We will be exhibiting at the Kyoto Business Exchange Fair 2022 from February 17 (Thursday) to February 18 (Friday).

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

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

A must-read for managers and personnel in the technical and quality control departments who want to investigate the causes of quality defects through data analysis!

The occurrence of poor quality is caused by some kind of anomaly in the manufacturing process. Furthermore, that anomaly is reflected in the manufacturing data. Therefore, it is possible to identify the causes of defects through the analysis of manufacturing data. However, simply collecting and analyzing data is not sufficient to identify the causes of defects. It is important to devise a data analysis approach tailored to the purpose. This document introduces the concepts of data analysis approaches necessary for identifying the causes of defects, using Atfields' data analysis approach examples. [Contents] ■ Purpose of this document ■ Assumed issues ■ Examples of data analysis approaches ■ Achievements ■ Service introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

• Other contract services

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

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

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will introduce a number 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 】 31st Measurement and Measurement Exhibition INTERMEASURE 2024 Official Website: https://intermeasure.org/itms2024/ 【 Dates 】 From __ (Wednesday) to __ (Friday), 202_ 【 Venue 】 Tokyo Big Sight (Tokyo International Conference Center) East Hall (Booth Number: ___) 【 Exhibited Products 】 - Air Leak Tester - Hydrogen Leak Detector - Pin Hole (Reference Test Piece) and more. For more details, please refer to the "Related Materials" (PDF file) below.

Nitto Kohki will exhibit at the "H₂ & FC EXPO Spring International Hydrogen and Fuel Cell Exhibition" held at Tokyo Big Sight, West Exhibition Hall 2, from February 28 (Wednesday) to March 1 (Friday), 2024. [Booth Number: W14-63] The quick fluid coupling "Coupler" is a product that allows for the rapid connection and disconnection of piping for various fluids such as air, water, oil, and chemical solutions. At this exhibition, we will primarily showcase the high-pressure hydrogen filling quick fluid coupling "HHV Coupler."

☆☆☆ Urgent Visit to Japan & Emergency Event Announcement ☆☆☆ Dr. Yuval Levy, CEO of ISCFDC and developer of EPPIC, who has been involved in CFD research at NASA Ames Research Center for about five years, is coming to Japan! He will demonstrate and explain advanced CFD technologies, application cases, and the latest features of EPPIC himself. □ Date and Time □ July 31, 2026 (Friday) 13:00-18:00 (Registration starts at 12:30) <Part 1: Post-Processor Session> 13:00-16:40 <Part 2: Pre-Processor Session> 16:50-17:50 <Networking Event> 18:10-19:40 □ For more details □ Visit the Hulinks page https://www.hulinks.co.jp/seminar/eppic/

[Viewer Benefits Available] Explaining Tips for LC in a Short Seminar Do you have concerns such as "I'm unsure about column selection," "I'm struggling to optimize analysis conditions," or "I have challenges analyzing compounds with weak retention" in LC analysis? Waters will hold a seminar titled "Must-Listen! Advanced LC Application Seminar" where you can learn practical LC analysis know-how in just 30 minutes. In this seminar, we will cover useful topics in a total of six sessions, including tips for choosing detectors, how to utilize reverse phase columns, scaling up to preparative LC, approaches for analyzing hydrophilic and highly polar compounds, case studies of low-adsorption HPLC, and improving purity through solid-phase extraction. Each session is scheduled to start at 15:00. Event Themes: • October 6 (Tuesday) - Session 1: Tips for Choosing Detectors • October 13 (Tuesday) - Session 2: Tips for Choosing Columns • October 21 (Wednesday) - Session 3: Tips for Preparative LC • October 27 (Tuesday) - Session 4: Approaches for Analyzing Hydrophilic and Highly Polar Compounds • November 5 (Tuesday) - Session 5: Case Studies of Low-Adsorption HPLC • November 10 (Tuesday) - Session 6: Tips for Solid-Phase Extraction

In liquid biopsy research, we will introduce a technical evaluation of proteome analysis to obtain reliable data from trace plasma, as well as case studies on data quality verification using the Contamination Index and Simple Western.