System Analysis Model Research Articles

Mapping landscape in Longshan period’s hierarchical society (3000–2000BCE) of North Loess Plateau: from archaeological predictive model to GIS spatial analysis

On the North Loess Plateau of China, city civilization, social complexity, and stratification emerged during the Longshan period (3000-2000BCE). Based on Geographic Information System (GIS) analysis and archaeological predictive model, we conducted a comparative analysis of environmental characteristics between sites and non-sites, ordinary and walled city sites, as well as large and smaller city sites. Initially, we developed a Binary Logistic Regression (BLR) model to predict the locations of archaeological sites from this period. Our findings indicate a high predictive accuracy of the model, demonstrating a clear environmental preference by the people of the Longshan Period. The presence or absence of the site was found to be influenced by various factors, including temperature, elevation, river distance, and precipitation. Furthermore, we discovered that walled cities had higher environmental requirements compared to ordinary sites. Terrain and land use played a more significant role in shaping prehistoric cities than climate. Lastly, the landscape in the Shimao site, which served as a most crucial and largest settlement centers on the North Loess Plateau (NLP), resembled that of other minor walled cities. Due to its abundant grassland, Shimao relied more on animal husbandry rather than agriculture. The combination of agriculture and animal husbandry has promoted the urbanization processes.

Design and Experimental Study of a Hybrid Micro-Vibration Isolation System Based on a Strain Sensor for High-Precision Space Payloads.

Micro-vibrations significantly influence the imaging quality and pointing accuracy of high-precision space-borne payloads. To mitigate this issue, vibration isolation technology must be employed to reduce the transmission of micro-vibrations to payloads. In this paper, a novel active-passive hybrid isolation (APHI) system based on a strain sensor is proposed for high-precision space payloads, and corresponding theoretical and experimental studies are implemented. First, a theoretical analysis model of the APHI system is established using a two-degrees-of-freedom system, and an integral control method based on strain sensing is presented. Then, an electromagnetic damper, active piezoelectric actuator, and strain sensor are designed and manufactured. Finally, an APHI experimental system is implemented to validate the effectiveness of electromagnetic damping and strain-sensing active control. Additionally, the control effects of acceleration, displacement, and strain sensors are compared. The results demonstrate that strain sensors can achieve effective active damping control, and the control method based on strain sensors can effectively suppress the payload response while maintaining stability. Both displacement and strain sensors exhibit superior suppression effects compared with the acceleration sensor, with the strain sensor showing greater potential for practical engineering applications than the displacement sensor.

Facies analysis and depositional model of the Midcontinent Rift System in Kansas, USA

AbstractThe Midcontinent Rift System of North America is one of the oldest continental rifts but rifting ceased before continental breakup. The southern segment of the Midcontinent Rift System lies in Kansas, USA, where the stratigraphic succession and rift evolution are largely unknown. This study analysed the rift basin infill in this part of the Midcontinent Rift System to propose a depositional model. The Precambrian rift succession was described in discontinuous cores drilled in the Texaco Noel Poersch#1 well in Washington County. Sixteen lithofacies were identified and grouped into four different facies associations (fluvial, aeolian, lacustrine and alluvial fan). Overall, the studied succession comprises continental deposits accumulated dominantly in alluvial and aeolian settings, with the intermittent development of lacustrine systems. The proposed depositional models for the available core intervals indicate cyclic patterns of overfilled and underfilled phases within the rift basin. These changes in the accommodation‐to‐supply ratio were controlled by tectonism and probably modulated by climate during evolution in the syn‐rift phase. This study advances our understanding of variations across the Midcontinent Rift System.

Разработка программного комплекса для испытания цифровых измерительных трансформаторов на вибростенде

