• Maxillofacial Plastic and Reconstructive Surgery
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• v.16 no.1
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• pp.12-20
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• 1994

Generally, the totally paralyzed face can never be made normal by any of the current methods of reconstruction. Careful selection of patients based on sound judgment of what can and cannot be achieved by the proposed surgical technique is paramount to a successful operation and a satisfied patient. The results are related to time of delayed between injury and repair ; the shorter the delay the better are the results. The objectives in correcting facial paralysis are to achieve normal appearance at rest ; symmetry with voluntary motion ; control of the ocular, oral, and nasal sphincter ; symmetry with involuntary emotion and controlled balance when expressing when expressing emotion ; and no significant functional deficit secondary to the reconstructive surgery. It must be employed a number of concepts, for treatment of the paralyzed face by surgeon, depending on the cause, time interval, and wound characteristics, as well as the availability of and necessity for neuromuscular substitution. Nerve grafts, crossovers, muscle transfers, free muscle and nerve-muscle grafts, micronuerovascular muscle transfers, and regional muscle transposition are the principal methods being developed. We applied the temporal musle transposition for reanimation of unilatrally paralyzed faces for long times on two patients. The results of muscle transposition can be enhanced by the patient's learning to activate the transposed muscle by voluntary effort, and are best in patients who are motivated to learn the necessary motor-sensory coordination techniques.

• 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 the Korean Society of Physical Medicine
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• v.5 no.3
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• pp.405-412
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• 2010

Purpose : The purpose of this study was to assess the effects of the trunk muscle activity on bridging exercise according to the knee joint angle. Methods : Twenty-five healthy adults volunteered to participate in this study. Subjects were required to complete following four bridging exercises; knee joint flexion $120^{\circ}$, $90^{\circ}$, $60^{\circ}$, $45^{\circ}$. Surface electromyography from selected trunk muscles was normalized to maximum voluntary isometric contraction. Muscle activity was measured by QEMG-4 system(LXM 3204, Laxtha Korea). A repeated measures of one-way ANOVA with post-hoc Bonferroni's correction was used to determine the influence of bridging exercise on muscle activity for each muscle and descriptive statistics was used to determine local/global muscle ratio. Results : The internal oblique of bridging exercises $120^{\circ}$, $90^{\circ}$ showed significantly(p<.05). The erctor spinae of all bridging exercises showed significant excepted between $60^{\circ}$ and $45^{\circ}$(p<.05). Median of internal oblique/rectus abdominis ratio of $120^{\circ}$ was 4.41, $90^{\circ}$ was 3.94, $60^{\circ}$ was 3.58, $45^{\circ}$ was 3.39. Median of internal oblique/external oblique ratio of $120^{\circ}$ was 2.66, $90^{\circ}$ was 2.43, $60^{\circ}$ was 2.87, $45^{\circ}$ was 2.64. Conclusion : Angular motion decreasing with knee joint flexion made erector spinae activation increase. on the other hand, as decreasing abdomen muscle activation, the more performing motor learning is required for abdomen muscle strength and co-contraction for the trunk stabilization.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.1
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• pp.121-129
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• 2017

PURPOSE: This study was conducted to determine the effect of dual-task training (based on the International Classification of Functioning, Disability, and Health; ICF) on walking ability and self-efficacy in individuals with chronic stroke. METHODS: 22 chronic stroke patients participated in this study. Participants were randomly allocated into either the single-task group (n=11) or the dual-task group (n=11). Both groups had physical training three a week for 4 weeks, and at a three-week follow-up. Outcome measures included the 10m walking test (10MWT), figure of 8 walk test (F8WT), dynamic gait index (DGI), and Self-efficacy scale. All data were analyzed using SPSS 18.0 for Windows. Between-group and within-group comparison were analyzed by using the Mann-Whitney U test and Wilcoxon singed-rank test respectively. RESULTS: In the dual-task group, the 10MWT, time and steps of F8WT, DGI, and self-efficacy showed significant differences between pre- and post-test (p<.05). The Changes between the pre- and post-test values of 10MWT (p<.05), DGI (p<.05), and self-efficacy scale (p<.05) showed significant differences between the dual-task group and single-task group. CONCLUSION: Participants reported improved walking ability and self-efficacy, suggesting that dual-task training holds promise in the rehabilitation of walking in chronic stroke patients. This study showed that ICF-based on a dual-task protocol contiributes to motor learning after chronic stroke.

• The Korean Journal of Physiology and Pharmacology
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• v.9 no.5
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• pp.263-268
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• 2005

Striatum has important roles in motor control, habitual learning and memory. It receives glutamatergic inputs from neocortex and thalamus, and dopaminergic inputs from substantia nigra. We examined effects of dopamine (DA) on the corticostriatal synaptic transmission using in vitro extracellular recording technique in rat brain corticostriatal slices. Synaptic responses were elicited by stimulation of cortical glutamatergic inputs on the corpus callosum and recorded in the dorsal striatum. Corticostriatal population spike (PS) amplitudes were decreased ($39.4{\pm}7.9$%) by the application of $100{\mu}M$ DA. We applied receptor subtype specific agonists and antagonists and characterized the modulation of corticostriatal synaptic transmission by different DA receptor subtypes. $D_2$ receptor agonist (quinpirole), antagonist (sulpiride), and $D_1$ receptor antagonist (SKF 83566), but not $D_1$ receptor agonist (SKF 38393), induced significantly the reduction of striatal PS. Pretreatment neither with SKF 83566 nor sulpiride significantly affected corticostriatal synaptic inhibition by DA. However, the inhibition of DA was completely blocked by pretreatment with mixed solution of both SKF 83566 and sulpiride. These results suggest that DA inhibits corticostriatal synaptic transmission through both $D_1$ and $D_2$ receptors in concert with each other.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.8
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• pp.57-66
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• 2009

