Domestic railway-maintenance technologies have been developed over more than 100 years of railway operation. Based on these technologies, we are striving to localize the vehicular parts, while the component localization is currently from 90-95%. Foreign manufacturers’ products, however, are still used in the manufacturing of major core components. Bearings are one of the key components in the support of the rotating shaft, and they are the essential components of major railway parts, like axles, electric motors, and gears, as they ensure the running stability of railway vehicles at high speeds. Among them, the axle bearings need to be protected against damage not only due to the possibility of a failure, but also to avoid railway accidents, so a high reliability and stability are required. Therefore, the durability test of axle bearings is both costly and time-consuming. In South Korea, the development of axle bearings has not occurred, but several test benches for a bearing-durability test have recently been developed. The characteristic curve was created using the temperature change according to the rotational speed of the bearing, and the acceleration index was obtained from this characteristic curve.

The aim of this study is to develop a humeral Intramedullary fixation nail (HIFN) suitable for Korean people. In this study, CT images were obtained from 72 Korean cadaveric humeral bones and 3D Korean humeral bone models were reconstructed based on the CT images to investigate anatomical characteristics. Major design parameters of HIFN were selected using the morphological measurement information of the Korean humeral bone models. Through finite element analysis and mechanical tests, the developed HIFN prototype was compared with the Polarus HIFN (ACUMED^ⓡ, USA), and it was found that the HIFN prototype showed similar and/or superior mechanical performance compared to the Polarus HIFN. Also, clinical validation for the HIFN prototype was carried out to check predictable troubles in surgical operations. Finally, optimal design modification was proposed to prevent the possible axillary nerve injury due to the locking screw system of the HIFN prototype.

In the development of intelligent vehicles, path tracking of unmanned vehicle is a basis of autonomous driving and automatic navigation. It is very important to find the exact position of a vehicle for the path tracking, and it is possible to get the position information from GPS. However, the information of GPS is not the current position but the past position because a vehicle is moving and GPS has a time delay. In this paper, therefore, the moving distance of a vehicle is estimated using a direction sensor and a velocity sensor to compensate the position error of GPS. In the steering control, optimal fuzzy rules for the path tracking can be found through the simulation of Simulink. Real driving experiments show that the fuzzy rules are good for the steering control and the position error of GPS is well compensated by the proposed estimation method.

The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized learning control based on adaptive control method. The original motivation of the learning control field was learning in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Some techniques will show up in the numerical simulation for vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link.

The demand for the stable and comfortable cabin of a high speed passenger ship IS increasing, The study on shipboard comfort has been mainly concentrated on the motion control of a whole hull body. In this study, however, a new control system operated by two parallel robots (3RPS, 3SPR) such as the active suspension system of motor vehicle is proposed. The goal of this control is keeping zero velocity of the upper robot (cabin) although the lower robot (ship) is moving by the waves. Jacobian matrix was used to design the controller. From the simulation results, the remarkable reduction of motion of the cabin (upper platform) was observed. The 3SPR parallel robot shows better performance compared to the 3RPS robot.