• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.3
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• pp.215-221
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• 2012

In this paper, we introduce an optimization method to improve pursuit performance of a pursuer in a pursuit-evasion game (PEG). Pursuers build a probability map and employ a hybrid pursuit policy which combines the merits of local-max and global-max pursuit policies to search and capture evaders as soon as possible in a 2-dimensional space. We propose an episodic parameter optimization (EPO) algorithm to learn good values for the weighting parameters of a hybrid pursuit policy. The EPO algorithm is performed while many episodes of the PEG are run repeatedly and the reward of each episode is accumulated using reinforcement learning, and the candidate weighting parameter is selected in a way that maximizes the total averaged reward by using the golden section search method. We found the best pursuit policy in various situations which are the different number of evaders and the different size of spaces and analyzed results.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.39 no.2
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• pp.11-21
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• 2002

Although the matching Pursuit is effective for video coding at low bit rate, it has a Problem since it needs much more calculation than the conventional block-based video coding method. The proposed fast matching pursuit method reduces inner product calculation that takes the most part of entire calculation by utilizing the symmetry of the absolute values of the one-dimensional Gator dictionary bases, the modified dictionary which allows faster matching without causing image quality degradation, and a Property of the two-dimensional Gabor dictionary that can be grouped in advance to four classes according to its frequency characteristics. Proposed method needs only about 1/8 of multiplications compared to the well-known separability-based fast method proposed by Neff.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.175-184
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• 2022

This study investigates the impact of COVID-19 anxiety on dietary lifestyle and the effect of different dietary lifestyle on the intention to use drone food delivery services. A questionnaire survey was conducted among 356 Chinese consumers aware of drone food delivery services. Results show that First, COVID-19 anxiety significantly impacted dietary lifestyle, including health pursuit, safety pursuit, and convenience pursuit. Second, the dietary lifestyle of health pursuit, fashion pursuit, and convenience pursuit positively affected service perceptions, including perceived safety and perceived rapidity, perceived compatibility. The dietary lifestyle of taste pursuit positively associated with safety of drone food delivery service, while the dietary lifestyle of safety pursuit positively related to safety and rapidity of drone food delivery services. Third, the perceptions related to security, rapidity, and compatibility of drone food delivery services enhanced service usage intention. Results show that COVID-19 anxiety was positively associated with dietary lifestyle, influencing consumer attitudes toward drone food delivery services.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.169-170
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• 2008

• The Research Journal of the Costume Culture
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• v.6 no.4
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• pp.104-119
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• 1998

The purpose of this research were to classify college women's clothing shopping orientation and analyze the predictable variables of impulse buying. The results of this research were as follows ; 1. Clothing shopping orientation was classified leisure pursuit, economic, careful and name brand preferring shopping. With reference to leisure pursuit and economic shopping, they were classified into four types, low shopping involved shopping type, economic shopping type, leisure pursuit shopping type, and high shopping involved shopping type. The low shopping-involved and the economic shopping types made much of planned buying. The planned impulse buying, reminder impulse buying, fashion oriented impulse buying and pure impulse buying were highly evaluated in the high-involved and the leisure pursuit shopping types. 3. The high shopping-involved and leisure pursuit shopping types were more likely to do impulse buying than low shopping-involved and the economic shopping types. 4. The most important factor for the four groups was design. Quality, color, utility were followed by design. 5. Impulse buying behaviors of four groups could be predicted by the information source and the marketing stimulus buying.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.230-234
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• 1997

The matching pursuit (MP) algorithm developed by S. Mallat and Z. Zhang is applied to magnetic resonance (MR) imaging. Since matching pursuit is a greedy algorithm to find waveforms which are the best match for an object-signal, the signal can be decomposed with a few iterations. In this paper, we propose an application of the MP algorithm to the MR imaging to reduce imaging time. Inner products of residual signals and selected waveforms in the MP algorithm are derived from the MR signals by excitation of RF pulses which are fourier transforms of selected waveforms. Results from computer simulations demonstrate that the imaging time is reduced by using the MP algorithm and further a progressive reconstruction can be achieved.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.12 no.1
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• pp.86-93
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• 2012