The presented work examines a software package for monitoring the condition of a hydraulic servo drive with hydrostatic guides as part of a diagnostic vibration stand for digital transformers. The service life of digital instrument transformers is 25 years, and the calibration interval is 8 years. To achieve such high performance characteristics, it is necessary to conduct a large number of tests for such products. One such test is the vibration test. The uniqueness of the hydraulic drive used in the diagnostic vibration stand lies in its long service life under operational loads (up to 100 million cycles). This reliability is achieved with special hydrostatic guides in the hydraulic drive design and requires special software. The architecture of the software complex for the vibration stand has been created. To test the functionality of the package, simulation modeling of the operation of the components of the software package was performed. Aim. Based on the analysis of the functioning of technological equipment and options for implementing control software, develop the architecture of a software package for implementing a system for condition monitoring of a servo hydraulic drive with hydrostatic guides as part of a diagnostic vibration stand for digital transformers. Materials and methods. The stated scientific problems were solved using methods of system analysis, computer, mathematical and simulation modeling of the interaction of the software complex with the components of the servo hydraulic drive with hydrostatic guides. Results. The main practical result of the research is the development of the architecture of a software package for testing digital instrument transformers on a vibration stand. It is proposed to use cross-platform solutions when implementing the complex software and rely on modern experience in using freely distributed software. Conclusion. The developed architecture of the software package is focused on ensuring the automated operation of servo hydraulic drives, allows you to configure all the necessary equipment parameters, monitor the condition of the equipment using digital data transfer protocols, centrally save and replicate hydraulic drive settings for specific operating conditions on the enterprises. Analysis of implementation options showed that the use of a SCADA system simplifies the process of developing standard projects for dispatch control and data collection and condition monitoring, but at the same time, it has increased complexity at the stage of deployment and operation. The functionality of none of the widespread and reliable SCADA systems covers all the requirements for this project. This particularly applies to USB connectivity and high frequency signal processing required by design requirements. In addition, when using universal SCADA systems, the end user must purchase a license for the RunTime SCADA component.

Models for Decarbonization in the Chemical Industry.

Various technologies and strategies have been proposed to decarbonize the chemical industry. Assessing the decarbonization, environmental, and economic implications of these technologies and strategies is critical to identifying pathways to a more sustainable industrial future. This study reviews recent advancements and integration of systems analysis models, including process analysis, material flow analysis, life cycle assessment, techno-economic analysis, and machine learning. These models are categorized based on analytical methods and application scales (i.e., micro-, meso-, and macroscale) for promising decarbonization technologies (e.g., carbon capture, storage, and utilization, biomass feedstock, and electrification) and circular economy strategies. Incorporating forward-looking, data-driven approaches into existing models allows for optimizing complex industrial systems and assessing future impacts. Although advances in industrial ecology-, economic-, and planetary boundary-based modeling support a more holistic systems-level assessment, more efforts are needed to consider impacts on ecosystems. Effective applications of these advanced, integrated models require cross-disciplinary collaborations across chemical engineering, industrial ecology, and economics.

MANAGEMENT TOOLS TO SUPPORT THE INDUSTRY OF UKRAINE

INTRODUCTION. The relevance of discussing management tools for supporting and revitalizing Ukraine's industry is of paramount importance in the context of contemporary challenges facing the country. Given the geopolitical and economic changes, Ukraine is confronted with the imperative to efficiently utilize resources and tools to support and rejuvenate its industrial sector, with the goal of establishing a resilient economy and addressing threats to national security.
 RESEARCH HYPOTHESIS is that effective management of tools to support and revitalize the industrial sector can contribute to the creation of a sustainable economy in Ukraine and help the country overcome complex challenges associated with geopolitical and economic factors.
 THE AIM of this research is to analyze and propose effective management strategies and tools to support and revitalize Ukraine's industrial sector, with a focus on fostering economic sustainability and addressing challenges arising from geopolitical and economic factors.
 METHODS. The following methods were used for conducting the research: literature analysis, documentary analysis, system analysis, expert surveys, comparative analysis, and scenario modeling.
 FINDINGS. The conducted research has revealed that effective management of tools to support and restore the industry is crucial for creating a sustainable economy in Ukraine and can help the country overcome complex challenges related to geopolitical and economic factors. The results also confirmed the importance of realistic goals, balanced resource allocation, a monitoring and evaluation system, the creation of an investment climate, and collaboration with partners for the successful implementation of recovery programs.
 CONCLUSION. The conclusion of the study highlights that effective management of tools to support and restore Ukraine's industry is critically important for addressing contemporary economic and geopolitical challenges and for creating a sustainable economy. To achieve success in this endeavor, it is essential to establish realistic goals, allocate resources judiciously, implement a monitoring system, foster an investment-friendly climate, and actively collaborate with partners at both the national and international levels.
 KEYWORDS: management tools; industrial support; recovery; economy; conflict; geopolitical factors; resources; monitoring; investments; collaboration.

