Research shows that human emotion is closely related to the activity correlation of cerebral cortex, so the research of emotion classification by EEG (Electroencephalogram) provides a reliable basis. The feature extraction and classification application for EEG has been greatly improved in recent years, so we use EEG to study emotion classification. However, there are differences between EEG signals of different subjects, which have a certain impact on emotion classification. How to ensure the high accuracy and robustness of recognition is a problem. For this problem, when studying different subjects in different states, spectrum analysis can be used for their feature extraction. When the extracted features are classified, discriminant analysis algorithm is used and achieved better classification results. There are many methods involved in feature extraction, and different feature extraction methods will be compared later, so as to improve the robustness and efficiency of emotional classification by EEG signals.

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This study evaluates a trajectory generation method for the efficient navigation of autonomous mobile robots in forests. We propose a graph-based cycle generation method. A graph was generated using environmental landmarks as nodes, and the graph was modified to be Eulerian. The Hamiltonian cycle contained nodes that could be regarded as the midpoint between a pair of landmarks; an efficient path could then be found. We applied this method to an artificial forest to verify the feasibility.

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The existing water supply system has poor water supply quality and low level of automatic control. Therefore, this paper designed an automatic water supply system based on Siemens PLC and the software of KingView . The pressure sensor in the water supply pipeline is used to detect the pressure of the pipeline, and the liquid level sensor monitors the liquid level in the tank. The sensor transmits the data to the PLC, and the PLC issues the control instruction after the computation processing. The KingView can realize real-time monitoring and fault alarm. The system can not only avoid the problem of large fluctuation of water pressure, reduce the failure rate of water supply equipment, but also realize the automatic control of water supply system.

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A non-photorealistic rendering method has been proposed for generating a striped image which is overlaid striped patterns in a photograph. The conventional method generates the striped image by an iterative process using an inverse line convergence index filter from the photograph. In this paper, we propose a method to extend the method of generating the striped image so that it can be applied to a video. In the proposed method, it is possible to suppress flicker due to the striped patterns. To verify the effectiveness of the proposed method, an experiment was conducted to visually and quantitatively evaluate the degree of flicker using Yuzenzome video. As a result of the experiment, it was found that the proposed method can suppress flicker.

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This research is part of the Yaskawa Motoman Robot Autonomous Control Project, which aims to map the real workspace in a virtual environment using a depth camera mounted on the robot, and to plan the robot's autonomous obstacle avoidance path based on the 3D octomap. The main tool used in this study is RTAB-Map, which is based on the built-in handheld mapping scheme to improve it to meet our actual needs. After the actual test, our solution shows finer mapping accuracy, can update the map data in real time, and the perception of obstacles within the field of view is more comprehensive, but there is still a lot of room for optimizing the mapping speed.

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Teleoperated rescue robots have recently been on demand. However, it is known that the teleoperation of a robot hand mounted on a rescue robot is difficult. Therefore, we proposed a new haptic device that presents a haptic sensation for the teleoperation of a robot hand. The device stimulates the back of the hand instead of the palm of the operator. The determination of the required specifications by an experiment with subjects is presented in this paper. To design the device, the interval of the stimulation points (i), the diameter of the stimulation point (d), and the force of the stimulation (f) should be optimized. From the experimental results, we found that the accuracy rate was highest, when (i, d, f) = (30mm, 6mm, 0.9kgf). Moreover, we considered the decided specification in an additional experiment.

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This study describes the control method of Automated Guided Vehicles (AGV) movements by using a mind model in order to avoid AGVs interferences. The mind uses the two types of mind, the arrogant mind and the modest mind model. The interferences between AGVs are avoided by repeating the two types of mind changes, the arrogant mind and the modest mind. The mind model includes the deep learning system. By the mind including the deep learning, we can improve the decrease of the route interference time.

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Ensuring traceability of software deliverables is one of the methods to ensure software quality. RETUSS (Real-time Ensure Traceability between UML and Source-code System) is a tool that saves labor and time, and eliminates mistakes by human handling in ensuring traceability between UML and source code. However, RETUSS is not useful due to its limited scope of application. This paper improves the usefulness of RETUSS by extending the function to ensure real-time traceability between UML sequence diagrams and Java source code on RETUSS.

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As the average age of Japan’s population increases, it is becoming increasingly important to identify persons suffering from mild cognitive impairment (MCI), which is one of the pre-stages of dementia, to ensure they have proper care while working to suppress the progression of the disease. As a method for investigating MCI, wallet operation evaluations have been receiving considerable attention recently. Herein, we propose a system for inspecting wallet operation based on deep learning for image processing. In our system, the bills and coins extracted from a wallet are automatically scanned and recognized, which makes it possible to evaluate a person’s ability to correctly select and extract the correct bills and coins from the wallet within a reasonable period.

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In recent years, data-driven control that does not require system modeling has been proposed and extended to a non-linear system by using the database. At this time, various data are required to obtain good control performance but the cost is required. In this paper, a new scheme that enables various data generation and control system design from a set of open-loop data is proposed. Besides, the filter is designed to keep the value of the reference signal constant. A simulation example numerically verifies the effectiveness of the proposed scheme.

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