Computational Analysis Methods Research Articles

Spatio-Temporal Experience of Tour Routes in the Humble Administrator’s Garden Based on Isovist Analysis

Chinese classical gardens (CCGs), as a distinct spatial category within architectural, historical research, are renowned for creating intricate and ever-changing spatial experiences within confined areas. Despite the existing literature and theories that attempt to explain these rich experiential qualities, many of these explanations need concrete empirical evidence due to the complex nature of gardens, where visual characteristics transform with the movement of people. This study employs a computational analysis method known as isovist to measure the evolving visual features of visitors along four representative pathways within a large-scale garden, the Humble Administrator’s Garden. By analyzing and comparing the changing visual attributes of these four routes, the aim is to validate the relationship between the garden’s pathway system and its spatial structure and assess the influence of pathway selection on the overall garden spatial experience.

The Cilialyzer – A freely available open-source software for the analysis of mucociliary activity in respiratory cells

Background and ObjectivePrimary ciliary dyskinesia (PCD) is a rare genetic disorder causing a defective ciliary structure, which predominantly leads to an impaired mucociliary clearance and associated airway disease. As there is currently no single diagnostic gold standard test, PCD is diagnosed by a combination of several methods comprising genetic testing and the examination of the ciliary structure and function. Among the approved diagnostic methods, only high-speed video microscopy (HSVM) allows to directly observe the ciliary motion and therefore, to directly assess ciliary function. In the present work, we present our recently developed freely available open-source software – termed “Cilialyzer”, which has been specifically designed to support and facilitate the analysis of the mucociliary activity in respiratory epithelial cells captured by high-speed video microscopy. MethodsIn its current state, the Cilialyzer software enables clinical PCD analysts to load, preprocess and replay recorded image sequences as well as videos with a feature-rich replaying module facilitating the commonly performed qualitative visual assessment of ciliary function (including the assessment of the ciliary beat pattern). The image processing methods made accessible through an intuitive user interface allow clinical specialists to comfortably compute the ciliary beating frequency (CBF), the activity map and the “frequency correlation length” – an observable getting newly introduced. Furthermore, the Cilialyzer contains a simple-to-use particle tracking interface to determine the mucociliary transport speed. ResultsCilialyzer is fully written in the Python programming language and freely available under the terms of the MIT license. The proper functioning of the computational analysis methods constituting the Cilialyzer software is demonstrated by using simulated and representative sample data from clinical practice. Additionally, the software was used to analyze high-speed videos showing samples obtained from healthy controls and genetically confirmed PCD cases (DNAI1 and DNAH11 mutations) to show its clinical applicability. ConclusionsCilialyzer serves as a useful clinical tool for PCD analysts and provides new quantitative information awaiting to be clinically evaluated using cohorts of PCD. As Cilialyzer is freely available under the terms of a permissive open-source license, it serves as a ground frame for further development of computational methods aiming at the quantification and automation of the analysis of mucociliary activity captured by HSVM.

Improving the classification of cardinality phenotypes using collections

MotivationPhenotypes are observable characteristics of an organism and they can be highly variable. Information about phenotypes is collected in a clinical context to characterize disease, and is also collected in model organisms and stored in model organism databases where they are used to understand gene functions. Phenotype data is also used in computational data analysis and machine learning methods to provide novel insights into disease mechanisms and support personalized diagnosis of disease. For mammalian organisms and in a clinical context, ontologies such as the Human Phenotype Ontology and the Mammalian Phenotype Ontology are widely used to formally and precisely describe phenotypes. We specifically analyze axioms pertaining to phenotypes of collections of entities within a body, and we find that some of the axioms in phenotype ontologies lead to inferences that may not accurately reflect the underlying biological phenomena.ResultsWe reformulate the phenotypes of collections of entities using an ontological theory of collections. By reformulating phenotypes of collections in phenotypes ontologies, we avoid potentially incorrect inferences pertaining to the cardinality of these collections. We apply our method to two phenotype ontologies and show that the reformulation not only removes some problematic inferences but also quantitatively improves biological data analysis.