Food Demand Projection and Consumption Patterns of Urban Households in Nigeria’s Kano State

Changes in population and income are essential components for altering the pattern of food demand. In light of the importance of food demand analysis, this study set out to ascertain urban household consumption trends in Nigeria’s Kano State in order to forecast future demand levels for certain food items. This research contributes to becoming a basis for policymakers to increase food productivity. A household’s cross-sectional survey data elicited through a well-structured questionnaire complemented with an interview schedule from a total of 144 households chosen via a multi-stage sampling procedure was used for the study. The collected data were analyzed using both Linear Approximate/ Almost Ideal Demand System (LA/AIDS) and factor analysis models. Based on empirical evidence, households’ poor purchasing power is owed to high food inflation, which causes them to have low dietary diversity. Besides, the necessary and luxury goods, respectively, were rice, beans, spaghetti, and meat; and millet, yam, Irish potatoes, semovita, fish and groundnut. Meanwhile, maze, garri, and palm oil were established to be inferior commodities. Besides rice and semovita being everyday goods, they demand high price-sensitive commodities. Consequently, to maintain the status quo in the households’ welfare, the onus lies on policymakers to compensate consumers if there is a rise in the prices of local rice, indomie and groundnut oil. The study advises policymakers to increase the productivity of those food items projected to witness the steep-to-gentle rise in demand, and government should endeavour to adopt macro-economic policies with human-face so as to cushion/soften households’ economic hardship in the study area.

A Paradoxical Role for Somatic Chromosomal Mosaicism and Chromosome Instability in Cancer: Theoretical and Technological Aspects.

Somatic chromosomal mosaicism, chromosome instability, and cancer are intimately linked together. Addressing the role of somatic genome variations (encompassing chromosomal mosaicism and instability) in cancer yields paradoxical results. Firstly, somatic mosaicism for specific chromosomal rearrangement causes cancer per se. Secondly, chromosomal mosaicism and instability are associated with a variety of diseases (chromosomal disorders demonstrating less severe phenotypes, complex diseases), which exhibit cancer predisposition. Chromosome instability syndromes may be considered the best examples of these diseases. Thirdly, chromosomal mosaicism and instability are able to result not only in cancerous diseases but also in non-cancerous disorders (brain diseases, autoimmune diseases, etc.). Currently, the molecular basis for these three outcomes of somatic chromosomal mosaicism and chromosome instability remains incompletely understood. Here, we address possible mechanisms for the aforementioned scenarios using a system analysis model. A number of theoretical models based on studies dedicated to chromosomal mosaicism and chromosome instability seem to be valuable for disentangling and understanding molecular pathways to cancer-causing genome chaos. In addition, technological aspects of uncovering causes and consequences of somatic chromosomal mosaicism and chromosome instability are discussed. In total, molecular cytogenetics, cytogenomics, and system analysis are likely to form a powerful technological alliance for successful research against cancer.

A prediction and analysis model of complex system based on extension neural network - taking the prediction and analysis of terrorist events in the big data environment as an example

A prediction and analysis model of complex system based on extension neural network - taking the prediction and analysis of terrorist events in the big data environment as an example

The Practice of Information System Analysis and Design Basedon Flipped-Classroom Model

This article discusses the necessity and implementation of the Flipped-Classroom Model for Information System Analysis and Design. It addresses challenges of the traditional classroom model, such as educational differences, slow updates, and expanding higher education. The Flipped-Classroom Model combines extracurricular learning and in-class practice, fostering independent learning and critical thinking skills. Results show that the experimental group outperformed the control group in final exam scores and lab grades. The model enhances learning outcomes and develops comprehensive abilities and innovation consciousness. This research highlights the importance of the Flipped-Classroom Model, providing valuable references for educational reforms and cultivating student abilities.

Математические модели поддержки управленческих решений по снижению уровня пожарной опасности в административно-территориальных единицах Вьетнама

Purpose. The article classifies and analyzes significant factors affecting fire situation and fire risks in the administrativeterritorial units (ATUs) of Vietnam from 2019 to 2022. Based on this data, mathematical models have been developed to show the relationship between fire risks and influencing factors. Optimal managerial decisions have been formulated to reduce fire risks and the level of fire hazard in Vietnam's ATUs based on the obtained models. Methods. Methods of mathematical statistics, systems analysis, and mathematical modeling were used. Findings. The study analyzed statistical data and developed three multiple regression mathematical models showing the dependence of fire risks on significant factors. Research application field. The results of the study can be used to support managerial decisions to ensure fire safety in Vietnam. Conclusions. The analysis of various significant and less significant factors affecting fire situation draws attention to specialists in fire prevention. The developed mathematical models have a sufficiently high level of adequacy and significance. The application of the managerial decisions derived from these models had a positive impact on reducing fire risks and the level of fire hazard in ATUs. Specifically, the risk of human fatalities in fires (Rf) decreased by 22.1%, the risk of injuries from fires (Ri) decreased by 14%, and the risk of direct fire damage (Rd) decreased by 16.1%. The obtained research results enable the improvement of managerial decisions in fire safety operations and reduce fire hazard levels across the country's territories.

