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program Product List and Ranking from 173 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
This ranking is based on the number of page views on our site.

program Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
This ranking is based on the number of page views on our site.

  1. メルク株式会社ライフサイエンス（シグマ アルドリッチ ジャパン合同会社） Tokyo//Testing, Analysis and Measurement
  2. 日本人材開発医科学研究所 Tokyo//others
  3. 公益社団法人日本プラントメンテナンス協会 Tokyo//Public interest/special/independent administrative agency
  4. 4 アイ・ティー・エス・ジャパン Chiba//Testing, Analysis and Measurement
  5. 5 NDSインフォス 東京支社第2システム部第5ソリューション担当 Tokyo//IT/Telecommunications
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program Product ranking

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
This ranking is based on the number of page views on our site.

  1. [Update Campaign] Distilled Water Production Equipment メルク株式会社ライフサイエンス（シグマ アルドリッチ ジャパン合同会社）
  2. Self-Development Encouragement Training Program for Factory Workers: "Self-Maintenance Technician Correspondence Course" 公益社団法人日本プラントメンテナンス協会
  3. [Training Case] Developing Leaders Among Mid-Level Employees Starting with Self-Understanding 日本人材開発医科学研究所
  4. 4 Personality Test TPI Program 日本人材開発医科学研究所
  5. 5 Blow Molding Simulation Program B-SIM アイ・ティー・エス・ジャパン

program Product List

31～45 item / All 391 items

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Tower crane design calculation program

Tower crane design calculation program

Tower crane design calculation program

We meet customer needs with a wealth of features! Introducing the design calculation program for tower cranes from Forum 8. ■□■Features■□■ ■The design target of this product is the "luffing jib tower climbing crane" among the tower climbing method, floor climbing method, luffing jib type, and horizontal jib type. ■Examinable parts: tower, tower supports, base stays, base ■For tower supports and base stays, the option to specify whether or not to include them in the examination is available. For other features and details, please download the catalog or contact us.

  • Other measurement, recording and measuring instruments

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Design Calculation Document Creation Program 'E-Calc' Reiwa 6 Edition

Design Calculation Document Creation Program 'E-Calc' Reiwa 6 Edition

■ Aluminum trunk line calculations are now possible! ■ You can choose your preferred plan! ■ Compliant with Ministry of Land, Infrastructure, Transport and Tourism standards ◎ ■ Very easy to operate!

"E-Calc" is a program that efficiently creates everything from design calculation documents to summary tables necessary for architectural electrical equipment design. 【Features】 ■ Achieves aluminum conductor trunk line calculations! It is now possible to perform trunk line calculations for aluminum conductors based on the Rakuraku Aluminum Cable®. *Rakuraku Aluminum Cable® is a registered trademark of Furukawa Electric Co., Ltd. ■ Efficiency improvement is guaranteed Complicated and difficult calculations are done automatically, ensuring a significant increase in efficiency! It can be used as an option for "CADCity Electrical," allowing you to work while comparing with drawings. ⇩ For more information about CADCity Electrical, copy and paste this link ⇩ https://tanaksys.com/cad_elec.html ■ Options for single month… standalone… and other plans are available! You can create 23 types of calculation documents, including illuminance calculations and trunk line calculations, in accordance with the Ministry of Land, Infrastructure, Transport and Tourism standards. We have plans perfect for those who want to use it for a short period or only need trunk line calculations. *For more details, please refer to the PDF materials or feel free to contact us.

  • 2D CAD Electrical

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AI Dashcam Support Program 'Dr. License'

AI Dashcam Support Program 'Dr. License'

Supporting companies in reducing traffic accidents with AI! Introducing our traffic accident reduction support service.

"Dr. License" is a traffic accident reduction support service that provides insights into drivers' habits and lapses in attention through AI, guiding them towards improved driving behavior. The AI detects various dangerous situations, allowing for the identification of previously overlooked issues such as distracted driving and insufficient following distance. Additionally, it presents driving behavior in an easy-to-understand report format, assisting in effective guidance. 【Features】 ■ Detection of various dangerous situations by AI ■ Analysis of usual driving behavior ■ Clear presentation of driving behavior in report format ■ Comprehensive operational consulting support ■ Maximization of effectiveness through continuous improvement proposals *For more details, please refer to the PDF document or feel free to contact us.

  • Other services

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Three Technologies NC Program

Three Technologies NC Program

Performance that exceeds expectations" "Reliable quality" "Short delivery times that do not hinder mass production plans

We will develop and manufacture all types of specialized machines for processing, assembly, cleaning, and inspection, based on our quality policy of 'Quality innovation and the challenge of customer satisfaction that knows no bounds.'

  • Other process controls

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Equipment Diagnosis and Predictive Maintenance Program "Factory Doctor"

Equipment Diagnosis and Predictive Maintenance Program "Factory Doctor"

Proposal for manufacturers with manufacturing equipment and lines! Introduction of equipment diagnostics and predictive maintenance programs.

"Factory Doctor" is a diagnostic and predictive maintenance program that proposes appropriate treatment plans and prescriptions as the "family doctor" for important equipment. By collecting lubricants and coolants, which can be considered the "blood" of machines, and conducting our unique analysis method called "tribo-diagnosis," we can detect potential trouble factors in equipment in advance. We provide engineering services for the repair, modification, and installation of equipment machinery. [Features] ■ For manufacturers with production equipment and lines ■ Diagnosis can be performed without stopping the customer's production ■ Advance detection of trouble factors in equipment ■ Proposing appropriate maintenance processes based on equipment abnormalities *For more details, please refer to the PDF document or feel free to contact us.

