• Journal of Oriental Neuropsychiatry
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• v.26 no.2
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• pp.161-170
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• 2015

Objectives: This study was performed to review the research trends in the treatment of panic disorder in traditional Chinese medicine (TCM). Methods: We searched articles in the China National Knowledge Infrastructure (CNKI) from 2004 to 2014. Search key words were '惊恐' and 'panic disorder', and we selected eight studies except for non-clinical, unrelated studies, tests on animals. Results: We finally selected eight articles, and the results were as follows. CCMD-3 was most frequently used as a diagnostic criterion and HAMA was mostly used for outcome measurement. In TCM there are various ways, such as herbal medicine, acupuncture and psychotherapy, to treat panic disorder. Most of the studies showed effective results. Most of the treatment group reported that they had less side effects than the control group. However, the quality of these clinical studies was low. Conclusions: In TCM, research on panic disorder was being conducted more actively than in Korean medicine. According to this study, it seems that in TCM, the treatment of panic disorder might be more effective and have some advantages. Therefore, with this study, we hope to activate more clinical research on the treatment of panic disorder in Korean medicine.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2000.04a
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• pp.629-634
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• 2000

Generally, the accuracy of motion control systems is strongly influenced by both the mechanical characteristics and servo characteristics of feed drive systems. In the fed drive systems of machine tools that consist of mechanical parts and electrical parts, a torsional vibration is often generated because of its elastic elements in torque transmission. Especially, a torsional vibration caused by the elasticity of mechanical elements might deteriorate the quick movement of system and lead to shorten the life time of the mechanical transmission elements. So it is necessary to analyze the electromechanical system mathematically to optimize the dynamic characteristics of the feed drive system. In this paper, based on the simplifies feed drive system model, radius errors due to position gain mismatch and servo response characteristic have been developed and an optimal criterion for tuning the gain of speed controller is discussed. The proportional and integral parameter gain of the feed drive controller are optimal design variables for the gain tuning of PI speed controller. Through the optimization problem formulation, both proportional and integral parameter are optimally tuned so as to compensate the radius errors by using the genetic algorithm. As a result, higher performance on circular profile tests has been achieved than the one with standard parameters.

• Journal of Oral Medicine and Pain
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• v.17 no.2
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• pp.19-25
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• 1992

The pressure pain thresholds of head and neck muscles of patients suffering from tensiontype headache220, all female, ages ranged from 13 to 50 years (28.4$\pm$9.6) and 39 healthy controls, all female, ages ranged from 14 to 46 years (24.4$\pm$9.2) were recorded by the electronic algometer (Electyronic Algometer Type I, Somedic, Stockholm, Sweden). And the obtained results were as follows : 1. The pressure pain thresholds of patient group were lower than those of controls in superior sternocleidomastoid muscle, middle sternocleidomastoid muscle, and trapezius insertion muscle (P<0.001) 2. The pressure pain thresholds of patient group were not different from those of controls in anterior temporal, middle temporal, posterior temporal, deep masseter, anterior masseter, inferior masseter, medial pterygoid, posterior digastric, splenius capitus and upper trapezius muscle (P>0.05). 3. Seventy-one percent of tension-type headache patients had more than one muscle, of whicb pressure pain threshold was lowered significantly (less than mean of control - 1.5SD). 4. The pressure pain thresholds of head and neck muscles should be considered as a criterion for the diagnosis of tension-type headache.

• The Korea Journal of Herbology
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• v.26 no.1
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• pp.103-110
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• 2011

Objective : For the standardization and quality control of eleutheroside E in Eleutherococcus species, HPLC analysis was performed and eleutherosdie E content was compared in 23 kinds of Eleutherococcus species collected from Korea and China. Methods : The content of eleutheroside E in stem bark of Eleutherococcus species collected from Korea and China were analyzed by HPLC. 0.5% phosphoric acid and acetonitrile was used as mobile solvent. Validation of HPLC analysis method was confirmed by analyzing specificity, linearity, precision and accuracy following ICH guideline. Results : Content of eleutheroside E was determined to be 1.0-1.6% and 0.5-0.8% in Korean and Chinese E. senticosus, respectively. Content of eleutheroside E in E. sessiliflorus was 0.7-1.1% and 0.2-0.4% respectively in Korean and Chinese origin. All calibration curves showed good linear regression. The method showed good precision and accuracy with intra-day and inter-day variations of 0.880-3.442% (RSD) and 0.606-3.328% (RSD), respectively, and average recovery was of 0.141-1.363% (RSD), for the eleutheroside E analyzed. Conclusion : These results might be used to establish a criterion of eleutheroside E in Eleutherococcus species.