Оптимизация мероприятий технической эксплуатации оросительных систем методами искусственного интеллекта

The purpose of the study is to develop a constructive solution for choosing priority objects of repair and restoration works using artificial intelligence methods in conditions of limited budget financing of operational measures of irrigation systems. The paper uses methods of system analysis and mathematical modeling, including binary variables for discrete optimization using evolutionary genetic programming methods. Based on the analysis of management decision support by means of mathematical support, the use of optimization methods for predicted impacts is justified, including the choice of discrete options to increase the functionality and effectiveness of planned technical operation measures. The allocation of limited financial resources is carried out on the model of multi-criteria optimization, including minimizing irrigation water losses, while increasing the area of irrigated land and increasing the financial indicators of the water management organization, which improves the quality of management impacts. The practical significance of research is determined by the development of innovative tools to solve the problem of allocating limited resources for carrying out repair and restoration work of the municipal water management complex using artificial intelligence methods. The approbation of the proposed solutions, carried out on the materials of the operation service of the State Budgetary Institution of the Republic of Crimea “Crimean Department of Water Management and Melioration”, proved the expediency of large-scale implementation of methods for quantitative assessment of management decisions. The technical and economic indicators of the planned activities correspond to the expected values and ensure the fulfillment of the following requirements: completeness, ensuring that they provide the necessary and sufficient information for decision-making; availability of reliable sources of reliable and accessible data for the information content of indicators and criteria.

A linear Distflow model considering line shunts for fast calculation and voltage control of power distribution systems

The line shunts are usually ignored by various linear power flow (PF) models in power distribution system analysis, planning and optimization. However, “charging effects” from line shunts of underground/submarine power cables would cause non-negligible model errors for these commonly used PF models. In this paper, we propose a modified Linear Distflow model (LinDist) with line shunts, i.e., LinDistS. We also further propose its extensions considering the ZIP load, weakly-meshed topology and unbalanced three-phase systems. Moreover, the linearization error of voltage component is theoretically analyzed. Case studies show that compared with other models, the proposed LinDistS achieves the descent calculation accuracy and efficiency. We also show the application scope of LinDistS by a Volt/VAr control (VVC) framework with distributed generators, mainly photovoltaic (PV), and the non-negligible “charging effect”. Simulation exhibits that with LinDistS, the VVC can optimally dispatch the shunt capacitors and also optimize the real-time reactive power output of PV. Moreover, with LinDistS, the VVC shows better solutions’ consistency and higher computing efficiency compared to traditional VVC methods.

Dynamic analysis of a plate system coupled through several nonlinear spring-mass couplers

Nowadays, plates have been widely used in various engineering fields, where nonlinear additional equipment is designed to control the vibration of plates. However, the current studies mainly concentrate on the single-plate system with nonlinear additional equipment. Seldom studies use nonlinear couplers to connect the plate system, making the working mechanism of nonlinear couplers on the vibration responses of the plate system unclear, limiting the application of nonlinear couplers on vibration control of the plate system. To explore the potential application of nonlinear couplers, this work introduces nonlinear spring-mass couplers to connect the plate system, where the transverse vibration analysis model of the plate system coupled through nonlinear couplers is established. The Galerkin truncation method (GTM) is used to predict vibration responses of the plate system coupled through nonlinear couplers. After ensuring the validation of numerical results, forced vibration responses of the plate system coupled by nonlinear couplers are investigated. According to numerical results, responses in the vibration of the plate system are influenced by nonlinear couplers greatly. Choosing suitable parameters for nonlinear couplers plays an important role in the vibration control of the plate system. Under a certain parameter range of nonlinear couplers, responses in vibration present complex characters. Under complex responses, the target energy transfer is present in the vibration responses of the plate system.

Civil Aircraft Electrical System Development Using Model-Based System Engineering

As one of the key systems of modern civil aircraft, Electrical System (ES) plays an important role in all flight phases of the aircraft. Considering the needs of the electrical system, based on the analysis of interaction process of civil Electrical System design and safety assessment, Doors and Rhapsody are used to accomplish the Requirement Analysis, Functional Analysis and Design Synthesis of electrical system in this paper. The use case model, function analysis model and verifiable state machine model of the electrical system are established to ensure the requirements are accomplished by system architecture. Finally, the interactive interface of panel diagram is developed to complete the simulation of the system model according to design requirements. The simulation shows that Model-Based Systems Engineering (MBSE) can greatly improve the efficiency and accuracy of the development of the electrical system.

