ヒューリンクス Product Lineup

We assist in screening important factors, identifying optimal product configurations, and arranging ideal processes. Using a rotatable 3D plot, response surfaces can be easily displayed from any angle. It is useful in various scenarios such as experimental design, parameter optimization, and process optimization. 【Main Features】 - Level factor screening plans - Investigation of general factors - Response Surface Methodology (RSM) - Mixture design techniques - Combinations of process factors, mixture components, and categorical factors - Design and analysis of split plots - Logistic regression for binary data analysis

• Other analyses
• Data Mining
• Other research software

In the field of geology, particularly in stratigraphic analysis, it is essential to accurately visualize the complex structures and data of strata and to express the analysis results clearly. Accurately graphing information such as the depth of strata, types of rocks, and ages, and sharing it in papers and reports is important for enhancing the quality of research. Inappropriate graphical representations can lead to misunderstandings of the data and undermine the reliability of the analysis results. SigmaPlot, as a specialized graphing software focused on science and technology, provides a wealth of features to accurately represent geological research findings. 【Usage Scenarios】 - Creation of stratigraphic cross-sections - Creation of bar charts - Creation of geological maps - Analysis of drilling data - Visualization of sedimentary structures 【Benefits of Implementation】 - Easier visual understanding of the structure and characteristics of strata - Ability to express complex data clearly - Improved quality of papers and presentation materials - Increased efficiency in data analysis Basic Operations of SigmaPlot (link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of engineering (mechanical and electrical), accurately and clearly visualizing experimental data and simulation results is essential for identifying issues and considering improvement measures. In particular, specialized graphing capabilities are required to read trends from complex datasets and provide objective evidence. Inadequate graph representations can lead to incorrect analyses and decision-making. SigmaPlot, as a specialized graphing software focused on science and technology, supports the accurate representation of research results. 【Usage Scenarios】 - Graphing experimental data - Visualizing simulation results - Creating performance evaluation reports - Preparing technical presentation materials 【Benefits of Implementation】 - Objective performance evaluation based on data - Early detection of issues and promotion of improvement measures - Clear information sharing with stakeholders - Increased efficiency in research and development Basic Operations of SigmaPlot (link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of physics, accurately visualizing data obtained from experiments and clearly communicating the results is crucial for the advancement of research and the presentation of papers. In particular, experimental data capturing complex phenomena only reveals its significance through appropriate graphical representation. Inadequate graphical representation can lead to misunderstandings of research findings. SigmaPlot supports the precise expression of research results by providing publication-quality graphing capabilities and advanced data analysis functions to address the challenges faced by researchers in physics. 【Usage Scenarios】 - Visualization of experimental data - Creation of graphs for paper presentations - Preparation of conference presentation materials - Sharing of research results 【Benefits of Implementation】 - Accurate communication of experimental results - Enhanced persuasiveness of research - Efficient data analysis and graph creation - Improved quality of papers Basic Operations of SigmaPlot (Link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