Performance parameters, design considerations, social adoption, and computational techniques for solar box cooker development: current status and future possibilities

Practical utility of solar cookers is on rise nowadays. However, due to certain technological challenges this is not catching very fast. Present review paper encompasses studies and future possibilities for solar box cooker research. Various aspects like thermal performance param-eters, various phases of designs improvements, social acceptability issues and computational methods of analysis have been discussed in relation to Solar box cookers so that technical difficulties may be minimized. This paper discusses about introduction to solar box cookers, advantages, disadvantages, various practical considerations that are key factors for any SBC. Further, there is a handsome discussion on the various computational techniques like Com-putational fluid dynamics, Artificial intelligence techniques, IoT etc. Introduction, review of applications till date, and future possibilities related to research using application of these computational techniques have been presented. Emphasis has been given to future possibili-ties for solar box cookers development so that it could be a well-accepted future technology.

Constructivist Referents in Oumar Farouk Sesay’s ‘The Song of the Women of My Land’

The purpose of the research was to examine the constructivist referents in Oumar Farouk Sesay’s poem ‘The Song of the Women of My Land’. This required an analysis and understanding of the referents (terms that clearly and indirectly refer to persons, things or events) and whether the referents were used in the poem to express grief by women. The research questions were as follows: a) Does the poet use referents that suggest the death of traditions that celebrate old women, song bards, and songs from the past more than any other word? b) Is the poet more likely to employ poetic allusions to indicate negative constructivism? and c) Is the poem’s use of prosodic features related to the message? This study used computational and content analysis methods, which incorporate a careful poetry-reading critical approach, to identify and calculate constructivist referents. The referents were then manually broad-coded to include whole lines and verses. The exact words, phrases, and sentences related to the topic were coded and their frequency was determined. These were calculated by counting the number of times a referent appeared. The themes were then selected and interpreted, with a focus on relating them to the poem’s constructivist viewpoint. Finally, the main prosodic elements of the poem, as well as the referents that create them, were established. The results show that most referents by African poets are used to emphasise that traditional culture is dying and that the referents romanticise the fleeting nature of beauty in poetry and the pacifying effects of rural pastimes.

Substantiating a method for computer analysis of the stress-strain state of the tubbing erector manipulator mechanism

Purpose. To develop and substantiate a method for computer analysis of the stress-strain state that occurs in the tubbing erector manipulator mechanism with several degrees of freedom, using modern computing complexes based on the finite-element method. Methodology. The research uses software complexes, with the help of which a calculation-theoretical apparatus has been created, which is intended for calculating dynamic and static loads that occur in the elements of the tubbing erector manipulator mechanism. The results of modeling the stress-strain state in the parts and nodes of this mechanism, obtained using the SolidWorks Motion and SolidWorks Simulation programs, have been compared. The errors in these results have been estimated. Findings. The effectiveness of the proposed analysis method, based on the combination of SolidWorks applications, in particular, SolidWorks Motion and SolidWorks Simulation, has been proven on the example of modeling the most complex design of the UT62 tubbing erector mechanism. Originality. For the first time, a method for computer analysis of the stress-strain state that occurs in the tubbing erector manipulator mechanism of the UT62 type has been developed and substantiated. The essence of the method is that initially, using the SolidWorks Motion application, the laws of motion of the motors are set. The tubbing erecting process itself is divided into discrete moments of time with the selection of parts in which the stress fields are calculated and with the determination of the maximum equivalent stress, using the Simulation Setup tool. The change in these stresses during the erecting cycle is analyzed, and if it is necessary to refine the data, the discrete time step of the mechanism motion is reduced. Specific information about the stress-strain state of the part is obtained in the SolidWorks Simulation application, using data imported from the SolidWorks Motion program about gravitational and inertial forces that occur in the tubbing erector mechanism. Practical value. The proposed method can be used for modeling the motion of mechanisms of different complexity, in particular, in the design of domestic tubbing erectors.

Разработка контроллера цифрового датчика положения и его программного обеспечения