A semi-analytical multi-harmonic balance method on full-3D contact model for dynamic analysis of dry friction systems

Dry friction damping structures are widely-used in aero-engines to mitigate vibration. The nonlinear nature of friction and the two-dimensional in-plane motion on the contact interface bring challenges to accurately and efficiently predict the forced response of frictionally damped structures. The state-of-the-art Multi-Harmonic Balance Method (MHBM) on quasi-3D contact model in engineering cannot precisely capture the kinematics on the friction interface although the efficiency is high. The full-3D contact model can describe the constitutive relationship of the interface in a more accurate manner; however, the efficiency and convergence are not guaranteed for large-scale models. In this paper, a semi-analytical MHBM on full-3D contact model is proposed. The original Trajectory Tracking Method (TTM) for evaluating the contact force is reformulated to make the calculation more concise and the derivation of the Analytical Jacobian Matrix (AJM) feasible. Based on the chain rule of derivation, the AJM which is the core to upgrade the performance is deduced. Through a shrouded blade finite element model, the accuracy and efficiency of the proposed method are compared with both the MHBM on full-3D contact model with numerical Jacobian matrix and the MHBM on quasi-3D contact model with AJM. The results show that the AJM improves significantly the efficiency of the MHBM on full-3D contact model. The time cost of the proposed method is in the same order of magnitude as that of the MHBM on quasi-3D contact model. We also confirm that the full-3D contact model is necessary for the dynamic analyses of shrouded blades. If one uses the quasi-3D model, the estimation relative error of damping can even reach 31.8% in some cases. In addition, the AJM also brings benefits for stability analysis. It is highly recommended that engineers use the MHBM on full-3D contact model for the dynamic analysis and design of shrouded blades.

Closed-Form Model for Performance Analysis of THz Joint Radar-Communication Systems

As an enabler technology in future network, terahertz (THz) joint radar-communication (T-JRC) has been envisioned as a solution to overcome the challenges in THz communications. Recent works on JRC mainly emphasize either performance tradeoffs or mutual benefits between radar and communication functionalities. Unable to characterize both benefit and tradeoff relationships, existing metrics and models are inapplicable to performance analysis on T-JRC systems. In this paper, a closed-form T-JRC performance model are proposed to explore the relationship between radar and communication metrics. To begin with, a novel T-JRC system model concerning random mobility and THz beam tracking is put forward. Next, the performance bounds of T-JRC performance in terms of communication rate and a proposed radar rate are acquired in three different integration cases. Furthermore, the expression of communication rate by radar rate in T-JRC is obtained theoretically, which is the first time to derive the closed-form relationship considering both benefits and tradeoffs to the best of our knowledge. Finally, numerical results validate the proposed model as well as closed-form expression, showing that the model succeeds in benefit and tradeoff relationship characterization in T-JRC systems and the fitting bounds are applicable in non-extreme scenarios.

Abstract A017: Computer simulation and quantification of the mass-action law-base pharmacodynamics parameters for anti-cancer and anti-viral therapeutics for single drugs and their combinations

