[Exhibition Participation Information] Smart Energy WEEK Spring (February 19 - February 21)

For use in dispensers for hydrogen stations! Can be used without issues at hydrogen pressures of over 100 MPa. There are production records from a compact size of φ6.

Leveraging our technology in the manufacturing of small metal mesh filters, we have developed a high-pressure resistant mesh filter for dispensers at hydrogen stations. Using sintered metal non-woven fabric made from fine metal fibers at the micron level, it maintains a high porosity while offering excellent filtration precision of 2µm and above. It is also capable of withstanding hydrogen pressures of over 100MPa and exhibits excellent heat and corrosion resistance. [Case Overview] ■ Type: Spot welding type ■ Application: Dispensers for hydrogen stations, etc. ■ Size: φ6 and above *Customizable ■ Material: Metal non-woven fabric, SUS316L *For more details, please download the PDF or feel free to contact us.

• filter
• Hydrogen Generator
• Filters

Achieve cost reduction with our company's designed automatic processing machine!

Our automated processing machine, designed and manufactured by our company, can perform wire mesh punching, drawing, assembly, molding, and dimensioning all with a single press machine. This enables stable production, low costs, short delivery times, and mass production. We provide a consistent production system from mold design and manufacturing to product creation, delivering products quickly from prototypes to mass production. We will propose shapes and materials tailored to your needs. *For more details, please refer to our catalog or feel free to contact us.

• filter
• Gas Filters
• Control Panel Cooler

To construction and civil engineering companies looking for the "next" step in digitalization. This seminar will explain the currently trending topic of "AI utilization" in 45 minutes. We will clearly introduce the latest trends, specific case studies, and steps for implementation to address questions such as "What can AI do?" and "How can it be applied to our business?" Whether your company is already advancing in DX or is just starting to consider AI, you will find hints for improving operational efficiency. 【Schedule】 1: Company introduction and instructor introduction 2: Case studies of AI utilization in the construction and civil engineering industry 3: Convincing examples! Patterns of AI utilization in construction operations 4: Three steps to avoid failure in AI implementation 5: Q&A and closing remarks

We will address the issue of young employees who, despite joining the company, leave due to reasons such as "there's no time to be taught," "I don't understand when I'm told to learn by watching," and "what is written and said varies depending on the project or person in charge." We propose a system that accumulates the know-how of veterans in AI and systems, allowing young employees to search for and solve problems on their own. 【Schedule】 1: Company introduction and instructor introduction 2: Reasons why technical inheritance is not progressing (lack of time, difficulty in verbalizing) 3: "Next-generation manual and know-how sharing methods" utilizing video and AI search 4: Examples of system construction to institutionalize technical inheritance 5: Q&A and closing remarks

[Speaker] Kentarou Kobe, Senior Consultant Mitsubishi Research Institute, Inc. Power and Energy Division Demand Side Innovation Group [Key Lecture Content] As we strive for carbon neutrality, the importance of stationary storage batteries that support the expansion of renewable energy adoption and the stabilization of electricity supply and demand is increasing. On the other hand, the environment surrounding the battery storage business is undergoing significant changes, including the review of electricity markets and systems, increased renewable energy output control, expanded utilization of demand-side resources, grid connection, cell procurement, cybersecurity, and regional coexistence. In this lecture, we will organize the values required for future battery storage businesses from four perspectives: power system value, renewable energy value, consumer value, and regional value. Based on this, we will introduce points for consideration in business development, focusing on grid-connected and renewable energy co-located systems, taking into account the characteristics of each type. [Lecture Items] 1. Current status of the domestic battery storage market and the future image of battery storage required 2. Market and system trends surrounding grid-connected battery storage and key points 3. Market and system trends surrounding renewable energy co-located battery storage and key points 4. Points for consideration in battery storage businesses that provide multiple values 5. Summary 6. Q&A / Business card exchange

[Speaker] Professor Yuji Sekiya, Graduate School of Information Science and Technology, The University of Tokyo [Key Lecture Content] In recent years, the rapid advancement of generative AI has led to the automation and sophistication of cyber attacks, requiring the defense side to adopt responses that differ from traditional approaches. In particular, the dramatic improvement in AI's ability to discover and analyze vulnerabilities is accelerating the identification of unknown vulnerabilities and is changing the very security model of "responding after vulnerabilities are disclosed." This lecture will overview the changes that AI brings to both cyber attacks and defenses, as well as explain the automation of security operations using AI and the practical responses required for IT infrastructure, including cloud and networks. [Lecture Items] 1. The emergence of highly autonomous AI 2. How AI is changing cybersecurity 3. A new world realized by AI multi-agent systems 4. Cyber attacks and defenses in the AI era 5. IT infrastructure required in the AI era 6. Practical responses organizations should undertake now 7. Q&A / Business card exchange

[Speaker] Shintaro Fukazawa President, BM Consulting Co., Ltd. Business Mathematics Educator [Lecture Topics] 1. To everyone who can't find answers even after thinking in the AI era 2. The final conclusion: "The Map of Problem Solving" 3. Introduction to MBA Triple Thinking (Logical Thinking, Lateral Thinking, Critical Thinking) 4. What is "The Map of Problem Solving"? 5. Four conditions for combining Triple Thinking 6. Here is the conclusion! There are only eight ways to arrive at an answer 7. Towards individuals and organizations that can find answers on their own even in the AI era 8. AI will not take action on its own 9. The true meaning of the phrase "Answers will definitely emerge" 10. Q&A