Compression ignition diesel engine can reduce carbon emission than gasoline engine in case of high efficiency, output and durability. So, compression ignition diesel engine is used in various fields such as automobiles, industries and so on. Due to reducing of emission exhaust by Developing of injection and combustion type of diesel engine, emission of pollution substance is developed compared the past. Moreover, its efficiency and reduce of carbon emission is better than gasoline engine and it is used in power source of industries, transports and others because of its high efficiency and durability nowadays. In this study, we experiment by making and designing of compression ignition diesel engine witch has air-cooling, 2 cylinder and 2 strokes.

This study propose a new approach to control the optimal working path of vertical type articulated robot with translation joint for trimming working process automation in forging manufacturing process. The basic structure of the proposed robotic joints controller consists of a Proportional-Intergral controller and a Proportional-Derivative controller in parallel. The proposed control scheme takes advantage of the properties of the fuzzy PID controllers. The proposed method is suitable to control of the trajectory and path control in cartesian space for vertical type articulated robot manipulator. The results illustrates that the proposed fuzzy computed torque controller is more stable and robust than the conventional computed torque controller. The reliability is varified by simulation test for vertical type s articulated robot with seven joints including one trqanslation joint.

In this paper, the design of a novel 6-axis compliance device with force/torque sensing capability and the experiment results on force measurement are presented. Unlike the traditional control methods using a force/torque sensor with very limited compliance, the force control method employs a compliant device to provide sufficient compliance between an industrial robot and a rigid environment for more stable force control. The proposed compliance device is designed to have a diagonal stiffness matrix at the tip and uses strain gauge measurement which is robust to dust and oil. The measurement circuit is designed with low-cost IC chips however the force resolution is 0.04N.

In this paper, we propose the performance enhancement of solar individual string power generation system using booster power control for voltage compensation. The proposed control method determines the variable voltage for the compensator using direct power control (DPC) modeling applied to motion factor estimation. This method also maintains excellent dynamic response to the characteristics of direct power control (DPC) by calculating the mismatch ratio of the arrestered PV modules. The validity of the proposed algorithm is verified through simulation and experiments.

The purpose of this study is to compare life stress between primigravida and multigravida in advanced maternal age. A cross-sectional study was performed for 133 pregnancy women (primigravida group 53, multigravida group 80). The all women were old age (${\geq}35years$) and pregnant. We used the questionnaire to self-report general characteristics, obstetric characteristics and life stress. The average of participants age was 36.15 years old, primigravida was 36.08 and multigravida was 36.19. The mean of total life stress score was 2.68 and the total life score for pregnant women of lower education level was higher. The marital relationship of primigravida was lower than multigravida(mean, .06 vs. .26; p=.021). As our study shows that stress of marital relationship is higher in the multigravida than primigravida, the life stress care for advanced maternal age is important.

This Study Propose A New Approach To Impliment A Intelligent Robot Control Based on Voice Recognition For Smart Factory Automation Since human usually communicate each other by voices, it is very convenient if voice is used to command humanoid robots or the other type robot system. A lot of researches has been performed about voice recognition systems for this purpose. Hidden Markov Model is a robust statistical methodology for efficient voice recognition in noise environments. It has being tested in a wide range of applications. A prediction approach traditionally applied for the text compression and coding, Prediction by Partial Matching which is a finite-context statistical modeling technique and can predict the next characters based on the context, has shown a great potential in developing novel solutions to several language modeling problems in speech recognition. It was illustrated the reliability of voice recognition by experiments for humanoid robot with 26 joints as the purpose of application to the manufacturing process.

This paper presents a collision free mobile robot navigation based on the fuzzy inference fusion model in unkonown environments using multi-ultrasonic sensor. Six ultrasonic sensors are used for the collision avoidance approach where CCD camera sensors is used for the trajectory following approach. The fuzzy system is composed of three inputs which are the six distance sensors and the camera, two outputs which are the left and right velocities of the mobile robot's wheels, and three cost functions for the robot's movement, direction, obstacle avoidance, and rotation. For the evaluation of the proposed algorithm, we performed real experiments with mobile robot with ultrasonic sensors. The results show that the proposed algorithm is apt to identify obstacles in unknown environments to guide the robot to the goal location safely.