• The Transactions of the Korean Institute of Electrical Engineers
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• v.33 no.10
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• pp.381-386
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• 1984

This paper deals with the microcomputer realization of EMG pattern recognition system which provides identification of motion commands from the EMG signals for the on-line control of a prosthetic arm. A probabilistic model of pattern is formulated in the feature space of integral absolute value(IAV) to describe the relation between a motion command and the location of corresponding pattern. This model enables the derivation of sample density function of a command in the feature space of IAV. Classification is caried out through the multiclass sequential decision process, where the decision rule and the stopping rule of the process are designed by using the simple mathematical formulas defined as the likelihood probability and the decision measure, respectively. Some floating point algorithms such as addition, multiplication, division, square root and exponential function are developed for calculating the probability density functions and the decision measure. Only six primitive motions and one no motion are incorporated in this paper.

• Journal of Biomedical Engineering Research
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• v.14 no.2
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• pp.185-193
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• 1993

In this paper, the peak detection algorithm was developed for the purpose of screening of the target compounds. Algorithm is divided into searching the characteristic ion and peak detection. The heuristic knowledge about analytical chemistry was applied for the searching the characteristic ion. Peak detection was accomplished in comparison with the peak identification strings and pattern strings around the retention time. Pattern strings are composed with the number which generated by pattern identification function. The variables of pattern identification function are the codes which represent the difference of two adjacent abundances Some of the free steroids were selected to demonstrate the proposed algorithm.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.46 no.1
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• pp.36-40
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• 2020

Objectives: The aim of this study was to evaluate pulmonary function in patients with mandibular fractures and to determine the pattern of pulmonary functions in these patients. Materials and Methods: This was a cross-sectional study of pulmonary functions in Nigerian non-smoking patients with isolated mandibular fractures managed at our health institution from December 2015 to June 2017. Forced vital capacity (FVC), forced expiratory volume in one second (FEV₁), peak expiratory flow rate (PEFR), and ratio of FEV₁ to FVC (FEV₁/FVC) were measured for all participants using a portable spirometer just before treatment. The pulmonary indices were compared with the predicted reference values for Nigerians to determine the respiratory pattern. Results: Forty participants consisting of six females (15.0%) and thirty-four males (85.0%) with a female to male ratio of 1:5.7 were included in this study. The mean patient age was 34.5±13.1 years (range, 17-63 years). The mean FVC, FEV₁, FEV₁/FVC, and PEFR were 3.8±1.2 L, 3.0±1.0 L, 74.3%±13.8%, and 5.2±2.2 L/s, respectively. Comparison of data with predicted values revealed that 17 subjects (42.5%) had normal pulmonary function pattern while 23 subjects (57.5%) had features suggestive of obstructive and restrictive pulmonary function patterns. Conclusion: Isolated mandibular fractures presented with abnormal pulmonary function pattern.

• PNF and Movement
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• v.15 no.3
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• pp.237-246
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• 2017

Purpose: The purpose of this study was to investigate the effects of forward-and-backward shift trunk exercise using a proprioceptive neuromuscular facilitation (PNF) diagonal pattern in a closed kinematic chain exercise on the upper limb function and activity of daily living (ADL) in a stroke patient. Methods: One subject participated in this study. The study used a reversal A-B-A' design, where A and A' were the baseline period (no intervention), and B was the intervention period. The intervention was a forward-and-backward trunk shift exercise, using a PNF diagonal pattern on both a stand-on-hand position and a quadruped position of closed kinematic chain exercises, for 20 min per day for 2 weeks. The range of motion (ROM) of the shoulder joint was measured and a Fugl-Meyer assessment of upper extremity (FMA-UE) and a functional independence measure (FIM) were performed to measure upper limb function and activity of daily living (ADL). Results: ROMs of shoulder joint (flexion, extension, abduction, and external rotation) increased in the intervention phase. The FMA-UE score increased (from 28 to 36) in the intervention phase. The FIM score increased (from 20 to 25) in the intervention phase. These increases were maintained after intervention (Baseline II). Conclusion: These results suggest that forward-and-backward shift trunk exercises using a PNF diagonal pattern in a closed kinematic chain exercise have a positive effect on stroke patients' upper limb function and ADL ability.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.4
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• pp.544-553
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• 2013

In this paper, we propose the pattern classifier of Radial Basis Function Neural Networks(RBFNNs) for diagnosis of 3-phase partial discharge. Conventional methods map the partial discharge/noise data on 3-PARD map, and decide whether the partial discharge occurs or not from 3-phase or neutral point. However, it is decided based on his own subjective knowledge of skilled experter. In order to solve these problems, the mapping of data as well as the classification of phases are considered by using the general 3-PARD map and PA method, and the identification of phases occurring partial discharge/noise discharge is done. In the sequel, the type of partial discharge occurring on arbitrary random phase is classified and identified by fuzzy clustering-based polynomial Radial Basis Function Neural Networks(RBFNN) classifier. And by identifying the learning rate, momentum coefficient, and fuzzification coefficient of FCM fuzzy clustering with the aid of PSO algorithm, the RBFNN classifier is optimized. The virtual simulated data and the experimental data acquired from practical field are used for performance estimation of 3-phase partial discharge pattern classifier.