The analysis and visualization of growth data in the fields of agriculture and livestock are crucial elements for managing crop growth and understanding the health status of livestock. In particular, accurately capturing daily changes in growth conditions and understanding trends are essential for predicting yields and improving production efficiency. Inadequate data analysis or representation can lead to misunderstandings of the situation and may result in missed opportunities to implement appropriate measures. SigmaPlot, as a specialized graphing software focused on science and technology, addresses these challenges. 【Use Cases】 - Comparison of growth conditions by field - Monitoring growth curves and health indicators of livestock - Correlation analysis between weather data and growth data - Graphing experimental results and presenting papers 【Benefits of Implementation】 - Makes it easier to visually grasp trends in growth data - Supports accurate decision-making based on data - Enables clear presentation of research results SigmaPlot Basic Operations (Link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the energy industry, accurate visualization and detailed analysis of data are required for analyzing plant operational efficiency and energy consumption. Particularly, specialized graphing and data analysis capabilities are essential for understanding complex energy flows and variations in efficiency. Inadequate analysis can lead to missed improvement opportunities and inefficient operations. SigmaPlot provides the specialized graphing and data analysis functions necessary for energy efficiency analysis, supporting the accurate representation of research results. 【Usage Scenarios】 - Correlation analysis of plant energy consumption and production - Visualization of fluctuations in renewable energy generation - Measurement of the effectiveness of energy efficiency improvement measures - Data presentation in research papers and reports 【Benefits of Implementation】 - Clarification of energy efficiency challenges - Objective evaluation of the effectiveness of improvement measures - Enhanced persuasiveness of research results - Rapid data analysis and report creation SigmaPlot Basic Operations (Link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the food and beverage industry, quality control requires accurate recording and analysis of data throughout the manufacturing process to maintain product safety and quality. It is particularly important to visualize a wide range of data, from the acceptance of raw materials to the manufacturing process and final product inspection, in order to understand trends. Inadequate data management and analysis can lead to variations in quality and potential complaints. SigmaPlot addresses these challenges by providing specialized graphing and data analysis functions tailored to scientific technology, supporting the efficiency and accuracy of quality management operations. 【Use Cases】 - Graphing time-series changes in temperature, humidity, pH, etc., on the production line - Comparing and evaluating the results of raw material component analyses - Graphical display of product stability test data - Early detection of deviations from quality standards 【Benefits of Implementation】 - Objective evaluation and sharing of quality data - Data-driven decision-making for quality improvement - Stabilization of manufacturing processes and improvement of yield Basic Operations of SigmaPlot (Link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of environmental science, particularly in pollution monitoring, the accurate visualization and analysis of observational data are crucial for understanding situations and formulating countermeasures. Clearly demonstrating changes in pollution levels over time and the correlations between multiple pollutants is essential for communicating research findings and building consensus among stakeholders. Inadequate graphical representations can fail to convey the true meaning of the data and may lead to misunderstandings. SigmaPlot is a specialized tool that supports the creation of graphs and data analysis to accurately represent research outcomes in environmental science. 【Usage Scenarios】 - Graphing the temporal changes of pollutants - Creating graphs to compare data from multiple observation points - Correlation analysis graphs between environmental data and meteorological data - Producing high-quality graphs for paper presentations and report writing 【Benefits of Implementation】 - Makes it easier to visually grasp trends in pollution monitoring data - Allows for clear expression of complex data relationships - Increases the reliability and persuasiveness of research findings Basic Operations of SigmaPlot (link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of medicine and clinical research, particularly in case comparisons, it is essential to accurately compare multiple case data and present the results in an easily understandable manner. To enhance the reliability of research findings and ensure successful publication and conference presentations, visual representations that capture the characteristics of the data are indispensable. Inappropriate graphical representations may fail to convey the meaning of the data adequately, potentially undermining the value of the research. SigmaPlot has been designed as a specialized graphing software tailored to meet the needs of such researchers in the field of science and technology. 【Usage Scenarios】 - Creating graphs to compare data from multiple case groups - Visualizing the results of clinical trials - Preparing figures and tables for papers and conference presentations 【Effects of Implementation】 - Clearly visualizing differences between cases - Enhancing the persuasiveness of research results - Reducing time through efficient data analysis and graph creation

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of materials science, it is essential to accurately grasp the properties and changes of substances and to visualize the results in an easily understandable manner. Particularly in the development of new materials and the performance evaluation of existing materials, precise analysis of experimental data and the creation of graphs that accurately represent this data significantly impact the progress of research and the quality of results presentations. Inadequate graph representation can fail to convey the meaning of the data sufficiently and may lead to misunderstandings. SigmaPlot provides researchers in materials science with the tools necessary for creating publication-quality clear graphs, detailed data analysis, and a wealth of resources for presentations, thereby supporting the accurate expression of research results. 【Usage Scenarios】 - Graphing physical property data of materials (e.g., strength, hardness, thermal conductivity, electrical conductivity, etc.) - Trend analysis and visualization of experimental results - Creation of high-quality graphs for papers and conference presentations - Efficient management and analysis of complex datasets 【Benefits of Implementation】 - Objective and accurate communication of research data - Enhanced understanding of research results and increased persuasiveness - Improved evaluation in paper presentations and conferences - Streamlined workflow from data analysis to graph creation

