Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.
16～30 item / All 37 items
We will design the necessary sash grade for the indoor target values.
It predicts the noise level exposed on the window surface based on the frequency data of the sound source, its position, size, and occurrence frequency, and calculates the necessary sound insulation required to achieve the target value indoors.
![[Book] Implementation of Accelerated Testing and Product Life Prediction (No. 2201)](https://image.www.ipros.com/public/product/image/f24/2000900196/IPROS15343283362289096667.jpeg?w=280&h=280)
【Available for preview】★ Lifespan prediction from sparse data and small data! What is the new method to improve accuracy?
Book Title: Implementation of Accelerated Testing and Product Life Prediction Using Models ★ Planning of accelerated testing, setting conditions, and formulating life prediction equations based on material degradation mechanisms! ■ Key Points of This Book ● Planning, implementation, and how to write and read plots for accelerated testing - Calculation methods for coefficients used in life prediction models - How to write and read plots using the Arrhenius model, Eyring model, and Larson-Miller type - How to write and read S-N curves used for applying the Miner rule - Types, characteristics, and usage of accelerated testing equipment ● Life prediction when data collection is challenging, high-precision product life prediction methods - Life estimation using sparse data - Life prediction based on small data - Life prediction through simulation - High-precision product life prediction methods combining analytical instruments and numerical analysis
Constantly monitoring river water levels and tidal changes due to tsunamis. Making it possible to predict floods using AI.
A demonstration of an environmental data measurement system combining a cellular LPWA device (Ramble) and LiDAR (Vu8). It is intended for use in monitoring river conditions (water level, turbidity, wave patterns, etc.) and fog detection. The cellular communication employs 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 on the wireless communication method "cellular LPWA" are available for download as a PDF. 【System Configuration】 ◎LiDAR "Vu8" ■Lightweight and compact design ■Fixed beam type with multi-echo capability ■Detection range of up to 215m ◎Cellular LPWA device "Ramble" ■Utilizes KDDI's LTE Cat.M1 ■Supports mobile communication ■Equipped with SPI/I2C/GPIO interfaces *For more details, please refer to the PDF document or feel free to contact us.
You can view detailed analyses for each 1km mesh, allowing for effective cost reduction!
Introducing the features of the comprehensive weather and oceanographic portal site "Compass PLUS," which is registered with the Ministry of Land, Infrastructure, Transport and Tourism's NETIS. NETIS Registration Number: QSK-210001-VE This system allows you to freely register 20 forecast locations per contract, making it very cost-effective. The coverage area is extensive, ranging from latitude 23° to 46° North and longitude 120° to 148° East. You can view detailed analyses at 1 km mesh intervals for all these maritime areas, ensuring you are fully prepared for operations in any sea area. 【Features】 ■ Freely register 20 forecast locations per contract ■ Coverage area is extensive, from latitude 23° to 48° North and longitude 120° to 148° East ■ View detailed analyses at 1 km mesh intervals ■ Be fully prepared for operations in any sea area *For more details, please refer to the PDF document or feel free to contact us.
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 it is always a target for optimization. Therefore, 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.
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 predicting atmospheric diffusion considering topographical impacts. 【Service Details (Excerpt)】 ■ Wind damage prediction after condominium construction ■ Wind damage prediction due to topographical changes ■ Atmospheric diffusion prediction considering topographical impacts ■ Road environmental impact assessment ■ Area-based evaluation ■ Continuous environmental monitoring *For more details, please refer to the related links or feel free to contact us.
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 can be 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" addresses this issue. 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.
Predicting the risks for diabetes patients! Anyone can evaluate using "expert" knowledge, helping to solve the future "doctor shortage."
We would like to introduce a case of risk prediction for diabetes patients using the AI platform service "HAMPANAI AI," which allows anyone to easily create AI models. At the university, general staff members were responsible for extracting candidates for health guidance, which raised the possibility of accountability issues due to incorrect risk assessments. After implementation, the AI supported appropriate evaluations from limited information, enabling even those without expertise to make expert-level judgments. [Challenges] ■ General staff members conducted the extraction of candidates for health guidance. ■ There was a possibility of accountability issues due to incorrect risk assessments. ■ The volume of data from experts was large, and the analysis itself was at a high level. *For more details, please refer to the PDF document or feel free to contact us.
Recommended technical proposal for customers considering the measurement of the effectiveness of predictive maintenance and equipment management operations, as well as quality improvement! Utilizing large-scale data and machine learning as well!
This document explains, based on our company's implementation results and experience, the necessary considerations for threshold examination that inevitably arise when conducting predictive maintenance, as well as what indicators should be used when considering and implementing predictive maintenance. Additionally, we focus on the analysis of causal relationships with quality-related issues, which we have received many inquiries about in recent years, in conjunction with equipment maintenance. When building IoT and predictive maintenance systems, it is essential to start with a system that has a completion level of around 60 or 70 points, rather than aiming for a perfect 100-point system from the outset, and to gradually improve the system towards the desired state. This document introduces some of the essence of that approach.
Free seminar ongoing! An easy-to-understand introduction to Weibull analysis.
Weibull analysis is a method that uses the number of failures as input to determine the unreliability. Once the unreliability is known, the failure rate and unreliability can also be determined. Our company regularly holds free seminars on Weibull analysis. We provide clear explanations from the basics of reliability data analysis to an overview of Weibull analysis and representative methods. For more details, please check below. https://www.wavefrontsales.com/teikiseminar/weibull/
2024 Edition! An explanation of how generative AI is bringing innovation to the manufacturing industry.
Have you ever thought about how the manufacturing industry will change due to generative AI? Right now, various technological revolutions, including generative AI, are bringing significant changes to business around us. In particular, if we seek to improve the efficiency of manufacturing processes, reduce costs, and enhance quality even further, leveraging generative AI is an unavoidable path. We continue to explore solutions to the various challenges we face in our daily operations. In this article, we will delve into the innovations that generative AI is bringing to the manufacturing industry and how it will change us in the coming years. *For more details on the blog, you can view the related links. For more information, please download the PDF or feel free to contact us.*
![[English Research Report] 5-Year Forecast for Mobile Core Networks and MEC](https://image.www.ipros.com/public/product/image/afb/2001395552/IPROS8750795602240841437.png?w=280&h=280)
Provides market trends for non-NFV and NFV network functions, including revenue, licenses, average selling prices, and regional forecasts for various network functions.
The "Mobile Core Network & Multi-Access Edge Computing 5-Year July Forecast Report" by Dell'Oro Group provides a comprehensive overview of the wireless packet core market, including user plane functions, policy, signaling, subscriber data management, and IMS core MEC, along with historical data up to the present where applicable. This report covers revenue, licenses, average selling prices, and regional forecasts for various network functions, and comprehensively presents market trends by product and market.
