• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.32 no.10
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• pp.46-52
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• 2004

A design methodology of the redundancy management for a duplex FBW flight control system is introduced. A statistical analysis is applied to determine two design parameters in CCM(Cross Channel Monitor), threshold and persistence count. An analytic redundancy, which is implemented using a Kalman filtering algorithm is considered. The application of an analytic redundancy to the FCS design of the smart UAV has several advantages of increasing the aircraft's survivability and breaking the tie-condition for a duplex FCS. All the redundancy management algorithms are verified through the numeric simulation for the flight dynamics of the XV-15 tilt rotor.

• Proceedings of the KWS Conference
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• 2001.05a
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• pp.65-68
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• 2001

The application of a feedback control system in robotic arc welding is becoming more and more demanding than ever before. This requirement arises from the fact that robotic arc welding process needs no manual operator to monitor and manipulate the process parameters and hence a means of controlling the quality of the robotic arc welding process becomes apparent. Arc force sensor employed in this research to monitor the bead geometry of the arc welding process, A relationship between the bead dimension and the arc force distributions was established. Experimental configuration for measurement of arc force was used to quantify the changes in the arc force distributions of the plate being welded. Arc force sensor mounted at the end of the robot wrist was employed to measure the arc force applied to the weld. The sensor information was the used to establish a relationship between welding current and arc force. Arc force sensor have shown to be on of the most sophisticated technique to monitor perturbations that occurred during arc welding process.

• Journal of Korean Academy of Nursing
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• v.35 no.5
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• pp.787-797
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• 2005

Purpose: The purpose of this study was to examine the effects of problem solving nursing counseling and walking exerciseon weight loss, cardiovascular risk factors, and self-efficacy of diabetic control among obese diabetic patients. The Polar heart rate monitor was used for walking exercise to utilize the Biofeedback mechanism. Method: Fifty nine diabetic patients were conveniently placed into experimental (n=35) and control groups (n=24). The experimental group participated inweekly nursing counseling for 12 weeks and was encouraged to do walking exercise using a Polar monitor. The control group remained in the same treatment as before. The data wascollected from November 2003 to August 2004 and analyzed using t-tests and ANCOVAs. Results: After 12 weeks, the participants in the experimental group reported significantly decreased body weight (p=.004) and total scores on the Parma scale (p=.00l). While the participants in the control group reported significantly increased levels of blood triglyceride (p=.046) and HDL (p=.018). Conclusion: Based on the findings, we concluded that problem focused nursing counseling with intensified walking exercise could reduce the risk of cardiovascular complications and body weight among obese diabetic patients. Future research to explore the long-term effects of nursing counseling on diabetic complications is warranted.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.59-67
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• 2024

Current straw mushroom farming in countries with large rice growing areas has great development potential, and was once considered a way to generate additional income and reduce poverty in rural areas. However, currently most people still grow mushrooms using traditional processes, leading to low productivity and unguaranteed output quality. Currently, due to climate change and unusual weather changes, people tend to switch to growing straw mushrooms indoors. In the process of growing straw mushrooms indoors, the design of an automatic control and monitoring system is very important to ensure the growing process is carried out effectively and achieves high yields. In this paper, we propose a system that can automatically control and monitor the humidity and temperature of the indoor straw mushroom growing process and other parameters that can be monitored through a network system using Internet of Things. The control algorithm automatically adjusts the grow house equipment based on feedback from sensors to maintain an optimal environment for growing straw mushrooms. Experimental results show that the straw mushroom growing system with automatically controlled and monitored environmental parameters helps improve efficiency, reduce costs and increase the sustainability of the current straw mushroom growing industry.

• Journal of Internet Computing and Services
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• v.9 no.3
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• pp.129-139
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• 2008

This paper proposes a Ubiquitous Greenhouse Management System (UGMS) based on USN(Ubiquitous Sensor Network) which can be real-time monitoring and controlling of greenhouse's facilities by collecting environment and soil information with environment and soil sensors, and CCTV camera. The existing systems were controlled simply by temperature. Also, it was possible to monitor only at control room in a greenhouse. For solving problems of the exiting system, our system can remotely monitor and control greenhouse by considering environment information. The detail components are as follows. The system includes the sensor manager and the CCTV manager to gather and manage greenhouse information with soil and the environment sensors, and camera. Also the system has the greenhouse database storing greenhouse information and the greenhouse server transmitting greenhouse information to the GUI and controlling greenhouse. Finally, the GUI showing greenhouse condition to users exists in our system. To verify the executability of the UGMS, after developing the greenhouse model, we confirmed that our system could monitor and control the greenhouse condition at remote GUI by applying the UGMS's components to the model.

