• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.42 no.4
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• pp.174-181
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• 2016

Objectives: This retrospective study aims to evaluate the prevalence of maxillofacial trauma in a developing country, along with its pattern, etiology and management. Data for the present study were collected from the Department of Dentistry, ESIC Medical College and Post Graduate Institute of Medical Sciences and Research, Chennai in India. Materials and Methods: The medical records of patients treated for maxillofacial injuries between May 2014 and November 2015 were retrospectively retrieved and analyzed for prevalence, pattern, etiology, and management of maxillofacial trauma. SPSS software version 16.0 was used for the data analysis. Results: Maxillofacial fractures accounts for 93.3% of total injuries. The mean and standard deviation for the age of the patients were $35.0{\pm}11.8$ years and with a minimum age of 5 years and maximum age of 75 years. Adults from 20 to 40 years age groups were more commonly involved, with a male to female ratio of 3:1. There was a statistically significantly higher proportion of males more commonly involved in accident and injuries (P <0.001). Conclusion: The most common etiology of maxillofacial injury was road traffic accidents (RTA) followed by falls and assaults, the sports injuries seem to be very less. In RTA, motorized two-wheelers (MTW) were the most common cause of incidents. The majority of victims of RTA were young adult males between the ages of 20 to 40 years. The malar bone and maxilla were the most common sites of fracture, followed by the mandible. The right side of the zygomatic complex was the predominant side of MTW injury. The majority of the zygomatic complex fractures were treated by conservative management. Open reduction and internal fixation were performed for indicated fracture patients.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.512-517
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• 2011

In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.774-779
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• 2012

Brain-computer interface based on motor imagery is a system that transforms a subject's intention into a control signal by classifying EEG signals obtained from the imagination of movement of a subject's limbs. For the new paradigm, we do not know which positions are activated or not. A simple approach is to use as many channels as possible. The problem is that using many channels causes other problems. When applying a common spatial pattern (CSP), which is an EEG extraction method, many channels cause an overfit problem, in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest a binary particle swarm optimization with channel impact factor in order to select channels close to the most important channels as channel selection method. This paper examines whether or not channel impact factor can improve accuracy by Support Vector Machine(SVM).

• Journal of Society of Preventive Korean Medicine
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• v.18 no.3
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• pp.81-90
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• 2014

Objective : We performed a clinical study to investigate pattern characteristics in persistent allergic rhinitis depending on Korean Medicine pattern questionnaire items as a pattern identification diagnostic tool. Method : 32 patients with persistent allergic rhinitis were asked to interview with doctor of Korean Medicine and perform the 4 pattern questionnaires(Cold-Heat Pattern, Phlegm Pattern, Yin Deficiency pattern, bloodstasis pattern). Then, we analyzed the response rate of each pattern questionnaires. Results : After diagnosis of Korean Medicine Doctor's pattern identification, 17 individual items have higher response rate, 7 of 17 items have a common tendency in allergic rhinitis. The other 8 of 10 items belong to Lung qi deficiency cold and Lung-spleen qi deficiency group, these have higher tendency of deficiency. In bloodstasis pattern questionnaires, we don't decide the tendency of patients with allergic rhinitis. Conclusion : The result may provide that we don't use Korean Medicine pattern questionnaires as a major tool in the pattern identification of allergic rhinitis. Continuous studies are needed to develop the standardized pattern identification diagnostic tool.

• Journal of Power System Engineering
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• v.5 no.3
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• pp.11-16
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• 2001

In the DI diesel engine of passenger cars, common rail injection system have been used to improve the engine performance and reduce the exhaust emission by controlling injection timing, injection pattern, and injection duration. In case that common rail injection system is applied to high speed DI diesel engine, it is necessary to have high response and good repetition characteristics. These characteristics of injector depend on the characteristics of solenoid. Thus, to apply the common rail injection system in the high speed diesel engine, we had designed and made a multi-pole solenoid, and carried out repetition, response test to compare the multi-pole solenoid with the gasoline Injector solenoid. The result shows that repetition and response characteristics of multi-pole solenoid have better characteristics than the gasoline injector solenoid.