Abstract The biophysical and biochemical fundamental principle of the mass-action law (MAL) was used as the solo model for broad-spectrum system analysis. These included linear and circular sequential analysis, pattern analysis, combinatorial analysis, and mathematical induction-deduction, for deriving unified general pharmacodynamics/biodynamics/combination index/and bioinformatics (PD/BD/CI/BI). The two unified general dose-effect dynamics theories are: “action” (Median-effect Eq., MEE) and “interaction” (Combination index Eq. CIE). All terms of MEE and CIE are dimensionless relativity ratios; thus, the applicability of the dynamics is regardless of unit (e.g., uM, IU, rad), mechanisms (e.g., sequential, ordered, random; competitive, non-competitive, uncompetitive), and physical states (e.g., chemicals, biologicals, radiation, photonic, and thermal effects), and their interactions. The unified “action” dynamics (MEE) is applicable for R&D for MAL identity’s basic-PD parameters: Dm, the median-effect dose, signifying potency; and m, the dynamic-order, signifying shapes of dose-effect curves (DEC), for single drugs or in combinations. The Dm and m values can be determined by computer simulation based on MEE and CIE algorithms computer software, which allows digital determination of synergism (CI<1), additive effect (CI=1), and antagonism (CI>1) by automated simulations, instantly, after Dose and Effect paired data entries. The MEE algorithm and plot (MEP) linearized DEC into straight lines. This linearization principle led to the minimum two data points theory (MTDPT), which adds “dose-zero” and “Dm)” two dose-data points to the PD algorithm by default, for dynamics simulations. The MTDPT is the theoretical basis for Econo-green, efficient, cost-effective biomedical research in vitro, animals, humans, environmental, agricultural, marine, and food sciences. This allows using small-size experimental studies, reducing cost, and increasing efficiency by computer simulation. This paper illustrates the examples (experimental or clinical trial protocol) of PD design, step-by-step, for dose-dependent PD computer analysis, for anti-cancer and anti-viral agents, e.g., fludelone +/- panaxytriol in vitro; microtubule-stabilization agent +/- T607 antineoplastic in colon carcinoma HCT116 tumor-bearing nude mice; as well as anti-HIV clinical trials [nucleoside reverse transcriptase inhibitor +/- Interferon], are used for detailed illustrations for study design, computerized data analysis, and automated print-out. Thus, the unified general MAL- PD/BD/CI/BI can be used in vitro, in animals, and in clinical trials, for digital informatics or ranking. It is worth noting that the Google Scholar and Web of Science bibliometrics (as of May 29, 2023), on the MAL-PD/CI original article (Chou TC & Talalay P, 1984), Review (Chou TC, 2006), and Perspectives (Chou TC, 2010) have received a total of 18,046 citations in over 1,500 journals. For relevant 2023 references, please visit https://doi.org/10.1016/j.jbc.2023.103419 and dx.doi.org/10.1124/jpet.122.185320. Citation Format: Ting-Chao David Chou. Computer simulation and quantification of the mass-action law-base pharmacodynamics parameters for anti-cancer and anti-viral therapeutics for single drugs and their combinations [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A017.

Design of Experiments Technique Applied to Artificial Neural Network Models for FPSO Mooring System Analysis

Online monitoring of mooring system response for the FPSO platform in any operational condition is so far challenging for machine learning (ML). This paper presents a new dynamic NARX ANN model for time series of mooring tension and a static MLP model for the offset chart prediction of a taut-leg moored FPSO with different working scenarios. A novel method for supervised feature selection of the dataset was applied to determine the most influential design features. Additionally, a design of experiments (DOE) technique was implemented for test matrix creation, simulation, database generation, and supervised selection characteristics in ML. The DOE analysis revealed that the mooring configuration, platform loading condition, and environmental loads alter the platform’s six-degree-of-freedom motion response patterns. These input data were used to predict the mooring tension and the offset chart of the floater. The results include the fair values of statistical error for mooring tension (R2 = 0.8–0.98, E ≈ 1.3–5.7%, RMSE ≈ 6–66 kN) and platform offset (E ≈ 0.1–1 m) prediction when testing the trained models with unseen data representing new operational conditions. Faster convergence can be achieved by adding non-numeric (string) input values to dataset numeric features. Supervised feature selection of the dataset is a step forward in ML to improve prediction accuracy.

Vibration energy characters study of a soft-core beam system coupled through nonlinear coupling layers

To ascertain the potential impact of nonlinear coupling layers on the vibration control of composite beam systems, this study develops a vibration analysis model of a nonlinear coupling-layered soft-core beam system. Ascertain the accuracy of the vibration responses computed by the soft-core beam system using the Galerkin truncation method (GTM) in comparison to the results obtained through alternative methods. The correct calculation results indicate that nonlinear coupling layers are the cause of nonlinear phenomena in the soft-core beam system. Nonlinear coupling layers are responsible for nonlinear phenomena of the soft-core beam system, such as peak-jumping and the region with multiple continuous amplitudes, according to numerical results. To reduce vibrations in the soft-core beam system's resonance regions, reasonable parameters for the nonlinear coupling layers are advantageous. When the soft-core beam system is excited at a single frequency, the kinetic energy responses include converted values of nonlinear coupling layers. Using nonlinear coupling layers, it is possible to establish an effective parameter range for the vibration energy control of the soft-core beam system. The utilization of reasonable parameters in nonlinear coupling layers can effectively mitigate the vibration energy of a soft-core beam system that is excited at a single frequency. The soft-core beam system induces the desired energy transfer phenomena at specific time intervals and under particular conditions.