• Journal of the Korean Society of Costume
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• v.56 no.9 s.109
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• pp.14-23
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• 2006

The purpose of this study is to identify the esthetic features of femme fatale character fashions, which are shown in Movie . The feature of evil femineity is the attribute of evil which brings men to ruin by the dangerous, cunning, and cruel trick, and is expressed in black color, red color, and slash fashion. This fashion shows the dark reverse side of women's sexual desire in relation to anxiety, evil, and death. The feature of sensuality evokes physical pleasures or desires, and maximizes the exposure of sexual regions by tightening or loosening women's body. In the fashion expressing this feature, the forms are fit or loose silhouette. and the colors are black and red. and the materials are soft. This fashion seems to deconstruct the past concept of sex consciousness and emphasize the independent and autonomous femineity. The feature of positiveness combines feminine elements with masculine elements in relation to power elements. This feature is expressed in tailored suit and trousers, with few patterns and details, and in black color and gray color. This fashion reflects the aggressive, challenging, and independent femineity, and expresses the potential defense for the weakness and danger of female body. The feature of purity expresses the earnest and truthful mind, and is expressed in the soft and light one-piece dress, the elegant suit, and the pink color and black color fashion. This fashion shows angel-like and reliable womanly beauty, but at the same time shows women's attribute which changes their behavior and thinking every moment, so that this fashion shows women's double-sided attribute which combines women's weakness and violence, or tenacity and conflict.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.15 no.7
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• pp.618-627
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• 1990

In this paper a new algorithm for separation of contacting subpattern and connective feature extraction of strokes is proposed. This algorithm is able to classification of the type of contacting parts, connective feature extreaction of strokes, separate the phoneme of contacting parts between strokes, classify the character types by feature classification of connecting parts and analysis of connecting attribute. Also, shape normalize into formal patterns and decide on the input pattern from position value of bending feature of this normalized shape and make an recognition experiment by neural network using BEP learining algorithm. This algorithm represents the good achievement ratio by separation of phoneme, classification of character type, connective feature extraction of stroke and recognition experiment.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.3
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• pp.448-462
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• 1995

The purpose of this study was on the development of jeans via conjoint analysis and marketing strategies for each segmented market. The questionnaire was composed vervel card and defining the proper marketing strategies for each segmented market. The 269 usable data was distributed to the Univ student and carrier women through multi- stage , ;ambling. The statistical results were processed by the SPSS, PC MDS, and MANZANOLA program. The used methods of statistical data were conjoint analysis, KYST, PROFIT, factor analysis, frequency, one-way ANOVA, SNK, and paired t-test. The results of this study can be summaries as follows: 1. In competitor analysis, Korean brands were in low price zone, but foreign in high price and character style zone. 2. There was significant differences Korean brands and foreign brands on evaluating. On the basis of the perceptual maps, most of Korean brands were evaluated as having a good price and most of foreign brands were evaluated as having a good design. 3. The optimal jeans has the well-known brand, the price of less than 30, 000 won, traditional style, and good quality. In four attributes of clothing buying process, brand is most important attribute of jeans. Segment market 1.All the jeans that they have is Korean brand. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest. In the clothing sari ales lifestyle, they considered most conviniance. Segment market 2-They have one foreign brand jeans. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest Segment market 3-They have two foreign brand jeans. Income, amount spent pet month on clothing, how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered brand, continuance, and character. Segment market 4-They have more than three foreign brand. Income amount spent per month on clothing, and how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered most brand, and character.

• Journal of Information Technology Applications and Management
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• v.27 no.4
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• pp.85-91
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• 2020

Animation is a field of popular visual art that is established in human life, and the form of characters appearing is an important factor that is highly anticipated by the public. Designing animation characters according to aesthetic characteristics not only satisfies people's aesthetic needs but can also increase their artistic immersion in animation works. In addition, animation storytelling is delivered around characters and enhances the value of the work by encouraging more public to focus on it. In this paper, we tried to analyze the design elements of Minions characters to derive the reason why they are loved by the public. Among the morphological characteristics of bicepsin characters, a study was conducted on the fact that bicepsin characters visually express 'cute' through the study of infantile eating and color. The visual cuteness elements of a bisung character will soon be linked to the psychological satisfaction of the audience's work and will be a factor in the appreciation of the value of the work. By studying the elements of expression that represent isosin characters, I would like to discuss the factors that help the audience to immerse and get satisfaction with the characters. This will be used as an important factor for an animation character to have for the audience and will reveal its value. Second-class animation images belong to the art of small pieces, suitable for all the audience to enjoy. The two-size animated image has a strong appeal and entertainment, is a confusing visual attribute, can stimulate the audience's five senses. Compared with the actors in the movie, the visual form of the animation is more important.