For the operation of electric drives control systems, closed on the target coordinate of control – speed or position of actuator, an informational and measuring subsystem, formed by hardware and software to detect, capture and process signals from sensors, is required. The functionally completed and independent elements of such a subsystem are the controllers of each of the sensors, including digital position sensors, also used to measure the speed of motion. When developing such a controller, it is necessary to take into account the requirements for control system, performances of sensors and their signals, the form of position measurement result, the technique of the sensor interfacing with the control system, the features of hardware and software computing resources, including execution time. Thus, the development of a digital position sensor controller and its software is an actual problem. When developing the controller, methods of computational mathematics and system analysis, methods of model-based programming, methods of software developing and debugging, as well as methods of experimental research were applied. An algorithmic description of the digital position sensor controller is proposed for converting the angular position of the electric drive shaft, which changes cyclically within one revolution during rotation, into its rotation angle, which has wide limits of change. Also, the measuring of rotation speed of the electric drive shaft is algorithmically described by calculating the increment of its angular position during the observation interval. The software for this controller has been developed, which can serve as a typical element for microprocessor control systems for electric drives. When developing a controller for a digital position sensor, as well as other elements of the informational and measuring subsystem of closed-loop electric drives, it is necessary to take into account the performances of various technical means and requirements for the control system. Successful development is contributed by the use of modern microcontrollers with built-in specialized modules for detecting, capturing and processing signals, as well as the use of detailed computational algorithms and mathematical methods that are the least expensive in terms of execution time.

Bibliometric Computational Mapping Analysis of Learning Video in Beauty Field (Vocational High School & University) Using VosViewer

This study aims to analyze the use of learning videos in Beauty Vocational Schools and Beauty study programs at the University level between 2013 and 2023 using bibliometric computational mapping analysis methods. Publish or Perish (PoP) software was used to collect publication data from the Google Scholar database using the keywords "Video Tutorial" AND "SMK" AND "Beauty". The search through Publish or Perish resulted in 285 articles. After elimination and rechecking, 78 articles were analyzed using VosViewer. The analysis results show that the number of publications related to this topic between 2013-2023 is still small, the highest number of publications occurred in the year "2022" with a total of "28" articles, while the lowest was in the year "2013-2015", where each year only "1" article was published. Keyword co-occurrence analysis using VOSViewer resulted in 12 terms grouped into 5 clusters. Network and density visualization showed several keywords that frequently appeared, namely video tutorials, video tutorial media and learning media. In addition, the overlay visualization illustrates keywords that have been trending in recent years namely video, video tutorial, learning video and learning media. Based on data analysis, it can be concluded that research related to the creation and utilization of video tutorials in learning in the field of beauty is still very little and not varied. There are still many subjects in Beauty Vocational Schools or courses in Beauty study programs that do not have video tutorials. This is an opportunity for academics and researchers in the field of Beauty.

Assessing the accuracy of modeling the tubbing erector manipulator mechanism in solidworks motion program

Purpose. To estimate the calculation error in determining the kinematic and dynamic characteristics of the UT62 tubbing erector manipulator mechanism movement. Methodology. Modern computer analysis methods are used, which are implemented in a number of computing complexes. Due to the task complexity, a mathematical model for the manipulator mechanism fragment, which is a hydraulic cylinder with two degrees of freedom, has been developed to estimate the error of computer modeling. This model is used as a test model. Findings. On the example of the model study, it is shown that when simulating the mechanism movement, errors in the calculations are possible due to incorrect problem formulation, as well as to the inaccurate settings of the modules for converting the initial data. Under these circumstances, it has been concluded that when the input link movement is specified as a vector, then when determining the kinematic and dynamic characteristics of the mechanism, it is necessary to use a cubic spline in the “interpolator” module. Originality. For the first time, the direct problem of the manipulator mechanism dynamics has been solved, which consists in determining the static and dynamic characteristics of the device according to the given motion law of its drives. It is noted that when the motion is specified in the form of smooth analytical functions, then there is a complete coincidence of the calculation results performed by the SOLIDWORKS MOTION program with those obtained by mathematical modeling. In addition, when the mechanism link input movement is modeled as a vector, which is formed from a discontinuous function, then the cubic spline used in the “interpolator” module provides smooth harmonic functions of the movement, acceleration and jerk processes. As a result of modeling the manipulator mechanism parameters, it turned out that it is not expedient to use more than 50 points of discrete time in the research. Thus, the errors in calculating the maximum power values of the manipulator motors do not exceed 20 % for the power hydraulic cylinder and 5 % for the hydraulic motor. Practical value. The proposed algorithm can be used to model the movement of complex mechanisms in machines.