• Proceedings of the KSME Conference
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• 2001.11a
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• pp.766-771
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• 2001

Gas-assisted injection molding is an innovative low-pressure injection molding technique that can provide numerous benefits such as reduced part warpage, excellent surface quality without sink marks, low injection pressure, and greater design flexibility. However, the adoption of gas-assisted injection molding may cause unexpected defects if the gas channel design is not conducted properly. The objective of this paper is to broaden the understanding of gas-assisted injection molding by summarizing the design procedures and experimental results of the gas-assisted injection molding of a 17" flat monitor front cover. The gas channels were designed by using Moldflow(MF/GAS) simulations and a 450 ton injection molding machine with a 5 stage pressure control gas kit was used in the experiments.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.9
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• pp.1589-1593
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• 2008

The condition of a high voltage motor was monitored with the motor performance monitor (MPM) at the motor control center. The MPM detected defects in the rotor bar and end ring and input power according to motor and load conditions. The assessment of the condition of a coal pulverizer motor indicated it was clearly in good condition in terms of the rotor bars, over voltage, and motor performance. However, the side bands at frequency, 56.48 Hz indicated existence of rotor end-ring fault. The large torque ripple indicated abnormal operating conditions. After visual inspection, it has been observed that an impeller blade of the circulating water pump was broken off causing the irregular torque pattern.

• International Journal of Quality Innovation
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• v.5 no.1
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• pp.52-67
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• 2004

Successful implementation of statistical process control techniques requires for operational definitions and precise measurements. Nevertheless, very often analysts can dispose of process data available only by linguistic terms, that would be a waste to neglect just because of their intrinsic vagueness. Thus a hybrid approach, which integrates fuzzy set theory and common statistical tools, sounds useful in order to improve effectiveness of statistical process control in such a case. In this work, a fuzzy approach is adopted to manage linguistic information, and the use of a Chi-squared control chart is proposed to monitor process performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.160-166
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• 2021

In this study, we aim to develop a scenario for educational utilization of disaster response robots that can be used at fire sites and analyze the effectiveness of scenarios according to robot utilization education. Our scenarios were developed based on direction, reality, and rationality determined through the use of a questionnaire survey distributed to current firefighters. In addition, the educational utilization of disaster response robots and training effectiveness were analyzed through repetitive robot control training by a robot development team, current firefighters, and college students. Robot control was divided into direct control, monitor control, and simulation control, and tests were carried out five times. As a result of the analysis of the robot control test, the average time spent for each group was 28 seconds for college students, followed by development teams (30second) and incumbent firefighters (38second). According to the individual analysis results, firefighters (maximum 35second) in direct control, the development team (maximum 14second) in monitor control, and firefighters (maximum 22second) in simulation control showed the effect of shortening control time. These results show that robot control education and training is necessary for robots to be used more effectively at disaster sites.

• Transactions of Materials Processing
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• v.14 no.4 s.76
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• pp.368-374
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• 2005

In the present study we used a diagrammatic analysis of 6 sigma quality control and Taguchi method for injection molding of monitor back-cover, evaluated the influence on the cycle time with part design, mold design, molding process and standardization activity involving design and molding, adopted analysis of sensitivity and effective factors of the part design and molding process conditions for productivity, identified main design molding factors. The contributing factors for the final cycle time could be enumerated as follows; the thickness of hot spot, main nominal part thickness, coolant inlet temperature, melt temperature and cooling line layout, etc.. As a first step, all the critical factors of design process applied to the current monitor housing were investigated through 6 sigma process. Thereafter, the optimal and better critical factors found in the first step were applied to new product design to prove that our process was correct. The Moldflow was used for injection molding simulation, and Minitab software for the statistical analysis, respectively. Finally, the productivity of new design was increased about 33 percents for our specific case.