• Journal of Korean Physical Therapy Science
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• v.3 no.2
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• pp.1011-1019
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• 1996

The incidence of spinal cord injury increase due to traffic accident, industrial accident and leisure sports. Spinal cord injury damages motor and sensory function below the injury level, also affects autonomic functions associated with voiding and defecation. Sexual dysfunction and psychosocial, vocational maladaptations are also some of the unwanted consequences of injury. The purpose of this study is look for means to prevent and to manage complications in spinal cord injury through investigation and analysis. The subjects of this study in spinal cord injured patients were admitted to the department of physical therapy, Kwangju christian Hospital, Nam Kwang Hospital, Chun Nam university Hospital and Cho Sun university Hospital, from April, 1, 1995 to March, 31, 1996. The results are as follows: 1. The subjects comprised 96 cases of spinal cord injury, ranging from 17 to 85(mean-40.8 yrs) and included 72 males and 24 females. Among these patients, 58 were cervical injury, 20 were thoracic injury and 18 were lumbar injury. 2. As for a major causative of spinal cord injury were traffic accident(59.4%), fall down (27.1 %), and motocycle(4.2%).. 3. The bladder control were taken by indwelling cathetar(41.7%), Crede maneuver(37.5%) and self voiding(16.7%). The bowel control were taken by all aid(61.5%), assitance(32.3%) and self defecation(6.2%). 4. Possible of sexual function were 35 cases (47.9%). 5. The device of transfer used wheel chair(69.8%) and bed(16.7%). 6. The patients with higher cord lesion got more serious pain than lower cord lesion. Also the patients with higher cord lesion got a serious spasticity. 7. The incidence of decubitus ulcer among 96 patients were in case 46(47.9%). The largest group of the pressure sore sites were sacral portion(82.0%), less than 1 month of onset occured a large numbers(50%). Incidence of pressure sore by spasticity occured many patients in case of mild or moderate. Incidence of pressure sore by pain occured many patients in case of severe pain.

• Journal of Biosystems Engineering
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• v.41 no.1
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• pp.12-20
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• 2016

Purpose: Pepper prices have risen continuously because of a decrease in cultivation area; therefore, mechanical harvesting systems for peppers should be developed to reduce cost, time, and labor during harvest. In this study, a screw type picking head for a self-propelled pepper harvester was developed, and the optimal working conditions were evaluated considering helix types, winding directions of helix, and rotational speeds of the helix. Methods: The screw type was selected for the picking head after analyzing previous studies, and the device consisted of helices and a feed chain mechanism for conveying pepper branches. A double helix and a triple helix were manufactured, and rotational speeds of 200, 300, and 400 rpm were tested. The device was controlled by a variable speed (VS) motor and an inverter. Both the forward and reverse directions were tested for the winding and rotating directions of the helix. An experiment crop (cultivar: Longgreenmat) was cultivated in a plastic greenhouse. The test results were analyzed using the SAS program with ANOVA to examine the relationship between each factor and the performance of the picking head. Results: The results of the double and triple helix tests in the reverse direction showed gross harvest efficiency levels of 60-95%, mechanical damage rates of 8-20%, and net marketable portion rates of 50-80%. The dividing ratio was highest at a rotational speed of 400 rpm. Gross harvest efficiency was influenced by the types of helix and rotational speed. Net marketable portion was influenced by rotational speed but not influenced by the type of helix. Mechanical damage was not influenced by the type of helix or rotational speed. Conclusions: Best gross harvest efficiency was obtained at a rotational speed of 400 rpm; however, operating the device at that speed resulted in vibration, which should be reduced.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.111-138
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• 2001

Currently marketing researchers are investigating the causal variables affecting to salesforces' performances. Some researchers found personal and organizational affecting variables as well as structural context of variables. But almost affecting variables examined in salesforce performance researches are personal characteristics. Such organizational variables like leadership, organization's market orientation would be worth to examine in salesforce performance researches. Thus this research is intended to analyze effects of personal and organizational characteristics on salesforces' performances. Data for this research were elicited from sales representatives of motor companies. Data collected were analyzed by regression analysis using SPSSWIN Ver.10.0. The following are major findings of this research. 1. Leadership whether transformational or transactional affected on salesforces' performances. But it was not accepted that transformational leadership would be superior than transactional leadership. 2. Market Orientation of organization affected on its salesforces' performances. 3. Personal characteristics such as need for achievement, compensation predispositon, self efficacy, learning goal orientation were affect on salesforces' performances. But it found that effects of intrinsic compensation predisposition on salesforces, performances were reverser (-). Based on the above findings, the following conclusion could be drawn: 1. Organizational variables like leadership and market orientation are key managerial variables in the sales organization, meaning that sales manager development and organization's market-driven culture are important. 2. Through recruiting and educating, raising salesforces' self-esteem is necessitated.

• Journal of Ocean Engineering and Technology
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• v.25 no.6
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• pp.1-8
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• 2011

This paper describes a new method for a digital gas metal arc welding (GMAW) system. The GMAW system is an arc welding process that incorporates the GMAW power source (PS-GMAW) with a wire feed unit (WFU). The PS-GMAW requires an electric power of constant voltage. A constant magnitude is maintained for the arc current by controlling the wire-feed speed of the WFU. A mathematical model is derived, and a self-tuning fuzzy proportional-integral-derivative (PID) controller is designed and applied to control the welding current. The electrode wire feeding mechanism with this controller is driven by a DC motor, which can compensate for both the molten part of the electrode and undesirable fluctuations in the arc length during the welding process. By accurately maintaining the output welding current and welding voltage at constant values during the welding process, excellent welding results can be obtained. Simulation and experimental results are shown to prove the effectiveness of the proposed controller.