• The Korean Journal of Nuclear Medicine
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• v.8 no.1_2
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• pp.13-24
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• 1974

The patterns of renogram in patients with Korean hemorrhagic fever were evaluated with clinical course and renal hemodynamic changes in various clinical stages. The renal plasma flow was measured by hippuran blood clearance using $^{131}I$-ortho-iodohippurate and hippuran renogram was analysed by means of quantitative and qualitative methods in 26 patients of Korean hemorr hagic fever. The results obtained with this study were as follows; 1. During the oliguric phase of Korean hemorrhagic fever, the renogram showed non-functioning (flat) or obstructive pattern. The group of patients with non-functioning pattern of renogram had more severe impairement of renal function and grave prognosis than the group with obstructive pattern of renogram. 2. During the diuretic phase, the renogram showed obstructive or dysfunction or normal pattern, which was related with the recovery of renal function. Obstruction pattern of renogram was observed till the 2nd week of diuretic phase. Normal pattern of renogram began to appear by the 2nd week of diuretic phase. 3. During the convalescent phase of Korean hemorrhagic fever, 40% of patients showed dysfunnction pattern of renogram, and the recovery of abnormal renogram in Korean hemorrhagic fever was more delayed than the recovery of clinical features and laboratory findings. 4. The renogram showed normal pattern 6 months after onset of Korean hemorrhagic fever in all cases. 5. There was significant correlationship between the pattern of renogram and the decreace of renal plasma flow in the patients with Korean hemorrhagic fever. The decreace of renal plasma flow was maked in the patients with non-functioning pattern of renogram and was least in the patients with dysfunction pattern of renogram. All above results suggested that the renogram reflects the effective renal plasma flow and degree of renal impairement, and the renogram may be one of the important indexes which could give us a more precise prognosis in Korean hemorrhagic fever.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.646-650
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• 2014

In this paper, in order to avoid the deterioration of the pattern classification performance which results from the curse of dimensionality, we propose a new feature selection method. The newly proposed feature selection method is based on Fuzzy C-Means clustering algorithm which analyzes the data points to divide them into several clusters and the concept of a function with fuzzy numbers. When it comes to the concept of a function where independent variables are fuzzy numbers and a dependent variable is a label of class, a fuzzy number should be related to the only one class label. Therefore, a good feature is a independent variable of a function with fuzzy numbers. Under this assumption, we calculate the goodness of each feature to pattern classification problem. Finally, in order to evaluate the classification ability of the proposed pattern classifier, the machine learning data sets are used.

• Bulletin of the Korean Mathematical Society
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• v.53 no.5
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• pp.1327-1339
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• 2016

Self-organizing systems arise very naturally in artificial intelligence, and in physical, biological and social sciences. In this paper, we modify the classic Cucker-Smale model at both microscopic and macroscopic levels by taking the target motion pattern driving forces into consideration. Such target motion pattern driving force functions are properly defined for the line-shaped motion pattern and the ball-shaped motion pattern. For the modified Cucker-Smale model with the prescribed line-shaped motion pattern, we have analytically shown that there is a flocking pattern with an asymptotic flocking velocity. This is illustrated by numerical simulations using both symmetric and non-symmetric pairwise influence functions. For the modified Cucker-Smale model with the prescribed ball-shaped motion pattern, our simulations suggest that the solution also converges to the prescribed motion pattern.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.87-90
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• 2003

본 논문에서는 정현파를 이용한 spread-spectrum watermarking 에서 비가청성을 높이기 위한 방법과 효율적인 threshold 설정 방법을 제안한다. 제안하는 방법에서는 spread-spectrum 기법을 사용할 때 계산량이 많이 요구되는 심리음향모델 계산을 피하면서도 가청잡음을 줄이기 위한 방법을 제시한다. 또한 outlier 를 이용하여 워터마크 검출에서 적절한 threshold 설정방법을 제안한다.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.5
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• pp.553-562
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• 2013

This study was performed to develop cold-heat and deficiency-excess pattern identification for dementia, as well as for standard Korean medicine diagnosis and treatment. Five experts comprised of 4 neuropsychiatrists of Korean medicine and 1 statistician to develop cold-heat and deficiency-excess pattern identification for dementia. We searched studies about pattern identification and selected 507 articles using Oasis search terms provided by the KIOM. As a result, 10 pattern identification research study were recruited. Moreover, we analyzed neuropsychological assessments for dementia that evaluate Behavioral and Psychological Symptoms of Dementia (BPSD) and cognitive function using experts conferences and we selected neuropsychological instruments using pattern identification. Six cold patterns, six heat patterns, ten deficiency patterns, and four excess patterns were identified according to the cold-heat and deficiency-excess pattern identification of dementia. We selected the Caregiver-Administered Neuropsychiatric Inventory and the Korean Mini-Mental State Examination as neuropsychological assessments of dementia, which examine behavioral symptoms and cognitive function, suspectively. We formed positive and negative correlation between Korean medicine pattern identification and neuropsychological assessments for dementia. We developed and suggested a forecast module of pattern identification for dementia. But, it is necessary to perform additional clinical trials to verify its validity and accuracy.