pca
Classifion 1.5
Classifion is software for classification of substances using their mass-spectra more>> Classifion is chemometrics software for classification of substances using their mass-spectra. The used discriminant analysis is based on Principal Component Analysis with Mahalanobis Distance (PCA-MD) - part of multivariate analysis. Classifion has been tested using mass-spectra, but there is no limitation to be used with any other kind of characteristic spectra (e.g. VIS, IR, NMR).<<less
Structural Steel Detailing 1.0
TMGs senior, experienced structural engineers are well-versed in the aforementioned standards. They regularly provide architectural firms, construction companies and engineering firms with advanced structural analysis and detailed drawings. more>>
TMGs senior, experienced structural engineers are well-versed in the aforementioned standards. They regularly provide architectural firms, construction companies and engineering firms with advanced structural analysis comprising virtual models, detailed drawings, bills of material and estimates.
The models and drawings are developed in accordance with standards such as the IBC, ACI, ASCE 7, AASHTO and AISC, and sometimes require advanced analysis of seismic and dynamic load conditions.
The software platforms our engineers use for analysis are STAAD, RISA, SAP2000, RAM, PCA, SAFE, and ETABS. We use AutoCAD or MicroStation for drafting.
Our engineers are assisted by more than 20 drafters to translate their ideas into CAD.
System Requirements: Pentium II or higher with min 16Mb ram
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IDA-STEP is a framework for software components around the international STEP standard ISO 10303 on industrial product data. The free Viewer component supports STEP-Files (.stp) with CAD/PDM/PLM data more>>
IDA-STEP is a framework for software components around the international STEP standard ISO 10303 for the exchange and integration of industrial product data. Today all major mechanical CAD systems are supporting exchange of STEP files (.stp) for 3D and assembly and this data can be displayed by the free basic Viewer component of IDA-STEP. In addition the viewer can display electrical connectivity, details of printed circuit boards (PCA), and all kinds of PDM and PLM information.
The underlying data model of IDA-STEP is XIM, the eXtended Integrated Model. It is directly based on the STEP application modules ISO 10303-1xxx and provides explicit support for the STEP Application Protocols:
- ISO 10303-203 Configuration controlled 3D designs of mechanical parts and assemblies (AP203);
- ISO 10303-210 Electronic assembly, interconnect and packaging design (AP210);
- ISO 10303-214 Core data for automotive mechanical design processes (AP214);
- ISO 10303-236 Furniture product data and project data (AP236);
- ISO 10303-239 Product life cycle support (AP239);
as well as basic support for most other APs.
The 3D Viewer Pro component extends the functionality of the free Basic Viewer for 3D data caching resulting in significant increased speed, measurement, printing, and custom configuration. Other components allow editing of PDM data, importing and exporting of PDM data as comma separted value files (CSV), importing from Printed Circuit Board CAD Systems, 2D to 3D extrusion, VRML export and more. IDA-STEP is the only available software system with such a broad capability. This is only possible by close cooperation with the standardization committee ISO TC184/SC4.
LKSoft decided to provide free viewing capabilities for all supported details in IDA-STEP and to charge only for extended capabilities. In addition all data created by IDA-STEP in the form of XIM files can be further processed by the free open source toolkit JSDAI.
System Requirements: 2 GByte RAM
System Requirements: Supporting electronic and mechanical STEP files in only one application
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Image Analyzer 1.31
Image Analyzer is considered as convenient and advanced image editing, enhancement and analysis software that contains both most image enhancement features found in conventional image editors plus a number of advanced features not even available in professional photo suites. more>>
Image Analyzer 1.31 is considered as convenient and advanced image editing, enhancement and analysis software that contains both most image enhancement features found in conventional image editors plus a number of advanced features not even available in professional photo suites.
Major Features:
- Automatic brightness, contrast, gamma and saturation adjustment
- Build-in conventional and adaptive filters for noise reduction, edge extraction etc.
- Retouch tools
- Retinex filter for reducing shadows and increasing local contrast
- Deconvolution for out-of-focus and motion blur compensation (see below)
- Easy red-eye removal
- User specified filters in spatial and frequency domain
- Resize, rotate, crop and warping of images
- Scanner, camera and printer support
- File format support:
- Read/write BMP, ICO, CUR, WMF, EMF, PNG, MNG, GIF, PCX, JPEG and JPEG 2000 images
- Read CR2, RAS, PNM, PGM, PPM, HIPS and Matlab files
- Morphological operations
- Color model conversion: RGB, CMY, HSI, Lab, YCbCr, YIQ and PCA
- Distance, Fourier and discrete cosine transformation
- Math expression module for creating and transforming images and advanced "pocket" calculator with equation solver
- Plugin system for adding more specialized features. See below for available plugins
Enhancements: Adds selection boundaries fade method, mproves smooth brush, and includes lens distortion and lateral chromatic aberration correction feature.
Color model conversion: RGB, CMY, HSI, Lab, YCbCr, YIQ and PCA - Distance, Fourier and discrete cosine transformation - Math expression module for creating and transforming images and advancedLicense:Freeware
Color model conversion: RGB, CMY, HSI, Lab, YCbCr, YIQ and PCA -Distance, Fourier and discrete cosine transformation -Math expression module for creating and transforming images and advancedFacial Expression Recognition System 1
Analyze facial expressions. more>>
Facial Expression Recognition System 1 is a powerful tool that you propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). This approach results extremely powerful because it does not require the detection of any reference point or node grid. The proposed method is fast and can be used for real-time applications.
Major Features:
- Facial Expression Recognition based on Neural Networks
- PCA-based dimensionality reduction
- High recognition rate
- Intuitive GUI
- Easy C/C++ implementations
- Demo code (protected P-files) available for performance evaluation
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