• Advances in Energy Research
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• v.2 no.2
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• pp.73-84
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• 2014

Fuel cells of proton exchange membrane type (PEMFC) working with hydrogen in the anode and ambient air in the cathode ('air breathing') have been prepared and characterized. The cells have been studied with variable thickness of the cathode catalyst layer ($L_{CL}$), maintaining constant the platinum and ionomer loads. Polarization curves and electrochemical active area measurements have been carried out. The polarization curves are analyzed in terms of a model for a flooded passive air breathing cathode. The analysis shows that $L_{CL}$ affects to electrochemical kinetics and mass transport processes inside the electrode, as reflected by two parameters of the polarization curves: the Tafel slope and the internal resistance. The observed decrease in Tafel slope with decreasing $L_{CL}$ shows improvements in the oxygen reduction kinetics which we attribute to changes in the catalyst layer structure. A decrease in the internal resistance with $L_{CL}$ is attributed to lower protonic resistance of thinner catalyst layers, although the observed decrease is lower than expected probably because the electronic conduction starts to be hindered by more hydrophilic character and thicker ionomer film.

• Journal of Intelligence and Information Systems
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• v.19 no.4
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• pp.81-96
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• 2013

Video information retrieval has become a very important issue because of the explosive increase in video data from Web content development. Meanwhile, content-based video analysis using visual features has been the main source for video information retrieval and browsing. Content in video can be represented with content-based analysis techniques, which can extract various features from audio-visual data such as frames, shots, colors, texture, or shape. Moreover, similarity between videos can be measured through content-based analysis. However, a movie that is one of typical types of video data is organized by story as well as audio-visual data. This causes a semantic gap between significant information recognized by people and information resulting from content-based analysis, when content-based video analysis using only audio-visual data of low level is applied to information retrieval of movie. The reason for this semantic gap is that the story line for a movie is high level information, with relationships in the content that changes as the movie progresses. Information retrieval related to the story line of a movie cannot be executed by only content-based analysis techniques. A formal model is needed, which can determine relationships among movie contents, or track meaning changes, in order to accurately retrieve the story information. Recently, story-based video analysis techniques have emerged using a social network concept for story information retrieval. These approaches represent a story by using the relationships between characters in a movie, but these approaches have problems. First, they do not express dynamic changes in relationships between characters according to story development. Second, they miss profound information, such as emotions indicating the identities and psychological states of the characters. Emotion is essential to understanding a character's motivation, conflict, and resolution. Third, they do not take account of events and background that contribute to the story. As a result, this paper reviews the importance and weaknesses of previous video analysis methods ranging from content-based approaches to story analysis based on social network. Also, we suggest necessary elements, such as character, background, and events, based on narrative structures introduced in the literature. We extract characters' emotional words from the script of the movie Pretty Woman by using the hierarchical attribute of WordNet, which is an extensive English thesaurus. WordNet offers relationships between words (e.g., synonyms, hypernyms, hyponyms, antonyms). We present a method to visualize the emotional pattern of a character over time. Second, a character's inner nature must be predetermined in order to model a character arc that can depict the character's growth and development. To this end, we analyze the amount of the character's dialogue in the script and track the character's inner nature using social network concepts, such as in-degree (incoming links) and out-degree (outgoing links). Additionally, we propose a method that can track a character's inner nature by tracing indices such as degree, in-degree, and out-degree of the character network in a movie through its progression. Finally, the spatial background where characters meet and where events take place is an important element in the story. We take advantage of the movie script to extracting significant spatial background and suggest a scene map describing spatial arrangements and distances in the movie. Important places where main characters first meet or where they stay during long periods of time can be extracted through this scene map. In view of the aforementioned three elements (character, event, background), we extract a variety of information related to the story and evaluate the performance of the proposed method. We can track story information extracted over time and detect a change in the character's emotion or inner nature, spatial movement, and conflicts and resolutions in the story.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.35-51
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• 2012

Cloud computing is internet-based computing where computing resources are offered over the Internet as scalable and on-demand services. In particular, in case a number of various cloud services emerge in accordance with development of internet and mobile technology, to select and provide services with which service users satisfy is one of the important issues. Most of previous works show the limitation in the degree of user satisfaction because they are based on so called concept similarity in relation to user requirements or are lack of versatility of user preferences. This paper presents cloud service selection reasoning which can be applied to the general cloud service environments including a variety of computing resource services, not limited to web services. In relation to the service environments, there are two kinds of services: atomic service and composite service. An atomic service consists of service attributes which represent the characteristics of service such as functionality, performance, or specification. A composite service can be created by composition of atomic services and other composite services. Therefore, a composite service inherits attributes of component services. On the other hand, the main participants in providing with cloud services are service users, service suppliers, and service operators. Service suppliers can register services autonomously or in accordance with the strategic collaboration with service operators. Service users submit request queries including service name and requirements to the service management system. The service management system consists of a query processor for processing user queries, a registration manager for service registration, and a selection engine for service selection reasoning. In order to enhance the degree of user satisfaction, our reasoning stands on basis of the degree of conformance to user requirements of service attributes in terms of functionality, performance, and specification of service attributes, instead of concept similarity as in ontology-based reasoning. For this we introduce so called a service attribute graph (SAG) which is generated by considering the inclusion relationship among instances of a service attribute from several perspectives like functionality, performance, and specification. Hence, SAG is a directed graph which shows the inclusion relationships among attribute instances. Since the degree of conformance is very close to the inclusion relationship, we can say the acceptability of services depends on the closeness of inclusion relationship among corresponding attribute instances. That is, the high closeness implies the high acceptability because the degree of closeness reflects the degree of conformance among attributes instances. The degree of closeness is proportional to the path length between two vertex in SAG. The shorter path length means more close inclusion relationship than longer path length, which implies the higher degree of conformance. In addition to acceptability, in this paper, other user preferences such as priority for attributes and mandatary options are reflected for the variety of user requirements. Furthermore, to consider various types of attribute like character, number, and boolean also helps to support the variety of user requirements. Finally, according to service value to price cloud services are rated and recommended to users. One of the significances of this paper is the first try to present a graph-based selection reasoning unlike other works, while considering various user preferences in relation with service attributes.

