Web Seminar on 4/19: "GDP Mapping and Temperature Monitoring Strategies in the Post-Corona Era"

Wireless monitoring of temperature and humidity in various controlled environments such as warehouses, manufacturing sites, clean rooms, and laboratories!

The RFL100 data logger uses Vaisala's proprietary VaiNet wireless technology, allowing for monitoring in various environments from warehouses to manufacturing sites, clean rooms, and laboratories. VaiNet wireless technology is based on LoRa(R) modulation technology, providing highly reliable and robust wireless signals even in long-range and complex obstacle environments. With this wireless technology, the data logger can transmit signals up to approximately 100 meters without signal amplifiers or repeaters (this may vary depending on conditions). The RFL data logger is used in conjunction with the viewLinc enterprise server software (version 5.0 and later). The RFL wireless data logger connects to the VaiNet network using Vaisala's AP10 access point. The data logger is suitable for monitoring temperature and humidity in controlled environments, alarm notifications, and report generation. The RFL100 can also be selected as a temperature-only data logger. *For more details, please request documentation or view the PDF data available for download.

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In this webinar, we will clearly explain effective operational methods based on media characteristics, timing for posting, and points for improvement after publication. It is not only important to "collect applications" in recruitment. To prevent mismatches and early turnover after hiring, it is crucial to review the entire recruitment process, including how job information is conveyed and what to confirm during the selection process. Therefore, we will also introduce how to design the recruitment process to prevent discrepancies in understanding with job seekers and to enhance retention rates. Additionally, in small and medium-sized enterprises with few recruitment personnel, the workload involved in creating job postings, responding to applicants, and measuring effectiveness can become a significant burden. We will also explain how to systematize and streamline media operations to make recruitment tasks more efficient, allowing continuous recruitment activities even with limited personnel. Finally, based on the content introduced this time, we will organize and convey specific improvement actions that can be implemented starting tomorrow. Even companies that find it difficult to increase their recruitment budget may have the potential to enhance recruitment outcomes by reviewing their choice of job media, job postings, operational methods, and recruitment processes.

Our company will be exhibiting at the on-site DX EXPO【Autumn】held at Makuhari Messe, in collaboration with Japan Comsys Corporation, TOSYS Corporation, NDS Corporation, and Tomei Communication Industry Corporation, as part of the Comsys Group. This exhibition is held within the "Japan DX & AX Week" and is a specialized exhibition where the latest solutions supporting digital transformation (DX) such as image processing AI, remote monitoring, and robotics gather for those working in various fields such as construction sites and factories. We will also be introducing various AI-powered solutions from our company. Exhibited Products: - Collaborative solutions from various companies (AIJO Site Monitor 'Bear Detection Solution') - AI rebar shape measurement system 'AIJO Rebar King -AIJO HiKing-' - AI monitoring solution 'AIJO Site Monitor' - Safety gear inspection before work 'AIJO Safety' - Product appearance inspection solution for manufacturing industry 'AIJO Check AItem' - Automated drone inspection service for solar power plants 'AIJO Check Solar' and more.

JMP is software that not only excels in statistical analysis and graph creation but also has robust features for experimental design. By utilizing experimental design, efficient data collection can be achieved while minimizing time and costs. In this seminar, we will focus on the features of experimental design, specifically the sample size explorer and Bayesian optimization, and demonstrate examples of their application in the manufacturing industry. 【Overview】 First half: Utilization of t-tests in the manufacturing industry and simulation of required data numbers We will explain the overview and examples of t-tests, which are used for various purposes in the manufacturing industry, and present analysis examples using JMP. Additionally, we will introduce a method to simulate the relationship between the required data numbers for t-tests and statistical power using the sample size explorer. Second half: How to utilize JMP Pro Bayesian optimization – Application to simulation experimental data The Bayesian optimization platform is originally designed for experimental data that includes measurement errors, but there is also a strong demand to apply it to simulation experimental data that does not contain errors, such as CAE. In this seminar, we will introduce approaches for utilizing Bayesian optimization with simulation experimental data.

Nitto Kohki will hold the "2025 Attack Fair in Meiko" for two days from July 23 (Wednesday) to July 24 (Thursday), 2025, at the "Kowa Seminar Plaza 2F Training Room No. 12 (inside Kowa Sports Land)." The Attack Fair is an exhibition where you can actually "see, touch, and operate" Nitto Kohki's products. Additionally, there will be wonderful souvenirs for attendees and many fun activities prepared. We look forward to welcoming everyone!

"The training ends up being just a formality, and the effects are not felt." "Is it really okay to implement uniform training methods in a workplace with employees who have diverse values?" If you are responsible for or promoting human resource development, you may have encountered such challenges. In this seminar, we will introduce human resource development methods tailored to individual skills, experience levels, and career perspectives, using real examples. We will also provide a detailed explanation of "personalized learning," which allows for the individual optimization of learning based on personal abilities, skills, and career perspectives made possible by the advent of AI. ◆ Recommended for: - Those who are implementing employee development measures but are not feeling the effects. - Those looking for ways to enhance employees' autonomous learning and motivation to learn. - Those interested in the latest human resource development methods utilizing AI. ◆ Topics to be discussed: - Only 11% of companies are implementing reskilling measures? The reality of corporate human resource development. - What is an Individual Development Plan (IDP) that maximizes individual potential? - Actual implementation of individual capability development plans. - Optimization and effect maximization of human resource development using AI.