【Exhibition May 13 (Fri) - 14 (Sat)】 We will be exhibiting at the 37th Ishikawa Information System Fair "e-messe Kanazawa 2022"!

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

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 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)

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 invite you to visit us during this busy time. 【 Exhibition Name 】 Automotive Technology Exhibition 2025 YOKOHAMA https://aee.expo-info.jsae.or.jp/ja/yokohama/ (An "online exhibition" will also be held during and around the event period) 【 Dates 】 May 21 (Wednesday) - 23 (Friday), 2024 10:00 AM - 6:00 PM *On the final day, 9:00 AM - 4:00 PM (Online exhibition: May 14 (Wednesday) - June 4 (Wednesday)) 【 Venue 】 Pacifico Yokohama (1-1-1 Minatomirai, Nishi-ku, Yokohama, Kanagawa Prefecture) Our booth number: "Concourse 505"

Nakakin will be exhibiting at 'FOOMA JAPAN 2026 (International Food Industry Exhibition)' held at Tokyo Big Sight. This exhibition proposes "A rich future opened by food technology" through cutting-edge technology, products, and services in food machinery, amidst growing interest in "food safety and security." We aim to facilitate the exchange and dissemination of technology and information related to food machinery, equipment, and associated devices, contributing to the further development of the food industry. We sincerely look forward to your visit.

[Speaker] Academic Visitor, University of Strathclyde, UK Visiting Professor, Offshore Wind Research and Education Center, Kyushu University Senior Researcher, Institute for Sustainable Energy Policies (ISEP) Mr. Yo Yasuda [Lecture Topics] 1. International Trends in Decarbonization and Japan's Position (1) Risks of Fossil Fuel Dependence and Decarbonization as Risk Management (2) Discussions on Decarbonization and Renewable Energy in International Organizations (3) Discussions on Decarbonization and Renewable Energy in Japan (4) Discrepancies Between International and Domestic Discussions (The U.S. is not the world) 2. International Discussions on Large-Scale Introduction of Renewable Energy (1) Electrification and Sector Coupling (Why are EVs and Heat Pumps Advancing?) (2) Externalities and Benefits (Long-Term Perspective and Risk Management) (3) Flexibility (The notion that "renewable energy is unstable" is outdated) 3. Challenges and Solutions for Japan, Methodology for Information Gathering (1) Fake News and Scientific Methodology (2) Non-Scientific Narratives and Evidence-Based Policy Making (EBMP) (3) AI and Specialized Information Retrieval 4. Q&A / Business Card Exchange *Reference: "The Future of 90% Renewable Energy by 2050 - Scenarios and Scientific Basis for Achieving Decarbonization" by Yo Yasuda, Yamato Keikokusha (December 2024)

[Speaker] Akira Yamauchi, President and CEO of Intellectual Property Landscape Co., Ltd. Patent Attorney, AIPE Certified Senior Intellectual Property Analyst [Lecture Topics] 1. What is Physical AI? [1] Industrial Robots [2] Humanoids [3] Autonomous Vehicles as the main fields Overview of the population setting for the three fields and the key players in each field 2. [1] Industrial Robot Analysis 3. [2] Humanoid Analysis 4. [3] Autonomous Vehicle Analysis 5. Summary and Discussion of the Analysis Results for the Three Fields 6. Q&A Session