We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for prediction.
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prediction Product List and Ranking from 38 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated： Aggregation Period:Apr 08, 2026～May 05, 2026
This ranking is based on the number of page views on our site.

prediction Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Apr 08, 2026～May 05, 2026
This ranking is based on the number of page views on our site.

  1. パトコア Tokyo//IT/Telecommunications
  2. データリソース Tokyo//others
  3. null/null
  4. 4 null/null
  5. 5 マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS（Engieering Center Steyr） Tokyo//Automobiles and Transportation Equipment
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prediction Product ranking

Last Updated： Aggregation Period:Apr 08, 2026～May 05, 2026
This ranking is based on the number of page views on our site.

  1. FEMFAT weld extension module: Fatigue life prediction of welded joints マグナ・インターナショナル・ジャパン マグナパワートレイン・ECS（Engieering Center Steyr）
  2. LogP prediction, LogD prediction 'Partitioning' パトコア
  3. [Technical Information] Prediction of Melting Point by Molecular Dynamics Calculation
  4. 4 2024 Domestic Companies' IT Investment Status and Forecast
  5. 5 pKa prediction, molecular species prediction, isoelectric point prediction 'Protonation' パトコア

prediction Product List

31～60 item / All 90 items

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Predicting casting defects with flow analysis!

Predicting casting defects with flow analysis!

We achieve quality improvement, reduction of defect rates, and increased yield through the latest analysis software and years of experience and technology.

We would like to introduce the strengths of Seishin Manufacturing Co., Ltd. These include the "CAE flow analysis software" that predicts casting defects and the "integrated production system" from parts design to assembly. Additionally, with the motto of "contributing to global environmental conservation and resource and energy savings through recycling," we are engaged in aluminum recycling and refining activities, focusing on reducing CO2 emissions and thoroughly managing exhaust gases and wastewater. [Strengths] ■ CAE flow analysis software ■ Integrated production ■ Collaboration with DIK *For more details, please refer to the related links or feel free to contact us.

  • others
  • prediction

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DTEmpower Aircraft Landing Load Prediction

DTEmpower Aircraft Landing Load Prediction

Introduction to data-driven aircraft landing load prediction using data analysis and modeling software.

The descent rate of an aircraft during landing significantly exceeds the normal landing descent rate, resulting in excessive landing impact loads and a reduction in the strength margin of the landing gear and fuselage structure. Landing loads are related not only to mass but also to the pull from the rotor during the flight state at landing and the structure of the landing gear itself. Conventional methods for predicting aircraft landing loads require spending hours on dozens of simulations under operational conditions, making it impossible to quickly and accurately obtain design solutions that meet the requirements. *For more detailed information, please refer to the related link. For further details, you can download the PDF or feel free to contact us.*

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  • Other analyses
  • Other Software
  • prediction

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Prediction of Oil Drilling Drill Speed

Prediction of Oil Drilling Drill Speed

Introducing methods to quickly and accurately predict the rotation speed of drills using machine learning.

In March 2024, China drilled a 10,000-meter oil well in the center of the Taklamakan Desert, making it the first of its kind in the country and the second in the world. It is difficult to ascend into the sky, and even more challenging to descend to the ground. For aerospace, an altitude of 10,000 meters is significant, but when it comes to going underground, 10,000 meters can be said to represent the limits of human technology. For every 100 meters dug into the ground, the temperature increases by about 2°C, and pressure also rises. At a depth of 10,000 meters, one would be exposed to temperatures exceeding 200°C and pressures exceeding 130 MPa. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

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  • Other Software
  • prediction

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Oscilloscope predicting jitter and amplitude variation IsoBER

Oscilloscope predicting jitter and amplitude variation IsoBER

Oscilloscope Technical Note: Predicting Jitter and Amplitude Variations with "IsoBER"

This is an introduction to LeCroy Japan's "Oscilloscope Technical Note: Predicting Jitter and Amplitude Variation with 'IsoBER'," which considers and proposes the best measurement devices, methods, repairs, maintenance, upgrades, and purchasing plans together with users. "IsoBER" for predicting jitter and amplitude variation IsoBER is one of the standard features of the Serial Data Analyzer SDA 7Zi series. It is a new tool that overlays eye patterns and bathtub curves, helping with the detection of minimum eye opening and analysis of crosstalk, among other tasks.

