• 대한정형도수물리치료학회지
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• 제18권2호
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• pp.77-85
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• 2012

Background: This study has conducted an experiment on 14 disabled hemiplegia (female) introduced from D rehabilitation welfare center, sorted out subjects who will enthusiastically and sincerely follow the experiment for 8 weeks (before-after), and grouped them into control group (7 people), and aquatic exercise program group (7 people). After researching the effect of application of exercise program to hemiplegia on physical function and length of lower limb, we have come to the following conclusion. In case of hemiplegia, we have concluded that aquatic exercise program can aid muscle strengthening and lower limb since aquatic exercise program activates physical function and deep muscle, showing a positive influence on muscular strength and flexibility, and a significant influence on balance of lower limb. This result is considered to make people recognize the importance of rehabilitation exercise when making a program for daily life activity, injury prevention, and treatment for hemiplegia, and we believe that such reference will be proposed as a theoretical basis for application of aquatic exercise program to hemiplegia, and further be a great aid to similar studies.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.664-667
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• 2009

There is strong demand to create wearable PC systems that can support the user outdoors. When we are outdoors, our movement makes it impossible to use traditional input devices such as keyboards and mice. We propose a hand gesture interface based on image processing to operate wearable PCs. The semi-transparent PC screen is displayed on the head mount display (HMD), and the user makes hand gestures to select icons on the screen. The user's hand is extracted from the images captured by a color camera mounted above the HMD. Since skin color can vary widely due to outdoor lighting effects, a key problem is accurately discrimination the hand from the background. The proposed method does not assume any fixed skin color space. First, the image is divided into blocks and blocks with similar average color are linked. Contiguous regions are then subjected to hand recognition. Blocks on the edges of the hand region are subdivided for more accurate finger discrimination. A change in hand shape is recognized as hand movement. Our current input interface associates a hand grasp with a mouse click. Tests on a prototype system confirm that the proposed method recognizes hand gestures accurately at high speed. We intend to develop a wider range of recognizable gestures.

• Journal of Information Processing Systems
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• 제10권3호
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• pp.443-458
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• 2014

An extreme learning machine (ELM) is a recently proposed learning algorithm for a single-layer feed forward neural network. In this paper we studied the ensemble of ELM by using a bagging algorithm for facial expression recognition (FER). Facial expression analysis is widely used in the behavior interpretation of emotions, for cognitive science, and social interactions. This paper presents a method for FER based on the histogram of orientation gradient (HOG) features using an ELM ensemble. First, the HOG features were extracted from the face image by dividing it into a number of small cells. A bagging algorithm was then used to construct many different bags of training data and each of them was trained by using separate ELMs. To recognize the expression of the input face image, HOG features were fed to each trained ELM and the results were combined by using a majority voting scheme. The ELM ensemble using bagging improves the generalized capability of the network significantly. The two available datasets (JAFFE and CK+) of facial expressions were used to evaluate the performance of the proposed classification system. Even the performance of individual ELM was smaller and the ELM ensemble using a bagging algorithm improved the recognition performance significantly.

• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.19-28
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• 2005

웹 기반 교수-학습 시스템은 학습자 중심의 학습 환경으로 지속적인 변화를 지향해왔으며, 특히 자기 주도적이고 적극적인 학습 형태인 자기조절 학습은 이상적인 학습 형태로서 이에 대한 관심이 증가하고 있다. 본 연구에서는 학습자가 시스템과의 계약과정을 거쳐 자신의 요구와 학습 수준에 따른 개인화된 코스웨어를 구성할 수 있다. 시스템에서 분석된 결과를 통해 자신의 학습 진행과 결과를 인지하고, 학습전략을 수립하여 효과적으로 학습목표에 도달할 수 있는 자기조절 학습 시스템을 설계 구현하였다. 제안된 시스템은 학습자에게 개인의 특성을 고려한 차별화되고 유연성 있는 개인화된 학습 서비스를 자기 주도적으로 진행할 수 있는 학습자 위주의 학습 환경을 제공한다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.270-278
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• 2000

A machine vision system using charge coupled device(CCD) camera for the weed detection in a radish farm was developed. Shape features were analyzed with the binary images obtained from color images of radish and weeds. Aspect, Elongation and PTB were selected as significant variables for discriminant models using the STEPDISC option. The selected variables were used in the DISCRIM procedure to compute a discriminant function for classifying images into one of the two classes. Using discriminant analysis, the successful recognition rate was 92% for radish and 98% for weeds. To recognize radish and weeds more effectively than the discriminant analysis, an artificial neural network(ANN) was used. The developed ANN model distinguished the radish from the weeds with 100%. The performance of ANNs was improved to prevent overfitting and to generalize well using a regularization method. The successful recognition rate in the farms was 93.3% for radish and 93.8% for weeds. As a whole, the machine vision system using CCD camera with the artificial neural network was useful to detect weeds in the radish farms.