This paper presents a new approach to solve the pursuit problem based on a univector field method. In our proposed method, a set of eight agents works together instantaneously to find suitable moving directions and follow the univector field to pursue and capture a prey agent by surrounding it from eight directions in an infinite grid-world. In addition, a set of strategies is proposed to make the pursuit problem more realistic in the real world environment. This is a general approach, and it can be extended for an environment that contains static or moving obstacles. Experimental results show that our proposed algorithm is effective for the pursuit problem.

• The Research Journal of the Costume Culture
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• v.11 no.4
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• pp.474-486
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• 2003

The purpose of this study is to investigate on the shopping orientation and the importance of store attributes of luxury brand consumer. A questionnaire survey was administered to 350 female consumers over twenties who live in Seoul metropolitan area and Kyung-ki area. 324 data were analyzed by factor analysis, chi-square, ANOV A, correlation, and t-test. The results were as follows. 1) As a result of factor analysis, five dimensions were identified for shopping orientation: pursuit of ostentation and fashion, pursuit of pleasure, pursuit of economy, pursuit of personality, and pursuit of store convenience. 2) According to the factor analysis, the importance of store attributes were categorized in three factors: product and store service-conscious, price-conscious, and buying convenience-conscious. 3) Regarding the relation between shopping orientation and importance of store attributes, significant differences were found. 4) There were significant differences in according to demographic variables in terms of shopping orientation and importance of store attributes and store patronage.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.9_10
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• pp.1026-1035
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• 2003

The purposes of this study were to analyze the new lifestyle of female consumer of age in the range of 19∼35 and to investigate their clothing-purchasing behavior and preferred sensation by lifestyle group. The questionnaire survey was carried out on 402 subjects with 31 lifestyle questions, 32 questions of clothing purchasing behavior and 18 questions of preferred sensation. Through factor, cluster analysis and anova using SPSS, we found that the female consumers were composed of 6 lifestyle groups; Traditional Appearance Pursuit(19.4%), Personal Life Pursuit(15.7%), Outer Beauty Pursuit(15.9％), Active Practical Pursuit(11.4%), Digital Leisure Pursuit(13.4%) and Unconcern(21.6%). The location of 6 lifestyle group were visualized in 2-D as the horizontal axis of 'Internal↔Appearance' and the vertical axis of 'Personal↔Collective'. Six groups by lifestyle showed different clothing-purchasing behavior and preferred sensations, and had different socio statistical parameters, such as age, income, job and education.

• Journal of the Korea Fashion and Costume Design Association
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• v.18 no.3
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• pp.99-111
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• 2016

In order to use cosmetics brands SNS effectively and establish strategy, the purpose of this study is to provide consumer date. According to cosmetics consumption value groups, this study examined each cosmetics consumption value group's level of concern of three cosmetics brands SNS features, informativity, enjoyment and interactivity. For the data, questionnaire was collected by 198 women, and the data were measured by ANOVA, factor analysis, cluster analysis and Ducan test. According to cluster analysis cosmetics consumption value groups were divided into four groups, unconcern group, hedonic value pursuit group, function of brand value pursuit group, high concern group. The results of the study are as follows: First, high concern group thought highly of all cosmetics brands SNS features, including informativity, enjoyment and interactivity. In addition all consumer groups were concerned informativity rather then enjoyment and interactivity. Second, comparing with high concern group, other groups which include unconcern group, hedonic value pursuit group and function of brand value pursuit group were not concerned about cosmetics brands SNS features' enjoyment and interactivity. Except informativity, hedonic value pursuit group and unconcern group were more concerned interactivity than enjoyment. While, high concern group and function of brand value pursuit group were more concerned enjoyment than interactivity.