  • oscilloscope
  • prediction

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Flash Product Lifespan Predictions You Should Know (1)

Flash Product Lifespan Predictions You Should Know (1)

Low cost with high reliability and amazing rewrite lifespan! Reduced WAF to the limit, achieving high performance and long lifespan with SLC-level random write performance!

=durabit(TM) - The better MLC = This is a storage product with high rewrite endurance due to WAF reduction measures. The block rewrite lifespan of NAND Flash memory is 100,000 times for SLC type, 20,000 times for pseudo-SLC, and 3,000 times for MLC. However, when used in NAND storage, the lifespan values differ from those of NAND alone due to data management by the controller and firmware. To address the lifespan issues of MLC NAND-equipped storage, we consider the ratio coefficient of the amount of write data from host to storage to NAND (WAF number: ideal value is 1) and incorporate high-performance page-based FTL firmware technology, which minimizes the increasing WAF value to the extreme, achieving rewrite lifespans comparable to SLC even with MLC. WAF, known as write amplification rate, is influenced by hundreds of conditions, including the specifications of NAND flash, firmware technology, and data management structure, causing its value to fluctuate. Additionally, it is affected by the IOPS rate; for instance, if the WAF value is 10, the number of erasures within the storage becomes ten times that of the external data amount, leading to a lifespan that is reached ten times faster than predicted for NAND alone.

  • Embedded Board Computers
  • SSD
  • Storage
  • prediction

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Flash Product Lifespan Predictions You Should Know (2)

Flash Product Lifespan Predictions You Should Know (2)

High-performance page-based FTL technology enables long lifespan with high rewrite endurance even in storage equipped with MLC-type NAND flash!

The lifespan of storage equipped with flash memory is primarily determined by the maximum number of write/erase cycles of the installed NAND flash memory. The block erase cycles (lifespan) of NAND flash are generally 100,000 for SLC type, 20,000 for pseudo-SLC, and 3,000 for MLC. However, when used as storage, the actual lifespan in operation differs from that of the NAND alone due to data management by the controller and firmware. During data writing, the controller may erase and write to multiple blocks of NAND flash within the storage, even if the data size transferred from the host is minimal, following internal management steps. Swissbit's durabit(TM) MLC storage significantly improves durability performance by using advanced page-based FTL mapping to eliminate the effects of read disturb, along with error handling through read refresh and ECC, and read retry processing to improve uncorrectable pages depending on temperature conditions. It is a high-performance model of MLC NAND-equipped storage that combines over-provisioning features, cache DRAM, and PBM (page-based mapping).

  • Storage
  • SSD
  • Other embedded systems (software and hardware)
  • prediction

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Prediction of external noise at the window (consideration of sash grade)

Prediction of external noise at the window (consideration of sash grade)

We will design the necessary sash grades for the indoor target values.

It predicts the noise level exposed on the window surface based on frequency data of the sound source, position, size, and occurrence frequency, and calculates the necessary sound insulation required to meet the target value indoors.

  • Contract measurement
  • prediction

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Predicting river flooding by combining cellular LPWA and LiDAR.

Predicting river flooding by combining cellular LPWA and LiDAR.

Constantly monitor river water levels and tidal changes due to tsunamis. Enable flood predictions using AI.