• Software (middle, driver, security, etc.)
• Graph Analysis

In the pharmaceutical and biotechnology industry, particularly in the field of efficacy evaluation research, there is a demand for the creation of graphs that accurately and clearly express experimental results, which can be utilized for paper presentations and reports. It is important to visually capture trends and significant differences in experimental data to demonstrate the validity of the research. SigmaPlot is a graphing software designed to meet these needs for academic research. 【Usage Scenarios】 - Visualization of dose-response curves and pharmacokinetic data in efficacy evaluation - Clarification of significant differences through graphical representation of statistical analysis results - Creation of high-quality graphs for papers and conference presentations 【Benefits of Implementation】 - Accurate and clear communication of research findings - Contribution to an increase in paper acceptance rates - Support for rapid decision-making based on data Basic Operations of SigmaPlot (Link to Hulinks page) https://www.hulinks.co.jp/software/sigmaplot/sigmaplot_bso_guide/

• Software (middle, driver, security, etc.)
• Graph Analysis

It is a cutting-edge graph creation program designed for the Windows platform, specifically for academic purposes. The software specializes in graphically representing research results and is particularly aimed at supporting the creation and publication of papers. Equipped with a wealth of tools for producing publication-quality clear graphs, data analysis, and presentations, it facilitates the accurate representation of research findings. It offers a variety of specialized options tailored for scientific and technical use, such as automatic error bars, regression lines, confidence intervals, axis breaks, special axis scales, and nonlinear curve fitting, along with a powerful worksheet that enables robust data manipulation.

• Software (middle, driver, security, etc.)
• Graph Analysis

In the field of engineering simulations, data visualization and detailed analysis are essential. To understand complex simulation results and identify areas for improvement, accurate graph creation and advanced data analysis capabilities are required. KaleidaGraph was developed to meet these needs. 【Usage Scenarios】 - Visualization of simulation results - Trend analysis through data analysis - Report creation 【Effects of Implementation】 - Promotion of understanding of simulation results - Data-driven decision making - Improvement of research efficiency

• Statistical analysis
• Visualization
• Other analyses

In the field of economics, accurate data-driven predictions are essential. Analyzing complex data such as market trends, economic indicators, and policy effects requires data visualization and advanced analytical capabilities to forecast future scenarios. KaleidaGraph was developed to meet these needs. 【Use Cases】 * Building and validating economic models * Analyzing market research data * Assessing the risk of financial products * Simulating policy effects 【Benefits of Implementation】 * Increased efficiency of analysis through data visualization * Enhanced expressiveness through various graph formats * High-accuracy predictions enabled by advanced statistical analysis functions * Clear presentation of research results

• Statistical analysis
• Visualization
• Other analyses

In sociological research, it is important to analyze quantitative and qualitative data to objectively evaluate social phenomena. By visualizing complex data and conducting statistical analysis, it is necessary to enhance the quality of research. KaleidaGraph facilitates graph creation and data analysis for sociological researchers, supporting the efficiency of their research. 【Usage Scenarios】 - Analysis of social survey data - Visualization of survey results - Graphing of statistical data - Data analysis in thesis writing 【Effects of Implementation】 - Increased efficiency of analysis through data visualization - Enhanced expressive power through diverse graph formats - Deepened data interpretation through statistical analysis functions - Objective presentation of research results