Linear programming based lower bounds on average dwell-time via multiple Lyapunov functions

With the objective of developing computational methods for stability analysis of switched systems, we consider the problem of finding the minimal lower bounds on average dwell-time that guarantee global asymptotic stability of the origin. Analytical results in the literature quantifying such lower bounds assume existence of multiple Lyapunov functions that satisfy some inequalities. For our purposes, we formulate an optimization problem that searches for the optimal value of the parameters in those inequalities and includes the computation of the associated Lyapunov functions. In its generality, the problem is nonconvex and difficult to solve numerically, so we fix some parameters which results in a linear program (LP). For linear vector fields described by Hurwitz matrices, we prove that such programs are feasible and the resulting solution provides a lower bound on the average dwell-time for exponential stability. Through some experiments, we compare our results with the bounds obtained from other methods in the literature and we report some improvements in the results obtained using our method.

Fractal dimension to characterize interactions between blood and lymphatic endothelial cells

Spatial patterning of different cell types is crucial for tissue engineering and is characterized by the formation of sharp boundary between segregated groups of cells of different lineages. The cell−cell boundary layers, depending on the relative adhesion forces, can result in kinks in the border, similar to fingering patterns between two viscous partially miscible fluids which can be characterized by its fractal dimension. This suggests that mathematical models used to analyze the fingering patterns can be applied to cell migration data as a metric for intercellular adhesion forces. In this study, we develop a novel computational analysis method to characterize the interactions between blood endothelial cells (BECs) and lymphatic endothelial cells (LECs), which form segregated vasculature by recognizing each other through podoplanin. We observed indiscriminate mixing with LEC−LEC and BEC−BEC pairs and a sharp boundary between LEC−BEC pair, and fingering-like patterns with pseudo-LEC−BEC pairs. We found that the box counting method yields fractal dimension between 1 for sharp boundaries and 1.3 for indiscriminate mixing, and intermediate values for fingering-like boundaries. We further verify that these results are due to differential affinity by performing random walk simulations with differential attraction to nearby cells and generate similar migration pattern, confirming that higher differential attraction between different cell types result in lower fractal dimensions. We estimate the characteristic velocity and interfacial tension for our simulated and experimental data to show that the fractal dimension negatively correlates with capillary number (Ca), further indicating that the mathematical models used to study viscous fingering pattern can be used to characterize cell−cell mixing. Taken together, these results indicate that the fractal analysis of segregation boundaries can be used as a simple metric to estimate relative cell−cell adhesion forces between different cell types.

Flutter in a simplified blade cascade: Limits of the quasi-steady approximation

Flow-induced vibration in turbomachinery represents a major and persistent concern, especially in modern turbine and compressor designs with long and slender blades operating in transonic flow conditions. There is a wide range of computational and experimental methods for blade flutter prediction and analysis. In certain situations, the quasi-steady approximation can be utilized, considering the unsteady flow as a sequence of steady flow fields for each position of the oscillation cycle. The study is focused on experimental investigation of the limits of applicability of the quasisteady approximation in the case of a simplified linear five-blade cascade with the middle blade undergoing high-frequency torsional oscillation due to kinematic excitation. A measurement campaign of more than 100 wind tunnel runs was carried out for flow velocities ranging from high subsonic to transonic regimes (M = 0, 0.529, 0.777 and 1.018), frequency ratios 0 - 0.75 and reduced frequencies k = 0 – 0.41. A comparison of quasi-steady and time-resolved blade surface pressure measurements is reported, and the degree of unsteadiness of the airflow is quantified. For low reduced frequencies the stationary distributions match almost perfectly the time-resolved profiles. The degree of unsteadiness remains below 2% up to k = 0.1 for the subsonic and supercritical flow regimes. For reduced frequencies above 0.2, the global degree of unsteadiness increases quickly up to 10%, with local differences between the stationary and time-resolved pressure profiles up to 40%. In the case of transonic flow regime, the flow unsteadiness is generally higher and further complicated by intermittency — stochastic transition from supersonic to subsonic flow in the aft part of the blade.

Space–time computational flow analysis: Unconventional methods and first-ever solutions