Exhibition of an environmental data measurement system that combines a cellular LPWA device (Ramble) and LiDAR (Vu8). It is intended for use in monitoring river conditions (water level, turbidity, waves, etc.) and fog detection. The cellular communication adopts the LTE-catM1 method (powered by KDDI). (LPWA stands for Low Power Wide Area, a system commonly used in the IoT field.) *Currently, basic knowledge materials about the wireless communication method "cellular LPWA" can be viewed via PDF download. 【System Configuration】 ◎ LiDAR "Vu8" 　■ Lightweight and compact design 　■ Fixed beam type with multi-echo capability 　■ Maximum detection distance of 215m ◎ Cellular LPWA device "Ramble" 　■ Adopts KDDI's LTE Cat.M1 　■ Capable of mobile communication 　■ Equipped with SPI/I2C/GPIO interfaces *For more details, please refer to the PDF materials or feel free to contact us.

  • Other measurement, recording and measuring instruments
  • Communications
  • prediction

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Book: "Degradation and Lifetime Prediction of Polymer Materials"

Book: "Degradation and Lifetime Prediction of Polymer Materials"

Understand the key points necessary to obtain practical lifespan predictions, and learn the mechanisms and concepts of lifespan from actual prediction cases of polymer materials for different applications.

○Publication Date: November 24, 2009 ○Format: B5 size hardcover, 451 pages ○Price: 66,000 yen (excluding tax) → STbook member price: 62,667 yen (excluding tax) ○Supervised by: Yoshito Otake, Japan Chemical Evaluation and Research Institute ○Authors: Yoshito Otake (Japan Chemical Evaluation and Research Institute) / Kazumi Nakayama (Japan Chemical Evaluation and Research Institute) / Masayuki Ito, Waseda University / Minoru Shinbo, Kanazawa Institute of Technology / Jun Kato, Nissan Arc Co., Ltd. / Noriaki Wada, Bandō Chemical Co., Ltd. / Kazuo Nishimoto, Nichias Corporation (former investigator at the High Pressure Gas Safety Institute, Liquefied Petroleum Gas Research Institute) / Kiyoo Kato, Asahi Kasei Chemicals Corporation / Tomohiro Fukuhara, Omron Corporation / Makihito Morii, Omron Corporation / Naruyuki Mitaji, Tokyo University of Technology / Yoshihisa Kano, Furukawa Electric Co., Ltd. / Akira Motoyama, Panasonic Electric Works Analysis Center Co., Ltd. / Takafumi Iida, Nagase ChemteX Corporation / Eiichi Sugimoto, Dengi Ken Co., Ltd. / Toshihiko Aihara, Nissan Motor Co., Ltd. / Yoshihisa Tajima, Polyplastics Co., Ltd. / Mikihiro Ito, Railway Technical Research Institute / and 5 others.

  • Company：S&T出版
  • Price：10,000 yen-100,000 yen
  • Technical and Reference Books
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Water solubility prediction "Solubility" predicted with high accuracy!

Water solubility prediction "Solubility" predicted with high accuracy!

High-precision solubility prediction tools are extremely important in the early stages of development!

Solubility is one of the key factors in drug discovery that determines the absorption and distribution of molecules, and therefore is always a target for optimization. For this reason, high-precision solubility prediction tools are extremely important in the early stages of development. 【Features】 ■ Predicts solubility based on the topology of the input molecule ■ Calculates solubility at various pH levels ■ Convenient for cases where only rough predictions are needed ■ Demonstrated very high-precision prediction results *For more details, please refer to the PDF document or feel free to contact us.

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

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Environmental assessment and prediction (simulation)

Environmental assessment and prediction (simulation)

Wind damage prediction after apartment construction, road environmental impact assessment, etc.! Evaluations and predictions related to environmental issues.

