• The Research Journal of the Costume Culture
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• v.18 no.6
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• pp.1254-1260
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• 2010

In such special or precious occasions as a wedding ceremony, brides, handicapped or not, wish to wear a beautiful wedding dress. However, an ordinary wedding dress is not suitable nor convenient to a bride who has a bodily impediment. A one-piece type wedding dress, which even a normal bride needs assistants to help her wear, will create more inconvenience to crippled females. In this connection, this study is purposed to convert a normal ready-made wedding dress design into one suitable to the bodily handicapped females. For handicapped people on a wheelchair who generally put on and off a wedding dress while sitting on the chair, a one-piece type wedding dress is divided into the top and the skirt to make it a two-piece type wedding dress which is easy to get into and take off. The top should be separated from the skirt in such a manner that the wearer may not be aware of the division of the two pieces but easily put on and off since the sides or back of the top is opened. An opening is also given to the sides of the skirt so that handicapped people may sit on the skirt on the chair and then close the opening by themselves. Converting ready-made wedding dress design into functional clothes for handicapped people is really significant in that ready-made clothes can be recycled, their production cost reduced, and the economic burden of handicapped people relieved.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.65-68
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• 1999

In this study, an off-line automatic teaching method using vision information for robotic assembly task is proposed. Many of industrial robots are still taught and programmed by a teaching pendant. The robot is guided by a human operator to the desired application locations. These motions are recorded and are later edited, within the robotic language using in the robot controller, and played back repetitively to perform the robot task. This conventional teaching method is time-consuming and somewhat dangerous. In the proposed method, the operator teaches the desired locations on the image acquired through CCD camera mounted on the robot hand. The robotic language program is automatically generated and transferred to the robot controller. This teaching process is implemented through an off-line programming(OLP) software. The OLP is developed for the robotic assembly system used in this study. In order to transform the location on image coordinates into robot coordinates, a calibration process is established. The proposed teaching method is implemented and evaluated on the assembly system for soldering electronic parts on a circuit board. A six-axis articulated robot executes assembly task according to the off-line automatic teaching.

• Journal of the Korean Society for Precision Engineering
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• v.13 no.6
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• pp.102-113
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• 1996

An experimental and theoretical study on a pneumatic servo system has been conducted using on-off valves and a pneumatic cylinder. A V/I converter has been designed for rapid rising and falling of the solenoid current, which significantly improves the positioning accuracy and settling time of the servo system by shortening the valve opening time. Pulse width modulation was modified to operate on-off valves effectively. A state feedback controller which feeds back position, velocity and acceleration is used to control the system. The influence of controller gains on the system performance is studied to develop a scheme that automatically adjusts the gains using fuzzy logic theory. It is shown experimentally that the proposed fuzzy logic tuner works satisfactorily. A new method for measurements of valve effective areas is proposed, and a partially polytropic model is applied to simulation of the pneumatic system. Simulated results show good agreement with experimental data.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2007.04a
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• pp.245-249
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• 2007

In this study a model-based diagnostic method using the Neural Network was proposed for PW206C turbo shaft engine and performance model was developed by SIMULINK. Fault and test database to build the NN was obtained at various off-design operating range such as flight altitude, flight Mach number and gas generator rotational speed variation. According to the fault detection analysis results, it was confirmed that the proposed fault detection method could find well the fault of compressor, compressor turbine and power turbine at on-design point as well as off-design point conditions.

• Journal of the Korean Society of Propulsion Engineers
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• v.11 no.3
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• pp.29-34
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• 2007

In this study a model-based diagnostic method using the Neural Network was proposed for PW206C turbo shaft engine and performance model was developed by SIMULINK. Fault and test database to build the NN was obtained at various off-design operating range such as flight altitude, flight Mach number and gas generator rotational speed variation. According to the fault detection analysis results, it was confirmed that the proposed fault detection method could find well the fault of compressor, compressor turbine and power turbine at on-design point as well as off-design point conditions.