The Deforming-Spatial-Domain/Stabilized Space–Time (DSD/SST) method was introduced in 1990 as a moving-mesh method for computational analysis of flows with moving boundaries and interfaces (MBI), which is a wide class of problems that includes fluid–particle and fluid–structure interactions and free-surface and multi-fluid flows. The method was inspired by Thomas Hughes’s 1987 work on space–time finite element methods for elastodynamics. The original DSD/SST method is now called “ST-SUPS”, reflecting its stabilization components, which are the Streamline-Upwind/Petrov–Galerkin (SUPG) method, pioneered by Hughes, and the Pressure-Stabilizing/Petrov–Galerkin (PSPG) method, inspired by Hughes’s work on a Stokes-flow Petrov–Galerkin formulation allowing equal-order interpolations for velocity and pressure. Hughes’s work on the residual-based variational multiscale (RBVMS) method inspired the ST-VMS method, which is the VMS version of the DSD/SST. A number of special methods were introduced in connection with the core methods ST-SUPS and ST-VMS. Hughes’s work on isogeometric analysis (IGA) inspired one of those special methods, the “ST-IGA”, with IGA basis functions not only in space but also in time. The core and special ST methods enabled first-ever solutions in some of the most challenging classes of MBI problems, including particle-laden flows, spacecraft parachute fluid–structure interactions, and car and tire aerodynamics. We provide an overview of the ST methods inspired by Hughes’s work and highlight some of the first-ever solutions in these three classes of MBI problems.

Computational methods of EEG signals analysis for Alzheimer’s disease classification

Computational analysis of electroencephalographic (EEG) signals have shown promising results in detecting brain disorders, such as Alzheimer’s disease (AD). AD is a progressive neurological illness that causes neuron cells degeneration, resulting in cognitive impairment. While there is no cure for AD, early diagnosis is critical to improving the quality of life of affected individuals. Here, we apply six computational time-series analysis methods (wavelet coherence, fractal dimension, quadratic entropy, wavelet energy, quantile graphs and visibility graphs) to EEG records from 160 AD patients and 24 healthy controls. Results from raw and wavelet-filtered (alpha, beta, theta and delta bands) EEG signals show that some of the time-series analysis methods tested here, such as wavelet coherence and quantile graphs, can robustly discriminate between AD patients from elderly healthy subjects. They represent a promising non-invasive and low-cost approach to the AD detection in elderly patients.

Neural networks vs. splines: advances in numerical extruder design

In this paper, we present a novel approach to geometry parameterization that we apply to the design of mixing elements for single-screw extruders. The approach uses neural networks of a specific architecture to automatically learn an appropriate parameterization. This stands in contrast to the so far common user-defined parameterizations. Geometry parameterization is crucial in enabling efficient shape optimization as it allows for optimizing complex shapes using only a few design variables. Recent approaches often utilize computer-aided design (CAD) data in conjunction with spline-based methods where the spline’s control points serve as design variables. Consequently, these approaches rely on the design variables specified by the human designer. This approach results in a significant amount of manual tuning to define a suitable parameterization. In addition, despite this effort, many times the optimization space is often limited to shapes in close proximity to the initial shape. In particular, topological changes are usually not feasible. In this work, we propose a method that circumvents this dilemma by providing low-dimensional, yet flexible shape parametrization using a neural network, which is independent of any computational mesh or analysis methods. Using the neural network for the geometry parameterization extends state-of-the-art methods in that the resulting design space is not restricted to user-prescribed modifications of certain basis shapes. Instead, within the same optimization space, we can interpolate between and explore seemingly unrelated designs. To show the performance of this new approach, we integrate the developed shape parameterization into our numerical design framework for dynamic mixing elements in plastics’ extrusion. Finally, we challenge the novel method in a competitive setting against current free-form deformation-based approaches and demonstrate the method’s performance even at this early stage.

Lethal Words: An Integrated Model of Violent Extremists’ Language

Violent extremists’ communications regularly yield lethal consequences. Yet despite this importance, no clear framework yet exists that exposes in a coherent way the various markers of violent extremist language. We construct a theoretical model of violent extremists’ language, integrating and refining existing approaches from different academic fields into a comprehensive account of its semantic content and structure. We evidence the empirical accuracy of this model by applying on the magazines of two ideologically different extremist groups (ISIS and US National-Socialist Movement) a bespoke computational text analysis method revealing the specific connections between the nouns, verbs, and adjectives of violent extremist corpora identified in our theoretical model.

A comparison of past and present computational methods for shape analysis of double-shell x-ray radiographs.

