In this study, we discuss tele-operation of mobile robot to gather information in closed space after disaster. Information gathering by mobile robot need to communicate with operator. In this communication, Robot Wireless Sensor Networks (RWSN) has been proposed to expand tele-operation range by repeaters that relays wireless LAN. However, RWSN has risk such as communication disconnection due to repeater failure or radio frequency interference. When communication is lost, operator cannot tele-operation mobile robot. Therefore, we have proposed tele-operation using LoRaWAN as sub communication infrastructure. We discuss “proportional control tele-operation” as a method of operation when using sub communication infrastructure. In this method, operator's gamepad input is transmitted via LoRaWAN to enable constant operation. However, when the communication quality degrades cause back and forth vibration of mobile robot. This vibration leads to degrade operability of the mobile robot tele-operation system. Therefore, in this paper, we propose a system that suppress operability degradation by vibration of mobile robot.

The persona method, one of the UX design methods, is used in system development as a method for sharing an image of a specific target user and for efficient team activities. Numerous improvements have been made in this method. However, as general education for systems engineer it cannot be said that it has penetrated in actual system development sites, and it is thought that consideration should be given to make it easy for system engineers to learn in order to be widely used. In this study, we propose an effective UX design method for system engineers who design at the system development site as a learning support method of the persona method that can be used in practice. In this paper, we evaluate and analyze the results of a system engineer or system provider who is a novice in UX design practiced using an easy-to-learn persona method.

As a sound source localization method using two microphones, GRODMIC(GROup Delay between MICrophones)has been developed. GRODMIC estimates the time differences of arrival between microphones based on the group delay characteristics corresponding to a propagation delay characteristic identified by a digital filter. In this process, a lot of ripples often occur in the group delay characteristics because of estimation residuals and other reasons, those ripples often degrade the estimation accuracy. Therefore, it is effective to extract reliable group delay samples. In this study, just high reliability group delay samples of a single speech signal are extracted, and thus the estimation performance improvement is attempted. The effectiveness of the method is shown through several experimental results.

Time series forecasting is an essential issue across various fields, particularly for capturing demand fluctuations in sectors like business, economics, network, and inventory management. To address this issue, we propose AESMA (Adaptive Exponential Smoothing Moving Average), a method that combines exponential smoothing and simple moving average techniques to adaptively respond to recent data changes. By placing emphasis on recent observations while accounting for historical trends, AESMA effectively balances short-term fluctuations with long-term patterns. This adaptive capability enhances forecasting accuracy, making AESMA highly applicable for datasets with sudden demand shifts and seasonal fluctuations.