• Journal of the Korean Society of Physical Medicine
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• v.10 no.4
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• pp.39-48
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• 2015

PURPOSE: This study aimed to compare the degree of lumbopelvic rotation during the active straight leg raise (ASLR) test in chronic low back pain with and without lumbar segmental instability. METHODS: A total of 71 patients with chronic low back pain were recruited for this study. The subjects who tested positive for more than three of the five lumbar segmental instability tests (prone lumbar instability, lumbar passive extension test, anterior posterior mobility test, passive straight leg raise, age) were categorized into the lumbar segmental instability positive group. Patients who tested positive for less than three of the five tests were categorized into the lumbar segmental instability negative group. The lumbopelvic rotation was measured three times during ASLR and a mean was determined. Subjective heaviness during the ASLR was measured on 6 point scale. RESULTS: There was a statistically significant difference in the lumbopelvic rotation angle between the groups with and without lumbar segmental instability (p<.01). There was no significant difference in the subjective heaviness during ASLR. The mean lumbopelvic rotation angle during ASLR was $13.54{\pm}2.86^{\circ}$, and $8.81{\pm}2.47^{\circ}$ in the positive and negative groups, respectively (p<.01). The cut-off value of the lumbopelvic rotation during was $10.5^{\circ}$, the sensitivity was 82.9%, and the specificity was 80.6%. CONCLUSION: These results suggest that lumbopelvic rotation is more prevalent in patients without lumbar segmental instability. Clinically, this important when diagnosing chronic low back pain with lumbar segmental instability, as the lumbopelvic rotation angle during the ASLR test can be used to aid in diagnosis.

• The Transactions of the Korean Institute of Power Electronics
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• v.13 no.1
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• pp.33-40
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• 2008

This paper proposes a sensorless drive method that estimates the rotor position by analysing Back EMF of single-phase Switched Reluctance motor (SRM). The rotor position information is necessary required, because SRM's torque is generated by exciting a stator winding according to rotor position. In order to detect the position of the rotor, the various rotor position sensors have been used. However, most of the position sensors not only increase the construction cost and the volume of the motor but also decrease reliability of driving system with environment. This paper proposed the method using the Back EMF to solve such problems. When a rotor and stator are overlapped, the Back EMF is sharply changed. By detecting this point, the rotor position can be estimated. Thus SRM is driven by turn on and turn off switches at the proper position through speed calculation. The validity of proposed method is verified through simulation and experiment.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.3
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• pp.302-309
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• 2020

Early-detection and monitoring of toxic chemical gas cloud with chemical detector is essential for reducing the number of casualties. Conventional method for chemical detection and reconnaissance has the limitation in approaching to chemically contaminated site and prompt understanding for the situation. Stand-off detector can detect and identify the chemical gas at a long distance but it cannot know exact distance and position. Chemical detection UAV is an emerging platform for its high mobility and operation safety. In this study, we have conducted chemical gas cloud detection with the stand-off chemical detector and the chemical detection UAV. DMMP vapor was generated in the area where the cloud can be detected through the field of view(FOV) of stand-off chemical detector. Monitoring the vapor cloud with standoff detector, the chemical detection UAV moved back and forth at the area DMMP vapor being generated to detect the chemical contamination. The hybrid detection system with standoff cloud detection and point detection by chemical sensors with UAV seems to be very efficient as a new concept of chemical detection.

• Smart Media Journal
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• v.11 no.3
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• pp.90-101
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• 2022

Buses are a popular means of transportation. As such, thorough preparation is needed for passenger safety management. However, the safety system is insufficient because there are accidents such as a death accident occurred when the bus departed without recognizing the elderly approaching to get on in 2018. There is a safety system that prevents pinching accidents through sensors on the back door stairs, but such a system does not prevent accidents that occur in the process of getting on and off like the above accident. If it is possible to predict the intention of bus passengers to get on and off, it will help to develop a safety system to prevent such accidents. However, studies predicting the intention of passengers to get on and off are insufficient. Therefore, in this paper, we propose a 1×1 CNN3D-based getting on and off intention prediction model using skeleton keypoints of passengers extracted from the camera image attached to the bus through UDP-Pose. The proposed model shows approximately 1~2% higher accuracy than the RNN and LSTM models in predicting passenger's getting on and off intentions.

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.445-447
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• 2007

This paper is seeing as one big cause that reduce Life Time of sensor node become soft if BackOff Time is prolonged in CDMA/CA of competition way that consist at data transmission of each sensor nodes base sensor network environment. So solution method uses GTS, wish to reduce competition Node's, and minimise data transmission delay.