburg Germany Saarland Univ Med Fac Dept Physiol Homburg Germany Hannover Med Sch Cellular Neurophysiol Hannover Germany Saarland Univ Fac NT Expt Phys Saarbrucken Germany

The identification of spatiotemporally restricted Ca2+ signals, Ca2+ sparks, was instrumental for our understanding of cardiac Ca2+ homeostasis. High-speed 2D confocal imaging enables acquisition of such Ca2+ sparks with high-content information but their full appreciation is constrained by the lack of unbiased and easy-to-use analysis tools. We developed a software toolset for unbiased and automatic Ca2+ spark analysis for huge data sets of subcellular Ca2+ signals. iSpark was developed to be scanner and detector independent. In myocytes from hearts subjected to various degrees of hypertrophy we acquired > 5.000.000 Ca2+ sparks from 14 mice. The iSpark-enabled analysis of this large Ca2+ spark data set showed that the highly organized distribution of Ca2+ sparks present in healthy cells disarrayed concomitant with the development of aberrant transverse tubules and disease severity. Thus, iSpark represents a versatile and universal tool for analyzing local Ca2+ signaling in healthy as well as diseased, aberrant local Ca2+ signal transduction. The results from the unbiased analysis of large data sets provide a deeper insight into possible mechanisms contributing to the onset and progression of cardiac diseases such as hypertrophy.

关键词： Ca2+ spark Ultrafast 2D confocal scanning Active RyR cluster registration analysis algorithm Cardiac hypertrophy

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Efficient OLAP algorithms on GPU-accelerated Hadoop clusters

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DISTRIBUTED AND PARALLEL DATABASES 2019年第4期37卷 507-542页

作者： Wang, Hongzhi Wang, Zheng Li, Ning Kong, Xinxin Harbin Inst Technol Harbin Heilongjiang Peoples R China

In the time of big data, on-line analytical processing (OLAP) is an important method to process massive data. In order to realize a system with the capacity of both high storage and high computing power, Hadoop and GPU are both applied in OLAP. In general, three cores of OLAP determines the efficiency of OLAP analysis, which are aggregation of multi-dimensional data, pre-calculation of multi-dimensional data set (Cube) and connection of dimension table and fact table. For the purpose of boosting efficiency, this paper presents optimizing algorithms for each core. Beginning with aggregation on single machine, this paper firstly designs the GPU-based aggregation algorithm. Then, GPU-based Cube algorithm is introduced to accelerate pre-calculation, using inverted index to shrink computation amount. Finally, with new-designed dimension table connecting algorithm and query algorithm, GPU-based OLAP analysis algorithm is presented. Along with corresponding experiments and results, each algorithm shows their ability of boosting efficiency, optimizing GPU-based OLAP analysis on Hadoop.

关键词： OLAP GPU MapReduce Aggregation algorithm Cube algorithm analysis algorithm

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Research and analysis of Statistical Characteristics of Internet Exchange Points 6

Research and Analysis of Statistical Characteristics of Inte...

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6th International Symposium on Computing and Networking (CANDAR) - Across Practical Development and Theoretical Research

作者： Lv, Ting Qin, Donghong Ge, Lina Guangxi Univ Nationalities Sch Informat Sci & Engn Nanning Peoples R China

ISBN: (纸本)9781538691847

With the rapid development of the Internet, Internet exchange point (IXP) is deployed more and more around the world. As IXPs play an increasingly important role in the global Internet structure, IXPs are becoming more and more worthy of attention. However, the researches on IXPs' characteristics and their impacts on the Internet are very of shortage. This paper conducts experimental analysis of IXP based on actual network data. The experimental results show that IXP can improve the network environment and benefit to the overall development of the Internet.

关键词： inter-domain routing Internet exchange points network measuring analysis algorithm

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Mit :: Ai :: Aim :: Aitr-906

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2016年

Mit :: Ai :: Aim :: Aitr-906 by published by

关键词： aitr-906 algorithm analogical design analysis algorithm connection points design design grammar figure grammar grammar rules graph induced role nodes partial match precedent precedent analysis rule rules small graph subgraph isomorphism system

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