The conventional fixed gain PI controller is very sensitive to step change of command speed, parameter variation and load disturbances. The precise speed control of interior permanent magnet synchronous motor(IPMSM) drive becomes a complex issue due to nonlinear coupling among its winding currents and the rotor speed as well as the nonlinear electromagnetic developed torque. Therefore, there exists a need to tune the PI controller parameters on-line to ensure optimum drive performance over a wide range of operating conditions. This paper proposes hybrid intelligent-PI(HIPI) controller of IPMSM drive using adaptive learning mechanism(ALM) and fuzzy neural network(FNN). The proposed controller is developed to ensure accurate speed control of IPMSM drive under system disturbances and estimation of speed using artificial neural network(ANN) controller. The PI controller parameters are optimized by ALM-FNN at all possible operating condition in a closed loop vector control scheme, The validity of the proposed controller is verified by results at different dynamic operating conditions.

• The Journal of Korean Physical Therapy
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• v.15 no.4
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• pp.199-207
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• 2003

This review describes the neurophathological mechanisms that are implicated in perinatal brain injury. Perinatal brain injury is the most important cause of morbidity and mortality to infants, often leading to spastic motor deficits, mental retardation, seizures, and learning impairments. The immature brain injury is usually caused by cerebral hypoxia-ischemia, hemorrhage, or infection. The important form of perinatal brain injury is the hypoxic-ischemic injury and the cerebral hemorrhage. The pathology of hypoxic-ischemic injury include delayed energy failure by mitochondrial dysfunction, neuronal excitotoxicity and vulnerability of white matter in developing brain. The immature brain has the fragile vascular bed of germinal matrix and can not effectively centralize their circulation. Therefore, the cerebral hemorrhage process is considered to be involved in the periventricular leukomalacia.

• Transactions of Materials Processing
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• v.29 no.5
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• pp.241-250
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• 2020

In this study, the methodology of the springback prediction of automotive parts applied 3rd generation AHSS was investigated using the response surface model analysis based on a regression model, and the meta model analysis based on a Kriging model. To design the learning data set for constructing the springback prediction models, and the experimental design was conducted at three levels for each processing variable using the definitive screening designs method. The hat-shaped member, which is the basic shape of the member parts, was selected and the springback values were measured for each processing type and processing variable using the finite element analysis. When the nonlinearity of the variables is small during the hat-shaped member forming, the response surface model and the meta model can provide the same processing parameter. However, the accuracy of the springback prediction of the meta model is better than the response surface model. Even in the case of the simple shape parts forming, the springback prediction accuracy of the meta model is better than that of the response surface model, when more variables are considered and the nonlinearity effect of the variables is large. The efficient global optimization algorithm-based Kriging is appropriate in resolving the high computational complexity optimization problems such as developing automotive parts.

• PNF and Movement
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• v.16 no.1
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• pp.27-32
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• 2018

Purpose: This study examined changes in gait speed and stride length after an intervention involving simultaneous scapular and pelvic patterns of proprioceptive neuromuscular facilitation in a hemiplegic patient. Methods: A 58-year-old woman with left hemiplegia who had complained of slowness of gait speed and weakness of leg strength took part in an intervention involving scapular postdepression patterns on the affected side and pelvic postdepression patterns on the nonaffected side. The intervention was performed with the patient lying on her left side, in a half kneeling position, and in a standing posture. Rhythmic initiation was used for teaching the movements to the patient and improvement of kinesthesia, and a combination of isotonic was employed for increasing strength and irradiation of the scapula and pelvic movement. The intervention took place for 30 min. It was implemented twice a day, 5 days a week, for 3 weeks. After three repetitions, the average time taken to complete the 10-m walk test (10 MWT), in addition to stride length, was measured to determine gait speed. Results: After the 3-week program, the patient's performance in the 10 MWT improved from 21.7sec to 17.1sec, and her stride length improved from 31.4cm to 38.7cm. Conclusion: The results showed that trunk movement exercise, especially coordinative movements of the scapula and pelvis can improve gait speed and stride length by increasing trunk stability and mobility. A combination of pelvic and scapular patterns can facilitate trunk rotation, thereby improving gait speed and stride length.

• The Journal of Korea Robotics Society
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• v.7 no.3
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• pp.171-181
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• 2012

Outdoor mobile robots are faced with various terrain types having different characteristics. To run safely and carry out the mission, mobile robot should recognize terrain types, physical and geometric characteristics and so on. It is essential to control appropriate motion for each terrain characteristics. One way to determine the terrain types is to use non-contact sensor data such as vision and laser sensor. Another way is to use contact sensor data such as slope of body, vibration and current of motor that are reaction data from the ground to the tire. In this paper, we presented experimental results on terrain classification using contact sensor data. We made a mobile robot for collecting contact sensor data and collected data from four terrains we chose for experimental terrains. Through analysis of the collecting data, we suggested a new method of terrain feature extraction considering physical characteristics and confirmed that the proposed method can classify the four terrains that we chose for experimental terrains. We can also be confirmed that terrain feature extraction method using Fast Fourier Transform (FFT) typically used in previous studies and the proposed method have similar classification performance through back propagation learning algorithm. However, both methods differ in the amount of data including terrain feature information. So we defined an index determined by the amount of terrain feature information and classification error rate. And the index can evaluate classification efficiency. We compared the results of each method through the index. The comparison showed that our method is more efficient than the existing method.