Our company conducts business to improve the environment along roads by assessing the current state of roadside environments, predicting future environmental conditions, simulating countermeasures, and proposing environmental improvement measures. Furthermore, to provide new technologies, we develop techniques for environmental surveys and environmental simulation programs. We are capable of predicting wind damage after the construction of condominiums, predicting wind damage due to topographical changes, and forecasting atmospheric diffusion considering topographical impacts. 【Service Contents (Excerpt)】 ■ Wind damage prediction after condominium construction ■ Wind damage prediction due to topographical changes ■ Atmospheric diffusion prediction considering topographical impacts ■ Road environment impact assessment ■ Area-based evaluation ■ Continuous environmental monitoring *For more details, please refer to the related links or feel free to contact us.

  • Contract measurement
  • Other contract services
  • prediction

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OIT prediction based on Chemiluminescence data of Polyamide 6 powder.

OIT prediction based on Chemiluminescence data of Polyamide 6 powder.

Predictive analysis of OIT values using heating measurement data up to 190℃!

This document is a technical note explaining the OIT prediction based on Chemiluminescence data for polyamide 6 powder (without added antioxidants). Using heating measurement data up to 190°C (35°C below the melting point), where PA6 is in a state of slight melting of crystalline and amorphous parts, the OIT value is predicted. It was found that the oxidation induction time (OIT) can be predicted in the range of 90°C to 230°C from the heating measurement data at 0.2, 0.4, and 0.8 K/min. For details, please refer to the published catalog. 【Published Data (Excerpt)】 ■ CL strength signal data from 50 to 250°C (0.8 K/min) ■ Selection of appropriate peak integration range ■ Standardization of CL strength curves at 0.2 to 0.8 K/min with a peak integration value of 8.28E8 cts/g ■ Peak integration curve of heating rate 0.8 K/min data ■ CL strength curve log-log plot when the peak integration value is set to 8.28E+8 cts/g *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
  • prediction

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OIT prediction below 130°C based on measured data of polypropylene powder OIT.

OIT prediction below 130°C based on measured data of polypropylene powder OIT.

Predict the CL intensity data of OIT under isothermal conditions below 130°C, lower than 140°C, from the actual measurement data of OIT!

This document is a technical note explaining the OIT predictions below 130°C based on measured OIT data of polypropylene powder. By analyzing the measured OIT data of PP powder under isothermal conditions at 140, 150, and 160°C, OIT values from 50 to 200°C were predicted. The predicted OIT values up to 90°C were almost accurate, but the predicted OIT values below 90°C were shorter in duration compared to the measured values. For more details, please refer to the published catalog, and we encourage you to read it. 【Published Data (Excerpt)】 ■ Measured OIT data of PP (powder) at isothermal conditions of 140, 150, and 160°C ■ Reaction rate curves calculated from measured isothermal data at 140, 150, and 160°C ■ CL strength data curves obtained from measured isothermal data at 140, 150, and 160°C ■ Display of CL data on the reaction rate curve (Log scale) ■ Display of the entire range of CL data on the reaction rate curve (Log scale) *For more details, please download the PDF or feel free to contact us.

  • Business Intelligence and Data Analysis
  • prediction

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Prediction of power reduction effects from the introduction of inverters.

Prediction of power reduction effects from the introduction of inverters.

Explanation of the characteristics and operating points of induction motors, and how the operating points change with inverters!

It is said that the power consumed by three-phase induction motors accounts for 40-50% of the world's electricity consumption, making them devices that consume a significant amount of power. In Japan, the number of motors in use, including those for household purposes, is said to be around 100 million, and it is estimated that they account for 55% of the domestic electricity consumption. When focusing on industrial applications, it is said that motors account for 75% of the electricity consumption. While changing motors to more efficient ones is highly effective for reducing power consumption, it is not easy to replace the motors themselves. It is believed that adding inverters and operating motors efficiently can lead to reductions in power consumption, but it cannot be definitively stated that power consumption can be reduced in all cases. Therefore, SIRC proposes a method to estimate the power reduction effects using IoT power sensor units. *For more detailed information, please refer to the related links. For further details, you can download the PDF or feel free to contact us.*

  • Company：SIRC
  • Price：Other
  • Sensors
  • prediction

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LYNA (Lina) Packaging Quantity Forecast

LYNA (Lina) Packaging Quantity Forecast

An AI specialized in logistics, making anyone a forecasting expert.