• Statistical analysis
• Visualization
• Other analyses

In psychological research, data visualization is essential for understanding and presenting research findings. By expressing complex data in an easily understandable way, it enhances the quality of research and facilitates communication with others. KaleidaGraph is a powerful tool for psychology researchers to visually represent and analyze data. 【Usage Scenarios】 - Graphing experimental data - Visualizing survey results - Visual representation of statistical data 【Effects of Implementation】 - Promoting understanding of data - Improving the quality of presentations through visualization of research results - Effective data presentation in papers and presentations

• Statistical analysis
• Visualization
• Other analyses

In the field of environmental science, evaluation requires data visualization and detailed analysis. In particular, it is essential to accurately analyze complex data, such as changes in the concentration of environmental pollutants and results from ecosystem surveys, and present it in an understandable format. Inappropriate data processing or graph creation can lead to misinterpretations and inaccurate evaluations. KaleidaGraph addresses these challenges through scientifically accurate graph creation and data analysis. 【Use Cases】 - Analysis of monitoring data for environmental pollutants - Visualization of ecosystem survey data - Data analysis in environmental impact assessments 【Benefits of Implementation】 - Increased efficiency in analysis through data visualization - Highly reliable evaluations based on accurate data analysis - Clear presentation of research results

• Statistical analysis
• Visualization
• Other analyses

In astronomical research, it is essential to visually represent and analyze observational data and simulation results. Accurate graph creation and data analysis are crucial elements that enhance the reliability of research findings and lead to new discoveries. KaleidaGraph provides powerful support for the visualization and analysis of data in astronomical research. 【Usage Scenarios】 * Plotting observational data * Visualizing simulation results * Graphing astronomical phenomena 【Benefits of Implementation】 * Increased efficiency in analysis through data visualization * Clear representation of research findings * Flexible data representation through various graph formats

• Statistical analysis
• Visualization
• Other analyses

In geoscience research, data visualization and analysis are essential for understanding phenomena and building models. It is necessary to handle complex data from geological surveys, meteorological data analysis, and studies on environmental changes, revealing the underlying patterns and relationships. KaleidaGraph provides scientifically accurate graphing and advanced data analysis capabilities to address these challenges. This enables researchers to effectively visualize data, understand complex phenomena, and clearly express research results. 【Usage Scenarios】 - Visualization and analysis of geological data - Analysis of meteorological data and model building - Analysis of data related to environmental changes - Analysis of earthquake data - Visualization of topographical data 【Benefits of Implementation】 - Enhanced understanding of phenomena through data visualization - Increased efficiency in research through advanced data analysis - Clear expression of research results - Improved expressive power of data through various graph formats

• Statistical analysis
• Visualization
• Other analyses

In pharmaceutical research, comparing and analyzing experimental data and clinical trial results is a crucial factor that influences the quality of the research. Through data visualization, it is essential to objectively evaluate the effects and side effects of drugs, as well as the condition of patients, leading to new discoveries. KaleidaGraph enables scientifically accurate graph creation and data analysis, supporting the efficiency of research by clearly representing complex data. 【Use Cases】 - Comparison of drug effects - Analysis of clinical trial data - Visualization of pharmacokinetic data - Graphing experimental results - Creation of papers and presentation materials 【Benefits of Implementation】 - Increased efficiency of analysis through data visualization - Objective evaluation of research results - Improved quality of papers and presentation materials - Reduction in research time - Maximization of research outcomes

• Statistical analysis
• Visualization
• Other analyses

In medical research, statistical analysis is a crucial element that influences the reliability of research results. Accurate data analysis and visual representation are essential for deepening the understanding of research findings and for the success of paper presentations and conference presentations. KaleidaGraph is a powerful tool that allows medical researchers to visualize complex data clearly and perform statistical analysis. 【Usage Scenarios】 - Analysis of clinical trial data - Analysis of epidemiological survey data - Creation of graphs for research papers 【Effects of Implementation】 - Increased efficiency of analysis through data visualization - Improved quality of papers and presentation materials - Enhanced persuasiveness of research findings

