Analysis software(PC Case) - List of Manufacturers, Suppliers, Companies and Products

Eigenvector

KemoMetrics & Multivariate Analysis Tool "Eigenvector Research Software"

We would like to introduce "Eigenvector," which we handle. The software from Eigenvector Research provides an integrated solution that allows for the analysis of complex multivariate data such as spectra and process data using an intuitive GUI and over 300 advanced chemometrics/machine learning methods, enabling seamless model development and deployment from research to manufacturing. 【Features】 ■ Exploratory analysis such as PCA, MPCA, UMAP — Pattern extraction and cluster visualization can be done with one click. ■ Regression modeling such as PLS, PCR, XGBoost — High-precision quantitative prediction models can be constructed. ■ Classification analysis such as SIMCA, PLS-DA, SVM-DA — Supports pass/fail judgment and class identification. ■ Over 300 preprocessing algorithms — Freely combine scattering correction, baseline removal, smoothing, and more. ■ Hyperspectral image analysis (MIA_Toolbox/Solo+MIA) — Extract and visualize chemical information on a pixel-by-pixel basis. *For more details, please refer to the related links or feel free to contact us.

Company：B7
Price：Other

Software (middle, driver, security, etc.)
Business Intelligence and Data Analysis

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Introduction to Desktop Structural Analysis Program

Creating geometry and analysis models, executing analyses, and post-processing, all realized in one software!!

【Features】 ○ A structural analysis solution that combines the pre- and post-processor "Simcenter Femap" with the analysis solver "Simcenter Nastran." ○ The entire process of creating analysis models, performing analyses, and displaying results from shape data created in 3D-CAD is realized in one software on a single PC. ○ High operability. ○ Easy to implement pricing. ◎ For more detailed information, please refer to the catalog or contact us directly.

Company：エヌ・エス・ティ
Price：1 million yen-5 million yen

Structural Analysis

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Multiphysics Coupling Analysis Interface 'MpCCI'

Multiphysics coupled analysis as you wish!

"MpCCI (Mesh-based parallel Code Coupling Interface)" is a coupling analysis interface developed by the German company scapos AG. This product enables the coupling of different CAE analysis software, such as fluid analysis software and structural analysis software, allowing for data exchange and facilitating weakly coupled analyses. It can simulate multiphysics phenomena such as fluid-structure coupling and fluid-electromagnetic field coupling. 【Features】 ■ Adaptable to various coupling analyses – multiphysics ■ Interface with various CAE software ■ Excellent data mapping capabilities ■ Strong support for mesh movement problems ■ User-friendly GUI ■ High extensibility that can be customized according to analysis content *For more details, please refer to the PDF materials or feel free to contact us.

Company：IDAJ
Price：Other

Structural Analysis
Thermo-fluid analysis
Analysis Services

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Multivariate analysis software "SIMCA"

The definitive multivariate analysis software. No command operation required, analysis can be done with just a click!!

SIMCA is equipped with various algorithms and tools for omics data (such as GC/MS, LC/MS, NMR, RNA-seq) and mixture analysis data (such as MS, NMR, IR, NIR), providing excellent analytical capabilities and easy operation through a mouse for multivariate analysis. ● It includes Principal Component Analysis (PCA) for data overview analysis. Additionally, it allows for overview analysis combining different types of data (e.g., GC/MS and sensory evaluation data) (MOCA). ● It features the OPLS regression model, which is a superior version of PLS, enabling the construction of more accurate factor analyses and regression models. ● It includes the OPLS-DA discrimination model, which is a superior version of PLS-DA, clearly distinguishing between items that are difficult to differentiate using PCA or OPLS-DA, and suggesting candidate factors/markers. ● It incorporates the SIMCA method to create PCA-Class from existing data to classify unknown samples. Infocom: Product introduction site https://www.infocom-science.jp/product/detail/simca/