With just 7 days of shipping performance data, it quickly learns and predicts shipping volumes with high accuracy. Even new products without historical data are automatically estimated by AI. In the shipping field, there are instances where, despite having order data from stores, the packaging and quantity are unknown, making it difficult to predict shipping volumes. "LYNA Packaging Quantity Prediction" solves this problem. There is no need for any management of product master data. LYNA's unique AI automatically learns the relationship between past order data and shipping volumes, calculating shipping volumes for each store or route.

  • Other information systems
  • prediction

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Fault Prediction × IoT - Building a Predictive Maintenance System

Fault Prediction × IoT - Building a Predictive Maintenance System

Introducing the construction of predictive maintenance systems, including system images and case studies!

The background for the growing attention on anomaly detection and predictive maintenance includes factors such as the increasing complexity of failures and the rising costs of maintenance. This document introduces the construction of predictive maintenance systems. Additionally, it explains the image of predictive maintenance systems, case studies of their construction, and the construction workflow. 【Contents (Excerpt)】 ■ Image of Predictive Maintenance System ■ Predictive Maintenance by Three "Functional Levels" ■ Background for the Attention on Predictive Maintenance ■ Case Studies of Predictive Maintenance System Construction ■ Workflow for Constructing Predictive Maintenance Systems *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems
  • Software (middle, driver, security, etc.)
  • prediction

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3D Simulation: Production Resource Utilization Rate Forecast

3D Simulation: Production Resource Utilization Rate Forecast

Useful for examining equipment performance guarantees! Predicting the operating rate of production resources and confirming coordination with upstream and downstream processes.

The simulation software can not only handle various industrial robots but also production equipment such as parts feeders and conveyors, as well as the operational confirmation of AGVs and workers. Additionally, by pre-validating the operational rates and production forecasts of each production resource and their collaboration with preceding and subsequent processes, it can be useful for verifying cost-effectiveness and considering equipment performance guarantees. Please feel free to contact us when you need assistance. *For more details, please refer to the PDF materials or feel free to reach out to us.

  • Other CAD related software
  • simulator
  • 3D CAD
  • prediction

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Demand forecasting using AI in the manufacturing industry.

Demand forecasting using AI in the manufacturing industry.

Effective for optimizing operations in the manufacturing industry! An explanation of the basics such as implementation steps and case studies.

Demand forecasting refers to predicting future expectations regarding sales and customer numbers, and in the manufacturing industry, demand forecasting using AI is also being implemented. This article explains the necessity and benefits of demand forecasting in the manufacturing industry, the steps for implementing AI, and case studies. It is an article that helps you understand the image of implementing demand forecasting using AI and the steps involved, so please read it through to the end. *For more detailed content of the blog, you can view it through the related links. For more information, please download the PDF or feel free to contact us.

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  • Other operation management software
  • prediction

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Inventory forecasting with predictive AI! Introducing methods and benefits of utilization.

Inventory forecasting with predictive AI! Introducing methods and benefits of utilization.

You can understand the benefits of using demand forecasting AI and effective operational methods.

In companies where inventory management operations occur, accurate inventory forecasting is required. However, achieving accurate inventory forecasts is very challenging, and it is not uncommon to struggle with excess inventory or stock shortages. Additionally, the burden on the personnel responsible for inventory forecasting is also a significant issue. This article will explain the challenges of inventory forecasting operations and discuss the introduction of demand forecasting AI as a method to solve these challenges. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

  • Other operation management software
  • prediction

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What is demand forecasting? A comprehensive explanation from its significance to methods and the latest application examples.

What is demand forecasting? A comprehensive explanation from its significance to methods and the latest application examples.

You can quickly understand everything from the basics of demand forecasting to challenges, solutions, and tips for improving accuracy.