• Journal of Korea Multimedia Society
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• v.19 no.4
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• pp.689-705
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• 2016

This paper proposed an realtime total monitoring platform for various kind of multi weather radars to analyze and predict weather phenomenons and prevent meteorological disasters. Our platform is designed to process each weather radar data on each radar site to minimize overloads from conversion and transmission of large volumed radar data, and to set observers up the definitive radar data via public framework server separately. By proposed method, weather radar data having different spatial or temporal resolutions can be automatically synchronized with there own spatio-temporal domains on public GIS platform having only one spatio-temporal criterion. Simulation result shows that our method facilitates the realtime weather monitoring from weather radars having various spatio-temporal resolutions without other data synchronization or assimilation processes. Moreover, since this platform doesn't require some additional computer equipments or high-technical mechanisms it has economic efficiency for it's systemic constructions.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.2
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• pp.310-316
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• 2003

One of the significant subject in the automatic arc welding is to establish control system of the welding parameters for controlling bead geometry as a criterion to evaluate the quality of arc welding. This paper proposes an inference algorithm for bead geometry in CMA Welding using Neuro-Fuzzy algorithm. The characteristic welding parameters are measured by the circuit composed of hall sensor, voltage divider tachometer, etc. and then the bead geometry of each weld pool is calculated and detected by an image processing with CCD camera and a measuring with microscope. The relationships between the characteristic welding parameters and the bead geometry have been arranged empirically. From the result of experiments, membership functions and fuzzy rules are tuned and determined by the learning of neural network, and then the relationship between actual bead geometry and inferred bead geometry are concluded by fuzzy logic controller. In the applied inference system of bead geometry using Neuro-Fuzzy algorithm, the inference error percent is within -5%∼+4% in case of bead width, -10%∼+10% in bead height, -5%∼+6% in bead area, -10%∼+10% in penetration. Use of the Neuro-Fuzzy algorithm allows the CMA Welding system to evaluate the quality in bead geometry in real time as the welding parameters change.

• Journal of Korea Water Resources Association
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• v.33 no.1
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• pp.73-85
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• 2000

A water quality model was developed for small stream at a upland agricultural watershed. A control volume method was employed to digest the severe variability of stream shape, water quality and discharge at small streams. We estimated optimum reaction coefficients and model structure using a random number generation technique. The index of agreement and coefficient of efficiency were introduced for the model calibration criterion. As the result, the reliability of model parameter estimation could be improved. The applicability of model was tested by a set of sampling results at Yongduckchun in Kimhae. The variability of water quality reaction coefficient was explored through the observed data and using the developed model. model.

• Journal of Korean Physical Therapy Science
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• v.23 no.1
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• pp.9-17
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• 2016

Background and Purpose : Effects of smokers's jogging exercises on oxygen uptake, ventilation, heart rate, and vital-capacity of normal adults have not been studied in details on. In this study, people that had completed the established jogging exercises was selected for the study. We could examine the effects of imposed jogging in smokers who might be considered by an experienced physical therapist to be well practiced and proficient in this exercises. Subjects and Methods : A total number of 24 young healthy subjects participated in a randomized crossover controlled study and completed the study. The subjects of this study were divided into jogging and controlled groups which were composed 14 people respectively. The members of exercise group had jogging exercises 50 minutes a day, five times a week, for 5 weeks in same conditions, otherwise controlled group did not. Results : The results of this study were as follows. The jogging group demonstrated significant increases in cardiopulmonary function, vital-capacity and exercise capacity, compared with control group, which demonstrated no change in baseline measurements of 5 weeks. Conclusion : Jogging exercises can increase cardiopulmonary function in people after they have undergone successful PA. These results suggested that it was improved on cardiopulmonary function and lung capacity, since jogging exercise had. The results of this study could be applied for valuable criterion cardiopulmonary function. It is necessary to selects in various groups of the purpose of enhancing confidence in of this research.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.4 s.97
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• pp.205-212
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• 1999

A three dimensional binary parallel robot manipulator uses actuators which have only two stable states and its structure is variable geometry truss. As a result, it has a finite number of states and fault tolerant mechanism because of kinematic redundancy. This kind of robot manipulator has some advantages compared to a traditional one. Feedback control is not required, task repeatability can be very high, and finite state actuators are generally inexpensive. Because the number of states of a binary robot manipulator grows exponentially with the number of actuators it is very difficult to solve and inverse kinematic problem. The goal of this paper is to develop an efficient algorithm to solve an inverse kinematic problem of three dimensional binary parallel robot manipulator using a backbone curve when the number of actuators are too much. We first derive the coordinate transformations associated with a three degree of freedom in-parallel actuated robot manipulator. The backbone curve is generated optimally by considering the maximum roll and pitch angles of the robot manipulator configuration and length of link. Then, the robot manipulator is fitted along the backbone curve with some criterion.

• The Plant Pathology Journal
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• v.28 no.2
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• pp.172-184
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• 2012

An infection risk model for Phytophthora blight on chili pepper was developed to estimate the first date of disease occurrence in the field. The model consisted of three parts including estimation of zoosporangium formation, soil water content, and amount of active inoculum in soil. Daily weather data on air temperature, relative humidity and rainfall, and the soil texture data of local areas were used to estimate infection risk level that was quantified as the accumulated amount of active inoculum during the prior three days. Based on the analysis on 190 sets of weather and disease data, it was found that the threshold infection risk of 224 could be an appropriate criterion for determining the primary infection date. The 95% confidence interval for the difference between the estimated date of primary infection and the observed date of first disease occurrence was $8{\pm}3$ days. In the model validation tests, the observed dates of first disease occurrence were within the 95% confidence intervals of the estimated dates in the five out of six cases. The sensitivity analyses suggested that the model was more responsive to temperature and soil texture than relative humidity, rainfall, and transplanting date. The infection risk model could be implemented in practice to control Phytophthora blight in chili pepper fields.