• Cartoon and Animation Studies
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• s.31
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• pp.117-152
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• 2013

is a comics that the original Yoshokawa Eiji's novel . Since the series started in 1998, it's epic that records the 54 million or more copies of the cumulative sales volume to 1.7 million unit volume average in the book, 34 are currently up to volume has been published. proceeds with narratives in a way of following naturally the personality of a character based on the rule of an author, which is 'people should be described as what they are'. Accordingly it features very unique characterizing. This study focused on the fact that numerous characters in maintain a structural balance through the establishment of a character composition in an antipodal relationship although those characters have strong personalities. In order to analyze the relationship of such characters, the study utilized as an analytic frame MBTI personality types theory which is a psychology test tool. First, the study inferred personality patterns as the temperamental characteristics of MBTI, and tried to analyze the antipodal character composition based on the combination of cognition and judgment which are assumably the most important functions. From this, the study was able to discover the following three structures applied to those characters. (1) The antipodism between Musasi, the main character and Kojiro, a mirror character becomes central to the work, (2) The antipodal relationship between their fosterers and the character playing the mentor's role extends the character attribute of Musasi and Kojiro. (3) The Yoshioka family was also established in the antipodal composition as a role of exchanging influences with Musasi and Kojiro. Through this, the study reached a conclusion that in the pairs of characters in contrast were established as if to reach a dialectic synthesis. As such, the antipodal structuralization of the character composition shown in is deemed to differentiate the inner sides of numerous unique characters; thereby make it possible to describe their inner sides in-depth. Finally, the following common context is found: works in the field of successful comics and animation in terms of criticism and performance are focused on characters. It is probably because their consumers are relatively very interested in those characters as the characters in comics or animation become differentiated from those of novels or movies. Subsequently, it is expected that the analyzed results of characterizing can be referred to during the production of contents by preparing the results as database.

• Culinary science and hospitality research
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• v.19 no.3
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• pp.57-72
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• 2013

This study carried out an empirical analysis on the long-term effects of a marketing communication strategy used as a means of promotion(advertisement, free gift) of Christmas cake despite its high costs. Such verification results were considered to provide as important core elements for successful management in the bakery industry. By utilizing SPSS and AMOS, exploratory factor analysis(EFA) and confirmatory factor analysis(CFA) were conducted for the validity of the measurement items, and Structural Equation Model(SEM) was performed to verify the hypothesis. The analysis result is as follows. First, advertisement attribute(${\beta}$=0.269, t=4.512, p,<0.001) and free gift attitude(${\beta}$=0.293, t=5.043, p<0.001) had a positive influence on trust. Second, trust had a positive influence on purchase intention(${\beta}$=0.513, t=8.677, p<0.001). Third, advertisement attribute(${\beta}$=0.104, t=1.966, p,<0.05) and free gift attitude(${\beta}$=0.204, t=3.817, p<0.001) had a positive influence on purchase intention. Lastly, advertisement attitude appeared different by advertisement types(actors and animation), and ads with an actor were evaluated high than animation ads. Also, gift attitude appeared different by gift types(speaker doll/character hat and turtleneck muffler), and a turtleneck muffler was evaluated high than a speaker doll or a character hat.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.13 no.6
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• pp.1-9
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• 2014

Recently, a study is conducting to image collection and auto detection of attribute information using mobile mapping system. The road sign attribute information detection is difficult because of various size and placement, interference of other facilities like trees. In this study, a text detection method that does not rely on a Korean character template is required to successfully detect the target text when a variety of differently sized texts are present near the target texts. To overcome this, the method of incremental right-to-left blob projection (IRBP) was suggested as a solution; the potential and improvement of the method was also assessed. To assess the performance improvement of the IRBP that was developed, the IRBP method was compared to the existing method that uses Korean templates through the 60 videos of street signs that were used. It was verified that text detection can be improved with the IRBP method.