• Physical Therapy Korea
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• v.10 no.1
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• pp.29-35
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• 2003

Body weight support treadmill training is a new and promising therapy in gait rehabilitation of patients with hemiplegia. The purpose of this study was to identify the effects of body weight support treadmill training on gait and standing balance in patients with hemiplegia. Eighteen patients with hemiplegia participated in the study. A 10 m-timed walk test, measurements of step length and standing balance score were administered. Intervention consisted of body weight support treadmill training five times a week for 2 weeks. The data were analyzed by paired t-test. Body weight support treadmill training scoring of standing balance, step length and 10 m-timed walk test showed a definite improvement. Body weight support treadmill training offers the advantages of task-oriented training with numerous repetitions of a supervised gait pattern. The outcomes suggest that patients with hemiplegia can improve their gait ability and standing balance through body weight support treadmill training.

• Fashion & Textile Research Journal
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• v.8 no.2
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• pp.196-202
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• 2006

In this study the swimwear pattern focused on a typical middle-aged women's body was developed and discussed. To determine the characteristics of a typical middle-aged women's body, their actual bust were cast. According to a generated flattened body surface shell, the right side of pattern was designed considering stretching ratio of swimwear materials as shown in the figure 3. Special features of the developed swimwear pattern are a bust dart, a particularly designed lining, a power-net, and a brassiere-cup. Against a commercial swimwear pattern, the darts were applied to bust area considering its volume. The lining was attached on the entire right side except brassiere part, and power-net was added twice on belly and hip part. As a result, silhouette and body shape were improved. The new brassiere-cup was designed and made to satisfy the middle-aged women's demand about their bust volume. Swimwear fitting test was performed, and it was evaluated. The developed swimwear rated activity, body support, entire silhouette, pressure, comfortable fitting, suitability with body figure, nudity higher by comparison with a commercial swimwear, as shown in the Table 6. Specially the developed swimwear satisfied future customers about a bust, a hip, a waist, a belly area, which the middle-aged women are not confident. Reducing exposure of an armhole and upper leg area, it also satisfied them. New developed swimwear pattern will provide useful reference to swimwear businesses targeting middle-aged women.

• Journal of Families and Better Life
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• v.29 no.5
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• pp.107-119
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• 2011

The main purpose of this study was to examine the relationships among Mother's Conversation Patterns, Maternal Emotional Support, and Children's self-esteem and motivation to achieve. The subjects of the study were 262 children's in the 5th and 6th grades at an elementary school in Seoul and Gyeonggi. The major results of this study are as follows: The achievement motivation of female children was higher than that of male children. Second, the mother's conversation patterns, maternal emotional support and children's self-esteem were related to the children's achievement motivation. Third, according to the results of an examination of the relative influence of the variables, the child's self-esteem and mother's open communication had an effect on the child's achievement motivation. This high level of self-esteem and motivation to act positively led to high achievement motivation.

• Korean Journal of Remote Sensing
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• v.30 no.4
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• pp.537-546
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• 2014

In this paper, we propose a method to detect interesting objects in inaccessible areas using high resolution satellite images. We define the interesting objects as a set of objects which have conceptually similar image patterns, not having exact sizes or shapes. In this paper, we developed a learning and classifier of Support Vector Machine (SVM) that extracts characteristic data for inputted images using Histogram of Gradients (HOG) feature and detects similar objects in other images using the characteristic data. As automatic search of interesting objects in our proposed method, we identify that our method provides reduced time and efforts for manual searching similar objects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.2
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• pp.104-111
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• 2008

A process mining is considered to support the discovery of business process for unstructured process model, and a process mining algorithm by using the associated rule and sequence pattern of data mining is developed to extract information about processes from event-log, and to discover process of alternative, concurrent and hidden activities. Some numerical examples are presented to show the effectiveness and efficiency of the algorithm.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.9 no.4
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• pp.319-329
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• 2015

The purpose of this paper is to analyze lower extremities pattern of daily activities and walking on the treadmill with passive body support system. The experiments will be used for basic research of developing active harness system. The experimental procedure has been validated on 5 healthy male subjects and we measured foot pressure and 8 section of lower limb muscles activities. The EMG results of ADL indicate that there have specific muscle activity patterns followed by each activities. The vastus lateralis muscle activities were highly seems on the activities that requires flection and extension of knee joint. The foot pressure value of stair descent activity was the highest due to the fact that it is come down to the direction of gravity. The results with the passive body weight support percentages show that the EMG and foot pressure values were declined according to increasement of the body weight support percentages. Therefore the body weight support system could apply gait rehabilitation system for various patients by changing the percentages of the body weight support.

• 한국노년학
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• v.32 no.3
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• pp.895-912
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• 2012

The authors aimed to identify the patterns of mutual support between aged parents and their adult offsprings and to analyze the demographic and social characteristics of each pattern and the quality of living for the aged parents. The data of the study were drawn from the 2008 Survey of the Living Conditions and Welfare for the Elderly published by the Ministry of the Health and Welfare. The sample of our analysis was 14,843 aged persons with their adult offsprings. A cluster analysis produced four types of mutual support patterns: High mutual supporters, parents as beneficiaries, parents as benefactors, ans low mutual supporters, with parents as benefactors as the most frequent pattern of mutual support. The study showed that the group of high mutual supporters was highest in the quality of life while the group of parents as beneficiaries lowest. This findings imply that the support relationship between old people and their adult offsprings may undergo transformation towards a two-way relation of mutual support.

• Communications for Statistical Applications and Methods
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• v.19 no.5
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• pp.655-662
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• 2012

Classification is an important research field in pattern recognition with high-dimensional predictors. The support vector machine(SVM) is a penalized feature selector and classifier. It is based on the hinge loss function, the non-convex penalty function, and the smoothly clipped absolute deviation(SCAD) suggested by Fan and Li (2001). We developed the algorithm for the multiclass SVM with the SCAD penalty function using the local quadratic approximation. For multiclass problems we compared the performance of the SVM with the $L_1$, $L_2$ penalty functions and the developed method.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.507-513
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• 2004

Least-squares support vector machine (LS-SVM) has been very successful in pattern recognition and function estimation problems for crisp data. In this paper, we propose LS-SVM approach to evaluating fuzzy regression model with multiple crisp inputs and a Gaussian fuzzy output. The proposed algorithm here is model-free method in the sense that we do not need assume the underlying model function. Experimental result is then presented which indicate the performance of this algorithm.

• Journal of the Korean Data and Information Science Society
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• v.15 no.2
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• pp.449-455
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• 2004

Support vector machine (SVM) has been very successful in pattern recognition and function estimation problems for crisp data. This paper proposes a new method to evaluate interval regression models for crisp input-output data. The proposed method is based on quadratic loss SVM, which implements quadratic programming approach giving more diverse spread coefficients than a linear programming one. The proposed algorithm here is model-free method in the sense that we do not have to assume the underlying model function. Experimental result is then presented which indicate the performance of this algorithm.