Demand forecasting refers to the process of predicting the sales and customer numbers of a company's products and services. Companies utilize this forecast to aid in inventory management, production planning, and the formulation of marketing strategies. Since demand fluctuates based on market and consumer trends, accurate forecasting is key to enhancing a company's competitiveness. This article will provide a detailed explanation of the fundamental concepts of demand forecasting, the challenges faced and their solutions, as well as points for improving accuracy and trends in the latest technologies. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

  • Other operation management software
  • prediction

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Complete Guide to Inventory Forecasting! Also Introducing Success Stories and Practical Approaches.

Complete Guide to Inventory Forecasting! Also Introducing Success Stories and Practical Approaches.

Understand the concept of demand forecasting and practical points to reduce waste in inventory management.

To manage inventory properly, it is important to accurately forecast the demand for products. As consumer needs diversify and the pace of change increases, making inventory forecasts and maintaining appropriate inventory levels is not easy. Excess inventory incurs additional costs, while shortages can lead to missed sales opportunities. Against this backdrop, it becomes crucial to conduct proper inventory and demand forecasting. Demand forecasting is a strategic means of maintaining optimal inventory levels by analyzing past data and market trends to predict future demand. By carrying out this process correctly, companies can reduce waste in inventory and achieve efficient resource allocation. In this article, we will explain the overview and importance of demand forecasting in inventory management, specific methods, and case studies. *For more detailed content of the blog, please refer to the related links. For further information, you can download the PDF or feel free to contact us.*

  • Other operation management software
  • prediction

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What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

What is sales forecasting? An explanation of calculation methods, how to make forecasts, and ways to improve accuracy.

You will understand improvement measures to increase prediction accuracy and key points for successful operation.

"Sales forecasting" is a key factor that influences business success. By understanding its importance and using appropriate calculation methods, companies can achieve more efficient inventory management and optimize their resources. However, accurately forecasting sales is not easy. This article will provide a detailed explanation of the basic concepts of sales forecasting, how to choose calculation methods, and specific ways to improve accuracy. *For more details, you can view the related links. For further information, please download the PDF or feel free to contact us.*

  • Other operation management software
  • prediction

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What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

What is demand forecasting in inventory management? Explanation of benefits, formulas, and the use of AI.

You will learn how to improve order accuracy with demand forecasting and reduce unnecessary inventory costs.

Demand forecasting in inventory management is a crucial initiative that significantly affects a company's profitability and customer satisfaction. If demand cannot be accurately assessed, risks such as increased costs due to excess inventory and lost sales opportunities due to stockouts can arise. Conversely, effective demand forecasting can lead to inventory optimization, improved operational efficiency, and even increased sales. This article will clearly explain the basics of demand forecasting in inventory management, representative formulas and methods, as well as the latest initiatives utilizing AI. *For more detailed information, you can view the related links. For further details, please download the PDF or feel free to contact us.*

  • Other operation management software
  • prediction

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FEMFAT weld extension module: Fatigue life prediction of welded joints

FEMFAT weld extension module: Fatigue life prediction of welded joints

Practical element division (shell elements) & evaluation method of SolidWELD

In the development of components that include welded structures, accurately predicting the fatigue life of weld joints has become essential. By utilizing FEMFAT weld, precise fatigue life predictions for weld joints can be achieved. FEMFAT weld offers various functions, including sensitivity analysis to identify critical welding shape parameters and evaluation options compliant with standards such as BS7608 and Eurocode 3. When calculating the fatigue life and safety factors of welded structures, the highly flexible analytical methods implemented in FEMFAT weld allow for simultaneous analysis of shell element models and solid element models. For the evaluation of weld root areas and weld termination points, detailed modeling of the fillet shape of the evaluation area can be performed, eliminating the need for extensive manual work. *For more details, please download the PDF or contact us.*

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  • Structural Analysis
  • prediction

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