• Statistical analysis
• Visualization
• Other analyses

In chemical research, accurately understanding the correlations between experimental data is a crucial factor that influences the progress of the study. It is necessary to efficiently conduct new discoveries and hypothesis testing through data visualization and detailed analysis. KaleidaGraph was developed to meet these needs. 【Usage Scenarios】 - Visualization of correlations between experimental data - Analysis of the relationship between reaction rates and temperature - Evaluation of the relationship between the physical properties and structure of substances - Comparison of multiple experimental results 【Effects of Implementation】 - Intuitive understanding of correlations through data visualization - Increased efficiency in research through detailed data analysis - Enhanced persuasiveness in papers and presentation materials

• Statistical analysis
• Visualization
• Other analyses

In the field of physics research, it is essential to accurately analyze experimental data and simulation results and to express them visually in an easily understandable manner. Particularly when dealing with complex equations and multidimensional data, data visualization and detailed analysis significantly influence the quality of research. KaleidaGraph is equipped with scientifically accurate graphing capabilities and advanced data analysis functions, supporting researchers in efficiently conducting data analysis and clearly communicating their research findings. 【Usage Scenarios】 - Visualization and analysis of experimental data - Graphing of simulation results - Interpretation of data through statistical analysis - Creation of graphs for papers and presentation materials 【Benefits of Implementation】 - Increased efficiency of analysis through data visualization - Deeper insights from advanced analysis functions - Enhanced visual representation of research findings - Strengthened persuasiveness in papers and presentations

• Statistical analysis
• Visualization
• Other analyses

In biological research, data visualization is essential for understanding and presenting research findings. By clearly expressing complex experimental data and observations, it is expected to enhance research efficiency and quality. If creating graphs and analyzing data is time-consuming, it may delay the progress of research. KaleidaGraph facilitates scientifically accurate graph creation and data analysis, providing strong support for research activities. 【Usage Scenarios】 - Graphing experimental data - Visualizing observation results - Creating papers and presentation materials 【Benefits of Implementation】 - Enhanced understanding through data visualization - Efficient expression of research findings - Reduced time for paper writing

• Statistical analysis
• Visualization
• Other analyses

KaleidaGraph is a graph creation and data analysis application for people active in research fields. It creates scientifically accurate graphs and easily transforms complex data into functional displays. ■Graph Creation: Data Visualization You can directly open Excel files or import data from text files (such as CSV) to create graphs. Various types of graphs, including linear, statistical, bar, polar, circular, and functions, can be selected from the gallery menu to visualize the data. ■Data Analysis: Investigation, Analysis, Learning of Results You can analyze data by applying various types of curve fitting (creating regression curves). In addition to basic fitting, including least squares (linear) regression and smoothing, there is a specialized formula library with over 100 user-defined functions available. ■Graph Editing Features: Visualizing Results Clearly and Persuasively Every element of the graph, including axes, scales, grids, labels, markers, lines, and colors, is customizable. Use the layout window to arrange multiple plots on a single page.

• Statistical analysis
• Visualization
• Other analyses

To the Yozhef Stefan Institute, we would like to introduce a case study on the implementation of "Mathematica." At the institute, it is utilized as a support tool for theoretical calculations such as symbolic processing (calculus, differential equations, infinite sums, series expansions, etc.), function calculators, and plotting functions and data. We have received feedback that it is extremely helpful not to have to open a reference book for various operations involving special functions. 【Product Appeal】 ■ A very large number of functions are supported from the start, and the quality is high. ■ The arguments and function names are standardized. ■ Mathematical definitions are clearly written. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

