Capsule endoscopes are often used for medical examinations of the digestive system. Currently, endoscopy examination takes a few days to be completed because capsules do not have any actuator. In this study, an inclined-leg actuator inspired by Setaria viridis was developed. Small-sized inclined-leg actuators of the angles (75°) were designed and fabricated, considering as parameters the lengths (4 mm, 8 mm, and 12 mm) of the legs; the running velocities of the actuators were measured when vibrations with different frequencies and amplitudes were applied. At frequencies > 40 Hz, the actuator velocities exceeded the target speed of >10 mm/s. Therefore, the proposed design of vibration-driven actuator has potential to be applied in capsule endoscopes.

Triboelectric nanogenerator (TENG) is well known as one of the energy harvesters. Energy consumption of TENG should be needed to improve to be widely used as the harvester for more applications. In this study, we studied the improvement of energy consumption using TENG made by porous polyvinylidene fluoride (PVDF) with ionic liquid (IL). Porous PVDF was made by mixing hydrofluorocarbon solvent with PVDF and evaporating the hydrofluorocarbon solvent during curing. As the results, when the ionic liquid concentration was 20 ppm, the output doubled when added at 30% vertrel concentration.

In this study, we fabricated flexible piezoelectric energy harvesters (PEHs) from lead-free (K,Na)NbO3(KNN) thin films on stainless steel foils. The KNN thin films were deposited on Pt/Ti-coated stainless steel substrates of 30 μm by RF-magnetron sputtering. We measured output power by vibration applied to PEHs. The maximum output power of 63 nW was measured at a load resistance of 50 kΩ. We also measured output power by large bending deformation applied to card-type PEHs. During periodic bending motion, the maximum output power of 24 nW was measured from the effective area of 40 mm2 at a load resistance of 100 kΩ.

In smart buildings and homes, the most frequently used floor surfaces can extract significant sensory information by incorporating sensors without the use of video imaging. A smart mat containing built-in generators generates power from the energy of human footsteps, enabling sensing without wiring. In a previous study, we developed a smart mat with built-in triboelectric power generators for counting walking steps and performing wireless transmission. In this study, we improved that system to be installed the entry/exit counting function when any person entered and leaved a room. Mats were set on outside and inside the door. Entry and exit were determined based on the signal patterns of passersby stepping on mats inside and outside. Finally, it was conformed that the system worked on the case of 5 different patterns through door.

About production processing technique to utilize AI, IoT in 2 university 1 technical colleges from 2018, the lecture that took in the active learning technique that adopted a workshop was performed. Group work was restricted by a corona evil. Therefore it was lectured production of MC, NC machine tool, electric discharge method, press molding, 3D printer, industrial robots processing technique in the first half year. The student learns the basics of data science and investigates the example of the IoT system. I learned production control technique such as the MRP later, and the example of the IoT system was introduced afterwards. Learning Goals being able to suggest IoT system. I introduced a special lecture with the short remote into an engineer by state-of-the-art of IoT in 2022. The thing that interest, the object of the student was interested in IoT technology and IoT application product at first, interest moved to production control system and IoT service, and interest in agriculture and forestry marine products industry and distribution increased recently. The change of such IoT application field understood that there was a surge of the interest in global warming and SDGs as a result of student questionnaire I understood that it was necessary for the future IoT education to think about the spread to protection and the agriculture and forestry marine products industry of global environments.

In recent years, the deterioration of bridges has progressed rapidly. However, the number of engineers involved in bridge inspections is on the decline. Therefore, it is necessary to save labor in inspection, and screening bridges that require inspection is one of the promising methods. There is a relationship between the amount of bridge use and the progress of damage, and the passage of large vehicles has a particularly large impact on the progress of bridge damage. Therefore, we focused on the traffic volume of large vehicles on the bridge. The vibration of the bridge was collected by vibration sensor that we developed, and the vibration was analyzed by artificial intelligence. As a result, the traffic detection rate for large vehicles was about 90%.

The aim of this study is to provide a convenient steel thickness measurement method by employing the pulsed eddy current. Firstly, the paper introduces an overdampedmathematical model of the measurement circuit with coils. Secondly, to eliminate the random noise, ensemble mean with slight delay is proposed. Plotting this pre-processed signal into the semi-log graph, the paper derives the important damping coefficient. To analyze data, the author found out a relationship that the product of the thickness and the damping coefficient becomes constant. Finally, the effect of lift-offs are discussed by experiments.

We are developing a sensor device for a sensing system that detects soundness of bridges. Results of structural soundness diagnosis are transferred with wireless communication using the generated power by the developed sensing device; we improved the sensor device to increase the power generation performance. We also improved the sensor device to reduce the bending stress in the magnetostrictive material. The experimental results confirmed that the generated energy per 15 minutes was 20.3 mJ. The soundness diagnosis can be done once a day using the generated energy by the developed sensor device.