• Management Science and Financial Engineering
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• 제11권3호
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• pp.95-107
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• 2005

As online shopping malls have emerged as a substantial shopping channel, they have used various sales promotion strategies to acquire new customers. Most of these strategies have been applied by offline malls for years. One, loss-leader pricing, is a type of promotional pricing in which stores sell well known products below their marginal cost, in order to attract customers and induce them to purchase more goods through impulse buying. This strategy is based on the expectation that customers will factor transaction costs into their purchasing decisions. However, its application to online malls fails to recognize that transaction costs are lower online, and that customers will behave differently as a result. Our study predicts that loss-leader pricing will not work online because online malls entail lower searching and moving costs than offline malls The study examines the effectiveness of loss-leader pricing with empirical data from a survey as well as log data from a Korean online shopping mall. The results show that while loss-leader pricing does attract customers to online shopping malls, it encourages cherry-picking rather than impulse purchases of regular-price goods.

• 로봇학회논문지
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• 제11권4호
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• pp.205-216
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• 2016

The localization of the robot is one of the most important factors of navigating mobile robots. The use of featured information of landmarks is one approach to estimate the location of the robot. This approach can be classified into two categories: the natural-landmark-based and artificial-landmark-based approach. Natural landmarks are suitable for any environment, but they may not be sufficient for localization in the less featured or dynamic environment. On the other hand, artificial landmarks may generate shaded areas due to space constraints. In order to improve these disadvantages, this paper presents a novel development of the localization system by using artificial and natural-landmarks-based approach on a topological map. The proposed localization system can recognize far or near landmarks without any distortion by using landmark tracking system based on top-view image transform. The camera is rotated by distance of landmark. The experiment shows a result of performing position recognition without shading section by applying the proposed system with a small number of artificial landmarks in the mobile robot.

• 로봇학회논문지
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• 제13권1호
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• pp.72-78
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• 2018

This paper proposes a Dual Controller System for Precision Control (DCSPC) for control of the gripper. The DCSPC consists of two subsystems, CDSP (Controller based DSP) and CARM (Controller based ARM processor). The CDSP is developed on a DSP processor and controls the gripping motor and LVDT. In particular, the CARM is implemented using Linux and ARM processor according to recent research related to open-source. The robot for high-precision assembly is divided into the robot control and the gripper control section and controls CARM and CDSP systems respectively. In this paper, we also proposed and measured the performance of communication API. As a result, it is expected to recognize improvements in communication between CARM and the robot controller, and will continue to conduct relevant research among other commercial robot controllers.

• 대한수학교육학회지:학교수학
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• 제11권1호
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• pp.71-91
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• 2009

본 논문은 기본적인 계산능력이 뛰어난 초등학교 6학년 학생 2명을 대상으로 분수 나눗셈 문제를 해결하는 과정에서 나타나는 연산 감각을 분석하였다. 구체적으로 학생들이 분수 나눗셈의 다양한 의미와 모델을 어떻게 이해하고 있는지, 분수 나눗셈 알고리듬의 의미를 어떻게 이해하고 있는지, 그리고 이러한 연산의 의미와 성질을 어떻게 응용하는지에 대해 임상 면담을 통해 면밀하게 탐색하였다. 구체적인 에피소드를 바탕으로 연산감각의 구성요소별로 두 학생의 질적 차이를 분석하고, 이를 기초로 하여 초등학교 고학년에서 연산 감각 자체를 보다 집중적으로 조명해 볼 필요가 있다는 점을 강조하였다.

• 패션비즈니스
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• 제15권3호
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• pp.125-141
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• 2011

This paper is to focus the financial ratio analysis of the Korean textile and apparel companies due to fast changing domestic industry. Financial ratios are playing a pivotal role in management analysis to assess the present conditions to predict the future. Subjects are belonging to textile and apparel manufacturers based on Firm Classification Standard while registered as securities listed-firms or Kosdaq-listed firms under the Electronic Notification System of Korean Banking Supervisory Authority. 41 companies' data have been analyzed including 17 apparel companies and 24 textile companies. 14 representative financial ratios are analyzed. In this paper, financial ratios can be classified into four categories as follows: stability ratios, profitability ratios, growth ratios and activity ratios. The independent t-test was performed using SPSS 18 for a 10 year simple arithmetic average. The following conclusion has reached regarding aspects of management conditions and performances. When compared the ratios indicating stability, textile and apparel companies did not show much difference in debt ratio and the ratio of earning to interests. However, when compared the profitability ratios measuring the ability to produce incomes, apparel companies showed higher ratios than textile companies. Thus it is important to recognize financial characteristics of each industry.