At the Tohoku University Neutrino Science Research Center, we would like to introduce examples of how 'Mathematica' has been utilized in research and education in particle physics, as well as in writing reference books. It is mainly used for symbolic calculations of complex equations, checking for errors in manual calculations, and verifying propositions that cannot be mathematically proven by using random numbers. There are commands that intuitively simplify equations, and its stable performance is also one of its appealing features, as we have received feedback. 【Product Highlights】 ■ Capable of symbolic calculations for complex equations ■ Can perform various types of calculations, such as factoring and calculating eigenvalues and eigenvectors of matrices ■ Allows verification of the correctness of manual calculations by substituting random numbers for parameters ■ Enables easy creation of diagrams and graphs ■ Stable performance *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

At Kanagawa University, Faculty of Engineering, Department of Management Engineering, we will introduce a case study on the implementation of 'Mathematica' in reliability engineering. This product is utilized for statistical analysis and numerical calculations. It is highly valued due to its extensive implementation of probability distributions such as CopulaDistribution, and it is used for solving equations and mathematical optimization functions when searching for the probability distribution that best fits the data. Additionally, it is noted that there are plans to consider its use in education in the future. [Results] - Not only is the implementation of probability distributions comprehensive, but the functions for engineering analysis, such as reliability analysis, are also well-developed and very useful. - The construction of network models and learning processes can be easily executed with short programs, which is very helpful. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'IGOR Pro' has been implemented at the Osaka Prefectural University 21st Century Science Research Institute, Nano Science and Materials Research Center. The introduction of our product was prompted by the need to create a program for batch processing and editing large amounts of spectral data. It is mainly utilized for the analysis and editing of spectra and image data. Users have expressed that it is convenient to manipulate data and graphs using command lines like gnuplot, and that it is useful for creating figures for papers due to the ability to finely adjust the appearance of graphs. [Reason for Implementation] ■ The need arose to create a program for batch processing and editing large amounts of spectral data. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

At Meiji University, Faculty of Comprehensive Mathematical Sciences, Department of Phenomenological Mathematics, we would like to introduce examples of the use of 'Mathematica'. This product has been utilized in research such as the construction of pattern solutions in reaction-diffusion systems, applications of pattern functionality, and explosion problems and their applications. By visualizing, the image of mathematical formulas becomes concrete, and it has been helpful when considering the direction of proofs. 【Case Summary】 ■ The numerical calculation and drawing functions for ordinary differential equations are very simple, so they are used frequently. ■ When illustrating calculation results, the features of this product (such as using Manipulate[] to change parameters and draw graphs) are very useful. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'Mathematica' was utilized for data analysis in the field of medical radiation technology at Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences. It was used for complex data analysis, such as analyzing images from two different X-ray energies outputted from a CT device and processing time-series data from three detectors. We received feedback expressing a desire to conduct many studies using our product by mastering the List/Table functions, which hold infinite possibilities depending on the ideas. 【Product Appeal】 ■ A wealth of built-in functions and an interface that is easy for beginners to use. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

At Doshisha University, we would like to introduce examples of how "Mathematica," "Wolfram|Alpha," and "Wolfram|Alpha Notebook Edition" have been utilized to support intellectual activities related to numbers. The initiative began with awareness activities on the use of symbolic computation systems in collaboration with representatives from Wolfram Research, leading to the adoption of these products. They are being used in remedial education for first-year university students in partnership with high schools. Since their introduction, these tools have contributed to students' smooth learning by providing calculation results and processes in response to their inquiries. 【Future Prospects】 - Utilization courses for the entire university (verification of calculations, validation of theories, visualization) - Basic mathematics lectures - Effective use in exercises, etc. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

