• Journal of Family Resource Management and Policy Review
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• v.2 no.1
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• pp.15-31
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• 1998

The purpose of study is to understand the home management strategy to cope with rapid changing environments and to verify that how personal value orientation affect home management strategy. The research results are summarized below. First, variables that affect the value orientation of Korean urbanite are sex, area of dwelling, degree of information using and degree of stress recognition in case of material orientation, degree of information using in case of environmental orientation, academic career, sex, degree of information using, degree of stress recognition in cases of fate control orientation, number of children, sex, degree of information using in case of equilibrium orientation, sex, degree of stress recognition in case of present orientation and academic career, degree of stress recognition in case of individualistic orientation. Second, value orientation variables that affect overall home management strategy of Korean urbanite are material orientation, environmental orientation, fate control orientation and individualistic orientation. Third, variables that affect overall home management strategy of Korean urbanite are age, academic career, degree of information using, degree of stress recognition, perception level of living relative to others, environmental orientation and fate control orientation and it is shown that degree of information using is domineering variable.

• Journal of Family Resource Management and Policy Review
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• v.2 no.2
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• pp.1-19
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• 1998

The purpose of study is to understand the home management strategy to cope with rapid changing environments and to verify that how personal value orientation affect home management strategy. The research results are summarized below. First, variables that affect the value orientation of Korean urbanite are sex, area of dwelling, degree of information using and degree of stress recognition in case of material orientation, degree of information using in case of environmental orientation, academic career, sex, degree of information using, degree of stress recognition in cases of fate control orientation, number of children, sex, degree of information using in case of equilibrium orientation, sex, degree of stress recognition in case of present orientation and academic career, degree of stress recognition in case of individualistic orientation. Second, value orientation variables that affect overall home management strategy of Korean urbanite are material orientation, environmental orientation, fate control orientation and individualistic orientation. Third, variables that affect overall home management strategy of Korean urbanite are age, academic career, degree of information using, degree of stress recognition, perception level of living relative to others, environmental orientation and fate control orientation and it is shown that degree of information using is domineering variable.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.517-521
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• 2008

Hand motion classification problem is considered as basis for sign or gesture recognition. We promote optical flow as main feature extracted from images sequences to simultaneously segment the motion's area by its magnitude and characterize the motion' s directions by its orientation. We manage the flow orientation histogram as motion descriptor. A motion is encoded by concatenating the flow orientation histogram from several frames. We utilize simple histogram matching to classify the motion sequences. Attempted experiments show the feasibility of our method for hand motion localization and classification.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.3
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• pp.241-247
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• 2006

We propose a character recognition system to extract the component reference names from printed circuit boards (PCBs) automatically. The names are written in horizontal, vertical, reverse-horizontal and reverse-vertical directions. Also various symbols and figures are included in PCBs. To recognize the character and orientation effectively, we divide the recognizer into two stages: character classification stage and orientation classification stage. The character classification stage consists of two sub-recognizers and a verifier. The rotaion-invarint features of input pattern are then used to identify the character independent of orientation. Each recognizer is implemented as a neural network, and the weight values of verifier are obtained by genetic algorithm. In the orientation classification stage, the input pattern is compared with reference patterns to identify the orientation. Experimental results are presented to verify the usefulness of the proposed system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.308-309
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• 2009

Human vision information processing has many characteristics when image information is transmitted from retina to visual cortex. Among them, we analyze the sensibility of the orientation on an image and compare the recognition rates by the response_weight of the vertical, horizontal and diagonal orientation. In statistics analysis, we show that a particular simple cell responds best to a bar with a vertical orientation. After then, we will apply the characteristics to Human visual system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.3C
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• pp.268-273
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• 2009

Iris recognition is a biometric technology which can identify a person using the iris pattern. It is important for the iris recognition system to extract the feature which is invariant to changes in iris patterns. Those changes can be occurred by the influence of lights, changes in the size of the pupil, and head tilting. In this paper, we propose a novel method based on local gradient orientation histogram which is robust to variations in illumination and rotations of iris patterns. The proposed method enables high-speed feature extraction and feature comparison because it requires no additional processing to obtain the rotation invariance, and shows comparable performance to the well-known previous methods.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.12
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• pp.1027-1038
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• 2005

Object recognition in the field of robotics generally has depended on a computer vision system. Recently, RFID(Radio Frequency IDentification) has been suggested as technology that supports object recognition. This paper, introduces the advanced RFID-based recognition using a novel tag which is named a 3D tag. The 3D tag was designed to facilitate object recognition. The proposed RFID system not only detects the existence of an object, but also estimates the orientation and position of the object. These characteristics allow the robot to reduce considerably its dependence on other sensors for object recognition. In this paper, we analyze the characteristics of the 3D tag-based RFID system. In addition, the estimation methods of position and orientation using the system are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.459-470
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• 1999

The objectives of this study were to investigate the difference the clothing shopping orientation and clothing satisfaction according to satisfaction·dissatisfaction group to examine how the clothing satisfaction was influenced by consumer values demographic variable clothing shopping orientation. The subject were 457 women in Seoul Korea The results of the study were as follows. 1. five factors of clothing shopping orientation (SO) derived by factor analysis : F.1. conspicious SO : F,2 search SO: F,3 recreational SO : F,4 addictive SO :F,5 independent SO . Two factors of terminal value derived by factor analysis : F,1 responsible : F.2 ambitious. 2. Satisfaction group had high levels of search SO, dissatisfaction group had high levels of addictive SO. Satisfaction group was satisfied with color style appropriateness for wearer in order dissatisfaction group was dissatisfied with care price size in order. 3. Conspicious SO were influenced bysocial stratification social recognition and happiness. Search SO were influenced by dwelling area and age. Recreational SO were influenced by social stratification social recognition and responsible value. Addictive SO influenced by responsible value social recognition and happiness. independent SO were influenced by marital status and ambitious value. 4. Clothing satisfaction was influenced by addictive conspicious SO happiness and recreational SO(R2=24.6)

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.7
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• pp.1690-1704
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• 2013

An affine invariant descriptor is proposed, which is able to well represent the affine covariant regions. Estimating main orientation is still problematic in many existing method, such as SIFT (scale invariant feature transform) and SURF (speeded up robust features). Instead of aligning the estimated main orientation, in this paper ellipse orientation is directly used. According to ellipse orientation, affine covariant regions are firstly divided into 4 sub-regions with equal angles. Since affine covariant regions are divided from the ellipse orientation, the divided sub-regions are rotation invariant regardless the rotation, if any, of ellipse. Meanwhile, the affine covariant regions are normalized into a circular region. In the end, the gradients of pixels in the circular region are calculated and the partition-based descriptor is created by using the gradients. Compared with the existing descriptors including MROGH, SIFT, GLOH, PCA-SIFT and spin images, the proposed descriptor demonstrates superior performance according to extensive experiments.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1920-1925
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• 2004

This paper describes a new method for 3D object recognition which used surface segment-based stereo vision. The position and orientation of an objects is identified accurately enabling a robot to pick up, even though the objects are multiple and partially occluded. The stereo vision is used to get the 3D information as 3D sensing, and CAD model with its post processing is used for building models. Matching is initially performed using the model and object features, and calculate roughly the object's position and orientation. Though the fine adjustment step, the accuracy of the position and orientation are improved.