We will be exhibiting at the Kansai Monozukuri World "Monozukuri AI/IoT Exhibition" from October 5 (Wed) to October 7 (Fri).

As an enabler company for our customers, we contribute to society through manufacturing innovation!

At Fields Technology Co., Ltd. is a group of engineers dedicated to developing the necessary manufacturing conditions and systems for new product development and mass production improvement, primarily in the semiconductor manufacturing field. We provide consistent support from proposing improvement measures aimed at problem-solving to implementing and following up on solutions, by directly addressing issues on-site and utilizing statistical methods based on principles and fundamentals. We promise to be a strong partner in improving our customers' management. 【Business Activities】 ■ Infrastructure system construction and application software development ■ Data collection and analysis ■ Development of manufacturing methods in the manufacturing technology field *For more details, please refer to the PDF document or feel free to contact us.

• Other contract services

Attention managers and personnel in the manufacturing and quality control departments! We present case studies on improvements utilizing data.

To realize a smart factory, it is considered necessary to achieve "connectivity" through the collection and integration of production equipment data. However, simply collecting data and "connecting" it will not yield the management value that was envisioned. It is important to gather and utilize data that "connects" to value. This document presents examples of improvements utilizing data, focusing on the methods for collecting and processing the data necessary to achieve management value. [Recommended for] ■ Those who want to work on smart transformation but don't know where to start ■ Those who want to start collecting data from a single piece of equipment ■ Those who are struggling with data collection from old equipment ■ Those who have collected data from production equipment but are not seeing management results ■ Those who want to know about case studies of data collection services [Contents] ■ Purpose of this document ■ Expected challenges ■ Solutions to the challenges ■ Service introduction ■ Case study introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

Information useful before system implementation, including common challenges and solutions for realizing predictive maintenance of equipment.

Our company provides consistent technical support from the acquisition to the utilization of various data in manufacturing plants. Furthermore, we are capable of building infrastructure, including data collection tools. This document introduces common challenges and solutions in implementing equipment anomaly monitoring, as well as the features of our analysis and anomaly management system, "＠FieldEye Manager," and examples of its utilization. It is recommended for those who want to start predictive maintenance for equipment or have challenges in collecting and utilizing equipment data. *For more details, please check the download button. Feel free to contact us as well.*

• Business Intelligence and Data Analysis

Implementing the necessary functions for effective utilization of manufacturing data! Seamlessly achieving data analysis to anomaly monitoring.

The "@FieldEye Manager" is an analysis and anomaly management system that seamlessly realizes data analysis and anomaly monitoring through centralized data management and modeling. It implements necessary functions for effective utilization of manufacturing data, including "high-speed processing of large volumes of data and external integration," "high-precision analysis," "anomaly detection," and "modeling." In response to the challenge that "most quality anomalies are discovered in later processes, leading to reactive measures and increased losses," there are cases where we have checked 500 equipment parameters in real-time at 10,000 files per day to prevent the outflow of quality anomaly lots in advance. 【Features】 ■ Big Data Support: High-speed search using NoSQL DB ■ Usability: Trimming, overlaying time series, and statistical value display ■ Modeling and Anomaly Detection: Automatic judgment through modeling of normal waveforms *For more details, please refer to the PDF materials or feel free to contact us.

• Other analyses

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 27th INTERPHEX Week Tokyo https://www.interphex.jp/tokyo/ja-jp.html 【 Dates 】 July 9 (Wednesday) - 11 (Friday), 2025 10:00 AM - 5:00 PM 【 Venue 】 Tokyo Big Sight (3-11-1 Ariake, Koto-ku, Tokyo 135-0063)

Data Process Co., Ltd. will exhibit at "IT & Information Systems DXPO Osaka '26" held at Intex Osaka on February 26 (Thursday) and 27 (Friday). At our booth, we will introduce the latest DX solutions, centered around the electronic form solution "i-Reporter," which allows for direct input of paper forms on tablets, as well as "MotionBoard," which supports data utilization for both field and management levels. We will also have demo experiences and consultation corners available, showcasing useful case studies for information system departments in manufacturing, equipment, and distribution. Companies considering the introduction of electronic forms, as well as the digitization and visualization of data, are encouraged to stop by during this opportunity. We sincerely look forward to your visit.

We will explain the considerations for selecting the optimal filter, including the characteristics of membrane materials and structures, international and domestic regulations, and methods for estimating membrane area through small-scale tests. We will introduce key points for designing efficient and reliable filtration processes. 【Main Learning Content】 ■ Understanding the differences in filter materials and structures, and the selection points suitable for the process ■ Specific learning of methods for calculating membrane area using small-scale tests ■ Key points for filter selection and documentation in accordance with international and domestic regulations 【Seminar Overview】 ▪ Date: February 27 (Friday) from 3 PM (approximately 30 minutes) ▪ Method: Webinar recorded broadcast [Japanese, Free] *We apologize, but participation from individuals not affiliated with the same industry or using email addresses other than those of your organization is not permitted. Thank you for your understanding.

Tack Corporation will exhibit at the "AI/DX Sales and Marketing Expo 2026 Spring" held at Tokyo Big Sight. Based on our brand concept "Its evolution comes with ease of use," we provide product services with a focus on detail. We cater to a wide range of customer operations and will always introduce "user-friendly" systems from the customer's perspective. ◆ Event Overview Event Name: AI/DX Sales and Marketing Expo 2026 Spring Date: March 24 (Tuesday) - March 25 (Wednesday), 2026 Venue: Tokyo Big Sight, East Hall 4, 3-11-1 Ariake, Koto-ku, Tokyo 135-0063 ◆ Exhibition Content 【Takumi Series】 For manufacturing and construction industries 'Tack Smart Factory Cloud' For manufacturing and construction industries 'Tack Safety Gate' Security service 'Tack Secure Platform' We plan to showcase various other product services as well. If you have time, please come and visit us. ▼ For more details, please check the official website ▼ https://expo.ipros.jp/event/14277

In the fields of control design and system development, there is a demand for considerations at an earlier stage that do not rely on actual machine verification. In this webinar, we will introduce the concept of model-based development using Dymola, along with examples of its application in HVAC system control, data center cooling, and experiential evaluations in buildings and vehicle interiors. You will experience how integrating physical phenomena with a single modeling language can change the outlook of the design.