To the Department of Biological Sciences, Graduate School of Science, Kyushu University, we would like to introduce a case study of the implementation of "Mathematica." We utilize this product for analyzing and processing formulas, as well as for visualization in the analysis of organized models that describe forms and shapes. Through formula processing, we are able to advance the analysis while maintaining versatility, and we have received feedback that it is convenient to confirm what kind of "shape" or growth pattern is actually demonstrated based on specific parameter values. 【Attractions of the Product】 ■ It supports a wide variety of data formats and allows for seamless visualization in both 2D and 3D. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce examples of the use of 'Mathematica' in algorithm and applied research for symbolic computation, as well as in computational exercises in the mathematics department at Tsukuba University, Department of Mathematical Sciences / Center for Artificial Intelligence Science. The product is utilized for an introduction to symbolic computation systems, solving mathematical problems using symbolic computation systems, and an introduction to programming. In the context of program development and computer education, we have received feedback highlighting its many appealing features, such as effective method selection according to application, and flexibility that allows for easy construction of interactive UIs. 【Product Appeal】 ■ Versatility that supports advanced algorithms for computer algebra and various computational methods for scientific and technical calculations. ■ Flexibility to accommodate both procedural and functional programming, allowing for effective method selection based on computational goals and applications, as well as easy construction of interactive user interfaces. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'Mathematica' was utilized in the research of electron-positron colliders by Professor Hitoshi Yamamoto, an emeritus professor at Tohoku University and a visiting professor at the University of Valencia. It has been used for various purposes in research and education, such as calculating the reaction cross-sections and decay rates of elementary particles, creating diagrams and videos for lectures, and verifying mathematical formulas. With color 3D displays, impactful diagrams can be easily created, and we have received feedback that the ability to perform calculus symbolically is also appreciated. 【Product Appeal】 ■ Symbolic manipulation and numerical calculations, as well as the creation of diagrams and videos, can all be done in an integrated manner in the same place. ■ Calculus can be performed symbolically. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'SystemModeler' was implemented in the research on constructing a component selection system for a robotic arm using simulations and evaluating the validity of the created simulation model by comparing it with the actual machine at the Department of Mechanical Systems Engineering, Faculty of Engineering, Tokyo University of Agriculture and Technology. By using the simulation model as a substitute for the prototype, we were able to utilize it in the design of the robotic arm by checking the load on the motor and other factors. Since it is component-based, we received feedback that the model can be easily assembled and is user-friendly. 【Research Results (Partial)】 ■ By using the simulation model, we were able to construct a component selection system that assumed the loads applied when the robot was actually operated. ■ By conducting investigations using the simulation model, we were able to derive suitable mounting positions without the need for repeated actual prototypes. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'IGOR Pro' has been implemented at the Research Institute for Electronic Science, Hokkaido University, in the field of Nano-Optical Functional Materials. The product is utilized for a wide range of applications including organizing experimental data, analysis, fitting, convolution integrals using instrumental functions, simulations (including custom programs), graph creation, matrix calculations, and numerical solutions of simultaneous differential equations. It integrates data organization, advanced analysis, graph plotting, and programming, which means that in most cases, there is no need to use other software, making it a very effective tool, as we have received feedback. 【Reason for Implementation】 ■ It can process everything from loading acquired data to extracting values through fitting, and instantly create high-quality graphs suitable for presentations at conferences. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where "IGOR Pro" has been implemented at Koyama College of Technology. The product was introduced due to its convenient environment that allows for data loading, programming, and analysis all in one, as well as its robust graphing capabilities. It is utilized for analyzing frequency characteristic data of measured printed circuit board wiring, graphing, and executing transmission simulations based on the measured characteristics, along with displaying and analyzing the results. 【User Experience of the Product】 ■ Rich functions and graphing capabilities ■ The "File Save" feature allows for saving the workflow of previous tasks, enabling a return to the exact state at the time of saving for the next session ■ With basic knowledge of programming in C language, it is relatively easy to develop advanced analysis programs by applying the built-in functions ■ Compared to programming in C language, handling matrices and complex numbers is easier *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of the implementation of "Igor Pro" at the Department of Engineering, Shibaura Institute of Technology. In this laboratory, the product is utilized for graphing and model fitting of almost all experimental results, including structural analysis using X-rays, electrical resistance measurements, magnetization measurements, impedance measurements, and μSR measurements. We received feedback that it is convenient to easily leave notes in the experiment file during the analysis process and to annotate graphs. 【Product Highlights】 - Capable of easy and fast function fitting even with large data sets - Can handle many waves within a single experiment file - Capable of creating figures for presentations and submitted papers using only this product *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

