• Journal of Fashion Business
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• v.13 no.3
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• pp.62-76
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• 2009

The purpose of this study is to identify apparel consumers' immoral shopping behaviors from apparel retail sales associates' perspectives. As a first step to understand immoral consumer behaviors in apparel retail setting, the study took an exploratory approach using five focus-group interviews with 35 apparel salespeople. The immoral behavior of fashion (product) consumers was divided into two categories: one was the immoral behavior associated with the product, and the other was the immoral behavior relative to the consumer. The immoral behavior associated with the product was classified into three types: shoplifting, inappropriate returns, and damaging to merchandise. Immoral behavior relative to the consumer was classified into two types: abusive behavior by a consumer toward sales associates and excessive demand. Although, shoplifting was the primary immoral behavior mentioned by all interview participants, most sales associates failed to recognize shoplifting as a serious criminal behavior. Another commonly mentioned immoral consumer behaviors was retail borrowing, which may pose serious problems to the fashion industry. The findings of this study will provide a basis for approaches that may help decrease immoral consumer behavior at fashion retail stores and provide a basis for developing materials for consumer education over the long term.

• Journal of the Korean Society of Costume
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• v.53 no.4
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• pp.149-162
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• 2003

This study is designed for examining the names of men's and women's clothing of Choseon period, which can be divided into the upper, the lower, and the outer garments based on yu유, go고, po포 from the early period. Furthermore, amongst these various garments, this study shall define some kinds of clothing, which is shared its name and its use by both men and women, as the unisex clothing. Lastly we analyzed the special characteristics of this unisex clothing. With the names of clothing in Choseon period, we could understand about the difference of clothing's development by the names for the upper, lower, and outer garments as gender. And we also found the names for the unisex clothing in that period. The names of unisex clothing in Choseon period can roughly be divided into three garments; the upper, the lower, and the outer. Each category can also be subdivided into tku: i. e. the upper garments into jeogori저고리, hansam한삼, sama 삼아, jeoksam적삼, donguidae동의대, and godo고도; the lower garments into go고, gonja고자, and baji[paji파지, pachi파저］; and the outer garments into jangui장의, baeja배자, and juui주의. Furthermore, we can recognize that the shapes and uses of clothes in that period had been represented differently between the men's and women's.

• The Journal of the Acoustical Society of Korea
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• v.15 no.2E
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• pp.14-23
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• 1996

This paper is a on the neural network to recognize the phonemes, the weight initialization to reduce learning speed, and LR parser for continuous speech recognition. The neural network spots the phonemes in continuous speech and LR parser parses the output of neural network. The whole phonemes recognized in neural network are divided into several groups which are grouped by the similarity of phonemes, and then each group consists of neural network. Each group of neural network to recognize the phonemes consisits of that recognize the phonemes of their own group and VGNN(Verify Group Neural Network) which judges whether the inputs are their own group or not. The weights of neural network are not initialized with random values but initialized from learning data to reduce learning speed. The LR parsing method applied to this paper is not a method which traces a unique path, but one which traces several possible paths because the output of neural network is not accurate. The parser processes the continuous speech frame by frame as accumulating the output of neural network through several possible paths. If this accumulated path-value drops below the threshold value, this path is deleted in possible parsing paths. This paper applies the continuous speech recognition system to the threshold value, this path is deleted in possible parsing paths. This paper applies the continuous speech recognition system to the continuous Korea digits recognition. The recognition rate of isolated digits is 97% in speaker dependent, and 75% in speaker dependent. The recognition rate of continuous digits is 74% in spaker dependent.

• Archives of design research
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• v.20 no.3 s.71
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• pp.345-354
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• 2007

Sometimes characterized graphic map rather than realistic graphic map can help users to understand information more easily. This paper tried to reveal the relation between the methodology to create outline on the map using caricature automatic algorism and level of human cognition. Caricature algorism such as exaggeration transformation algorism, joint transformation algorism and simplification algorism were used to create outline on the map. In order to apply exaggeration transformation algorism and joint transformation algorism, the method to create average form of the object were developed. We survey how users recognize the similarity of the characterized map with the real map when realistic map is simplified by certain value of simplification rate and transformed into certain value of exaggeration rate or joint transformation rate. We also survey how users recognize the similarity differently according to the scale of the map. As a result of this study, the method to calculate the optimal data is developed for users to recognize caricatured map effectively by shifting scale. This data can be used as basic data, when map developers create outline of map with programming code on computer

• Journal of Energy Engineering
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• v.16 no.2
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• pp.53-57
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• 2007

High oil prices and high demand supporting IOC move to frontier and NOC evolution. Most frontier area reserves are in NOC territory. IOCs need to be able to manage relationships with NOCs in order to be successful. They need to tune into what NOC priorities are. NOCs have different priorities depending on whether they are resource rich or resource poor. IOCs need to recognize $NOCs^{\circ}{\emptyset}$ priorities and differentiate themselves by using them when talking to NOCs.

• Journal of Korean Society for Quality Management
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• v.16 no.2
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• pp.48-55
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• 1988

There have been several papers to illustrate how an information system is used in an automated warehouse system. These papers, however. do not carefully address the role of warehouse planning/control systems nor do they recognize how to integrate the management planning/control systems, and automated warehouse system. This article addresses such issues and shows how a business computer system can be used to integrate and unify the warehouse planning/control systems and the automated warehouse system into it single and highly productive operating system.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.715-719
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• 1991

In manufacturing process, usually 2-dimensional part drawing is used as a basic data. If a designer wants to recognize 2-dimensional drawing and formulate 3-dimensional shape, a proper feature recognition rule is required as a prerequisite step. These rules are converted Into knowledge base, should be ed separately in the recognition program and can be referenced In similar way of database application. In this paper, basic feature recognition rules are addressed in structure type knowledge base, and the application system is formulated which can be operated separately with existing data driven program.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.896-900
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• 1992

This paper presents a comprehensive methodology of automatic feature recognition for rotational parts. The parts of interest are rotational without deviation. In stage one, IGES formatted daa of 2D engineering drawings are transformed into three independent graphs through upperhalf profile. In stage two, recursive evaluations are made to recognize features and relevant information is acquired. Finally,an example is evaluated to demonstrate the recognition power of the developed algorithm for rotational features.

• Journal of the Korean Magnetic Resonance Society
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• v.22 no.4
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• pp.125-131
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• 2018

Chemical shift perturbation (CSP) is a simple NMR technique for studying binding of a protein to various ligands. CSP is the only technique that can directly provide both a value for the dissociation constant and a binding site from the same set of measurements. To accurately analyze the CSP data, the exact binding mode such as multiple binding, should be carefully considered. In this review, we analyzed systematically the CSP data with multiple modes. This analysis might provide insight into the mechanism on how proteins selectively recognize their target ligands to achieve the biological function.

• The KIPS Transactions:PartB
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• v.18B no.6
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• pp.375-384
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• 2011

This paper suggests a method to recognize facial expressions of animation characters by means of dominant colors and feature points. The proposed method defines a simplified mesh model adequate for the animation character and detects its face and facial components by using dominant colors. It also extracts edge-based feature points for each facial component. It then classifies the feature points into corresponding AUs(action units) through neural network, and finally recognizes character facial expressions with the suggested AU specification. Experimental results show that the suggested method can recognize facial expressions of animation characters reliably.