• IE interfaces
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• v.5 no.2
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• pp.75-85
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• 1992

A common problem for manufacturing industries, especially consumer goods industries, is how to establish standardized procedures for loading finished goods onto pallets or containers for subsequent storage and distribution. Utilizing previous research results on the palletizing problem, this paper develops micro-computer based programs which generate an optimum loading pattern leading to the minimum amount of unused pallet or container space. Development of pallet layout chart is also included in the computer programs. The results are displayed by computer-graphic. For the users who are unfamiliar with pallet loading problem and computer system, pull-down menu and user-computer interactive data input procedures are adopted.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.293-300
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• 2014

This paper proposes a novel pattern recognition approach based on the radial basis function (RBF) neural network for identifying insulation defects of high-voltage electrical apparatus arising from partial discharge (PD). Pattern recognition of PD is used for identifying defects causing the PD, such as internal discharge, external discharge, corona, etc. This information is vital for estimating the harmfulness of the discharge in the insulation. Since an insulation defect, such as one resulting from PD, would have a corresponding particular pattern, pattern recognition of PD is significant means to discriminate insulation conditions of high-voltage electrical apparatus. To verify the proposed approach, experiments were conducted to demonstrate the field-test PD pattern recognition of cast resin current transformer (CRCT) models. These tests used artificial defects created in order to produce the common PD activities of CRCTs by using feature vectors of field-test PD patterns. The significant features are extracted by using nonlinear principal component analysis (NLPCA) method. The experimental data are found to be in close agreement with the recognized data. The test results show that the proposed approach is efficient and reliable.

• The Journal of Churna Manual Medicine for Spine and Nerves
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• v.14 no.1
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• pp.99-118
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• 2019

Objectives : The purpose of this study was to analyze trends of posture pattern in Korean literature. Methods : We searched four Korean databases (NDSL, RISS, OASIS, and KISTI) and classified the studies according to publication year and the study type. Additionally, we analyzed clinical research papers according to the predominant reported posture pattern, the type of study, assessment for clinical outcomes. Results : In total, 50 published studies were included in our analysis, and we determined the following: By study type, there were 37 interventional studies, 6 observational studies and 7 non-clinical research papers. In the interventional studies, the most common posture pattern was the forward head posture pattern, which was investigated in 22 studies. As a tool for evaluating posture pattern, cervical vertebral angle and the height of the scapula inferior angle are used most. Conclusions : Although this study has provided insight into the commonly investigated posture patterns types in Korean clinical studies, further research is required and future studies should include randomized controlled trials and systematic reviews in their analyses.

• Korean Journal of Human Ecology
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• v.4 no.1
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• pp.75-83
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• 1995

A pregnant woman usually brings on a great change of her body line after the six month pregnant time. In particular, the abdomen is the biggest of all body parts, in the latter of her pregnance, compared with the fact of the bosom is as such for the common body line. Accordingly, we have the 10 main item to design a pregnant woman's proper pattern by the Body Volume Pre-Outline. The pregnent woman's bodice basic pattern of this study is designed loosely for hiding the change of body as the progress of pregnance, in order to be applied to a pregnant woman's pattern design variously.

• The Journal of Korean Physical Therapy
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• v.6 no.1
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• pp.147-153
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• 1994

The purpose of this study were to describe the movement pattern used to rise from supine to erect stance and to evaluate the influence gender might have on the movement patterns used for rising. Fifty males and fifty-three females, mean 14 years of age, performed the rising task while being videotaped. Movement patterns were classified using categorical descriptions of the action of three body regions; the upper extremities, lower extremities, and head-trunk region. The most common pattern of males and females were symmetrical push(upper extremity), symmetrical(head-trunk) and symmetrical squat(lower extremity). In the upper extremity component, a symmetrical reach to push pattern was new category. Eighteen of males and twenty-one of females different movement pattern combinations were observed. Results indicate physical therapists should consider the patient's age and gender.