Ibaraki National College of Technology, Department of Natural Sciences, would like to introduce a case where 'IGOR Pro' has been implemented in the field of physics. The product is utilized for data analysis and graph creation, as well as for creating graphs used in classes. When creating graphs for magnetization and magnetostriction at various temperatures, it is appreciated that similar graphs can be quickly produced by slightly modifying the contents of the graph macro. 【User Experience with the Product】 - I have developed the habit of properly naming waves with the intention of using graph macros, which has improved my data organization. - Basic arithmetic operations between waves can be performed immediately in the command line. - Everything is recorded in history, making it easy to review data processing. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where "IGOR Pro" was implemented at the Advanced Ceramics Research Center of Nagoya Institute of Technology. The ability to display the progress of nonlinear least squares fitting using user-defined functions in an animated format was a significant factor in the decision to adopt this product. The macro functionality has become more powerful with each version upgrade, and particularly the array operation features are well-developed, allowing for efficient creation of data processing programs, as we have received feedback. 【Reasons for Implementation】 - The progress of nonlinear least squares fitting using user-defined functions is displayed in an animated format. - Using the IGOR macro language makes coding significantly easier. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where 'Mathematica' was utilized in creating teaching materials at Toyama University. This product was used when teaching simple programming and handling methods for visualizing calculation results. It was noted that the environment setup, such as application configuration and compiler, which is necessary for C language/Python, is very easy with this product, making the transfer of small programs very smooth. 【Product Appeal】 ■ Allows for precise evaluation as far as the computational memory permits ■ Even in approximate calculations, you can specify significant figures and precision, allowing you to know which digits in floating-point calculations are reliable ■ Operates the same way on any PC, making setup easy *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

To the Nano-Opto-Biofluid Engineering Laboratory at Nagaoka University of Technology's Center for Industry-Academia Fusion Top Runner Training, we would like to introduce a case study on the implementation of "Igor Pro." Originally, the use of this product was prompted by its application in data analysis within our research laboratory. It is utilized for analyzing current waveforms and creating graphs. We received feedback that it is convenient because the analysis process remains in the command window, allowing for later review and verification when sharing data with colleagues. 【Attractions of the Product】 ■ It enables the creation of visually appealing graphs from complex data statistical analysis, allowing for visual representation of data with just one software. ■ It can build unique analysis methods and supports various data types and large-volume data processing. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case where "IGOR Pro" has been implemented at the Graduate School of Veterinary Medicine, Hokkaido University. The product was adopted due to its ability to process large-scale data quickly, as well as its capabilities for creating graphs and programming. It is being utilized to analyze time-series data recorded by data loggers attached to animals. We received feedback that they appreciate the numerous built-in operation functions and built-in functions, which allow them to achieve what they want in a short amount of time. [Reason for Implementation] ■ Ability to process large-scale data quickly, as well as create graphs and program *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)

We would like to introduce a case study of the implementation of "FlexPro" at the Central Research Institute of Electric Power Industry. At the institute, high-speed digital oscilloscopes became essential for insulation diagnosis work, and they had been searching for software that could easily analyze data for a long time. Therefore, they adopted our product, which is a commercially available software that accurately reads the binary data files from Tektronix oscilloscopes without hassle. They expressed that being able to import original data, especially binary data, from measurement instruments of various manufacturers directly is very appealing for general-purpose software. [Case Overview] ■ Challenges - High-speed digital oscilloscopes became essential, and they had been searching for software that could easily analyze data for a long time. ■ Key Factors for Adoption - It accurately reads the binary data files from Tektronix oscilloscopes without hassle. *For more details, please download the PDF or feel free to contact us.

• Software (middle, driver, security, etc.)