  • Other contract services

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活動内容　環境教育プログラム

活動内容　環境教育プログラム

小笠原海洋センターでは、島内外の人々を対象にした各種環境教育プログラムを実施しています。

夜間、産卵を観察しながらアオウミガメの生態を知ることができる「アオウミガメナイトレクチャー」を始め、修学旅行やサマーキャンプ、総合学習へのプログラム提供、島内の子供達と島外の子供達とが交流しながら自然を学ぶことができるプログラムの実施など、環境について考える機会を提供しています。

  • others

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5-axis measurement macro using a ball (reference sphere)

5-axis measurement macro using a ball (reference sphere)

Reduction of errors and improvement of accuracy in 5-axis/5-face machining through ball (reference sphere) measurement.

To ensure accuracy in a 5-axis machining center equipped with two rotary axes such as the AC axis in addition to the orthogonal XYZ axes, it is necessary to minimize errors such as deviations and tilts at the center of the rotary axes. The precision adjustment of the 5-axis machining center, which is said to be complex and difficult, can be performed automatically using a ball (reference sphere) measurement macro. By employing a "database-type error correction" method, it is possible to correct error factors that were difficult to eliminate with conventional correction methods.

  • Other measurement, recording and measuring instruments

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General-purpose structural analysis program "Simcenter Nastran"

General-purpose structural analysis program "Simcenter Nastran"

A general-purpose structural analysis software that has been in commercial use for over 40 years and utilized at the forefront of the industry!

"NASTRAN" is a general-purpose structural analysis software developed for the U.S. space development project, which has been utilized at the forefront of the industry for over 40 years since its commercialization. The world's highest standard general-purpose structural analysis program, Simcenter Nastran (the successor to NX Nastran), was born from the fusion of this technology with Siemens PLM Software's long-standing CAE expertise. The basic bundle includes essential and convenient features for general structural analysis. [Features included in the basic bundle (excerpt)] ■ Linear static analysis ■ Eigenvalue analysis ■ Heat conduction analysis ■ Buckling analysis ■ Basic nonlinear analysis (static analysis, transient analysis) ■ Adhesive function (Glue function) *For more details, please refer to the PDF materials or feel free to contact us.

  • Plastic processing machines (cutting and rolling)

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Tohoku University Technology: Prediction Algorithm of Virus Mutation: T20-434

Tohoku University Technology: Prediction Algorithm of Virus Mutation: T20-434

Face the pathogens like SARS-Cov-2

To develop novel and effective diagnostic/therapeutic solutions against pathogenic viruses like SARS-Cov-2 in which the mutation frequencies are high, the technologies which enables to predict possible mutations before the spread of pathogenic variants with said mutations is required. In SARS-Cov-2, a trend in mutations was found by the analysis of various genomes from variants reported so far (reference 1), suggesting that this may be useful to identify possible mutation sites. 　This invention disclose the methods and programs to predict the site and the mutations therein in virus genome in the future by AI-based model developed by using above trend for leaning.

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Tohoku Univ. Technology :3D image processing program : T21-169

Tohoku Univ. Technology :3D image processing program : T21-169

Quantification and visualization of changes in alveolar bone resorption over time

Periodontitis, which causes resorption of alveolar bone, affects most adults and causes tooth loss as it progresses. In recent years, dental Cone Beam CT has become popular, enabling three-dimensional confirmation of the morphology of alveolar bone. However, in most cases, only visual qualitative morphological evaluation was performed, and there was no method to detect minute morphological changes over time or to quantitatively analyze the amount of changes. The present invention makes it possible to visualize and quantify changes in the surrounding bone morphology by performing precise alignment using morphological information of only the root portion of any tooth.　 　FIG. A shows alveolar bone CT images of the same patient taken at different times, but it is difficult to confirm at a glance the exact area where bone was absorbed (yellow arrow) and the amount of bone resorption over a period of two years. By performing a semi-automatic analysis of about 10 seconds using the program of this invention, it is possible to display the resorbed bone in red (FIG. B) and calculate the amount of bone resorption by volume. As shown in FIG. C, it is also possible to color the root surface of the tooth to discriminate the areas where bone is still covered (green) and where bone is lost due to resorption (red).

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Tohoku Univ. Technology : Biological image processing program : T21-091

Tohoku Univ. Technology : Biological image processing program : T21-091

New Lightweight DL Model for Medical Image Processing, Denoising, and Disease Classification

Medical images are complicated and noisy. Device manufacturers are conducting R&D on denoising technologies using deep learning (DL). Unet is a popular model developed for medical image segmentation and has been used for image denoising. Unet as well as other DL models with higher prediction accuracies require large computational resources and have become a barrier to use in standalone devices for remote diagnosis or deployment of AI-solutions in mobile devices for smart digital medicine.　 　The "LWBNA-unet" of the present invention was designed with a focus on efficiency and reduction of computational resources. It succeeded in reducing weight by about 10 times as compared to the conventional Unet model. Similar to controlling the flow of information through a channel by changing its width, the LWBNA-Unet performs channel control by gradually decreasing the number of filters with attention to discriminate unnecessary features, which enables highly accurate segmentation of image features in complex and noisy images. The method is also capable of detecting and classifying diseases automatically with high accuracy under low computational resource environments. It is shown that the model has better capabilities of learning in terms of reproducibility and accuracy with smaller datasets as compared to conventional Unet and DeepLabv3+, models under same conditions.

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