Implosion symmetry is a key requirement in achieving a robust burning plasma in inertial confinement fusion experiments. In double-shell capsule implosions, we are interested in the shape of the inner shell as it pushes on the fuel. Shape analysis is a popular technique for studying said symmetry during implosion. Combinations of filtering and contour-finding algorithms are studied for their promise in reliably recovering Legendre shape coefficients from synthetic radiographs of double-shell capsules with applied levels of noise. A radial lineout max(slope) method when used on an image pre-filtered with non-local means and a variant of the marching squares algorithm are able to recover p0, p2, and p4 maxslope Legendre shape coefficients with mean pixel discrepancy errors of 2.81 and 3.06, respectively, for the noisy synthetic radiographs we consider. This improves upon prior radial lineout methods paired with Gaussian filtering, which we show to be unreliable and whose performance is dependent on input parameters that are difficult to estimate.

An Expedited Route to Optical and Electronic Properties at Finite Temperature via Unsupervised Learning.

Electronic properties and absorption spectra are the grounds to investigate molecular electronic states and their interactions with the environment. Modeling and computations are required for the molecular understanding and design strategies of photo-active materials and sensors. However, the interpretation of such properties demands expensive computations and dealing with the interplay of electronic excited states with the conformational freedom of the chromophores in complex matrices (i.e., solvents, biomolecules, crystals) at finite temperature. Computational protocols combining time dependent density functional theory and ab initio molecular dynamics (MD) have become very powerful in this field, although they require still a large number of computations for a detailed reproduction of electronic properties, such as band shapes. Besides the ongoing research in more traditional computational chemistry fields, data analysis and machine learning methods have been increasingly employed as complementary approaches for efficient data exploration, prediction and model development, starting from the data resulting from MD simulations and electronic structure calculations. In this work, dataset reduction capabilities by unsupervised clustering techniques applied to MD trajectories are proposed and tested for the ab initio modeling of electronic absorption spectra of two challenging case studies: a non-covalent charge-transfer dimer and a ruthenium complex in solution at room temperature. The K-medoids clustering technique is applied and is proven to be able to reduce by ∼100 times the total cost of excited state calculations on an MD sampling with no loss in the accuracy and it also provides an easier understanding of the representative structures (medoids) to be analyzed on the molecular scale.

320 Deep-Learning Cortical Thickness Analysis as Predictor for Shunt Surgery Effectiveness in Possible iNPH Patients

INTRODUCTION: While optimal treatment for iNPH is quite known, diagnosis remains a topic of debate, with different procedures suggested as potential predictors for shunt surgery effectiveness. Various tests, biomarkers, and neuroimaging techniques can be used; however, the diagnostic accuracy is below optimal when performed with neuroimaging techniques alone and not always cost-effective when achieved with CSF biomarkers. Quantitative computational methods for cortical thickness analysis have become available in the last decade, and they only require regularly available T1-weighted brain MR images. METHODS: We analyzed 294 total patients referred to our clinic from January 2015 until December 2021. After exclusion criteria, the final sample consisted of 98 possible iNPH patients: 64 were diagnosed as probable iNPH and underwent VPS surgery, while 34 did not receive a surgical indication after diagnostic procedures. We investigated differences in cortical thickness for all possible iNPH patients using a public deep-learning based neuroimaging pipeline composed by an advanced semantic segmentation neural network architecture and automated surface-based cortical thickness analysis. RESULTS: In 38 total patients with a negative CSFTT or not responsive to shunt surgery, a significant localized cortical thinning was seen in the lateral surface of the frontal and parietal lobes (bilateral superior and middle frontal gyrus, bilateral pars opercularis, bilateral superior parietal gyrus, bilateral supramarginal gyrus, left inferior parietal gyrus, bilateral precuneus). CONCLUSIONS: Preoperative cortical thickness is a feasible analysis that might be useful in defining the optimal therapeutic plan for possible iNPH patients. A large multicentric study is encouraged to elucidate specific patterns and ratios of cortical thickness that might be used as potential predictors for shunt surgery effectiveness.

Modeling and Simulation of Hydraulic Buffer in the Gatling Gun

For the gatling weapon, due to its high firing rate and the complex characteristics of recoil, reducing the recoil resistance and enhancing firing precision becomes an important research topic for the improvement of the performance of gatling weapon system. In this paper, a spring-hydraulic floating buffer device was designed as the whole gun buffer. Based on the computational fluid dynamics numerical analysis method, a calculation model of the hydraulic buffer in the gun was established. ADAMS was used to simulate the buffer, and the recoil force of automata was obtained. By comparing the simulation results with the actual test results, the correctness of the calculation and simulation methods is verified, and a technical route combining simulation calculation and test is obtained, which lays a foundation for the practical engineering application and the hydraulic buffer design.