• The Journal of the Korea Contents Association
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• v.16 no.10
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• pp.277-290
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• 2016

This research is about brief accomplishment analysis of Low-Income Class Business Incubator Project, based on applicants' perspective who has been supported by this project, which is funded by the enterprise. As a result of 'quality focused evaluation method', it shows that Low-Income Class Business Incubator Project's applicants experience both economic and non-economic accomplishments such as "work with responsibility," "better future in reality," "Self and change of relationships around self". It concludes that "experience of difference" or "providing hope for Low-income class" brought positive effects on applicants who participated in this projects. The study revealed the virtue of this Low-Income Class Business Incubator Project and reassured its message: the importance of major corporate' responsibility in solving social issues, especially in poverty and its independence.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.5
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• pp.393-400
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• 2015

This paper describes the development of a chest-wearable robot that can efficiently perform self walking rehabilitation without a helper. The features of the developed robot are divided into three parts. First, as a mechanical characteristic, the conventional elbow crutch is attached at the forearm. However, the proposed robot is attached to the patient's chest, enabling them to feel free to use their hands and eliminate the burden of the arms. Second, as a characteristic of the driving algorithm, pressure sensors attached to the chest automatically perceive the patient's walking intention and move the robot-leg thereafter. Also, for safety, it stops operating when an obstacle is found in front of the patient by using ultrasonic sensors and generates a beeping sound. Finally, by using the scotch yoke mechanism, supporting legs are moved up and down using a rotary servo motor without excessive torque that is generated by large ground reaction forces. We showed that the developed robot can effectively perform self walking rehabilitation through walking experiments, and its performance was verified using Electromyograph (EMG) sensors.

• International Journal of Control, Automation, and Systems
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• v.6 no.3
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• pp.453-459
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• 2008

The neural network is currently being used throughout numerous control system fields. However, it is not easy to obtain an input-output pattern when the neural network is used for the system of a single feedback controller and it is difficult to obtain satisfactory performance with when the load changes rapidly or disturbance is applied. To resolve these problems, this paper proposes a new mode to implement a neural network controller by installing a real object for control and an algorithm for this, which can replace the existing method of implementing a neural network controller by utilizing activation function at the output node. The real plant object for controlling of this mode implements a simple neural network controller replacing the activation function and provides the error back propagation path to calculate the error at the output node. As the controller is designed using a simple structure neural network, the input-output pattern problem is solved naturally and real-time learning becomes possible through the general error back propagation algorithm. The new algorithm applied neural network controller gives excellent performance for initial and tracking response and shows a robust performance for rapid load change and disturbance, in which the permissible error surpasses the range border. The effect of the proposed control algorithm was verified in a test that controlled the speed of a motor equipped with a high speed computing capable DSP on which the proposed algorithm was loaded.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.2 s.314
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• pp.24-31
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• 2007

This paper presents self tuning PI(STPI) controller of IPMSM drive using neural network. In general, PI controller in computer numerically controlled machine process fixed gain. They may perform well under some operating conditions, but not all. To increase the robustness of fixed gain PI controller, STPI controller proposes a new method based neural network. STPI controller is developed to minimize overshoot, rise time and settling time following sudden parameter changes such as speed, load torque and inertia. Also, this paper is proposed speed control of IPMSM using neural network and estimation of speed using artificial neural network(ANN) controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2002.11a
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• pp.13-19
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• 2002

Design and implementation methodologies on the performance evaluation system of two-channel ring-core Flux-Gate Compass (FG-Compass) are described, with evaluation procedures and methods based on the polynomial regression models. Performance evaluation system is consists of a step motor driving unit, a bearing transmitting unit and, evaluation programs using polynomial regression formulae. Through performance evaluation tests, total residual deviation tests, total residual deviation of $\pm$4$^{\circ}$ and eigen residual deviation of $\pm$2$^{\circ}$ are obtained from the FG-Compass. The result is more accurate values than the typical FG-Compass with eigen residual deviation of $\pm$4$^{\circ}$ and is provide a possibility to develop a high performance FG-Compass. In addition, the design methodology of a smart FG-Compass with the self estimation and correction of residual deviations is also discussed.

• Journal of the Society of Naval Architects of Korea
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• v.33 no.1
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• pp.65-76
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• 1996

A screw propeller is usually accepted as a propulsor of many kinds of ships. However, for high speed vessels, screw propeller has large cavitation area on the blades so propeller efficiency is decreased and erosion can be happened. To avoid this problem, supercavitating propeller and waterjet are generally used for high speed vessels. In this paper, we introduced the self-propulsion test procedure which has been developed for high speed vessels in Hyundai Maritime Research Institute. The model ship used in experiment represents catamaran about 5.3 m in length. To minimize the experimental errors, two impellers were driven by a single motor. Thrust was calculated by converting the measured pressure to flow rates at the nozzle exit. The test procedure is composed of resistance test, self propulsion test and analysis. In order to measure the pressure, pressure tabs were installed around the nozzle exit and connected to the pressure sensor by vinyl tube.